Statistical power and significance testing in large-scale genetic studies.

Sham, Pak C; Purcell, Shaun M

Sham, Pak C; Purcell, Shaun M.

Affiliation

Sham PC; Centre for Genomic Sciences, Jockey Club Building for Interdisciplinary Research; State Key Laboratory of Brain and Cognitive Sciences, and Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Purcell SM; 1] Center for Statistical Genetics, Icahn School of Medicine at Mount Sinai, New York 10029-6574, USA. [2] Center for Human Genetic Research, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA.

Nat Rev Genet ; 15(5): 335-46, 2014 May.

Article in En | MEDLINE | ID: mdl-24739678

Subject(s)

Genetic Predisposition to Disease/genetics; Genetic Testing/statistics & numerical data; Genome-Wide Association Study/statistics & numerical data; Case-Control Studies; Data Interpretation, Statistical; Gene Frequency; Genome-Wide Association Study/standards; Genotype; Humans; Polymorphism, Single Nucleotide; Sequence Analysis, DNA/methods; Sequence Analysis, DNA/statistics & numerical data

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Full text: 1 Database: MEDLINE Main subject: Genetic Testing / Genetic Predisposition to Disease / Genome-Wide Association Study Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Nat Rev Genet Journal subject: GENETICA Year: 2014 Type: Article Affiliation country: China

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