Disclosure of genetic information and change in dietary intake: A randomized controlled trial

PLoS ONE

Volumn 9, Issue 11, 2014, Pages

  Nielsen, Daiva E ^a   El Sohemy, Ahmed ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ASCORBIC ACID; CAFFEINE; CARBOHYDRATE; DIPEPTIDYL CARBOXYPEPTIDASE; SODIUM;

ACE GENE; ADULT; ALLELE; ARTICLE; BEHAVIOR CHANGE; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DIETARY INTAKE; DOUBLE BLIND PROCEDURE; FEMALE; FOOD FREQUENCY QUESTIONNAIRE; GENETIC INFORMATION; GENETIC RISK; GENETIC SCREENING; HUMAN; HUMAN EXPERIMENT; INFORMATION; MALE; NORMAL HUMAN; RANDOMIZED CONTROLLED TRIAL; SODIUM INTAKE; SUGAR INTAKE; VITAMIN INTAKE; DIET; INTERPERSONAL COMMUNICATION; NUTRIGENOMICS; PERSONALIZED MEDICINE; PROCEDURES; PSYCHOLOGY; STATISTICAL MODEL;

ADULT; DIET; DISCLOSURE; FEMALE; GENETIC TESTING; HUMANS; LINEAR MODELS; MALE; NUTRIGENOMICS; PRECISION MEDICINE;

EID: 84911893836     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0112665     Document Type: Article

References (41)

1. Caulfield T, McGuire AL (2012) Direct-to-consumer genetic testing: perceptions, problems, and policy responses. Annu Rev Med 63: 23-33.
2. McBride CM, Koehly LM, Sanderson SC, Kaphingst KA (2010) The behavioral response to personalized genetic information: will genetic risk profiles motivate individuals and families to choose more healthful behaviors? Annu Rev Public Health 31: 89-103.
3. Christensen KD, Green RC (2013) How could disclosing incidental information from whole-genome sequencing affect patient behavior? Per Med 10: 377-386.
4. Desroches S, Lapointe A, Ratte S, Gravel K, Legare F, et al. (2011) Interventions to enhance adherence to dietary advice for preventing and managing chronic diseases in adults: a study protocol. BMC Public Health 11: 111.
5. Leighton JW, Valverde K, Bernhardt BA (2011) The general public's understanding and perception of direct-to-consumer genetic test results. Public Health Genomics 15: 11-21.
6. Cherkas LF, Harris JM, Levinson E, Spector TD, Prainsack B (2010) A survey of UK public interest in internet-based personal genome testing. PLoS One 5: e13473.
7. Goddard KA, Duquette D, Zlot A, Johnson J, Annis-Emeott A, et al. (2009) Public awareness and use of direct-to-consumer genetic tests: results from 3 state population-based surveys, 2006. Am J Public Health 99: 442-445.
8. Stewart-Knox BJ, Bunting BP, Gilpin S, Parr HJ, Pinhao S, et al. (2009) Attitudes toward genetic testing and personalised nutrition in a representative sample of European consumers. Br J Nutr 101: 982-989.
9. Kolor K, Duquette D, Zlot A, Foland J, Anderson B, et al. (2012) Public awareness and use of direct-to-consumer personal genomic tests from four state population-based surveys, and implications for clinical and public health practice. Genet Med 14: 860-867.
10. Kaput J (2008) Nutrigenomics research for personalized nutrition and medicine. Curr Opin Biotechnol 19: 110-120.
11. Nielsen DE, El-Sohemy A (2012) Applying genomics to nutrition and lifestyle modification. Per Med 9: 739-749.
12. Wesselius A, Zeegers MP (2013) Direct-to-consumer genetic testing. OA Epidemiology. 1:4.
13. Nielsen DE, El-Sohemy A (2012) A randomized trial of genetic information for personalized nutrition. Genes Nutr 7: 559-566.
14. Maher B (2011) Nature readers flirt with personal genomics. Nature 478: 19.
15. Kaufman DJ, Bollinger JM, Dvoskin RL, Scott JA (2012) Risky business: risk perception and the use of medical services among customers of DTC personal genetic testing. J Genet Couns 21: 413-422.
16. Eny KM, Corey PN, El-Sohemy A (2009) Dopamine D2 receptor genotype (C957T) and habitual consumption of sugars in a free-living population of men and women. J Nutrigenet Nutrigenomics 2: 235-242.
17. Cahill LE, Fontaine-Bisson B, El-Sohemy A (2009) Functional genetic variants of glutathione S-transferase protect against serum ascorbic acid deficiency. Am J Clin Nutr 90: 1411-1417.
18. Cornelis MC, El-Sohemy A, Kabagambe EK, Campos H (2006) Coffee, CYP1A2 genotype, and risk of myocardial infarction. JAMA 295: 1135-1141.
19. Palatini P, Ceolotto G, Ragazzo F, Dorigatti F, Saladini F, et al. (2009) CYP1A2 genotype modifies the association between coffee intake and the risk of hypertension. J Hypertens 27: 1594-1601.
20. Eny KM, Wolever TM, Corey PN, El-Sohemy A (2010) Genetic variation in TAS1R2 (Ile191Val) is associated with consumption of sugars in overweight and obese individuals in 2 distinct populations. Am J Clin Nutr 92: 1501-1510.
21. Giner V, Poch E, Bragulat E, Oriola J, Gonzalez D, et al. (2000) Reninangiotensin system genetic polymorphisms and salt sensitivity in essential hypertension. Hypertension 35: 512-517.
22. Poch E, Gonzalez D, Giner V, Bragulat E, Coca A, et al. (2001) Molecular basis of salt sensitivity in human hypertension. Evaluation of renin-angiotensinaldosterone system gene polymorphisms. Hypertension 38: 1204-1209.
23. He J, Kelly TN, Zhao Q, Li H, Huang J, et al. (2013) Genome-wide association study identifies 8 novel loci associated with blood pressure responses to interventions in Han Chinese. Circ Cardiovasc Genet 6: 598-607.
24. Hamza TH, Chen H, Hill-Burns EM, Rhodes SL, Montimurro J, et al. (2011) Genome-wide gene-environment study identifies glutamate receptor GRIN2A as a Parkinson's disease modifier gene via interaction with coffee. PLoS Genet 7: e1002237.
25. Nawrot P, Jordan S, Eastwood J, Rotstein J, Hugenholtz A, et al. (2003) Effects of caffeine on human health. Food Addit Contam 20: 1-30.
26. National Research Council (2006) Dietary Reference Intakes: The Essential Guide to Nutrient Requirements. The National Academies Press: Washington, DC.
27. Nishida C, Uauy R, Kumanyika S, Shetty P (2004) The joint WHO/FAO expert consultation on diet, nutrition and the prevention of chronic diseases: process, product and policy implications. Public Health Nutr 7: 245-250.
28. Bloss CS, Schork NJ, Topol EJ (2011) Effect of direct-to-consumer genomewide profiling to assess disease risk. N Engl J Med 364: 524-534.
29. Collier R (2012) Predisposed to risk but not change. CMAJ 184: E407-408.
30. Grant RW, O'Brien KE, Waxler JL, Vassy JL, Delahanty LM, et al. (2013) Personalized genetic risk counseling to motivate diabetes prevention: a randomized trial. Diabetes Care 36: 13-19.
31. Bloss CS, Madlensky L, Schork NJ, Topol EJ (2011) Genomic information as a behavioral health intervention: can it work? Per Med 8: 659-667.
32. Marteau TM, French DP, Griffin SJ, Prevost AT, Sutton S, et al. (2010) Effects of communicating DNA-based disease risk estimates on risk-reducing behaviours. Cochrane Database Syst Rev: CD007275.
33. Arkadianos I, Valdes AM, Marinos E, Florou A, Gill RD, et al. (2007) Improved weight management using genetic information to personalize a calorie controlled diet. Nutr J 6: 29.
34. Chao S, Roberts JS, Marteau TM, Silliman R, Cupples LA, et al. (2008) Health behavior changes after genetic risk assessment for Alzheimer disease: The REVEAL Study. Alzheimer Dis Assoc Disord 22: 94-97.
35. Cornelis MC, Monda KL, Yu K, Paynter N, Azzato EM, et al. (2011) Genomewide meta-analysis identifies regions on 7p21 (AHR) and 15q24 (CYP1A2) as determinants of habitual caffeine consumption. PLoS Genet 7: e1002033.
36. Green ED, Guyer MS (2011) Charting a course for genomic medicine from base pairs to bedside. Nature 470: 204-213.
37. McBride CM, Bryan AD, Bray MS, Swan GE, Green ED (2012) Health behavior change: can genomics improve behavioral adherence? Am J Public Health 102: 401-405.
38. Ferguson LR, Barnett MPG (2012) Research in nutrigenomics and potential applications to practice. Nutrition Diet 69: 198-202.
39. Institute of Medicine (2013) Sodium Intake in Populations: Assessment of Evidence. Washington, DC: The National Academies Press.
40. Bibbins-Domingo K, Chertow GM, Coxson PG, Moran A, Lightwood JM, et al. (2010) Projected effect of dietary salt reductions on future cardiovascular disease. N Engl J Med 362: 590-599.
41. Gollust SE, Gordon ES, Zayac C, Griffin G, Christman MF, et al. (2012) Motivations and perceptions of early adopters of personalized genomics: perspectives from research participants. Public Health Genomics 15: 22-30.