Noncoding variation near UBE2E2 orchestrates cardiometabolic pathophenotypes through polygenic effectors

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.

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Publication Details

Journal
JCI Insight
Published
2024-12-10
DOI
https://doi.org/10.1172/jci.insight.184140
Citations
1
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.55

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article

Noncoding variation near UBE2E2 orchestrates cardiometabolic pathophenotypes through polygenic effectors

Rosemary E. Andrews, Silvia Liu, Matthew L. Steinhauser, Ankit X. Sharma et al.
1 citations
JCI Insight
Genetic Associations and Epidemiology
0.55
article

Noncoding variation near UBE2E2 orchestrates cardiometabolic pathophenotypes through polygenic effectors

Rosemary E. Andrews, Silvia Liu, Matthew L. Steinhauser, Ankit X. Sharma, Yang Zhang, Natalie L David, Tânia Amorim, Tristan Pesaresi, Jinzhao Yang, Keyur Patel, G. V. Naveen Kumar, Wanning Qiao, Hongyin Chen
article en
1 citations

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.

JCI InsightVol. 10(2)
Brigham and Women's Hospital (US), Harvard University (US), Sun Yat-sen University (CN), University of Pittsburgh (US)
University of Pittsburgh, National Natural Science Foundation of China, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases
Zero hunger
Openalex Percentile: Top 24%
Genetic Associations and Epidemiology
0.55
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