Assessing heterogeneity in affected relative pair linkage analysis can help control type I error or identify important subgroups. We develop a method to incorporate covariates into sib-pair analysis, and hence are able to test for covariate effects on allele sharing in sib pairs. We propose a way of
Affected-sib-pair analyses of bipolar disorder using data on chromosome 18
โ Scribed by Fatemeh Haghighi; Wentian Li; Cathy S.J. Fann
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 33 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0741-0395
No coin nor oath required. For personal study only.
โฆ Synopsis
Our aim was to analyze the GAW10 bipolar data on chromosome 18, using three well-known affected-sib-pair methods. Analyses were carried out on both individual and combined data sets. In these analyses we defined the affected phenotype to include only individuals with diagnosis of bipolar I. We observed suggestive evidence for linkage to a few markers on the peri-centromeric region of chromosome 18. In the COLUMBIA data set, D18S45 showed statistically significant results (p-value # 0.001). Also for the combined analyses, D18S53 gave a consistently significant linkage signal.
๐ SIMILAR VOLUMES
## As part of a four-center NIMH Genetics Initiative on Bipolar Disorder, a genome screen using 365 markers was performed on 540 DNAs from 97 families, enriched for affected relative pairs. This is the largest uniformly ascertained and assessed linkage sample for this disease, and includes 232 subj