↓ Skip to main content

Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption

Overview of attention for article published in Molecular Psychiatry, October 2014
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#25 of 5,976)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
82 news outlets
blogs
23 blogs
twitter
125 X users
facebook
10 Facebook pages
googleplus
18 Google+ users
reddit
14 Redditors
video
1 YouTube creator

Readers on

mendeley
556 Mendeley
citeulike
5 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption
Published in
Molecular Psychiatry, October 2014
DOI 10.1038/mp.2014.107
Pubmed ID
Authors

M C Cornelis, E M Byrne, T Esko, M A Nalls, A Ganna, N Paynter, K L Monda, N Amin, K Fischer, F Renstrom, J S Ngwa, V Huikari, A Cavadino, I M Nolte, A Teumer, K Yu, P Marques-Vidal, R Rawal, A Manichaikul, M K Wojczynski, J M Vink, J H Zhao, G Burlutsky, J Lahti, V Mikkilä, R N Lemaitre, J Eriksson, S K Musani, T Tanaka, F Geller, J Luan, J Hui, R Mägi, M Dimitriou, M E Garcia, W-K Ho, M J Wright, L M Rose, P K E Magnusson, N L Pedersen, D Couper, B A Oostra, A Hofman, M A Ikram, H W Tiemeier, A G Uitterlinden, F J A van Rooij, I Barroso, I Johansson, L Xue, M Kaakinen, L Milani, C Power, H Snieder, R P Stolk, S E Baumeister, R Biffar, F Gu, F Bastardot, Z Kutalik, D R Jacobs, N G Forouhi, E Mihailov, L Lind, C Lindgren, K Michaëlsson, A Morris, M Jensen, K-T Khaw, R N Luben, J J Wang, S Männistö, M-M Perälä, M Kähönen, T Lehtimäki, J Viikari, D Mozaffarian, K Mukamal, B M Psaty, A Döring, A C Heath, G W Montgomery, N Dahmen, T Carithers, K L Tucker, L Ferrucci, H A Boyd, M Melbye, J L Treur, D Mellström, J J Hottenga, I Prokopenko, A Tönjes, P Deloukas, S Kanoni, M Lorentzon, D K Houston, Y Liu, J Danesh, A Rasheed, M A Mason, A B Zonderman, L Franke, B S Kristal, J Karjalainen, D R Reed, H-J Westra, M K Evans, D Saleheen, T B Harris, G Dedoussis, G Curhan, M Stumvoll, J Beilby, L R Pasquale, B Feenstra, S Bandinelli, J M Ordovas, A T Chan, U Peters, C Ohlsson, C Gieger, N G Martin, M Waldenberger, D S Siscovick, O Raitakari, J G Eriksson, P Mitchell, D J Hunter, P Kraft, E B Rimm, D I Boomsma, I B Borecki, R J F Loos, N J Wareham, P Vollenweider, N Caporaso, H J Grabe, M L Neuhouser, B H R Wolffenbuttel, F B Hu, E Hyppönen, M-R Järvelin, L A Cupples, P W Franks, P M Ridker, C M van Duijn, G Heiss, A Metspalu, K E North, E Ingelsson, J A Nettleton, R M van Dam, D I Chasman

Abstract

Coffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome-wide (GW) meta-analysis of predominately regular-type coffee consumption (cups per day) among up to 91 462 coffee consumers of European ancestry with top single-nucleotide polymorphisms (SNPs) followed-up in ~30 062 and 7964 coffee consumers of European and African-American ancestry, respectively. Studies from both stages were combined in a trans-ethnic meta-analysis. Confirmed loci were examined for putative functional and biological relevance. Eight loci, including six novel loci, met GW significance (log10Bayes factor (BF)>5.64) with per-allele effect sizes of 0.03-0.14 cups per day. Six are located in or near genes potentially involved in pharmacokinetics (ABCG2, AHR, POR and CYP1A2) and pharmacodynamics (BDNF and SLC6A4) of caffeine. Two map to GCKR and MLXIPL genes related to metabolic traits but lacking known roles in coffee consumption. Enhancer and promoter histone marks populate the regions of many confirmed loci and several potential regulatory SNPs are highly correlated with the lead SNP of each. SNP alleles near GCKR, MLXIPL, BDNF and CYP1A2 that were associated with higher coffee consumption have previously been associated with smoking initiation, higher adiposity and fasting insulin and glucose but lower blood pressure and favorable lipid, inflammatory and liver enzyme profiles (P<5 × 10(-8)).Our genetic findings among European and African-American adults reinforce the role of caffeine in mediating habitual coffee consumption and may point to molecular mechanisms underlying inter-individual variability in pharmacological and health effects of coffee.Molecular Psychiatry advance online publication, 7 October 2014; doi:10.1038/mp.2014.107.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 125 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 556 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 <1%
Sweden 2 <1%
Mexico 1 <1%
United Kingdom 1 <1%
France 1 <1%
Finland 1 <1%
Switzerland 1 <1%
Australia 1 <1%
Austria 1 <1%
Other 1 <1%
Unknown 543 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 89 16%
Student > Bachelor 66 12%
Student > Master 55 10%
Student > Ph. D. Student 52 9%
Other 39 7%
Other 112 20%
Unknown 143 26%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 103 19%
Biochemistry, Genetics and Molecular Biology 71 13%
Agricultural and Biological Sciences 68 12%
Nursing and Health Professions 24 4%
Neuroscience 23 4%
Other 96 17%
Unknown 171 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 842. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 November 2025.
All research outputs
#27,250
of 34,388,610 outputs
Outputs from Molecular Psychiatry
#25
of 5,976 outputs
Outputs of similar age
#135
of 300,275 outputs
Outputs of similar age from Molecular Psychiatry
#2
of 61 outputs
Altmetric has tracked 34,388,610 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,976 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.7. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 300,275 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.