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Genetic Research and The Future of Nutrition Therapy

Yıl 2025, Cilt: 6 Sayı: 1, 23 - 30, 30.04.2025
https://doi.org/10.58208/cphs.1525307

Öz

Following the completion of the Human Genome Project in 2001, research has increasingly explored the interplay between genetics and biological processes, particularly in nutrition. Despite this interest, studies published in Turkish examining the relationship between genetics and nutrition remain limited. This review aims to synthesize current literature on the intersections of genetics, disease, and nutrition, focusing on how genetic structures influence nutritional needs and how diets can affect gene expression. It discusses the uses and limitations of genetic testing, noting their restricted utility in predicting complex disease risks. To enhance patient care, training curricula for healthcare providers must incorporate clinical genetics, molecular testing, and nutritional genomics. An evidence-based approach is essential to ensure that personalized dietary recommendations informed by genetic insights offer health benefits without causing harm. Ultimately, future research in nutrigenetics and nutrigenomics should investigate how dietary patterns affect gene expression, aiding clinicians in categorizing obese patients and managing weight loss stages. Although nutrigenomic profiling tests lack validation for clinical use currently, they hold potential for improving patient outcomes through targeted genetic counseling in the future.

Kaynakça

  • 1. International Human Genome Sequencing Consortium. Finishing the euchromatic sequence of the human genome. Nature. 2004;431(7011):931-945.
  • 2. Broad Institute. Elephant Genome Project. Available from: https://www.broadinstitute.org/elephant/elephant-genome-project Accessed June 12, 2024.
  • 3. US National Library of Medicine. Cells and DNA. Available from: https://medlineplus.gov/genetics/understanding/basics/ Accessed June 12, 2024.
  • 4. Kauwell GP. Epigenetics: what it is and how it can affect dietetics practice. J Am Diet Assoc. 2008;108(6):1056-1059.
  • 5. Genetics home reference. Direct-to-Consumer Genetic Testing. Bethesda: Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Department of Health and Human Services, 2019. Available from: https://www.genome.gov/dna-day/15-ways/direct-to-consumer-genomic-testing Accessed June 12, 2024.
  • 6. Nasir A, Bullo MMH, Ahmed Z, Imtiaz A, Yaqoob E, Jadoon M et al. Nutrigenomics: Epigenetics and cancer prevention: A comprehensive review. Crit Rev Food Sci Nutr. 2020;60(8):1375-1387.
  • 7. Ferguson LR, De Caterina R, Görman U, Allayee H, Kohlmeier M, Prasad C et al. Guide and Position of the International Society of Nutrigenetics/Nutrigenomics on Personalised Nutrition: Part 1 - Fields of Precision Nutrition. J Nutrigenet Nutrigenomics. 2016;9(1):12-27.
  • 8. Sousa C, Almeida MF, Sousa Barbosa C, Martins E, Janerio P, de Almeida IT, et al. The European Phenylketonuria Guidelines and the challenges on management practices in Portugal. J Pediatr Endocrinol Metab. 2019;32(6):623-629.
  • 9. Chiesa A, Spécola N, Poubel M, Vela-Amieva M, Jurecki E, Vilela DR et al. Adherence to PKU guidelines among patients with phenylketonuria: A cross-sectional national multicenter survey-based study in Argentina, Brazil, and Mexico. Mol Genet Metab Rep. 2023;38:101026.
  • 10. Zulyniak MA, de Souza RJ, Mente A, Kandasamy S, Nundy M, Desai D et al. A randomized controlled trial of the effects of a prudent diet on cardiovascular risk factors, gene expression, and DNA methylation - the Diet and Genetic Intervention (DIGEST) Pilot study. BMC Nutr 2016;2: 34.
  • 11. Borrego-Yaniz G, Terrón-Camero LC, Kerick M, Andrés-León E, Martin J. A holistic approach to understanding immune-mediated inflammatory diseases: bioinformatic tools to integrate omics data. Comput Struct Biotechnol J. 2023;23:96-105.
  • 12. Gkouskou KK, Grammatikopoulou MG, Lazou E, Sanoudou D, Goulis DG, Eliopoulos AG. Genetically-Guided Medical Nutrition Therapy in Type 2 Diabetes Mellitus and Pre-diabetes: A Series of n-of-1 Superiority Trials. Front Nutr. 2022;9:772243.
  • 13. Uğuz N, Erden G, Güngör O, Bal C, Yıldırımkaya M. MTHFR geninde c677t ve/veya a1298c polimorfizmi tespit edilen bireylerde bu polimorfizm sıklıklarının incelenmesi. Journal of Clinical and Experimental Investigations, 2012;3(4): 472 - 476.
  • 14. Yang Q, Bailey L, Clarke R, Flandes WD, Liu T, Yesupriya A et al. Prospective study of methylenetetrahydrofolate reductase (MTHFR) variant C677T and risk of all-cause and cardiovascular disease mortality among 6000 US adults. Am J Clin Nutr. 2012;95(5):1245-1253.
  • 15. Ying J, Zhang J, Li P, Liu L, Li Y, Lau WWY et al. Enhanced recovery in patients with gestational diabetes mellitus and MTHFR 677 TT genotype after taking high-dose folic acid supplements during mid-late pregnancy: an open-label interventional study. Front Endocrinol (Lausanne). 2023;14:1007192.
  • 16. Diaz-Garcia H, Vilchis-Gil J, Castro-Cerritos KV, Rivera-Susunaga LE, Klünder-Klünder M, Granados-Rivron JT et al. Association between maternal diet, smoking, and the placenta MTHFR 677C/T genotype and global placental DNA methylation. Placenta. 2024;146:17-24.
  • 17. Clarke, R., Bennett, D. A., Parish, S., Verhoef, P., Dötsch-Klerk, M., MTHFR Studies Collaborative Group. Homocysteine and coronary heart disease: meta-analysis of MTHFR case-control studies, avoiding publication bias. PLoS medicine, 2012;9(2): e1001177.
  • 18. Zeisel SH. The Nutrigenetics of Choline. Principles of Nutrigenetics and Nutrigenomics. (ed: de Caterina, R, Martinez JA, Kohlmeier M.) Academic Press. 2020 Available from: https://zarrinparlab.org/wp-content/uploads/2020/03/Chapter-in-Principles-of-Nutrigenetics-and-Nutrigenomics-CATERINA_9780128045879.pdf Accessed June 12, 2024.
  • 19. Wu CH, Chang TY, Chen YC, Huang RS. PEMT rs7946 Polymorphism and Sex Modify the Effect of Adequate Dietary Choline Intake on the Risk of Hepatic Steatosis in Older Patients with Metabolic Disorders. Nutrients. 2023;15(14):3211.
  • 20. Micheletti C, Madeo G, Macchia A, Donato K, Cristoni S, Ceccarini MR et al. Nutrigenomics: SNPs correlated to vitamins' deficiencies. Clin Ter. 2023;174(Suppl 2(6)):173-182.
  • 21. Bennet AM, Di Angelantonio E, Ye Z, Wensley F, Dahlin A, Ahlbom A et al. Association of apolipoprotein E genotypes with lipid levels and coronary risk. JAMA. 2007;298(11):1300-1311.
  • 22. Packard CJ, Boren J, Taskinen MR. Causes and Consequences of Hypertriglyceridemia. Front Endocrinol (Lausanne). 2020;11:252.
  • 23. Tryndyak VP, Han T, Fuscoe JC, Ross SA, Beland FA, Pogribny IP: Status of hepatic DNA methylome predetermines and modulates the severity of non-alcoholic fatty liver injury in mice. BMC Genomics 2016;17:298.
  • 24. Ramos-Lopez O, Milagro FI, Allayee H, et al. Guide for Current Nutrigenetic, Nutrigenomic, and Nutriepigenetic Approaches for Precision Nutrition Involving the Prevention and Management of Chronic Diseases Associated with Obesity. J Nutrigenet Nutrigenomics. 2017;10(1-2):43-62. doi:10.1159/000477729
  • 25. Lai CQ, Corella D, Demissie S, Cupples LA, Adiconis X, Zhu Y et al. Dietary intake of n-6 fatty acids modulates effect of apolipoprotein A5 gene on plasma fasting triglycerides, remnant lipoprotein concentrations, and lipoprotein particle size: the Framingham Heart Study. Circulation. 2006;113(17):2062-2070.
  • 26. Zhang X, Qi Q, Bray GA, Hu FB, Sacks FM, Qi L: APOA5 genotype modulates 2-y changes in lipid profile in response to weight-loss diet intervention: the Pounds Lost Trial. Am J Clin Nutr 2012;96:917–922.
  • 27. King A, Saifi S, Smith J, Pilic L, Graham CAM, da Silva Anastacio V et al. Does personalised nutrition advice based on apolipoprotein E and methylenetetrahydrofolate reductase genotype affect dietary behaviour?. Nutr Health. 2022;28(3):467-476.
  • 28. Jiang J, Hong Y, Li W, Wang A, Jiang S, Jiang T et al. Chain Mediation Analysis of the Effects of Nutrition and Cognition on the Association of Apolipoprotein E ɛ4 with Neuropsychiatric Symptoms in Alzheimer's Disease. J Alzheimers Dis. 2023;96(2):669-681.
  • 29. Duan H, Zhou D, Xu N, Yang T, Wu Q, Wang Z et al. Association of Unhealthy Lifestyle and Genetic Risk Factors With Mild Cognitive Impairment in Chinese Older Adults. JAMA Netw Open. 2023;6(7):e2324031.
  • 30. Norgren J, Sindi S, Matton A, Kivipelto M, Kåreholt I. APOE-Genotype and Insulin Modulate Estimated Effect of Dietary Macronutrients on Cognitive Performance: Panel Analyses in Nondiabetic Older Adults at Risk of Dementia. J Nutr. 2023;153(12):3506-3520.
  • 31. Lan N, Lu Y, Zhang Y, Pu S, Xi H, Nie X et al. FTO - A Common Genetic Basis for Obesity and Cancer. Front Genet. 2020;11:559138.
  • 32. Naja F, Itani L, Hammoudeh S, Manzoor S, Abbas N, Radwan H et al. Dietary Patterns and Their Associations With the FTO and FGF21 Gene Variants Among Emirati Adults. Front Nutr. 2021;8:668901.
  • 33. Sonestedt E, Roos C, Gullberg B, Ericson U, Wirfält E, Orho-Melander M: Fat and carbohydrate intake modify the association between genetic variation in the FTO genotype and obesity. Am J Clin Nutr 2009;90:1418– 1425.
  • 34. Lappalainen T, Lindström J, Paananen J, Eriksson JG, Karhunen L, Tuomilehto J, Uusitupa M: Association of the fat mass and obesity-associated (FTO) gene variant (rs9939609) with dietary intake in the Finnish Diabetes Prevention Study. Br J Nutr 2012;108:1859–1865.
  • 35. Vimaleswaran KS, Bodhini D, Lakshmipriya N, Ramya K, Anjana RM, Sudha V, Lovegrove JA, Kinra S, Mohan V, Radha V: Interaction between FTO gene variants and lifestyle factors on metabolic traits in an Asian Indian population. Nutr Metab (Lond) 2016;13:39.
  • 36. Ortega-Azorín C, Sorlí JV, Asensio EM, Coltell O, Martínez-González MÁ, Salas-Salvadó J, Covas MI, Arós F, Lapetra J, Serra-Majem L, Gómez-Gracia E, Fiol M, Sáez-Tormo G, Pintó X, Muñoz MA, Ros E, Ordovás JM, Estruch R, Corella D: Associations of the FTO rs9939609 and the MC4R rs17782313 polymorphisms with type 2 diabetes are modulated by diet, being higher when adherence to the Mediterranean diet pattern is low. Cardiovasc Diabetol 2012;11:137.
  • 37. Zhang X, Qi Q, Zhang C, Smith SR, Hu FB, Sacks FM, Bray GA, Qi L: FTO genotype and 2-year change in body composition and fat distribution in response to weight-loss diets: the POUNDS LOST Trial. Diabetes 2012;61: 3005–3011.
  • 38. Zheng Y, Huang T, Zhang X, Rood J, Bray GA, Sacks FM, Qi L: Dietary fat modifies the effects of FTO genotype on changes in insulin sensitivity. J Nutr 2015;145:977–982.
  • 39. Bouchard C. Genetics of Obesity: What We Have Learned Over Decades of Research. Obesity (Silver Spring). 2021;29(5):802-820.
  • 40. Gali Ramamoorthy T, Begum G, Harno E, White A. Developmental programming of hypothalamic neuronal circuits: impact on energy balance control. Front Neurosci. 2015;9:126.
  • 41. Fenech M, El-Sohemy A, Cahill L, Ferguson LR, French TAC, Tai ES et al. Nutrigenetics and nutrigenomics: viewpoints on the current status and applications in nutrition research and practice. J Nutrigenet Nutrigenomics. 2011;4(2):69-89.
  • 42. Willett, W. 'Genetics in Dietary Analyses', Nutritional Epidemiology, 3rd edn, Monographs in Epidemiology and Biostatistics (2012; online edn, Oxford Academic, 24 Jan. 2013).
  • 43. Heijmans BT, Tobi EW, Stein AD, Putter H, Blauw GJ, Susser ES et al. Persistent epigenetic differences associated with prenatal exposure to famine in humans. Proc Natl Acad Sci U S A. 2008;105(44):17046-17049.
  • 44. Zheng T, Ni Y, Li J, Chow BKC, Panagiotou G. Designing Dietary Recommendations Using System Level Interactomics Analysis and Network-Based Inference. Front Physiol. 2017;8:753.
  • 45. Oh B. Direct-to-consumer genetic testing: advantages and pitfalls. Genomics Inform. 2019;17(3):e33.
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  • 48. Centers for Disease Control and Prevention Office of Public Health Genomics, The Evaluation of Genomic Applications in Pratice and Prevention (EGAPP) Working Group. Available from: https://www.cdc.gov/genomics/gtesting/file/print/EGAPP_factsheet.pdf Accessed June 12, 2024.
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Genetik Araştırmalar ve Beslenme Tedavisinin Geleceği

Yıl 2025, Cilt: 6 Sayı: 1, 23 - 30, 30.04.2025
https://doi.org/10.58208/cphs.1525307

Öz

İnsan Genomu Projesi’nin sonuçlarının 2001 yılında yayınlanmasından sonraki çalışmalar genetik bilgilerin biyolojik süreçleri nasıl etkilediği üzerine odaklanmıştır. Bu tarihten günümüze kadar Türkçe yayımlanmış, beslenmeyle ilintisini ortaya koyan çalışma sayısı yetersizdir. Bu derlemede genetik alanında önemli kavramlar açıklanarak genetik, hastalık ve beslenme ilintisi genetik yapının beslenme üzerindeki etkisi ve diyetin gen ifadesi üzerindeki etkileri hakkında güncel literatürün yorumlanması amaçlanmıştır. Genetik testlerin kullanım alanları ve sınırlılıkları tartışılmış, özellikle genetik testlerin karmaşık hastalıkların risk tahmininde sınırlı fayda sağladığı görülmüştür. Sağlık hizmeti sağlayıcılarının eğitim müfredatları klinik genetik, moleküler testler ve beslenme genomiği konusunda güçlendirilmelidir. Beslenme genomiğinden elde edilen bilgiyle kişiselleştirilmiş önerilerin bireylere sağlık açısından fayda sağladığını ve zarar vermediğini doğrulamak için kanıta dayalı bir yaklaşım sergilenmelidir. Sonuç olarak beslenme ve beslenme örüntülerinin gen ekspresyonunu nasıl etkilediğini inceleyecek gelecekteki nutrigenetik ve nutrigenomik çalışmaları, klinisyenlere obez hastaları alt tiplere ayırmada ve akut veya uzun süreli ağırlık kaybının farklı aşamalarını tanımlamada rehberlik edebilir. Her ne kadar nutrigenomik ve gen profili oluşturma testleri klinik uygulama açısından doğrulanmamış olsa da, gelecekte bu testler hedefe yönelik nutigenetik danışmanlık sağlanarak hastalık tedavi stratejilerinin geliştirilmesine yardımcı olabilir.

Kaynakça

  • 1. International Human Genome Sequencing Consortium. Finishing the euchromatic sequence of the human genome. Nature. 2004;431(7011):931-945.
  • 2. Broad Institute. Elephant Genome Project. Available from: https://www.broadinstitute.org/elephant/elephant-genome-project Accessed June 12, 2024.
  • 3. US National Library of Medicine. Cells and DNA. Available from: https://medlineplus.gov/genetics/understanding/basics/ Accessed June 12, 2024.
  • 4. Kauwell GP. Epigenetics: what it is and how it can affect dietetics practice. J Am Diet Assoc. 2008;108(6):1056-1059.
  • 5. Genetics home reference. Direct-to-Consumer Genetic Testing. Bethesda: Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Department of Health and Human Services, 2019. Available from: https://www.genome.gov/dna-day/15-ways/direct-to-consumer-genomic-testing Accessed June 12, 2024.
  • 6. Nasir A, Bullo MMH, Ahmed Z, Imtiaz A, Yaqoob E, Jadoon M et al. Nutrigenomics: Epigenetics and cancer prevention: A comprehensive review. Crit Rev Food Sci Nutr. 2020;60(8):1375-1387.
  • 7. Ferguson LR, De Caterina R, Görman U, Allayee H, Kohlmeier M, Prasad C et al. Guide and Position of the International Society of Nutrigenetics/Nutrigenomics on Personalised Nutrition: Part 1 - Fields of Precision Nutrition. J Nutrigenet Nutrigenomics. 2016;9(1):12-27.
  • 8. Sousa C, Almeida MF, Sousa Barbosa C, Martins E, Janerio P, de Almeida IT, et al. The European Phenylketonuria Guidelines and the challenges on management practices in Portugal. J Pediatr Endocrinol Metab. 2019;32(6):623-629.
  • 9. Chiesa A, Spécola N, Poubel M, Vela-Amieva M, Jurecki E, Vilela DR et al. Adherence to PKU guidelines among patients with phenylketonuria: A cross-sectional national multicenter survey-based study in Argentina, Brazil, and Mexico. Mol Genet Metab Rep. 2023;38:101026.
  • 10. Zulyniak MA, de Souza RJ, Mente A, Kandasamy S, Nundy M, Desai D et al. A randomized controlled trial of the effects of a prudent diet on cardiovascular risk factors, gene expression, and DNA methylation - the Diet and Genetic Intervention (DIGEST) Pilot study. BMC Nutr 2016;2: 34.
  • 11. Borrego-Yaniz G, Terrón-Camero LC, Kerick M, Andrés-León E, Martin J. A holistic approach to understanding immune-mediated inflammatory diseases: bioinformatic tools to integrate omics data. Comput Struct Biotechnol J. 2023;23:96-105.
  • 12. Gkouskou KK, Grammatikopoulou MG, Lazou E, Sanoudou D, Goulis DG, Eliopoulos AG. Genetically-Guided Medical Nutrition Therapy in Type 2 Diabetes Mellitus and Pre-diabetes: A Series of n-of-1 Superiority Trials. Front Nutr. 2022;9:772243.
  • 13. Uğuz N, Erden G, Güngör O, Bal C, Yıldırımkaya M. MTHFR geninde c677t ve/veya a1298c polimorfizmi tespit edilen bireylerde bu polimorfizm sıklıklarının incelenmesi. Journal of Clinical and Experimental Investigations, 2012;3(4): 472 - 476.
  • 14. Yang Q, Bailey L, Clarke R, Flandes WD, Liu T, Yesupriya A et al. Prospective study of methylenetetrahydrofolate reductase (MTHFR) variant C677T and risk of all-cause and cardiovascular disease mortality among 6000 US adults. Am J Clin Nutr. 2012;95(5):1245-1253.
  • 15. Ying J, Zhang J, Li P, Liu L, Li Y, Lau WWY et al. Enhanced recovery in patients with gestational diabetes mellitus and MTHFR 677 TT genotype after taking high-dose folic acid supplements during mid-late pregnancy: an open-label interventional study. Front Endocrinol (Lausanne). 2023;14:1007192.
  • 16. Diaz-Garcia H, Vilchis-Gil J, Castro-Cerritos KV, Rivera-Susunaga LE, Klünder-Klünder M, Granados-Rivron JT et al. Association between maternal diet, smoking, and the placenta MTHFR 677C/T genotype and global placental DNA methylation. Placenta. 2024;146:17-24.
  • 17. Clarke, R., Bennett, D. A., Parish, S., Verhoef, P., Dötsch-Klerk, M., MTHFR Studies Collaborative Group. Homocysteine and coronary heart disease: meta-analysis of MTHFR case-control studies, avoiding publication bias. PLoS medicine, 2012;9(2): e1001177.
  • 18. Zeisel SH. The Nutrigenetics of Choline. Principles of Nutrigenetics and Nutrigenomics. (ed: de Caterina, R, Martinez JA, Kohlmeier M.) Academic Press. 2020 Available from: https://zarrinparlab.org/wp-content/uploads/2020/03/Chapter-in-Principles-of-Nutrigenetics-and-Nutrigenomics-CATERINA_9780128045879.pdf Accessed June 12, 2024.
  • 19. Wu CH, Chang TY, Chen YC, Huang RS. PEMT rs7946 Polymorphism and Sex Modify the Effect of Adequate Dietary Choline Intake on the Risk of Hepatic Steatosis in Older Patients with Metabolic Disorders. Nutrients. 2023;15(14):3211.
  • 20. Micheletti C, Madeo G, Macchia A, Donato K, Cristoni S, Ceccarini MR et al. Nutrigenomics: SNPs correlated to vitamins' deficiencies. Clin Ter. 2023;174(Suppl 2(6)):173-182.
  • 21. Bennet AM, Di Angelantonio E, Ye Z, Wensley F, Dahlin A, Ahlbom A et al. Association of apolipoprotein E genotypes with lipid levels and coronary risk. JAMA. 2007;298(11):1300-1311.
  • 22. Packard CJ, Boren J, Taskinen MR. Causes and Consequences of Hypertriglyceridemia. Front Endocrinol (Lausanne). 2020;11:252.
  • 23. Tryndyak VP, Han T, Fuscoe JC, Ross SA, Beland FA, Pogribny IP: Status of hepatic DNA methylome predetermines and modulates the severity of non-alcoholic fatty liver injury in mice. BMC Genomics 2016;17:298.
  • 24. Ramos-Lopez O, Milagro FI, Allayee H, et al. Guide for Current Nutrigenetic, Nutrigenomic, and Nutriepigenetic Approaches for Precision Nutrition Involving the Prevention and Management of Chronic Diseases Associated with Obesity. J Nutrigenet Nutrigenomics. 2017;10(1-2):43-62. doi:10.1159/000477729
  • 25. Lai CQ, Corella D, Demissie S, Cupples LA, Adiconis X, Zhu Y et al. Dietary intake of n-6 fatty acids modulates effect of apolipoprotein A5 gene on plasma fasting triglycerides, remnant lipoprotein concentrations, and lipoprotein particle size: the Framingham Heart Study. Circulation. 2006;113(17):2062-2070.
  • 26. Zhang X, Qi Q, Bray GA, Hu FB, Sacks FM, Qi L: APOA5 genotype modulates 2-y changes in lipid profile in response to weight-loss diet intervention: the Pounds Lost Trial. Am J Clin Nutr 2012;96:917–922.
  • 27. King A, Saifi S, Smith J, Pilic L, Graham CAM, da Silva Anastacio V et al. Does personalised nutrition advice based on apolipoprotein E and methylenetetrahydrofolate reductase genotype affect dietary behaviour?. Nutr Health. 2022;28(3):467-476.
  • 28. Jiang J, Hong Y, Li W, Wang A, Jiang S, Jiang T et al. Chain Mediation Analysis of the Effects of Nutrition and Cognition on the Association of Apolipoprotein E ɛ4 with Neuropsychiatric Symptoms in Alzheimer's Disease. J Alzheimers Dis. 2023;96(2):669-681.
  • 29. Duan H, Zhou D, Xu N, Yang T, Wu Q, Wang Z et al. Association of Unhealthy Lifestyle and Genetic Risk Factors With Mild Cognitive Impairment in Chinese Older Adults. JAMA Netw Open. 2023;6(7):e2324031.
  • 30. Norgren J, Sindi S, Matton A, Kivipelto M, Kåreholt I. APOE-Genotype and Insulin Modulate Estimated Effect of Dietary Macronutrients on Cognitive Performance: Panel Analyses in Nondiabetic Older Adults at Risk of Dementia. J Nutr. 2023;153(12):3506-3520.
  • 31. Lan N, Lu Y, Zhang Y, Pu S, Xi H, Nie X et al. FTO - A Common Genetic Basis for Obesity and Cancer. Front Genet. 2020;11:559138.
  • 32. Naja F, Itani L, Hammoudeh S, Manzoor S, Abbas N, Radwan H et al. Dietary Patterns and Their Associations With the FTO and FGF21 Gene Variants Among Emirati Adults. Front Nutr. 2021;8:668901.
  • 33. Sonestedt E, Roos C, Gullberg B, Ericson U, Wirfält E, Orho-Melander M: Fat and carbohydrate intake modify the association between genetic variation in the FTO genotype and obesity. Am J Clin Nutr 2009;90:1418– 1425.
  • 34. Lappalainen T, Lindström J, Paananen J, Eriksson JG, Karhunen L, Tuomilehto J, Uusitupa M: Association of the fat mass and obesity-associated (FTO) gene variant (rs9939609) with dietary intake in the Finnish Diabetes Prevention Study. Br J Nutr 2012;108:1859–1865.
  • 35. Vimaleswaran KS, Bodhini D, Lakshmipriya N, Ramya K, Anjana RM, Sudha V, Lovegrove JA, Kinra S, Mohan V, Radha V: Interaction between FTO gene variants and lifestyle factors on metabolic traits in an Asian Indian population. Nutr Metab (Lond) 2016;13:39.
  • 36. Ortega-Azorín C, Sorlí JV, Asensio EM, Coltell O, Martínez-González MÁ, Salas-Salvadó J, Covas MI, Arós F, Lapetra J, Serra-Majem L, Gómez-Gracia E, Fiol M, Sáez-Tormo G, Pintó X, Muñoz MA, Ros E, Ordovás JM, Estruch R, Corella D: Associations of the FTO rs9939609 and the MC4R rs17782313 polymorphisms with type 2 diabetes are modulated by diet, being higher when adherence to the Mediterranean diet pattern is low. Cardiovasc Diabetol 2012;11:137.
  • 37. Zhang X, Qi Q, Zhang C, Smith SR, Hu FB, Sacks FM, Bray GA, Qi L: FTO genotype and 2-year change in body composition and fat distribution in response to weight-loss diets: the POUNDS LOST Trial. Diabetes 2012;61: 3005–3011.
  • 38. Zheng Y, Huang T, Zhang X, Rood J, Bray GA, Sacks FM, Qi L: Dietary fat modifies the effects of FTO genotype on changes in insulin sensitivity. J Nutr 2015;145:977–982.
  • 39. Bouchard C. Genetics of Obesity: What We Have Learned Over Decades of Research. Obesity (Silver Spring). 2021;29(5):802-820.
  • 40. Gali Ramamoorthy T, Begum G, Harno E, White A. Developmental programming of hypothalamic neuronal circuits: impact on energy balance control. Front Neurosci. 2015;9:126.
  • 41. Fenech M, El-Sohemy A, Cahill L, Ferguson LR, French TAC, Tai ES et al. Nutrigenetics and nutrigenomics: viewpoints on the current status and applications in nutrition research and practice. J Nutrigenet Nutrigenomics. 2011;4(2):69-89.
  • 42. Willett, W. 'Genetics in Dietary Analyses', Nutritional Epidemiology, 3rd edn, Monographs in Epidemiology and Biostatistics (2012; online edn, Oxford Academic, 24 Jan. 2013).
  • 43. Heijmans BT, Tobi EW, Stein AD, Putter H, Blauw GJ, Susser ES et al. Persistent epigenetic differences associated with prenatal exposure to famine in humans. Proc Natl Acad Sci U S A. 2008;105(44):17046-17049.
  • 44. Zheng T, Ni Y, Li J, Chow BKC, Panagiotou G. Designing Dietary Recommendations Using System Level Interactomics Analysis and Network-Based Inference. Front Physiol. 2017;8:753.
  • 45. Oh B. Direct-to-consumer genetic testing: advantages and pitfalls. Genomics Inform. 2019;17(3):e33.
  • 46. Franzago M, Santurbano D, Vitacolonna E, Stuppia L. Genes and Diet in the Prevention of Chronic Diseases in Future Generations. Int J Mol Sci. 2020;21(7):2633.
  • 47. National Research Council (US) and Institute of Medicine (US) Roundtable on Translating Genomic-Based Research for Health. Direct-To-Consumer Genetic Testing: Summary of a Workshop. Washington (DC): National Academies Press (US); 2010.
  • 48. Centers for Disease Control and Prevention Office of Public Health Genomics, The Evaluation of Genomic Applications in Pratice and Prevention (EGAPP) Working Group. Available from: https://www.cdc.gov/genomics/gtesting/file/print/EGAPP_factsheet.pdf Accessed June 12, 2024.
  • 49. Pyeritz RE. The family history: the first genetic test, and still useful after all those years?. Genet Med. 2012;14(1):3-9.
  • 50. Hickey KT, Katapodi MC, Coleman B, Reuter-Rice K, Starkweather AR. Improving Utilization of the Family History in the Electronic Health Record. J Nurs Scholarsh. 2017;49(1):80-86.
  • 51. Berg AO, Baird MA, Botkin JR, Driscoll DA, Fishman PA, Guarino PD et al. National Institutes of Health State-of-the-Science Conference Statement: Family History and Improving Health. Ann Intern Med. 2009;151(12):872-877.
  • 52. Agrawal P, Kaur J, Singh J, Rasane P, Sharma K, Bhadariya V et al. Genetics, Nutrition, and Health: A New Frontier in Disease Prevention. J Am Nutr Assoc. 2024;43(4):326-338.
  • 53. Castle D, Ries NM. Ethical, legal and social issues in nutrigenomics: the challenges of regulating service delivery and building health professional capacity. Mutat Res. 2007;622(1-2):138-143.
Toplam 53 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Genetik ve Kişiselleştirilmiş Beslenme Bilimi
Bölüm Derleme
Yazarlar

Tuğba Kahvecioğlu 0000-0003-0864-7506

Funda Elmacioglu 0000-0001-8887-4615

Gönderilme Tarihi 31 Temmuz 2024
Kabul Tarihi 1 Kasım 2024
Yayımlanma Tarihi 30 Nisan 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 6 Sayı: 1

Kaynak Göster

Vancouver Kahvecioğlu T, Elmacioglu F. Genetik Araştırmalar ve Beslenme Tedavisinin Geleceği. SBGY. 2025;6(1):23-30.