Improving power of genome-wide association studies with weighted false discovery rate control and prioritized subset analysis

PLoS ONE

Volumn 7, Issue 4, 2012, Pages

  Lin, Wan Yu ^a,b   Lee, Wen Chung ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; DISEASE PREDISPOSITION; GENE FREQUENCY; GENETIC ASSOCIATION; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; PRIORITIZED SUBSET ANALYSIS; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; WEIGHTED FALSE DISCOVERY RATE CONTROL; BIOLOGICAL MODEL; CASE CONTROL STUDY; COMPARATIVE STUDY; COMPUTER SIMULATION; GENETIC PREDISPOSITION; GENETICS; GENOMICS; HUMAN GENOME; LABORATORY DIAGNOSIS; METHODOLOGY;

CASE-CONTROL STUDIES; COMPUTER SIMULATION; DIABETES MELLITUS, TYPE 1; FALSE POSITIVE REACTIONS; GENETIC PREDISPOSITION TO DISEASE; GENOME, HUMAN; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HUMANS; MODELS, GENETIC; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84859502317     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0033716     Document Type: Article

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