ArticleCirculation. Genomic and precision medicine2020
Genetic Risk Scores for Complex Disease Traits in Youth.
Article in Circulation. Genomic and precision medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- Polygenic scores and physical fitness prediction: a systematic review.Human genetics · 2026Pooled it
- Sex-specific and polygenic effects underlying resting heart rate and associated risk of cardiovascular disease.European journal of preventive cardiology · 2024Pooled it
- Genetic determinants of childhood blood pressure and heart rate in relation to adult health outcomes: the consortium of childhood blood pressure.European heart journal · 2026Article
- Multi-omic definition of metabolic obesity through adipose tissue-microbiome interactions.Nature medicine · 2026Article
- Polygenic Risk Scores Predicting Estimated GFR Validated With Iohexol Clearance.Kidney international reports · 2026Article
- Transferability of polygenic risk scores for metabolic and cardiovascular traits in an underrepresented population.NPJ genomic medicine · 2025Article
- Body mass index modifies genetic susceptibility to high systolic blood pressure in adolescents and young adults: results from an 18-year longitudinal study.Journal of human hypertension · 2025Article
- Severe COVID-19 disease is associated with genetic factors affecting plasma ACE2 receptor and CRP concentrations.Scientific reports · 2025Article
- Single-Ancestry versus Multi-Ancestry Polygenic Risk Scores for CKD in Black American Populations.Journal of the American Society of Nephrology : JASN · 2024Article
- Forensic height estimation using polygenic score in Korean population.Molecular genetics and genomics : MGG · 2024Article
- Monogenic and polygenic concepts in chronic kidney disease (CKD).Journal of nephrology · 2024Review
- Article
- Development of a genetic risk score to predict the risk of hypertension in European adolescents from the HELENA study.Frontiers in cardiovascular medicine · 2023Article
- Investigation of heteroscedasticity in polygenic risk scores across 15 quantitative traits.Frontiers in genetics · 2023Article
- Assessment of multi-population polygenic risk scores for lipid traits in African Americans.PeerJ · 2023Article
- Fetal Bradycardia Caused by Monogenic Disorders-A Review of the Literature.Journal of clinical medicine · 2022Review
- Study of the Combined Effect of Maternal Tobacco Smoking and Polygenic Risk Scores on Birth Weight and Body Mass Index in Childhood.Frontiers in genetics · 2022Article
- Genome-wide polygenic risk score for retinopathy of type 2 diabetes.Human molecular genetics · 2021Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFor most disease-related traits the magnitude of the contribution of genetic factors in adolescents remains unclear.
methodsTwenty 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.
resultsExcept 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.
conclusionsVariances 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.
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