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Intergenic disease-associated regions are abundant in novel transcripts

Title: Intergenic disease-associated regions are abundant in novel transcripts
Authors: Bartonicek, N; Clark, MB; Quek, XC; Torpy, JR; Pritchard, AL; Maag, JLV; Gloss, BS; Crawford, J; Taft, RJ; Hayward, NK; Montgomery, GW; Mattick, JS; Mercer, TR; Dinger, ME
Publisher Information: BioMed Central
Publication Year: 2018
Collection: Oxford University Research Archive (ORA)
Description: Background Genotyping of large populations through genome-wide association studies (GWAS) has successfully identified many genomic variants associated with traits or disease risk. Unexpectedly, a large proportion of GWAS single nucleotide polymorphisms (SNPs) and associated haplotype blocks are in intronic and intergenic regions, hindering their functional evaluation. While some of these risk-susceptibility regions encompass cis-regulatory sites, their transcriptional potential has never been systematically explored. Results To detect rare tissue-specific expression, we employed the transcript-enrichment method CaptureSeq on 21 human tissues to identify 1775 multi-exonic transcripts from 561 intronic and intergenic haploblocks associated with 392 traits and diseases, covering 73.9 Mb (2.2%) of the human genome. We show that a large proportion (85%) of disease-associated haploblocks express novel multi-exonic non-coding transcripts that are tissue-specific and enriched for GWAS SNPs as well as epigenetic markers of active transcription and enhancer activity. Similarly, we captured transcriptomes from 13 melanomas, targeting nine melanoma-associated haploblocks, and characterized 31 novel melanoma-specific transcripts that include fusion proteins, novel exons and non-coding RNAs, one-third of which showed allelically imbalanced expression. Conclusions This resource of previously unreported transcripts in disease-associated regions (http://gwas-captureseq.dingerlab.org) should provide an important starting point for the translational community in search of novel biomarkers, disease mechanisms, and drug targets.
Document Type: article in journal/newspaper
Language: English
DOI: 10.1186/s13059-017-1363-3
Availability: https://doi.org/10.1186/s13059-017-1363-3; https://ora.ox.ac.uk/objects/uuid:c0a0aa7e-9776-4d85-b498-d1fec43c89f8
Rights: info:eu-repo/semantics/openAccess ; CC Attribution (CC BY)
Accession Number: edsbas.FDC8F004
Database: BASE