Effectively Identifying eQTLs from Multiple Tissues by Combining Mixed Model and Meta-analytic Approaches

PLoS Genetics

Volumn 9, Issue 6, 2013, Pages

  Sul, Jae Hoon ^a   Han, Buhm ^b,c   Ye, Chun ^c   Choi, Ted ^d   Eskin, Eleazar ^a,e  

^a University of California   (United States)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

^c BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^d Predictive Science Inc   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ANIMAL TISSUE; ARTICLE; BONE MARROW; BRAIN CORTEX; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; EFFECT SIZE; FEMALE; GENE EXPRESSION; HEART; HIPPOCAMPUS; INTERMETHOD COMPARISON; KIDNEY; LIVER; MALE; MOUSE; NONHUMAN; PANCREAS; PREDICTION; PROCESS DEVELOPMENT; QUANTITATIVE TRAIT LOCUS; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM; SPLEEN; STATISTICAL MODEL; STOMACH; WHITE ADIPOSE TISSUE;

ANIMALS; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENOME; GENOME-WIDE ASSOCIATION STUDY; MICE; MODELS, THEORETICAL; ORGAN SPECIFICITY; QUANTITATIVE TRAIT LOCI;

EID: 84879653976     PISSN: 15537390     EISSN: 15537404     Source Type: Journal    
DOI: 10.1371/journal.pgen.1003491     Document Type: Article

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