An adaptive gene-level association test for pedigree data

An adaptive gene-level association test for pedigree data

Abstract Background We propose a gene-level association test that accounts for individual relatedness and population structures in pedigree data in the framework of linear mixed models (LMMs). Our method data-adaptively combines the results across a class of score-based tests, only requiring fitting...

Full description

Bibliographic Details
Main Authors: Jun Young Park, Chong Wu, Wei Pan
Format: Article
Language:English
Published: BMC 2018-09-01
Series:BMC Genetics
Subjects:
aSPU
GWAS
HDL
Linear mixed models
Score test
Online Access:http://link.springer.com/article/10.1186/s12863-018-0639-2

Internet

http://link.springer.com/article/10.1186/s12863-018-0639-2

Similar Items