2020
DOI: 10.1038/s41422-020-0322-9
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The ChinaMAP analytics of deep whole genome sequences in 10,588 individuals

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 fr… Show more

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Cited by 182 publications
(157 citation statements)
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“…In an attempt to better understand the susceptibility of different populations to infection by SARS-CoV-2, we gathered data on ACE2 missense variants from different projects and databases that aggregate allele frequencies (AF). These projects and databases include Single Nucleotide Polymorphism Database (dbSNP) [ 8 ], 1000 genomes project phase 3 (1KGP3) [ 9 ], Allele Frequency Aggregator (ALFA project) a , Exome Aggregation Consortium (ExAC) [ 10 ], genome Aggregation Database (gnomAD) [ 11 ], GO exome sequencing project (ESP) b , Trans-Omics for Precision Medicine (TopMed) [ 12 ], in addition to a recent study reporting data from the China Metabolic Analytics Project (ChinaMAP) and other populations [ 13 , 14 ].…”
Section: Resultsmentioning
confidence: 99%
“…In an attempt to better understand the susceptibility of different populations to infection by SARS-CoV-2, we gathered data on ACE2 missense variants from different projects and databases that aggregate allele frequencies (AF). These projects and databases include Single Nucleotide Polymorphism Database (dbSNP) [ 8 ], 1000 genomes project phase 3 (1KGP3) [ 9 ], Allele Frequency Aggregator (ALFA project) a , Exome Aggregation Consortium (ExAC) [ 10 ], genome Aggregation Database (gnomAD) [ 11 ], GO exome sequencing project (ESP) b , Trans-Omics for Precision Medicine (TopMed) [ 12 ], in addition to a recent study reporting data from the China Metabolic Analytics Project (ChinaMAP) and other populations [ 13 , 14 ].…”
Section: Resultsmentioning
confidence: 99%
“…Familial segregation demonstrated a de novo mutation. This variant was not found in gnomAD, mbiobank [32], ClinVar or the Human Gene Mutation Database (HGMD) (2019.4) or included in the literature on the comprehensive pathogenic mutation spectrum [33]. According to the ACMG guidelines, the variant is classified as pathogenic considering PVS1, PM2, and PM6 [34].…”
Section: Discussionmentioning
confidence: 99%
“…Reference control data were obtained from GnomAD (https://gnomad.broadinstitute.org/), 22 which contained exome or genome sequencing data from 141 456 unrelated individuals and mBiobank (http://www.mbiobank.com/), 23 which contained genome sequencing data of 10 588 samples from the China Metabolic Analytics Project (ChinaMAP). The low‐quality variants in the GnomAD were excluded, and we only included the East Asian populations (N = 9977) in the GnomAD considering the ethnic specificity.…”
Section: Methodsmentioning
confidence: 99%