Dataset Information

Interaction between Vitamin D-Related Genetic Risk Score and Carbohydrate Intake on Body Fat Composition: A Study in Southeast Asian Minangkabau Women.

ABSTRACT: Metabolic diseases have been shown to be associated with low vitamin D status; however, the findings have been inconsistent. Hence, the objective of our study was to investigate the relationship between vitamin D status and metabolic disease-related traits in healthy Southeast Asian women and examine whether this relationship was modified by dietary factors using a nutrigenetic study. The study included 110 Minangkabau women (age: 25-60 years) from Padang, Indonesia. Genetic risk scores (GRS) were constructed based on five vitamin D-related single nucleotide polymorphisms (SNPs) (vitamin D-GRS) and ten metabolic disease-associated SNPs (metabolic-GRS). The metabolic-GRS was significantly associated with lower 25-hydroxyvitamin D (25(OH)D) concentrations (p = 0.009) and higher body mass index (BMI) (p = 0.016). Even though the vitamin D-GRS had no effect on metabolic traits (p > 0.12), an interaction was observed between the vitamin D-GRS and carbohydrate intake (g) on body fat percentage (BFP) (p_interaction = 0.049), where those individuals who consumed a high carbohydrate diet (mean ± SD: 319 g/d ± 46) and carried >2 vitamin D-lowering risk alleles had significantly higher BFP (p = 0.016). In summary, we have replicated the association of metabolic-GRS with higher BMI and lower 25(OH)D concentrations and identified a novel interaction between vitamin D-GRS and carbohydrate intake on body fat composition.

SUBMITTER: Alathari BE

PROVIDER: S-EPMC7911469 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundCardiometabolic diseases are complex traits which are influenced by several single nucleotide polymorphisms (SNPs). Thus, analysing the combined effects of multiple gene variants might provide a better understanding of disease risk than using a single gene variant approach. Furthermore, studies have found that the effect of SNPs on cardiometabolic traits can be influenced by lifestyle factors, highlighting the importance of analysing gene-lifestyle interactions.AimsIn the present study, we investigated the association of 15 gene variants with cardiometabolic traits and examined whether these associations were modified by lifestyle factors such as dietary intake and physical activity.MethodsThe study included 110 Minangkabau women [aged 25-60 years and body mass index (BMI) 25.13 ± 4.2 kg/m2] from Padang, Indonesia. All participants underwent a physical examination followed by anthropometric, biochemical and dietary assessments and genetic tests. A genetic risk score (GRS) was developed based on 15 cardiometabolic disease-related SNPs. The effect of GRS on cardiometabolic traits was analysed using general linear models. GRS-lifestyle interactions on continuous outcomes were tested by including the interaction term (e.g. lifestyle factor*GRS) in the regression model. Models were adjusted for age, BMI and location (rural or urban), wherever appropriate.ResultsThere was a significant association between GRS and BMI, where individuals carrying 6 or more risk alleles had higher BMI compared to those carrying 5 or less risk alleles (P = 0.018). Furthermore, there were significant interactions of GRS with protein intake on waist circumference (WC) and triglyceride concentrations (Pinteraction = 0.002 and 0.003, respectively). Among women who had a lower protein intake (13.51 ± 1.18% of the total daily energy intake), carriers of six or more risk alleles had significantly lower WC and triglyceride concentrations compared with carriers of five or less risk alleles (P = 0.0118 and 0.002, respectively).ConclusionsOur study confirmed the association of GRS with higher BMI and further showed a significant effect of the GRS on WC and triglyceride levels through the influence of a low-protein diet. These findings suggest that following a lower protein diet, particularly in genetically predisposed individuals, might be an effective approach for addressing cardiometabolic diseases among Southeast Asian women.

Project description:Abstract Objectives Genetic variation contributes to individual differences in food preference, dietary habit, and nutrient intake, thus affecting nutritional status. Although studies which showed the relevance between genetic differences and the intake of nutrients such as carotenoid, vitamin E, and fat are available, more studies are needed for implementation of precision nutrition. Objective of the study was to investigate genetic variations that are associated with nutrient intake and taste sensitivity. Methods A total of 100 healthy adults (50 men and 50 women) aged 25–35 y who were free of diseases were recruited. Anthropometric measurements, clinical parameters including CBC, lipid profile, glucose level, and liver function tests, dietary intake data using 3-day food record, and taste sensitivity for salty and sweet tastes were determined. A total of 800,000 single nucleotide polymorphisms (SNPs) were analyzed by Theragen Etex using Theragen Precision Medicine Research Array (PMRA) chips. Results A total of 577,164 qualified SNPs were analyzed and three SNPs that might have significant relevance with energy intake (rs75052357, rs1125186, rs73471118) were identified. Carriers of the C allele in rs75052357 (C > T), which is identified in IQGAP1 loci, showed significantly higher fat mass (CC: 16.16 ± 3.52 kg, TC: 14.26 ± 3.58 kg, TT: 12.43 ± 3.83 kg) and higher % body fat (CC: 25.68 ± 5.40%, TC: 22.79 ± 6.10%, TT: 20.60 ± 7.52%) despite a lower energy intake (CC: 1782.2 ± 445.5 kcal, TC: 2212.5 ± 424.1 kcal, TT: 2315.0 ± 892.6 kcal). Carriers of G allele in rs1125186 (G > C) had significantly higher fat mass (CC: 13.34 ± 16.22 kg, CG: 16.22 ± 3.48 kg, GG: 15.67 ± 3.63 kg) in spite of lower energy intake compared with CC carriers (CC: 2222.5 ± 515.9 kcal, CG: 1927.9 ± 452.6 kcal, GG: 1745.7 ± 476.7 kcal). Carriers of T allele in rs73471118 (C > T) had significantly higher energy intake (CC: 1815.5 ± 445.0 kcal, TC: 2726.5 ± 490.6 kcal), while having lower threshold for sweet taste (CC: 8.94 ± 8.51 g/L TC: 0.40 ± 0.00 g/L). Conclusions Novel SNPs showing associations between energy consumption and fat mass or sugar taste sensitivity have been identified. This finding can help developing personalized recommendation for energy intake, however, further studies to delineate the mechanisms are needed. Funding Sources Supported by Seoul National University Research Grant in 2018.

Dataset Information

Interaction between Vitamin D-Related Genetic Risk Score and Carbohydrate Intake on Body Fat Composition: A Study in Southeast Asian Minangkabau Women.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets