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Noncoding variation near UBE2E2 orchestrates cardiometabolic pathophenotypes through polygenic effectors
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
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
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Research Article Endocrinology Genetics

Noncoding variation near UBE2E2 orchestrates cardiometabolic pathophenotypes through polygenic effectors

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Abstract

Mechanisms underpinning signals from genome-wide association studies remain poorly understood, particularly for noncoding 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 noncoding single nucleotide variants (SNVs) are associated with both T2D and visceral adiposity (a pathologic endophenotype). We integrated CRISPR targeting of SNV-containing regions and unbiased CRISPR interference (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 noncoding 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 compared with homozygous loss of either gene in isolation. This study advances a model whereby regulatory effects of noncoding 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

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Figure 4

Functional divergence of UBE2E2 and UBE2E1.

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Functional divergence of UBE2E2 and UBE2E1.
(A) Schematic depicting mult...
(A) Schematic depicting multi-omics investigation of molecular programs with Ube2e2 and Ube2e1 loss of function. 3T3L1 cells expressing shUbe2e2, shUbe2e1, or scramble control were analyzed at confluency or after adipogenic induction (DMI). (B) Volcano plots demonstrate differential protein levels in cell homogenates. Proteins previously linked to adipogenesis or T2D are indicated. (C) Venn diagrams showing overlap of differentially regulated proteins. (D) RNA-Seq data visualized by volcano plot. (E) Venn diagrams showing overlap of differentially regulated gene programs as assessed by GSEA.

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