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Genome-Wide Association Studies of Coffee Intake in UK/US Participants of European Ancestry Uncover Gene-Cohort Influences
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 perfo...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516045/ https://www.ncbi.nlm.nih.gov/pubmed/37745582 http://dx.doi.org/10.1101/2023.09.09.23295284 |
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author | Thorpe, Hayley H A Fontanillas, Pierre Pham, Benjamin K Meredith, John J Jennings, Mariela V Courchesne-Krak, Natasia S Vilar-Ribó, Laura Bianchi, Sevim B Mutz, Julian Elson, Sarah L Khokhar, Jibran Y Abdellaoui, Abdel Davis, Lea K Palmer, Abraham A Sanchez-Roige, Sandra |
author_facet | Thorpe, Hayley H A Fontanillas, Pierre Pham, Benjamin K Meredith, John J Jennings, Mariela V Courchesne-Krak, Natasia S Vilar-Ribó, Laura Bianchi, Sevim B Mutz, Julian Elson, Sarah L Khokhar, Jibran Y Abdellaoui, Abdel Davis, Lea K Palmer, Abraham A Sanchez-Roige, Sandra |
author_sort | Thorpe, Hayley H A |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10516045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-105160452023-09-23 Genome-Wide Association Studies of Coffee Intake in UK/US Participants of European Ancestry Uncover Gene-Cohort Influences Thorpe, Hayley H A Fontanillas, Pierre Pham, Benjamin K Meredith, John J Jennings, Mariela V Courchesne-Krak, Natasia S Vilar-Ribó, Laura Bianchi, Sevim B Mutz, Julian Elson, Sarah L Khokhar, Jibran Y Abdellaoui, Abdel Davis, Lea K Palmer, Abraham A Sanchez-Roige, Sandra medRxiv Article 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. Cold Spring Harbor Laboratory 2023-09-11 /pmc/articles/PMC10516045/ /pubmed/37745582 http://dx.doi.org/10.1101/2023.09.09.23295284 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Thorpe, Hayley H A Fontanillas, Pierre Pham, Benjamin K Meredith, John J Jennings, Mariela V Courchesne-Krak, Natasia S Vilar-Ribó, Laura Bianchi, Sevim B Mutz, Julian Elson, Sarah L Khokhar, Jibran Y Abdellaoui, Abdel Davis, Lea K Palmer, Abraham A Sanchez-Roige, Sandra Genome-Wide Association Studies of Coffee Intake in UK/US Participants of European Ancestry Uncover Gene-Cohort Influences |
title | Genome-Wide Association Studies of Coffee Intake in UK/US Participants of European Ancestry Uncover Gene-Cohort Influences |
title_full | Genome-Wide Association Studies of Coffee Intake in UK/US Participants of European Ancestry Uncover Gene-Cohort Influences |
title_fullStr | Genome-Wide Association Studies of Coffee Intake in UK/US Participants of European Ancestry Uncover Gene-Cohort Influences |
title_full_unstemmed | Genome-Wide Association Studies of Coffee Intake in UK/US Participants of European Ancestry Uncover Gene-Cohort Influences |
title_short | Genome-Wide Association Studies of Coffee Intake in UK/US Participants of European Ancestry Uncover Gene-Cohort Influences |
title_sort | genome-wide association studies of coffee intake in uk/us participants of european ancestry uncover gene-cohort influences |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516045/ https://www.ncbi.nlm.nih.gov/pubmed/37745582 http://dx.doi.org/10.1101/2023.09.09.23295284 |
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