Transcriptomics

Dataset Information

0

Protein-truncating variants in BSN are associated with severe adult-onset obesity, type 2 diabetes and fatty liver disease


ABSTRACT: Obesity is a major risk factor for many common diseases and has a significant heritable component. While clinical and large-scale population studies have identified several genes harbouring rare alleles with large effects on obesity risk, there are likely many unknown genes with highly penetrant effects remaining. To this end, we performed whole exome-sequence analyses for adult body mass index (BMI) in up to 587,027 individuals. We identified rare, loss of function variants in two genes – BSN and APBA1 – with effects on BMI substantially larger than well-established obesity genes such as MC4R. One in ~6500 individuals carry a heterozygous protein truncating variant (PTV) in BSN, which confers a 6.6, 3.7 and 3-fold higher risk of severe obesity (BMI >40kg/m2), non-alcoholic fatty liver disease and type 2 diabetes, respectively. Rare PTVs in BSN were found in three patients with severe early onset obesity, but in contrast to most other obesity-related genes, rare variants in BSN and APBA1 were not associated with normal variation in childhood adiposity. Furthermore, BSN PTVs magnified the influence of common genetic variants associated with BMI, with a common polygenic score exhibiting an effect on BMI twice as large in BSN PTV carriers than non-carriers. Finally, we explored the plasma proteomic signatures of BSN PTV carriers as well as the functional consequences of BSN deletion in human iPSC-derived hypothalamic neurons. These approaches highlighted a network of differentially expressed genes that were collectively enriched for genomic regions associated with BMI, and suggest emerging roles for neurodevelopment, neurogenesis, and altered neuronal oxidative phosphorylation in the etiology of obesity.

ORGANISM(S): Homo sapiens

PROVIDER: GSE243112 | GEO | 2024/01/29

REPOSITORIES: GEO

Similar Datasets

2014-10-24 | E-GEOD-60607 | biostudies-arrayexpress
2012-01-10 | E-GEOD-27860 | biostudies-arrayexpress
2014-10-24 | GSE60607 | GEO
2019-05-01 | GSE126307 | GEO
2008-03-21 | GSE10905 | GEO
2022-11-17 | GSE208338 | GEO
2023-06-28 | GSE235361 | GEO
2023-06-28 | GSE235362 | GEO
2018-02-22 | GSE78812 | GEO
2018-02-22 | GSE78789 | GEO