Combining evidence from human genetic and functional screens to identify pathways altering obesity and fat distribution

结合人类遗传和功能筛选的证据,识别影响肥胖和脂肪分布的通路

阅读:2

Abstract

Overall adiposity and body fat distribution are heritable traits associated with altered risk of cardiometabolic disease and mortality. Performing rare-variant (minor allele frequency <1%) association testing using exome-sequencing data from 402,375 participants of European ancestry in the UK Biobank for nine overall and tissue-specific fat distribution traits, we identified 19 genes where putatively damaging rare variation associated with at least one trait (Bonferroni-adjusted p < 1.58 × 10(-7)) and 50 additional genes at false discovery rate (FDR) ≤1% (p ≤ 4.37 × 10(-5)). These 69 genes exhibited significantly higher (one-sided t test p = 3.58 × 10(-18)) common-variant prioritization scores for association with body mass index (BMI), waist-to-hip ratio adjusted for BMI, and body fat percentage than genes not significantly enriched for rare putatively damaging variation, with evidence of monotonic allelic series (dose-response relationships) among ultra-rare variants (minor allele count ≤10) in 22 genes. Combining rare and common variation evidence, allelic series and longitudinal analysis, we selected 14 genes for CRISPR knockdown in human white adipose tissue cell lines. In two target genes, knockdown significantly (two-sided t test p < 0.05/14) decreased lipid accumulation: PPARG (fold change [FC] = 0.25, p = 5.52 × 10(-7)) and SLTM (FC = 0.51, p = 1.91 × 10(-4)); knockdown of COL5A3 (FC = 1.72, p = 0.0028) resulted in significantly increased lipid accumulation. Integrating across population-based genetic and in vitro functional evidence, we highlight therapeutic avenues for altering obesity and body fat distribution by modulating lipid accumulation.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。