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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Genet.</journal-id>
<journal-title>Frontiers in Genetics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Genet.</abbrev-journal-title>
<issn pub-type="epub">1664-8021</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">746082</article-id>
<article-id pub-id-type="doi">10.3389/fgene.2021.746082</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Genetics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Exome-Sequencing Identifies Novel Genes Associated with Recurrent Pregnancy Loss in a Chinese Cohort</article-title>
<alt-title alt-title-type="left-running-head">Xiang et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Novel Genes Associated with RPL</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Xiang</surname>
<given-names>Huifen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="FN1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Chunyan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="fn" rid="FN1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pan</surname>
<given-names>Hong</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hu</surname>
<given-names>Qian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Ruyi</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Zuying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Tengyan</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Su</surname>
<given-names>Yezhou</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ma</surname>
<given-names>Xu</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Cao</surname>
<given-names>Yunxia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1117921/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Binbin</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/437456/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>Reproductive Medicine Center, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, <addr-line>Hefei</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), <addr-line>Hefei</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>Graduate School of Peking Union Medical College &#x26; Chinese Academy of Medical Sciences, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<label>
<sup>4</sup>
</label>Center for Genetics, National Research Institute for Family Planning, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1221022/overview">Melita Irving</ext-link>, Guy&#x2019;s and St Thomas&#x2019; NHS Foundation Trust, United&#x20;Kingdom</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1454098/overview">Gayatri Mohanty</ext-link>, University of Massachusetts Amherst, United&#x20;States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/87778/overview">Peining Li</ext-link>,Yale University, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Binbin Wang, <email>wbbahu@163.com</email>; Xu Ma, <email>genetic88@126.com</email>; Yunxia Cao, <email>caoyunxia6@126.com</email>
</corresp>
<fn fn-type="equal" id="FN1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work and share first authorship</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Genetics of Common and Rare Diseases, a section of the journal Frontiers in Genetics</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>746082</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Xiang, Wang, Pan, Hu, Wang, Xu, Li, Su, Ma, Cao and Wang.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Xiang, Wang, Pan, Hu, Wang, Xu, Li, Su, Ma, Cao and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>Recurrent pregnancy loss (RPL) is a common reproductive problem affecting around 5% of couples worldwide. At present, about half of RPL cases remained unexplained. Previous studies have suggested an important role for genetic determinants in the etiology of RPL. Here, we performed whole-exome sequencing (WES) analysis on 100 unrelated Han Chinese women with a history of two or more spontaneous abortions. We identified 6736 rare deleterious nonsynonymous variants across all patients. To focus on possible candidate genes, we generated a list of 95 highly relevant genes that were functionally associated with miscarriage according to human and mouse model studies, and found 35 heterozygous variants of 28&#x20;RPL-associated genes in 32 patients. Four genes (<italic>FOXA2, FGA</italic>, <italic>F13A1</italic>, and <italic>KHDC3L</italic>) were identified as being strong candidates. The <italic>FOXA2</italic> nonsense variant was for the first time reported here in women with RPL. FOXA2 knockdown in HEK-293T cells significantly diminished the mRNA and protein expression levels of LIF, a pivotal factor for maternal receptivity and blastocyst implantation. The other genes, with 29 variants, were involved in angiogenesis, the immune response and inflammation, cell growth and proliferation, which are functionally important processes for implantation and pregnancy. Our study identified several potential causal genetic variants in women with RPL by WES, highlighting the important role of genes controlling coagulation, confirming the pathogenic role of <italic>KHDC3L</italic> and identifying <italic>FOXA2</italic> as a newly identified causal gene in women with&#x20;RPL.</p>
</abstract>
<kwd-group>
<kwd>recurrent pregnancy loss</kwd>
<kwd>whole-exome sequencing</kwd>
<kwd>coagulation</kwd>
<kwd>FOXA2</kwd>
<kwd>KHDC3L</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Recurrent pregnancy loss (RPL), defined as two or more clinical pregnancy losses before 20&#x20;weeks of gestation, is a serious and complicated reproductive outcome (<xref ref-type="bibr" rid="B33">Practice Committee of the American Society for Reproductive Medicine 2020</xref>). It is estimated that &#x3c;5% of women of reproductive age have experienced two spontaneous miscarriages and about 1% suffer three or more (<xref ref-type="bibr" rid="B34">Practice Committee of the American Society for Reproductive 2012</xref>). Although previous studies have revealed some causes of RPL, including parental and embryonic chromosomal abnormalities, endocrine disorders, uterine malformations and immunological disorders, the causes remain unexplained or are poorly understood in approximately half of the cases (<xref ref-type="bibr" rid="B34">Practice Committee of the American Society for Reproductive 2012</xref>; <xref ref-type="bibr" rid="B45">Saravelos and Regan 2014</xref>; <xref ref-type="bibr" rid="B11">El Hachem et&#x20;al., 2017</xref>). In recent decades, several studies have suggested that genetic factors might play an important role in RPL (<xref ref-type="bibr" rid="B28">Page and Silver 2016</xref>; <xref ref-type="bibr" rid="B31">Pereza et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B2">Arias-Sosa et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B38">Quintero-Ronderos and Laissue 2019</xref>).</p>
<p>Previous variant screening and gene-association studies adopting a candidate gene strategy tried to unveil the genetic etiology of RPL and have identified numbers of potential causative genes and risk loci (<xref ref-type="bibr" rid="B38">Quintero-Ronderos and Laissue 2019</xref>). Deleterious variants of THBD, FOXD1, C4BP1, C3, WNT6, and KHDC3L have been detected in cases of RPL (<xref ref-type="bibr" rid="B26">Mohlin et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B56">Zhang et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B40">Quintero-Ronderos et&#x20;al., 2017b</xref>; <xref ref-type="bibr" rid="B25">Mohlin et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B37">Quintero-Ronderos et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B55">Zhang et&#x20;al., 2019</xref>), while polymorphisms of the genes encoding factor V Leiden (<italic>FVL</italic>), factor II (<italic>F2</italic>) and methylenetetrahydrofolate reductase (<italic>MTHFR</italic>), and others were found to increase the risk of RPL (<xref ref-type="bibr" rid="B46">Sergi et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B54">Yang et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B31">Pereza et&#x20;al., 2017</xref>). Genome-wide association studies (GWAS), involving an unbiased genome-wide approach for identifying genetic determinants, have also been applied to identify risk loci for RPL (<xref ref-type="bibr" rid="B23">Li et&#x20;al., 2010</xref>; <xref ref-type="bibr" rid="B21">Kolte et&#x20;al., 2011</xref>). However, searching for candidate genes might have limited value in identifying the causative factors, considering that RPL is a highly genetically heterogeneous condition, whereas the loci identified by GWAS can only explain a very small proportion of the&#x20;risk.</p>
<p>Whole exome sequencing (WES), a high-throughput technology, has now been exploited to identify causative genes and variants involved with RPL (<xref ref-type="bibr" rid="B43">Robbins et&#x20;al., 2019</xref>). Pan e<italic>t al.</italic> (<xref ref-type="bibr" rid="B29">Pan et&#x20;al., 2019</xref>) reported a consanguineous Chinese family with three women experiencing unexplained RPL and identified a rare homozygous frameshift variant of <italic>CAPS</italic> in all of them using WES. Exome sequencing in unrelated samples or single cases have also identified candidate maternal-effect genes, including PIF1, CCDC68, PLK1, MMP10, FLT1, PADI6, and FKBP4 (<xref ref-type="bibr" rid="B39">Quintero-Ronderos et&#x20;al., 2017a</xref>; <xref ref-type="bibr" rid="B35">Qian et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B9">Demetriou et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B24">Maddirevula et&#x20;al., 2020</xref>). In addition, several genes associated with fetal lethality (DYNC2H1, ALOX15, FOXP3, and CHRNA1) were identified by exome sequencing in tissues from miscarriages (<xref ref-type="bibr" rid="B47">Shamseldin et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B36">Qiao et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B41">Reichert et&#x20;al., 2016</xref>). These findings have helped understanding the genetic causes of RPL. However, the genetic roles of some maternal-effect genes in women with RPL need validation and replication in more samples, and any biological relevance to RPL needs further explanation. Furthermore, most of these studies were performed in European ethnic groups and few were in East Asian ethnic groups, especially Chinese populations.</p>
<p>Here, we performed WES on a Han Chinese cohort of 100 unrelated women with RPL. We particularly tried to identify deleterious variants in a subset of 95 genes that are known as candidates causing RPL in human studies or are related to the phenotype of pregnancy loss in mouse models. Overall, we found six rare variants in four strong candidate genes (<italic>KHDC3L</italic>, <italic>FGA</italic>, <italic>F13A1</italic>, and <italic>FOXA2</italic>) and an additional 29 variants in 24 candidate genes. We document several newly identified candidate genes and also replicated the genetic roles of some genes identified in previous studies, thus providing more biomarkers for&#x20;RPL.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Study Subjects</title>
<p>One hundred unrelated Han Chinese women with a history of RPL were recruited from the Center for Reproductive Medicine at The First Affiliated Hospital of Anhui Medical University, Anhui, P. R. China. The mean age at diagnosis was 28.2&#xa0;years (range 21&#x2013;41). RPL was defined as a history of at least two spontaneous abortions prior to the 20<sup>th</sup> week of gestation according to the criteria of the American Society for Reproductive Medicine (<xref ref-type="bibr" rid="B34">Practice Committee of the American Society for Reproductive 2012</xref>). Patients with abnormal karyotypes, autoimmune disorders, endocrine disorders, uterine malformations or malignancies were excluded. All patients donated peripheral blood samples for the extraction of genomic DNA. The study was approved by the Ethics Committee of the National Research Institute for Family Planning, Beijing, P. R. China. Written informed consent was obtained from all subjects.</p>
</sec>
<sec id="s2-2">
<title>Whole-Exome Sequencing and Bioinformatics Analysis</title>
<p>The exomes of all participants were captured by Agilent SureSelect Human All Exon V6 Enrichment kits (Agilent, Santa Clara, CA, United&#x20;States ) and then sequenced on a NovaSeq platform (Illumina, San Diego, CA, United&#x20;States ) according to the manufacturer&#x2019;s guide. All reads were mapped to the human reference genome (hg19) using Burrows&#x2013;Wheeler Alignment version 0.7.9a (<ext-link ext-link-type="uri" xlink:href="http://bio-bwa.sourceforge.net">http://bio-bwa.sourceforge.net</ext-link>). Single nucleotide variants (SNVs) and indels were detected using the Genome Analysis Toolkit version 3.5 (<ext-link ext-link-type="uri" xlink:href="https://gatk.broadinstitute.org/hc/en-us">https://gatk.broadinstitute.org/hc/en-us</ext-link>), and then annotated by ANNOVAR (<ext-link ext-link-type="uri" xlink:href="https://annovar.openbioinformatics.org/en/latest/user-guide/download/">https://annovar.openbioinformatics.org/en/latest/user-guide/download/</ext-link>).</p>
<p>All variants were filtered according to the following criteria: i) missense, nonsense, frameshift, non-frameshift or splicing site variants; ii) variant frequency &#x3c;0.1% in total and East Asian populations of the gnomAD v2.1.1 database (<ext-link ext-link-type="uri" xlink:href="http://gnomad.broadinstitute.org">http://gnomad.broadinstitute.org</ext-link>). iii) All the missense variants were predicted to be deleterious by Sorting Intolerant From Tolerant software (SIFT; <ext-link ext-link-type="uri" xlink:href="http://sift-dna.org/">http://sift-dna.org</ext-link>), PolyPhen-2 (<ext-link ext-link-type="uri" xlink:href="http://genetics.bwh.harvard.edu/pph2/">http://genetics.bwh.harvard.edu/pph2/</ext-link>) and Mutation Taster (<ext-link ext-link-type="uri" xlink:href="http://www.mutationtaster.org">http://www.mutationtaster.org</ext-link>); and iv) non-frameshift variants that should reside in conserved sites among eutherian mammals (see <xref ref-type="sec" rid="s11">Supplemental Figure S1</xref>). Furthermore, the remaining variants were classified according to the American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) guidelines as pathogenic, likely pathogenic, with uncertain significance.</p>
<p>Next, we divided the 100 patients into two groups according to the severity of their miscarriage phenotype: two and more than two. We counted the numbers of the mutations following the above criteria identified in each&#x20;group.</p>
</sec>
<sec id="s2-3">
<title>RPL-Associated Gene Set Analysis and Variant Validation</title>
<p>To narrow down the subset of candidate genes, we generated an RPL-associated gene set comprising genes that were related to this phenotype from previous human and animal studies. Human studies reporting candidate genes by WES or Sanger sequencing were searched in PubMed (<ext-link ext-link-type="uri" xlink:href="https://pubmed.ncbi.nlm.nih.gov/">https://pubmed.ncbi.nlm.nih.gov</ext-link>), prior to April 30&#x20;2020, using the following terms: (recurrent pregnancy loss OR recurrent spontaneous abortion OR recurrent miscarriage OR habitual abortion) AND (mutation OR variant OR exome sequencing). Genes showing miscarriage-associated phenotypes in gene knockout or mutated mouse models were searched in the Mouse Genome Informatics (MGI) databases (<ext-link ext-link-type="uri" xlink:href="http://www.informatics.jax.org/">http://www.informatics.jax.org</ext-link>) under the following phenotype terms: abnormal embryo attachment; failure of embryo implantation; impaired embryo implantation; abnormal miscarriage rate; abnormal decidualization; abnormal postimplantation uterine environment; endometrial inflammation; abnormal uterine receptivity; uterine inflammation; abnormal uterine environment; and uterine hemorrhage. Fetal lethality genes were excluded, and only maternal-effect genes were retained. Finally, 95 genes were included in the RPL-associated gene set (<xref ref-type="sec" rid="s11">Supplemental Table S1</xref>). The presence of potential causal variants of RPL-associated genes was validated by Sanger sequencing using the primers listed in <xref ref-type="sec" rid="s11">Supplemental Table S2</xref>. Next, we also counted the numbers of variants identified in each group. The statistical significance of the relationship of the number of variants in the patients and the number of miscarriages was evaluated using Chi squared tests and a <italic>p</italic> value &#x3c; 0.05 was considered statistically significant.</p>
</sec>
<sec id="s2-4">
<title>Cell Culture</title>
<p>Human embryonic kidney (HEK)-293T&#x20;cells were cultivated in Dulbecco&#x2019;s modified Eagle&#x2019;s medium supplemented with 10% fetal bovine serum, 100&#xa0;mg/&#xa0;ml penicillin and 100&#xa0;mg/&#xa0;ml streptomycin and maintained in 5% CO<sub>2</sub> in humidified air at 37&#xb0;C.</p>
</sec>
<sec id="s2-5">
<title>RNA Interfering and Target siRNA Screening</title>
<p>The siRNA set for FOXA2, including three pairs of siRNA-FOXA2, a positive control, a negative control (NC), and fluorescein amidite FAM-labeled NC, was purchased from Genepharma (Shanghai, P. R. China). For transient transfection, cells were seeded into 6-well plates (1&#xd7;10<sup>6</sup> cells/well) and were transfected with Lipofectamine&#x2122; 2000 transfection reagent (Invitrogen, Carlsbad, CA, United States ) according to the manufacturer&#x2019;s protocol. After being incubated for 24 and 48&#xa0;h cells were washed and harvested to test the mRNA and protein expression levels of <italic>FOXA2</italic>, respectively. Cells were seeded in 6-well plates and transfected with siFOXA2-375 and NC siRNA in the subsequent assays. The most effective FOXA2-siRNA: siFOXA2-375 duplexes were: forward 5&#x2032;&#x2013;CCA&#x200b;UGA&#x200b;ACA&#x200b;UGU&#x200b;CGU&#x200b;CGU&#x200b;ATT&#x2013;3&#x2032; and reverse 5&#x2032;&#x2013;UAC&#x200b;GAC&#x200b;GAC&#x200b;AUG&#x200b;UUC&#x200b;AUG&#x200b;GTT&#x2013;3&#x2032;.</p>
</sec>
<sec id="s2-6">
<title>Reverse Transcription-Quantitative Polymerase Chain Reaction</title>
<p>After transfection for 24&#xa0;h, cells were collected, and total RNA preparations were extracted using TRIzol reagent (Invitrogen). We used a NanoDrop2000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, United&#x20;States ) for assessment of RNA concentration and quality. Extracted RNA was reverse transcribed into complementary DNA with the P5X All-In-One MasterMix Kit (Abmgood, Vancouver, BC, Canada) according to the manufacturer&#x2019;s instructions. Levels of mRNAs of <italic>FOXA2</italic> were measured in samples using SYBR premix ex Taq Kit (Takara, Tokyo, Japan) in an ABI Step One Real-Time system (Applied Biosystems, Waltham, MA, United&#x20;States ). The relative expression of mRNA to that for &#x3b2;-actin was calculated using the 2<sup>&#x2212;&#x2206;&#x2206;Ct</sup> method. The primers used for RT&#x2013;qPCR are listed in <xref ref-type="sec" rid="s11">Supplementary Table&#x20;S4</xref>.</p>
</sec>
<sec id="s2-7">
<title>Western Blotting</title>
<p>After transfection for 48 h, total protein samples from cells were cleaved in RIPA lysis buffer (Applied Biosystems) and the protein concentration was determined using a bicinchoninic acid assay (Thermo Fisher Scientific, Waltham, MA, United&#x20;States ); then, an equal amount of protein from each sample was loaded, separated using 10% sodium dodecyl sulfate polyacrylamide gel electrophoresis (Epizyme, Shanghai, P. R. China) and transferred to polyvinylidene fluoride membranes (EMD Millipore Corp., Billerica, MD, United&#x20;States ). The membranes were blocked with 5% skim milk for 2&#xa0;h, then added to a diluted primary antibody and incubated overnight at 4&#xb0;C. And then with the second antibody, the membranes were incubated for 1.5&#xa0;h at room temperature. The signal was detected using electrochemiluminescence kits (Amersham Biosciences, Piscataway, NJ, United&#x20;States ). GAPDH was used as a reference.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Clinical Descriptions</title>
<p>One hundred unrelated Han Chinese women with a history of 2&#x2013;6 miscarriages were included in our study. Among them, 60, 30, and 10 patients had experienced 2, 3 and &#x2265;4 miscarriages, respectively. Analysis of the association between the number of miscarriage and increasing age group (28.05&#x20;&#xb1; 3.25&#xa0;years and 28.53&#x20;&#xb1; 2.85&#xa0;years, respectively) showed that there was no significantly difference in age between the two groups (<italic>p</italic>&#x20;&#x3d; 0.692). None of the patients have had a successful full-term pregnancy except for one who reported a livebirth. All patients had normal karyotypes.</p>
</sec>
<sec id="s3-2">
<title>Whole-Exome Sequencing Analysis</title>
<p>After frequency filtering (<xref ref-type="sec" rid="s11">Supplemental Table S3</xref>), a total of 117,620 nonsynonymous variants fulfilling the frequency criteria from 100&#x20;exome-sequenced patients were obtained and a mean of 1176&#x20;&#xb1; 142 variants per sample were kept for the following <italic>in silico</italic> evaluation. Of these rare variants, 4929 missense variants were predicted deleterious by all online programs (SIFT, PolyPhen2, Mutation Taster), 1161 variants (frameshift, nonsense, splicing site) might cause loss of function, and 646 were non-frameshift insertion/deletions. Thus, each patient had on average 67.4 rare, deleterious nonsynonymous variants and 11.6 potential loss-of-function variants. Furthermore, we divided the 100 patients into two groups according to the severity of their miscarriage phenotype: two miscarriages and more than two miscarriages, including 60 and 40 patients, respectively (<xref ref-type="fig" rid="F1">Figure&#x20;1A</xref>). Analysis of the distribution of these variants (4013 and 2723, respectively, <xref ref-type="fig" rid="F1">Figure&#x20;1B</xref>) showed that there was no significantly different distribution between the two groups (<italic>p</italic>&#x20;&#x3d; 0.532).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Correlation between miscarriage phenotype and variant accumulation. <bold>(A)</bold> The mean number of total deleterious variants in two groups with miscarriages and more than two miscarriages, respectively. <bold>(B)</bold> The mean number of deleterious variants of RPL-related genes in two groups with miscarriages and more than two miscarriages, respectively.</p>
</caption>
<graphic xlink:href="fgene-12-746082-g001.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>Identification of Potential Causal Variants in the RPL-Associated Gene Set</title>
<p>Among the large number of rare, deleterious nonsynonymous variants across exomes, we found 35 variants in 28 out of 95&#x20;RPL-associated genes, including 26 missense and three nonsense variants, one frameshift and five non-frameshift deletions. We prioritized six variants of four genes as potential causal variants in the light of previous human genetic studies and phenotypes in mouse models mimicking RPL (<xref ref-type="table" rid="T1">Table&#x20;1</xref>). The other 29 variants of 24 genes were considered as candidates for causing RPL because the knockout of these genes in mice resulted in miscarriage-associated phenotypes. Furthermore, analysis of the distribution of these 35 variants (20/60 and 15/40, respectively) showed that there was no significantly different distribution between the two groups (<italic>p</italic>&#x20;&#x3d; 0.707).<list list-type="simple">
<list-item>
<p>(i.) FOXA2<bold>
<italic>.</italic>
</bold> We identified a novel, heterozygous, nonsense variant in <italic>FOXA2</italic> (NM_021784.5: c.C1260G; p.Y420X, <xref ref-type="fig" rid="F2">Figure&#x20;2F</xref>) in a 24-year-old woman with a history of three spontaneous abortions, Heterozygous knockout mice for this gene had an abnormal miscarriage rate that mimicked the miscarriage phenotype in humans (<xref ref-type="bibr" rid="B52">Weinstein et&#x20;al., 1994</xref>). Therefore, <italic>FOXA2</italic> has been prioritized as a strong candidate gene associated with human&#x20;RPL.</p>
</list-item>
<list-item>
<p>(ii.) FGA. Two heterozygous <italic>FGA</italic> variants were identified in two women, each with three consecutive miscarriages. One variant (NM_000508.5: c.1906_1908del; p.636del, <xref ref-type="fig" rid="F2">Figure&#x20;2B</xref>) leading to the deletion of an amino acid was not found in public databases. The other variant in <italic>FGA</italic> (NM_000508.5: c.C2285T; p.A762V; <xref ref-type="fig" rid="F2">Figure&#x20;2C</xref>) causing an amino acid substitution was extremely rare in East Asian populations in the gnomAD database and was predicted to be deleterious by online programs. <italic>FGA</italic> encodes the alpha subunit of the coagulation factor fibrinogen. Mutations of <italic>FGA</italic> have been linked to coagulation pathologies including afibrinogenemia (OMIM:202400) and dysfibrinogenemia/hypodysfibrinogenemia (OMIM:616004), which can result in miscarriage (<xref ref-type="bibr" rid="B51">Valiton et&#x20;al., 2019</xref>).</p>
</list-item>
<list-item>
<p>(iii.) F13A1. We identified two variants in <italic>F13A1</italic>, another blood coagulation-associated gene, in two patients. One 28-year-old woman with a history of four miscarriages had an extremely rare nonsense variant (NM_000129.4: c.C1201T; p.Q401X, <xref ref-type="fig" rid="F2">Figure&#x20;2D</xref>) that resulted in a truncated protein. Another woman with a history of two miscarriages had a missense variant (NM_000129.4: c.C1834T; p.R612C, <xref ref-type="fig" rid="F2">Figure&#x20;2E</xref>) that was predicted <italic>in silico</italic> to be deleterious. Recessive variants of <italic>F13A1</italic> cause F13 deficiency, a rare but severe hemorrhagic disorder featured by bleeding, delayed wound healing and spontaneous abortion (<xref ref-type="bibr" rid="B19">Karimi et&#x20;al., 2009</xref>).</p>
</list-item>
<list-item>
<p>(iv.) KHDC3L. We identified a heterozygous in frame deletion in <italic>KHDC3L</italic> (NM_001017361.3: c.436_468del; p.146_156del; <xref ref-type="fig" rid="F2">Figure&#x20;2A</xref>) in a 31-year-old woman with a history of two miscarriages. Maternal bi-allelic variants of <italic>KHDC3L</italic> are known to cause recurrent hydatidiform mole, an aberrant human pregnancy featuring early embryonic arrest and excessive trophoblastic proliferation (<xref ref-type="bibr" rid="B27">Nguyen et&#x20;al., 2018</xref>), while heterozygous deletions (p.150_160del and p.150_172del) were found in patients experiencing RPL without forming an hydatidiform mole (<xref ref-type="bibr" rid="B55">Zhang et&#x20;al., 2019</xref>). All of the deletions in patients with RPL affected the Thr156 residue, a critical phosphorylation site for normal KHDC3L protein function.</p>
</list-item>
<list-item>
<p>(v.) Other candidate genes. In addition to the six variants of causal genes aforementioned, we identified 29 variants of 24 candidate genes from the RPL-associated gene set in 26 patients (<xref ref-type="table" rid="T2">Table&#x20;2</xref>). There were 24 missense and one nonsense variants, three non-frameshift and one frameshift deletions. The DNA chromatograms of these variants are shown in <xref ref-type="sec" rid="s11">Supplemental Figure S2</xref>. These genes are involved in several biological processes that could be relevant to maintaining a normal pregnancy, including angiogenesis, cell growth, immunity and inflammation response, and hormone signaling.</p>
</list-item>
</list>
</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Sanger sequencing of the variants in strong candidate genes. <bold>(A)</bold> KHDC3L c.436_468del: p.146_156del. <bold>(B)</bold> FGA c.1906_1908del: p.636_636del. <bold>(C)</bold> FGA c.C2285T:p.A762V. <bold>(D)</bold> F13A1 c.C1201T:p.Q401X. <bold>(E)</bold> F13A1 c.C1834T:p.R612C. <bold>(F)</bold> FOXA2 c.C1242G:p.Y414X.</p>
</caption>
<graphic xlink:href="fgene-12-746082-g002.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Potential causative variants in patients with recurrent pregnancy loss.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Patient ID</th>
<th align="center">Age, years</th>
<th align="center">No. of miscarriage</th>
<th align="left">Gene</th>
<th align="center">Variant</th>
<th align="center">Frequency<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
<th align="left">ACMG/AMP</th>
<th align="center">Relevance</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">53</td>
<td align="center">24</td>
<td align="center">3</td>
<td align="left">FOXA2</td>
<td align="left">NM_021784.5: c.C1260G; p.Y420X</td>
<td align="char" char="/">0/0</td>
<td align="left">LP</td>
<td align="left">Function: maintaining the develop of endometrial glands. MGI phenotype: abnormal miscarriage rate</td>
</tr>
<tr>
<td align="left">15</td>
<td align="center">31</td>
<td align="center">2</td>
<td align="left">KHDC3L</td>
<td align="left">NM_001017361.3: c.436_468del; p.146_156del</td>
<td align="char" char="/">0.000032/0.00027</td>
<td align="left">P</td>
<td align="left">Function: keeping genetic stability of early embryonic cells. Human disease: hydatidiform mole, RPL. MGI phenotype: reduced female fertility.</td>
</tr>
<tr>
<td align="left">4</td>
<td align="center">29</td>
<td align="center">3</td>
<td align="left">FGA</td>
<td align="left">NM_000508.5: c.1906_1908del; p.636del</td>
<td align="char" char="/">0/0</td>
<td align="left">US</td>
<td rowspan="2" align="left">Function: encoding alpha subunit of the coagulation factor fibrinogen. Human disease: afibrinogenemia, dysfibrinogenemia, hypodysfibrinogenemia. MGI phenotype: uterine hemorrhage, abnormal uterine environment, female infertility.</td>
</tr>
<tr>
<td align="left">83</td>
<td align="center">26</td>
<td align="center">3</td>
<td align="left">FGA</td>
<td align="left">NM_000508.5: c.C2285T; p.A762V</td>
<td align="char" char="/">0.00017/0.00005</td>
<td align="left">US</td>
</tr>
<tr>
<td align="left">6</td>
<td align="center">28</td>
<td align="center">4</td>
<td align="left">F13A1</td>
<td align="left">NM_000129.4: c.C1201T; p.Q401X</td>
<td align="char" char="/">0.000004/0.000054</td>
<td align="left">P</td>
<td rowspan="2" align="left">Function: encoding the coagulation factor XIII A subunit. Human disease: factor XIIIA deficiency. MGI phenotype: uterine hemorrhage, reduced female fertility</td>
</tr>
<tr>
<td align="left">37</td>
<td align="center">30</td>
<td align="center">2</td>
<td align="left">F13A1</td>
<td align="left">NM_000129.4: c.C1834T; p.R612C</td>
<td align="char" char="/">0.000028/0.00025</td>
<td align="left">US</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>a</label>
<p>Frequency in overall population/East Asian population in gnomAD.</p>
</fn>
<fn>
<p>P, pathogenic; LP, likely pathogenic; US, uncertain significance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>The other heterozygous candidate variants identified by whole-exome sequencing in patients with recurrent pregnancy&#x20;loss.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Patient ID</th>
<th align="center">Gene</th>
<th align="center">Variant</th>
<th align="center">Frequency<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</th>
<th align="center">ACMG/AMP</th>
<th align="center">Biological process relevant to pregnancy</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="left">ADAMTS1</td>
<td align="left">NM_006988:c.G1811A:p.R604H</td>
<td align="char" char="/">0.000004/0</td>
<td align="left">US</td>
<td rowspan="3" align="left">Angiogenesis</td>
</tr>
<tr>
<td align="left">54</td>
<td align="left">NOS3</td>
<td align="left">NM_000603:c.G1507A:p.V503M</td>
<td align="char" char="/">0.000004/0</td>
<td align="left">US</td>
</tr>
<tr>
<td align="left">48</td>
<td align="left">S1PR3</td>
<td align="left">NM_005226:c.38delG:p.R13fs</td>
<td align="char" char="/">0/0</td>
<td align="left">LP</td>
</tr>
<tr>
<td align="left">86</td>
<td align="left">ASH1L</td>
<td align="left">NM_018489:c.C7906T:p.P2636S</td>
<td align="char" char="/">0/0</td>
<td align="left">US</td>
<td rowspan="2" align="left">Chromatin modifying</td>
</tr>
<tr>
<td align="left">89</td>
<td align="left">ASH1L</td>
<td align="left">NM_018489:c.C1411T:p.R471W</td>
<td align="char" char="/">0.000008/0</td>
<td align="left">US</td>
</tr>
<tr>
<td align="left">30</td>
<td align="left">BIN1</td>
<td align="left">NM_139343:c.C593T: p.T198I</td>
<td align="char" char="/">0.00002/ 0.0002</td>
<td align="left">US</td>
<td rowspan="9" align="center">Cell growth, proliferation, differentiation, apoptosis</td>
</tr>
<tr>
<td align="left">62</td>
<td align="left">LPAR3</td>
<td align="left">NM_012152:c.G373A:p.V125M</td>
<td align="char" char="/">0.00014/ 0.00033</td>
<td align="left">US</td>
</tr>
<tr>
<td align="left">92</td>
<td align="left">DDR1</td>
<td align="left">NM_013993:c.C2404T:p.R802W</td>
<td align="char" char="/">0/0</td>
<td align="left">US</td>
</tr>
<tr>
<td align="left">22</td>
<td align="left">PARL</td>
<td align="left">NM_018622:c.C153G: p.C51W</td>
<td align="char" char="/">0.000036/0.00049</td>
<td align="left">US</td>
</tr>
<tr>
<td align="left">28</td>
<td align="left">PARL</td>
<td align="left">NM_018622:c.C153G: p.C51W</td>
<td align="char" char="/">0.000036/0.00049</td>
<td align="left">US</td>
</tr>
<tr>
<td align="left">9</td>
<td align="left">SRC</td>
<td align="left">NM_005417:c.C1337T:p.S446L</td>
<td align="char" char="/">0.000004/0</td>
<td align="left">US</td>
</tr>
<tr>
<td align="left">40</td>
<td align="left">ROR2</td>
<td align="left">NM_004560:c.T1612C:p.C538R</td>
<td align="char" char="/">0/0</td>
<td align="left">US</td>
</tr>
<tr>
<td align="left">31</td>
<td align="left">ROR2</td>
<td align="left">NM_004560:c.G1687A:p.E563K</td>
<td align="char" char="/">0.000036/ 0.00005</td>
<td align="left">US</td>
</tr>
<tr>
<td align="left">78</td>
<td align="left">ARHGDIA</td>
<td align="left">NM_001301243:c.357_374del:p.119_125del</td>
<td align="char" char="/">0/0</td>
<td align="left">US</td>
</tr>
<tr>
<td align="left">70</td>
<td align="left">TNC</td>
<td align="left">NM_002160:c.G434A:p.G145D</td>
<td align="char" char="/">0.000004/0</td>
<td align="left">US</td>
<td rowspan="3" align="left">Extracellular matrix</td>
</tr>
<tr>
<td align="left">40</td>
<td align="left">MMP10</td>
<td align="left">NM_002425:c.G1168A:p.A390T</td>
<td align="char" char="/">0/0</td>
<td align="left">US</td>
</tr>
<tr>
<td align="left">76</td>
<td align="left">MMP9</td>
<td align="left">NM_004994:c.G473T: p.R158L</td>
<td align="char" char="/">0/0</td>
<td align="left">US</td>
</tr>
<tr>
<td align="left">65</td>
<td align="left">C3</td>
<td align="left">NM_000064:c.T1474C:p.Y492H</td>
<td align="char" char="/">0/0</td>
<td align="left">US</td>
<td rowspan="3" align="left">Immune and inflammation</td>
</tr>
<tr>
<td align="left">74</td>
<td align="left">C3</td>
<td align="left">NM_000064:c.G3433A:p.A1145T</td>
<td align="char" char="/">0.000019/ 0.00027</td>
<td align="left">US</td>
</tr>
<tr>
<td align="left">27</td>
<td align="left">NLRP2</td>
<td align="left">NM_017852:c.C2342T:p.P781L</td>
<td align="char" char="/">0/0</td>
<td align="left">US</td>
</tr>
<tr>
<td align="left">45</td>
<td align="left">OSBPL5</td>
<td align="left">NM_020896:c.G1157A:p.R386H</td>
<td align="char" char="/">0.000016/0</td>
<td align="left">US</td>
<td rowspan="2" align="left">Chromosomal segregation</td>
</tr>
<tr>
<td align="left">56</td>
<td align="left">CENPB</td>
<td align="left">NM_001810: c.1262_1264del:p.421_422del</td>
<td align="char" char="/">0/0</td>
<td align="left">US</td>
</tr>
<tr>
<td align="left">18</td>
<td align="left">PER1</td>
<td align="left">NM_002616:c.C278T: p.T93I</td>
<td align="char" char="/">0.0000049/ 0.000058</td>
<td align="left">US</td>
<td rowspan="3" align="left">Metabolism</td>
</tr>
<tr>
<td align="left">67</td>
<td align="left">SLC13A1</td>
<td align="left">NM_022444:c.C814T: p.R272C</td>
<td align="char" char="/">0.00022/ 0.00022</td>
<td align="left">US</td>
</tr>
<tr>
<td align="left">34</td>
<td align="left">TYR</td>
<td align="left">NM_000372:c.C346T: p.R116X</td>
<td align="char" char="/">0.000024/ 0.00016</td>
<td align="left">P</td>
</tr>
<tr>
<td align="left">84</td>
<td align="left">REXO4</td>
<td align="left">NM_020385:c.192_206del:p.64_69del</td>
<td align="char" char="/">0/0</td>
<td align="left">US</td>
<td rowspan="4" align="left">Hormone signaling</td>
</tr>
<tr>
<td align="left">45</td>
<td align="left">REXO4</td>
<td align="left">NM_020385:c.C976G: p.H326D</td>
<td align="char" char="/">0/0</td>
<td align="left">US</td>
</tr>
<tr>
<td align="left">78</td>
<td align="left">FSHR</td>
<td align="left">NM_000145:c.C491A: p.S164Y</td>
<td align="char" char="/">0/0</td>
<td align="left">LP</td>
</tr>
<tr>
<td align="left">50</td>
<td align="left">FKBP4</td>
<td align="left">NM_002014:c.C1066T:p.L356F</td>
<td align="char" char="/">0.00008/ 0.00097</td>
<td align="left">US</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn2">
<label>a</label>
<p>Frequency in overall population/East Asian population in gnomAD.</p>
</fn>
<fn>
<p>P, pathogenic; LP, likely pathogenic; US, uncertain significance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-4">
<title>Effects of Knockdown of FOXA2 on Leukemia Inhibitory Factor Expression</title>
<p>To further explore the possible role of FOXA2 in pregnancy, the expression of a key embryo implantation marker&#x2014;LIF, was detected after siFOXA2-375 transfection. The results of RT&#x2013;qPCR and western blotting showed that both the mRNA and protein levels of LIF were significantly decreased in HEK-293T cells after downregulation of FOXA2 expression (<xref ref-type="fig" rid="F3">Figure&#x20;3</xref>). Thus, knockdown of <italic>FOXA2</italic> might result in decreased LIF expression.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Expression of LIF in HEK 293T&#x20;cells with FOXA2 knockdown. <bold>(A)</bold> The mRNA level of LIF was measured by qPCR. <bold>(B)</bold> The protein level of LIF was detected by western blot. Student&#x2019;s t-test was used for the <italic>p</italic> value analysis. &#x2a;<italic>p</italic>&#x20;&#x3c; 0.05; &#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c; 0.01.</p>
</caption>
<graphic xlink:href="fgene-12-746082-g003.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Here we performed WES on samples from 100 unrelated Han Chinese women, aiming to identify novel genes and variants associated with RPL. To more effectively identify candidate genes, we generated a subset of 95&#x20;RPL-associated genes including causative/candidate genes previously reported in patients with RPL and female infertility phenotype-associated genes identifies from mouse model studies. We identified six pathogenic or likely pathogenic variants in <italic>FOXA2</italic>, <italic>FGA</italic>, <italic>F13A1,</italic> and <italic>KHDC3L,</italic> which were considered potential causal genes according to the genetic findings, functional relevance and/or phenotypes of corresponding mouse models. We found 29 additional rare variants in the other candidate&#x20;genes.</p>
<p>Pregnancy is an extremely complex physiological process that requires the participation of various hormones and cytokines. Previous studies on sheep and mice lacking uterine glands have provided direct evidence that these can contribute to the formation and continuation of pregnancy by secreting important components, e.g., LIF (<xref ref-type="bibr" rid="B53">Yamagami et&#x20;al., 2014</xref>). <italic>FOXA2</italic> holds particular interest because it is expressed in endometrial glands and its expression increases transiently during early pregnancy in the rat (<xref ref-type="bibr" rid="B53">Yamagami et&#x20;al., 2014</xref>). Previous findings provided clear evidence that <italic>FOXA2</italic> regulates the expression of LIF from uterine glands that is critical for blastocyst implantation and the development of uterine glands (<xref ref-type="bibr" rid="B15">Jeong et&#x20;al., 2010</xref>; <xref ref-type="bibr" rid="B20">Kelleher et&#x20;al., 2017</xref>). In addition, Lin <italic>et&#x20;al.</italic> conducted a series of functional experiments to prove that <italic>FOXA2</italic> expression may affect the proliferation and migration of endometrium cells, leading to reproductive health diseases such as endometriosis. Furthermore, mice with a heterozygous knockout of FOXA2 had an elevated miscarriage rate because of abnormal blastocyst implantation and decidualization, similar to the phenotype of RPL. We found a newly identified heterozygous nonsense variant of <italic>FOXA2</italic> (c.C1260G; p.Y420X) in one patient. Therefore, we prioritized this <italic>FOXA2</italic> variant as a potential causative variant for RPL. This is the first <italic>FOXA2</italic> variant reported in cases of&#x20;RPL.</p>
<p>LIF, highly expressed in the uterine endometrial glands in both mice and humans, plays an important role in maternal receptivity to blastocyst implantation, placental formation and in the development of the nervous system (<xref ref-type="bibr" rid="B49">Stewart et&#x20;al., 1992</xref>; <xref ref-type="bibr" rid="B7">Charnock-Jones et&#x20;al., 1994</xref>). Kelleher <italic>et&#x20;al.</italic> (<xref ref-type="bibr" rid="B20">Kelleher et&#x20;al., 2017</xref>) proved that LIF is not expressed during early pregnancy in adult <italic>FOXA2</italic>-knockout mice; moreover, injection of LIF could induce embryo implantation and rescue pregnancy. This finding using a mice model suggested that <italic>FOXA2</italic> might affect pregnancy by regulating the expression of LIF. Consistent with previous results, we found that knockdown of FOXA2 expression significantly decreased the expression of LIF in HEK-293T cells. Thus, <italic>FOXA2</italic> might be a candidate gene for variants causing RPL, by regulating the expression of LIF, a critical implantation factor of uterine gland origin. However, the specific pathways and mechanisms by which <italic>FOXA2</italic> variants lead to RPL clearly need further studies.</p>
<p>The complex balance of coagulability and hemorrhage from embryonic implantation to delivery are pivotal to the success of pregnancy. Abnormal coagulation can inhibit implantation and initiate miscarriage. In the past decades, several studies have suggested that polymorphisms of thrombophilic factors such as G1691A encoded by <italic>FVL</italic>, G20210A encoded by <italic>F2</italic> and C677T encoded by <italic>MTHFR</italic> have significant associations with the risk of RPL (<xref ref-type="bibr" rid="B46">Sergi et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B8">Chen et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B18">Jusic et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B30">Per&#xe9;s Wingeyer et&#x20;al., 2019</xref>). Rare variants of blood coagulation-associated genes that distort the normal structure or function of the encoded proteins can disrupt the balance mentioned above, cause abnormal hemorrhage in the uterus during pregnancy and result in adverse pregnancy outcomes. Here we identified four variants in two coagulation-associated genes, <italic>FGA</italic> and <italic>F13A1</italic>, in four cases of&#x20;RPL.</p>
<p>
<italic>FGA</italic>, encoding the subunit of the coagulation factor fibrinogen, is an important component of maternal fibrinogen mainly involved in pregnancy by supporting the proliferation and diffusion of early trophoblast cells and by maintaining development of the fetomaternal circulation (<xref ref-type="bibr" rid="B13">Inbal and Muszbek 2003</xref>; <xref ref-type="bibr" rid="B14">Iwaki and Castellino 2005</xref>). Thus, <italic>FGA</italic> variants can result in disorders in fibrinogenemia (de Moerloose et&#x20;al., 2013). For example, homozygous variants can cause afibrinogenemia a serious bleeding disorder (<xref ref-type="bibr" rid="B44">Robert-Ebadi et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B1">Amri et&#x20;al., 2016</xref>), so pregnant women with afibrinogenemia are at greater risk of bleeding complications and RPL because of the absence of this key protein (<xref ref-type="bibr" rid="B32">Peyvandi et&#x20;al., 2011</xref>). Heterozygous variants can lead to dysfibrinogenemia or hypofibrinogenemia (<xref ref-type="bibr" rid="B4">Casini et&#x20;al., 2015</xref>), which are often clinically asymptomatic in most patients except in pregnant women who can develop significant bleeding for gynecological reasons (<xref ref-type="bibr" rid="B6">Castaman et&#x20;al., 2019</xref>). Pregnant women with dysfibrinogenemia can suffer from obstetric complications including miscarriage mostly during the first trimester because of an abnormal decrease in fibrinogen levels and modifications of blood clot structures during pregnancy (<xref ref-type="bibr" rid="B12">Haverkate and Samama 1995</xref>). Li <italic>et&#x20;al.</italic> (<xref ref-type="bibr" rid="B22">Li et&#x20;al., 2018</xref>) reported four asymptomatic cases in women with congenital hypofibrinogenemia, one of whom had a history of six early miscarriages. Valiton <italic>et&#x20;al.</italic> (<xref ref-type="bibr" rid="B51">Valiton et&#x20;al., 2019</xref>) found that almost half of all pregnancies in women with hypofibrinogenemia and dysfibrinogenemia resulted in miscarriage. Here, we identified a novel in-frame deletion (NM_000508.5: c.1906_1908del; p.636del) and a rare missense variant (NM_000508.5: c.C2285T; p.A762V) in <italic>FGA</italic> in two patients who had both experienced three miscarriages. A rare <italic>FGA</italic> variant (c.T2054G; p.F685C) was also reported by Quintero-Ronderos <italic>et&#x20;al.</italic> (<xref ref-type="bibr" rid="B39">Quintero-Ronderos et&#x20;al., 2017a</xref>). All of these variants reside in the C-terminal region. Fragment molecular orbital analysis showed that the p.F685C variant led to changes in total interaction energy, thus leading to protein instability (<xref ref-type="bibr" rid="B39">Quintero-Ronderos et&#x20;al., 2017a</xref>).</p>
<p>Another coagulation-associated gene, <italic>F13A1</italic>, encodes the A subunit of FXIII and is mainly expressed in the uterus and placenta (<xref ref-type="bibr" rid="B48">Shi and Wang 2017</xref>). <italic>F13A1</italic> homozygous variants might cause FXIII deficiency, and heterozygous missense variants will still have a strong effect on the functional status of the protein (<xref ref-type="bibr" rid="B3">Biswas et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B50">Thomas et&#x20;al., 2016</xref>). Women with FXIII deficiency could suffer from detachment of the placenta from the uterus and subsequent miscarriage because of insufficient formation of the cytotrophoblastic shell and abnormal cross-linking of fibrin to fibronectin (<xref ref-type="bibr" rid="B10">Dorgalaleh and Rashidpanah 2016</xref>). A meta-analysis found that a common missense variant (p.V34L) was significantly associated with the risk of RPL in Asian women, indicating that functional variants in <italic>F13A1</italic> can be associated with this averse outcome (<xref ref-type="bibr" rid="B17">Jung et&#x20;al., 2017</xref>). Our study identified two rare heterozygous variants of <italic>F13A1</italic> in two women who had experienced two and four miscarriages. One was a missense variant (c.C1834T; p.R612C), which is located in the Factor XIII-A barrel 1 region including an important Tyr560 residue crucial for the activation of FXIII-A zymogen (<xref ref-type="bibr" rid="B50">Thomas et&#x20;al., 2016</xref>). The other was a nonsense variant (c.C1201T; p.Q401X) that causes a truncated protein and the loss of the protein&#x2019;s core catalytic region. Our results, together with previous findings, provide evidence on the role of coagulation-associated genes (e.g., <italic>FGA</italic> and <italic>F13A1</italic>) in the etiology of&#x20;RPL.</p>
<p>The KHDC3L protein is an important component of the subcortical maternal complex and is mainly found in oocytes. Rare biallelic variants of maternal <italic>KHDC3L</italic> have been reported to be associated with recurrent hydatidiform mole (<xref ref-type="bibr" rid="B42">Rezaei et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B16">Ji et&#x20;al., 2019</xref>). Zhang <italic>et&#x20;al.</italic> (<xref ref-type="bibr" rid="B55">Zhang et&#x20;al., 2019</xref>) using a series of functional experiments found that <italic>KHDC3L</italic> could maintain the stability of the embryonic genome. Mechanically, two key residues, Thr145 and Thr156, phosphorylated by the Ataxia-telangiectasia mutated kinase, are critical for the functions of <italic>KHDC3L</italic>. Zhang <italic>et&#x20;al.</italic> (<xref ref-type="bibr" rid="B55">Zhang et&#x20;al., 2019</xref>) also detected two heterozygous in-frame deletions (p.150_160del and p.150_172del) in two of 29 patients with RPL. These two heterozygous deletions caused the loss of the critical residue Thr156 and led to abnormal instability of the embryonic genome and pregnancy failure by a dominant&#x2013;negative effect (<xref ref-type="bibr" rid="B55">Zhang et&#x20;al., 2019</xref>). Here, the heterozygous deletion (NM_001017361: c.436_468del) we found was consistent with a previously reported variant that also resulted in the loss of both phosphorylation sites. Our results further emphasize the pathogenic role of <italic>KDHC3L</italic> in&#x20;RPL.</p>
<p>Regarding the other genes identified here, they are also of interest and might be candidates for RPL, because they are involved in biological processes that might be related to pregnancy loss: angiogenesis, the immune response, metabolism, extracellular matrix remodeling and regulation of critical cell functions. In addition to their functional relevance to human pregnancy and mouse model phenotypes, several genes have also been reported previously in patients with RPL with rare and potentially pathogenic variants. These include <italic>MMP9</italic>, <italic>MMP10</italic>, <italic>TNC</italic>, <italic>FKBP4</italic>, and <italic>ATAMTS1</italic>. However, the functional and phenotypic associations between these variants and RPL need further analysis. Our findings might provide some clues for future research on RPL. Furthermore, we found that there was no significant difference between patients with two miscarriages and those with three or four in age and variant accumulation, which is consistent with the view of some experts that the risk of having a second miscarriage in patients with two miscarriages is similar to that in those who had three miscarriages. This result further confirmed the importance of paying more attention and enhanced genetic counseling for patients who have experienced two consecutive miscarriages.</p>
<p>However, there were some limitations to our study. First, we did not study women with normal pregnancies and the lack of control samples may limit the interpretation of our results. Considering the high genetic heterogeneity of RPL and large numbers of genes involved in its development, it is difficult to reach statistical significance for case-control analyses with a limited sample size. Therefore, we focused on rare (i.e.,&#x20;frequency &#x3c;0.1%), deleterious variants that were functionally relevant to miscarriage and used populations from public databases as controls. Further case-control studies with a large sample size based on whole exome sequencing are needed to more comprehensively unveil the genetic factors for RPL. Second, to explore more novel maternal-effect genes and variants in this study, we only sequenced samples of RPL patients seeking for maternal-effect genes but did not sequence samples from miscarried fetuses or from the husbands for fetal- and paternal-effect genes. The etiology of some RPL cases might have been missed in our study. Third, the pathogenic role of candidate variants identified in our study clearly needs verification by functional experiments in the future.</p>
<p>In summary, we found rare variants in known causative genes and identified some newly identified candidate genes for RPL by WES analysis in 100 unrelated Han Chinese women with RPL. The detection of several variants in coagulation-associated genes further emphasizes the importance of a blood coagulation balance in pregnancy and variant screening of coagulation-associated genes might be useful in patients with RPL even if they are asymptomatic. We identified <italic>FOXA2</italic> as a new candidate gene with variants causing RPL, and a subset of genes that might be associated with miscarriage. The findings might provide some genetic clues for future functional research and clinical intervention. Therefore, large-scale, next-generation sequencing studies for RPL and functional investigations for candidate genes are clearly needed in the future.</p>
</sec>
</body>
<back>
<sec id="s5">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s11">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Committee of the National Research Institute for Family Planning. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>All authors contributed to the study conception and design. Material preparation were performed by HX, QH, ZX, YS, HP; reagents, materials, analysis tools and data were contributed by XM, YC, BW. The experiments were performed by TL; date analysis and interpretation were performed by BW, CW; the first draft of the manuscript was written by CW. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>The National Key Research and Development Program of China (2018YFC1002801), CAMS Innovation Fund for Medical Sciences (2018-I2M-1-004), CAMS Fund for Excellent Young Medical Talents (2018RC310024) and the Central Public Interest Scientific Institution Basal Research Fund (2020GJZ08).</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ack>
<p>We thank the patients for participating in this&#x20;study.</p>
</ack>
<sec id="s11">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fgene.2021.746082/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fgene.2021.746082/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.DOCX" id="SM1" mimetype="application/DOCX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="DataSheet1.PDF" id="SM2" mimetype="application/PDF" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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