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Get Free AccessGenome-wide association studies (GWAS) have identified hundreds of genetic variants associated with body weight but the biological relevance of most remains unexplored. Given the critical role of the brain in multiple biological processes associated with body weight regulation, we set out to determine whether genetic variants linked with body mass index (BMI) could be mapped to brain proteins. Using genetic colocalization, we mapped 23 loci from the largest BMI GWAS (n=806,834) to brain proteins (obtained from a dataset of >7000 dorsolateral prefrontal cortex proteins measured by mass spectrometry in >400 individuals). We also performed a proteome-wide Mendelian randomization analysis followed by genetic colocalization, which allowed us to identify an additional 48 brain proteins linked with BMI. We found that only a minority of these proteins (<25%) had a colocalization signal with cortex gene expression levels, highlighting the value of moving beyond gene expression levels and studying brain protein levels. Single-cell sequencing from the human brain cortex revealed that the genes expressing the proteins associated with BMI may be predominantly expressed in oligodendrocytes. In the Québec Family Study, a genetic risk score (GRS) including these brain pQTLs was associated with higher dietary carbohydrate intake and lower lipid intake whereas a GRS including the 67 variants most strongly associated with BMI was not associated with dietary intake. In conclusions, we identified 71 proteins expressed in the prefrontal cortex that may be critical regulators of body weight and possibly dietary intake in humans.
Éloi Gagnon, Arnaud Girard, Émilie Gobeil, Jérôme Bourgault, Christian Couture, Patricia L. Mitchell, Claude Bouchard, Angelo Tremblay, Patrick Mathieu, Andréanne Michaud, Louis Pérusse, Benoît Arsenault (2022). Genetic Control of Body Weight by the Human Brain Proteome. SSRN Electronic Journal, DOI: 10.2139/ssrn.4054839.
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Type
Article
Year
2022
Authors
12
Datasets
0
Total Files
0
Language
English
Journal
SSRN Electronic Journal
DOI
10.2139/ssrn.4054839
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