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Posterior probability of linkage analysis of autism dataset identifies linkage to chromosome 16.
- Source :
-
Psychiatric genetics [Psychiatr Genet] 2008 Apr; Vol. 18 (2), pp. 85-91. - Publication Year :
- 2008
-
Abstract
- 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.<br />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.<br />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.<br />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.
- Subjects :
- Adolescent
Adult
Aged
Autistic Disorder epidemiology
Bayes Theorem
Child
Child, Preschool
Chromosomes, Human genetics
Female
Genetic Markers
Genotype
Humans
Male
Microsatellite Repeats
Middle Aged
Siblings psychology
United States epidemiology
Autistic Disorder genetics
Chromosomes, Human, Pair 16 genetics
Lod Score
Subjects
Details
- Language :
- English
- ISSN :
- 1473-5873
- Volume :
- 18
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Psychiatric genetics
- Publication Type :
- Academic Journal
- Accession number :
- 18349700
- Full Text :
- https://doi.org/10.1097/YPG.0b013e3282f9b48e