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Genes determine whether you enjoy coffee

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Press Trust of India Washington
Scientists have identified six new genetic variants associated with habitual coffee drinking, a discovery that explains why some people need the beverage to kickstart their mornings while others won't take a sip.

The genome-wide meta-analysis, led by Harvard School of Public Health and Brigham and Women's Hospital researchers, explains why a given amount of coffee or caffeine has different effects on different people.

"Coffee and caffeine have been linked to beneficial and adverse health effects. Our findings may allow us to identify subgroups of people most likely to benefit from increasing or decreasing coffee consumption for optimal health," said Marilyn Cornelis, research associate in the Department of Nutrition at Harvard School of Public Health and lead author of the study.
 

Genetics have long been suspected of contributing to individual differences in response to coffee and caffeine. However, pinpointing the specific genetic variants has been challenging.

The researchers, part of the Coffee and Caffeine Genetics Consortium, conducted a genome-wide meta-analysis of more than 120,000 regular coffee drinkers of European and African American ancestry.

They identified two variants that mapped to genes involved in caffeine metabolism, POR and ABCG2 (two others, AHR and CYP1A2 had been identified previously).

Two variants were identified near genes BDNF and SLC6A4 that potentially influence the rewarding effects of caffeine. Two others - near GCKR and MLXIPL, genes involved in glucose and lipid metabolism - had not previously been linked to the metabolism or neurological effects of coffee.

The findings suggest that people naturally modulate their coffee intake to experience the optimal effects exerted by caffeine and that the strongest genetic factors linked to increased coffee intake likely work by directly increasing caffeine metabolism.

The study appears in the journal Molecular Psychiatry.

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First Published: Oct 08 2014 | 2:05 PM IST

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