The Impact of FTO Genetic Variants on Obesity and Its Metabolic Consequences is Dependent on Daily Macronutrient Intake
Numerous studies have identified the various fat mass and obesity-associated (FTO) genetic variants associated with obesity and its metabolic consequences; however, the impact of dietary factors on these associations remains unclear. The aim of this study was to evaluate the association between FTO...
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Published in | Nutrients Vol. 12; no. 11; p. 3255 |
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Main Authors | , , , , , , , |
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Language | English |
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Abstract | Numerous studies have identified the various fat mass and obesity-associated (FTO) genetic variants associated with obesity and its metabolic consequences; however, the impact of dietary factors on these associations remains unclear. The aim of this study was to evaluate the association between FTO single nucleotide polymorphisms (SNPs), daily macronutrient intake, and obesity and its metabolic consequences. From 1549 Caucasian subjects of Polish origin, genotyped for the FTO SNPs (rs3751812, rs8044769, rs8050136, and rs9939609), 819 subjects were selected for gene–diet interaction analysis. Anthropometric measurements were performed and total body fat content and distribution, blood glucose and insulin concentration during oral glucose tolerance test (OGTT), and lipid profile were determined. Macronutrient intake was analyzed based on three-day food records, and daily physical activity levels were evaluated using the International Physical Activity Questionnaire Long Form (IPAQ-LF). Our study shows that carriers of the GG genotype of rs3751812 presented lower body weight, body mass index (BMI), total body fat content, and hip and waist circumference and presented lower obesity-related markers if more than 48% of daily energy intake was derived from carbohydrates and lower subcutaneous and visceral fat content when energy intake derived from dietary fat did not exceed 30%. Similar results were observed for rs8050136 CC genotype carriers. We did not notice any significant differences in obesity markers between genotypes of rs8044769, but we did observe a significant impact of diet-gene associations. Body weight and BMI were significantly higher in TT and CT genotype carriers if daily energy intake derived from carbohydrates was less than 48%. Moreover, in TT genotype carriers, we observed higher blood glucose concentration while fasting and during the OGTT test if more than 18% of total energy intake was derived from proteins. In conclusion, our results indicate that daily macronutrient intake may modulate the impact of FTO genetic SNPs on obesity and obesity-related metabolic consequences. |
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AbstractList | Numerous studies have identified the various fat mass and obesity-associated (
) genetic variants associated with obesity and its metabolic consequences; however, the impact of dietary factors on these associations remains unclear. The aim of this study was to evaluate the association between
single nucleotide polymorphisms (SNPs), daily macronutrient intake, and obesity and its metabolic consequences. From 1549 Caucasian subjects of Polish origin, genotyped for the
SNPs (rs3751812, rs8044769, rs8050136, and rs9939609), 819 subjects were selected for gene-diet interaction analysis. Anthropometric measurements were performed and total body fat content and distribution, blood glucose and insulin concentration during oral glucose tolerance test (OGTT), and lipid profile were determined. Macronutrient intake was analyzed based on three-day food records, and daily physical activity levels were evaluated using the International Physical Activity Questionnaire Long Form (IPAQ-LF). Our study shows that carriers of the GG genotype of rs3751812 presented lower body weight, body mass index (BMI), total body fat content, and hip and waist circumference and presented lower obesity-related markers if more than 48% of daily energy intake was derived from carbohydrates and lower subcutaneous and visceral fat content when energy intake derived from dietary fat did not exceed 30%. Similar results were observed for rs8050136 CC genotype carriers. We did not notice any significant differences in obesity markers between genotypes of rs8044769, but we did observe a significant impact of diet-gene associations. Body weight and BMI were significantly higher in TT and CT genotype carriers if daily energy intake derived from carbohydrates was less than 48%. Moreover, in TT genotype carriers, we observed higher blood glucose concentration while fasting and during the OGTT test if more than 18% of total energy intake was derived from proteins. In conclusion, our results indicate that daily macronutrient intake may modulate the impact of
genetic SNPs on obesity and obesity-related metabolic consequences. Numerous studies have identified the various fat mass and obesity-associated (FTO) genetic variants associated with obesity and its metabolic consequences; however, the impact of dietary factors on these associations remains unclear. The aim of this study was to evaluate the association between FTO single nucleotide polymorphisms (SNPs), daily macronutrient intake, and obesity and its metabolic consequences. From 1549 Caucasian subjects of Polish origin, genotyped for the FTO SNPs (rs3751812, rs8044769, rs8050136, and rs9939609), 819 subjects were selected for gene-diet interaction analysis. Anthropometric measurements were performed and total body fat content and distribution, blood glucose and insulin concentration during oral glucose tolerance test (OGTT), and lipid profile were determined. Macronutrient intake was analyzed based on three-day food records, and daily physical activity levels were evaluated using the International Physical Activity Questionnaire Long Form (IPAQ-LF). Our study shows that carriers of the GG genotype of rs3751812 presented lower body weight, body mass index (BMI), total body fat content, and hip and waist circumference and presented lower obesity-related markers if more than 48% of daily energy intake was derived from carbohydrates and lower subcutaneous and visceral fat content when energy intake derived from dietary fat did not exceed 30%. Similar results were observed for rs8050136 CC genotype carriers. We did not notice any significant differences in obesity markers between genotypes of rs8044769, but we did observe a significant impact of diet-gene associations. Body weight and BMI were significantly higher in TT and CT genotype carriers if daily energy intake derived from carbohydrates was less than 48%. Moreover, in TT genotype carriers, we observed higher blood glucose concentration while fasting and during the OGTT test if more than 18% of total energy intake was derived from proteins. In conclusion, our results indicate that daily macronutrient intake may modulate the impact of FTO genetic SNPs on obesity and obesity-related metabolic consequences.Numerous studies have identified the various fat mass and obesity-associated (FTO) genetic variants associated with obesity and its metabolic consequences; however, the impact of dietary factors on these associations remains unclear. The aim of this study was to evaluate the association between FTO single nucleotide polymorphisms (SNPs), daily macronutrient intake, and obesity and its metabolic consequences. From 1549 Caucasian subjects of Polish origin, genotyped for the FTO SNPs (rs3751812, rs8044769, rs8050136, and rs9939609), 819 subjects were selected for gene-diet interaction analysis. Anthropometric measurements were performed and total body fat content and distribution, blood glucose and insulin concentration during oral glucose tolerance test (OGTT), and lipid profile were determined. Macronutrient intake was analyzed based on three-day food records, and daily physical activity levels were evaluated using the International Physical Activity Questionnaire Long Form (IPAQ-LF). Our study shows that carriers of the GG genotype of rs3751812 presented lower body weight, body mass index (BMI), total body fat content, and hip and waist circumference and presented lower obesity-related markers if more than 48% of daily energy intake was derived from carbohydrates and lower subcutaneous and visceral fat content when energy intake derived from dietary fat did not exceed 30%. Similar results were observed for rs8050136 CC genotype carriers. We did not notice any significant differences in obesity markers between genotypes of rs8044769, but we did observe a significant impact of diet-gene associations. Body weight and BMI were significantly higher in TT and CT genotype carriers if daily energy intake derived from carbohydrates was less than 48%. Moreover, in TT genotype carriers, we observed higher blood glucose concentration while fasting and during the OGTT test if more than 18% of total energy intake was derived from proteins. In conclusion, our results indicate that daily macronutrient intake may modulate the impact of FTO genetic SNPs on obesity and obesity-related metabolic consequences. Numerous studies have identified the various fat mass and obesity-associated (FTO) genetic variants associated with obesity and its metabolic consequences; however, the impact of dietary factors on these associations remains unclear. The aim of this study was to evaluate the association between FTO single nucleotide polymorphisms (SNPs), daily macronutrient intake, and obesity and its metabolic consequences. From 1549 Caucasian subjects of Polish origin, genotyped for the FTO SNPs (rs3751812, rs8044769, rs8050136, and rs9939609), 819 subjects were selected for gene–diet interaction analysis. Anthropometric measurements were performed and total body fat content and distribution, blood glucose and insulin concentration during oral glucose tolerance test (OGTT), and lipid profile were determined. Macronutrient intake was analyzed based on three-day food records, and daily physical activity levels were evaluated using the International Physical Activity Questionnaire Long Form (IPAQ-LF). Our study shows that carriers of the GG genotype of rs3751812 presented lower body weight, body mass index (BMI), total body fat content, and hip and waist circumference and presented lower obesity-related markers if more than 48% of daily energy intake was derived from carbohydrates and lower subcutaneous and visceral fat content when energy intake derived from dietary fat did not exceed 30%. Similar results were observed for rs8050136 CC genotype carriers. We did not notice any significant differences in obesity markers between genotypes of rs8044769, but we did observe a significant impact of diet-gene associations. Body weight and BMI were significantly higher in TT and CT genotype carriers if daily energy intake derived from carbohydrates was less than 48%. Moreover, in TT genotype carriers, we observed higher blood glucose concentration while fasting and during the OGTT test if more than 18% of total energy intake was derived from proteins. In conclusion, our results indicate that daily macronutrient intake may modulate the impact of FTO genetic SNPs on obesity and obesity-related metabolic consequences. Numerous studies have identified the various fat mass and obesity-associated ( FTO ) genetic variants associated with obesity and its metabolic consequences; however, the impact of dietary factors on these associations remains unclear. The aim of this study was to evaluate the association between FTO single nucleotide polymorphisms (SNPs), daily macronutrient intake, and obesity and its metabolic consequences. From 1549 Caucasian subjects of Polish origin, genotyped for the FTO SNPs (rs3751812, rs8044769, rs8050136, and rs9939609), 819 subjects were selected for gene–diet interaction analysis. Anthropometric measurements were performed and total body fat content and distribution, blood glucose and insulin concentration during oral glucose tolerance test (OGTT), and lipid profile were determined. Macronutrient intake was analyzed based on three-day food records, and daily physical activity levels were evaluated using the International Physical Activity Questionnaire Long Form (IPAQ-LF). Our study shows that carriers of the GG genotype of rs3751812 presented lower body weight, body mass index (BMI), total body fat content, and hip and waist circumference and presented lower obesity-related markers if more than 48% of daily energy intake was derived from carbohydrates and lower subcutaneous and visceral fat content when energy intake derived from dietary fat did not exceed 30%. Similar results were observed for rs8050136 CC genotype carriers. We did not notice any significant differences in obesity markers between genotypes of rs8044769, but we did observe a significant impact of diet-gene associations. Body weight and BMI were significantly higher in TT and CT genotype carriers if daily energy intake derived from carbohydrates was less than 48%. Moreover, in TT genotype carriers, we observed higher blood glucose concentration while fasting and during the OGTT test if more than 18% of total energy intake was derived from proteins. In conclusion, our results indicate that daily macronutrient intake may modulate the impact of FTO genetic SNPs on obesity and obesity-related metabolic consequences. |
Author | Adamska-Patruno, Edyta Bauer, Witold Gorska, Maria Fiedorczuk, Joanna Krasowska, Urszula Czajkowski, Przemyslaw Kretowski, Adam Moroz, Monika |
AuthorAffiliation | 2 Clinical Research Centre, Medical University of Bialystok Clinical Hospital, Marii Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland; j.fiedorczuk@wp.pl (J.F.); monika_bakun@wp.pl (M.M.) 3 Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Jana Kilinskiego 1, 15-089 Bialystok, Poland; mgorska25@wp.pl 1 Clinical Research Centre, Medical University of Bialystok, Jana Kilinskiego 1, 15-089 Bialystok, Poland; przemyslaw.czajkowski@umb.edu.pl (P.C.); witold.bauer@umb.edu.pl (W.B.); urszula.krasowska@umb.edu.pl (U.K.); adamkretowski@wp.pl (A.K.) |
AuthorAffiliation_xml | – name: 3 Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Jana Kilinskiego 1, 15-089 Bialystok, Poland; mgorska25@wp.pl – name: 2 Clinical Research Centre, Medical University of Bialystok Clinical Hospital, Marii Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland; j.fiedorczuk@wp.pl (J.F.); monika_bakun@wp.pl (M.M.) – name: 1 Clinical Research Centre, Medical University of Bialystok, Jana Kilinskiego 1, 15-089 Bialystok, Poland; przemyslaw.czajkowski@umb.edu.pl (P.C.); witold.bauer@umb.edu.pl (W.B.); urszula.krasowska@umb.edu.pl (U.K.); adamkretowski@wp.pl (A.K.) |
Author_xml | – sequence: 1 givenname: Przemyslaw orcidid: 0000-0001-8968-4063 surname: Czajkowski fullname: Czajkowski, Przemyslaw – sequence: 2 givenname: Edyta orcidid: 0000-0002-8805-0744 surname: Adamska-Patruno fullname: Adamska-Patruno, Edyta – sequence: 3 givenname: Witold orcidid: 0000-0003-0776-6714 surname: Bauer fullname: Bauer, Witold – sequence: 4 givenname: Joanna surname: Fiedorczuk fullname: Fiedorczuk, Joanna – sequence: 5 givenname: Urszula surname: Krasowska fullname: Krasowska, Urszula – sequence: 6 givenname: Monika surname: Moroz fullname: Moroz, Monika – sequence: 7 givenname: Maria surname: Gorska fullname: Gorska, Maria – sequence: 8 givenname: Adam orcidid: 0000-0002-4522-4978 surname: Kretowski fullname: Kretowski, Adam |
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Cites_doi | 10.1371/journal.pone.0098984 10.3945/ajcn.2009.27781 10.1186/s12263-018-0593-7 10.1155/2014/202759 10.1371/journal.pone.0096149 10.1079/PHN2005898 10.1038/oby.2008.318 10.1038/oby.2009.159 10.3945/ajcn.111.026955 10.1007/s00394-019-01955-0 10.3390/nu11040834 10.1007/s00439-009-0656-3 10.1093/jn/135.9.2075 10.1093/aje/kwt028 10.1038/jhg.2011.87 10.2337/db12-0863 10.1002/oby.22464 10.1016/j.molmet.2019.06.011 10.1126/science.1141634 10.2478/jomb-2018-0023 10.1186/1741-7015-9-71 10.1016/j.beem.2011.11.003 10.1007/s12263-015-0454-6 10.1007/s12519-019-00290-y 10.1210/jc.2008-0472 10.1016/j.diabres.2019.107843 10.1017/S0007114511007410 10.1038/ijo.2010.244 10.1038/ijo.2008.174 10.3390/nu9101064 10.1136/bmj.311.7011.986 10.1007/s12519-019-00243-5 10.1177/2047487319878371 10.1186/s12986-016-0098-6 10.1186/s13018-018-0769-2 10.1038/ng.274 10.1016/S2213-8587(19)30026-9 10.1016/j.mayocp.2016.09.017 10.1056/NEJMoa0803839 10.3945/ajcn.2009.27958 |
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Keywords | dietary carbohydrates glucose homeostasis gene-diet interaction dietary fat macronutrients FTO gene dietary protein obesity |
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References | Xu (ref_6) 2019; 15 Loh (ref_2) 2019; 27S Bego (ref_34) 2019; 38 Ceriello (ref_7) 2019; 26 Speakman (ref_15) 2008; 16 Wing (ref_28) 2009; 125 Kumar (ref_4) 2017; 92 Steemburgo (ref_16) 2013; 6 ref_10 ref_32 Cecil (ref_40) 2008; 359 Lappalainen (ref_41) 2012; 108 Wardle (ref_14) 2009; 33 Heitmann (ref_45) 1995; 311 Fu (ref_3) 2019; 15 Mu (ref_17) 2017; 46 Graff (ref_31) 2013; 62 Sonestedt (ref_11) 2009; 90 Haupt (ref_12) 2009; 117 Sales (ref_18) 2014; 2014 Park (ref_36) 2013; 178 Xiao (ref_33) 2015; 8 Dai (ref_39) 2018; 13 Saeedi (ref_5) 2019; 157 Frayling (ref_26) 2007; 316 Chauhan (ref_30) 2011; 56 Wing (ref_37) 2011; 35 Kretowski (ref_20) 2015; 10 ref_25 ref_24 McCaffery (ref_44) 2012; 95 Loos (ref_9) 2012; 26 Jaacks (ref_1) 2019; 7 ref_21 Hagstromer (ref_23) 2006; 9 Wardle (ref_13) 2008; 93 Goscik (ref_22) 2019; 58 Thorleifsson (ref_8) 2009; 41 Fernandez (ref_35) 2005; 135 Vimaleswaran (ref_19) 2016; 13 Zhao (ref_38) 2009; 17 ref_29 Bauer (ref_43) 2009; 90 Ranzenhofer (ref_42) 2019; 27 Merritt (ref_27) 2018; 13 |
References_xml | – ident: ref_32 doi: 10.1371/journal.pone.0098984 – volume: 90 start-page: 951 year: 2009 ident: ref_43 article-title: Obesity genes identified in genome-wide association studies are associated with adiposity measures and potentially with nutrient-specific food preference publication-title: Am. J. Clin. Nutr. doi: 10.3945/ajcn.2009.27781 – volume: 13 start-page: 4 year: 2018 ident: ref_27 article-title: FTO genotype, dietary protein intake, and body weight in a multiethnic population of young adults: A cross-sectional study publication-title: Genes Nutr. doi: 10.1186/s12263-018-0593-7 – volume: 2014 start-page: 202759 year: 2014 ident: ref_18 article-title: Nutrigenomics: Definitions and advances of this new science publication-title: J. Nutr. Metab. doi: 10.1155/2014/202759 – ident: ref_10 doi: 10.1371/journal.pone.0096149 – volume: 9 start-page: 755 year: 2006 ident: ref_23 article-title: The International Physical Activity Questionnaire (IPAQ): A study of concurrent and construct validity publication-title: Public Health Nutr. doi: 10.1079/PHN2005898 – ident: ref_24 – volume: 16 start-page: 1961 year: 2008 ident: ref_15 article-title: Polymorphisms of the FTO gene are associated with variation in energy intake, but not energy expenditure publication-title: Obesity doi: 10.1038/oby.2008.318 – volume: 17 start-page: 2254 year: 2009 ident: ref_38 article-title: The role of obesity-associated loci identified in genome-wide association studies in the determination of pediatric BMI publication-title: Obesity doi: 10.1038/oby.2009.159 – volume: 95 start-page: 1477 year: 2012 ident: ref_44 article-title: Obesity susceptibility loci and dietary intake in the Look AHEAD Trial publication-title: Am. J. Clin. Nutr. doi: 10.3945/ajcn.111.026955 – volume: 58 start-page: 2929 year: 2019 ident: ref_22 article-title: The MC4R genetic variants are associated with lower visceral fat accumulation and higher postprandial relative increase in carbohydrate utilization in humans publication-title: Eur. J. Nutr. doi: 10.1007/s00394-019-01955-0 – ident: ref_21 doi: 10.3390/nu11040834 – volume: 125 start-page: 615 year: 2009 ident: ref_28 article-title: Analysis of FTO gene variants with measures of obesity and glucose homeostasis in the IRAS Family Study publication-title: Hum. Genet. doi: 10.1007/s00439-009-0656-3 – volume: 135 start-page: 2075 year: 2005 ident: ref_35 article-title: Mechanisms by which dietary fatty acids modulate plasma lipids publication-title: J. Nutr. doi: 10.1093/jn/135.9.2075 – volume: 178 start-page: 780 year: 2013 ident: ref_36 article-title: Association of the FTO obesity risk variant rs8050136 with percentage of energy intake from fat in multiple racial/ethnic populations: The PAGE study publication-title: Am. J. Epidemiol. doi: 10.1093/aje/kwt028 – volume: 56 start-page: 720 year: 2011 ident: ref_30 article-title: Common variants of FTO and the risk of obesity and type 2 diabetes in Indians publication-title: J. Hum. Genet. doi: 10.1038/jhg.2011.87 – volume: 62 start-page: 1763 year: 2013 ident: ref_31 article-title: The influence of obesity-related single nucleotide polymorphisms on BMI across the life course: The PAGE study publication-title: Diabetes doi: 10.2337/db12-0863 – volume: 27 start-page: 1023 year: 2019 ident: ref_42 article-title: The FTO Gene and Measured Food Intake in 5- to 10-Year-Old Children Without Obesity publication-title: Obesity doi: 10.1002/oby.22464 – volume: 27S start-page: S33 year: 2019 ident: ref_2 article-title: Epigenetic disturbances in obesity and diabetes: Epidemiological and functional insights publication-title: Mol. Metab. doi: 10.1016/j.molmet.2019.06.011 – volume: 316 start-page: 889 year: 2007 ident: ref_26 article-title: A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity publication-title: Science doi: 10.1126/science.1141634 – volume: 38 start-page: 153 year: 2019 ident: ref_34 article-title: Association of FTO Gene Variant (rs8050136) with Type 2 Diabetes and Markers of Obesity, Glycaemic Control and Inflammation publication-title: J. Med. Biochem. doi: 10.2478/jomb-2018-0023 – ident: ref_25 doi: 10.1186/1741-7015-9-71 – volume: 6 start-page: 97 year: 2013 ident: ref_16 article-title: The rs9939609 polymorphism in the FTO gene is associated with fat and fiber intakes in patients with type 2 diabetes publication-title: J. Nutr. Nutr. – volume: 26 start-page: 211 year: 2012 ident: ref_9 article-title: Genetic determinants of common obesity and their value in prediction publication-title: Best Pract. Res. Clin. Endocrinol. Metab. doi: 10.1016/j.beem.2011.11.003 – volume: 10 start-page: 4 year: 2015 ident: ref_20 article-title: The rs340874 PROX1 type 2 diabetes mellitus risk variant is associated with visceral fat accumulation and alterations in postprandial glucose and lipid metabolism publication-title: Genes Nutr. doi: 10.1007/s12263-015-0454-6 – volume: 117 start-page: 194 year: 2009 ident: ref_12 article-title: Variation in the FTO gene influences food intake but not energy expenditure publication-title: Exp. Clin. Endocrinol. Diabetes – volume: 15 start-page: 313 year: 2019 ident: ref_3 article-title: Big challenges: Obesity and type 2 diabetes in children and adolescents publication-title: World J. Pediatr. doi: 10.1007/s12519-019-00290-y – volume: 93 start-page: 3640 year: 2008 ident: ref_13 article-title: Obesity associated genetic variation in FTO is associated with diminished satiety publication-title: J. Clin. Endocrinol. Metab. doi: 10.1210/jc.2008-0472 – volume: 157 start-page: 107843 year: 2019 ident: ref_5 article-title: Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9(th) edition publication-title: Diabetes Res. Clin. Pract. doi: 10.1016/j.diabres.2019.107843 – volume: 108 start-page: 1859 year: 2012 ident: ref_41 article-title: Association of the fat mass and obesity-associated (FTO) gene variant (rs9939609) with dietary intake in the Finnish Diabetes Prevention Study publication-title: Br. J. Nutr. doi: 10.1017/S0007114511007410 – volume: 8 start-page: 9744 year: 2015 ident: ref_33 article-title: Correlation between polymorphism of FTO gene and type 2 diabetes mellitus in Uygur people from northwest China publication-title: Int. J. Clin. Exp. Med. – volume: 35 start-page: 1173 year: 2011 ident: ref_37 article-title: Analysis of FTO gene variants with obesity and glucose homeostasis measures in the multiethnic Insulin Resistance Atherosclerosis Study cohort publication-title: Int. J. Obes. doi: 10.1038/ijo.2010.244 – volume: 33 start-page: 42 year: 2009 ident: ref_14 article-title: The FTO gene and measured food intake in children publication-title: Int. J. Obes. doi: 10.1038/ijo.2008.174 – ident: ref_29 doi: 10.3390/nu9101064 – volume: 46 start-page: 869 year: 2017 ident: ref_17 article-title: Dietary Patterns and Overweight/Obesity: A Review Article publication-title: Iran. J. Public Health – volume: 311 start-page: 986 year: 1995 ident: ref_45 article-title: Dietary underreporting by obese individuals--is it specific or non-specific? publication-title: BMJ doi: 10.1136/bmj.311.7011.986 – volume: 15 start-page: 405 year: 2019 ident: ref_6 article-title: Clinical characteristics and beta-cell function of Chinese children and adolescents with type 2 diabetes from 2009 to 2018 publication-title: World J. Pediatr. doi: 10.1007/s12519-019-00243-5 – volume: 26 start-page: 25 year: 2019 ident: ref_7 article-title: Diabetes as a cardiovascular risk factor: An overview of global trends of macro and micro vascular complications publication-title: Eur. J. Prev. Cardiol. doi: 10.1177/2047487319878371 – volume: 13 start-page: 39 year: 2016 ident: ref_19 article-title: Interaction between FTO gene variants and lifestyle factors on metabolic traits in an Asian Indian population publication-title: Nutr. Metab. doi: 10.1186/s12986-016-0098-6 – volume: 13 start-page: 65 year: 2018 ident: ref_39 article-title: FTO variant is not associated with osteoarthritis in the Chinese Han population: Replication study for a genome-wide association study identified risk loci publication-title: J. Orthop. Surg. Res. doi: 10.1186/s13018-018-0769-2 – volume: 41 start-page: 18 year: 2009 ident: ref_8 article-title: Genome-wide association yields new sequence variants at seven loci that associate with measures of obesity publication-title: Nat. Genet. doi: 10.1038/ng.274 – volume: 7 start-page: 231 year: 2019 ident: ref_1 article-title: The obesity transition: Stages of the global epidemic publication-title: Lancet Diabetes Endocrinol. doi: 10.1016/S2213-8587(19)30026-9 – volume: 92 start-page: 251 year: 2017 ident: ref_4 article-title: Review of Childhood Obesity: From Epidemiology, Etiology, and Comorbidities to Clinical Assessment and Treatment publication-title: Mayo Clin. Proc. doi: 10.1016/j.mayocp.2016.09.017 – volume: 359 start-page: 2558 year: 2008 ident: ref_40 article-title: An obesity-associated FTO gene variant and increased energy intake in children publication-title: N. Engl. J. Med. doi: 10.1056/NEJMoa0803839 – volume: 90 start-page: 1418 year: 2009 ident: ref_11 article-title: Fat and carbohydrate intake modify the association between genetic variation in the FTO genotype and obesity publication-title: Am. J. Clin. Nutr. doi: 10.3945/ajcn.2009.27958 |
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Snippet | Numerous studies have identified the various fat mass and obesity-associated (FTO) genetic variants associated with obesity and its metabolic consequences;... Numerous studies have identified the various fat mass and obesity-associated ( ) genetic variants associated with obesity and its metabolic consequences;... Numerous studies have identified the various fat mass and obesity-associated ( FTO ) genetic variants associated with obesity and its metabolic consequences;... |
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SubjectTerms | Adolescent Adult Aged Alpha-Ketoglutarate-Dependent Dioxygenase FTO - genetics blood glucose Body composition Body fat Body Mass Index Carbohydrates Diabetes Diet Diet - adverse effects Diet - statistics & numerical data Diet Surveys dietary fat Eating - genetics Energy Energy intake European Continental Ancestry Group - genetics Exercise Female Food Gastrointestinal surgery Genes Genetic Predisposition to Disease - genetics Genotype Glucose glucose tolerance tests Hemoglobin hips Humans insulin Insulin resistance Laboratories lipid content Lipids Male mass Metabolism Middle Aged Nutrients - analysis Nutrition research nutrition-genotype interaction Nutritional Physiological Phenomena - genetics Obesity Obesity - genetics physical activity Poland Polymorphism, Single Nucleotide Proteins questionnaires Software Variance analysis Vegetarianism visceral fat waist circumference Weight control Young Adult |
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Title | The Impact of FTO Genetic Variants on Obesity and Its Metabolic Consequences is Dependent on Daily Macronutrient Intake |
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