The ChinaMAP analytics of deep whole genome sequences in 10,588 individuals

Metabolic diseases are the most common and rapidly growing health issues worldwide. The massive population-based human genetics is crucial for the precise prevention and intervention of metabolic disorders. The China Metabolic Analytics Project (ChinaMAP) is based on cohort studies across diverse re...

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Published inCell research Vol. 30; no. 9; pp. 717 - 731
Main Authors Cao, Yanan, Li, Lin, Xu, Min, Feng, Zhimin, Sun, Xiaohui, Lu, Jieli, Xu, Yu, Du, Peina, Wang, Tiange, Hu, Ruying, Ye, Zhen, Shi, Lixin, Tang, Xulei, Yan, Li, Gao, Zhengnan, Chen, Gang, Zhang, Yinfei, Chen, Lulu, Ning, Guang, Bi, Yufang, Wang, Weiqing
Format Journal Article
LanguageEnglish
Published Singapore Springer Singapore 01.09.2020
Nature Publishing Group
Subjects
45
45/23
45/43
631/1647/2217/457
631/1647/48
Alleles
Base Sequence
Biomedical and Life Sciences
Blood Glucose - metabolism
Body Mass Index
Cell Biology
China
Databases, Genetic
Drug metabolism
Frequency spectrum
Gene Frequency - genetics
Gene sequencing
Genetic Variation
Genetics
Genetics, Population
Genome, Human
Genomes
Genotype
Humans
Life Sciences
Metabolic disorders
Metabolism
Minority & ethnic groups
Multifactorial Inheritance - genetics
Nutrition
Pharmaceutical Preparations - metabolism
Population genetics
Population structure
Risk Factors
Whole Genome Sequencing
China
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Abstract Metabolic diseases are the most common and rapidly growing health issues worldwide. The massive population-based human genetics is crucial for the precise prevention and intervention of metabolic disorders. The China Metabolic Analytics Project (ChinaMAP) is based on cohort studies across diverse regions and ethnic groups with metabolic phenotypic data in China. Here, we describe the centralized analysis of the deep whole genome sequencing data and the genetic bases of metabolic traits in 10,588 individuals from the ChinaMAP. The frequency spectrum of variants, population structure, pathogenic variants and novel genomic characteristics were analyzed. The individual genetic evaluations of Mendelian diseases, nutrition and drug metabolism, and traits of blood glucose and BMI were integrated. Our study establishes a large-scale and deep resource for the genetics of East Asians and provides opportunities for novel genetic discoveries of metabolic characteristics and disorders.
AbstractList Metabolic diseases are the most common and rapidly growing health issues worldwide. The massive population-based human genetics is crucial for the precise prevention and intervention of metabolic disorders. The China Metabolic Analytics Project (ChinaMAP) is based on cohort studies across diverse regions and ethnic groups with metabolic phenotypic data in China. Here, we describe the centralized analysis of the deep whole genome sequencing data and the genetic bases of metabolic traits in 10,588 individuals from the ChinaMAP. The frequency spectrum of variants, population structure, pathogenic variants and novel genomic characteristics were analyzed. The individual genetic evaluations of Mendelian diseases, nutrition and drug metabolism, and traits of blood glucose and BMI were integrated. Our study establishes a large-scale and deep resource for the genetics of East Asians and provides opportunities for novel genetic discoveries of metabolic characteristics and disorders.Metabolic diseases are the most common and rapidly growing health issues worldwide. The massive population-based human genetics is crucial for the precise prevention and intervention of metabolic disorders. The China Metabolic Analytics Project (ChinaMAP) is based on cohort studies across diverse regions and ethnic groups with metabolic phenotypic data in China. Here, we describe the centralized analysis of the deep whole genome sequencing data and the genetic bases of metabolic traits in 10,588 individuals from the ChinaMAP. The frequency spectrum of variants, population structure, pathogenic variants and novel genomic characteristics were analyzed. The individual genetic evaluations of Mendelian diseases, nutrition and drug metabolism, and traits of blood glucose and BMI were integrated. Our study establishes a large-scale and deep resource for the genetics of East Asians and provides opportunities for novel genetic discoveries of metabolic characteristics and disorders.
Metabolic diseases are the most common and rapidly growing health issues worldwide. The massive population-based human genetics is crucial for the precise prevention and intervention of metabolic disorders. The China Metabolic Analytics Project (ChinaMAP) is based on cohort studies across diverse regions and ethnic groups with metabolic phenotypic data in China. Here, we describe the centralized analysis of the deep whole genome sequencing data and the genetic bases of metabolic traits in 10,588 individuals from the ChinaMAP. The frequency spectrum of variants, population structure, pathogenic variants and novel genomic characteristics were analyzed. The individual genetic evaluations of Mendelian diseases, nutrition and drug metabolism, and traits of blood glucose and BMI were integrated. Our study establishes a large-scale and deep resource for the genetics of East Asians and provides opportunities for novel genetic discoveries of metabolic characteristics and disorders.
Author Li, Lin
Xu, Yu
Tang, Xulei
Cao, Yanan
Yan, Li
Xu, Min
Sun, Xiaohui
Lu, Jieli
Hu, Ruying
Bi, Yufang
Wang, Weiqing
Wang, Tiange
Chen, Lulu
Gao, Zhengnan
Chen, Gang
Ye, Zhen
Du, Peina
Feng, Zhimin
Zhang, Yinfei
Shi, Lixin
Ning, Guang
Author_xml – sequence: 1
  givenname: Yanan
  orcidid: 0000-0002-3848-7040
  surname: Cao
  fullname: Cao, Yanan
  organization: National Clinical Research Centre for Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, National Research Center for Translational Medicine, National Key Scientific Infrastructure for Translational Medicine (Shanghai), Shanghai Jiao Tong University
– sequence: 2
  givenname: Lin
  surname: Li
  fullname: Li, Lin
  organization: National Clinical Research Centre for Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, National Research Center for Translational Medicine, National Key Scientific Infrastructure for Translational Medicine (Shanghai), Shanghai Jiao Tong University
– sequence: 3
  givenname: Min
  orcidid: 0000-0003-3930-8718
  surname: Xu
  fullname: Xu, Min
  organization: National Clinical Research Centre for Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
– sequence: 4
  givenname: Zhimin
  surname: Feng
  fullname: Feng, Zhimin
  organization: National Clinical Research Centre for Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
– sequence: 5
  givenname: Xiaohui
  surname: Sun
  fullname: Sun, Xiaohui
  organization: National Clinical Research Centre for Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
– sequence: 6
  givenname: Jieli
  surname: Lu
  fullname: Lu, Jieli
  organization: National Clinical Research Centre for Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
– sequence: 7
  givenname: Yu
  surname: Xu
  fullname: Xu, Yu
  organization: National Clinical Research Centre for Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
– sequence: 8
  givenname: Peina
  surname: Du
  fullname: Du, Peina
  organization: National Clinical Research Centre for Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
– sequence: 9
  givenname: Tiange
  surname: Wang
  fullname: Wang, Tiange
  organization: National Clinical Research Centre for Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
– sequence: 10
  givenname: Ruying
  surname: Hu
  fullname: Hu, Ruying
  organization: Zhejiang Provincial Center for Disease Control and Prevention
– sequence: 11
  givenname: Zhen
  surname: Ye
  fullname: Ye, Zhen
  organization: Zhejiang Provincial Center for Disease Control and Prevention
– sequence: 12
  givenname: Lixin
  surname: Shi
  fullname: Shi, Lixin
  organization: Affiliated Hospital of Guiyang Medical College
– sequence: 13
  givenname: Xulei
  surname: Tang
  fullname: Tang, Xulei
  organization: The First Hospital of Lanzhou University
– sequence: 14
  givenname: Li
  surname: Yan
  fullname: Yan, Li
  organization: Sun Yat-sen Memorial Hospital, Sun Yat-sen University
– sequence: 15
  givenname: Zhengnan
  surname: Gao
  fullname: Gao, Zhengnan
  organization: Dalian Municipal Central Hospital
– sequence: 16
  givenname: Gang
  surname: Chen
  fullname: Chen, Gang
  organization: Fujian Provincial Hospital, Fujian Medical University
– sequence: 17
  givenname: Yinfei
  surname: Zhang
  fullname: Zhang, Yinfei
  organization: Central Hospital of Shanghai Jiading District
– sequence: 18
  givenname: Lulu
  surname: Chen
  fullname: Chen, Lulu
  organization: Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
– sequence: 19
  givenname: Guang
  surname: Ning
  fullname: Ning, Guang
  email: gning@sibs.ac.cn
  organization: National Clinical Research Centre for Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
– sequence: 20
  givenname: Yufang
  surname: Bi
  fullname: Bi, Yufang
  email: byf10784@rjh.com.cn
  organization: National Clinical Research Centre for Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
– sequence: 21
  givenname: Weiqing
  surname: Wang
  fullname: Wang, Weiqing
  email: wqingw61@163.com
  organization: National Clinical Research Centre for Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
BackLink https://www.ncbi.nlm.nih.gov/pubmed/32355288$$D View this record in MEDLINE/PubMed
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Base Sequence
Biomedical and Life Sciences
Blood Glucose - metabolism
Body Mass Index
Cell Biology
China
Databases, Genetic
Drug metabolism
Frequency spectrum
Gene Frequency - genetics
Gene sequencing
Genetic Variation
Genetics
Genetics, Population
Genome, Human
Genomes
Genotype
Humans
Life Sciences
Metabolic disorders
Metabolism
Minority & ethnic groups
Multifactorial Inheritance - genetics
Nutrition
Pharmaceutical Preparations - metabolism
Population genetics
Population structure
Risk Factors
Whole Genome Sequencing
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Title The ChinaMAP analytics of deep whole genome sequences in 10,588 individuals
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