henhaobio
Sign in

Nature CommunicationsGeneticsPeer-reviewed journal article

SLE non-coding Genetic Risk Variant Determines the Epigenetic Dysfunction of an Immune Cell Specific Enhancer that Controls Disease-critical microRNA Expression

Guojun HouiD, Isaac T. W. HarleyiD, Xiaoming LuiD, Tian ZhouiD, Ning XuiD, Chao Yao, Yuting QiniD, Ye OuyangiD, Jianyang MaiD, Xinyi ZhuiD, Xiang YuiD, Hong XuiD, Dai DaiiD, Huihua DingiD, Zhihua YiniD, Zhizhong YeiD, Jun DengiD, Mi ZhouiD, Yuanjia TangiD, Bahram NamjouiD, Ya GuoiD, Matthew T. WeirauchiD, Leah Claire KottyaniD, John B. HarleyiD, Nan SheniD

PDFDOIPreprint

Abstract

The human genome contains millions of putative regulatory elements, which regulate gene expression. We are just beginning to understand the functional consequences of genetic variation within these regulatory elements. Since the bulk of common genetic variation impacting polygenic disease phenotypes localizes to these non-coding regions of the genome, understanding the consequences will improve our understanding of the mechanisms mediating genetic risk in human disease. Here, we define the systemic lupus erythematosus (SLE) risk variant rs2431369 as likely causal for SLE and show that it is located in a functional regulatory element that modulates miR-146a expression. We use epigenomic analysis and genome-editing to show that the rs2431697-containing region is a distal enhancer that specifically regulates miR-146a expression in a cell-type dependent manner. 3D chromatin structure analysis demonstrates physical interaction between the rs2431697-containing region and the miR-146a promoter. Further, our data show that NF-kB binds the disease protective allele in a sequence-specific manner, leading to increased expression of this immunoregulatory microRNA. Our work provides a strategy for using disease-associated variants to define the functional regulatory elements of non-coding RNA molecules such as miR-146a and provides mechanistic links between autoimmune disease risk genetic variation and disease etiology.

Citations
74
FWCI
11.85
Field percentile
top 1%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISWang '24Lu '21Molineros '19Singh '23Nair '20Thynn '19
70% semantic matchGenetics
Qiang Wang, Taehyeung Kim, Marta Martínez‐Bonet+12 more·Nature Communications·Aug 9, 2024· 10 citations