Association detection between multiple traits and rare variants based on family data via a nonparametric method.

ABSTRACT:

Background

The rapid development of next-generation sequencing technologies allow people to analyze human complex diseases at the molecular level. It has been shown that rare variants play important roles for human diseases besides common variants. Thus, effective statistical methods need to be proposed to test for the associations between traits (e.g., diseases) and rare variants. Currently, more and more rare genetic variants are being detected throughout the human genome, which demonstrates the possibility to study rare variants. Yet complex diseases are usually measured as a variety of forms, such as binary, ordinal, quantitative, or some mixture of them. Therefore, the genetic mapping problem can be attributable to the association detection between multiple traits and m

SUBMITTER: Chi J 

PROVIDER: S-EPMC10541022 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature