Unknown

Dataset Information

Genetic Risk Scores for Complex Disease Traits in Youth.


ABSTRACT:

Background

For most disease-related traits the magnitude of the contribution of genetic factors in adolescents remains unclear.

Methods

Twenty continuous traits related to anthropometry, cardiovascular and renal function, metabolism, and inflammation were selected from the ongoing prospective Tracking Adolescents' Individual Lives Survey cohort in the Netherlands with measurements of up to 5 waves from age 11 to 22 years (n=1354, 47.6% males) and all traits available at the third wave (mean age [SD]=16.22 [0.66]). For each trait, unweighted and weighted genetic risk scores (GRSs) were generated based on significantly associated single nucleotide polymorphisms identified from literature. The variance explained by the GRSs in adolescents were estimated by linear regression aft

SUBMITTER: Xie T 

PROVIDER: S-EPMC7439939 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature