ASPBay-package: Bayesian method with affected sib pairs

In ASPBay: Bayesian Inference on Causal Genetic Variants using Affected Sib-Pairs Data

Description

This package permits to select in a genomic region a subset of SNPs which is likely to contain the true causal SNPs or a SNPs which tag them. Then, we exploite the linkage information contained in affected sib-pairs data to make inference on the causal SNPs in the region using Bayesian method.

Author(s)

Claire Dandine-Roulland

References

Perdry, Herve, Muller-Myhsok, Bertram, et Clerget-Darpoux, Francoise. Using affected sib-pairs to uncover rare disease variants. Hum Hered, 2013.

Dandine-Roulland, Claire and Perdry, Herve. Where is the causal variant? On the advantage of the family design over the case-control design in genetic association studies. Submitted to Eur J Hum Genet

ASPBay documentation built on May 2, 2019, 8:55 a.m.