Non-coding RNAs underlie genetic predisposition to breast cancer

• Main Authors: Mahdi Moradi Marjaneh, Jonathan Beesley, Tracy A. O’Mara, Pamela Mukhopadhyay, Lambros T. Koufariotis, Stephen Kazakoff, Nehal Hussein, Laura Fachal, Nenad Bartonicek, Kristine M. Hillman, Susanne Kaufmann, Haran Sivakumaran, Chanel E. Smart, Amy E. McCart Reed, Kaltin Ferguson, Jodi M. Saunus, Sunil R. Lakhani, Daniel R. Barnes, Antonis C. Antoniou, Marcel E. Dinger, Nicola Waddell, Douglas F. Easton, Alison M. Dunning, Georgia Chenevix-Trench, Stacey L. Edwards, Juliet D. French
• Format: Article
• Language: English
• Published: BMC 2020-01-01
• Series: Genome Biology
• Online Access: https://doi.org/10.1186/s13059-019-1876-z

Abstract Background Genetic variants identified through genome-wide association studies (GWAS) are predominantly non-coding and typically attributed to altered regulatory elements such as enhancers and promoters. However, the contribution of non-coding RNAs to complex traits is not clear. Results Using targeted RNA sequencing, we systematically annotated multi-exonic non-coding RNA (mencRNA) genes transcribed from 1.5-Mb intervals surrounding 139 breast cancer GWAS signals and assessed their contribution to breast cancer risk. We identify more than 4000 mencRNA genes and show their expression distinguishes normal breast tissue from tumors and different breast cancer subtypes. Importantly, breast cancer risk variants, identified through genetic fine-mapping, are significantly enriched in mencRNA exons, but not the promoters or introns. eQTL analyses identify mencRNAs whose expression is associated with risk variants. Furthermore, chromatin interaction data identify hundreds of mencRNA promoters that loop to regions that contain breast cancer risk variants. Conclusions We have compiled the largest catalog of breast cancer-associated mencRNAs to date and provide evidence that modulation of mencRNAs by GWAS variants may provide an alternative mechanism underlying complex traits.