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

• Published in: Cell 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
• Language: English
• 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

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...