Improving power for robust trans-ethnic meta-analysis of rare and low-frequency variants with a partitioning approach

European Journal of Human Genetics

Volumn 23, Issue 2, 2015, Pages 238-244

  Zakharov, Sergii ^a,b   Wang, Xu ^a   Liu, Jianjun ^b   Teo, Yik Ying ^a,b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b GENOME INSTITUTE OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; EFFECT SIZE; GENE FREQUENCY; GENETIC ASSOCIATION; GENETIC VARIABILITY; HAPLOTYPE; HERITABILITY; HUMAN; HUMAN GENETICS; META ANALYSIS; NULL HYPOTHESIS; POPULATION GENETICS; POPULATION GROUP; PRIORITY JOURNAL; RESPONSIBILITY; SAMPLE SIZE; SIMULATION; ETHNOLOGY; GENETIC DISORDER; GENETICS; GENOME-WIDE ASSOCIATION STUDY; META ANALYSIS (TOPIC); MUTATION RATE; PROCEDURES; RARE DISEASE;

ALGORITHMS; GENETIC DISEASES, INBORN; GENOME-WIDE ASSOCIATION STUDY; HUMANS; META-ANALYSIS AS TOPIC; MUTATION RATE; RARE DISEASES;

EID: 84921366829     PISSN: 10184813     EISSN: 14765438     Source Type: Journal    
DOI: 10.1038/ejhg.2014.78     Document Type: Article

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