The Progress of Research on Genetic Factors of Recurrent Pregnancy Loss

Li, Qinlan; Chen, Shuting; Dong, Xinyi; Fu, Sen; Zhang, Tianyu; Zheng, Weiwei; Tian, Yonghong; Huang, Donghui

doi:https://doi.org/10.1155/2023/9164374

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Review Article | Open Access

Volume 2023 | Article ID 9164374 | https://doi.org/10.1155/2023/9164374

The Progress of Research on Genetic Factors of Recurrent Pregnancy Loss

Qinlan Li,¹Shuting Chen,¹Xinyi Dong,¹Sen Fu,¹Tianyu Zhang,¹Weiwei Zheng,²Yonghong Tian,³and Donghui Huang¹

Academic Editor: Nadeem Sheikh

Received04 Oct 2022

Revised09 Feb 2023

Accepted16 Feb 2023

Published24 Mar 2023

Abstract

Recurrent pregnancy loss (RPL) is both mental and physical health problem affecting about 1–5% of women of childbearing age. The etiology of RPL is complex, involving chromosomal abnormalities, autoimmune diseases, metabolic disorders, and endometrial dysfunction. The causes of abortion are still unknown in more than 50% of these cases. With the development of science and technology, an increasing number of scholars focus on this field and find that genetic factors may play an essential role in unexplained RPL, such as embolism-related genes, immune factor-related genes, and chromosomal numeric, and structural variation. This review summarizes the genetic factors associated with RPL, including genetic mutations and genetic polymorphisms, chromosomal variants, and chromosomal polymorphisms. Many related genetic factors have been found to be demographically and geographically relevant, some of which can be used for risk prediction or screening for the etiology of RPL. However, it is difficult to predict and prevent RPL due to uncertain pathogenesis and highly variable clinical presentation. Therefore, the genetic factors of RPL still need plentiful research to obtain a more accurate understanding of its pathogenesis and to provide more detection means for the screening and prevention of RPL.

1. Introduction

Recurrent pregnancy loss (RPL) is a common human reproductive disorder with an increasing incidence that affects approximately 1–5% of women of reproductive age [1]. It is estimated that the average prevalence of RPL for pregnant women is between 1–4% based on data from large-scale studies in Europe and the United States, in which approximately 50% of women suffer from unexplained RPL [2, 3]. The European Society of Human Reproduction and Embryology (ESHRE) defines RPL as three or more consecutive failed pregnancies at 20–24 weeks of gestation [4], and the American Society for Reproductive Medicine (ASRM) defines RPL as being two or more failed pregnancies [5]. The Royal College of Obstetricians and Gynaecologists (RCOG) defines RPL as fetal loss occurring three or more times consecutively with the same sexual partner and before the 24th week of gestation. RPL is multifactorial, and its pathogenesis involves multiple risk factors. These include abnormal uterine anatomy, genetic defects (parental chromosomal abnormalities), endocrine and metabolic disorders (hypothyroidism, diabetes mellitus), thrombosis, and autoimmunity (antiphospholipid syndrome) [6–8]. Although these and other associated factors have been identified, the exact cause of more than half of RPL etiologies remains unclear [9–11]. There are also many studies demonstrating the association of pregnancy loss with a woman’s age, with the lowest risk of pregnancy loss in women aged 25–29 years (9.8%), increasing in women aged 30–35 years, and then rising sharply to 33.2% in women aged 40–44 years [12]. With the development of reproductive genetics, there have been many advances targeting genetic polymorphisms and mutations, karyotypic abnormalities, and embryonic chromosomal abnormalities in RPL couples, and the rate of embryonic chromosomal abnormalities was found to be 60% in the general population [13] and the incidence of RPL was 29%–60% [14–16]. Therefore, this article will review the abovementioned genetic factors of RPL.

2. Method

Criteria for selecting the subjects were as follows: Genetic factors associated with recurrent pregnancy loss. To access the literature: select PubMed as the search database and search with “recurrent pregnancy loss, genetic factors, genetic polymorphism, chromosomal abnormalities” as the keyword. There were many pathogenic factors related with RPL, such as gene polymorphism and mutations, karyotypic abnormalities, and embryonic chromosomal abnormalities. Many articles suggested polymorphisms in genes associated with RPL including angiogenesis, thrombogenesis, immune, and the estrogen receptor. A few suggested new possibilities are metalloproteinase gene polymorphisms, ATP 6V1G3 gene, cytoplasmic GST genes, and CLOCK gene. A number of articles clarified chromosomal aberrations associated with RPL including chromosome number abnormalities and chromosomal structure abnormalities (translocation, inversion, etc.). A small group of articles intimated new possibilities, such as closed placental chimerism and skewed X inactivation.

3. Mutations and Gene Polymorphisms

Gene polymorphism means that the structure or nucleotide arrangement of the same gene may vary between individuals. It is an allelic variation that does not necessarily affect the function of the gene but can be used as a marker to distinguish individuals. Its formation mechanism is a gene mutation.

3.1. Genes Associated with Angiogenesis

The generation of placental villi and embryonic vasculature is a critical step throughout embryonic development and is the foremost condition for embryo implantation. The major inducers of angiogenesis are essential for stimulating trophoblast proliferation, embryonic vascular development, and the growth of maternal and fetal blood cells during early pregnancy [17]. Vascular endothelial growth factor (VEGF) and nitric oxide synthase (NOS) are possible regulatory factors associated with RPL. VEGF gene polymorphisms affect protein expression by altering the transcriptional activity of the gene. Insufficient expression of VEGF affects the production of placental villi and metaplastic vessels, resulting in an inadequate blood supply to the embryo and causing impaired embryonic development, leading to RPL. NOS is a key enzyme in nitric oxide (NO) metabolism. Genetic polymorphisms can lead to conformational changes in endothelial nitric oxide synthase (eNOS) and affect eNOS activity, resulting in reduced NO synthesis. NO is a smooth muscle relaxant, and reduced NO synthesis leads to decreased vascular permeability and placental blood flow, thereby inhibiting embryo implantation. NO levels also regulate placental chorionic gonadotropin, which is associated with embryonic development [13].

As an angiogenic factor that may be associated with RPL in several populations [18], VEGF plays a significant role in fetal and placental angiogenesis. Moreover, placental VEGF is secreted from the endometrium, placenta, and endothelial and vascular smooth muscle cells [19]. The receptor-containing kinase insertion domain, also known as VGEF receptor 2, has been reported to have angiogenic effects on the placenta via the VGEF-KDR pathway [18, 20]. Several single nucleotide polymorphisms (SNPs) of the KDR gene have been reported to related to various diseases, such as nonsmall cell lung cancer, breast cancer, coronary heart disease, and RPL. However, the effect of KDR varies with different ethnic groups [21]. Many genetic association studies have examined the possible link between SNPs in VEGF and RPL susceptibility. For example, a recent meta-analysis [22] showed that polymorphisms in rs1570360, rs3025039, rs2010963, and rs3025020 were associated with RPL susceptibility. A later study [23] showed that the 1612G > A and 1725G > A polymorphisms in the VEGF 3′-UTR were relevant to RPL susceptibility in Korean women and that the VEGF 3′-UTR polymorphisms could be used as biomarkers for detecting RPL risk. The researchers also found increased expression of VEGF and its soluble Fms-like tyrosine kinase-1 (sFlt-1) during normal placental development, suggesting that VEGF signaling is a key hub for embryonic angiogenesis and vasculogenesis during placental development. One of the pathological features of RPL is dysfunctional angiogenesis and vasculogenesis, which implies that VEGF dysregulation may the relevance of RPL [24]. In addition to VEGF, it has also been shown that reduced Cx43 expression may also contribute to vascular dysfunction and angiogenesis disorders [25].

The G894T allelic variant of the NOS3 gene has a protective effect against the development of RPL in women. Consequently, the G894T allele variant may be a causal factor in the development of the disease [26]. However, more genetic association and functional studies in different populations are necessary to clarify the contribution of NOS3 + 894 G/T gene variants to IRSA [27]. Shin et al. [28] investigated three common polymorphisms of the eNOS gene (−786T > C, 4a4b, 894G > T) and RPL. eNOS 894GT + TT genotype and—786T—4b—894T haplotype were concluded to be significantly associated with RPL in Korean women. Furthermore, Parveen et al. [29] found that at least three common polymorphisms in the eNOS gene, namely, 12862A > G, Glu298Asp, and intron 4 VNTR, increased the risk of RPL in North Indian women. The abovementioned factor may elucidate that there are significant regional differences in VEGF and NOS gene polymorphisms, and more samples are needed to draw accurate conclusions.

Both VEGF and NOS have some population specificity, and mutations in their different loci may correlate with RPL in different regional populations, and this should be considered when determining the etiology of RPL.

3.2. Genes Associated with Thrombogenesis

The genetic polymorphisms associated with thrombogenesis are methylenetetrahydrofolate reductase (MTHFR) C677T, Factor V (FV) G1691A, Factor II (FII) G20210A, plasminogen activator inhibitor-1 (PAI-1) 5G/4G, etc. Mutations in these genes can cause persistent hypercoagulation and thrombotic tendency, leading to spontaneous abortion, but their correlation with RPL varies across geographic regions and populations [30, 31].

Among the mechanisms leading to RPL are as follows: (1) The increased frequency of mutated genes in the C667T locus of methylenetetrahydrofolate reductase (MTHFR) leads to a reduction in the action of MTHFR enzyme activity, causing high plasma homocysteine and low folate levels, which consequently brings about adverse pregnancy outcomes such as spontaneous abortion and abnormal embryonic development; (2) coagulation factor V (FV) active protein C (APC) controls the content and activity of coagulation factor V. Genetic polymorphisms cause APC resistance, which causes inactivation of coagulation factor V and increases blood hypercoagulation causing RRL; (3) during coagulation, mutations in the coagulation factor II (FII) gene lead to an increase in the amount of FII in the blood, which is converted from coagulation factor Va (FVa) to thrombin, leading to cause thrombosis; (4) mutations in fibrinogen activator inhibitor (PAI-1) occur and prevent fibrinolysis, leading to placental vascular thrombosis [13].

A related study reported the relationship between genetic polymorphisms of thrombogenic factors and RPL and found that FV G1691A and FII G20210A G/A heterozygous genotypes were high-risk factors for RPL occurrence, and PAI-1 5G/4G heterozygous genotype was a low-risk factor for RPL occurrence. In contrast, MTHFR C677T genotype was not directly related to RPL occurrence [32]. Later, it has also been shown that women with MTHFR 677TT (pure mutation, TT) genotype have markedly lower vitamin D levels, higher homocysteine, and natural killer (NK) cytotoxicity compared to women with MTHFR 677CC (wild type, CC) and 677CT (heterozygous mutation, CT) genotypes [33]. Fibrinogen activator inhibitor type 1 (PAI-1) regulates fibrinolysis, and the joint promoter region variants −675G/A (4G/5G) and −844G/A are associated with an increased risk of thrombosis. The association of PAI-1 variants with increased risk of RPL was also demonstrated by Magdoud et al. experiment [34].

One study [35] investigated 145 women with at least two consecutive miscarriages and 135 women with at least two children, and no history of miscarriage, genotypes of MTHFR C677T, and FVL and FII (prothrombin) polymorphisms were detected by real-time PCR. Information about exposure to environmental risk factors was also collected and no statistically diverse genotypes or allele frequencies were found for polymorphism studies, either in the women’s RPL group or in the control group. Therefore, they concluded that such polymorphisms should not be considered risk factors for RPL in this population. Other studies have also reported no remarkable difference in the frequency of specific thrombosis-related mutations in women with a history of at least two miscarriages compared with women without pregnancy failure, which illuminates that obstetric failure may depend on the total number of individual mutations rather than the presence of individual genetic mutations [36].

In summary, conclusions regarding the association between thrombogenesis-related genes and RPL are not uniform and may be geographically correlated, with some studies suggesting that mutations or genetic polymorphisms in a subset of thrombogenesis-related genes are associated with RPL. Meanwhile, some prospective cohort studies have not found an association between thrombophilia and adverse pregnancy outcomes. Therefore, more relevant, multiregional studies are required.

3.3. Immune-Related Genes

Fetal genes are determined by both paternal and maternal lines. As a semigenetic transplantation process, pregnancy usually requires effective immune regulation to maintain immune homeostasis to avoid miscarriage due to rejection by the maternal immune system [37]. Thus, immune imbalance plays a material role in RPL. Inflammation may be associated with RPL, and some inflammation-related genes have been reported to be expressed abnormally in women with RPL. It has been shown that the rs910352T allele of the SERPINA4 gene is considerably relevant to RPL susceptibility, that the SERPINA4 rs20707777AA genotype is also associated with an increased risk of RPL, and that the SERPINA4 rs2070777AA genotype may increase the risk of RPL in a southern Chinese population [38]. It has also been shown that the distribution of genotypes and allele frequencies of FAU rs769440 differed vastly between RPL cases and healthy controls [39].

3.3.1. B Cell-Related Genes

One study [40] showed a significant decrease in mRNA expression of B-cell-associated factors IL-10 and PD-L1 and increased expression of genes BLIMP1, IRF4 and XBP-1 in patients with RPL. An abnormal increase in PD-1/PD-L1 is detrimental to pregnancy and increases maternal immune rejection, leading to miscarriage [41]. The result [42, 43] of one study showed that the levels of IL-10-synthesizing B cells in the stimulated total B cell population isolated from the peripheral blood of RPL patients were markedly lower compared to those of normal pregnant women, unraveling that a decrease in the number of these cells may contribute to RPL. The decrease in the peripheral blood IL-10-synthesizing B cells may prompt RPL pathogenesis [44].

3.3.2. NK Cell-Related Genes

Natural killer cells (NKs) are the most pivotal cells in fetal-maternal immune tolerance induced by the interaction of maternal killer cell immunoglobulin-like receptors (KIR) with fetal leukocyte antigens (HLA). IL-10 may negatively regulate the cytotoxicity of uterine NK (uNK) cells affecting pregnancy [45]. In RPL women, elevated levels of NK cells and increased NK cytotoxicity are relative to an increased T helper 1 immune response. It has been shown that the suppressor gene KIR3DL1 is a protective factor and the activator genes KIR2DS2 and KIR2DS3 are risk factors for RPL [46].

NK cells are related to the decidual immune microenvironment, where the meconium immune cells at the maternal-fetal interface are predominantly composed of NK cells, macrophages, T cells, and a few other cell types (e.g., dendritic cells, NKT cells, etc.) [47]. It is suggested that abnormalities in the metaplastic immune microenvironment may be involved in the pathogenesis of RPL [48].

NK cells are also pertinent to TLR3, a type I transmembrane protein consisting of 904 amino acids and composed of four parts, namely, an extracellular region containing 23 LRRs, N- and C-terminal cysteine-rich flanking regions, a transmembrane region, and a cytoplasmic tail region containing TIR. TLR3 recognizes “non-self” origin of nucleotide derivatives [49]. TLR3 activates NK cells, which participate in the maintenance of pregnancy tolerance by regulating fertilized egg implantation and uterine vascular alterations, probably through the association with poly (I-C), but excessive NK cell activity may lead to embryonic resorption and thus induce abortion [50].

3.3.3. HLA-Related Genes

The embryo derives half of its genetic inheritance from the father and develops in the uterine environment, similar to a hemizygote. Thus, the fetus may be rejected by the maternal immune system, and one of the most essential immune factors is HLA-G. HLA-G is a nonclassical HLA class I antigen highly expressed on embryonic trophoblast cells in the meconium [51].

HLA expression in trophoblast cells has been shown to play an important role in maternal-fetal interface immune tolerance, with specific KIR in women with RPL and HLA ligands in couples causing susceptibility to RPL. One study found a prevalence of HLA-DQ2/DQ8 haplotype positivity in 51.58% of the women with RPL included in their trial, which is 1.5–2 times higher than the general population, which is in the range of 25%–40%, resulting in a higher prevalence of HLA-DQ2/DQ8 polymorphism and poorer pregnancy outcomes [52]. A report exploring the relationship between KIR2DL2 and its cognate ligand HLA-C1, found that a decrease in inhibitory KIR (inhKIR) ligands may be responsible for insufficient trophoblast inhibition by maternal uterine NK cells, resulting in RPL pathogenesis. Specific KIR and HLA-C genotyping may also be used to predict reproductive outcomes in women with RPL [53].

3.3.4. Genetic Polymorphisms in Interleukin Genes

Many interleukin cytokines play a role in human conception [51]. Variations in genes alter the corresponding protein expression levels. SNPs in promoters are suspected to affect transcription factor binding, which may affect interleukin production and therefore be associated with RPL [54]. IL-1β (−511C/T) polymorphism leads to an increase in IL-1β production and the proportion of NK cells in the lymphocyte population [55, 56], producing a pro-inflammatory effect, which is elevated in women with RPL. IL-6 plays a role in trophoblast function [57], and IL-6 (−634) promoter mutations directly reduce IL-6 transcription and expression, and this nucleotide alteration also provides a potential for NF-1 transcription factor binding sites [58]. Variants in the IL-18 promoter region affect IL-18 transcription and translation, and IL-18 protein expression is lower in patients with RPL [59]. Interleukins and the corresponding immune cells work cooperatively to maintain the immune homeostasis of the mother and fetus; an imbalance of interleukin cytokines may lead to miscarriage [60]. The relationship between some interleukin gene polymorphisms and RPL is consistent in studies, such as IL-1β (−511C/T), IL-6 (−634C/G), IL-10 (−1082G/A, −819T/C), IL-18 (−137G/C) and IL-18 (−105G/A) [61]. However, in a small number of papers, interleukin genes have been linked to RPL, which may be influenced by factors such as race.

3.4. Genetic Polymorphisms in the Estrogen Receptor Gene

Estrogen is necessary for the maintenance of a successful pregnancy, and deficiency of estradiol in the luteal phase is associated with an increased risk of pregnancy loss [62]. Estrogen passively diffuses into the cell, where it binds to and activates its cytoplasmic receptor (ER), forming an estrogen-ER complex. This complex translocates to the nucleus, where it binds to specific DNA sequences of hormone response elements and regulates the transcription of target genes. There are two different ER forms ERα and ERβ, with distinct tissue distribution and substrate specificity. ERα is encoded by the ESR1 gene located on chromosome 6 (6q25.1), whereas the ESR2 gene present encodes Erβ on chromosome 14 (14q23.2) [63]. Recent studies have shown that genetic polymorphisms in ESR1 and ESR2 in linkage to RPL but these studies have no definitive results. Previous study found differences in estrogen and RPL in the Chinese population, and the AGT haplotype of the ESR2 gene with rs2077647A, rs4986938G and rs1256049T polymorphisms (ESR2 hapAGT) was a protective factor for URSA in Chinese Hui women [64].

Bahia et al. [65] conducted a study in which the main finding was the close association of the rs2234693 ESR1 gene variant with RPL. Their results are consistent with earlier studies from Germany [66] and Spain [67], but not with those from Brazil [68], Western Canada (Vancouver area) [69], Iran [70] and China [71]. This discrepancy is due to the different sample sizes between this and other studies [68], as well as differences in ethnic background [70, 71] and experimental setting [71]. They also investigated the possible connection of the rs3020314 ESR1 gene variant with RPL, but found no prominent linkage, which is inconsistent with an earlier German study that reported a negative correlation of the rs3020314 variant with the risk of RPL [72].

Accordingly, the association of estrogen receptor genes with RPL is also geographically specific and population-specific, and other relative studies are requisite.

3.5. Other Gene Polymorphisms

The genes mentioned below cannot be categorized into the gene types mentioned above, but during the literature search suggested a correlation with the development of RPL. Some of the genes have been confirmed by many experiments to be associated with RPL, while others are newly proposed by the investigators and may require more data for validation.

3.5.1. Metalloproteinase Gene Polymorphisms

The regulation of matrix metalloproteinase proteins (MMPs) during embryo and placental implantation is pivotal for a successful pregnancy. In humans, 23 MMPs have been identified. MMPs are calcium-dependent zinc-containing endopeptidases that mediate ECM degradation, tissue remodeling, shedding of cell surface receptors, and processing of various signaling molecules [73]. A meta-analysis by Yan [74] showed that the MMP2 −735T allele and the MMP9 −1562T allele were closely integrated with the risk of RPL.

3.5.2. ATP 6V1G3 Gene

The ATP 6V1G3 protein was predominantly expressed in the cytoplasm and stained brown. In the study of Chen [75], high expression of ATP 6V1G3 protein was found in placental villi and metaphase tissues, respectively. High expression of ATP 6V1G3 protein in women with RPL. However, its molecular mechanism in the development of RPL remains unclear.

3.5.3. Genetic Polymorphisms of Cytoplasmic GST Genes

Oxidative stress (OS) [76] refers to the state of oxidative and antioxidant imbalance in the body. An essential prerequisite for normal metabolism, growth and development, is the provision of adequate oxygen during the embryonic, fetal and postnatal periods. The production of ROS due to hypoxia or hyperoxia, inflammation, or infection causes oxidative stress and changes in cell structure and function [77]. Defects in the maternal detoxification system may lead to RPL because the embryo is more exposed to exogenous and endogenous compounds. Many studies have shown that genetic polymorphisms in the cytoplasmic GST gene are associated with the risk of RPL [78–82]. It has been proposed that a genetic variant of the GSTA1 gene, the GSTA1-69C/T polymorphism (rs3957357), is significantly associated with the risk of RPL in Italian women with RPL [83]. However, some studies have also reported that the GSTA1-69C/T polymorphism is not significantly associated with the development of RPL in the Chinese Han Chinese population [84]. Therefore, the relationship between GST gene polymorphisms and RPL may also be related to the ethnic. In addition, sperm DNA is susceptible to oxidative damage, and increased sperm DNA fragmentation (SDF) may also lead to abnormal embryonic development [85].

3.5.4. Genetic Variation in the CLOCK Gene

There is growing evidence that circadian rhythms affect a large number of physiological systems, including reproduction [86, 87]. Recent animal evidence unravels that disruption of synchronized clock activity relates to the pathogenesis of pregnancy complications. Repeated shifts in the light-dark cycle disrupt endogenous circadian rhythms and dramatically decrease the success rate of pregnancy in mice [88]. In addition, impaired reproductive capacity in humans has been closely linked with night work [89]. In humans, night shift workers have been shown to have increased rates of reproductive abnormalities and adverse pregnancy outcomes in terms of miscarriage, low birth weight and preterm birth [90]. Genetic variants in the circadian genes ARNTL and NPAS2 are thought to contribute to fertility, with genetic variants in the ARNTL gene being closely related to a higher number of miscarriages and specific genotypes of the Npas2 gene being associated with a reduced number of miscarriages [91]. Genetic variants in the circadian genes ARNTL2, CRY2, DEC1, PER3 and RORA have also been conjoined with an increased risk of premature placental abruption [92]. Additionally, it has been proved that low levels of CLOCK expression in pregnant women may lead to spontaneous abortion [93], and a study provided evidence that genetic variants in the CLOCK gene may be connected with IRSA [94].

3.5.5. Mucin-Related Gene Polymorphisms

A recent study showed that MUC4 polymorphism correlates with RPL susceptibility in Korean women [95]. In this study, MUC4 rs882605 C > A and MUC4 rs1104760 A > G were strongly associated with an increased risk of RPL in Korean women. Mucin is secreted by the epithelial cells of the reproductive tissues to produce mucus of the cervix and endometrium, which plays an important role in reproductive processes [96]. Mucin 4 (MUC4) is the major mucin in the endometrial epithelium [96]. A study has found that MUC4 promotes cell migration, alters the endometrial environment, and creates weak spots in the epithelium, thereby prompting the failure of embryo implantation [96].

Thus, some genetic mutations and genetic polymorphisms are risk factors for RPL (Table 1), and it can be speculated that genetic mutations and genetic polymorphisms may occur in multiple concurrently, increasing the complexity of RPL etiology.

4. Chromosomal Abnormalities

4.1. Chromosomal Abnormalities in Embryos

Embryonic chromosomal abnormalities are a fundamental cause of RPL, primary infertility, mental retardation of the child, congenital malformations, growth retardation and other disorders. The incidence of embryonic chromosomal abnormalities in the general population is 60% [13], and the incidence of RPL is 29%–60% [14–16], most of which are chromosomal number abnormalities (96%), and a few are structural abnormalities (3%) [97].

4.1.1. Chromosome Number Abnormalities in Embryos

Numerical abnormalities of chromosomes are classified as aneuploidy (trisomy, haploidy) and polyploidy, and chromosomal aneuploidy abnormalities are the most common, accounting for 70%, of which 60% are trisomic [97], followed by polyploidy and haploidy, 16-trisomy (12%–19%), 22-trisomy (4%–10%), and X-haploidy (6%–10%) are the most common [98]. Genetic risk factors for embryonic aneuploidy include meiotic errors, mitotic errors, and abnormal parental chromosome structure. Trisomies are usually the result of chromosome non-separation in maternal meiosis and commonly involve chromosomes 13, 16, 18, 21 and 22. At the same time, autosomal haploids are less common in monosomal abortions and are mostly X-sex chromosomes that occur as a result of the loss of the couple’s X chromosome. Polyploidy, such as triploidy or tetraploidy, is usually caused by double spermatozoa or eggs that do not separate during maternal meiosis and are directly fertilized; tetraploidy may result from mitotic non-separation of the fertilized egg [99]. Maternal age was also found to be a primary risk factor for embryonic aneuploidy [100]; the proportion of aneuploid embryos increased from 25–35% in women under 35 years of age to 55–85% in women aged 40–45 years [101, 102].

4.1.2. Embryonic Chromosomal Structure Abnormalities

Embryonic chromosomal abnormalities originate from two sources: first, chromosomal aberrations caused by internal and external factors during gamete formation or fertilized egg division; second, chromosomal abnormalities in either spouse that are inherited to the fetus, thus causing embryonic abortion or spontaneous miscarriage. Theoretically, embryos with unbalanced translocations cannot survive, while chromosomes with balanced translocations can survive with essentially preserved genetic material and no apparent abnormalities. However, most clinical studies have found that a few embryos with balanced translocation chromosomes can also miscarry, and other causes of miscarriage cannot be excluded [103].

4.2. Chromosomal Abnormalities in Couples

Chromosomal abnormalities are present in at least one partner in 3%–8% of RPL couples, 92.9% of which are structural abnormalities and a small amount of which are numerical abnormalities. Common chromosomal number abnormalities include Turner syndrome (45, XO), Klinefelter syndrome (47, XXY), superfeminine syndrome (triple X syndrome, 47, XXX) and double Y syndrome (47, XYY) [98]. Chromosomal structural abnormalities are dominated by translocations (including reciprocal balanced translocations and Robertsonian translocations), and in approximately 3.5% of couples, the parents are carriers of structural chromosomal rearrangements [104]. Others include chimerism, ring chromosomes, chromosomal insertions, inversions, duplications and deletions [12]. Parental chromosomal translocations, inversions and copy number variants are more common in couples with RPL (2–5%) than in the general population (0.7%) [104–107]. In couples with RPL, the male partner has 2.7 times the average rate of sex chromosome aneuploidy and 3–6 times the rate of aneuploidy on chromosomes 13, 18 or 21 [108].

4.2.1. Translocation

Reciprocal balanced translocation (RBT) is formed by a mechanism in which two chromosomes break simultaneously and the broken fragments are exchanged to form two derived chromosomes, generally without increasing or decreasing in genetic material. Thus, the individual usually has no phenotypic alterations. Reciprocal balancing translocations (RBT) can occur between homologous or non-homologous chromosomes. Still, balancing translocations between homologous chromosomes cannot produce gametes, so we will only discuss the case of balancing translocations arising between non-homologous chromosomes. (Figure 1(a)). It has been reported that 18 gametes can be produced during gamete formation, only one of which is normal, and the rest are unbalanced gametes. Segregation was performed by five possible modes: alternate, adjacent-1, adjacent-2, 3 : 1 or 4 : 0 (Figure 1(b)). Alternating segregation produces only balanced gametes. Adjacent-1, Adjacent-2, 3 : 1 and 4 : 0 segregation will produce unbalanced gametes. Reciprocal balanced translocations occur in 0.195% of the general population, and the frequency of translocations is about 1.3% in infertile males [109]. In 3% to 6% of RPL, one of the two parents carries a chromosomal balanced translocation [37]. When an abnormal gamete binds to a normal egg or sperm, an imbalance in genetic material can induce monosomies or trisomies. Thus resulting in miscarriage and stillbirth.

(a)

(b)

Figure 1

(a) Balanced translocations on nonhomologous chromosomes. (b) Possible gametes in patients with balanced translocations. During meiosis I, the translocated chromosome combines with its normal homologous chromosome to form a tetrad. Balanced gametes containing normal non-homologous chromosomes or two translocated chromosomes resulting from alternate segregation are designated by green border, and unbalanced gametes by red border. Chromosome segregation patterns for tetrad are shown: 2 : 2 (two non-homologous or two homologous chromosomes segregate together in an adjacent-1 or adjacent-2 segregation, respectively), 3 : 1 (three chromosomes segregate into one cell and one into the other), and 4 : 0 (all chromosomes segregate together).

Robertsonian translocation occurs in acrocentric chromosome and refers to the process in which two proximal chromosomes break at the trophectodomain to form a long-arm chromosome. Robertsonian translocations can occur between homologous or non-homologous chromosomes, but Robertsonian translocations between homologous chromosomes also fail to produce gametes. Therefore, we shall only summarize the case of non-homologous chromosome equilibrium translocations (Figure 2(a)). It is a specific form of translocation with an incidence of 0.1% in the general population. After translocation, the two long arms fuse with each other to form a larger chromosome, while the two short arms are often lost. The chromosomes in which translocations occur are classified as homozygous Robertsonian translocations or non-homozygous Robertsonian translocations. Non-homologous Robertson translocations can produce six types of gametes when forming germ cells, one normal, one balanced and the other four unbalanced (Figure 2(b)). Unbalanced gametes can cause abortions, malformations and stillbirths due to an imbalance of genetic material. In the case of homozygous Robertsonian translocations, the general offspring only have the possibility of forming translocated trisomies or monosomies.

(a)

(b)

Figure 2

(a) Robertsonian translocations on non-homologous chromosomes. (b) Possible gametes in patients with robertsonian translocations. Non-homozygous robertsonian translocations can produce six types of gametes in the formation of germ cells, one normal, one balanced, and the remaining four unbalanced gametes. Normal and balanced gamets are designated by green border, and unbalanced gametes are designated by red border. The probability of normal and robertsonian translocation carrier are both 1/8.

Balanced translocations and inversions do not affect the phenotype of the parents themselves, but their unbalanced gametes during meiosis may indeed be partially responsible for abortion. Likewise, Robertsonian translocations of parental chromosomes may cause miscarriages, congenital disabilities or mental retardation in the offspring [110]. Chromosomes 11, 6, 4, 1 and 18 are the most common translocated chromosomes [111].

4.2.2. Inversion

An inversion is a rearranged chromosome formed when a chromosome breaks in 2 places, forming 3 segments. The middle segment is inverted by 180° and then joined to form a rearranged chromosome, which is divided into inter-arm inversion and intra-arm inversion (Figures 3(a) and 3(b)). Inverted chromosomes form an inversion loop during meiosis, and homologous chromosomes undergo recombination to produce four types of gametes, one normal, one inversion carrier, and the other two unbalanced gametes with partial duplication and partial deletion of no or double mitosis (Figures 3(c) and 3(d)), which, when combined with normal gametes, cause an imbalance of genetic material, resulting in abortion or stillbirth. Interarm inversions are most common on chromosomes 1, 9 and 11, with a prevalence of 1.0% in the population and 2.28% in RPL patients, observably higher than in the general domestic population. There are some controversies regarding the effect of the inversion of chromosome 9 on RPL. Some studies have illustrated that Inv (9) is the least common polymorphic variant in infertile couples [112], while Jeong et al. [113] also suggested that inter-arm inversions of chromosome 9 are normal variants and generally do not affect individual health. Most scholars believe that interarm inversion of chromosome 9 is a polymorphism and that carriers do not have an abnormal phenotype. However, an increasing number of studies clarify that it is closely related to abnormal clinical conditions such as infertility and RPL.

(a)

(b)

(c)

(d)

Figure 3

Chromosomal inversions: two breaks in the same chromosome, causing the resulting fragments to reconnect after 180 degrees of reversal. (a) Paracentric inversion: the inverted segments do not contain chromosomes. (b) Pericentric inversion: the inverted segments contain chromosomes. (c) Possible gametes of paracentric inversion. In meiosis, a crossover between a normal chromosome and an inverted chromosome results in the loss or duplication of a segment of the gametophyte chromosome, leading to chromosome abnormality and abnormal traits in the offspring. Balanced gametes are designated by the green border. Unbalanced gametes are designated by the red border. (d) Possible gametes of pericentric inversion. Balanced gametes are designated by the green border. Unbalanced gametes are designated by the red border.

4.2.3. Duplicates and Deletions

Chromosomal deletions and additions, called copy number variants (CNV) [105], are classified as large CNV (≥10 Mb) and submicroscopic CNV (<10 Mb). Nucleotide microarray technology was used to detect chromosomes in recurrent flow products, and small deletions of chromosome X were found in up to 6% of RPL women. Chromosome 16 duplications were the most common, followed by X chromosome deletions and triplet chromosome abnormalities, and again by chromosome 21 and 22 duplications. Minor deletion duplications of chromosomes, such as chromosome 2, 4, 9, 13, 14, 15, 17, 18 and 20 duplications were also found [112]. Larger deletions and increases in CNVs involving online human genetics (OMIM) genes and CNVs not found in large databases of normal individuals are likely to be associated with pregnancy loss, and pathological smaller CNVs (<400 kb) are of uncertain significance and may not be closely linked with pregnancy loss [105].

4.3. Chromosomal Polymorphism

Chromosomal polymorphisms are minor variations in chromosomes that can exist in normal populations, mainly in the size, morphology, and coloration of homologous chromosomes, such as variation in satellite of the D-G group, growth or shortening of chromosomal subconstrictions, and minor variations in the length of the Y chromosome. While chromosomal polymorphisms were previously thought to be non-pathological variants occurring in heterochromatin regions of chromosomes, including small variations in the structure, coloration intensity, and bandwidth, an increasing number of studies have shown that chromosomal polymorphisms increase the risk of developing RPL and are also associated with infertility, decreased sperm quality, and congenital disabilities. The mechanism of the clinical effect is that the variation in the heterochromatin region of chromosomal polymorphism affects the function of mitotic granules, as well as sister chromatid binding and chromosome segregation, adding to difficulties in homologous chromosome pairing, which affects cell division and thus causes embryonic developmental disorders, triggering the development of RPL. On account of chromosomal polymorphisms are also present in the normal population, it was previously thought that chromosomal polymorphisms were not the cause of RPL, but in recent years, several studies have shown a correlation between chromosomal polymorphisms and the occurrence of RPL.

The occurrence of chromosomal polymorphisms in the population should be relatively equal and stable. Meanwhile, the results of one study showed that chromosomal polymorphisms were more frequent in patients with RPL than in control patients, and the difference was conspicuous. In that study, it was also found that chromosomal polymorphisms frequently occurred in Chinese patients with RPL, implying that RPL in Chinese patients may be affiliated with chromosomal polymorphisms [52]. It has also been shown that 9 qh + polymorphism is the most observed variant in patients with recurrent miscarriage (RM) [113]. Amiel et al. [114] reported that the husband’s inv (9) could increase the frequency of heterozygosity in sperm cells, which may lead to miscarriage in his wife and Down syndrome in the fetus.

4.4. Special Chromosomal Abnormalities

4.4.1. Closed Placental Chimerism (CPM)

Restrictive placental chimerism occurs when all or part of the genetic makeup of the placenta differs from that of the fetus. Genetically abnormal placentas inextricably linked to placental insufficiency, fetal growth restriction and death [105]. Fetal growth restriction (FGR) was reported in 71.7% of CPM cases, and preterm birth (<37 weeks) was reported in 31.0% of cases. A high percentage of structural fetal malformations of 24.2% was also found in cases of CPM.

4.4.2. Skewed X Inactivation

In females, partial or complete inactivation of one X chromosome in a particular cell during the embryonic period is called X chromosome inactivation [105]. The X chromosome inactivation (XCI) process begins at the preimplantation stage of human embryonic development, probably around the eight-cell stage [115]. The extreme skew of XCI (when defined as greater than 90%, the incidence of XCI is significantly higher) is associated with RPL. The essentiality of RPL is diminished when it is defined as two or more losses [116]. In Korea, skewed X chromosomes were not bound up with patients with RPL of unknown cause [115]. In a case-control study, curved XCI and shortened telomere length were found to be closely tied with idiopathic premature ovarian failure (POI) despite the absence of alterations in the androgen (AR) and FMR1 genes. Additionally, women with shorter telomeres tended to exhibit a skewed XCI [117]. In a study by Sharp et al. [118], the incidence of severe skewing was higher in women with idiopathic premature ovarian failure and increased with age, with an incidence of 7% in women younger than 25 years and 16% in women older than 60. Through Mark’s research [119], solid statistical evidence was provided that female carriers of X-linked recessive fetal lethal defects are at incremental risk of RPL.

5. Conclusion and Future Directions

In summary, the etiology of RPL is complex and often results from a combination of multilinked abnormalities, with genetic factors involving not only abnormal karyotypes but also chromosomal polymorphisms (Table 2) and genetic abnormalities. However, due to differences in study sample size, geography, race, and population, many factors have not yet been uniformly concluded, and studies with expanded samples and increased geography are needed. Simultaneously, we should consider good genetic counseling and pregnancy screening in RPL prediction to detect problems early. In clinical practice, physicians should take a detailed medical history, and some ancillary tests are necessary to help screen for etiology. Patients with RPL should be monitored more closely during pregnancy, and if necessary, pregnancy should be terminated when appropriate.

Data Availability

No datasets were generated or analyzed during the writing of this review.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors’ Contributions

LQL and CST wrote the article and performed all of the necessary literature searches and data compilation. ZTY and FS performed the necessary literature searches and data compilation. DXY performed the English revision and proofreading of the article. DWW helped to find the literature and to revise and proofread the article. TYH revised the article and gave valuable suggestions. HDH designed the review, reviewed it, and approved the submitted manuscript. All authors have read and approved the final manuscript.

Acknowledgments

This work was supported by the National Natural Science Foundation of China (NO. 81771575) and the Independent Innovation Foundation of Tongji Medical College of Huazhong University of Science and Technology (NO. 5003510033).

References

J. Li, L. Wang, J. Ding et al., “Multiomics studies investigating recurrent pregnancy loss: an effective tool for mechanism exploration,” Frontiers in Immunology, vol. 13, Article ID 826198, 2022.
View at: Publisher Site | Google Scholar
H. El Hachem, V. Crepaux, P. May-Panloup, P. Descamps, G. Legendre, and P. E. Bouet, “Recurrent pregnancy loss: current perspectives,” International Journal of Women's Health, vol. 9, pp. 331–345, 2017.
View at: Publisher Site | Google Scholar
E. Dimitriadis, E. Menkhorst, S. Saito, W. H. Kutteh, and J. J. Brosens, “Recurrent pregnancy loss,” Nature Reviews Disease Primers, vol. 6, no. 1, p. 98, 2020.
View at: Publisher Site | Google Scholar
E. Jauniaux, R. G. Farquharson, O. B. Christiansen, and N. Exalto, “Evidence-based guidelines for the investigation and medical treatment of recurrent miscarriage,” Human Reproduction, vol. 21, no. 9, pp. 2216–2222, 2006.
View at: Publisher Site | Google Scholar
Practice Committee of the American Society for Reproductive Medicine, “Definitions of infertility and recurrent pregnancy loss: a committee opinion,” Fertility and Sterility, vol. 113, no. 3, pp. 533–535, 2020.
View at: Publisher Site | Google Scholar
S. S. Pierangeli, P. P. Chen, E. Raschi et al., “Antiphospholipid antibodies and the antiphospholipid syndrome: pathogenic mechanisms,” Seminars in Thrombosis and Hemostasis, vol. 34, no. 03, pp. 236–250, 2008.
View at: Publisher Site | Google Scholar
K. McNamee, F. Dawood, and R. G. Farquharson, “Thrombophilia and early pregnancy loss,” Best Practice and Research Clinical Obstetrics and Gynaecology, vol. 26, no. 1, pp. 91–102, 2012.
View at: Publisher Site | Google Scholar
M. Stephenson and W. Kutteh, “Evaluation and management of recurrent early pregnancy loss,” Clinical Obstetrics and Gynecology, vol. 50, no. 1, pp. 132–145, 2007.
View at: Publisher Site | Google Scholar
D. W. Branch, M. Gibson, and R. M. Silver, “Recurrent miscarriage,” New England Journal of Medicine, vol. 363, no. 18, pp. 1740–1747, 2010.
View at: Publisher Site | Google Scholar
J. Kaiser and D. W. Branch, “Recurrent pregnancy loss: generally accepted causes and their management,” Clinical Obstetrics and Gynecology, vol. 59, no. 3, pp. 464–473, 2016.
View at: Publisher Site | Google Scholar
C. P. Griebel, J. Halvorsen, T. B. Golemon, and A. A. Day, “Management of spontaneous abortion,” American Family Physician, vol. 72, no. 7, pp. 1243–1250, 2005.
View at: Google Scholar
M. C. Magnus, A. J. Wilcox, N. H. Morken, C. R. Weinberg, and S. E. Håberg, “Role of maternal age and pregnancy history in risk of miscarriage: prospective register based study,” BMJ, vol. 364, p. l869, 2019.
View at: Publisher Site | Google Scholar
J. M. Sánchez, L. Franzi, F. Collia, S. L. De Díaz, M. Panal, and M. Dubner, “Cytogenetic study of spontaneous abortions by transabdominal villus sampling and direct analysis of villi,” Prenatal Diagnosis, vol. 19, no. 7, pp. 601–603, 1999.
View at: Publisher Site | Google Scholar
R. Israel, J. J. Stern, A. D. Dorfmann, A. J. Gutiérrez-Najar, M. Cerrillo, and C. B. Coulam, “Frequency of abnormal karyotypes among abortuses from women with and without a history of recurrent spontaneous abortion,” Fertility and Sterility, vol. 65, no. 2, pp. 250–253, 1996.
View at: Publisher Site | Google Scholar
M. Ogasawara, K. Aoki, S. Okada, and K. Suzumori, “Embryonic karyotype of abortuses in relation to the number of previous miscarriages,” Fertility and Sterility, vol. 73, no. 2, Article ID 10685533, pp. 300–304, 2000.
View at: Publisher Site | Google Scholar
H. Carp, V. Toder, A. Aviram, M. Daniely, S. Mashiach, and G. Barkai, “Karyotype of the abortus in recurrent miscarriage,” Fertility and Sterility, vol. 75, no. 4, pp. 678–682, 2001.
View at: Publisher Site | Google Scholar
M. Kniotek, A. Roszczyk, M. Zych, M. Szafarowska, and M. Jerzak, “Differences in the expression of KIR, ILT inhibitory receptors, and VEGF production in the induced decidual NK cell cultures of fertile and RPL women,” BioMed Research International, vol. 2021, Article ID 6673427, 12 pages, 2021.
View at: Publisher Site | Google Scholar
M. T. Su, S. H. Lin, and Y. C. Chen, “Genetic association studies of angiogenesis- and vasoconstriction-related genes in women with recurrent pregnancy loss: a systematic review and meta-analysis,” Human Reproduction Update, vol. 17, no. 6, pp. 803–812, 2011.
View at: Publisher Site | Google Scholar
H. H. Lee, S. H. Hong, S. J. Shin, J. J. Ko, D. Oh, and N. K. Kim, “Association study of vascular endothelial growth factor polymorphisms with the risk of recurrent spontaneous abortion,” Fertility and Sterility, vol. 93, no. 4, pp. 1244–1247, 2010.
View at: Publisher Site | Google Scholar
M. T. Su, S. H. Lin, I. W. Lee, Y. C. Chen, and P. L. Kuo, “Association of polymorphisms/haplotypes of the genes encoding vascular endothelial growth factor and its KDR receptor with recurrent pregnancy loss,” Human Reproduction, vol. 26, no. 4, pp. 758–764, 2011.
View at: Publisher Site | Google Scholar
H. Rah, Y. J. Jeon, B. E. Lee et al., “Association of kinase insert domain-containing receptor (KDR) gene polymorphisms with idiopathic recurrent spontaneous abortion in Korean women,” Fertility and Sterility, vol. 99, no. 3, pp. 753–760.e8, 201.
View at: Publisher Site | Google Scholar
X. Xu, C. Du, H. Li et al., “Association of VEGF genetic polymorphisms with recurrent spontaneous abortion risk: a systematic review and meta-analysis,” PLoS One, vol. 10, no. 4, Article ID e0123696, 2015.
View at: Publisher Site | Google Scholar
H. J. An, J. H. Kim, E. H. Ahn et al., “3'-UTR polymorphisms in the vascular endothelial growth factor gene (VEGF) contribute to susceptibility to recurrent pregnancy loss (RPL),” International Journal of Molecular Sciences, vol. 20, no. 13, p. 3319, 2019.
View at: Publisher Site | Google Scholar
H. K. Choi, B. C. Choi, S. H. Lee, J. W. Kim, K. Y. Cha, and K. H. Baek, “Expression of angiogenesis- and apoptosis-related genes in chorionic villi derived from recurrent pregnancy loss patients,” Molecular Reproduction and Development, vol. 66, no. 1, pp. 24–31, 2003.
View at: Publisher Site | Google Scholar
X. He and Q. Chen, “Reduced expressions of connexin 43 and VEGF in the first-trimester tissues from women with recurrent pregnancy loss,” Reproductive Biology and Endocrinology, vol. 14, no. 1, p. 46, 2016.
View at: Publisher Site | Google Scholar
E. A. Trifonova, M. G. Swarovskaya, O. A. Ganzha, O. V. Voronkova, T. V. Gabidulina, and V. A. Stepanov, “The interaction effect of angiogenesis and endothelial dysfunction-related gene variants increases the susceptibility of recurrent pregnancy loss,” Journal of Assisted Reproduction and Genetics, vol. 36, no. 4, pp. 717–726, 2019.
View at: Publisher Site | Google Scholar
N. Pereza, B. Peterlin, M. Volk, M. Kapović, and S. Ostojić, “A critical update on endothelial nitric oxide synthase gene variations in women with idiopathic recurrent spontaneous abortion: genetic association study, systematic review and meta-analyses,” MHR: Basic science of reproductive medicine, vol. 21, no. 5, pp. 466–478, 2015.
View at: Publisher Site | Google Scholar
S. J. Shin, H. H. Lee, S. H. Cha et al., “Endothelial nitric oxide synthase gene polymorphisms (-786T>C, 4a4b, 894G>T) and haplotypes in Korean patients with recurrent spontaneous abortion,” European Journal of Obstetrics and Gynecology and Reproductive Biology, vol. 152, no. 1, pp. 64–67, 2010.
View at: Publisher Site | Google Scholar
F. Parveen, R. M. Faridi, S. Alam, and S. Agrawal, “Genetic analysis of eNOS gene polymorphisms in association with recurrent miscarriage among North Indian women,” Reproductive BioMedicine Online, vol. 23, no. 1, pp. 124–131, 2011.
View at: Publisher Site | Google Scholar
L. Xu, X. M. Liu, H. Y. Zhang, J. Zhao, Q. W. Qi, and Y. F. Chang, “[Relationship between three thrombophilic gene mutations and unexplained recurrent early spontaneous abortion],” Zhonghua Fu Chan Ke Za Zhi, vol. 42, no. 3, pp. 180–183, 2007.
View at: Google Scholar
N. Pereza, K. Črnjar, A. Buretić-Tomljanović et al., “Y chromosome azoospermia factor region microdeletions are not associated with idiopathic recurrent spontaneous abortion in a Slovenian population: association study and literature review,” Fertility and Sterility, vol. 99, no. 6, pp. 1663–1667, 2013.
View at: Publisher Site | Google Scholar
J. Djurovic, O. Stojkovic, J. Todorovic et al., “Genetics of suspected thrombophilia in Serbian females with infertility, including three cases, homozygous for FII 20210A or FV 1691A mutations,” Human Fertility, vol. 20, no. 2, pp. 132–139, 2017.
View at: Publisher Site | Google Scholar
K. Ota, T. Takahashi, A. Han, S. Damvaeba, H. Mizunuma, and J. Kwak-Kim, “Effects of MTHFR C677T polymorphism on vitamin D, homocysteine and natural killer cell cytotoxicity in women with recurrent pregnancy losses,” Human Reproduction, vol. 35, no. 6, pp. 1276–1287, 2020.
View at: Publisher Site | Google Scholar
K. Magdoud, V. G. Herbepin, R. Touraine, W. Y. Almawi, and T. Mahjoub, “Plasminogen activator inhibitor 1 4G/5G and -844G/A variants in idiopathic recurrent pregnancy loss,” American Journal of Reproductive Immunology, vol. 70, no. 3, pp. 246–252, 2013.
View at: Publisher Site | Google Scholar
C. G. Dutra, L. R. Fraga, A. P. Nácul et al., “Lack of association between thrombophilic gene variants and recurrent pregnancy loss,” Human Fertility, vol. 17, no. 2, pp. 99–105, 2014.
View at: Publisher Site | Google Scholar
C. B. Coulam, R. S. Jeyendran, L. A. Fishel, and R. Roussev, “Multiple thrombophilic gene mutations rather than specific gene mutations are risk factors for recurrent miscarriage,” American Journal of Reproductive Immunology, vol. 55, no. 5, pp. 360–368, 2006.
View at: Publisher Site | Google Scholar
X. Zhao, Y. Zhao, Y. Ping, L. Chen, and X. Feng, “Association between gene polymorphism of folate metabolism and recurrent spontaneous abortion in Asia: a Meta-analysis,” Medicine (Baltimore), vol. 99, no. 40, Article ID e21962, 2020.
View at: Publisher Site | Google Scholar
D. Che, Z. Fang, L. Pi et al., “The SERPINA4 rs2070777 AA genotype is associated with an increased risk of recurrent miscarriage in a southern Chinese population,” International Journal of Women's Health, vol. 13, pp. 111–117, 2021.
View at: Publisher Site | Google Scholar
Y. Gu, J. M. Wang, Z. F. Zhang et al., “The association between polymorphisms of genes related to inflammation and recurrent pregnancy loss,” Gynecological Endocrinology, vol. 34, no. 4, pp. 349–352, 2018.
View at: Publisher Site | Google Scholar
S. Danaii, F. Ghorbani, M. Ahmadi et al., “IL-10-producing B cells play important role in the pathogenesis of recurrent pregnancy loss,” International Immunopharmacology, vol. 87, Article ID 106806, 2020.
View at: Publisher Site | Google Scholar
T. Li, Y. Chen, Y. Lai, G. He, and G. He, “Expression and significance of PD-1 and PD-L1 in patients with recurrent spontaneous abortion: a protocol for systematic review and meta-analysis,” Medicine (Baltimore), vol. 100, no. 14, Article ID e25444, 2021.
View at: Publisher Site | Google Scholar
A. Esteve-Solé, Y. Luo, A. Vlagea et al., “B regulatory cells: players in pregnancy and early life,” International Journal of Molecular Sciences, vol. 19, no. 7, p. 2099, 2018.
View at: Publisher Site | Google Scholar
P. Y. Liang, L. H. Diao, C. Y. Huang et al., “The pro-inflammatory and anti-inflammatory cytokine profile in peripheral blood of women with recurrent implantation failure,” Reproductive BioMedicine Online, vol. 31, no. 6, pp. 823–826, 2015.
View at: Publisher Site | Google Scholar
R. M. Guzman-Genuino and K. R. Diener, “Regulatory B cells in pregnancy: lessons from autoimmunity, graft tolerance, and cancer,” Frontiers in Immunology, vol. 8, p. 172, 2017.
View at: Publisher Site | Google Scholar
J. S. Bonifacino, M. Dasso, J. B. Harford, J. Lippincott-Schwartz, and K. M. Yamada, Current Protocols in Cell Biology, Wiley, New York, NY, USA, 1998.
S. Akbari, F. Shahsavar, R. Karami, F. Yari, K. Anbari, and S. A. Y. Ahmadi, “Recurrent spontaneous abortion (rsa) and maternal KIR genes: a comprehensive meta-analysis,” JBRA Assist Reprod, vol. 24, no. 2, pp. 197–213, 2020.
View at: Publisher Site | Google Scholar
C. Guo, P. Cai, L. Jin et al., “Single-cell profiling of the human decidual immune microenvironment in patients with recurrent pregnancy loss,” Cell Discov, vol. 7, no. 1, p. 1, 2021.
View at: Publisher Site | Google Scholar
P. Triggianese, C. Perricone, M. S. Chimenti, C. De Carolis, and R. Perricone, “Innate immune system at the maternal-fetal interface: mechanisms of disease and targets of therapy in pregnancy syndromes,” American Journal of Reproductive Immunology, vol. 76, no. 4, pp. 245–257, 2016.
View at: Publisher Site | Google Scholar
L. Liu, I. Botos, Y. Wang et al., “Structural basis of toll-like receptor 3 signaling with double-stranded RNA,” Science, vol. 320, no. 5874, pp. 379–381, 2008.
View at: Publisher Site | Google Scholar
Y. Lin, Y. Zeng, S. Zeng, and T. Wang, “Potential role of toll-like receptor 3 in a murine model of polyinosinic-polycytidylic acid-induced embryo resorption,” Fertility and Sterility, vol. 85, no. Suppl 1, Article ID 16616084, pp. 1125–1129, 2006.
View at: Publisher Site | Google Scholar
B. F. Jin, “[Male factors and countermeasures for recurrent spontaneous abortion],” Zhonghua Nan ke Xue, vol. 23, no. 10, pp. 867–872, 2017.
View at: Google Scholar
X. Feng, J. Liu, Y. Wang et al., “Acrocentric chromosome polymorphic variants on Chinese female have possible association with unexplained recurrent pregnancy loss,” Reproductive Sciences, vol. 28, no. 2, pp. 575–584, 2021.
View at: Publisher Site | Google Scholar
X. Yang, E. Yang, W. J. Wang et al., “Decreased HLA-C1 alleles in couples of KIR2DL2 positive women with recurrent pregnancy loss,” Journal of Reproductive Immunology, vol. 142, Article ID 103186, 2020.
View at: Publisher Site | Google Scholar
S. Barbaux, O. Poirier, T. Godefroy et al., “Differential haplotypic expression of the interleukin-18 gene,” European Journal of Human Genetics, vol. 15, no. 8, pp. 856–863, 2007 Aug.
View at: Publisher Site | Google Scholar
L. A. Hefler, C. B. Tempfer, M. T. Bashford et al., “Polymorphisms of the angiotensinogen gene, the endothelial nitric oxide synthase gene, and the interleukin-1beta gene promoter in women with idiopathic recurrent miscarriage,” Molecular Human Reproduction, vol. 8, no. 1, pp. 95–100, 2002.
View at: Publisher Site | Google Scholar
J. O. Kim, W. S. Lee, B. E. Lee et al., “Interleukin-1beta -511T>C genetic variant contributes to recurrent pregnancy loss risk and peripheral natural killer cell proportion,” Fertility and Sterility, vol. 102, no. 1, pp. 206–212.e5, 2014.
View at: Publisher Site | Google Scholar
G. Galazios, D. Papazoglou, K. Giagloglou, G. Vassaras, E. Maltezos, and P. Anastasiadis, “Interleukin-6 levels in umbilical artery serum in normal and abnormal pregnancies,” International Journal of Gynecology and Obstetrics, vol. 78, no. 2, Article ID 12175716, pp. 147–151, 2002.
View at: Publisher Site | Google Scholar
S. K. Lee, B. J. Na, J. Y. Kim et al., “Determination of clinical cellular immune markers in women with recurrent pregnancy loss,” American Journal of Reproductive Immunology, vol. 70, no. 5, pp. 398–411, 2013.
View at: Publisher Site | Google Scholar
R. Wilson, C. Jenkins, H. Miller et al., “Abnormal cytokine levels in non-pregnant women with a history of recurrent miscarriage,” European Journal of Obstetrics and Gynecology and Reproductive Biology, vol. 115, no. 1, pp. 51–54, 2004.
View at: Publisher Site | Google Scholar
A. Erlebacher, “Immunology of the maternal-fetal interface,” Annual Review of Immunology, vol. 31, no. 1, pp. 387–411, 2013.
View at: Publisher Site | Google Scholar
M. Zhang, J. Xu, X. Bao et al., “Association between genetic polymorphisms in interleukin genes and recurrent pregnancy loss - a systematic review and meta-analysis,” PLoS One, vol. 12, no. 1, Article ID e0169891, 2017.
View at: Publisher Site | Google Scholar
S. M. Quenby and R. G. Farquharson, “Predicting recurring miscarriage: what is important?” Obstetrics and Gynecology, vol. 82, no. 1, pp. 132–138, 1993.
View at: Google Scholar
B. T. Zhu, G.-Z. Han, J. Y. Shim, Y. Wen, and X.-R. Jiang, “Quantitative structure-activity relationship of various endogenous estrogen metabolites for human estrogen receptor α and β subtypes: insights into the structural determinants favoring a differential subtype binding,” Endocrinology, vol. 147, no. 9, pp. 4132–4150, 2006.
View at: Publisher Site | Google Scholar
D. Tang, J. Bao, G. Bai, M. Hao, R. Jin, and F. Liu, “The AGT haplotype of the ESR2 gene containing the polymorphisms rs2077647A, rs4986938G, and rs1256049T increases the susceptibility of unexplained recurrent spontaneous abortion in women in the Chinese Hui population,” Medical Science Monitor, vol. 26, Article ID e921102, 2020.
View at: Publisher Site | Google Scholar
W. Bahia, I. Soltani, A. Haddad et al., “Association of genetic variants in Estrogen receptor (ESR)1 and ESR2 with susceptibility to recurrent pregnancy loss in Tunisian women: a case control study,” Gene, vol. 736, Article ID 144406, 2020.
View at: Publisher Site | Google Scholar
A. Gerhardt, R. E. Scharf, B. Mikat-Drozdzynski, J. S. Krüssel, H. G. Bender, and R. B. Zotz, “Maternal IVS1-401 T allele of the estrogen receptor alpha is an independent predictor of late fetal loss,” Fertility and Sterility, vol. 86, no. 2, pp. 448–453, 2006.
View at: Publisher Site | Google Scholar
B. Pineda, C. Hermenegildo, J. J. Tarín, P. Laporta, A. Cano, and M. A. García-Pérez, “Alleles and haplotypes of the estrogen receptor alpha gene are associated with an increased risk of spontaneous abortion,” Fertility and Sterility, vol. 93, no. 6, pp. 1809–1815, 2010.
View at: Publisher Site | Google Scholar
A. Morandi Aléssio, L. H. Siqueira, E. C. Couto de Carvalho et al., “Estrogen receptor alpha and beta gene polymorphisms are not risk factors for recurrent miscarriage in a Brazilian population,” Clinical and Applied Thrombosis, vol. 14, no. 2, pp. 180–185, 2008.
View at: Publisher Site | Google Scholar
C. W. Hanna, K. L. Bretherick, C. C. Liu, M. D. Stephenson, and W. P. Robinson, “Genetic variation within the hypothalamus-pituitary-ovarian axis in women with recurrent miscarriage,” Human Reproduction, vol. 25, no. 10, pp. 2664–2671, 2010.
View at: Publisher Site | Google Scholar
M. Mahdavipour, F. Idali, S. Zarei et al., “Investigation on estrogen receptor alpha gene polymorphisms in Iranian women with recurrent pregnancy loss,” Iranian Journal of Reproductive Medicine, vol. 12, no. 6, pp. 395–400, 2014.
View at: Google Scholar
H. Pan, P. Suo, C. Liu et al., “The ESR1 gene in unexplained recurrent spontaneous abortion,” Systems Biology in Reproductive Medicine, vol. 60, no. 3, pp. 161–164, 2014.
View at: Publisher Site | Google Scholar
S. Cupisti, P. A. Fasching, A. B. Ekici et al., “Polymorphisms in estrogen metabolism and estrogen pathway genes and the risk of miscarriage,” Archives of Gynecology and Obstetrics, vol. 280, no. 3, pp. 395–400, 2009.
View at: Publisher Site | Google Scholar
A. Page-McCaw, A. J. Ewald, and Z. Werb, “Matrix metalloproteinases and the regulation of tissue remodelling,” Nature Reviews Molecular Cell Biology, vol. 8, no. 3, pp. 221–233, 2007.
View at: Publisher Site | Google Scholar
Y. Yan, L. Fang, Y. Li et al., “Association of MMP2 and MMP9 gene polymorphisms with the recurrent spontaneous abortion: a meta-analysis,” Gene, vol. 767, Article ID 145173, 2021.
View at: Publisher Site | Google Scholar
Y. Chen and J. Hu, “ATP6V1G3 acts as a key gene in recurrent spontaneous abortion: an integrated bioinformatics analysis,” Medical Science Monitor, vol. 26, Article ID e927537, 2020.
View at: Publisher Site | Google Scholar
T. Peter Stein, T. O. Scholl, M. D. Schluter et al., “Oxidative stress early in pregnancy and pregnancy outcome,” Free Radical Research, vol. 42, no. 10, pp. 841–848, 2008.
View at: Publisher Site | Google Scholar
I. Torres-Cuevas, A. Parra-Llorca, A. Sánchez-Illana et al., “Oxygen and oxidative stress in the perinatal period,” Redox Biology, vol. 12, pp. 674–681, 2017.
View at: Publisher Site | Google Scholar
F. Parveen, R. M. Faridi, V. Das, G. Tripathi, and S. Agrawal, “Genetic association of phase I and phase II detoxification genes with recurrent miscarriages among North Indian women,” Molecular Human Reproduction, vol. 16, no. 3, pp. 207–214, 2010.
View at: Publisher Site | Google Scholar
T. Nonaka, K. Takakuwa, and K. Tanaka, “Analysis of the polymorphisms of genes coding biotransformation enzymes in recurrent miscarriage in the Japanese population,” Journal of Obstetrics and Gynaecology Research, vol. 37, no. 10, pp. 1352–1358, 2011.
View at: Publisher Site | Google Scholar
F. Sata, H. Yamada, T. Kondo et al., “Glutathione S-transferase M1 and T1 polymorphisms and the risk of recurrent pregnancy loss,” Molecular Human Reproduction, vol. 9, no. 3, pp. 165–169, 2003.
View at: Publisher Site | Google Scholar
V. Suryanarayana, M. Deenadayal, and L. Singh, “Association of CYP1A1 gene polymorphism with recurrent pregnancy loss in the South Indian population,” Human Reproduction, vol. 19, no. 11, pp. 2648–2652, 2004.
View at: Publisher Site | Google Scholar
P. L. Zusterzeel, W. L. Nelen, H. M. Roelofs, W. H. Peters, H. J. Blom, and E. A. Steegers, “Polymorphisms in biotransformation enzymes and the risk for recurrent early pregnancy loss,” MHR: Basic science of reproductive medicine, vol. 6, no. 5, pp. 474–478, 2000.
View at: Publisher Site | Google Scholar
R. Polimanti, S. Piacentini, N. Lazzarin et al., “Glutathione S-transferase genes and the risk of recurrent miscarriage in Italian women,” Fertility and Sterility, vol. 98, no. 2, pp. 396–400, 2012.
View at: Publisher Site | Google Scholar
C. Zong, Y. Sha, H. Xiang et al., “Glutathione S-transferase A1 polymorphism and the risk of recurrent spontaneous abortion in Chinese Han population,” Journal of Assisted Reproduction and Genetics, vol. 31, no. 3, pp. 379–382, 2014.
View at: Publisher Site | Google Scholar
C. N. Jayasena, U. K. Radia, M. Figueiredo et al., “Reduced testicular steroidogenesis and increased semen oxidative stress in male partners as novel markers of recurrent miscarriage,” Clinical Chemistry, vol. 65, no. 1, pp. 161–169, 2019.
View at: Publisher Site | Google Scholar
M. J. Boden and D. J. Kennaway, “Circadian rhythms and reproduction,” Reproduction, vol. 132, no. 3, pp. 379–392, 2006.
View at: Publisher Site | Google Scholar
S. Sukumaran, R. R. Almon, D. C. DuBois, and W. J. Jusko, “Circadian rhythms in gene expression: relationship to physiology, disease, drug disposition and drug action,” Advanced Drug Delivery Reviews, vol. 62, no. 9-10, pp. 904–917, 2010.
View at: Publisher Site | Google Scholar
K. C. Summa, M. H. Vitaterna, and F. W. Turek, “Environmental perturbation of the circadian clock disrupts pregnancy in the mouse,” PLoS One, vol. 7, no. 5, Article ID e37668, 2012.
View at: Publisher Site | Google Scholar
K. L. Gamble, D. Resuehr, and C. H. Johnson, “Shift work and circadian dysregulation of reproduction,” Frontiers in Endocrinology, vol. 4, p. 92, 2013.
View at: Publisher Site | Google Scholar
A. Knutsson, “Health disorders of shift workers,” Occupational Medicine, vol. 53, no. 2, pp. 103–108, 2003.
View at: Publisher Site | Google Scholar
L. Kovanen, S. T. Saarikoski, A. Aromaa, J. Lönnqvist, and T. Partonen, “ARNTL (BMAL1) and NPAS2 gene variants contribute to fertility and seasonality,” PLoS One, vol. 5, no. 4, Article ID e10007, 2010.
View at: Publisher Site | Google Scholar
C. Qiu, B. Gelaye, M. Denis et al., “Placental genetic variations in circadian clock-related genes increase the risk of placental abruption,” Int J Mol Epidemiol Genet, vol. 7, no. 1, pp. 32–40, 2016.
View at: Google Scholar
R. Li, S. Cheng, and Z. Wang, “Circadian clock gene plays a key role on ovarian cycle and spontaneous abortion,” Cellular Physiology and Biochemistry, vol. 37, no. 3, pp. 911–920, 2015.
View at: Publisher Site | Google Scholar
A. Hodžić, P. Lavtar, M. Ristanović, I. Novaković, J. Dotlić, and B. Peterlin, “Genetic variation in the CLOCK gene is associated with idiopathic recurrent spontaneous abortion,” PLoS One, vol. 13, no. 5, Article ID e0196345, 2018.
View at: Publisher Site | Google Scholar
J. H. Kim, H. S. Park, J. Y. Lee et al., “Association study between mucin 4 (MUC4) polymorphisms and idiopathic recurrent pregnancy loss in a Korean population,” Genes, vol. 13, no. 6, p. 937, 2022.
View at: Publisher Site | Google Scholar
I. Koscinski, S. Viville, N. Porchet et al., “MUC4 gene polymorphism and expression in women with implantation failure,” Human Reproduction, vol. 21, no. 9, pp. 2238–2245, 2006.
View at: Publisher Site | Google Scholar
R. Rai and L. Regan, “Recurrent miscarriage,” The Lancet, vol. 368, no. 9535, pp. 601–611, 2006.
View at: Publisher Site | Google Scholar
G. M. Eggenhuizen, A. Go, M. P. H. Koster, E. B. Baart, and R. J. Galjaard, “Confined placental mosaicism and the association with pregnancy outcome and fetal growth: a review of the literature,” Human Reproduction Update, vol. 27, no. 5, pp. 885–903, 2021.
View at: Publisher Site | Google Scholar
S. A. Yatsenko, C. Quesada-Candela, D. N. Saller et al., “Cytogenetic signatures of recurrent pregnancy losses,” Prenatal Diagnosis, vol. 41, no. 1, pp. 70–78, 2021.
View at: Publisher Site | Google Scholar
S. H. Saravelos and T. C. Li, “Unexplained recurrent miscarriage: how can we explain it?” Human Reproduction, vol. 27, no. 7, pp. 1882–1886, 2012.
View at: Publisher Site | Google Scholar
J. R. Gruhn, A. P. Zielinska, V. Shukla et al., “Chromosome errors in human eggs shape natural fertility over reproductive life span,” Science, vol. 365, no. 6460, pp. 1466–1469, 2019.
View at: Publisher Site | Google Scholar
A. Capalbo, E. R. Hoffmann, D. Cimadomo, F. Maria Ubaldi, and L. Rienzi, “Human female meiosis revised: new insights into the mechanisms of chromosome segregation and aneuploidies from advanced genomics and time-lapse imaging,” Human Reproduction Update, vol. 23, no. 6, pp. 706–722, 2017.
View at: Publisher Site | Google Scholar
A. M. Klimczak, D. P. Patel, J. M. Hotaling, and R. T. Scott Jr, “Role of the sperm, oocyte, and embryo in recurrent pregnancy loss,” Fertility and Sterility, vol. 115, no. 3, pp. 533–537, 2021.
View at: Publisher Site | Google Scholar
M. D. Stephenson and S. Sierra, “Reproductive outcomes in recurrent pregnancy loss associated with a parental carrier of a structural chromosome rearrangement,” Human Reproduction, vol. 21, no. 4, pp. 1076–1082, 2006.
View at: Publisher Site | Google Scholar
F. Popescu, C. R. Jaslow, and W. H. Kutteh, “Recurrent pregnancy loss evaluation combined with 24-chromosome microarray of miscarriage tissue provides a probable or definite cause of pregnancy loss in over 90% of patients,” Human Reproduction, vol. 33, no. 4, pp. 579–587, 2018.
View at: Publisher Site | Google Scholar
M. Sugiura-Ogasawara, K. Aoki, T. Fujii et al., “Subsequent pregnancy outcomes in recurrent miscarriage patients with a paternal or maternal carrier of a structural chromosome rearrangement,” Journal of Human Genetics, vol. 53, no. 7, pp. 622–628, 2008.
View at: Publisher Site | Google Scholar
M. Braekeleer and T. N. Dao, “Cytogenetic studies in couples experiencing repeated pregnancy losses,” Human Reproduction, vol. 5, no. 5, pp. 519–528, 1990.
View at: Publisher Site | Google Scholar
R. Ramasamy, J. M. Scovell, J. R. Kovac, P. J. Cook, D. J. Lamb, and L. I. Lipshultz, “Fluorescence in situ hybridization detects increased sperm aneuploidy in men with recurrent pregnancy loss,” Fertility and Sterility, vol. 103, no. 4, pp. 906–909.e1, 2015.
View at: Publisher Site | Google Scholar
H. Elghezal, S. Hidar, R. Braham, W. Denguezli, M. Ajina, and A. Saâd, “Chromosome abnormalities in one thousand infertile males with nonobstructive sperm disorders,” Fertility and Sterility, vol. 86, no. 6, pp. 1792–1795, 2006.
View at: Publisher Site | Google Scholar
S. Li, M. Chen, and P. S. Zheng, “Analysis of parental abnormal chromosomal karyotype and subsequent live births in Chinese couples with recurrent pregnancy loss,” Scientific Reports, vol. 11, no. 1, Article ID 20298, 2021.
View at: Publisher Site | Google Scholar
A. Verdoni, J. Hu, U. Surti et al., “Reproductive outcomes in individuals with chromosomal reciprocal translocations,” Genetics in Medicine, vol. 23, no. 9, pp. 1753–1760, 2021.
View at: Publisher Site | Google Scholar
Y. Hong, Y. W. Zhou, J. Tao, S. X. Wang, and X. M. Zhao, “Do polymorphic variants of chromosomes affect the outcome of in vitro fertilization and embryo transfer treatment?” Human Reproduction, vol. 26, no. 4, pp. 933–940, 2011.
View at: Publisher Site | Google Scholar
S. Y. Jeong, B. Y. Kim, and J. E. Yu, “De novo pericentric inversion of chromosome 9 in congenital anomaly,” Yonsei Medical Journal, vol. 51, no. 5, pp. 775–780, 2010.
View at: Publisher Site | Google Scholar
A. Amiel, F. Sardos-Albertini, M. D. Fejgin, R. Sharony, R. Diukman, and B. Bartoov, “Interchromosomal effect leading to an increase in aneuploidy in sperm nuclei in a man heterozygous for pericentric inversion (inv 9) and C-heterochromatin,” Journal of Human Genetics, vol. 46, no. 5, pp. 245–250, 2001.
View at: Publisher Site | Google Scholar
I. M. van den Berg, J. S. Laven, M. Stevens et al., “X chromosome inactivation is initiated in human preimplantation embryos,” The American Journal of Human Genetics, vol. 84, no. 6, pp. 771–779, 2009.
View at: Publisher Site | Google Scholar
Y. Sui, Q. Chen, and X. Sun, “Association of skewed X chromosome inactivation and idiopathic recurrent spontaneous abortion: a systematic review and meta-analysis,” Reproductive BioMedicine Online, vol. 31, no. 2, pp. 140–148, 2015.
View at: Publisher Site | Google Scholar
C. L. Miranda-Furtado, H. R. Luchiari, D. C. Chielli Pedroso et al., “Skewed X-chromosome inactivation and shorter telomeres associate with idiopathic premature ovarian insufficiency,” Fertility and Sterility, vol. 110, no. 3, Article ID 30098699, pp. 476–485.e1, 2018.
View at: Publisher Site | Google Scholar
A. Sharp, D. Robinson, and P. Jacobs, “Age- and tissue-specific variation of X chromosome inactivation ratios in normal women,” Human Genetics, vol. 107, no. 4, pp. 343–349, 2000.
View at: Publisher Site | Google Scholar
M. C. Lanasa, W. A. Hogge, C. J. Kubik et al., “A novel X chromosome-linked genetic cause of recurrent spontaneous abortion,” American Journal of Obstetrics and Gynecology, vol. 185, no. 3, pp. 563–568, 2001.
View at: Publisher Site | Google Scholar
M. Królik, M. Wrześniak, and A. Jezela-Stanek, “Possible effect of the HLA-DQ2/DQ8 polymorphism on autoimmune parameters and lymphocyte subpopulation in recurrent pregnancy losses,” Journal of Reproductive Immunology, vol. 149, Article ID 103467, 2022.
View at: Publisher Site | Google Scholar
S. F. A. Grant and H. Hakonarson, “Microarray technology and applications in the arena of genome-wide association,” Clinical Chemistry, vol. 54, no. 7, pp. 1116–1124, 2008.
View at: Publisher Site | Google Scholar
A. Šípek Jr, R. Mihalová, A. Panczak et al., “Heterochromatin variants in human karyotypes: a possible association with reproductive failure,” Reproductive BioMedicine Online, vol. 29, no. 2, pp. 245–250, 2014.
View at: Publisher Site | Google Scholar
J. W. Kim, S. Y. Park, Y. M. Kim, J. M. Kim, J. Y. Han, and H. M. Ryu, “X-chromosome inactivation patterns in Korean women with idiopathic recurrent spontaneous abortion,” Journal of Korean Medical Science, vol. 19, no. 2, pp. 258–262, 2004.
View at: Publisher Site | Google Scholar
R. Carroll, R. Kumar, M. Shaw et al., “Variant in the X-chromosome spliceosomal gene GPKOW causes male-lethal microcephaly with intrauterine growth restriction,” European Journal of Human Genetics, vol. 25, no. 9, pp. 1078–1082, 2017.
View at: Publisher Site | Google Scholar

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Copyright © 2023 Qinlan Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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