Genome-Wide Association Studies of Coffee Intake in UK/US Participants of European Ancestry Uncover Gene-Cohort Influences.
Hayley H A ThorpePierre FontanillasBenjamin K PhamJohn J MeredithMariela V JenningsNatasia S Courchesne-KrakLaura Vilar-RibóSevim B BianchiJulian Mutznull nullSarah L ElsonJibran Younis KhokharAbdel AbdellaouiLea K DavisAbraham A PalmerSandra Sanchez-RoigePublished in: medRxiv : the preprint server for health sciences (2023)
Coffee is one of the most widely consumed beverages. We performed a genome-wide association study ( GWAS ) of coffee intake in US-based 23andMe participants ( N =130,153) and identified 7 significant loci, with many replicating in three multi-ancestral cohorts. We examined genetic correlations and performed a phenome-wide association study across thousands of biomarkers and health and lifestyle traits, then compared our results to the largest available GWAS of coffee intake from UK Biobank (UKB; N =334,659). The results of these two GWAS were highly discrepant. We observed positive genetic correlations between coffee intake and psychiatric illnesses, pain, and gastrointestinal traits in 23andMe that were absent or negative in UKB. Genetic correlations with cognition were negative in 23andMe but positive in UKB. The only consistent observations were positive genetic correlations with substance use and obesity. Our study shows that GWAS in different cohorts could capture cultural differences in the relationship between behavior and genetics.
Keyphrases
- genome wide association study
- genome wide
- copy number
- dna methylation
- weight gain
- genome wide association
- metabolic syndrome
- mental health
- healthcare
- type diabetes
- chronic pain
- weight loss
- public health
- gene expression
- cardiovascular disease
- insulin resistance
- risk assessment
- cross sectional
- spinal cord injury
- multiple sclerosis
- pain management
- white matter
- transcription factor
- skeletal muscle
- neuropathic pain
- social media
- health information