Evidence map›Paper›PMID 42283032›Full record

ArticleFrontiers in genetics2026

Genetic and non-genetic determinants of vitamin D status: a polygenic score analysis in elite athletes.

Sebastian Hacker, Lukas Reichert, Claudia Lenz, Sabrina Henne, Friederike David, Stefanie Heilmann-Heimbach, Karen Zentgraf, Karsten Krüger

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Article in Frontiers in genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Sebastian HackerDepartment of Exercise Physiology and Sports Therapy, Institute of Sports Science, Justus Liebig University Giessen, Giessen, Germany.
Lukas ReichertInstitute of Sports Science, Work Unit Movement and Exercise Science, Goethe University Frankfurt, Frankfurt am Main, Germany.
Claudia LenzDepartment of Exercise Physiology and Sports Therapy, Institute of Sports Science, Justus Liebig University Giessen, Giessen, Germany.
Sabrina HenneInstitute of Human Genetics, School of Medicine & University Hospital Bonn, University of Bonn, Bonn, Germany.
Friederike DavidInstitute of Human Genetics, School of Medicine & University Hospital Bonn, University of Bonn, Bonn, Germany.
Stefanie Heilmann-HeimbachInstitute of Human Genetics, School of Medicine & University Hospital Bonn, University of Bonn, Bonn, Germany.
Karen ZentgrafInstitute of Sports Science, Work Unit Movement and Exercise Science, Goethe University Frankfurt, Frankfurt am Main, Germany.
Karsten KrügerDepartment of Exercise Physiology and Sports Therapy, Institute of Sports Science, Justus Liebig University Giessen, Giessen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Vitamin D plays a critical role in bone metabolism, immune regulation, and muscle performance. Serum 25-hydroxyvitamin D [25(OH)D] levels are shaped by both genetic and non-genetic determinants. To explore their combined role, we investigated the association between a polygenic score (PGS) for vitamin D metabolism and serum 25(OH)D concentrations in elite athletes. Methods: Serum vitamin D status was measured in 473 German national squad athletes. PRSice-2 was used for PGS development. Linear regression models compared the predictive utility of an overall model (PGS plus covariates) versus a null model (covariates only). Covariates included age, sex, competition environment, ambient UVB dose, and supplementation. Results: Serum 25(OH)D was significantly predicted by the standardized PGS (β = 4.04), age (β = 8.59), supplementation (β = 20.86), and cumulative weighted UVB dose (cw-D-UVB, β = 7.18; all p < 0.05). The full model explained 31.7% (12.1%) of variance (adjusted R2 = 0.235), with the PGS contributing an incremental 1% (1%). Model performance yielded a mean absolute error of 18.64 nmol/L (3.18 nmol/L) and root mean squared error of 25.27 nmol/L (4.24 nmol/L). No significant interactions were found for PGS × cw- D-UVB, PGS × supplementation status and PGS × competition environment. Discussion: The findings indicate that genetic determinants account for a small proportion of the total variance in vitamin D status. Stronger predictors are non-genetic determinants such as supplementation, UVB exposure, and age, highlighting the predominant role of environmental influences. Given the limited explanatory power of the PGS, individualized management strategies should primarily focus on modifiable factors such as sun exposure and supplementation.

Indexed as

elite athletesgene-environment interactiongeneticspolygenic scoreseasonalitysupplementationvitamin D

Identifiers

PMID42283032
PMCPMC13252910

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.