LSMM: a statistical approach to integrating functional annotations with genome-wide association studies

Abstract Motivation Thousands of risk variants underlying complex phenotypes (quantitative traits and diseases) have been identified in genome-wide association studies (GWAS). However, there are still two major challenges towards deepening our understanding of the genetic architectures of complex ph...

Full description

Bibliographic Details

Published in:	Bioinformatics Vol. 34; no. 16; pp. 2788 - 2796
Main Authors:	Ming, Jingsi, Dai, Mingwei, Cai, Mingxuan, Wan, Xiang, Liu, Jin, Yang, Can
Format:	Journal Article
Language:	English
Published:	England Oxford University Press 15.08.2018
ISSN:	1367-4803, 1367-4811, 1460-2059, 1367-4811
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!