Estimation of genetic risk function with covariates in the presence of missing genotypes.

ABSTRACT: In genetic epidemiological studies, family history data are collected on relatives of study participants and used to estimate the age-specific risk of disease for individuals who carry a causal mutation. However, a family member's genotype data may not be collected because of the high cost of in-person interview to obtain blood sample or death of a relative. Previously, efficient nonparametric genotype-specific risk estimation in censored mixture data has been proposed without considering covariates. With multiple predictive risk factors available, risk estimation requires a multivariate model to account for additional covariates that may affect disease risk simultaneously. Therefore, it is important to consider the role of covariates in genotype-specific distribution estimation using fami

SUBMITTER: Lee AJ 

PROVIDER: S-EPMC5583003 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature