Association analysis using next-generation sequence data from publicly available control groups: The robust variance score statistic

Bioinformatics

Volumn 30, Issue 15, 2014, Pages 2179-2188

  Derkach, Andriy ^a   Chiang, Theodore ^b   Gong, Jiafen ^b   Addis, Laura ^c   Dobbins, Sara ^d   Tomlinson, Ian ^e   Houlston, Richard ^d   Pal, Deb K ^c   Strug, Lisa J ^a,b  

^a UNIVERSITY OF TORONTO   (Canada)

^b HOSPITAL FOR SICK CHILDREN RESEARCH INSTITUTE   (Canada)

^c KING'S COLLEGE LONDON   (United Kingdom)

^d INSTITUTE OF CANCER RESEARCH   (United Kingdom)

^e UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANALYSIS OF VARIANCE; ARTICLE; BIOLOGY; CASE CONTROL STUDY; CHILD; CONTROL GROUP; GENE FREQUENCY; GENETICS; GENOTYPE; HIGH THROUGHPUT SEQUENCING; HUMAN; HUMAN GENOME PROJECT; METHODOLOGY; ROLANDIC EPILEPSY; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; ANALYSIS OF VARIANCE; CASE-CONTROL STUDIES; CHILD; COMPUTATIONAL BIOLOGY; CONTROL GROUPS; DATA INTERPRETATION, STATISTICAL; EPILEPSY, ROLANDIC; GENE FREQUENCY; GENOTYPE; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMAN GENOME PROJECT; HUMANS; LIKELIHOOD FUNCTIONS; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84904966115     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu196     Document Type: Article

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