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Yu Y, Alvarado R, Petty LE, Bohlender RJ, Shaw DM, Below JE, Bejar N, Ruiz OE, Tandon B, Eisenhoffer GT, Kiss DL, Huff CD, Letra A, Hecht JT. Polygenic risk impacts PDGFRA mutation penetrance in non-syndromic cleft lip and palate. Hum Mol Genet 2022; 31:2348-2357. [PMID: 35147171 PMCID: PMC9307317 DOI: 10.1093/hmg/ddac037] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 02/03/2022] [Accepted: 02/04/2022] [Indexed: 11/12/2022] Open
Abstract
Non-syndromic cleft lip with or without cleft palate (NSCL/P) is a common, severe craniofacial malformation that imposes significant medical, psychosocial and financial burdens. NSCL/P is a multifactorial disorder with genetic and environmental factors playing etiologic roles. Currently, only 25% of the genetic variation underlying NSCL/P has been identified by linkage, candidate gene and genome-wide association studies. In this study, whole-genome sequencing and genome-wide genotyping followed by polygenic risk score (PRS) and linkage analyses were used to identify the genetic etiology of NSCL/P in a large three-generation family. We identified a rare missense variant in PDGFRA (c.C2740T; p.R914W) as potentially etiologic in a gene-based association test using pVAAST (P = 1.78 × 10-4) and showed decreased penetrance. PRS analysis suggested that variant penetrance was likely modified by common NSCL/P risk variants, with lower scores found among unaffected carriers. Linkage analysis provided additional support for PRS-modified penetrance, with a 7.4-fold increase in likelihood after conditioning on PRS. Functional characterization experiments showed that the putatively causal variant was null for signaling activity in vitro; further, perturbation of pdgfra in zebrafish embryos resulted in unilateral orofacial clefting. Our findings show that a rare PDGFRA variant, modified by additional common NSCL/P risk variants, have a profound effect on NSCL/P risk. These data provide compelling evidence for multifactorial inheritance long postulated to underlie NSCL/P and may explain some unusual familial patterns.
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Affiliation(s)
- Yao Yu
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Rolando Alvarado
- Center for RNA Therapeutics, Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, TX 77030, USA
- Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, TX 77030, USA
| | - Lauren E Petty
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Ryan J Bohlender
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Douglas M Shaw
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Jennifer E Below
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Nada Bejar
- Center for RNA Therapeutics, Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, TX 77030, USA
- Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, TX 77030, USA
| | - Oscar E Ruiz
- Department of Genetics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Bhavna Tandon
- Department of Pediatrics and Pediatric Research Center, UTHealth McGovern Medical School, Houston, TX 77030, USA
| | - George T Eisenhoffer
- Department of Genetics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Daniel L Kiss
- Center for RNA Therapeutics, Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, TX 77030, USA
- Department of Cardiovascular Sciences, Houston Methodist Research Institute, Houston, TX 77030, USA
| | - Chad D Huff
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ariadne Letra
- Department of Diagnostic and Biomedical Sciences, UTHealth School of Dentistry at Houston, Houston, TX 77054, USA
- Center for Craniofacial Research, UTHealth School of Dentistry at Houston, Houston 77054, TX, USA
| | - Jacqueline T Hecht
- Department of Pediatrics and Pediatric Research Center, UTHealth McGovern Medical School, Houston, TX 77030, USA
- Center for Craniofacial Research, UTHealth School of Dentistry at Houston, Houston 77054, TX, USA
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4
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Yu Y, Chang K, Chen JS, Bohlender RJ, Fowler J, Zhang D, Huang M, Chang P, Li Y, Wong J, Wang H, Gu J, Wu X, Schildkraut J, Cannon-Albright L, Ye Y, Zhao H, Hildebrandt MA, Permuth JB, Li D, Scheet P, Huff CD. A whole-exome case-control association study to characterize the contribution of rare coding variation to pancreatic cancer risk. HGG ADVANCES 2022; 3:100078. [PMID: 35047863 PMCID: PMC8756505 DOI: 10.1016/j.xhgg.2021.100078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 12/08/2021] [Indexed: 10/26/2022] Open
Abstract
Pancreatic cancer is a deadly disease that accounts for approximately 5% of cancer deaths worldwide, with a dismal 5-year survival rate of 10%. Known genetic risk factors explain only a modest proportion of the heritable risk of pancreatic cancer. We conducted a whole-exome case-control sequencing study in 1,591 pancreatic cancer cases and 2,134 cancer-free controls of European ancestry. In our gene-based analysis, ATM ranked first, with a genome-wide significant p value of 1 × 10-8. The odds ratio for protein-truncating variants in ATM was 24, which is substantially higher than prior estimates, although ours includes a broad 95% confidence interval (4.0-1000). SIK3 was the second highest ranking gene (p = 3.84 × 10-6, false discovery rate or FDR = 0.032). We observed nominally significant association signals in several genes of a priori interest, including BRCA2 (p = 4.3 × 10-4), STK11 (p = 0.003), PALB2 (p = 0.019), and TP53 (p = 0.037), and reported risk estimates for known pathogenic variants and variants of uncertain significance (VUS) in these genes. The rare variants in established susceptibility genes explain approximately 24% of log familial relative risk, which is comparable to the contribution from established common susceptibility variants (17%). In conclusion, this study provides new insights into the genetic susceptibility of pancreatic cancer, refining rare variant risk estimates in known pancreatic cancer susceptibility genes and identifying SIK3 as a novel candidate susceptibility gene. This study highlights the prominent importance of ATM truncating variants and the underappreciated role of VUS in pancreatic cancer etiology.
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Affiliation(s)
- Yao Yu
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kyle Chang
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jiun-Sheng Chen
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ryan J. Bohlender
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jerry Fowler
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Di Zhang
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Maosheng Huang
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ping Chang
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yanan Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Justin Wong
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Huamin Wang
- Department of Anatomical Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jian Gu
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xifeng Wu
- Center for Clinical Big Data and Analytics, Bioinformatics and Big Data, The Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, PR China
| | - Joellen Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Lisa Cannon-Albright
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Yuanqing Ye
- Center for Clinical Big Data and Analytics, Bioinformatics and Big Data, The Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, PR China
| | - Hua Zhao
- Department of Family Medicine and Population Health, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | | | - Jennifer B. Permuth
- Departments of Cancer Epidemiology and Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, FL, USA
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Paul Scheet
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Chad D. Huff
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
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5
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Song H, Dicks EM, Tyrer J, Intermaggio M, Chenevix-Trench G, Bowtell DD, Traficante N, Group A, Brenton J, Goranova T, Hosking K, Piskorz A, van Oudenhove E, Doherty J, Harris HR, Rossing MA, Duerst M, Dork T, Bogdanova NV, Modugno F, Moysich K, Odunsi K, Ness R, Karlan BY, Lester J, Jensen A, Krüger Kjaer S, Høgdall E, Campbell IG, Lázaro C, Pujara MA, Cunningham J, Vierkant R, Winham SJ, Hildebrandt M, Huff C, Li D, Wu X, Yu Y, Permuth JB, Levine DA, Schildkraut JM, Riggan MJ, Berchuck A, Webb PM, Group OS, Cybulski C, Gronwald J, Jakubowska A, Lubinski J, Alsop J, Harrington P, Chan I, Menon U, Pearce CL, Wu AH, de Fazio A, Kennedy CJ, Goode E, Ramus S, Gayther S, Pharoah P. Population-based targeted sequencing of 54 candidate genes identifies PALB2 as a susceptibility gene for high-grade serous ovarian cancer. J Med Genet 2021; 58:305-313. [PMID: 32546565 PMCID: PMC8086250 DOI: 10.1136/jmedgenet-2019-106739] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 03/13/2020] [Accepted: 05/12/2020] [Indexed: 11/19/2022]
Abstract
PURPOSE The known epithelial ovarian cancer (EOC) susceptibility genes account for less than 50% of the heritable risk of ovarian cancer suggesting that other susceptibility genes exist. The aim of this study was to evaluate the contribution to ovarian cancer susceptibility of rare deleterious germline variants in a set of candidate genes. METHODS We sequenced the coding region of 54 candidate genes in 6385 invasive EOC cases and 6115 controls of broad European ancestry. Genes with an increased frequency of putative deleterious variants in cases versus controls were further examined in an independent set of 14 135 EOC cases and 28 655 controls from the Ovarian Cancer Association Consortium and the UK Biobank. For each gene, we estimated the EOC risks and evaluated associations between germline variant status and clinical characteristics. RESULTS The ORs associated for high-grade serous ovarian cancer were 3.01 for PALB2 (95% CI 1.59 to 5.68; p=0.00068), 1.99 for POLK (95% CI 1.15 to 3.43; p=0.014) and 4.07 for SLX4 (95% CI 1.34 to 12.4; p=0.013). Deleterious mutations in FBXO10 were associated with a reduced risk of disease (OR 0.27, 95% CI 0.07 to 1.00, p=0.049). However, based on the Bayes false discovery probability, only the association for PALB2 in high-grade serous ovarian cancer is likely to represent a true positive. CONCLUSIONS We have found strong evidence that carriers of PALB2 deleterious mutations are at increased risk of high-grade serous ovarian cancer. Whether the magnitude of risk is sufficiently high to warrant the inclusion of PALB2 in cancer gene panels for ovarian cancer risk testing is unclear; much larger sample sizes will be needed to provide sufficiently precise estimates for clinical counselling.
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Affiliation(s)
- Honglin Song
- Department of Oncology, University of Cambridge, Cambridge, Cambridgeshire, UK
| | - Ed M Dicks
- Department of Oncology, University of Cambridge, Cambridge, Cambridgeshire, UK
| | - Jonathan Tyrer
- Department of Oncology, University of Cambridge, Cambridge, Cambridgeshire, UK
| | - Maria Intermaggio
- School of Women's and Children's Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Georgia Chenevix-Trench
- Cancer Genetics, Queensland Institute of Medical Research-QIMR, Herston, Queensland, Australia
| | - David D Bowtell
- Cancer Genomics and Genetics and Women's Cancer Programs, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Nadia Traficante
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Aocs Group
- QIMR Berghofer Department of Genetics and Computational Biology, Herston, Queensland, Australia
- Department of Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - James Brenton
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, Cambridgeshire, UK
| | - Teodora Goranova
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, Cambridgeshire, UK
| | - Karen Hosking
- Department of Oncology, University of Cambridge, Cambridge, Cambridgeshire, UK
| | - Anna Piskorz
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, Cambridgeshire, UK
| | - Elke van Oudenhove
- Laura and Isaac Perlmutter Cancer Center, New York University, New York, New York, USA
| | - Jen Doherty
- Huntsman Institute, University of Utah, Salt Lake City, Utah, USA
| | - Holly R Harris
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Mary Anne Rossing
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Matthias Duerst
- Department of Gynaecology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Thüringen, Germany
| | - Thilo Dork
- Gynaecology Research Unit, Hannover Medical School, Hannover, Niedersachsen, Germany
| | - Natalia V Bogdanova
- Department of Radiation Oncology, Hannover Medical School, Hannover, Niedersachsen, Germany
- Department of Gynaecology, NN Alexandrov National Cancer Centre, Minsk, Minsk, Belarus
| | - Francesmary Modugno
- Womens Cancer Research Center, Magee-Womens Research Institute, Pittsburgh, Pennsylvania, USA
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Kirsten Moysich
- Division of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York, USA
| | - Kunle Odunsi
- Department of Gynecologic Oncology, Roswell Park Cancer Institute, Buffalo, New York, USA
| | - Roberta Ness
- School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Beth Y Karlan
- Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
- Women's Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Jenny Lester
- Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
- Women's Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Allan Jensen
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Kobenhavn, Denmark
| | - Susanne Krüger Kjaer
- Department of Gynaecology, Rigshospitalet, University of Copenhagen, Kobenhavn, Denmark
| | - Estrid Høgdall
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Kobenhavn, Denmark
- Department of Pathology, Herlev Hospital, University of Copenhagen, Kobenhavn, Denmark
| | - Ian G Campbell
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Research, Cancer Genomics and Genetics, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Conxi Lázaro
- Hereditary Cancer Program, Catalan Institute of Oncology, Barcelona, Catalunya, Spain
| | - Miguel Angel Pujara
- Translational Research Laboratory, Catalan Institute of Oncology, Barcelona, Catalunya, Spain
| | - Julie Cunningham
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Robert Vierkant
- Department of Health Science Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Stacey J Winham
- Department of Health Science Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Michelle Hildebrandt
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Chad Huff
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Donghui Li
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Xifeng Wu
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Yao Yu
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jennifer B Permuth
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Douglas A Levine
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Gynecologic Oncology, Laura and Isaac Pearlmutter Cancer Center, New York University, New York, New York, USA
| | - Joellen M Schildkraut
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Marjorie J Riggan
- Department of Gynecologic Oncology, Duke University Hospital, Durham, North Carolina, USA
| | - Andrew Berchuck
- Department of Gynecologic Oncology, Duke University Hospital, Durham, North Carolina, USA
| | - Penelope M Webb
- Population Health Department, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Opal Study Group
- Population Health Department, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Cezary Cybulski
- Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, Szczecin, Zachodniopomorskie, Poland
| | - Jacek Gronwald
- Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, Szczecin, Zachodniopomorskie, Poland
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, Szczecin, Zachodniopomorskie, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University in Szczecin, Szczecin, Zachodniopomorskie, Poland
| | - Jan Lubinski
- Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, Szczecin, Zachodniopomorskie, Poland
| | - Jennifer Alsop
- Department of Oncology, University of Cambridge, Cambridge, Cambridgeshire, UK
| | - Patricia Harrington
- Department of Oncology, University of Cambridge, Cambridge, Cambridgeshire, UK
| | - Isaac Chan
- School of Women's and Children's Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Usha Menon
- MRC Clinical Trials Unit, Institute of Clinical Trials & Methodology, University College London, London, London, UK
| | - Celeste L Pearce
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Anna de Fazio
- Centre for Cancer Research, The Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales, Australia
- Department of Gynaecological Oncology, Westmead Hospital, Westmead, New South Wales, Australia
| | - Catherine J Kennedy
- Centre for Cancer Research, The Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales, Australia
- Department of Gynaecological Oncology, Westmead Hospital, Westmead, New South Wales, Australia
| | - Ellen Goode
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Susan Ramus
- School of Women's and Children's Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
| | - Simon Gayther
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Paul Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
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6
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Yu Y, Hu H, Chen JS, Hu F, Fowler J, Scheet P, Zhao H, Huff CD. Integrated case-control and somatic-germline interaction analyses of melanoma susceptibility genes. Biochim Biophys Acta Mol Basis Dis 2018; 1864:2247-2254. [PMID: 29317335 DOI: 10.1016/j.bbadis.2018.01.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 12/20/2017] [Accepted: 01/04/2018] [Indexed: 12/18/2022]
Abstract
While a number of genes have been implicated in melanoma susceptibility, the role of protein-coding variation in melanoma development and progression remains underexplored. To better characterize the role of germline coding variation in melanoma, we conducted a whole-exome case-control and somatic-germline interaction study involving 322 skin cutaneous melanoma cases from The Cancer Genome Atlas and 3607 controls of European ancestry. We controlled for cross-platform technological stratification using XPAT and conducted gene-based association tests using VAAST 2. Four established melanoma susceptibility genes achieved nominal statistical significance, MC1R (p = .0014), MITF (p = .0165) BRCA2 (p = .0206), and MTAP (p = .0393). We also observed a suggestive association for FANCA (p = .002), a gene previously implicated in melanoma survival. The association signal for BRCA2 was driven primarily by likely gene disrupting (LGD) variants, with an Odds Ratio (OR) of 5.62 (95% Confidence Interval (CI) 1.03-30.1). In contrast, the association signals for MC1R and MITF were driven primarily by predicted pathogenic missense variants, with estimated ORs of 1.4 to 3.0 for MC1R and 4.1 for MITF. MTAP exhibited an excess of both LGD and predicted damaging missense variants among cases, with ORs of 5.62 and 3.72, respectively, although neither category was significant. For individuals with known or predicted damaging variants, age of disease onset was significantly lower for two of the four genes, MC1R (p = .005) and MTAP (p = .035). In an analysis of germline carrier status and overlapping copy number alterations, we observed no evidence to support a two-hit model of carcinogenesis in any of the four genes. Although MC1R carriers were represented proportionally among the four molecular tumor subtypes, these individuals accounted for 69% of ultraviolet (UV) radiation mutational signatures among triple-wild type tumors (p = .040), highlighting the increased sensitivity to UV exposure among individuals with loss-of-function variants in MC1R.
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Affiliation(s)
- Yao Yu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hao Hu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jiun-Sheng Chen
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Fulan Hu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Epidemiology, Public Health College, Harbin Medical University, Harbin, Heilongjiang 150081, China
| | - Jerry Fowler
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Paul Scheet
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hua Zhao
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Chad D Huff
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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