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Caffeine Interaction with Glutamate Receptor Gene GRIN2A: Parkinson's Disease in Swedish Population

Overview of attention for article published in PLOS ONE, June 2014
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Title
Caffeine Interaction with Glutamate Receptor Gene GRIN2A: Parkinson's Disease in Swedish Population
Published in
PLOS ONE, June 2014
DOI 10.1371/journal.pone.0099294
Pubmed ID
Authors

Naomi Yamada-Fowler, Mats Fredrikson, Peter Söderkvist

Abstract

A complex interplay between genetic and environmental factors is thought to be involved in the etiology of Parkinson's disease (PD). A recent genome-wide association and interaction study (GWAIS) identified GRIN2A, which encodes an NMDA-glutamate-receptor subunit involved in brain's excitatory neurotransmission, as a PD genetic modifier in inverse association with caffeine intake. Here in, we attempted to replicate the reported association of a single nucleotide polymorphism, GRIN2A_rs4998386, and its interaction with caffeine intake with PD in patient-control study in an ethnically homogenous population in southeastern Sweden, as consistent and independent genetic association studies are the gold standard for the validation of genome-wide association studies. All the subjects (193 sporadic PD patients and 377 controls) were genotyped, and the caffeine intake data was obtained by questionnaire. We observed an association between rs4998386 and PD with odds ratio (OR) of 0.61, 95% confidence intervals (CI) of 0.39-0.96, p = 0.03, under a model excluding rare TT allele. There was also a strong significance in joint effects of gene and caffeine on PD risk (TC heavy caffeine vs. CC light caffeine: OR = 0.38, 95%CI = [0.20-0.70], p = 0.002) and gene-caffeine interaction (OR = 0.998, 95%CI = [0.991-0.999], p<0.001). Overall, our results are in support of the findings of the GWAIS and provided additional evidence indicating PD protective effects of coffee drinking/caffeine intake as well as the interaction with glutamate receptor genotypes.

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Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 26%
Student > Master 9 15%
Student > Ph. D. Student 8 13%
Student > Doctoral Student 5 8%
Other 4 6%
Other 11 18%
Unknown 9 15%
Readers by discipline Count As %
Medicine and Dentistry 15 24%
Agricultural and Biological Sciences 11 18%
Biochemistry, Genetics and Molecular Biology 7 11%
Neuroscience 4 6%
Sports and Recreations 3 5%
Other 9 15%
Unknown 13 21%