Perceived impact of diabetes genetic risk testing among patients at high phenotypic risk for type 2 diabetes

Diabetes Care

Volumn 34, Issue 3, 2011, Pages 568-573

  Markowitz, Sarah M ^a   Park, Elyse R ^b,c   Delahanty, Linda M ^b,c   O'Brien, Kelsey E ^b,c   Grant, Richard W ^b,c  

^a WELLS COLLEGE   (United States)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BEHAVIOR; BLOOD PRESSURE MEASUREMENT; CLINICAL ARTICLE; CONTROLLED STUDY; DNA SEQUENCE; EXERCISE; FEMALE; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC RISK; HUMAN; KNOWLEDGE; LIFESTYLE; LIFESTYLE MODIFICATION; MALE; MOTIVATION; NON INSULIN DEPENDENT DIABETES MELLITUS; PERCEPTION; PHENOTYPE; RISK ASSESSMENT; SEMI STRUCTURED INTERVIEW;

AGED; DIABETES MELLITUS, TYPE 2; FEMALE; GENETIC TESTING; HUMANS; MALE; MIDDLE AGED;

EID: 79956144580     PISSN: 01495992     EISSN: 19355548     Source Type: Journal    
DOI: 10.2337/dc10-1960     Document Type: Article

References (24)

1. Knowler WC, Barrett-Connor E, Fowler SE, et al.; Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002;346: 393-403 (Pubitemid 34437694)
2. Gillies CL, Abrams KR, Lambert PC, et al. Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance: systematic review and meta-analysis. BMJ 2007;334: 299
3. Wilson PW, Meigs JB, Sullivan L, Fox CS, Nathan DM, D'Agostino RBS Sr. Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study. Arch Intern Med 2007; 167:1068-1074 (Pubitemid 46835795)
4. Blair SN, Kohl HW 3rd, Barlow CE, Paffenbarger RSJ Jr, Gibbons LW, Macera CA. Changes in physical fitness and allcause mortality. A prospective study of healthy and unhealthy men. JAMA 1995; 273:1093-1098
5. Franz MJ, Van Wormer JJ, Crain AL, et al. Weight-loss outcomes: a systematic review and meta-analysis of weight-loss clinical trials with a minimum 1-year follow-up. J Am Diet Assoc 2007;107:1755-1767 (Pubitemid 47464109)
6. Kaprio J, Tuomilehto J, Koskenvuo M, et al. Concordance for type 1 (insulin-dependent) and type 2 (non-insulin-dependent) diabetes mellitus in a population-based cohort of twins in Finland. Diabetologia 1992;35:1060-1067
7. de Miguel Yanes J, Shrader P, Pencina M, et al. Genetic risk reclassification for type 2 diabetes by age below or above 50 years using 40 type 2 diabetes risk single nucleotide polymorphisms. Diabetes Care 2011;34:121-125
8. Lyssenko V, Jonsson A, Almgren P, et al. Clinical risk factors, DNA variants, and the development of type 2 diabetes. N Engl J Med 2008;359:2220-2232
9. Meigs JB, Shrader P, Sullivan LM, et al. Genotype score in addition to common risk factors for prediction of type 2 diabetes. N Engl J Med 2008;359:2208-2219
10. van Hoek M, Dehghan A, Witteman JC, et al. Predicting type 2 diabetes based on polymorphisms from genome-wide association studies: a population-based study. Diabetes 2008;57:3122-3128
11. Lango H, Palmer CN, Morris AD, et al.; UK Type 2 Diabetes Genetics Consortium. Assessing the combined impact of 18 common genetic variants of modest effect sizes on type 2 diabetes risk. Diabetes 2008;57: 3129-3135
12. Manolio TA, Collins FS, Cox NJ, et al. Finding the missing heritability of complex diseases. Nature 2009;461:747-753
13. Durbin RM, Abecasis GR, Altshuler DL, et al.; 1000 Genomes Project Consortium. A map of human genome variation from population-scale sequencing. Nature 2010; 467:1061-1073
14. Sudmant PH, Kitzman JO, Antonacci F, et al.; 1000 Genomes Project. Diversity of human copy number variation and multicopy genes. Science 2010;330:641-646
15. Hamburg MA, Collins FS. The path to personalized medicine. N Engl J Med 2010;363:301-304
16. McBride CM, Koehly LM, Sanderson SC, Kaphingst KA. The behavioral response to personalized genetic information: will genetic risk profiles motivate individuals and families to choose more healthful behaviors? Annu Rev Public Health 2010; 31:89-103
17. Pijl M, Timmermans DRM, Claassen L, et al. Impact of communicating familial risk of diabetes on illness perceptions and self-reported behavioral outcomes: a randomized controlled trial. Diabetes Care 2009;32:597-599
18. Kolor K, Liu T, St Pierre J, Khoury MJ. Health care provider and consumer awareness, perceptions, and use of direct-toconsumer personal genomic tests, United States, 2008. Genet Med 2009;11:595
19. Janssens AC, Gwinn M, Bradley LA, Oostra BA, van Duijn CM, Khoury MJ. A critical appraisal of the scientific basis of commercial genomic profiles used to assess health risks and personalize health interventions. Am J Hum Genet 2008;82: 593-599 (Pubitemid 351726114)
20. Grant RW, Hivert M, Pandiscio JC, Florez JC, Nathan DM, Meigs JB. The clinical application of genetic testing in type 2 diabetes: a patient and physician survey. Diabetologia 2009;52:2299-2305
21. Marteau TM, Lerman C. Genetic risk and behavioural change. BMJ 2001;322:1056-1059 (Pubitemid 32396425)
22. Hivert MF, Grant RW, Shrader P, Meigs JB. Identifying primary care patients at risk for future diabetes and cardiovascular disease using electronic health records. BMC Health Serv Res 2009;9:170-179
23. Collins F. Has the revolution arrived? Nature 2010;464:674-675
24. Rollnick S. Readiness, importance, and confidence: Critical conditions of change in treatment. In Treating Addictive Behaviors. 2nd ed. Miller WR, Heather N, Eds. New York, Plenum Press, 1998, p. 49-60