A knowledge-based weighting framework to boost the power of genome-wide association studies

PLoS ONE

Volumn 5, Issue 12, 2010, Pages

  Li, Miao Xin ^a   Sham, Pak C ^a,b   Cherny, Stacey S ^a,b   Song, You Qiang ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER DISEASE; ARTICLE; BIOINFORMATICS; COMPUTER SIMULATION; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; DNA REPLICATION; EXTENSION GENE; GENE FUNCTION; GENE LINKAGE DISEQUILIBRIUM; GENETIC ASSOCIATION; GENETIC MODEL; GENETIC RISK; HUMAN; HYPOTHESIS; INTERMETHOD COMPARISON; KNOWLEDGE BASE; POWER ANALYSIS; SAMPLE SIZE; SINGLE NUCLEOTIDE POLYMORPHISM; BINDING SITE; BIOLOGICAL MODEL; BIOLOGY; COMPUTER PROGRAM; GENETIC PREDISPOSITION; GENETICS; GENOMICS; HUMAN GENOME; METABOLISM; METHODOLOGY; STATISTICAL MODEL;

MICRORNA;

ALZHEIMER DISEASE; BINDING SITES; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; GENETIC PREDISPOSITION TO DISEASE; GENOME, HUMAN; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HUMANS; MICRORNAS; MODELS, GENETIC; MODELS, STATISTICAL; POLYMORPHISM, SINGLE NUCLEOTIDE; SOFTWARE;

EID: 79251484337     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0014480     Document Type: Article

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