Resetting the bar: Statistical significance in whole-genome sequencing-based association studies of global populations

Genetic Epidemiology

Volumn 41, Issue 2, 2017, Pages 145-151

  Pulit, Sara L ^a   de With, Sera A J ^a   de Bakker, Paul I W ^a  

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

Author keywords

association studies; complex traits; genetics; multiple test correction

Indexed keywords

ARTICLE; ASIAN; CONTROLLED STUDY; EUROPEAN; FEASIBILITY STUDY; GENE FREQUENCY; GENE SEQUENCE; GENETIC ASSOCIATION; GENETIC RISK; GENETIC VARIATION; GENOTYPE PHENOTYPE CORRELATION; HUMAN; MULTIRACIAL PERSON; POPULATION RESEARCH; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; SAMPLE SIZE; SINGLE NUCLEOTIDE POLYMORPHISM; ETHNIC GROUP; GENETICS; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; GLOBAL HEALTH; HIGH THROUGHPUT SEQUENCING; HUMAN GENOME; METAGENOMICS; PROCEDURES; STATISTICS AND NUMERICAL DATA;

ETHNIC GROUPS; GENOME, HUMAN; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; GLOBAL HEALTH; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; METAGENOMICS; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 85007000400     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.22032     Document Type: Article

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