Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/30797
Title: Cancer-driving mutations are enriched in genic regions intolerant to germline variation.
Austin Authors: Vitsios, Dimitrios;Dhindsa, Ryan S;Matelska, Dorota;Mitchell, Jonathan;Zou, Xuequing;Armenia, Joshua;Hu, Fengyuan;Wang, Quanli;Sidders, Ben;Harper, Andrew R;Petrovski, Slavé
Affiliation: General Medicine
Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK..
Bioinformatics and Data Science, Research, and Early Development, Oncology R&D, AstraZeneca, Cambridge, UK..
Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Waltham, MA, USA..
Issue Date: 26-Aug-2022
Date: 2022
Publication information: Science Advances 2022; 8(34): eabo6371
Abstract: Large reference datasets of protein-coding variation in human populations have allowed us to determine which genes and genic subregions are intolerant to germline genetic variation. There is also a growing number of genes implicated in severe Mendelian diseases that overlap with genes implicated in cancer. We hypothesized that cancer-driving mutations might be enriched in genic subregions that are depleted of germline variation relative to somatic variation. We introduce a new metric, OncMTR (oncology missense tolerance ratio), which uses 125,748 exomes in the Genome Aggregation Database (gnomAD) to identify these genic subregions. We demonstrate that OncMTR can significantly predict driver mutations implicated in hematologic malignancies. Divergent OncMTR regions were enriched for cancer-relevant protein domains, and overlaying OncMTR scores on protein structures identified functionally important protein residues. Last, we performed a rare variant, gene-based collapsing analysis on an independent set of 394,694 exomes from the UK Biobank and find that OncMTR markedly improves genetic signals for hematologic malignancies.
URI: https://ahro.austin.org.au/austinjspui/handle/1/30797
DOI: 10.1126/sciadv.abo6371
ORCID: 0000-0002-8939-5445
0000-0002-8965-0813
0000-0003-0798-3479
0000-0002-1756-7551
0000-0003-2733-3078
0000-0002-1527-961X
Journal: Science Advances
PubMed URL: 36026442
Type: Journal Article
Appears in Collections:Journal articles

Show full item record

Page view(s)

24
checked on Dec 22, 2024

Google ScholarTM

Check


Items in AHRO are protected by copyright, with all rights reserved, unless otherwise indicated.