Rare Variant, Gene-Based Association Study of Hereditary Melanoma Using Whole-Exome Sequencing

Background Extraordinary progress has been made in our understanding of common variants in many diseases, including melanoma. Because the contribution of rare coding variants is not as well characterized, we performed an exome-wide, gene-based association study of familial cutaneous melanoma (CM) and ocular melanoma (OM). Methods Using 11 990 jointly processed individual DNA samples, whole-exome sequencing was performed, followed by large-scale joint variant calling using GATK (Genome Analysis ToolKit). PLINK/SEQ was used for statistical analysis of genetic variation. Four models were used to estimate the association among different types of variants. In vitro functional validation was performed using three human melanoma cell lines in 2D and 3D proliferation assays. In vivo tumor growth was assessed using xenografts of human melanoma A375 melanoma cells in nude mice (eight mice per group). All statistical tests were two-sided. Results Strong signals were detected for CDKN2A (Pmin = 6.16 × 10-8) in the CM cohort (n = 273) and BAP1 (Pmin = 3.83 × 10-6) in the OM (n = 99) cohort. Eleven genes that exhibited borderline association (P < 10-4) were independently validated using The Cancer Genome Atlas melanoma cohort (379 CM, 47 OM) and a matched set of 3563 European controls with CDKN2A (P = .009), BAP1 (P = .03), and EBF3 (P = 4.75 × 10-4), a candidate risk locus, all showing evidence of replication. EBF3 was then evaluated using germline data from a set of 132 familial melanoma cases and 4769 controls of UK origin (joint P = 1.37 × 10-5). Somatically, loss of EBF3 expression correlated with progression, poorer outcome, and high MITF tumors. Functionally, induction of EBF3 in melanoma cells reduced cell growth in vitro, retarded tumor formation in vivo, and reduced MITF levels. Conclusions The results of this large rare variant germline association study further define the mutational landscape of hereditary melanoma and implicate EBF3 as a possible CM predisposition gene.

[1]  Daniel Rios,et al.  Bioinformatics Applications Note Databases and Ontologies Deriving the Consequences of Genomic Variants with the Ensembl Api and Snp Effect Predictor , 2022 .

[2]  Mauricio O. Carneiro,et al.  From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline , 2013, Current protocols in bioinformatics.

[3]  Euan J. Rodger,et al.  Genome-wide methylation sequencing of paired primary and metastatic cell lines identifies common DNA methylation changes and a role for EBF3 as a candidate epigenetic driver of melanoma metastasis , 2016, Oncotarget.

[4]  Harinder Singh,et al.  Assembling a gene regulatory network for specification of the B cell fate. , 2004, Developmental cell.

[5]  R. MacKie,et al.  PERSONAL RISK-FACTOR CHART FOR CUTANEOUS MELANOMA , 1989, The Lancet.

[6]  The effect on melanoma risk of genes previously associated with telomere length , 2014 .

[7]  F. Xing,et al.  Early B-cell factor 3 (EBF3) is a novel tumor suppressor gene with promoter hypermethylation in pediatric acute myeloid leukemia , 2015, Journal of Experimental & Clinical Cancer Research.

[8]  J. Elwood Pigmentation and skin reaction to sun as risk factors for cutaneous melanoma: Western Canada melanoma study , 1985 .

[9]  N. Dubrawsky Cancer statistics , 1989, CA: a cancer journal for clinicians.

[10]  N. Masurel,et al.  EFFICACY OF INFLUENZA VACCINES , 1974 .

[11]  K. Brown,et al.  A novel recurrent mutation in MITF predisposes to familial and sporadic melanoma , 2011, Nature.

[12]  Å. Borg,et al.  Mapping of a novel ocular and cutaneous malignant melanoma susceptibility locus to chromosome 9q21.32. , 2005, Journal of the National Cancer Institute.

[13]  H. Tsao,et al.  Hereditary melanoma: Update on syndromes and management: Emerging melanoma cancer complexes and genetic counseling. , 2016, Journal of the American Academy of Dermatology.

[14]  S. Puig,et al.  A SUMOylation-defective MITF germline mutation predisposes to melanoma and renal carcinoma , 2011, Nature.

[15]  H. Tsao,et al.  Hereditary melanoma: Update on syndromes and management: Genetics of familial atypical multiple mole melanoma syndrome. , 2016, Journal of the American Academy of Dermatology.

[16]  Manuel A. R. Ferreira,et al.  PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.

[17]  Daiqing Liao Emerging Roles of the EBF Family of Transcription Factors in Tumor Suppression , 2009, Molecular Cancer Research.

[18]  L. Naldi,et al.  Sun Exposure, Phenotypic Characteristics, and Cutaneous Malignant Melanoma. An Analysis According to Different Clinico-Pathological Variants and Anatomic Locations (Italy) , 2005, Cancer Causes & Control.

[19]  E. Gillanders,et al.  Localization of a novel melanoma susceptibility locus to 1p22. , 2003, American journal of human genetics.

[20]  J. Spinelli,et al.  Suntan, sunburn, and pigmentation factors and the frequency of acquired melanocytic nevi in children. Similarities to melanoma: the Vancouver Mole Study. , 1990, Archives of dermatology.

[21]  M. Sigvardsson,et al.  Structural Determination of Functional Domains in Early B-cell Factor (EBF) Family of Transcription Factors Reveals Similarities to Rel DNA-binding Proteins and a Novel Dimerization Motif* , 2010, The Journal of Biological Chemistry.

[22]  M. DePristo,et al.  The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. , 2010, Genome research.

[23]  M. Daly,et al.  Searching for missing heritability: Designing rare variant association studies , 2014, Proceedings of the National Academy of Sciences.

[24]  T. Spector,et al.  Genome-wide search for nevus density shows linkage to two melanoma loci on chromosome 9 and identifies a new QTL on 5q31 in an adult twin cohort. , 2006, Human molecular genetics.

[25]  G. Abecasis,et al.  Rare-variant association analysis: study designs and statistical tests. , 2014, American journal of human genetics.

[26]  Stephan J Sanders,et al.  A framework for the interpretation of de novo mutation in human disease , 2014, Nature Genetics.

[27]  S. Franceschi,et al.  Risk of cutaneous melanoma associated with a family history of the disease , 1995, International journal of cancer.

[28]  S. Vlajković,et al.  Ocular melanoma: an overview of the current status. , 2013, International journal of clinical and experimental pathology.

[29]  Rebecca L. Siegel Mph,et al.  Cancer statistics, 2016 , 2016 .

[30]  D. Reich,et al.  Principal components analysis corrects for stratification in genome-wide association studies , 2006, Nature Genetics.

[31]  M. DePristo,et al.  A framework for variation discovery and genotyping using next-generation DNA sequencing data , 2011, Nature Genetics.

[32]  A. Jemal,et al.  Cancer statistics, 2016 , 2016, CA: a cancer journal for clinicians.

[33]  B K Armstrong,et al.  Pigmentary traits, ethnic origin, benign nevi, and family history as risk factors for cutaneous malignant melanoma. , 1984, Journal of the National Cancer Institute.

[34]  D. Easton,et al.  Risk of cutaneous melanoma associated with pigmentation characteristics and freckling: Systematic overview of 10 case‐control studies , 1995 .

[35]  Andrew J. Hill,et al.  Analysis of protein-coding genetic variation in 60,706 humans , 2015, bioRxiv.

[36]  W. Clark,et al.  DYSPLASTIC NAEVI AND CUTANEOUS MELANOMA RISK , 1983, The Lancet.

[37]  G. Parmigiani,et al.  Familial Risk and Heritability of Cancer Among Twins in Nordic Countries. , 2016, JAMA.

[38]  P. Green,et al.  Mapping the gene for hereditary cutaneous malignant melanoma-dysplastic nevus to chromosome 1p. , 1989, The New England journal of medicine.

[39]  E. Holly,et al.  Cutaneous melanoma in women. II. Phenotypic characteristics and other host-related factors. , 1995, American journal of epidemiology.

[40]  Marko Hočevar,et al.  Genome-wide meta-analysis identifies five new susceptibility loci for cutaneous malignant melanoma , 2015, Nature Genetics.

[41]  Jeffrey E. Lee,et al.  The Effect on Melanoma Risk of Genes Previously Associated With Telomere Length , 2014, Journal of the National Cancer Institute.

[42]  Jeffrey E. Lee,et al.  Association of Common Genetic Polymorphisms with Melanoma Patient IL-12p40 Blood Levels, Risk, and Outcomes , 2015, The Journal of investigative dermatology.

[43]  R. Durbin,et al.  Sequence analysis Fast and accurate short read alignment with Burrows – Wheeler transform , 2009 .

[44]  M. Skolnick,et al.  Assignment of a locus for familial melanoma, MLM, to chromosome 9p13-p22. , 1992, Science.

[45]  W. Clark,et al.  High risk of malignant melanoma in melanoma-prone families with dysplastic nevi. , 1985, Annals of internal medicine.

[46]  Richard Durbin,et al.  Sequence analysis Fast and accurate short read alignment with Burrows – Wheeler transform , 2009 .