Genome-wide Epigenetic Data Facilitate Understanding of Disease Susceptibility Association Studies

被引:32
作者
Hardison, Ross C. [1 ,2 ]
机构
[1] Penn State Univ, Dept Biochem & Mol Biol, University Pk, PA 16801 USA
[2] Penn State Univ, Ctr Comparat Genom & Bioinformat, Huck Inst Life Sci, University Pk, PA 16801 USA
基金
美国国家卫生研究院;
关键词
LOCUS ACTIVATION REGION; MENDELIAN-INHERITANCE; HYPERSENSITIVE SITES; CHROMATIN-STRUCTURE; GLOBIN GENE; EXPRESSION; TRANSCRIPTION; RS6983267; VARIANTS; COMMON;
D O I
10.1074/jbc.R112.352427
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Complex traits such as susceptibility to diseases are determined in part by variants at multiple genetic loci. Genome-wide association studies can identify these loci, but most phenotype-associated variants lie distal to protein-coding regions and are likely involved in regulating gene expression. Understanding how these genetic variants affect complex traits depends on the ability to predict and test the function of the genomic elements harboring them. Community efforts such as the ENCODE Project provide a wealth of data about epigenetic features associated with gene regulation. These data enable the prediction of testable functions for many phenotype-associated variants.
引用
收藏
页码:30932 / 30940
页数:9
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