Evaluating the effective numbers of independent tests and significant p-value thresholds in commercial genotyping arrays and public imputation reference datasets-Reference-Cited by-同舟云学术

Evaluating the effective numbers of independent tests and significant p-value thresholds in commercial genotyping arrays and public imputation reference datasets

Published:2011-12-06 Issue:5 Volume:131 Page:747-756
ISSN:0340-6717
Container-title:Human Genetics
language:en
Short-container-title:Hum Genet

Author:

Li Miao-Xin,Yeung Juilian M. Y.,Cherny Stacey S.,Sham Pak C.

Publisher

Springer Science and Business Media LLC

Subject

Genetics (clinical),Genetics

Link

http://www.springerlink.com/index/pdf/10.1007/s00439-011-1118-2

Reference31 articles.

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2. Barrett JC, Cardon LR (2006) Evaluating coverage of genome-wide association studies. Nat Genet 38(6):659–662. doi: 10.1038/ng1801

3. Cheverud JM (2001) A simple correction for multiple comparisons in interval mapping genome scans. Heredity 87(Pt 1):52–58 (901[pii])

4. Conneely KN, Boehnke M (2007) So many correlated tests, so little time! Rapid adjustment of P values for multiple correlated tests. Am J Hum Genet 81 (6). doi: 10.1086/522036

5. Dudbridge F, Gusnanto A (2008) Estimation of significance thresholds for genomewide association scans. Genet Epidemiol 32(3):227–234. doi: 10.1002/gepi.20297

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