FUNCTIONAL VALIDATION OF NON-CODING REGULATORY VARIANTS ASSOCIATED WITH CHILDHOOD CARDIOMYOPATHY

2021 ◽  
Vol 37 (10) ◽  
pp. S68
Author(s):  
A Said ◽  
R Lesurf ◽  
K Delfosse ◽  
W Oliveros ◽  
K Mattiolo ◽  
...  
2017 ◽  
Author(s):  
Adel Boueiz ◽  
Robert Chase ◽  
Andrew Lamb ◽  
Sool Lee ◽  
Zun Zar Chi Naing ◽  
...  

ABSTRACTBackgroundSeveral genetic risk loci associated with emphysema apico-basal distribution (EABD) have been identified through genome-wide association studies (GWAS), but the biological functions of these variants are unknown. To characterize gene regulatory functions of EABD-associated variants, we integrated EABD GWAS results with 1) a multi-tissue panel of expression quantitative trait loci (eQTL) from subjects with COPD and the GTEx project and 2) epigenomic marks from 127 cell types in the Roadmap Epigenomics project. Functional validation was performed for a variant near ACVR1B.ResultsSNPs from 168 loci with P-values<5x10-5 in the largest GWAS meta-analysis of EABD (Boueiz A. et al, AJRCCM 2017) were analyzed. 54 loci overlapped eQTL regions from our multi-tissue panel, and 7 of these loci showed a high probability of harboring a single, shared GWAS and eQTL causal variant (colocalization posterior probability≥0.9). 17 cell types exhibited greater than expected overlap between EABD loci and DNase-I hypersensitive peaks, DNaseI hotspots, enhancer marks, or digital DNaseI footprints (permutation P-value < 0.05), with the strongest enrichment observed in CD4+, CD8+, and regulatory T cells. A region near ACVR1B demonstrated significant colocalization with a lung eQTL and overlapped DNase-I hypersensitive regions in multiple cell types, and reporter assays in human bronchial epithelial cells confirmed allele-specific regulatory activity for the lead variant, rs7962469.ConclusionsIntegrative analysis highlights candidate causal genes, regulatory variants, and cell types that may contribute to the pathogenesis of emphysema distribution. These findings will enable more accurate functional validation studies and better understanding of emphysema distribution biology.


Author(s):  
Giada Ostinelli ◽  
Jinchu Vijay ◽  
Marie-Claude Vohl ◽  
Elin Grundberg ◽  
Andre Tchernof

2021 ◽  
Vol 29 ◽  
pp. S10
Author(s):  
T.D. Capellini ◽  
P. Muthuirulan ◽  
Z. Liu ◽  
A.M. Kiapour ◽  
J. Sieker ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Qingbo S. Wang ◽  
David R. Kelley ◽  
Jacob Ulirsch ◽  
Masahiro Kanai ◽  
Shuvom Sadhuka ◽  
...  

AbstractThe large majority of variants identified by GWAS are non-coding, motivating detailed characterization of the function of non-coding variants. Experimental methods to assess variants’ effect on gene expressions in native chromatin context via direct perturbation are low-throughput. Existing high-throughput computational predictors thus have lacked large gold standard sets of regulatory variants for training and validation. Here, we leverage a set of 14,807 putative causal eQTLs in humans obtained through statistical fine-mapping, and we use 6121 features to directly train a predictor of whether a variant modifies nearby gene expression. We call the resulting prediction the expression modifier score (EMS). We validate EMS by comparing its ability to prioritize functional variants with other major scores. We then use EMS as a prior for statistical fine-mapping of eQTLs to identify an additional 20,913 putatively causal eQTLs, and we incorporate EMS into co-localization analysis to identify 310 additional candidate genes across UK Biobank phenotypes.


Cell Reports ◽  
2021 ◽  
Vol 35 (12) ◽  
pp. 109275
Author(s):  
Agnese De Mario ◽  
Anna Tosatto ◽  
Julia Marie Hill ◽  
Janos Kriston-Vizi ◽  
Robin Ketteler ◽  
...  

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