Phenome-wide association study in 25,639 pregnant Chinese women reveals loci associated with maternal comorbidities and child health
Phenome-wide association studies (PheWAS) have been less focused on maternal diseases and maternal-newborn comorbidities, especially in the Chinese population. To enhance our understanding of the genetic basis of these related diseases, we conducted a PheWAS on 25,639 pregnant women and 14,151 newbo...
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creator | Guo, Jintao Guo, Qiwei Zhong, Taoling Xu, Chaoqun Xia, Zhongmin Fang, Hongkun Chen, Qinwei Zhou, Ying Xie, Jieqiong Jin, Dandan Yang, You Wu, Xin Zhu, Huanhuan Hour, Ailing Jin, Xin Zhou, Yulin Li, Qiyuan |
description | Phenome-wide association studies (PheWAS) have been less focused on maternal diseases and maternal-newborn comorbidities, especially in the Chinese population. To enhance our understanding of the genetic basis of these related diseases, we conducted a PheWAS on 25,639 pregnant women and 14,151 newborns in the Chinese Han population using ultra-low-coverage whole-genome sequence (ulcWGS). We identified 2,883 maternal trait-associated SNPs associated with 26 phenotypes, among which 99.5% were near established genome-wide association study (GWAS) loci. Further refinement delineated these SNPs to 442 unique trait-associated loci (TALs) predicated on linkage disequilibrium R2 > 0.8, revealing that 75.6% demonstrated pleiotropy and 50.9% were located in genes implicated in analogous phenotypes. Notably, we discovered 21 maternal SNPs associated with 35 neonatal phenotypes, including two SNPs associated with identical complications in both mothers and children. These findings underscore the importance of integrating ulcWGS data to enrich the discoveries derived from traditional PheWAS approaches.
[Display omitted]
•Large-scale genome-wide PheWAS in Chinese population of pregnant women and neonates•Integrating NIPT and EHR data to enhance the discovery by PheWAS•Revealing the genetic determinants of maternal-newborn comorbidities
Guo et al. studied the association between 5,957,600 variants and 317 disease phenotypes in 25,639 Chinese pregnant women and 14,151 newborns using NIPT and EHR data. This study informed potential associations between maternal and neonatal diseases, offering insights into risk loci predisposing comorbidities of mothers and children. |
doi_str_mv | 10.1016/j.xgen.2024.100632 |
format | Article |
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[Display omitted]
•Large-scale genome-wide PheWAS in Chinese population of pregnant women and neonates•Integrating NIPT and EHR data to enhance the discovery by PheWAS•Revealing the genetic determinants of maternal-newborn comorbidities
Guo et al. studied the association between 5,957,600 variants and 317 disease phenotypes in 25,639 Chinese pregnant women and 14,151 newborns using NIPT and EHR data. This study informed potential associations between maternal and neonatal diseases, offering insights into risk loci predisposing comorbidities of mothers and children.</description><identifier>ISSN: 2666-979X</identifier><identifier>EISSN: 2666-979X</identifier><identifier>DOI: 10.1016/j.xgen.2024.100632</identifier><identifier>PMID: 39389020</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Big Data analysis ; Child Health ; China - epidemiology ; Comorbidity ; East Asian People ; electronic health record ; Female ; Genome-Wide Association Study ; health informatics ; Humans ; Infant, Newborn ; Linkage Disequilibrium ; maternal-neonatal comorbidities ; non-invasive prenatal testing ; phenome-wide association study ; Phenotype ; Polymorphism, Single Nucleotide ; Pregnancy ; Pregnancy Complications - epidemiology ; Pregnancy Complications - genetics ; ultra-low-coverage genome sequence</subject><ispartof>Cell genomics, 2024-10, Vol.4 (10), p.100632, Article 100632</ispartof><rights>2024 The Authors</rights><rights>Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.</rights><rights>2024 The Authors 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c337t-280a49a246dc173bf1313dfb52d0a202316d0a94cc07e683912a518bb066ab63</cites><orcidid>0000-0002-8934-8948</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11602594/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11602594/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39389020$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Guo, Jintao</creatorcontrib><creatorcontrib>Guo, Qiwei</creatorcontrib><creatorcontrib>Zhong, Taoling</creatorcontrib><creatorcontrib>Xu, Chaoqun</creatorcontrib><creatorcontrib>Xia, Zhongmin</creatorcontrib><creatorcontrib>Fang, Hongkun</creatorcontrib><creatorcontrib>Chen, Qinwei</creatorcontrib><creatorcontrib>Zhou, Ying</creatorcontrib><creatorcontrib>Xie, Jieqiong</creatorcontrib><creatorcontrib>Jin, Dandan</creatorcontrib><creatorcontrib>Yang, You</creatorcontrib><creatorcontrib>Wu, Xin</creatorcontrib><creatorcontrib>Zhu, Huanhuan</creatorcontrib><creatorcontrib>Hour, Ailing</creatorcontrib><creatorcontrib>Jin, Xin</creatorcontrib><creatorcontrib>Zhou, Yulin</creatorcontrib><creatorcontrib>Li, Qiyuan</creatorcontrib><title>Phenome-wide association study in 25,639 pregnant Chinese women reveals loci associated with maternal comorbidities and child health</title><title>Cell genomics</title><addtitle>Cell Genom</addtitle><description>Phenome-wide association studies (PheWAS) have been less focused on maternal diseases and maternal-newborn comorbidities, especially in the Chinese population. To enhance our understanding of the genetic basis of these related diseases, we conducted a PheWAS on 25,639 pregnant women and 14,151 newborns in the Chinese Han population using ultra-low-coverage whole-genome sequence (ulcWGS). We identified 2,883 maternal trait-associated SNPs associated with 26 phenotypes, among which 99.5% were near established genome-wide association study (GWAS) loci. Further refinement delineated these SNPs to 442 unique trait-associated loci (TALs) predicated on linkage disequilibrium R2 > 0.8, revealing that 75.6% demonstrated pleiotropy and 50.9% were located in genes implicated in analogous phenotypes. Notably, we discovered 21 maternal SNPs associated with 35 neonatal phenotypes, including two SNPs associated with identical complications in both mothers and children. These findings underscore the importance of integrating ulcWGS data to enrich the discoveries derived from traditional PheWAS approaches.
[Display omitted]
•Large-scale genome-wide PheWAS in Chinese population of pregnant women and neonates•Integrating NIPT and EHR data to enhance the discovery by PheWAS•Revealing the genetic determinants of maternal-newborn comorbidities
Guo et al. studied the association between 5,957,600 variants and 317 disease phenotypes in 25,639 Chinese pregnant women and 14,151 newborns using NIPT and EHR data. This study informed potential associations between maternal and neonatal diseases, offering insights into risk loci predisposing comorbidities of mothers and children.</description><subject>Adult</subject><subject>Big Data analysis</subject><subject>Child Health</subject><subject>China - epidemiology</subject><subject>Comorbidity</subject><subject>East Asian People</subject><subject>electronic health record</subject><subject>Female</subject><subject>Genome-Wide Association Study</subject><subject>health informatics</subject><subject>Humans</subject><subject>Infant, Newborn</subject><subject>Linkage Disequilibrium</subject><subject>maternal-neonatal comorbidities</subject><subject>non-invasive prenatal testing</subject><subject>phenome-wide association study</subject><subject>Phenotype</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Pregnancy</subject><subject>Pregnancy Complications - epidemiology</subject><subject>Pregnancy Complications - genetics</subject><subject>ultra-low-coverage genome sequence</subject><issn>2666-979X</issn><issn>2666-979X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1uEzEUhUcIRKvSF2CBvGTBBP_MeMYSEkIRLUiVYNEFO8tj32RuNGMH20nongfHUUpUNqx8ZJ_vXOueqnrN6IJRJt9vFr_W4Bec8qZcUCn4s-qSSylr1akfz5_oi-o6pQ2llPfF2ImX1YVQoleU08vq9_cRfJihPqADYlIKFk3G4EnKO_dA0BPevpNCkW2EtTc-k-WIHhKQQ8E8ibAHMyUyFfDMgyMHzCOZi4zeTMSGOcQBHWaERIx3xI44OTIWNo-vqherkgHXj-dVdX_z-X75pb77dvt1-emutkJ0ueY9NY0yvJHOsk4MKyaYcKuh5Y6asgjBZBGqsZZ2IHuhGDct64eBSmkGKa6qj6fY7W6YwVnwOZpJbyPOJj7oYFD_--Jx1Ouw14xJylvVlIS3jwkx_NxBynrGZGGajIewS1ow1jZKdb0oVn6y2hhSirA6z2FUHxvUG31sUB8b1KcGC_Tm6Q_PyN--iuHDyQBlTXuEqJNF8BYcRrBZu4D_y_8DUKuu5w</recordid><startdate>20241009</startdate><enddate>20241009</enddate><creator>Guo, Jintao</creator><creator>Guo, Qiwei</creator><creator>Zhong, Taoling</creator><creator>Xu, Chaoqun</creator><creator>Xia, Zhongmin</creator><creator>Fang, Hongkun</creator><creator>Chen, Qinwei</creator><creator>Zhou, Ying</creator><creator>Xie, Jieqiong</creator><creator>Jin, Dandan</creator><creator>Yang, You</creator><creator>Wu, Xin</creator><creator>Zhu, Huanhuan</creator><creator>Hour, Ailing</creator><creator>Jin, Xin</creator><creator>Zhou, Yulin</creator><creator>Li, Qiyuan</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8934-8948</orcidid></search><sort><creationdate>20241009</creationdate><title>Phenome-wide association study in 25,639 pregnant Chinese women reveals loci associated with maternal comorbidities and child health</title><author>Guo, Jintao ; Guo, Qiwei ; Zhong, Taoling ; Xu, Chaoqun ; Xia, Zhongmin ; Fang, Hongkun ; Chen, Qinwei ; Zhou, Ying ; Xie, Jieqiong ; Jin, Dandan ; Yang, You ; Wu, Xin ; Zhu, Huanhuan ; Hour, Ailing ; Jin, Xin ; Zhou, Yulin ; Li, Qiyuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-280a49a246dc173bf1313dfb52d0a202316d0a94cc07e683912a518bb066ab63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Big Data analysis</topic><topic>Child Health</topic><topic>China - epidemiology</topic><topic>Comorbidity</topic><topic>East Asian People</topic><topic>electronic health record</topic><topic>Female</topic><topic>Genome-Wide Association Study</topic><topic>health informatics</topic><topic>Humans</topic><topic>Infant, Newborn</topic><topic>Linkage Disequilibrium</topic><topic>maternal-neonatal comorbidities</topic><topic>non-invasive prenatal testing</topic><topic>phenome-wide association study</topic><topic>Phenotype</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Pregnancy</topic><topic>Pregnancy Complications - epidemiology</topic><topic>Pregnancy Complications - genetics</topic><topic>ultra-low-coverage genome sequence</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guo, Jintao</creatorcontrib><creatorcontrib>Guo, Qiwei</creatorcontrib><creatorcontrib>Zhong, Taoling</creatorcontrib><creatorcontrib>Xu, Chaoqun</creatorcontrib><creatorcontrib>Xia, Zhongmin</creatorcontrib><creatorcontrib>Fang, Hongkun</creatorcontrib><creatorcontrib>Chen, Qinwei</creatorcontrib><creatorcontrib>Zhou, Ying</creatorcontrib><creatorcontrib>Xie, Jieqiong</creatorcontrib><creatorcontrib>Jin, Dandan</creatorcontrib><creatorcontrib>Yang, You</creatorcontrib><creatorcontrib>Wu, Xin</creatorcontrib><creatorcontrib>Zhu, Huanhuan</creatorcontrib><creatorcontrib>Hour, Ailing</creatorcontrib><creatorcontrib>Jin, Xin</creatorcontrib><creatorcontrib>Zhou, Yulin</creatorcontrib><creatorcontrib>Li, Qiyuan</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cell genomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guo, Jintao</au><au>Guo, Qiwei</au><au>Zhong, Taoling</au><au>Xu, Chaoqun</au><au>Xia, Zhongmin</au><au>Fang, Hongkun</au><au>Chen, Qinwei</au><au>Zhou, Ying</au><au>Xie, Jieqiong</au><au>Jin, Dandan</au><au>Yang, You</au><au>Wu, Xin</au><au>Zhu, Huanhuan</au><au>Hour, Ailing</au><au>Jin, Xin</au><au>Zhou, Yulin</au><au>Li, Qiyuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Phenome-wide association study in 25,639 pregnant Chinese women reveals loci associated with maternal comorbidities and child health</atitle><jtitle>Cell genomics</jtitle><addtitle>Cell Genom</addtitle><date>2024-10-09</date><risdate>2024</risdate><volume>4</volume><issue>10</issue><spage>100632</spage><pages>100632-</pages><artnum>100632</artnum><issn>2666-979X</issn><eissn>2666-979X</eissn><abstract>Phenome-wide association studies (PheWAS) have been less focused on maternal diseases and maternal-newborn comorbidities, especially in the Chinese population. To enhance our understanding of the genetic basis of these related diseases, we conducted a PheWAS on 25,639 pregnant women and 14,151 newborns in the Chinese Han population using ultra-low-coverage whole-genome sequence (ulcWGS). We identified 2,883 maternal trait-associated SNPs associated with 26 phenotypes, among which 99.5% were near established genome-wide association study (GWAS) loci. Further refinement delineated these SNPs to 442 unique trait-associated loci (TALs) predicated on linkage disequilibrium R2 > 0.8, revealing that 75.6% demonstrated pleiotropy and 50.9% were located in genes implicated in analogous phenotypes. Notably, we discovered 21 maternal SNPs associated with 35 neonatal phenotypes, including two SNPs associated with identical complications in both mothers and children. These findings underscore the importance of integrating ulcWGS data to enrich the discoveries derived from traditional PheWAS approaches.
[Display omitted]
•Large-scale genome-wide PheWAS in Chinese population of pregnant women and neonates•Integrating NIPT and EHR data to enhance the discovery by PheWAS•Revealing the genetic determinants of maternal-newborn comorbidities
Guo et al. studied the association between 5,957,600 variants and 317 disease phenotypes in 25,639 Chinese pregnant women and 14,151 newborns using NIPT and EHR data. This study informed potential associations between maternal and neonatal diseases, offering insights into risk loci predisposing comorbidities of mothers and children.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>39389020</pmid><doi>10.1016/j.xgen.2024.100632</doi><orcidid>https://orcid.org/0000-0002-8934-8948</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Big Data analysis Child Health China - epidemiology Comorbidity East Asian People electronic health record Female Genome-Wide Association Study health informatics Humans Infant, Newborn Linkage Disequilibrium maternal-neonatal comorbidities non-invasive prenatal testing phenome-wide association study Phenotype Polymorphism, Single Nucleotide Pregnancy Pregnancy Complications - epidemiology Pregnancy Complications - genetics ultra-low-coverage genome sequence |
title | Phenome-wide association study in 25,639 pregnant Chinese women reveals loci associated with maternal comorbidities and child health |
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