Efficient Estimation of Nonparametric Genetic Risk Function with Censored Data.

ABSTRACT: With an increasing number of causal genes discovered for complex human disorders, it is crucial to assess the genetic risk of disease onset for individuals who are carriers of these causal mutations and compare the distribution of age-at-onset with that in non-carriers. In many genetic epidemiological studies aiming at estimating causal gene effect on disease, the age-at-onset of disease is subject to censoring. In addition, some individuals' mutation carrier or non-carrier status can be unknown due to the high cost of in-person ascertainment to collect DNA samples or death in older individuals. Instead, the probability of these individuals' mutation status can be obtained from various sources. When mutation status is missing, the available data take the form of censored mixture data. Rece

SUBMITTER: Wang Y 

PROVIDER: S-EPMC4581539 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature