Ranking of genome-wide association scan signals by different measures

International Journal of Epidemiology

Volumn 38, Issue 5, 2009, Pages 1364-1373

  Strömberg, Ulf ^a   Björk, Jonas ^a   Vineis, Paolo ^b   Broberg, Karin ^a   Zeggini, Eleftheria ^c,d  

^a LUND UNIVERSITY HOSPITAL   (Sweden)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF OXFORD   (United Kingdom)

^d WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

Author keywords

Bayes factor; Effect size; Likelihood ratio; Single nucleotide polymorphism; Statistical power; Statistics

Indexed keywords

BAYESIAN ANALYSIS; DIABETES; GENOME; MAXIMUM LIKELIHOOD ANALYSIS; POLYMORPHISM; PROBABILITY; RANKING; SIZE EFFECT;

ARTICLE; BAYES THEOREM; BIOSTATISTICS; CONTROLLED STUDY; EFFECT SIZE; FREQUENTIST FACTOR; GENE FREQUENCY; GENETIC ASSOCIATION; GENETIC CORRELATION; GENETIC SELECTION; GENETIC VARIABILITY; GENOME ANALYSIS; HUMAN; HUMAN GENOME; LIKELIHOOD RATIO; MAJOR CLINICAL STUDY; MATHEMATICAL ANALYSIS; NON INSULIN DEPENDENT DIABETES MELLITUS; PRIORITY JOURNAL; PROBABILITY; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL PARAMETERS; STATISTICAL SIGNIFICANCE;

BAYES THEOREM; DIABETES MELLITUS, TYPE 2; GENETIC PREDISPOSITION TO DISEASE; GENOME, HUMAN; GENOME-WIDE ASSOCIATION STUDY; HUMANS; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 70349860293     PISSN: 03005771     EISSN: 14643685     Source Type: Journal    
DOI: 10.1093/ije/dyp285     Document Type: Article

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