Nutrigenomics: Tailoring Nutrition Based on Genes

Mary Christine Wheatley
Wheatley Research Consultancy, Bagley, Minnesota, USA
Correspondence to: mchristinewheatley@gmail.com

DOI: https://doi.org/10.70389/PJG.100002

Additional information

• Ethical approval: N/a
• Consent: N/a
• Funding: No industry funding
• Conflicts of interest: N/a
• Author contribution: Mary Christine Wheatley – Conceptualization, Writing – original draft, review and editing
• Guarantor: Mary Christine Wheatley
• Provenance and peer-review:
  Commissioned and externally peer-reviewed
• Data availability statement: N/a

Keywords: nutrigenomics, gene-nutrient interactions, personalized nutrition, genetic polymorphisms, disease prevention.

Peer Review
Received: 5 August 2024
Accepted: 13 October 2024
Published: 28 October 2024

Introduction

Nutrigenomics, a rapidly advancing field of nutritional science, explores the intersection of nutrition and genetic expression, offering transformative insights into how our genes influence our dietary needs and responses. This innovative approach tailors dietary recommendations to individual genetic profiles, heralding a new era of personalized nutrition aimed at preventing disease and optimizing health.¹ Understanding the genetic basis for differences in nutrient metabolism can help manage and prevent nutrition-related diseases, effectively moving toward a more personalized dietary approach in clinical practice.² The study of nutrigenomics is not only about ­tailoring diets to genetic makeup but also about ­understanding how nutrients affect gene expression. This dual focus has significant implications for developing dietary strategies that could potentially alter gene expression in ways that may prevent, or even treat, disease.³ This review will explore various applications of nutrigenomics, from its role in disease prevention to its implications for public health and personalized medicine. In this article, the discussion is structured around the core areas of nutrigenomics research, practical applications, and the broader societal implications, including ethical and legal concerns. By integrating insights from multiple disciplines, the article aims to provide a comprehensive overview of how nutrigenomics is reshaping our understanding of nutrients’ role in human health.

Fundamentals of Nutrigenomics

Nutrigenomics is a scientific discipline at the intersection of genomics and nutrition, focusing on understanding how our genetic makeup affects our response to diet and how different nutrients can affect gene expression. This field holds tremendous potential in modern medicine, particularly in the realm of personalized nutrition, where dietary plans are tailored to an individual’s genetic profile to optimize health and prevent disease.⁴

Gene–nutrient Interactions and Genetic Polymorphisms

The central concept of nutrigenomics is the gene– nutrient interaction. This refers to the effects that ­nutrients have on the genome, proteome, and metabolome, which in turn influence an individual’s health status. Genetic polymorphisms or variations in DNA sequence among individuals can significantly affect nutritional responses and predispose individuals to various health conditions or influence the efficacy of certain nutrients.⁵ For example, variations in the MTHFR gene can affect folate metabolism and influence the risk of developing cardiovascular diseases and certain types of cancer.⁶

Technological Advances in Nutrigenomics

Technological advancements have been pivotal in the expansion of nutrigenomics. High-throughput sequencing technologies, bioinformatics, and systems biology approaches have enabled researchers to conduct comprehensive analyses of how nutrients interact with the genome at different levels. These technologies facilitate the detailed mapping of gene–nutrient interactions on a scale previously unattainable, driving forward our understanding and application of personalized nutrition strategies.⁷ Nutrigenomics also integrates with other omics technologies, such as transcriptomics, proteomics, and metabolomics, to provide a holistic view of the physiological impacts of diet at the molecular level. This comprehensive approach helps in identifying biomarkers for dietary intake and disease risk, which are crucial for developing personalized dietary recommendations that are not only safe but also effective in managing and preventing diseases.⁸

Clinical Applications

The integration of nutrigenomics into clinical practice could revolutionize preventive medicine and dietetics by enabling more precise nutritional interventions based on individual genetic profiles, thereby improving health outcomes and potentially reducing healthcare costs associated with diet-related diseases.⁹ By tailoring dietary recommendations to the individual’s genetic makeup, clinicians can better manage conditions like obesity, diabetes, and heart disease, which are often influenced by nutritional factors. This personalized approach not only optimizes patient care but also enhances compliance and efficacy of dietary interventions, making preventive strategies more effective and patient-specific.¹⁰

Genetic Variation and Dietary Response

Genetic Influence on Nutrient Metabolism

The metabolism of nutrients is deeply influenced by genetic variations that impact the functionality of enzymes and metabolic pathways integral to nutrient utilization and overall health. For instance, genetic polymorphisms in the MTHFR gene significantly affect folate metabolism, influencing processes such as DNA repair, methylation, and synthesis. Variants in this gene can lead to differences in susceptibility to cardiovascular diseases due to altered homocysteine levels, which are modifiable through dietary folate intake.¹¹ Additionally, variations in the CYP450 gene family play a critical role in the metabolism of lipids and various medications, affecting an individual’s response to dietary fats and drug therapy.¹² This gene family’s broad impact on metabolizing external substances highlights its importance in personalized medicine and nutrition, where dietary recommendations can be tailored based on an individual’s genetic makeup to optimize health outcomes and prevent adverse reactions.¹³ Furthermore, the SLC2A2 gene, which encodes for GLUT2 glucose transporters, demonstrates another dimension of nutrient–gene interaction. Variants in this gene can affect glucose homeostasis and susceptibility to Type 2 diabetes by altering the efficiency of glucose transport into cells. This suggests that individuals with certain genotypes may benefit from adjusted carbohydrate intake to manage blood sugar levels effectively.¹⁴

Case Studies on Macronutrients and Micronutrients

The relationship between genetic profiles and dietary responses to macronutrients and micronutrients is complex and influenced by numerous genetic markers.¹⁵ Notably, the APOE gene, with its variations, significantly impacts how individuals metabolize lipids. Individuals carrying the E4 allele of the APOE gene exhibit a heightened response to dietary cholesterol and saturated fats, which can elevate their risk for hyperlipidemia and coronary artery disease.¹⁶ This genetic predisposition necessitates tailored dietary recommendations to mitigate health risks associated with high-fat diets. In contrast, the AMY1 gene, which encodes the enzyme salivary amylase, crucial for starch digestion, varies greatly among individuals and populations.¹⁷ Higher copy numbers of the AMY1 gene are linked to increased amylase production, enhancing the digestion of starchy foods and potentially moderating blood glucose levels.^18,19 Populations with diets high in starch tend to have more copies of the AMY1 gene, suggesting an evolutionary adaptation to diet. Conversely, fewer copies are associated with an increased risk of obesity and Type 2 diabetes, especially in environments with high starch intake.^20,21

Nutrigenomics in Disease Prevention

Nutrigenomics has emerged as a powerful tool in combating lifestyle diseases such as diabetes, cardiovascular diseases, and obesity by tailoring dietary recommendations to individual genetic profiles. This section explores how genetic predispositions contribute to disease risks and how personalized nutrition can mitigate these risks.

Genetic Basis of Lifestyle Diseases

The significant impact that nutrigenomics could have on lifestyle diseases is illustrated by the profound role of genetic variations in predisposing individuals to conditions such as Type 2 diabetes and obesity. Variants in the TCF7L2 gene, for example, influence insulin secretion and glucose production, raising diabetes risks among those with a high-carbohydrate diet.²² Similarly, the FTO gene affects appetite and dietary fat responses, making personalized dietary recommendations crucial for preventing obesity and its associated diabetes risk.²³ Cardiovascular health is also deeply influenced by genetic differences in lipid metabolism. Variants in the APOA5 gene, for instance, can lead to higher triglyceride levels from high-fat diets, requiring dietary adjustments to manage heart disease risks effectively.²⁴ Additionally, the LDLR gene affects cholesterol management, where mutations may increase atherosclerosis risk, emphasizing the need for diets high in plant sterols and stanols to mitigate cholesterol absorption.²⁵

Nutrigenomics and Obesity Prevention

Obesity is a multifaceted condition with both genetic and environmental components. Nutrigenomic strategies provide targeted dietary recommendations that cater to individual genetic predispositions, optimizing macronutrient ratios and caloric intake to combat obesity effectively.²⁶ A notable example involves the melanocortin-4 receptor (MC4R) gene, which plays a critical role in energy homeostasis and appetite regulation. Studies have found that individuals with specific variants of the MC4R gene may have altered satiety responses, making them more prone to overeating.^27,28 To address this genetic predisposition, research suggests that diets tailored to lower fat content and higher in complex carbohydrates can help mitigate the risk of obesity in these individuals. This dietary adjustment helps by potentially enhancing satiety and reducing overall caloric intake, thus preventing weight gain associated with this genetic variant.²⁹ Moreover, further research has expanded on the interaction between diet and the MC4R gene. For instance, individuals with the risk variant of this gene might also benefit from increased dietary fiber, which can further improve satiety and reduce the frequency of eating bouts.³⁰ This tailored approach not only aids in weight management but also aligns with ­broader ­dietary recommendations for metabolic health, ­emphasizing the importance of diet quality over mere caloric restriction.³¹

Practical Applications of Nutrigenomics

Current Applications of Nutrigenomics in Clinical Settings

The integration of nutrigenomics into clinical practice has transformed how healthcare providers address individual dietary needs, offering tailored nutritional advice based on genetic information. This section explores the current applications of nutrigenomics in various clinical settings. Nutrigenomics in Preventive Medicine. Clinicians are increasingly using genetic information to advise patients on preventive health strategies, particularly for chronic diseases like diabetes, cardiovascular disease, and obesity. By understanding individual genetic predispositions, healthcare providers can recommend specific dietary interventions that might mitigate risk or delay the onset of these conditions. Recent studies have demonstrated the effectiveness of nutrigenomic interventions in reducing biomarkers associated with metabolic syndromes and cardiovascular risks.^32–34

Personalized Nutrition Plans in Clinical Diets. In the realm of clinical dietetics, nutrigenomics provides a basis for crafting highly personalized nutrition plans. These plans consider genetic variations that affect nutrient metabolism, such as lactose intolerance or gluten sensitivity, thereby enhancing the efficacy of dietary interventions tailored to treat or manage specific health issues.^35,36 Research has shown that diets aligned with an individual’s genetic makeup are more effective in managing symptoms and improving health outcomes compared to standard dietary recommendations.^37,38 Nutrigenomics and Pharmacogenomics. The convergence of nutrigenomics with pharmacogenomics opens new avenues for integrated care approaches. For instance, understanding how genetic factors influence both drug metabolism and nutrient absorption can guide more precise medication and nutrition therapy, reducing adverse effects and optimizing therapeutic outcomes.³⁹ This integrated approach is particularly relevant in managing complex conditions such as cancer, where treatment efficacy and nutritional status are closely intertwined.^40,41 By adopting these nutrigenomic applications, clinical practices not only improve the accuracy of dietary recommendations but also contribute to more comprehensive health management strategies, enhancing patient care through personalized medicine.

Challenges in Translating Nutrigenomic Research into Practical Dietary Recommendations

Complexity of Genetic Information. The interpretation of genetic data in nutrigenomics is highly complex, given the vast number of genes, polymorphisms, and their interactions that influence nutritional outcomes. This complexity often makes it difficult for practitioners to derive clear and actionable dietary guidelines from genetic tests.^42,43 Additionally, the interaction between multiple genetic factors and environmental influences, such as diet, lifestyle, and microbiome, adds another layer of complexity in creating personalized nutrition plans that are both effective and practical.⁴⁴ Lack of Standardization in Nutrigenomic Testing. The field of nutrigenomics still faces a significant challenge in the standardization of genetic testing. Variability in test methodologies and the interpretation of results can lead to inconsistencies in dietary recommendations. Furthermore, there is a need for more robust regulatory frameworks to ensure the accuracy and reliability of nutrigenomic testing, which is essential for its practical application in clinical settings.^45,46

Ethical, Legal, and Social Implications

Ethical Considerations in Nutrigenomics

Privacy and Consent. The ethical challenges in nutrigenomics are heavily centered on privacy, individual autonomy, and informed consent. Ensuring informed consent is crucial, requiring clear communication about the implications of genetic testing, including potential psychological impacts and risks of data leakage.^47,48 These concerns are compounded by the threat of genetic discrimination by employers or insurers, despite existing legal frameworks like the Genetic Information Nondiscrimination Act in the United States, which aims to protect individuals but may still leave gaps in regions lacking robust laws.^49–51 Data Security and Regulatory Needs. Advances in technology facilitate easier storage and processing of large volumes of genetic data, intensifying privacy issues. The key challenge is balancing the health benefits derived from genetic data against the risks of privacy breaches.⁵² This situation necessitates stringent security measures to control access and use of genetic data and calls for evolving ethical guidelines and stronger regulatory frameworks to keep pace with technological advancements, ensuring that the integration of nutrigenomics into healthcare is conducted ethically.^53,54

Legal and Regulatory Considerations Aspects in Nutrigenomics

Regulatory Compliance and Standards. The regulatory framework for nutrigenomics is intricate, navigating the intersection of dietary supplements and medical advice. In the United States, nutrigenomic testing might be regulated by the Food and Drug Administration (FDA) if it involves health claims, requiring strict validation.55 In Europe, such tests are subject to the Novel Food Regulation, mandating comprehensive safety assessments before market entry.56 These regulations ensure that nutrigenomic services adhere to both local and international safety and efficacy standards. Consumer Protection and Data Privacy. Consumer trust in nutrigenomics hinges on the accuracy of the genetic tests and the claims made about them. The U.S. legislation, like the Genetic Information Nondiscrimination Act, offers some protection against genetic data misuse, though it may not fully encompass all nutrigenomic practices.^57,58 Moreover, stringent data protection measures are crucial, especially in Europe where the General Data Protection Regulation (GDPR), the toughest privacy and security law in the world, mandates strict data handling and privacy protocols to safeguard personal genetic information.^59,60 Marketing practices must also maintain high ethical standards to prevent misleading claims about the benefits of personalized nutrition, ensuring that promotions are truthful and scientifically substantiated.^61,62

Social Implications of Nutrigenomics

Accessibility and Equity. The potential of nutrigenomics to enhance personal health management is substantial, yet issues of accessibility and equity remain significant concerns. The high costs associated with genetic testing and personalized nutrition plans could limit access primarily to more affluent individuals and regions, potentially exacerbating health disparities.^63–65 Efforts to make these services more accessible and affordable across different socioeconomic groups are essential to prevent the widening of health disparities and ensure that the benefits of nutrigenomics reach all segments of society, including underserved populations.^66–68 Cultural Considerations and Policy Development. Moreover, the integration of nutrigenomics into mainstream healthcare raises complex cultural and ethical issues. Dietary habits are deeply ingrained in cultural identities, and the acceptance of dietary advice based on genetic testing can vary significantly across cultures.^69,70 Policymaking in this field must consider these cultural sensitivities to develop nutrigenomic services that are both respectful and effective.⁷¹ Engaging communities in the development of these policies is crucial for tailoring services to meet diverse needs and for educating the public about the potential benefits and limitations of nutrigenomics.^72,73

Conclusion

This review has systematically explored the field of nutrigenomics, highlighting its fundamental concepts and the transformative potential it holds for personalized nutrition and preventive healthcare. The article examined how genetic variations influence individual responses to nutrients, which can significantly impact the management and prevention of diseases such as diabetes, obesity, and cardiovascular disorders. Through detailed case studies, it provided insights into how personalized dietary recommendations, tailored to individual genetic profiles, are being implemented to enhance health outcomes and mitigate disease risks. As nutrigenomics continues to advance, it promises to play an increasingly pivotal role in shaping the future of dietary planning and public health. The integration of genomic data into routine healthcare practices is expected to refine how dietary guidelines are personalized, moving beyond one-size-fits-all recommendations to more precise and effective interventions based on genetic makeup. This evolution will likely lead to a more nuanced understanding of the interaction between diet and genes, further pushing the boundaries of how we prevent and manage chronic diseases.

In conclusion, as nutrigenomics evolves, it is poised to redefine the paradigms of nutrition and preventive medicine. The ongoing advancements in genetic research and biotechnology will enhance our ability to tailor nutrition plans that are not only personalized but also proactive in maintaining health and preventing disease. The future of nutrigenomics holds exciting possibilities for individualized healthcare, with the potential to significantly impact societal health outcomes on a global scale. The successful application of this science will depend on addressing the ethical, legal, and social implications that come with such profound technological changes in healthcare.

References

1 Ferguson LR. Nutrigenomics approaches to functional foods. J Am Diet Assoc. 2009;109(3):452-58.
https://doi.org/10.1016/j.jada.2008.11.024
 
2 Corella D, Ordovas JM. Nutrigenomics in cardiovascular medicine. Circ Cardiovasc Genet. 2009;2(6):637-51.
https://doi.org/10.1161/CIRCGENETICS.109.891366
 
3 Mutch DM, Wahli W, Williamson G. Nutrigenomics and nutrigenetics: The emerging faces of nutrition. FASEB J. 2005;19(12):1602-16.
https://doi.org/10.1096/fj.05-3911rev
 
4 Fallaize R, Macready AL, Butler LT, Ellis JA, Lovegrove JA. An insight into the public acceptance of nutrigenomic-based personalised nutrition. Nutr Res Rev. 2013;26(1):39-48.
https://doi.org/10.1017/S0954422413000024
 
5 Kiani AK, Bonetti G, Donato K, Kaftalli J, Herbst KL, Stuppia L, et al. Polymorphisms, diet and nutrigenomics. J Prev Med Hyg. 2022;63(2 Suppl 3):E125.
 
6 Liew SC, Gupta ED. Methylenetetrahydrofolate reductase (MTHFR) C677T polymorphism: Epidemiology, metabolism and the associated diseases. Eur J Med Genet. 2015;58(1):1-0.
https://doi.org/10.1016/j.ejmg.2014.10.004
 
7 Mathers JC. Nutrigenomics in the modern era. Proc Nutr Soc. 2017;76(3):265-75.
https://doi.org/10.1017/S002966511600080X
 
8 Brennan L, de Roos B. Nutrigenomics: Lessons learned and future perspectives. Am J Clin Nutr. 2021;113(3):503-16.
https://doi.org/10.1093/ajcn/nqaa366
 
9 Marcum JA. Nutrigenetics/nutrigenomics, personalized nutrition, and precision healthcare. Curr Nutr Rep. 2020;9:338-45.
https://doi.org/10.1007/s13668-020-00327-z
 
10 Archibald A, Joffe Y. The role of nutrigenetics and nutrigenomics in clinical nutrition practice. ADCES Pract. 2021;9(2):34-40.
https://doi.org/10.1177/2633559X20984137
 
11 Gibney ER. Personalised nutrition-phenotypic and genetic variation in response to dietary intervention. Proc Nutr Soc. 2020;79(2):236-45.
https://doi.org/10.1017/S0029665119001137
 
12 Zanger UM, Schwab M. Cytochrome P450 enzymes in drug metabolism: regulation of gene expression, enzyme activities, and impact of genetic variation. Clin Pharm Therap. 2013;138(1):103-41.
https://doi.org/10.1016/j.pharmthera.2012.12.007
 
13 Minich DM, Bland JS. Personalized lifestyle medicine: relevance for nutrition and lifestyle recommendations. Sci World J. 2013;2013(1):129841.
https://doi.org/10.1155/2013/129841
 
14 Vesnina A, Prosekov A, Kozlova O, Atuchin V. Genes and eating preferences, their roles in personalized nutrition. Genes. 2020;11(4):357.
https://doi.org/10.3390/genes11040357
 
15 O’Rourke JA, McCabe CE, Graham MA. Dynamic gene expression changes in response to micronutrient, macronutrient, and multiple stress exposures in soybean. Funct Integr Genomics. 2020;20(3):321-41.
https://doi.org/10.1007/s10142-019-00709-9
 
16 Marais AD. Apolipoprotein E in lipoprotein metabolism, health and cardiovascular disease. Pathology. 2019;51(2):165-76.
https://doi.org/10.1016/j.pathol.2018.11.002
 
17 Mandel AL, Peyrot des Gachons C, Plank KL, Alarcon S, Breslin PA. Individual differences in AMY1 gene copy number, salivary α-amylase levels, and the perception of oral starch. PLoS One. 2010;5(10):e13352.
https://doi.org/10.1371/journal.pone.0013352
 
18 Mandel AL, Peyrot des Gachons C, Plank KL, Alarcon S, Breslin PA. Individual differences in AMY1 gene copy number, salivary α-amylase levels, and the perception of oral starch. PLoS One. 2010;5(10):e13352.
https://doi.org/10.1371/journal.pone.0013352
 
19 Poole AC, Goodrich JK, Youngblut ND, Luque GG, Ruaud A, Sutter JL, et al. Human salivary amylase gene copy number impacts oral and gut microbiomes. Cell Host Microbe. 2019;25(4):553-64.
https://doi.org/10.1016/j.chom.2019.03.001
 
20 Atkinson FS, Hancock D, Petocz P, Brand-Miller JC. The physiologic and phenotypic significance of variation in human amylase gene copy number. Am J Clin Nutr. 2018;108(4):737-48.
https://doi.org/10.1093/ajcn/nqy164
 
21 Rukh G, Ericson U, Andersson-Assarsson J, Orho-Melander M, Sonestedt E. Dietary starch intake modifies the relation between copy number variation in the salivary amylase gene and BMI. Am J Clin Nutr. 2017;106(1):256-62.
https://doi.org/10.3945/ajcn.116.149831
 
22 Fuchsberger C, Flannick J, Teslovich TM, Mahajan A, Agarwala V, Gaulton KJ, et al. The genetic architecture of Type 2 diabetes. Nature. 2016;536(7614):41-7.
https://doi.org/10.1038/nature18642
 
23 Loos RJ, Yeo GS. The bigger picture of FTO-The first GWAS-identified obesity gene. Nat Rev Endocrinol. 2014;10(1):51-61.
https://doi.org/10.1038/nrendo.2013.227
 
24 Jørgensen AB, Frikke-Schmidt R, Nordestgaard BG, Tybjærg-Hansen A. Loss-of-function mutations in APOC3 and risk of ischemic vascular disease. N Engl J Med. 2014;371(1):32-41.
https://doi.org/10.1056/NEJMoa1308027
 
25 Jørgensen AB, Frikke-Schmidt R, Nordestgaard BG, Tybjærg-Hansen A. Loss-of-function mutations in APOC3 and risk of ischemic vascular disease. N Engl J Med. 2014;371(1):32-41.
https://doi.org/10.1056/NEJMoa1308027
 
26 Jääskeläinen T, Paananen J, Lindström J, Eriksson JG, Tuomilehto J, Uusitupa M, Finnish Diabetes Prevention Study Group. Genetic predisposition to obesity and lifestyle factors – the combined analyses of twenty-six known BMI-and fourteen known waist: Hip ratio (WHR)- associated variants in the Finnish Diabetes Prevention Study. Br J Nutr 2013;110(10):1856-65.
https://doi.org/10.1017/S0007114513001116
 
27 Chiurazzi M, Cozzolino M, Orsini RC, Di Maro M, Di Minno MN, Colantuoni A. Impact of genetic variations and epigenetic mechanisms on the risk of obesity. Int J Mol Sci. 2020;21(23):9035.
https://doi.org/10.3390/ijms21239035
 
28 Pan Q, Delahanty LM, Jablonski KA, Knowler WC, Kahn SE, Florez JC, et al. Variation at the melanocortin 4 receptor gene and response to weight-loss interventions in the diabetes prevention program. Obesity. 2013;21(9):E520-6.
https://doi.org/10.1002/oby.20459
 
29 Crovesy L, Rosado EL. Interaction between genes involved in energy intake regulation and diet in obesity. Nutrition. 2019;67:110547.
https://doi.org/10.1016/j.nut.2019.06.027
 
30 Pokushalov E, Ponomarenko A, Garcia C, Pak I, Shrainer E, Seryakova M, et al. The impact of glucomannan, inulin, and psyllium supplementation (SolowaysTM) on weight loss in adults with FTO, LEP, LEPR, and MC4R Polymorphisms: A randomized, double-blind, placebo-controlled trial. Nutrients. 2024;16(4):557.
https://doi.org/10.3390/nu16040557
 
31 Chermon D, Birk R. Deciphering the interplay between genetic risk scores and lifestyle factors on individual obesity predisposition. Nutrients. 2024;16(9):1296.
https://doi.org/10.3390/nu16091296
 
32 Sirdah MM, Reading NS. Genetic predisposition in type 2 diabetes: A promising approach toward a personalized management of diabetes. Clin Genet. 2020;98(6):525-47.
https://doi.org/10.1111/cge.13772
 
33 Rana S, Kumar S, Rathore N, Padwad Y, Bhushan S. Nutrigenomics and its impact on life style associated metabolic diseases. Curr Genom. 2016;17(3):261-78.
https://doi.org/10.2174/1389202917666160202220422
 
34 Fitó M, Melander O, Martínez JA, Toledo E, Carpéné C, Corella D. Advances in integrating traditional and omic biomarkers when analyzing the effects of the Mediterranean diet intervention in cardiovascular prevention. Int J Mol Sci. 2016;17(9):1469.
https://doi.org/10.3390/ijms17091469
 
35 Roosan D, Wu Y, Tran M, Huang Y, Baskys A, Roosan MR. Opportunities to integrate nutrigenomics into clinical practice and patient counseling. Eur. J. Clin. Nutr. 2023;77(1):36-44.
https://doi.org/10.1038/s41430-022-01146-x
 
36 Abrahams M, Frewer LJ, Bryant E, Stewart-Knox B. Factors determining the integration of nutritional genomics into clinical practice by registered dietitians. Trends Food Sci Technol. 2017;59:139-47.
https://doi.org/10.1016/j.tifs.2016.11.005
 
37 de Toro-Martín J, Arsenault BJ, Després JP, Vohl MC. Precision nutrition: a review of personalized nutritional approaches for the prevention and management of metabolic syndrome. Nutrients. 2017;9(8):913.
https://doi.org/10.3390/nu9080913
 
38 Drabsch T, Holzapfel C. A scientific perspective of personalised gene-based dietary recommendations for weight management. Nutrients. 2019;11(3):617.
https://doi.org/10.3390/nu11030617
 
39 Kohlmeier M. Nutrient Metabolism: structures, Functions, and Genes. Academic Press. 2015.
 
40 Lessa RC, Alves F. Nutrigenomics and integrative medicine: shaping the future of cancer management. Mol Diag Cancer. 2024. Available from: http://dx.doi.org/10.5772/intechopen.1003928
https://doi.org/10.5772/intechopen.1003928
 
41 Dwivedi S, Shukla S, Goel A, Sharma P, Khattri S, Pant KK. Nutrigenomics in breast cancer. In: Barh, D. (ed.), Omics Approaches in Breast Cancer: Towards Next-Generation Diagnosis, Prognosis and Therapy. 2014:127-51.
https://doi.org/10.1007/978-81-322-0843-3_6
 
42 Goodarzi MO. Genetics of obesity: What genetic association studies have taught us about the biology of obesity and its complications. Lancet Diabetes Endocrinol. 2018;6(3):223-36.
https://doi.org/10.1016/S2213-8587(17)30200-0
 
43 Emilsson V, Thorleifsson G, Zhang B, Leonardson AS, Zink F, Zhu J, et al. Genetics of gene expression and its effect on disease. Nature. 2008;452(7186):423-8.
https://doi.org/10.1038/nature06758
 
44 Drabsch T, Holzapfel C. A scientific perspective of personalised gene-based dietary recommendations for weight management. Nutrients. 2019;11(3):617.
https://doi.org/10.3390/nu11030617
 
45 Singh V. Current challenges and future implications of exploiting the omics data into nutrigenetics and nutrigenomics for personalized diagnosis and nutrition-based care. Nutrition. 2023;110:112002.
https://doi.org/10.1016/j.nut.2023.112002
 
46 Brennan L, de Roos B. Nutrigenomics: Lessons learned and future perspectives. Am J Clin Nutr. 2021;113(3):503-16.
https://doi.org/10.1093/ajcn/nqaa366
 
47 Hurlimann T, Robitaille J, Vohl MC, Godard B. Ethical considerations in the implementation of nutrigenetics/nutrigenomics. Pers Med. 2017;14(1):75-83.
https://doi.org/10.2217/pme-2016-0035
 
48 Horne J, Gilliland J, Madill J, Shelley J. A critical examination of legal and ethical considerations for nutrigenetic testing with recommendations for improving regulation in Canada: From science to consumer. J Law Biosci. 2020;7(1):lsaa003. doi: 10.1093/jlb/lsaa003.
https://doi.org/10.1093/jlb/lsaa003
 
49 McDonald WS, Wagner JK, Deverka PA, Woods LA, Peterson JF, Williams MS. Genetic testing and employer-sponsored wellness programs: An overview of current vendors, products, and practices. Mol Genet Genomic Med. 2020;8(10):e1414.
https://doi.org/10.1002/mgg3.1414
 
50 Kohlmeier G. The risky business of lifestyle genetic testing: Protecting against harmful disclosure of genetic information. UCLA J Law Tech. 2007;11:1.
 
51 Sarmiento Rojas JP. Direct-to-consumer genetic testing: Rethinking privacy laws in the United States. Health L. & Pol’y Brief. 2020;14:21.
 
52 Detopoulou P, Voulgaridou G, Moschos P, Levidi D, Anastasiou T, Dedes V, et al. Artificial intelligence, nutrition, and ethical issues: a mini-review. Clin Nutr Open Sci. 2023;50:46-56.
https://doi.org/10.1016/j.nutos.2023.07.001
 
53 Hurlimann T, Robitaille J, Vohl MC, Godard B. Ethical considerations in the implementation of nutrigenetics/nutrigenomics. Pers Med. 2017;14(1):75-83.
https://doi.org/10.2217/pme-2016-0035
 
54 Kriaa A, Trabelsi H. Progress in nutrigenomics. In: Advances in Genomics: Methods and Applications, Singapore: Springer Nature Singapore. 2024 (pp. 213-25).
https://doi.org/10.1007/978-981-97-3169-5_11
 
55 Derecho CM. Regulations and ethical considerations in nutrigenomics research. In: Role of Nutrigenomics in Modern-Day Healthcare and Drug Discovery. Elsevier. 2023 (pp. 557-65).
https://doi.org/10.1016/B978-0-12-824412-8.00015-1
 
56 Röttger-Wirtz S, Alie DE. Personalised nutrition: The EU’s fragmented legal landscape and the overlooked implications of EU food law. Euro J Risk Reg. 2021;12(1):212-35.
https://doi.org/10.1017/err.2020.79
 
57 Kohlmeier G. The risky business of lifestyle genetic testing: Protecting against harmful disclosure of genetic information. UCLA J Law Tech. 2007;11:1.
 
58 Sarmiento Rojas JP. Direct-to-consumer genetic testing: Rethinking privacy laws in the United States. Health L. & Pol’y Brief. 2020;14:21.
 
59 Singh M, Sukunathan A, Jain S, Gupta SK, Singh RL, Gupta MK. Omics technology policy and society research. In: Integrative Omics. Academic Press. 2024 (pp. 379-400).
https://doi.org/10.1016/B978-0-443-16092-9.00023-0
 
60 Mahmoud-Davis SA. Direct-to-consumer genetic testing: Empowering EU consumers and giving meaning to the informed consent process within the IVDR and GDPR frameworks. Wash. Univ Global Stud Law Rev. 2020;19:1.
 
61 Berciano S, Figueiredo J, Brisbois TD, Alford S, Koecher K, Eckhouse S, et al. Precision nutrition: Maintaining scientific integrity while realizing market potential. Front Nutri. 2022;9:979665.
https://doi.org/10.3389/fnut.2022.979665
 
62 Zhu Y, Koecher K, Benoit V, Normington J, Menon R, Campbell J. Personalized nutrition: From science to consumer. In: Nutrition Science, Marketing Nutrition, Health Claims, and Public Policy, Academic Press. 2023 (pp. 267-86).
https://doi.org/10.1016/B978-0-323-85615-7.00017-3
 
63 Casillas A, Brown A, Li Z, Heber D, Norris KC. Precision nutrition and racial and ethnic minority health disparities. In: Precision Nutrition. Academic Press. 2024 (pp. 355-64).
https://doi.org/10.1016/B978-0-443-15315-0.00023-7
 
64 Mathers JC. Nutrigenomics in the modern era. Proc Nutr Soc. 2017;76(3):265-75.
https://doi.org/10.1017/S002966511600080X
 
65 Hurlimann T, Menuz V, Graham J, Robitaille J, Vohl MC, Godard B. Risks of nutrigenomics and nutrigenetics? What the scientists say. Genes Nutr. 2014;9:1-2.
https://doi.org/10.1007/s12263-013-0370-6
 
66 Casillas A, Brown A, Li Z, Heber D, Norris KC. Precision nutrition and racial and ethnic minority health disparities. In: Precision Nutrition. 2024 (pp. 355-64).
https://doi.org/10.1016/B978-0-443-15315-0.00023-7
 
67 Kohlmeier M, De Caterina R, Ferguson LR, Görman U, Allayee H, Prasad C, et al. Guide and position of the International Society of Nutrigenetics/Nutrigenomics on personalized nutrition: Part 2: Ethics, challenges and endeavors of precision nutrition. Lifesty Geno. 2016;9(1):28-46.
https://doi.org/10.1159/000446347
 
68 Godard B, Hurlimann T. Nutrigenomics for global health: ethical challenges for underserved populations. Curr Pharmacogeno Personal Med. (Formerly Current Pharmacogenomics). 2009;7(3):205-14.
https://doi.org/10.2174/1875692110907030205
 
69 Sikka T. Personalised nutrition: Studies in the biogenetics of race and food. Soc Ident. 2021;27(3):359-76.
https://doi.org/10.1080/13504630.2020.1828054
 
70 Singh V. Current challenges and future implications of exploiting the omics data into nutrigenetics and nutrigenomics for personalized diagnosis and nutrition-based care. Nutrition. 2023;110:112002.
https://doi.org/10.1016/j.nut.2023.112002
 
71 Ordovás J. Balancing public health/population nutrition and precision nutrition in the development of Dietary Guidelines. In: Precision Nutrition. Academic Press. 2024 (pp. 425-38).
https://doi.org/10.1016/B978-0-443-15315-0.00015-8
 
72 Beans JA, Trinidad SB, Blacksher E, Hiratsuka VY, Spicer P, Woodahl EL, et al. Communicating precision medicine research: multidisciplinary teams and diverse communities. Publ Heal Genom. 2022;25(5-6):155-63.
https://doi.org/10.1159/000525684
 
73 Joly Y, Avard D. Pharmacogenomics: Ethical, social, and public policy issues. In: The Road from Nanomedicine to Precision Medicine. Jenny Stanford Publishing. 2020 (pp. 791-827).
https://doi.org/10.1201/9781003027058-8

Cite this article as:
Wheatley MC. Nutrigenomics: Tailoring Nutrition Based on Genes. Premier Journal of Genetics 2024:1;100002

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