Diet as a source of the non-direct genetic effects in metabolic traits: evidence from a family-based GWAS study
Within-family genome-wide association studies (GWAS) can separate direct genetic effects from non-direct genetic biases introduced by analyses based on unrelated individuals, yet evidence regarding metabolic phenotypes remains sparse. Here, we aim to uncover non-direct genetic effects for metabolic traits and the role of diet in the non-direct genetic mechanism. We conducted family-based GWAS studies on six metabolic traits using data from full siblings (N = 777) and parent-offspring trios (N = 386). We calculated and compared within-family and population-based polygenic score (PGS) associations to identify non-direct genetic effects. Additionally, we assessed the parental indirect genetic effects of diet on offspring's metabolic traits. Within-sibship GWAS analyses were also conducted to evaluate the impact of non-direct genetic effects at the individual variant level. On average, the magnitudes of within-family PGS associations for metabolic traits showed a 35.2% reduction compared to population-based estimates, suggesting the presence of non-direct genetic effects. This discrepancy diminished after accounting for dietary score, indicating that diet is a major source of non-direct genetic effects. Additionally, parental indirect genetic effects of diet were revealed in parent-offspring models. For instance, PGS of parental fat consumption was positively related to the child's blood glucose levels (β: 0.44, 95% CI 0.21-0.67). After excluding non-direct genetic effects, within-sibship GWAS models are more effective at identifying functional genes associated with metabolic traits. Our study showed significant contributions of non-direct genetic effects on metabolic traits and also identified diet as a major source of non-direct genetic effects. These findings underlined the importance of family-based GWAS data in disentangling the genetic effects and gene-environment correlations underlying metabolic traits.
Authors
- Kexin Ding (ORCID: https://orcid.org/0009-0007-2155-1484)
- Yiqun Wu (ORCID: https://orcid.org/0000-0002-5554-1678)
- Han Xiao (ORCID: https://orcid.org/0000-0002-6108-2789)
- Zechen Zhou (ORCID: https://orcid.org/0000-0003-0390-9597)
- Xiaoyi Li (ORCID: https://orcid.org/0000-0001-6963-2178)
- Dafang Chen (ORCID: https://orcid.org/0000-0001-8226-5413)
- Yonghua Hu (ORCID: https://orcid.org/0000-0003-1631-3952)
- Yujia Ma (ORCID: https://orcid.org/0000-0003-0752-9372)
- Tao Wu (ORCID: https://orcid.org/0000-0002-5371-9700)
Institutions
- Peking University (CN)
- Ministry of Education (RO)
- Imperial College London (GB)
Publication Details
- Journal
- Human Genetics
- Published
- 2025-10-13
- DOI
- https://doi.org/10.1007/s00439-025-02780-8
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China