scholarly journals Genetic Basis of Alternative Polyadenylation is an Emerging Molecular Phenotype for Human Traits and Diseases

2019 ◽  
Author(s):  
Lei Li ◽  
Yipeng Gao ◽  
Fanglue Peng ◽  
Eric J. Wagner ◽  
Wei Li

SUMMARYGenome-wide association studies have identified thousands of non-coding variants that are statistically associated with human traits and diseases. However, functional interpretation of these variants remains a major challenge. Here, we describe the first atlas of human 3’-UTR alternative polyadenylation (APA) Quantitative Trait Loci (3’QTLs), i.e. ∼0.4 million genetic variants associated with APA of target genes across 46 Genotype-Tissue Expression (GTEx) tissues from 467 individuals. APA occurs in approximately 70% of human genes and substantively impacts cellular proliferation, differentiation and tumorigenesis. Mechanistically, 3’QTLs could alter polyA motifs and RNA-binding protein binding sites, leading to thousands of APA changes. Importantly, 3’QTLs can be used to interpret ∼16.1% of trait-associated variants and are largely distinct from other QTLs such as eQTLs. The genetic basis of APA (3’QTLs) thus represent a novel molecular phenotype to explain a large fraction of non-coding variants and to provide new insights into complex traits and disease etiologies.HighlightsThe first atlas of human 3’QTLs: ∼0.4 million genetic variants associated with alternative polyadenylation of target genes across 46 tissues from 467 individuals3’QTLs could alter polyA motifs and RNA-binding protein binding sites3’QTLs can be used to interpret ∼16.1% of trait-associated variantsMany disease-associated 3’QTLs contribute to phenotype independent of gene expression

2011 ◽  
Vol 286 (43) ◽  
pp. 37063-37066 ◽  
Author(s):  
Philip J. Uren ◽  
Suzanne C. Burns ◽  
Jianhua Ruan ◽  
Kusum K. Singh ◽  
Andrew D. Smith ◽  
...  

2019 ◽  
Author(s):  
Saber HafezQorani ◽  
Aissa Houdjedj ◽  
Mehmet Arici ◽  
Abdesselam Said ◽  
Hilal Kazan

AbstractSummaryLong noncoding RNAs (lncRNAs) can act as molecular sponges or decoys for an RNA-binding protein (RBP) through their RBP binding sites, thereby modulating the expression of all target genes of the corresponding RBP of interest. Here, we present a web tool named RBPSponge to explore lncRNAs based on their potential to act as a sponge for an RBP of interest. RBPSponge identifies the occurrences of RBP binding sites and CLIP peaks on lncRNAs, and enables users to run statistical analyses to investigate the regulatory network between lncRNAs, RBPs and targets of RBPs.AvailabilityThe web server is available athttps://[email protected]


2019 ◽  
Vol 35 (22) ◽  
pp. 4760-4763 ◽  
Author(s):  
Saber HafezQorani ◽  
Aissa Houdjedj ◽  
Mehmet Arici ◽  
Abdesselam Said ◽  
Hilal Kazan

Abstract Summary Long non-coding RNAs (lncRNAs) can act as molecular sponge or decoys for an RNA-binding protein (RBP) through their RBP-binding sites, thereby modulating the expression of all target genes of the corresponding RBP of interest. Here, we present a web tool named RBPSponge to explore lncRNAs based on their potential to act as a sponge for an RBP of interest. RBPSponge identifies the occurrences of RBP-binding sites and CLIP peaks on lncRNAs, and enables users to run statistical analyses to investigate the regulatory network between lncRNAs, RBPs and targets of RBPs. Availability and implementation The web server is available at https://www.RBPSponge.com. Supplementary information Supplementary data are available at Bioinformatics online.


2016 ◽  
Vol 13 (6) ◽  
pp. 508-514 ◽  
Author(s):  
Eric L Van Nostrand ◽  
Gabriel A Pratt ◽  
Alexander A Shishkin ◽  
Chelsea Gelboin-Burkhart ◽  
Mark Y Fang ◽  
...  

2019 ◽  
Author(s):  
Guanxiong Zhang ◽  
Aimin Xie ◽  
Jing Bai ◽  
Tao Luo ◽  
Huating Yuan ◽  
...  

Abstract Background Enhancer has been recognized as an important driver whose genetic alterations contribute to disease progression. However, there is still no easy-to-use tools to identify pathogenic enhancers, allowing for deciphering functional influence of genetic variants on enhancer. Results We developed a user-friendly one-stop shop platform, named inferring pathogenic enhancer with variant (IPEV), only requiring variants as input, to quickly infer the pathogenic enhancers that harbor variants affecting their activities. Results of IPEV are explored in an interactive, user-friendly web environment, which is designed to highlight the most probable pathogenic enhancers and their target genes. Furthermore, IPEV provides intuitive visualizations of how a variant affects the corresponding enhancer activity by mediating TF binding changes. Conclusions IPEV is specially designed to prioritize the potentially pathogenic enhancers with genetic variants, and provides intuitive visualizations how a variant affects the corresponding enhancer activity by mediating which transcription factor binding changes. The use of IPEV does not require any specialized computer skills. We believe that IPEV will be useful in interpreting non-coding variants by the inferring pathogenic enhancers. It is freely available at http://biocc.hrbmu.edu.cn/IPEV/ or http://210.46.80.168/IPEV and supports recent versions of all major browsers.


2016 ◽  
Author(s):  
Natasha G Caminsky ◽  
Eliseos J Mucaki ◽  
Ami M. Perri ◽  
Ruipeng Lu ◽  
Joan H.M. Knoll ◽  
...  

BRCA1andBRCA2testing for HBOC does not identify all pathogenic variants. Sequencing of 20 complete genes in HBOC patients with uninformative test results (N=287), including non-coding and flanking sequences ofATM,BARD1,BRCA1,BRCA2,CDH1,CHEK2,EPCAM,MLH1,MRE11A,MSH2,MSH6,MUTYH,NBN,PALB2,PMS2,PTEN,RAD51B,STK11,TP53, andXRCC2, identified 38,372 unique variants. We apply information theory (IT) to predict novel functions for and prioritize non-coding variants of uncertain significance (VUS) in throughout regulatory, coding, and intronic regions based on changes in binding sites in these genesof these genes. Besides mRNA splicing, IT provides a common framework to evaluate potential affinity changes inin transcription factor (TFBSs), splicing regulatory (SRBSs), and RNA-binding protein (RBBSs) protein binding sites following mutationat mutated binding sites. We prioritized variants affecting the strengths of 10 variants affecting splice sites (4 natural, 6 cryptic), 148 SRBS, 36 TFBS, and 31 RBBS binding strength-affecting variantss. Three variants were also prioritized based on their predicted effects on mRNA secondary (2°) structure, and 17 for pseudoexon activation. Additionally, 4 frameshift, 2 in-frame deletions, and 5 stop-gain mutations were identified. When combined with pedigree information, complete gene sequence analysis can focus attention on a limited set of variants in a wide spectrum of functional mutation types for downstream functional and co-segregation analysis.


2019 ◽  
Vol 4 (Spring 2019) ◽  
Author(s):  
Alexa Vandenburg

The Norris lab recently identified two RNA binding proteins required for proper neuron-specific splicing. The lab conducted touch- response behavioral assays to assess the function of these proteins in touch-sensing neurons. After isolating C. elegans worms with specific phenotypes, the lab used automated computer tracking and video analysis to record the worms’ behavior. The behavior of mutant worms differed from that of wild-type worms. The Norris lab also discovered two possible RNA binding protein sites in SAD-1, a neuronal gene implicated in the neuronal development of C. elegans1. These two binding sites may control the splicing of SAD-1. The lab transferred mutated DNA into the genome of wild-type worms by injecting a mutated plasmid. The newly transformed worms fluoresced green, indicating that the two binding sites control SAD-1 splicing.


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