Obesity polymorphisms identified in genome-wide association studies interact with n-3 polyunsaturated fatty acid intake and modify the genetic association with adiposity phenotypes in Yup’ik people

Lemas, Dominick J.; Klimentidis, Yann C.; Wiener, Howard; O’Brien, Diane M.; Hopkins, Scarlett E.; Allison, David B.; Fernández, José R.; Tiwari, Hemant K.; Boyer, Bert B.

doi:10.1007/s12263-013-0340-z

Cited by 21 publications

(26 citation statements)

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“…Our study also suggests that PUFA intake could modify the genetic association with body composition. This is in accordance with findings from a previous study which detected a significant interaction between a 12 obesity SNPs' GRS and omega-3 PUFA and BMI (Lemas et al 2013). In addition to the interaction with GRS, several nominal interactions with FTO and dietary fat were found; thus, FTO interacted with total fat and MUFA intake to modify its effect on BFM.…”

Section: Discussionsupporting

confidence: 92%

“…In this regard, it should be noted that from a clinical point of view, the categorization of a genetic score into a dichotomous variable could be more useful for clinical decision making (Horne et al 2005). The analyses demonstrated that the GRS as a continuous variable predicts \1 % of the BMI variation (0.16 %) in concordance with most of previous studies (Li et al 2010a;Takeuchi et al 2011;Peterson et al 2011;Lemas et al 2013). Nevertheless, our GRS explained 1.59 %.…”

Section: Discussionsupporting

confidence: 81%

“…Nevertheless, there is scarce information regarding interactions between obesity GRSs and lifestyle factors. Interactions with physical activity (Li et al 2010a;Ahmad et al 2013), television watching (Qi et al 2012a), meal frequencies (Jaaskelainen et al 2013), omega-3 polyunsaturated fatty acids (PUFA) (Lemas et al 2013), sugar-sweetened beverages (Qi et al 2012b) and fried food ) have been described, although other report could not observe any strong interactions with macronutrients .…”

Section: Introductionmentioning

confidence: 99%

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A genetic risk tool for obesity predisposition assessment and personalized nutrition implementation based on macronutrient intake

et al. 2014

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There is little evidence about genetic risk score (GRS)-diet interactions in order to provide personalized nutrition based on the genotype. The aim of the study was to assess the value of a GRS on obesity prediction and to further evaluate the interactions between the GRS and dietary intake on obesity. A total of 711 seekers of a Nutrigenetic Service were examined for anthropometric and body composition measurements and also for dietary habits and physical activity. Oral epithelial cells were collected for the identification of 16 SNPs (related with obesity or lipid metabolism) using DNA zip-coded beads. Genotypes were coded as 0, 1 or 2 according to the number of risk alleles, and the GRS was calculated by adding risk alleles with such a criterion. After being adjusted for gender, age, physical activity and energy intake, the GRS demonstrated that individuals carrying >7 risk alleles had in average 0.93 kg/m(2) of BMI, 1.69 % of body fat mass, 1.94 cm of waist circumference and 0.01 waist-to-height ratio more than the individuals with ≤7 risk alleles. Significant interactions for GRS and the consumption of energy, total protein, animal protein, vegetable protein, total fat, saturated fatty acids, polyunsaturated fatty acids, total carbohydrates, complex carbohydrates and fiber intake on adiposity traits were found after adjusted for confounders variables. The GRS confirmed that the high genetic risk group showed greater values of adiposity than the low risk group and demonstrated that macronutrient intake modifies the GRS association with adiposity traits.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 81%

Section: Introductionmentioning

confidence: 99%

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A genetic risk tool for obesity predisposition assessment and personalized nutrition implementation based on macronutrient intake

et al. 2014

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“…We have shown that RBCs and hair nitrogen isotope ratios ( 15 N/ 14 N, expressed as d 15 N, as defined in Participants and Methods) are strongly correlated (>0.8) with the RBC long-chain n-3 PUFAs EPA and DHA because all 3 measures are elevated in fish and marine mammals, a large component of the traditional YupÕik diet (5)(6)(7). Intakes of EPA and DHA are high and quite variable in YupÕik people (6); therefore, associations with health are of particular interest for further study (8)(9)(10)(11). Because d 15 N is relatively simple and inexpensive to assay, several recent studies have used d 15 N as a surrogate measure of n-3 PUFA intake (10,12,13).…”

Section: Introductionmentioning

confidence: 96%

“…Intakes of EPA and DHA are high and quite variable in YupÕik people (6); therefore, associations with health are of particular interest for further study (8)(9)(10)(11). Because d 15 N is relatively simple and inexpensive to assay, several recent studies have used d 15 N as a surrogate measure of n-3 PUFA intake (10,12,13). However, EPA and DHA derive from marine fats, whereas elevated d 15 N derives from marine protein, and these components are sometimes rendered and eaten separately (e.g., as seal oil and seal meat).…”

Section: Introductionmentioning

confidence: 99%

A Stable Isotope Biomarker of Marine Food Intake Captures Associations between n–3 Fatty Acid Intake and Chronic Disease Risk in a Yup’ik Study Population, and Detects New Associations with Blood Pressure and Adiponectin

O’Brien

Kristal

Nash

et al. 2014

The Journal of Nutrition

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The nitrogen isotope ratio (δ(15)N) of RBCs has been proposed as a biomarker of marine food intake in Yup'ik people based on strong associations with RBC eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). However, EPA and DHA derive from marine fats, whereas elevated δ(15)N derives from marine protein, and these dietary components may have different biologic effects. Whether δ(15)N is similarly associated with chronic disease risk factors compared with RBC EPA and DHA is not known. We used covariate-adjusted linear models to describe biomarker associations with chronic disease risk factors in Yup'ik people, first in a smaller (n = 363) cross-sectional study population using RBC EPA, DHA, and δ(15)N, and then in a larger (n = 772) cross-sectional study population using δ(15)N only. In the smaller sample, associations of RBC EPA, DHA, and δ(15)N with obesity and chronic disease risk factors were similar in direction and significance: δ(15)N was positively associated with total, HDL, and LDL cholesterol, apolipoprotein A-I, and insulin-like growth factor binding protein-3 (IGFBP-3), and inversely associated with triglycerides. Based on comparisons between covariate-adjusted β-coefficients, EPA was more strongly associated with circulating lipids and lipoproteins, whereas δ(15)N was more strongly associated with adipokines, the inflammatory marker interleukin-6, and IGFBP-3. In the larger sample there were new findings for this population: δ(15)N was inversely associated with blood pressure and there was a significant association (with inverse linear and positive quadratic terms) with adiponectin. In conclusion, δ(15)N is a valid measure for evaluating associations between EPA and DHA intake and chronic disease risk in Yup'ik people and may be used in larger studies. By measuring δ(15)N, we report beneficial associations of marine food intake with blood pressure and adiponectin, which may contribute to a lower incidence of some chronic diseases in Yup'ik people.

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Evidence for novel genetic loci associated with metabolic traits in Yup'ik people

Aslibekyan

Vaughan

Wiener

et al. 2013

American J Hum Biol

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Objectives: To identify genomic regions associated with fasting plasma lipid profiles, insulin, glucose, and glycosylated hemoglobin in a Yup’ik study population, and to evaluate whether the observed associations between genetic factors and metabolic traits were modified by dietary intake of marine derived omega-3 polyunsaturated acids (n-3 PUFA). Methods: A genome-wide linkage scan was conducted among 982 participants of the Center for Alaska Native Health Research study. n-3 PUFA intake was estimated using the nitrogen stable isotope ratio (δ15N) of erythrocytes. All genotyped SNPs located within genomic regions with LOD scores > 2 were subsequently tested for individual SNP associations with metabolic traits using linear models that account for familial correlation as well as age, sex, community group and n-3 PUFA intake. Separate linear models were fit to evaluate interactions between the genotype of interest and n-3 PUFA intake. Results: We identified several chromosomal regions linked to serum apolipoprotein A2, high density lipoprotein-, low density lipoprotein-, and total cholesterol, insulin, and glycosylated hemoglobin. Genetic variants found to be associated with total cholesterol mapped to a region containing previously validated lipid loci on chromosome 19, and additional novel peaks of biological interest were identified at 11q12.2-11q13.2. We did not observe any significant interactions between n-3 PUFA intake, genotypes, and metabolic traits. Conclusions: We have completed a whole genome linkage scan for metabolic traits in Native Alaskans, confirming previously identified loci, and offering preliminary evidence of novel loci implicated in chronic disease pathogenesis in this population.

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Obesity polymorphisms identified in genome-wide association studies interact with n-3 polyunsaturated fatty acid intake and modify the genetic association with adiposity phenotypes in Yup’ik people

Cited by 21 publications

References 61 publications

A genetic risk tool for obesity predisposition assessment and personalized nutrition implementation based on macronutrient intake

A genetic risk tool for obesity predisposition assessment and personalized nutrition implementation based on macronutrient intake

A Stable Isotope Biomarker of Marine Food Intake Captures Associations between n–3 Fatty Acid Intake and Chronic Disease Risk in a Yup’ik Study Population, and Detects New Associations with Blood Pressure and Adiponectin

Evidence for novel genetic loci associated with metabolic traits in Yup'ik people

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