首页 > 定量生物学（英文版） > Advances and challenges in quantitative delineation of the genetic architecture of complex traits

Advances and challenges in quantitative delineation of the genetic architecture of complex traits

导出学术成果认领

摘要Background:Genome-wide association studies(GWAS)have been widely adopted in studies of human complex traits and diseases.Results:This review surveys areas of active research:quantifying and partitioning trait heritability,fine mapping functional variants and integrative analysis,genetic risk prediction of phenotypes,and the analysis of sequencing studies that have identified millions of rare variants.Current challenges and opportunities are highlighted.Conclusion:GWAS have fundamentally transformed the field of human complex trait genetics.Novel statistical and computational methods have expanded the scope of GWAS and have provided valuable insights on the genetic architecture underlying complex phenotypes.

作者 Hua Tang ^[1] Zihuai He ^[2] 学术成果认领

作者单位 Department of Genetics,Stanford University,Stanford,CA 94305,USA ^[1] Department of Neurology and Neurological Sciences,Stanford University,Stanford,CA 94305,USA;Quantitative Sciences Unit,Department of Medicine,Stanford University,Stanford,CA 94305,USA ^[2]

关键词 genome-wide association study heritability rare variants biobank colocalization eQTL polygenic risk scores transcriptome-wide association study

栏目名称

REVIEWS

发布时间 2021-08-25（万方平台首次上网日期，不代表论文的发表时间）

基金项目

This work is supported by NIH R35GM127063（HT)and NIH AG066206(ZH）

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交