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

被引：0
|
作者：
Hua Tang [1 ]
Zihuai He [2 ,3 ]
机构：
[1] Department of Genetics, Stanford University
[2] Department of Neurology and Neurological Sciences, Stanford University
[3] Quantitative Sciences Unit, Department of Medicine, Stanford
来源：
Quantitative Biology | 2021年 / 9卷 / 02期
关键词：
D O I：
暂无
中图分类号：
R394 [医学遗传学];
学科分类号：
0710 ; 071007 ;
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.
引用
收藏
页码：168 / 184
页数：17
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