Restricted accessResearch articleFirst published online 2020-9
Assessing the effectiveness of actionable nutrigenomics and lifestyle genomics interventions for weight management in clinical practice: A critical,scoping review with directions for future research
The use of nutrigenomics and lifestyle genomics in clinical practice has the potential to optimize weight-related outcomes for patients.
Aim:
A scoping review was conducted to summarize and evaluate the current body of knowledge related to the effectiveness of providing DNA-based lifestyle advice on weight-related outcomes, with the aim of providing direction for future research.
Method:
Primary studies were included if they were written in English, evaluated weight-related and/or body mass index and/or body composition outcomes, and provided participants with an actionable genetic-based lifestyle intervention; interventions that only provided information on genetic risk for diseases/conditions were excluded. Data was extracted from each article meeting inclusion criteria (N=3) and the studies were critically appraised for methodological limitations.
Results:
Research in this area is promising, but limited. Specific limitations relate to study designs, the nature of the recommendations provided to participants, small (underpowered) sample sizes, the use of self-reported weight/BMI data and lack of consideration of important confounding factors.
Conclusions:
Therefore, the effectiveness of nutrigenomics and lifestyle genomics interventions for weight management in clinical practice cannot yet be conclusively determined. Recommendations for future research are detailed in the present manuscript.
ArkadianosIValdesAMMarinosE, et al. (2007) Improved weight management using genetic information to personalize a calorie controlled diet. Nutrition Journal6: 29.
3.
ArskeyHO’MalleyL (2005) Scoping studies: Towards a methodological framework. International Journal of Social Research Methodology8(1): 19–32.
4.
Casas-AgustenchPArnettDKSmithCE, et al. (2014) Saturated fat intake modulates the association between an obesity genetic risk score and body mass index in two US populations. Journal of the Academy of Nutrition and Dietetics114(12): 1954–1966.
5.
Celis-MoralesCLivingstoneKMMarsauxCF, et al.(2014) Design and baseline characteristics of the Food4Me study: A web-based randomised controlled trial of personalised nutrition in seven European countries. Genes and Nutrition10: 450.
6.
Celis-MoralesCLivingstoneKMWoolheadC, et al.(2015) How reliable is internet-based self-reported identity, socio-demographic and obesity measures in European adults?Genes and Nutrition10: 476.
7.
Celis-MoralesCMarsauxCFLivingstoneKM, et al. (2017) Can genetic-based advice help you lose weight? Findings from the Food4Me European randomized controlled trial. American Journal of Clinical Nutrition105: 1204–1213.
8.
ColettaAMSanchezBO’ConnorA, et al. (2018) Alignment of diet prescription to genotype does not promote greater weight loss success in women with obesity participating in an exercise and weight loss program. Obesity Science & Practice4(6): 554–574.
9.
CONSORT (2019) Welcome to the CONSORT website. Available from:www.consort-statement.org/(accessed 25 June 2019).
10.
CorellaDPelosoGArnettDK, et al. (2009) APOA2, dietary fat, and body mass index: Replication of a gene-diet interaction in 3 independent populations. Archives of Internal Medicine169(20): 1897–1906.
EldridgeSMChanCLCampbellMJ, et al.(2016) CONSORT 2010 statement: Extension to randomised pilot and feasibility trials. The BMJ355: i5239.
13.
FieldACamargoCOginoS (2013) The merits of subtyping obesity one size does not fit all. Journal of the American Medical Association02115: 4–5.
14.
FinkelsteinEARuhmCJKosaKM (2005) Economic causes and consequences of obesity. Annual Review of Public Health26(1): 239–257.
15.
FrankwichKAEgnatiosJKenyonML, et al.(2015) Differences in weight loss between persons on standard balanced vs nutrigenetic diets in a randomized controlled trial. Clinical Gastroenterology and Hepatology13(9): 1625–1632.
16.
GarauletMSmithCEHernández-GonzálezT, et al. (2011) PPARγ Pro12Ala interacts with fat intake for obesity and weight loss in a behavioural treatment based on the Mediterranean diet. Molecular Nutrition and Food Research55(12): 1771–179.
17.
GardnerCDTrepanowskiJFDel GobboLC, et al. (2018) Effect of low-fat vs low-carbohydrate diet on 12-month weight loss in overweight adults and the association with genotype pattern or insulin secretion: The DIETFITS randomized clinical trial. Journal of the American Medical Association319(7): 667–679.
18.
GeikerNRWAstrupAHjorthMF, et al. (2018) Does stress influence sleep patterns, food intake, weight gain, abdominal obesity and weight loss interventions and vice versa?Obesity Review19(1): 81–97.
19.
GibneyMJWalshMC (2013) The future direction of personalised nutrition: My diet, my phenotype, my genes. The Proceedings of the Nutrition Society72(2): 219–225.
20.
GillilandJARangelCYHealyMA, et al. (2012) Linking childhood obesity to the built environment: A multi-level analysis of home and school neighbourhood factors associated with body mass index. Canadian Journal of Public Health103(9): 1–3.
GrimaldiKAvan OmmenBOrdovasJM, et al. (2017) Proposed guidelines to evaluate scientific validity and evidence for genotype-based dietary advice. Genes and Nutrition12(1): 1–12.
23.
HorneJGillilandJMadillJ, et al. (2020) A critical examination of legal and ethical considerations of nutrigenetic testing with recommendations for improving regulation in Canada: From science to consumer. Journal of Law and the Biosciences. DOI: 10.1093/jlb/lsaa003.
24.
HorneJGillilandJO’ConnorC, et al. (2019) Study protocol of a pragmatic randomized controlled trial incorporated into the Group Lifestyle BalanceTM Program: The nutrigenomics, overweight/obesity and weight management trial (the NOW Trial). BMC Public Health19(1): 1–10.
25.
HorneJMadillJO’ConnorC, et al. (2018) A systematic review of genetic testing and lifestyle behaviour change: Are we using high-quality genetic interventions and considering behaviour change theory?Lifestyle Genomics11(1): 49–63.
26.
KaufmanDJBollingerJMDvoskinRL, et al. (2012) Risky business: Risk perception and the use of medical services among customers of DTC personal genetic testing. Journal of Genetic Counseling21: 413–422.
27.
MainaGAlbertUSalviV, et al. (2004) Weight gain during long-term treatment of obsessive-compulsive disorder: A prospective comparison between serotonin reuptake inhibitors. Journal of Clinical Psychiatry65(10): 1365–1371.
28.
MerrittDCJamnikJEl-sohemyA (2018) FTO genotype, dietary protein intake, and body weight in a multiethnic population of young adults: A cross-sectional study. Genes and Nutrition13(4): 1–10.
NielsenDEEl-SohemyA (2014) Disclosure of genetic information and change in dietary intake: A randomized controlled trial. PLOS ONE9: e112665.
35.
NielsenDRShihSEl-SohemyA (2014) Perceptions of genetic testing for personalized nutrition: A randomized trial of DNA-based dietary advice. Journal of Nutrigenetics and Nutrigenomics7(2): 94–104
36.
Nutrigenomix, Inc. (2019) Available at:www.nutrigenomix.com/(accessed 6 February 2019).
37.
Pathway Genomics (2019) Available at:www.pathway.com (accessed 12 August 2019).
38.
PhillipsCMKesse-GuyotEMcManusR, et al.(2012) High dietary saturated fat intake accentuates obesity risk associated with the fat mass and obesity-associated gene in adults. Journal of Nutrition142(5): 824–831.
39.
RheeEJ (2017) Weight cycling and its cardiometabolic impact. Journal of Obesity and Metabolic Syndrome26(4): 237–242.
40.
RogersonDSoltaniHCopelandR (2016) The weight-loss experience: A qualitative exploration. BMC Public Health4(16): 371.
41.
SeabrookJAAvisonWR (2010) Genotype–environment interaction and sociology: Contributions and complexities. Social Science & Medicine70(9): 1277–1284.
42.
SoleymaniTDanielSGarveyWT (2016) Weight maintenance: Challenges, tools and strategies for primary care physicians. Obesity Review17(1): 81–93.
SuiZRamanJHanB, et al. (2019) Recent trends in intensive treatments of obesity: Is academic research matching public interest?Surgery for Obesity and Related Diseases15(5): 766–776.
45.
Vallée MarcotteBCormierHGarneauV, et al. (2019) Nutrigenetic testing for personalized nutrition: An evaluation of public perceptions, attitudes, and concerns in a population of French Canadians. Lifestyle Genomics11(3–6): 155–162.
46.
ZhangXQiQZhangC, et al.(2012) FTO Genotype and 2-year change in body composition and fat distribution in response to weight-loss diets: The POUNDS LOST Trial. Diabetes61(11): 3005–3011.
