Exploration and comparison of methods for combining population- and family-based genetic association using the Genetic Analysis Workshop 17 mini-exome

David W Fardo; Anthony R Druen; Jinze Liu; Lucia Mirea; Claire Infante-Rivard; Patrick Breheny

doi:10.1186/1753-6561-5-S9-S28

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Exploration and comparison of methods for combining population- and family-based genetic association using the Genetic Analysis Workshop 17 mini-exome

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Exploration and comparison of methods for combining population- and family-based genetic association using the Genetic Analysis Workshop 17 mini-exome

David W Fardo, Anthony R Druen, Jinze Liu, Lucia Mirea, Claire Infante-Rivard and Patrick Breheny

BMC proceedings, Vol.5 Suppl 9(Suppl 9), pp.S28-S28

11/29/2011

DOI: 10.1186/1753-6561-5-S9-S28

PMCID: PMC3287863

PMID: 22373349

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Abstract

We examine the performance of various methods for combining family- and population-based genetic association data. Several approaches have been proposed for situations in which information is collected from both a subset of unrelated subjects and a subset of family members. Analyzing these samples separately is known to be inefficient, and it is important to determine the scenarios for which differing methods perform well. Others have investigated this question; however, no extensive simulations have been conducted, nor have these methods been applied to mini-exome-style data such as that provided by Genetic Analysis Workshop 17. We quantify the empirical power and false-positive rates for three existing methods applied to the Genetic Analysis Workshop 17 mini-exome data and compare relative performance. We use knowledge of the underlying data simulation model to make these assessments.

Details

Title: Subtitle: Exploration and comparison of methods for combining population- and family-based genetic association using the Genetic Analysis Workshop 17 mini-exome
Creators: David W Fardo - Department of Biostatistics, University of Kentucky College of Public Health, 121 Washington Avenue, Lexington, KY 40536, USA. david.fardo@uky.edu
Anthony R Druen
Jinze Liu
Lucia Mirea
Claire Infante-Rivard
Patrick Breheny
Resource Type: Journal article
Publication Details: BMC proceedings, Vol.5 Suppl 9(Suppl 9), pp.S28-S28
DOI: 10.1186/1753-6561-5-S9-S28
PMID: 22373349
PMCID: PMC3287863
NLM abbreviation: BMC Proc
ISSN: 1753-6561
eISSN: 1753-6561
Publisher: England
Grant note: P20 RR020145 / NCRR NIH HHS R56 AG057191 / NIA NIH HHS
Language: English
Date published: 11/29/2011
Academic Unit: Biostatistics
Record Identifier: 9983997334702771

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