IVPP-IR
Genomic Analyses from Non-invasive Prenatal Testing Reveal Genetic Associations, Patterns of Viral Infections, and Chinese Population History
Liu, Siyang1,2; Huang, Shujia1,3; Chen, Fang1,24,25; Zhao, Lijian1; Yuan, Yuying1; Francis, Stephen Starko4,5; Fang, Lin1; Li, Zilong6; Lin, Long6; Liu, Rong1; Zhang, Yong1; Xu, Huixin1; Li, Shengkang1; Zhou, Yuwen1,6; Davies, Robert W.7; Liu, Qiang1; Walters, Robin G.8,9; Lin, Kuang8,9; Ju, Jia1; Komeliussen, Thorfinn10; Yang, Melinda A.11; Fu, Qiaomei11,12,13; Wang, Jun1; Zhou, Lijun1; Krogh, Anders2; Zhang, Hongyun1; Wang, Wei1; Chen, Zhengming8,9; Cai, Zhiming14,15,16; Yin, Ye1; Yang, Huanming1,17; Mao, Mao1; Shendure, Jay18,19,20; Wang, Jian1,17; Albrechtsen, Anders2; Jin, Xin1,3; Nielsen, Rasmus21,22,23; Xu, Xun1
2018-10-04
发表期刊CELL
ISSN0092-8674
卷号175期号:2页码:347-+
摘要We analyze whole-genome sequencing data from 141,431 Chinese women generated for non-invasive prenatal testing (NIPT). We use these data to characterize the population genetic structure and to investigate genetic associations with maternal and infectious traits. We show that the present day distribution of alleles is a function of both ancient migration and very recent population movements. We reveal novel phenotype-genotype associations, including several replicated associations with height and BMI, an association between maternal age and EMB, and between twin pregnancy and NRG1. Finally, we identify a unique pattern of circulating viral DNA in plasma with high prevalence of hepatitis B and other clinically relevant maternal infections. A GWAS for viral infections identifies an exceptionally strong association between integrated herpesvirus 6 and MOV10L1, which affects piwi-interacting RNA (piRNA) processing and PIWI protein function. These findings demonstrate the great value and potential of accumulating NIPT data for worldwide medical and genetic analyses.
DOI10.1016/j.cell.2018.08.016
关键词[WOS]GENERATION SEQUENCING DATA ; EXPRESSION GTEX PROJECT ; WIDE ASSOCIATION ; GENOTYPE IMPUTATION ; POSITIVE SELECTION ; GWAS CATALOG ; HAN CHINESE ; EAST-ASIA ; DISEASE ; DISCOVERY
收录类别SCI
语种英语
资助项目Natural Science Foundation of Guangdong Province, China[2017A030306026] ; Funds for Distinguished Young Scholar of South China University of China[2017JQ017] ; Funds for Industrial PhD by Innovation Fund Denmark[4135-00130B]
WOS研究方向Biochemistry & Molecular Biology ; Cell Biology
WOS类目Biochemistry & Molecular Biology ; Cell Biology
WOS记录号WOS:000446321300009
出版者CELL PRESS
引用统计
文献类型期刊论文
条目标识符http://119.78.100.205/handle/311034/8996
专题中国科学院古脊椎动物与古人类研究所
通讯作者Wang, Jian; Albrechtsen, Anders; Jin, Xin; Nielsen, Rasmus; Xu, Xun
作者单位1.BGI Shenzhen, Shenzhen 518083, Guangdong, Peoples R China
2.Univ Copenhagen, Dept Biol, Bioinformat Ctr, DK-2200 Copenhagen, Denmark
3.South China Univ Technol, Sch Med, Guangzhou 510006, Guangdong, Peoples R China
4.Univ Nevada, Div Epidemiol, Reno, NV 89557 USA
5.Univ Calif San Francisco, Dept Epidemiol & Biostat, San Francisco, CA 94143 USA
6.Univ Chinese Acad Sci, BGI Educ Ctr, Shenzhen 518083, Guangdong, Peoples R China
7.Hosp Sick Children, Ctr Appl Genom Genet & Genome Biol, Toronto, ON M6H 3W4, Canada
8.Univ Oxford, Nuffield Dept Populat Hlth, Clin Trial Serv Unit, Oxford OX3 7LF, England
9.Univ Oxford, Nuffield Dept Populat Hlth, Epidemiol Studies Unit, Oxford OX3 7LF, England
10.Univ Cambridge, Dept Zool, Downing St, Cambridge CB2 3EJ, England
11.Chinese Acad Sci, Inst Vertebrate Paleontol & Paleoanthropol, Key Lab Vertebrate Evolut & Human Origins, Beijing 100044, Peoples R China
12.Chinese Acad Sci, Ctr Excellence Life & Paleoenvironm, Beijing 100044, Peoples R China
13.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
14.Shenzhen Univ, Shenzhen Peoples Hosp 2, Affiliated Hosp 1, Dept Urol Surg, Shenzhen 518035, Guangdong, Peoples R China
15.Guangdong Key Lab Syst Biol & Synthet Biol Urogen, Shenzhen 518035, Guangdong, Peoples R China
16.Shenzhen Univ, Carson Int Canc Ctr, Shenzhen 518060, Guangdong, Peoples R China
17.James D Watson Inst Genome Sci, Hangzhou 310058, Zhejiang, Peoples R China
18.Univ Washington, Dept Genome Sci, Seattle, WA 98195 USA
19.Howard Hughes Med Inst, Seattle, WA 98195 USA
20.Brotman Baty Inst Precis Med, Seattle, WA 98195 USA
21.Univ Calif Berkeley, Dept Integrat Biol, Berkeley, CA 94720 USA
22.Univ Copenhagen, Ctr GeoGenet, Nat Hist Museum Denmark, DK-1350 Copenhagen, Denmark
23.Univ Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA
24.Univ Copenhagen, Dept Biol, Lab Genom & Mol Biomed, DK-2100 Copenhagen, Denmark
25.BGI Changyuan, Xinxiang 453400, Henan, Peoples R China
推荐引用方式
GB/T 7714
Liu, Siyang,Huang, Shujia,Chen, Fang,et al. Genomic Analyses from Non-invasive Prenatal Testing Reveal Genetic Associations, Patterns of Viral Infections, and Chinese Population History[J]. CELL,2018,175(2):347-+.
APA Liu, Siyang.,Huang, Shujia.,Chen, Fang.,Zhao, Lijian.,Yuan, Yuying.,...&Xu, Xun.(2018).Genomic Analyses from Non-invasive Prenatal Testing Reveal Genetic Associations, Patterns of Viral Infections, and Chinese Population History.CELL,175(2),347-+.
MLA Liu, Siyang,et al."Genomic Analyses from Non-invasive Prenatal Testing Reveal Genetic Associations, Patterns of Viral Infections, and Chinese Population History".CELL 175.2(2018):347-+.
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