Adaptive Fisher method detects dense and sparse signals in association analysis of SNV sets

Adaptive Fisher method detects dense and sparse signals in association analysis of SNV sets

Abstract Background With the development of next generation sequencing (NGS) technology and genotype imputation methods, statistical methods have been proposed to test a set of genomic variants together to detect if any of them is associated with the phenotype or disease. In practice, within the set...

Full description

Bibliographic Details
Main Authors: Xiaoyu Cai, Lo-Bin Chang, Jordan Potter, Chi Song
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Medical Genomics
Subjects:
Genome-wide association study
Adaptive fisher
Rare variants
Common variants
Dense signal
Sparse signal
Online Access:http://link.springer.com/article/10.1186/s12920-020-0684-3

Internet

http://link.springer.com/article/10.1186/s12920-020-0684-3

Similar Items