Evaluation of a brief web-based genetic feedback intervention for reducing alcohol-related health risks associated with ALDH2

Annals of Behavioral Medicine

Volumn 40, Issue 1, 2010, Pages 77-88

  Hendershot, Christian S ^a,b   Otto, Jacqueline M ^c   Collins, Susan E ^d   Liang, Tiebing ^e   Wall, Tamara L ^f,g,h  

^a MIND RESEARCH NETWORK   (United States)

^b UNIVERSITY OF NEW MEXICO   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

^d UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

^e INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^f UNIVERSITY OF CALIFORNIA   (United States)

^g VA SAN DIEGO HEALTHCARE SYSTEM   (United States)

^h VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

Alcohol use; Aldehyde dehydrogenase; Genetic feedback; Internet; Intervention; Personalized feedback

Indexed keywords

ALDEHYDE DEHYDROGENASE; ALDH2 PROTEIN, HUMAN;

ADULT; ALCOHOLISM; ARTICLE; ATTITUDE TO HEALTH; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; FEEDBACK SYSTEM; FEMALE; GENETIC COUNSELING; GENETIC PREDISPOSITION; GENETICS; GENOTYPE; HUMAN; INTERNET; MALE; METHODOLOGY; NEOPLASM; PSYCHOLOGICAL ASPECT; RANDOMIZED CONTROLLED TRIAL;

ADULT; ALCOHOL-RELATED DISORDERS; ALDEHYDE DEHYDROGENASE; FEEDBACK; FEMALE; GENETIC COUNSELING; GENETIC PREDISPOSITION TO DISEASE; GENOTYPE; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HUMANS; INTERNET; MALE; NEOPLASMS;

EID: 79952118586     PISSN: 08836612     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12160-010-9207-3     Document Type: Article

References (55)

1. Bell J. Predicting disease using genomics. Nature. 2004; 429: 453-456. (Pubitemid 38715139)
2. Guttmacher AE, Collins FS. Realizing the promise of genomics in biomedical research. JAMA. 2005; 294: 1399-1402. (Pubitemid 41345822)
3. The Wellcome Trust Case Control Consortium. Genome-wide association study of 14, 000 cases of seven common diseases and 3, 000 shared controls. Nature. 2007; 447: 661-678.
4. Kraft P, Hunter DJ. Genetic risk prediction: Are we there yet? N Engl J Med. 2009; 360: 1701-1703.
5. Wray NR, Goddard ME, Visscher PM. Prediction of individual genetic risk to disease from genome-wide association studies. Genome Res. 2007; 17: 1520-1528. (Pubitemid 47529436)
6. Wray NR, Goddard ME, Visscher PM. Prediction of individual genetic risk of complex disease. Curr Opin Genet Dev. 2008; 18: 257-263.
7. Lango H, Palmer CNA, Morris AD, et al. Assessing the combined impact of 18 common genetic variants of modest effect sizes on type 2 diabetes risk. Diabetes. 2008; 57: 3129-3135.
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. van Hoek M, Dehghan A, Wittentan JCM, et al. Predicting type 2 diabetes based on polymorphisms from genome-wide association studies: A population-dased study. Diabetes. 2008; 57: 3122-3128.
10. Henrikson NB, Bowen D, Burke W. Does genomic risk information motivate people to change their behavior? Genome Med. 2009; 1: 37.
11. Lerman C, Croyle RT, Tercyak KP, Hamann H. Genetic testing: Psychological aspects and implications. J Consult Clin Psychol. 2002; 70: 784-797. (Pubitemid 34640743)
12. Janssens AC, van Duijn CM. Genome-based prediction of common diseases: Methodological considerations for future research. Genome Med. 2009; 1: 20.
13. Benhamou S, Lee WJ, Alexandrie AK, et al. Meta- and pooled analyses of the effects of glutathione S-transferase M1 polymorphisms and smoking on lung cancer risk. Carcinogenesis. 2002; 23: 1343-1350.
14. Carlsten C, Sagoo GS, Frodsham AJ, Burke W, Higgins JPT. Glutathione S-transferase M1 (GSTM1) polymorphisms and lung cancer: A literature-based systematic HuGE review and metaanalysis. Am J Epidemiol. 2008; 167: 759-774. (Pubitemid 351451750)
15. McBride CM, Bepler G, Lipkus IM, et al. Incorporating genetic susceptibility feedback into a smoking cessation program for African-American smokers with low income. Cancer Epidemiol Biomarkers Prev. 2002; 11: 521-528. (Pubitemid 34615158)
16. Sanderson SC, Humphries SE, Hubbart C, Hughes E, Jarvis MJ, Wardle J. Psychological and behavioural impact of genetic testing smokers for lung cancer risk: A phase II exploratory trial. J Health Psychol. 2008; 13: 481-494. (Pubitemid 351537907)
17. Sanderson SC, O'Neill SC, White DB, et al. Responses to online GSTM1 genetic test results among smokers related to patients with lung cancer: A pilot study. Cancer Epidemiol Biomarkers Prev. 2009; 18: 1953-1961.
18. Lerman C, Gold K, Audrain J, et al. Incorporating biomarkers of exposure and genetic susceptibility into smoking cessation treatment: Effects on smoking-related cognitions, emotions, and behavior change. Health Psychol. 1997; 16: 87-99. (Pubitemid 127465956)
19. Audrain J, Boyd NR, Roth J, Main D, Caporaso NE, Lerman C. Genetic susceptibility testing in smoking-cessation treatment: One-year outcomes of a randomized trial. Addict Behav. 1997; 22: 741-751. (Pubitemid 27511994)
20. Ito H, Matsuo K, Wakai K, et al. An intervention study of smoking cessation with feedback on genetic cancer susceptibility in Japan. Prev Med. 2006; 42: 102-108. (Pubitemid 43207415)
21. Carpenter MJ, Strange C, Jones Y, et al. Does genetic testing result in behavioral health change? Changes in smoking behavior following testing for alpha-1 antitrypsin deficiency. Ann Behav Med. 2007; 33: 22-28.
22. Rehm J, Mathers C, Popova S, Thavorncharoensap M, Teerawattananon Y, Patra J. Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders. Lancet. 2009; 373: 2223-2233.
23. Baan R, Straif K, Grosse Y, et al. Carcinogenicity of alcoholic beverages. Lancet Oncol. 2007; 8: 292-293.
24. Lachenmeier DW, Kanteres F, Rehm J. Carcinogenicity of acetaldehyde in alcoholic beverages: Risk assessment outside ethanol metabolism. Addiction. 2009; 104: 533-550.
25. Edenberg HJ. The genetics of alcohol metabolism - role of alcohol dehydrogenase and aldehyde dehydrogenase variants. Alcohol Res Health. 2007; 30: 5-13.
26. Chen YJ, Chen C, Wu DC, et al. Interactive effects of lifetime alcohol consumption and alcohol and aldehyde dehydrogenase polymorphisms on esophageal cancer risks. Int J Cancer. 2006; 119: 2827-2831. (Pubitemid 44846234)
27. Hiyama T, Yoshihara M, Tanaka S, Chayama K. Genetic polymorphisms and esophageal cancer risk. Int J Cancer. 2007; 121: 1643-1658. (Pubitemid 47417279)
28. Peng GS, Yin SJ. Effect of the allelic variants of aldehyde dehydrogenase ALDH2*2 and alcohol dehydrogenase ADH1B*2 on blood acetaldehyde concentrations. Hum Genomics. 2009; 3: 121-127.
29. Luczak SE, Glatt SJ, Wall TL. Meta-analyses of ALDH2 and ADH1B with alcohol dependence in Asians. Psychol Bull. 2006; 132: 607-621. (Pubitemid 44212073)
30. Yang CX, Matsuo K, Ito H, et al. Esophageal cancer risk by ALDH2 and ADH2 polymorphisms and alcohol consumption: Exploration of gene-environment and gene-gene interactions. Asian Pac J Cancer Prev. 2005; 6: 256-262.
31. Yokoyama A, Muramatsu T, Ohmori T, et al. Alcohol-related cancers and aldehyde dehydrogenase-2 in Japanese alcoholics. Carcinogenesis. 1998; 19: 1383-1387. (Pubitemid 28409835)
32. Yokoyama A, Muramatsu T, Omori T, et al. Alcohol and aldehyde dehydrogenase gene polymorphisms influence susceptibility to esophageal cancer in Japanese alcoholics. Alcohol Clin Exp Res. 1999; 23: 1705-1710.
33. Brooks PJ, Enoch MA, Goldman D, Li TK, Yokoyama A. The alcohol flushing response: An unrecognized risk factor for esophageal cancer from alcohol consumption. PLoS Med. 2009; 6(3): e1000050.
34. Yokoyama T, Yokoyama A, Kato H, et al. Alcohol flushing, alcohol and aldehyde dehydrogenase genotypes, and risk for esophageal squamous cell carcinoma in Japanese men. Cancer Epidemiol Biomarkers Prev. 2003; 12: 1227-1233. (Pubitemid 37499449)
35. Lewis SJ, Smith GD. Alcohol, ALDH2, and esophageal cancer: A meta-analysis which illustrates the potentials and limitations of a Mendelian randomization approach. Cancer Epidemiol Biomarkers Prev. 2005; 14: 1967-1971. (Pubitemid 41161208)
36. Collins SE, Carey KB, Sliwinski MJ. Mailed personalized normative feedback as a brief intervention for at-risk college drinkers. J Stud Alcohol. 2002; 63: 559-567.
37. Larimer ME, Lee CM, Kilmer JR, et al. Personalized mailed feedback for college drinking prevention: A randomized clinical trial. J Consult Clin Psychol. 2007; 75: 285-293. (Pubitemid 47444733)
38. Miller WR, Rollnick S. Motivational interviewing: Preparing people for change. New York: Guilford; 2002.
39. LewisMA, Neighbors C. Social norms approaches using descriptive drinking norms education: A review of the research on personalized normative feedback. J Am Coll Health. 2006; 54: 213-218. (Pubitemid 43189157)
40. Cunningham JA, Wild TC, Cordingley J, van Mierlo T, Humphreys K. A randomized controlled trial of an internetbased intervention for alcohol abusers. Addiction. 2009; 104: 2023-2032.
41. Neighbors C, Lee CM, Lewis MA, Fossos N, Walter T. Internetbased personalized feedback to reduce 21st-birthday drinking: A randomized controlled trial of an event-specific prevention intervention. J Consult Clin Psychol. 2009; 77: 51-63.
42. Hendershot CS, Collins SE, George WH, et al. Associations of ALDH2 and ADH1B genotypes with alcohol-related phenotypes in Asian young adults. Alcohol Clin Exp Res. 2009; 33: 839-847.
43. Wright AJ, French DP, Weinman J, Marteau TM. Can genetic risk information enhance motivation for smoking cessation? An analogue study. Health Psychol. 2006; 25: 740-752. (Pubitemid 44747856)
44. Gooding HC, Organista K, Burack J, Biesecker BB. Genetic susceptibility testing from a stress and coping perspective. Soc Sci Med. 2006; 62: 1880-1890.
45. Jones BT, Corbin W, Fromme K. A review of expectancy theory and alcohol consumption. Addiction. 2001; 96: 57-72. (Pubitemid 32099340)
46. Collins RL, Parks GA, Marlatt GA. Social determinants of alcohol-consumption: The effects of social-interaction and model status on the self-administration of alcohol. J Consult Clin Psychol. 1985; 53: 189-200. (Pubitemid 15087494)
47. LaBrie JW, Quinlan T, Schiffman JE, Earleywine ME. Performance of alcohol and safer sex change rulers compared with readiness to change questionnaires. Psychol Addict Behav. 2005; 19: 112-115. (Pubitemid 40389501)
48. Fromme K, Stroot EA, Kaplan D. Comprehensive effects of alcohol: Development and psychometric assessment of a new expectancy questionnaire. Psychol Assess. 1993; 5: 19-26.
49. Truett GE, Heeger P, Mynatt RL, Truett AA, Walker JA, Warman ML. Preparation of PCR-quality mouse genomic DNA with hot sodium hydroxide and tris (HotSHOT). Biotechniques. 2000; 29: 52.
50. Newcombe RG. Confidence intervals for an effect size measure based on the Mann-Whitney statistic. Part 1: General issues and tail-area-based methods. Stat Med. 2005; 25: 543-557. (Pubitemid 43174523)
51. Newcombe RG. Confidence intervals for an effect size measure based on the Mann-Whitney statistic. Part 2: Asymptotic methods and evaluation. Stat Med. 2005; 25: 559-573. (Pubitemid 43174524)
52. Marteau TM, Weinman J. Self-regulation and the behavioural response to DNA risk information: A theoretical analysis and framework for future research. Soc Sci Med. 2006; 62: 1360-1368. (Pubitemid 43204245)
53. Cameron LD, Sherman KA, Marteau TM, Brown PM. Impact of genetic risk information and type of disease on perceived risk, anticipated affect, and expected consequences of genetic tests. Health Psychol. 2009; 28: 307-316.
54. McBride CM, Alford SH, Reid RJ, Larson EB, Baxevanis AD, Brody LC. Characteristics of users of online personalized genomic risk assessments: Implications for physician-patient interactions. Genet Med. 2009; 11: 582-587.
55. Chao S, Roberts JS, Marteau TM, Silliman R, Cupples LA, Green RC. Health behavior changes after genetic risk assessment for Alzheimer disease: The REVEAL Study. Alzheimer Dis Assoc Disord. 2008; 22: 94-97. (Pubitemid 351651404)