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Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption
, Marilyn C Cornelis1,2, Enda M Byrne3
1Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Molecular Psychiatry
|October 8, 2014
Summary
Genetic analysis identified eight key locations influencing how much coffee people drink, highlighting caffeine
Area of Science:
- Genetics and Nutrigenomics
- Pharmacogenetics
- Metabolic Research
Background:
- Coffee is a globally popular beverage, with caffeine as its primary active compound.
- Significant interest exists regarding coffee's health effects, necessitating genetic investigations.
- Understanding genetic influences on coffee consumption is crucial for personalized health recommendations.
Purpose of the Study:
- To conduct a comprehensive genome-wide meta-analysis to identify genetic loci associated with habitual coffee consumption.
- To investigate the functional and biological relevance of identified genetic loci.
- To explore potential links between coffee consumption-associated genes and various health-related traits.
Main Methods:
- Genome-wide (GW) meta-analysis of coffee consumption (cups per day) in up to 91,462 individuals of European ancestry.
- Follow-up analysis in ~30,062 European and 7,964 African-American coffee consumers.
- Trans-ethnic meta-analysis combining data from both stages, followed by examination of functional relevance using epigenetic marks.
Main Results:
- Eight significant loci, including six novel ones, were identified, associated with coffee consumption.
- Six loci are near genes involved in caffeine's pharmacokinetics (e.g., CYP1A2, ABCG2) and pharmacodynamics (e.g., BDNF, SLC6A4).
- Two loci map to GCKR and MLXIPL, genes related to metabolic traits, suggesting broader biological connections.
Conclusions:
- Genetic findings confirm caffeine's role in mediating coffee consumption habits.
- Identified loci may explain individual differences in coffee's pharmacological and health impacts.
- Associations with metabolic and other health-related traits suggest complex gene-environment interactions influencing coffee consumption and health outcomes.
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