
Ulrika Ericson
Associate professor

Genome-Wide Interactions with Dairy Intake for Body Mass Index in Adults of European Descent
Author
Summary, in English
Scope: Body weight responds variably to the intake of dairy foods. Genetic variation may contribute to inter-individual variability in associations between body weight and dairy consumption. Methods and results: A genome-wide interaction study to discover genetic variants that account for variation in BMI in the context of low-fat, high-fat and total dairy intake in cross-sectional analysis was conducted. Data from nine discovery studies (up to 25 513 European descent individuals) were meta-analyzed. Twenty-six genetic variants reached the selected significance threshold (p-interaction <10−7), and six independent variants (LINC01512-rs7751666, PALM2/AKAP2-rs914359, ACTA2-rs1388, PPP1R12A-rs7961195, LINC00333-rs9635058, AC098847.1-rs1791355) were evaluated meta-analytically for replication of interaction in up to 17 675 individuals. Variant rs9635058 (128 kb 3’ of LINC00333) was replicated (p-interaction = 0.004). In the discovery cohorts, rs9635058 interacted with dairy (p-interaction = 7.36 × 10−8) such that each serving of low-fat dairy was associated with 0.225 kg m−2 lower BMI per each additional copy of the effect allele (A). A second genetic variant (ACTA2-rs1388) approached interaction replication significance for low-fat dairy exposure. Conclusion: Body weight responses to dairy intake may be modified by genotype, in that greater dairy intake may protect a genetic subgroup from higher body weight.
Department/s
- Diabetes - Cardiovascular Disease
- EXODIAB: Excellence of Diabetes Research in Sweden
- EpiHealth: Epidemiology for Health
Publishing year
2018-02-01
Language
English
Publication/Series
Molecular Nutrition & Food Research
Volume
62
Issue
3
Document type
Journal article
Publisher
John Wiley & Sons Inc.
Topic
- Nutrition and Dietetics
- Medical Genetics
Keywords
- body mass index
- CHARGE consortium
- dairy intake
- genome-wide interaction study
- meta-analysis
Status
Published
Research group
- Diabetes - Cardiovascular Disease
ISBN/ISSN/Other
- ISSN: 1613-4125