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Preliminary genome‐wide association study of bipolar disorder in the Japanese population

Preliminary genome‐wide association study of bipolar disorder in the Japanese population Recent progress in genotyping technology and the development of public databases has enabled large‐scale genome‐wide association tests with diseases. We performed a two‐stage genome‐wide association study (GWAS) of bipolar disorder (BD) in Japanese cohorts. First we used Affymetrix 100K GeneChip arrays in the analysis of 107 cases with bipolar I disorder and 107 controls, and selected markers that were nominally significant (P < 0.01) in at least one of the three models (1,577 markers in total). In the follow‐up stage, we analyzed these markers using an Illumina platform (1,526 markers; 51 markers were not designable for the platform) and an independent sample set, which consisted of 395 cases (bipolar I + II) and 409 controls. We also assessed the population stratification of current samples using principal components analysis. After the two‐stage analysis, 89 markers remained nominally significant (allelic P < 0.05) with the same allele being consistently over‐represented in both the first and the follow‐up stages. However, none of these were significant after correction for multiple‐testing by false discovery rates. Sample stratification was virtually negligible. Collectively, this is the first GWAS of BD in the Japanese population. But given the small sample size and the limited genomic coverage, these results should be taken as preliminary. © 2009 Wiley‐Liss, Inc. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png American Journal of Medical Genetics part B Wiley

Preliminary genome‐wide association study of bipolar disorder in the Japanese population

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References (25)

Publisher
Wiley
Copyright
Copyright © 2009 Wiley‐Liss, Inc., A Wiley Company
ISSN
1552-4841
eISSN
1552-485X
DOI
10.1002/ajmg.b.30941
pmid
19259986
Publisher site
See Article on Publisher Site

Abstract

Recent progress in genotyping technology and the development of public databases has enabled large‐scale genome‐wide association tests with diseases. We performed a two‐stage genome‐wide association study (GWAS) of bipolar disorder (BD) in Japanese cohorts. First we used Affymetrix 100K GeneChip arrays in the analysis of 107 cases with bipolar I disorder and 107 controls, and selected markers that were nominally significant (P < 0.01) in at least one of the three models (1,577 markers in total). In the follow‐up stage, we analyzed these markers using an Illumina platform (1,526 markers; 51 markers were not designable for the platform) and an independent sample set, which consisted of 395 cases (bipolar I + II) and 409 controls. We also assessed the population stratification of current samples using principal components analysis. After the two‐stage analysis, 89 markers remained nominally significant (allelic P < 0.05) with the same allele being consistently over‐represented in both the first and the follow‐up stages. However, none of these were significant after correction for multiple‐testing by false discovery rates. Sample stratification was virtually negligible. Collectively, this is the first GWAS of BD in the Japanese population. But given the small sample size and the limited genomic coverage, these results should be taken as preliminary. © 2009 Wiley‐Liss, Inc.

Journal

American Journal of Medical Genetics part B – Wiley

Published: Dec 5, 2009

Keywords: Affymetrix 100K; Illumina Beadarray; principal components analysis; PLXNA2 ; SNAP25

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