A list of puns related to "Genome Wide Association Study"
Wightman, D.P., Jansen, I.E., Savage, J.E. et al. A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer’s disease. Nat Genet 53, 1276–1282 (2021).
“ Abstract
Variable preferences for different foods are among the main determinants of their intake and are influenced by many factors, including genetics. Despite considerable twins' heritability, studies aimed at uncovering food-liking genetics have focused mostly on taste receptors. Here, we present the first results of a large-scale genome-wide association study of food liking conducted on 161,625 participants from UK Biobank. Liking was assessed over 139 specific foods using a 9-point hedonic scale. After performing GWAS, we used genetic correlations coupled with structural equation modelling to create a multi-level hierarchical map of food liking. We identified three main dimensions: high caloric foods defined as "Highly palatable", strong-tasting foods ranging from alcohol to pungent vegetables, defined as "Learned" and finally "Low caloric" foods such as fruit and vegetables. The "Highly palatable" dimension was genetically uncorrelated from the other two, suggesting that two independent processes underlie liking high reward foods and the Learned/Low caloric ones. Genetic correlation analysis with the corresponding food consumption traits revealed a high correlation, while liking showed twice the heritability compared to consumption. For example, fresh fruit liking and consumption showed a genetic correlation of 0.7 with heritabilities of 0.1 and 0.05, respectively. GWAS analysis identified 1401 significant food-liking associations located in 173 genomic loci, with only 11 near taste or olfactory receptors. Genetic correlation with morphological and functional brain data (33,224 UKB participants) uncovers associations of the three food-liking dimensions with non-overlapping, distinct brain areas and networks, suggestive of separate neural mechanisms underlying the liking dimensions. In conclusion, we created a comprehensive and data-driven map of the genetic determinants and associated neurophysiological factors of food liking beyond taste receptor genes.“
https://www.biorxiv.org/content/10.1101/2021.07.28.454120v1
https://preview.redd.it/cvmcc4ihrxa71.jpg?width=1199&format=pjpg&auto=webp&s=d6e1ca52de74231bebca19edbc3797386a9570d0
This year's revamped edition of advanced GWAS course is offered completely online, under the organizational arm of the programme director of Genomic & Molecular Epidemiology programme at Netherlands Institute for Health Sciences (NIHES) - prof. dr. Fernando Rivadeneira.
Erasmus Medical Center, where NIHES operates, is known throughout the GWAS community as its contribution with the Rotterdam Study and more recently with the paediatric cohort study Generation R.
Within the course, you will get acquainted with the latest software used in the mega-GWAS studies (such as the ones involving the UK BioBank), the theoretical background of the GWAS studies, the downstream analyses to try and pinpoint the causal variants, as well as lectures by seasoned researchers that will present the common pitfalls and lessons learned from real-life GWAS studies.
For the course, it is expected you know (theoretically) how to run a GWAS and what it entails. Additionally, familiarity with the GNU/Linux environment a must.
Do not miss this opportunity.
More information can be found at this link.
Abdellaoui, A., Verweij, K.J.H. Dissecting polygenic signals from genome-wide association studies on human behaviour. Nat Hum Behav (2021).
DOI: https://doi.org/10.1038/s41562-021-01110-y
URL: https://www.nature.com/articles/s41562-021-01110-y#article-info
https://preview.redd.it/cvmcc4ihrxa71.jpg?width=1199&format=pjpg&auto=webp&s=d6e1ca52de74231bebca19edbc3797386a9570d0
This year's revamped edition of advanced GWAS course is offered completely online, under the organizational arm of the programme director of Genomic & Molecular Epidemiology programme at Netherlands Institute for Health Sciences (NIHES) - prof. dr. Fernando Rivadeneira.
Erasmus Medical Center, where NIHES operates, is known throughout the GWAS community as its contribution with the Rotterdam Study and more recently with the paediatric cohort study Generation R.
Within the course, you will get acquainted with the latest software used in the mega-GWAS studies (such as the ones involving the UK BioBank), the theoretical background of the GWAS studies, the downstream analyses to try and pinpoint the causal variants, as well as lectures by seasoned researchers that will present the common pitfalls and lessons learned from real-life GWAS studies.
For the course, it is expected you know (theoretically) how to run a GWAS and what it entails. Additionally, familiarity with the GNU/Linux environment a must.
Do not miss this opportunity.
More information can be found at this link.
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