Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies

False positives in a Genome-Wide Association Study (GWAS) can be effectively controlled by a fixed effect and random effect Mixed Linear Model (MLM) that incorporates population structure and kinship among individuals to adjust association tests on markers; however, the adjustment also compromises t...

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Bibliographic Details
Published in:	PLoS genetics Vol. 12; no. 2; p. e1005767
Main Authors:	Liu, Xiaolei, Huang, Meng, Fan, Bin, Buckler, Edward S., Zhang, Zhiwu
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 01.02.2016 Public Library of Science (PLoS)
Subjects:	Arabidopsis - genetics Big Data Biology and Life Sciences Datasets Flowers - genetics Flowers - physiology Genes, Plant Genetic Loci Genome-wide association studies Genome-Wide Association Study Genomes Genotype & phenotype Humans Linear models (Statistics) Lung cancer Medicine and Health Sciences Models, Genetic Physical Sciences Population Power Quantitative Trait, Heritable Research and Analysis Methods Software Species Specificity Statistical methods Studies
ISSN:	1553-7404, 1553-7390, 1553-7404
Online Access:	Get full text
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