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  On the Meta-Analysis of Genome-Wide Association Studies: A Robust and Efficient Approach to Combine Population and Family-Based Studies

Won, S., Lu, Q., Bertram, L., Tanzi, R. E., & Lange, C. (2012). On the Meta-Analysis of Genome-Wide Association Studies: A Robust and Efficient Approach to Combine Population and Family-Based Studies. Human Heredity, 73(1), 35-46. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/22261799 http://content.karger.com/ProdukteDB/produkte.asp?Aktion=ShowPDF&ArtikelNr=000331219&Ausgabe=256765&ProduktNr=224250&filename=000331219.pdf.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-7763-9 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-7764-7
Genre: Journal Article

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Won, S., Author
Lu, Q., Author
Bertram, L.1, Author              
Tanzi, R. E., Author
Lange, C.2, Author              
Affiliations:
1Neuropsychiatric Genetics (Lars Bertram), Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479655              
2Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433550              

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 Abstract: For the meta-analysis of genome-wide association studies, we propose a new method to adjust for the population stratification and a linear mixed approach that combines family-based and unrelated samples. The proposed approach achieves similar power levels as a standard meta-analysis which combines the different test statistics or p values across studies. However, by virtue of its design, the proposed approach is robust against population admixture and stratification, and no adjustments for population admixture and stratification, even in unrelated samples, are required. Using simulation studies, we examine the power of the proposed method and compare it to standard approaches in the meta-analysis of genome-wide association studies. The practical features of the approach are illustrated with a meta-analysis of three genome-wide association studies for Alzheimer's disease. We identify three single nucleotide polymorphisms showing significant genome-wide association with affection status. Two single nucleotide polymorphisms are novel and will be verified in other populations in our follow-up study.

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 Dates: 2012
 Publication Status: Published in print
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Title: Human Heredity
Source Genre: Journal
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Pages: - Volume / Issue: 73 (1) Sequence Number: - Start / End Page: 35 - 46 Identifier: ISSN: 1423-0062 (Electronic) 0001-5652 (Linking)