TY  - JOUR
PY  - 2012//
TI  - Measuring alcohol consumption for genomic meta-analyses of alcohol intake: opportunities and challenges
JO  - American journal of clinical nutrition
A1  - Agrawal, Arpana
A1  - Freedman, Neal D.
A1  - Cheng, Yu-Ching
A1  - Lin, Peng
A1  - Shaffer, John R.
A1  - Sun, Qi
A1  - Taylor, Kira
A1  - Yaspan, Brian
A1  - Cole, John W.
A1  - Cornelis, Marilyn C.
A1  - Desensi, Rebecca S.
A1  - Fitzpatrick, Annette
A1  - Heiss, Gerardo
A1  - Kang, Jae H.
A1  - O'Connell, Jeffrey
A1  - Bennett, Siiri
A1  - Bookman, Ebony
A1  - Bucholz, Kathleen K.
A1  - Caporaso, Neil
A1  - Crout, Richard
A1  - Dick, Danielle M.
A1  - Edenberg, Howard J.
A1  - Goate, Alison M.
A1  - Hesselbrock, Victor
A1  - Kittner, Steven
A1  - Kramer, John
A1  - Nurnberger, John I.
A1  - Qi, Lu
A1  - Rice, John P.
A1  - Schuckit, Marc A.
A1  - van Dam, Rob M.
A1  - Boerwinkle, Eric
A1  - Hu, Frank
A1  - Levy, Steven
A1  - Marazita, Mary
A1  - Mitchell, Braxton D.
A1  - Pasquale, Louis R.
A1  - Bierut, Laura Jean
SP  - 539
EP  - 547
VL  - 95
IS  - 3
N2  - Whereas moderate drinking may have health benefits, excessive alcohol consumption causes many important acute and chronic diseases and is the third leading contributor to preventable death in the United States. Twin studies suggest that alcohol-consumption patterns are heritable (50%); however, multiple genetic variants of modest effect size are likely to contribute to this heritable variation. Genome-wide association studies provide a tool for discovering genetic loci that contribute to variations in alcohol consumption. Opportunities exist to identify susceptibility loci with modest effect by meta-analyzing together multiple studies. However, existing studies assessed many different aspects of alcohol use, such as typical compared with heavy drinking, and these different assessments can be difficult to reconcile. In addition, many studies lack the ability to distinguish between lifetime and recent abstention or to assess the pattern of drinking during the week, and a variety of such concerns surround the appropriateness of developing a common summary measure of alcohol intake. Combining such measures of alcohol intake can cause heterogeneity and exposure misclassification, cause a reduction in power, and affect the magnitude of genetic association signals. In this review, we discuss the challenges associated with harmonizing alcohol-consumption data from studies with widely different assessment instruments, with a particular focus on large-scale genetic studies.<p />  <p>Language: en</p>
LA  - en
SN  - 0002-9165
UR  - http://dx.doi.org/10.3945/ajcn.111.015545
ID  - ref1
ER  -