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Posterior probability of linkage analysis of autism dataset identifies linkage to chromosome 16.

Wassink TH, Vieland VJ, Sheffield VC, Bartlett CW, Goedken R, Childress D, Piven J

Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA. thomas-wassink@uiowa.edu

OBJECTIVE: To apply phenotypic and statistical methods designed to account for heterogeneity to linkage analyses of the autism Collaborative Linkage Study of Autism (CLSA) affected sibling pair families. METHOD: The CLSA contains two sets of 57 families each; Set 1 has been analyzed previously, whereas this study presents the first analyses of Set 2. The two sets were analyzed independently, and were further split based on the degree of phrase speech delay in the siblings. Linkage analysis was carried out using the posterior probability of linkage (PPL), a Bayesian statistic that provides a mathematically rigorous mechanism for combining linkage evidence across multiple samples. RESULTS: Two-point PPLs from Set 1 led to the follow-up genotyping of 18 markers around linkage peaks on 1q, 13p, 13q, 16q, and 17q in both sets of families. Multipoint PPLs were then calculated for the entire CLSA sample. These analyses identified four regions with at least modest evidence in support of linkage: 1q at 173 cM, PPL=0.12; 13p at 21 cM, PPL=0.16; 16q at 63 cM, PPL=0.36; Xq at 40 cM, PPL=0.11. CONCLUSION: We find strengthened evidence for linkage of autism to chromosomes 1q, 13p, 16q, and Xq, and diminished evidence for linkage to 7q and 13q. The verity of these findings will be tested by continuing to update our PPL analyses with data from additional autism datasets.

Published 19 March 2008 in Psychiatr Genet, 18(2): 85-91.
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