Rare-variant association analysis: Study designs and statistical tests

American Journal of Human Genetics

Volumn 95, Issue 1, 2014, Pages 5-23

  Lee, Seunggeung ^a   Abecasis, Gonçalo R ^a   Boehnke, Michael ^a   Lin, Xihong ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; BOOTSTRAPPING; COST EFFECTIVENESS ANALYSIS; DATA PROCESSING; EFFECT SIZE; EXOME; EXOME SEQUENCING; FOLLOW UP; GENE LINKAGE DISEQUILIBRIUM; GENE LOCUS; GENE SEQUENCE; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC MODEL; GENETIC VARIABILITY; GENOTYPE; HERITABILITY; HUMAN; HYPERTRIGLYCERIDEMIA; LOW DEPTH WGS; META ANALYSIS; MICROARRAY ANALYSIS; NON INSULIN DEPENDENT DIABETES MELLITUS; PHENOTYPE; PRACTICE GUIDELINE; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROBABILITY; QUALITY CONTROL; REVIEW; SEQUENCE ANALYSIS; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; STUDY DESIGN; VARIANCE;

GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HUMANS;

EID: 84904006087     PISSN: 00029297     EISSN: 15376605     Source Type: Journal    
DOI: 10.1016/j.ajhg.2014.06.009     Document Type: Review

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