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

Genetic Epidemiology
D A DorrM Blehar

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.

References

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Citations

Apr 2, 2005·Current Psychiatry Reports·Douglas F Levinson
Aug 12, 2006·Journal of Computational Biology : a Journal of Computational Molecular Cell Biology·Angela P PressonJeanette C Papp
Mar 5, 2002·Genome Research·Daniel E WeeksMichael B Gorin
Jul 27, 2002·Annual Review of Genomics and Human Genetics·Pamela Sklar
Jan 31, 2014·American Journal of Medical Genetics. Part a·Ayse Gul ZamaniEbru Tuncez
Jun 13, 2003·American Journal of Human Genetics·Douglas F LevinsonCathryn M Lewis
Jan 5, 2002·Genetic Epidemiology·Bernie DevlinKathryn Roeder
Mar 10, 2004·Molecular Psychiatry·B J MowryD F Levinson
Feb 24, 2004·CNS Spectrums·Carol A Mathews, Victor I Reus
Apr 27, 2002·Science·Douglas F LevinsonMarilyn Walters

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