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01-08-2010 | Original Article

Evaluation of a Brief Web-Based Genetic Feedback Intervention for Reducing Alcohol-Related Health Risks Associated with ALDH2

Authors: Christian S. Hendershot, Ph.D., Jacqueline M. Otto, B.S., Susan E. Collins, Ph.D., Tiebing Liang, Ph.D., Tamara L. Wall, Ph.D.

Published in: Annals of Behavioral Medicine | Issue 1/2010

Abstract

There is increasing interest in health interventions that incorporate genetic risk information. Although genetic feedback has been evaluated as an adjunct to smoking cessation interventions, its efficacy for reducing alcohol-related risks is unknown. The purpose of this study was to evaluate the feasibility, acceptability, and efficacy of a web-based alcohol intervention incorporating genetic feedback and risk information specific to ALDH2 genotype. The ALDH2*2 variant is associated with partial protection against alcohol dependence but confers significantly increased risk for alcohol-related cancers as a function of alcohol exposure. Two hundred Asian-American young adults were randomly assigned to receive web-based personalized genetic feedback or attention-control feedback. Genetic feedback included health risk information specific to alcohol-related cancer or alcohol dependence, depending on genotype. Outcomes included postintervention drinking behavior and theoretical correlates of behavior change. Genetic feedback and risk information resulted in significant reductions in 30-day drinking frequency and quantity among participants with the ALDH2*1/*2 genotype. Genetic feedback was rated highly by participants and also showed some effects on theoretical correlates of behavior change. Results provide initial evidence of the feasibility, acceptability, and brief efficacy of web-based genetic feedback for reducing alcohol-related health risks associated with ALDH2 genotype.

Bell J. Predicting disease using genomics. Nature. 2004; 429: 453–456.CrossRefPubMed

Guttmacher AE, Collins FS. Realizing the promise of genomics in biomedical research. JAMA. 2005; 294: 1399–1402.CrossRefPubMed

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.CrossRef

Kraft P, Hunter DJ. Genetic risk prediction: Are we there yet? N Engl J Med. 2009; 360: 1701–1703.CrossRefPubMed

Wray NR, Goddard ME, Visscher PM. Prediction of individual genetic risk to disease from genome-wide association studies. Genome Res. 2007; 17: 1520–1528.CrossRefPubMed

Wray NR, Goddard ME, Visscher PM. Prediction of individual genetic risk of complex disease. Curr Opin Genet Dev. 2008; 18: 257–263.CrossRefPubMed

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.CrossRefPubMed

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.CrossRefPubMed

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.CrossRefPubMed

10.

Henrikson NB, Bowen D, Burke W. Does genomic risk information motivate people to change their behavior? Genome Med. 2009; 1: 37.CrossRefPubMed

11.

Lerman C, Croyle RT, Tercyak KP, Hamann H. Genetic testing: Psychological aspects and implications. J Consult Clin Psychol. 2002; 70: 784–797.CrossRefPubMed

12.

Janssens AC, van Duijn CM. Genome-based prediction of common diseases: Methodological considerations for future research. Genome Med. 2009; 1: 20.CrossRefPubMed

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.CrossRefPubMed

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 meta-analysis. Am J Epidemiol. 2008; 167: 759–774.CrossRefPubMed

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.PubMed

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.CrossRefPubMed

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.CrossRefPubMed

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.CrossRefPubMed

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.CrossRefPubMed

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.CrossRefPubMed

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.CrossRefPubMed

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.CrossRefPubMed

23.

Baan R, Straif K, Grosse Y, et al. Carcinogenicity of alcoholic beverages. Lancet Oncol. 2007; 8: 292–293.CrossRefPubMed

24.

Lachenmeier DW, Kanteres F, Rehm J. Carcinogenicity of acetaldehyde in alcoholic beverages: Risk assessment outside ethanol metabolism. Addiction. 2009; 104: 533–550.CrossRefPubMed

25.

Edenberg HJ. The genetics of alcohol metabolism—role of alcohol dehydrogenase and aldehyde dehydrogenase variants. Alcohol Res Health. 2007; 30: 5–13.PubMed

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.CrossRefPubMed

27.

Hiyama T, Yoshihara M, Tanaka S, Chayama K. Genetic polymorphisms and esophageal cancer risk. Int J Cancer. 2007; 121: 1643–1658.CrossRefPubMed

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.PubMed

29.

Luczak SE, Glatt SJ, Wall TL. Meta-analyses of ALDH2 and ADH1B with alcohol dependence in Asians. Psychol Bull. 2006; 132: 607–621.CrossRefPubMed

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.PubMed

31.

Yokoyama A, Muramatsu T, Ohmori T, et al. Alcohol-related cancers and aldehyde dehydrogenase-2 in Japanese alcoholics. Carcinogenesis. 1998; 19: 1383–1387.CrossRefPubMed

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.PubMed

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.CrossRef

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.PubMed

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.CrossRefPubMed

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.PubMed

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.CrossRefPubMed

38.

Miller WR, Rollnick S. Motivational interviewing: Preparing people for change. New York: Guilford; 2002.

39.

Lewis MA, 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.CrossRefPubMed

40.

Cunningham JA, Wild TC, Cordingley J, van Mierlo T, Humphreys K. A randomized controlled trial of an internet-based intervention for alcohol abusers. Addiction. 2009; 104: 2023–2032.CrossRefPubMed

41.

Neighbors C, Lee CM, Lewis MA, Fossos N, Walter T. Internet-based 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.CrossRefPubMed

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.CrossRefPubMed

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.CrossRefPubMed

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.CrossRefPubMed

45.

Jones BT, Corbin W, Fromme K. A review of expectancy theory and alcohol consumption. Addiction. 2001; 96: 57–72.CrossRefPubMed

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.CrossRefPubMed

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.CrossRefPubMed

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.CrossRef

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.PubMed

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.CrossRef

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.CrossRef

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.CrossRefPubMed

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.CrossRefPubMed

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.CrossRefPubMed

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.CrossRefPubMed

Title: Evaluation of a Brief Web-Based Genetic Feedback Intervention for Reducing Alcohol-Related Health Risks Associated with ALDH2
Authors: Christian S. Hendershot, Ph.D.
Jacqueline M. Otto, B.S.
Susan E. Collins, Ph.D.
Tiebing Liang, Ph.D.
Tamara L. Wall, Ph.D.
Publication date: 01-08-2010
Publisher: Springer-Verlag
Published in: Annals of Behavioral Medicine / Issue 1/2010
Print ISSN: 0883-6612
Electronic ISSN: 1532-4796
DOI: https://doi.org/10.1007/s12160-010-9207-3

At a glance: The STEP trials

Springer Medicine

Evaluation of a Brief Web-Based Genetic Feedback Intervention for Reducing Alcohol-Related Health Risks Associated with ALDH2

Abstract

At a glance: The STEP trials

Springer Medicine

Abstract

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