Publication

Genetic Risk Scores for Complex Disease Traits in Youth

Xie, 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 10 p., e002775.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Xie, T., Wang, B., Nolte, I. M., van der Most, P. J., Oldehinkel, A. J., Hartman, C. A., & Snieder, H. (2020). Genetic Risk Scores for Complex Disease Traits in Youth. Circulation. Genomic and precision medicine, 13(4), 212-221. [e002775]. https://doi.org/10.1161/CIRCGEN.119.002775, https://doi.org/10.1161/CIRCGEN.119.002775

Author

Xie, Tian ; Wang, Bin ; Nolte, Ilja M ; van der Most, Peter J ; Oldehinkel, Albertine J ; Hartman, Catharina A ; Snieder, Harold. / Genetic Risk Scores for Complex Disease Traits in Youth. In: Circulation. Genomic and precision medicine. 2020 ; Vol. 13, No. 4. pp. 212-221.

Harvard

Xie, T, Wang, B, Nolte, IM, van der Most, PJ, Oldehinkel, AJ, Hartman, CA & Snieder, H 2020, 'Genetic Risk Scores for Complex Disease Traits in Youth', Circulation. Genomic and precision medicine, vol. 13, no. 4, e002775, pp. 212-221. https://doi.org/10.1161/CIRCGEN.119.002775, https://doi.org/10.1161/CIRCGEN.119.002775

Standard

Genetic Risk Scores for Complex Disease Traits in Youth. / Xie, Tian; Wang, Bin; Nolte, Ilja M; van der Most, Peter J; Oldehinkel, Albertine J; Hartman, Catharina A; Snieder, Harold.

In: Circulation. Genomic and precision medicine, Vol. 13, No. 4, e002775, 08.2020, p. 212-221.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Xie T, Wang B, Nolte IM, van der Most PJ, Oldehinkel AJ, Hartman CA et al. Genetic Risk Scores for Complex Disease Traits in Youth. Circulation. Genomic and precision medicine. 2020 Aug;13(4):212-221. e002775. https://doi.org/10.1161/CIRCGEN.119.002775, https://doi.org/10.1161/CIRCGEN.119.002775


BibTeX

@article{40c4efe88ea74fde9b4117812c7da04d,
title = "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 after adjustment for covariates. Results: Except for ALT (alanine transaminase), 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% (LDL [low-density lipoprotein]) 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 (odds ratio, 6.41 [95% CI, 2.95-15.56]) and hypertension (odds ratio, 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.",
keywords = "adolescent, blood pressure, body mass index, genetic predisposition to disease, genetic variation, GENOME-WIDE ASSOCIATION, BODY-MASS INDEX, INDIVIDUAL-LIVES SURVEY, BLOOD-PRESSURE, GLYCEMIC TRAITS, COHORT PROFILE, PLASMA-LIPIDS, HEART-RATE, LOCI, CHILDHOOD",
author = "Tian Xie and Bin Wang and Nolte, {Ilja M} and {van der Most}, {Peter J} and Oldehinkel, {Albertine J} and Hartman, {Catharina A} and Harold Snieder",
year = "2020",
month = aug,
doi = "10.1161/CIRCGEN.119.002775",
language = "English",
volume = "13",
pages = "212--221",
journal = "Circulation. Genomic and precision medicine",
issn = "2574-8300",
publisher = "LIPPINCOTT WILLIAMS & WILKINS",
number = "4",

}

RIS

TY - JOUR

T1 - Genetic Risk Scores for Complex Disease Traits in Youth

AU - Xie, Tian

AU - Wang, Bin

AU - Nolte, Ilja M

AU - van der Most, Peter J

AU - Oldehinkel, Albertine J

AU - Hartman, Catharina A

AU - Snieder, Harold

PY - 2020/8

Y1 - 2020/8

N2 - 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 after adjustment for covariates. Results: Except for ALT (alanine transaminase), 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% (LDL [low-density lipoprotein]) 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 (odds ratio, 6.41 [95% CI, 2.95-15.56]) and hypertension (odds ratio, 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.

AB - 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 after adjustment for covariates. Results: Except for ALT (alanine transaminase), 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% (LDL [low-density lipoprotein]) 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 (odds ratio, 6.41 [95% CI, 2.95-15.56]) and hypertension (odds ratio, 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.

KW - adolescent

KW - blood pressure

KW - body mass index

KW - genetic predisposition to disease

KW - genetic variation

KW - GENOME-WIDE ASSOCIATION

KW - BODY-MASS INDEX

KW - INDIVIDUAL-LIVES SURVEY

KW - BLOOD-PRESSURE

KW - GLYCEMIC TRAITS

KW - COHORT PROFILE

KW - PLASMA-LIPIDS

KW - HEART-RATE

KW - LOCI

KW - CHILDHOOD

U2 - 10.1161/CIRCGEN.119.002775

DO - 10.1161/CIRCGEN.119.002775

M3 - Article

C2 - 32527150

VL - 13

SP - 212

EP - 221

JO - Circulation. Genomic and precision medicine

JF - Circulation. Genomic and precision medicine

SN - 2574-8300

IS - 4

M1 - e002775

ER -

ID: 127408028