Citation Information: JCI Insight. 2024. https://doi.org/10.1172/jci.insight.184140.
Abstract
Mechanisms underpinning signals from genome wide association studies remain poorly understood, particularly for non-coding variation and for complex diseases such as type 2 diabetes mellitus (T2D) where pathogenic mechanisms in multiple different tissues may be disease driving. One approach is to study relevant endophenotypes, a strategy we applied to the UBE2E2 locus where non-coding SNVs are associated with both T2D and visceral adiposity (a pathologic endophenotype). We integrated CRISPR targeting of SNV-containing regions and unbiased CRISPRi screening to establish candidate cis-regulatory regions, complemented by genetic loss of function in murine diet-induced obesity or ex vivo adipogenesis assays. Nomination of a single causal gene was complicated, however, because targeting of multiple genes near UBE2E2 attenuated adipogenesis in vitro, CRISPR excision of SNV-containing non-coding regions and a CRISPRi regulatory screen across the locus suggested concomitant regulation of UBE2E2, the more distant UBE2E1, and other neighborhood genes, and compound heterozygous loss of function of both Ube2e2 and Ube2e1 better replicated pathological adiposity and metabolic phenotypes than homozygous loss of either gene in isolation. This study advances a model whereby regulatory effects of non-coding variation not only extend beyond the nearest gene but may also drive complex diseases through polygenic regulatory effects.
Authors
Yang Zhang, Natalie L. David, Tristan Pesaresi, Rosemary E. Andrews, G.V. Naveen Kumar, Hongyin Chen, Wanning Qiao, Jinzhao Yang, Kareena Patel, Tania Amorim, Ankit X. Sharma, Silvia Liu, Matthew L. Steinhauser
