Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Ancestry-Specific Predisposing Germline Variants in Cancer

View ORCID ProfileNinad Oak, Andrew D. Cherniack, View ORCID ProfileR. Jay Mashl, TCGA Analysis Network, Fred R. Hirsch, View ORCID ProfileLi Ding, Rameen Beroukhim, Zeynep H. Gümüş, View ORCID ProfileSharon E. Plon, Kuan-lin Huang
doi: https://doi.org/10.1101/2020.04.14.032557
Ninad Oak
1Department of Oncology, St. Jude Children’s Research Hospital, Memphis, TN 38105
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Ninad Oak
Andrew D. Cherniack
2The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
3Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
R. Jay Mashl
4Department of Medicine, Washington University in St. Louis, MO 63108
5McDonnell Genome Institute, Washington University in St. Louis, MO 63108
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for R. Jay Mashl
Fred R. Hirsch
8Center for Thoracic Oncology, Tisch Cancer Institute, Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Li Ding
4Department of Medicine, Washington University in St. Louis, MO 63108
5McDonnell Genome Institute, Washington University in St. Louis, MO 63108
6Department of Genetics, Washington University in St. Louis, MO 63108
7Siteman Cancer Center, Washington University in St. Louis, MO 63108
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Li Ding
Rameen Beroukhim
2The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
3Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
12Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Zeynep H. Gümüş
9Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029
10Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sharon E. Plon
13Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030
14Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030
15Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Sharon E. Plon
Kuan-lin Huang
9Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029
10Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029
11Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, New York, NY 10029
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: kuan-lin.huang@mssm.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Background Cancer risk differs across ancestries and these differences may result from differing prevalence of inherited genetic predisposition. Yet, most germline genomic studies performed to date have focused on individuals of European ancestry. Ancestry-specific analyses of germline genomes are required to inform cancer genetic risk and prognosis for each ancestral group. Here, we investigate potentially germline pathogenic variants in cancer predisposition genes (CPG) and their somatic effects in patients across diverse ancestral backgrounds.

Methods We performed a retrospective analysis of germline genomic data of 9,899 patients from 33 cancer types generated by The Cancer Genome Atlas (TCGA) project along with matching somatic genomic and transcriptomic data. By collapsing pathogenic and likely pathogenic variants to the gene level, we analyzed the association between variants in CPGs and cancer types within each ancestry. We also identified ancestry- specific predisposing variants and their associated somatic two-hit events and gene expression levels.

Results Recent genetic ancestry analysis classified the cohort of 9,899 cancer cases into individuals of primarily European, (N = 8,184, 82.7%), African (N = 966, 9.8%), East Asian (N = 649, 6.6%), South Asian (N=48, 0.5%), Native/Latin American (N=41, 0.4%), and admixed (N=11, 0.1%) ancestries. In the African ancestry, we discovered a potentially novel association of BRCA2 in lung squamous cell carcinoma (OR = 41.4 [95% CI, 6.1-275.6]; FDR = 0.002) along with the previously identified association of BRCA2 in ovarian serous cystadenocarcinoma (OR=8.5 [95% CI, 1.5-47.4]; FDR=0.045). Similarly, in the East Asian ancestry, we discovered one previously known association of BRIP1 in stomach adenocarcinoma (OR=12.8 [95% CI, 1.8-90.84]; FDR=0.038). Rare variant burden analysis further identified 7 suggestive associations for cancer-gene pairs in African ancestry individuals previously well described in European ancestry including SDHB in pheochromocytoma and paraganglioma, ATM in prostate adenocarcinoma, VHL in kidney renal clear cell carcinoma, FH in kidney renal papillary cell carcinoma, and PTEN in uterine corpus endometrial carcinoma. Loss of heterozygosity was identified for 7 out of the 15 African ancestry carriers of predisposing variants. Further, tumors from the SDHB or BRCA2 carriers showed simultaneous allelic specific expression and low gene expression of their respective affected genes; and FH splice-site variant carriers showed mis-splicing of FH.

Conclusion While several predisposing genes are shared across patients, many pathogenic variants are found to be ancestry-specific and trigger somatic effects. Analysis of larger diverse ancestries genomic cohorts are required to pinpoint ancestry- specific genetic predisposition to inform personalized diagnosis and screening strategies.

Competing Interest Statement

S.E.P. is a member of the Baylor Genetics laboratory scientific advisory panel.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Back to top
PreviousNext
Posted April 14, 2020.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Ancestry-Specific Predisposing Germline Variants in Cancer
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Ancestry-Specific Predisposing Germline Variants in Cancer
Ninad Oak, Andrew D. Cherniack, R. Jay Mashl, TCGA Analysis Network, Fred R. Hirsch, Li Ding, Rameen Beroukhim, Zeynep H. Gümüş, Sharon E. Plon, Kuan-lin Huang
bioRxiv 2020.04.14.032557; doi: https://doi.org/10.1101/2020.04.14.032557
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Ancestry-Specific Predisposing Germline Variants in Cancer
Ninad Oak, Andrew D. Cherniack, R. Jay Mashl, TCGA Analysis Network, Fred R. Hirsch, Li Ding, Rameen Beroukhim, Zeynep H. Gümüş, Sharon E. Plon, Kuan-lin Huang
bioRxiv 2020.04.14.032557; doi: https://doi.org/10.1101/2020.04.14.032557

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Genomics
Subject Areas
All Articles
  • Animal Behavior and Cognition (4382)
  • Biochemistry (9591)
  • Bioengineering (7090)
  • Bioinformatics (24858)
  • Biophysics (12600)
  • Cancer Biology (9956)
  • Cell Biology (14349)
  • Clinical Trials (138)
  • Developmental Biology (7948)
  • Ecology (12105)
  • Epidemiology (2067)
  • Evolutionary Biology (15988)
  • Genetics (10925)
  • Genomics (14738)
  • Immunology (9869)
  • Microbiology (23660)
  • Molecular Biology (9484)
  • Neuroscience (50860)
  • Paleontology (369)
  • Pathology (1539)
  • Pharmacology and Toxicology (2682)
  • Physiology (4013)
  • Plant Biology (8657)
  • Scientific Communication and Education (1508)
  • Synthetic Biology (2394)
  • Systems Biology (6433)
  • Zoology (1346)