A meta-analysis of chromosome 18 linkage data for bipolar illness

David A. Dorr, John P. Rice, Chris Armstrong, Theodore Reich, Mary Blehar

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

We find a meta-data set (715 families, up to 1,124 sib pairs) for bipolar illness to have a strong signal in a 10 cM region around D18S40, and excess paternal sharing on the q arm near marker D18S64. We describe a method for meta-analysis of microsatellite marker data using affected sib-pair (ASP) methodology. Inherent difficulties in such analysis include heterogeneity of allele frequencies and protocol design, measurement errors in genotyping, and map construction. Using identity-by-descent (IBD) allele sharing as the dependent variable, a logistic regression to test for heterogeneity finds only mild heterogeneity, and a limited parent-of-origin effect.

Original languageEnglish (US)
Pages (from-to)617-622
Number of pages6
JournalGenetic Epidemiology
Volume14
Issue number6
DOIs
StatePublished - 1997

Keywords

  • Bipolar illness
  • Linkage analysis
  • Meta-analysis

ASJC Scopus subject areas

  • Epidemiology
  • Genetics(clinical)

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