4.7 Article

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

Journal

AMERICAN JOURNAL OF HUMAN GENETICS
Volume 77, Issue 4, Pages 582-595

Publisher

CELL PRESS
DOI: 10.1086/491603

Keywords

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Funding

  1. Intramural NIH HHS [Z01 MH002810] Funding Source: Medline
  2. NHGRI NIH HHS [N01HG65403] Funding Source: Medline
  3. NICHD NIH HHS [R01 HD060726] Funding Source: Medline
  4. NIMH NIH HHS [R01 MH059556, T32 MH017119, MH63420, R01 MH059545, 1Z01MH002810-01, U01 MH46282, R01 MH059534, R01 MH59535, R01 MH59553, U01 MH46280, R01 MH059553, MH0667288, R01 MH59567, T32-MH017119, R01 MH060068, R01 MH059533, R01 MH60068, U01 MH46274, R01-MH063445, R01 MH059548, R01 MH59533, R01 MH059567, R01 MH59545, R01 MH059535, R01 MH59602, R01 MH063420, R01 MH063445] Funding Source: Medline

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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.

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