Inflated type I error rates when using aggregation methods to analyze rare variants in the 1000 Genomes Project exon sequencing data in unrelated individuals: summary results from Group 7 at Genetic Analysis Workshop 17-Reference-Cited by-同舟云学术

Inflated type I error rates when using aggregation methods to analyze rare variants in the 1000 Genomes Project exon sequencing data in unrelated individuals: summary results from Group 7 at Genetic Analysis Workshop 17

Published:2011 Issue:S1 Volume:35 Page:S56-S60
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genet. Epidemiol.

Author:

Tintle Nathan,Aschard Hugues,Hu Inchi,Nock Nora,Wang Haitian,Pugh Elizabeth

Publisher

Wiley

Subject

Genetics(clinical),Epidemiology

Reference21 articles.

1. Genetic Analysis Workshop 17 mini-exome simulation;Almasy;BMC Proc,2011

2. Combining effects from rare and common genetic variants in an exome-wide association study of sequence data;Aschard;BMC Proc,2011

3. Statistical analysis of rare sequence variants: an overview of collapsing methods;Dering;Genet Epidemiol,2011

4. Hindorff LA Junkins HA Hall PN Mehta JP Manolio TA. http://www.genome.gov/gwastudies 2011

5. Pathway-based joint effects analysis of rare genetic variants using Genetic Analysis Workshop 17 exon sequence data;Hu;BMC Proc,2011

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