Genome-wide genotype-serum proteome mapping provides insights into the cross-ancestry differences in cardiometabolic disease susceptibility

Integrating genetic information with circulating proteomics can help understand mechanisms of disease. Here, the authors conduct genome-wide association analyses of the serum proteome in 2,958 Han Chinese individuals, uncovering proteins which may contribute to ancestry differences in cardiometaboli...

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Main Authors: Fengzhe Xu, Evan Yi-Wen Yu, Xue Cai, Liang Yue, Li-peng Jing, Xinxiu Liang, Yuanqing Fu, Zelei Miao, Min Yang, Menglei Shuai, Wanglong Gou, Congmei Xiao, Zhangzhi Xue, Yuting Xie, Sainan Li, Sha Lu, Meiqi Shi, Xuhong Wang, Wensheng Hu, Claudia Langenberg, Jian Yang, Yu-ming Chen, Tiannan Guo, Ju-Sheng Zheng
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-36491-3
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author Fengzhe Xu
Evan Yi-Wen Yu
Xue Cai
Liang Yue
Li-peng Jing
Xinxiu Liang
Yuanqing Fu
Zelei Miao
Min Yang
Menglei Shuai
Wanglong Gou
Congmei Xiao
Zhangzhi Xue
Yuting Xie
Sainan Li
Sha Lu
Meiqi Shi
Xuhong Wang
Wensheng Hu
Claudia Langenberg
Jian Yang
Yu-ming Chen
Tiannan Guo
Ju-Sheng Zheng
author_facet Fengzhe Xu
Evan Yi-Wen Yu
Xue Cai
Liang Yue
Li-peng Jing
Xinxiu Liang
Yuanqing Fu
Zelei Miao
Min Yang
Menglei Shuai
Wanglong Gou
Congmei Xiao
Zhangzhi Xue
Yuting Xie
Sainan Li
Sha Lu
Meiqi Shi
Xuhong Wang
Wensheng Hu
Claudia Langenberg
Jian Yang
Yu-ming Chen
Tiannan Guo
Ju-Sheng Zheng
author_sort Fengzhe Xu
collection DOAJ
description Integrating genetic information with circulating proteomics can help understand mechanisms of disease. Here, the authors conduct genome-wide association analyses of the serum proteome in 2,958 Han Chinese individuals, uncovering proteins which may contribute to ancestry differences in cardiometabolic disease susceptibility.
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spelling doaj.art-251065f86fd649ae998a9091c8fc8b462023-03-22T11:46:35ZengNature PortfolioNature Communications2041-17232023-02-0114111210.1038/s41467-023-36491-3Genome-wide genotype-serum proteome mapping provides insights into the cross-ancestry differences in cardiometabolic disease susceptibilityFengzhe Xu0Evan Yi-Wen Yu1Xue Cai2Liang Yue3Li-peng Jing4Xinxiu Liang5Yuanqing Fu6Zelei Miao7Min Yang8Menglei Shuai9Wanglong Gou10Congmei Xiao11Zhangzhi Xue12Yuting Xie13Sainan Li14Sha Lu15Meiqi Shi16Xuhong Wang17Wensheng Hu18Claudia Langenberg19Jian Yang20Yu-ming Chen21Tiannan Guo22Ju-Sheng Zheng23School of Life Sciences, Fudan UniversityKey Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology & Biostatistics, School of Public Health, Southeast UniversitySchool of Life Sciences, Westlake UniversitySchool of Life Sciences, Westlake UniversityGuangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen UniversitySchool of Life Sciences, Westlake UniversitySchool of Life Sciences, Westlake UniversitySchool of Life Sciences, Westlake UniversitySchool of Life Sciences, Westlake UniversitySchool of Life Sciences, Westlake UniversitySchool of Life Sciences, Westlake UniversitySchool of Life Sciences, Westlake UniversitySchool of Life Sciences, Westlake UniversitySchool of Life Sciences, Westlake UniversitySchool of Life Sciences, Westlake UniversityHangzhou Women’s Hospital (Hangzhou Maternity and Child Health Care Hospital)Hangzhou Women’s Hospital (Hangzhou Maternity and Child Health Care Hospital)Hangzhou Women’s Hospital (Hangzhou Maternity and Child Health Care Hospital)Hangzhou Women’s Hospital (Hangzhou Maternity and Child Health Care Hospital)MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical MedicineSchool of Life Sciences, Westlake UniversityGuangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen UniversitySchool of Life Sciences, Westlake UniversitySchool of Life Sciences, Westlake UniversityIntegrating genetic information with circulating proteomics can help understand mechanisms of disease. Here, the authors conduct genome-wide association analyses of the serum proteome in 2,958 Han Chinese individuals, uncovering proteins which may contribute to ancestry differences in cardiometabolic disease susceptibility.https://doi.org/10.1038/s41467-023-36491-3
spellingShingle Fengzhe Xu
Evan Yi-Wen Yu
Xue Cai
Liang Yue
Li-peng Jing
Xinxiu Liang
Yuanqing Fu
Zelei Miao
Min Yang
Menglei Shuai
Wanglong Gou
Congmei Xiao
Zhangzhi Xue
Yuting Xie
Sainan Li
Sha Lu
Meiqi Shi
Xuhong Wang
Wensheng Hu
Claudia Langenberg
Jian Yang
Yu-ming Chen
Tiannan Guo
Ju-Sheng Zheng
Genome-wide genotype-serum proteome mapping provides insights into the cross-ancestry differences in cardiometabolic disease susceptibility
Nature Communications
title Genome-wide genotype-serum proteome mapping provides insights into the cross-ancestry differences in cardiometabolic disease susceptibility
title_full Genome-wide genotype-serum proteome mapping provides insights into the cross-ancestry differences in cardiometabolic disease susceptibility
title_fullStr Genome-wide genotype-serum proteome mapping provides insights into the cross-ancestry differences in cardiometabolic disease susceptibility
title_full_unstemmed Genome-wide genotype-serum proteome mapping provides insights into the cross-ancestry differences in cardiometabolic disease susceptibility
title_short Genome-wide genotype-serum proteome mapping provides insights into the cross-ancestry differences in cardiometabolic disease susceptibility
title_sort genome wide genotype serum proteome mapping provides insights into the cross ancestry differences in cardiometabolic disease susceptibility
url https://doi.org/10.1038/s41467-023-36491-3
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