Association analysis of complex diseases using triads, parent-child dyads and singleton monads.

ABSTRACT:

Background

Triad families are routinely used to test association between genetic variants and complex diseases. Triad studies are important and popular since they are robust in terms of being less prone to false positives due to population structure. In practice, one may collect not only complete triads, but also incomplete families such as dyads (affected child with one parent) and singleton monads (affected child without parents). Since there is a lack of convenient algorithms and software to analyze the incomplete data, dyads and monads are usually discarded. This may lead to loss of power and insufficient utilization of genetic information in a study.

Results

We develop likelihood-based statistical models and likelihood ratio tests to test for association between complex

SUBMITTER: Fan R 

PROVIDER: S-EPMC3844511 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature