TY - JOUR
T1 - A meta-analysis of chromosome 18 linkage data for bipolar illness
AU - Dorr, David A.
AU - Rice, John P.
AU - Armstrong, Chris
AU - Reich, Theodore
AU - Blehar, Mary
PY - 1997
Y1 - 1997
N2 - 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.
AB - 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.
KW - Bipolar illness
KW - Linkage analysis
KW - Meta-analysis
UR - http://www.scopus.com/inward/record.url?scp=0031459361&partnerID=8YFLogxK
U2 - 10.1002/(SICI)1098-2272(1997)14:6<617::AID-GEPI11>3.0.CO;2-T
DO - 10.1002/(SICI)1098-2272(1997)14:6<617::AID-GEPI11>3.0.CO;2-T
M3 - Article
C2 - 9433552
AN - SCOPUS:0031459361
SN - 0741-0395
VL - 14
SP - 617
EP - 622
JO - Genetic Epidemiology
JF - Genetic Epidemiology
IS - 6
ER -