Genetic Risk Scores for Complex Disease Traits in YouthXie, T., Wang, B., Nolte, I. M., van der Most, P. J., Oldehinkel, A. J., Hartman, C. A. & Snieder, H., Aug-2020, In : Circulation. Genomic and precision medicine. 13, 4, p. 212-221 25 p., e002775.
Research output: Contribution to journal › Article › Academic › peer-review
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 TRAILS (TRacking Adolescents' Individual Lives Survey) cohort in the Netherlands with measurements of up to five waves from age 11 to 22 years (n=1,354, 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 SNPs identified from literature. The variance explained by the GRSs in adolescents were estimated by linear regression after adjustment for covariates. Results - Except for alanine transaminase (ALT), all GRSs were significantly associated with their traits. The trait variance explained by the GRSs was highest for lipoprotein[a] (39.59%) and varied between 0.09% (ALT) and 18.49% (low-density lipoprotein (LDL)) for the other traits. For most traits the variances explained in adolescents were comparable with or slightly smaller than those in adults. Significant increases of trait levels (except ALT) and increased risks for overweight/obesity (OR 6.41, 95% CI 2.95-15.56) and hypertension (OR 2.86, 95% CI 1.39-6.17) were found in individuals in the top GRS decile compared with those at the bottom decile. Conclusions - Variances explained by adult-based GRSs for disease related traits in adolescents, although still relatively modest, were comparable with or slightly smaller than in adults offering promise for improved risk prediction at early ages.
|Number of pages||25|
|Journal||Circulation. Genomic and precision medicine|
|Early online date||11-Jun-2020|
|Publication status||Published - Aug-2020|