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Combined analysis from eleven linkage studies of bipolar disorder provides strong evidence of susceptibility loci on chromosomes 6q and 8q.

Authors :
McQueen MB
Devlin B
Faraone SV
Nimgaonkar VL
Sklar P
Smoller JW
Abou Jamra R
Albus M
Bacanu SA
Baron M
Barrett TB
Berrettini W
Blacker D
Byerley W
Cichon S
Coryell W
Craddock N
Daly MJ
Depaulo JR
Edenberg HJ
Foroud T
Gill M
Gilliam TC
Hamshere M
Jones I
Jones L
Juo SH
Kelsoe JR
Lambert D
Lange C
Lerer B
Liu J
Maier W
Mackinnon JD
McInnis MG
McMahon FJ
Murphy DL
Nothen MM
Nurnberger JI
Pato CN
Pato MT
Potash JB
Propping P
Pulver AE
Rice JP
Rietschel M
Scheftner W
Schumacher J
Segurado R
Van Steen K
Xie W
Zandi PP
Laird NM
Source :
American journal of human genetics [Am J Hum Genet] 2005 Oct; Vol. 77 (4), pp. 582-95. Date of Electronic Publication: 2005 Aug 15.
Publication Year :
2005

Abstract

Several independent studies and meta-analyses aimed at identifying genomic regions linked to bipolar disorder (BP) have failed to find clear and consistent evidence of linkage regions. Our hypothesis is that combining the original genotype data provides benefits of increased power and control over sources of heterogeneity that outweigh the difficulty and potential pitfalls of the implementation. We conducted a combined analysis using the original genotype data from 11 BP genomewide linkage scans comprising 5,179 individuals from 1,067 families. Heterogeneity among studies was minimized in our analyses by using uniform methods of analysis and a common, standardized marker map and was assessed using novel methods developed for meta-analysis of genome scans. To date, this collaboration is the largest and most comprehensive analysis of linkage samples involving a psychiatric disorder. We demonstrate that combining original genome-scan data is a powerful approach for the elucidation of linkage regions underlying complex disease. Our results establish genomewide significant linkage to BP on chromosomes 6q and 8q, which provides solid information to guide future gene-finding efforts that rely on fine-mapping and association approaches.

Details

Language :
English
ISSN :
0002-9297
Volume :
77
Issue :
4
Database :
MEDLINE
Journal :
American journal of human genetics
Publication Type :
Academic Journal
Accession number :
16175504
Full Text :
https://doi.org/10.1086/491603