Dataset Information

A novel recurrent mutation in MITF predisposes to familial and sporadic melanoma

ABSTRACT:

We conducted whole-genome sequencing of probands from several melanoma families, identifying one individual carrying a novel germline variant (c.G1075A, NM_000248.3; p.E318K, NP_000239.1; rs149617956) in the melanoma lineage-specific oncogene MITF. While the variant cosegregated with melanoma in some, but not all cases in the family, linkage analysis of 31 families subsequently identified to carry the variant generated a LOD score of 2.7 under a dominant model, suggesting E318K as a possible intermediate risk variant. Consistent with this, E318K was significantly associated with melanoma in a large Australian case-control sample, giving an odds ratio (OR) of 2.33, 95% CI 1.21-4.70 (case and control carrier frequency, 0.0165 and 0.0072, respectively; P=0.008). Likewise, it was similarly associated in an independent case-control sample from the United Kingdom (UK P=0.012; combined P=0.0003, OR 2.19, 95% CI 1.41-3.45). In the Australian sample, the variant allele was significantly over-represented in cases with a family history of melanoma (OR 2.95, 95% CI 1.23-6.92), multiple primary melanomas (OR 4.22, 95% CI 1.52-10.91), or both (OR 8.37, 95% CI 2.58-23.80). The variant allele was also associated with increased nevus count (combined P=0.002, OR 2.54, 95% CI 1.42-4.55) and non-blue eye color (combined P=0.008, OR 2.01, 95% CI 1.11-3.81). Functional analysis of E318K showed that MITF encoded by the variant allele had impaired sumoylation and differentially regulated several MITF targets. These data indicate that MITF is a melanoma predisposition gene and highlights the utility of whole-genome sequencing to identify novel rare variants associated with disease susceptibility.

OTHER RELATED OMICS DATASETS IN: PRJNA146135

PROVIDER: phs000419.v1.p1 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Publications

A novel recurrent mutation in MITF predisposes to familial and sporadic melanoma.

Yokoyama Satoru S Woods Susan L SL Boyle Glen M GM Aoude Lauren G LG MacGregor Stuart S Zismann Victoria V Gartside Michael M Cust Anne E AE Haq Rizwan R Harland Mark M Taylor John C JC Duffy David L DL Holohan Kelly K Dutton-Regester Ken K Palmer Jane M JM Bonazzi Vanessa V Stark Mitchell S MS Symmons Judith J Law Matthew H MH Schmidt Christopher C Lanagan Cathy C O'Connor Linda L Holland Elizabeth A EA Schmid Helen H Maskiell Judith A JA Jetann Jodie J Ferguson Megan M Jenkins Mark A MA Kefford Richard F RF Giles Graham G GG Armstrong Bruce K BK Aitken Joanne F JF Hopper John L JL Whiteman David C DC Pharoah Paul D PD Easton Douglas F DF Dunning Alison M AM Newton-Bishop Julia A JA Montgomery Grant W GW Martin Nicholas G NG Mann Graham J GJ Bishop D Timothy DT Tsao Hensin H Trent Jeffrey M JM Fisher David E DE Hayward Nicholas K NK Brown Kevin M KM

Nature 20111113 7375

So far, two genes associated with familial melanoma have been identified, accounting for a minority of genetic risk in families. Mutations in CDKN2A account for approximately 40% of familial cases, and predisposing mutations in CDK4 have been reported in a very small number of melanoma kindreds. Here we report the whole-genome sequencing of probands from several melanoma families, which we performed in order to identify other genes associated with familial melanoma. We identify one individual ca ...[more]

PMID: 22080950

Similar Datasets

Project description:Importance: Autophagy has been identified as a resistance mechanism to BRAF and MEK inhibition in BRAF mutant melanoma. In the BAMM trial, hydroxychloroquine (HCQ) was used to inhibit autophagy in combination with dabrafenib and trametenib in BRAF mutant melanoma patients. Objective: To a) determine safety and maximal tolerated dose (MTD) of hydroxychloroquine when combined with dabrafenib and trametinib and b) determine antitumor activity of the combination. Design: Open label non-randomized phase I/II clinical trial Setting: Prospective therapeutic clinical trial conducted in 4 centers Participants: Unresectable Stage III or Stage IV BRAF mutant melanoma patients Intrevention: HCQ twice daily, dabrafenib 150 mg twice daily and trametinib 2 mg daily (D+T) Main Outcome: Primary outcomes were safety and 1-year progression-free survival (PFS) rate Results: Between December 2014 and January 2020, 50 patients were screened, 38 patients were enrolled and evaluable for toxicity and 34 patients were evaluable for 1-year PFS rate. Patient demographics were: 29% were ECOG PS 1, 47% had elevated LDH, 52% were Stage IV M1c or M1d and 53% had previously received therapy for advanced melanoma. In the phase I trial there was no dose limiting toxicity of HCQ at either 400 (n=3) or 600 (MTD) mg po bid combined with D+T. For the entire study population, the 1-year PFS rate was 41% (95% CI = ), median PFS was 11.9 months (95% CI = ), overall response rate (ORR) was 85% (95% exact CI=64-95%)and complete response rate of 41% (95% exact CI=25-59%). In a prespecificed subgroup analysis in 18 patients with elevated LDH, the ORR was 88% and median PFS was 8 months Conlusion and Relevance: The combination of HCQ, dabrafenib and trametinib was well tolerated and produced a high response rate but did not meet the prespecified criteria for success with respect to the 1-year PFS rate. In patients with elevated LDH , the response rate and PFS were encouraging. A randomized placebo controlled trial of dabrafenib and trametinib with/without HCQ in advanced BRAF mutant melanoma patients with elevated LDH and previously treated with immunotherapy is being conducted through the National Clinical Trial Network.

Project description:Inter-individual DNA methylation variations were frequently hypothesized to alter individual susceptibility to Type 2 Diabetes Mellitus (T2DM). Sequence-influenced methylations were described in T2DM-associated genomic regions, but evidence for direct, sequence-independent association with disease risk is missing. Here we explore disease-contributing DNA methylation through a stepwise study design: first, a pool-based, genome-scale screen among 1,169 case and control individuals revealed an excess of differentially methylated sites in genomic regions that were previously associated with T2DM through genetic studies. Next, in-depth analyses were performed at selected top-ranked regions. A CpG site in the first intron of the FTO gene showed small (3.35%) but significant (p=0.000021) hypomethylation of cases relative to controls. The effect was independent of the sequence polymorphism in the region and persists among individuals carrying the sequence risk alleles. The odds of belonging to the T2DM group increased by 6.1% for every 1% decrease in methylation (OR=1.061, 95% CI: 1.032-1.090), and the sensitivity (AUC = 0.638, 95% CI: 0.586-0.690), (Males=0.675, Females=0.609), was better than of the strongest known sequence variant. Furthermore, a prospective study in an independent population cohort revealed significant hypomethylation of young individuals that later progressed to T2DM, relative to the individuals that stayed healthy. Further genomic analysis revealed co-localization with gene enhancers and with binding sites for methylation-sensitive transcriptional regulators. The data showed that low methylation level at the analyzed sites is an early marker of T2DM, and suggest a novel mechanism by which early-onset, inter-individual methylation variation at isolated non-promoter genomic sites predisposes to T2DM. Five pools of DNA samples consist of 710 T2DM patients and 459 control individuals were analyzed for average methylation levels at 1,461,753 DNA genomic fragments containing 3,359,645 CpG methylation sites using four SNP arrays for each sample, two 'genomic' (before treatment) replicates and two MSRE (treatment with a cocktail of five methyl-sensitive-restriction-enzyme) replicates. The analysis was done using the Affymetrix SNP 6.0 array.

Dataset Information

A novel recurrent mutation in MITF predisposes to familial and sporadic melanoma

Publications

A novel recurrent mutation in MITF predisposes to familial and sporadic melanoma.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets