Literature DB >> 35357426

Defining novel causal SNPs and linked phenotypes at melanoma-associated loci.

Carolina Castaneda-Garcia1, Vivek Iyer2, Jérémie Nsengimana3, Adam Trower4,5, Alastair Droop2, Kevin M Brown6, Jiyeon Choi6, Tongwu Zhang6, Mark Harland4, Julia A Newton-Bishop4, D Timothy Bishop4,5, David J Adams2, Mark M Iles4,5, Carla Daniela Robles-Espinoza1,2.   

Abstract

A number of genomic regions have been associated with melanoma risk through genome-wide association studies; however, the causal variants underlying the majority of these associations remain unknown. Here, we sequenced either the full locus or the functional regions including exons of 19 melanoma-associated loci in 1959 British melanoma cases and 737 controls. Variant filtering followed by Fisher's exact test analyses identified 66 variants associated with melanoma risk. Sequential conditional logistic regression identified the distinct haplotypes on which variants reside, and massively parallel reporter assays provided biological insights into how these variants influence gene function. We performed further analyses to link variants to melanoma risk phenotypes and assessed their association with melanoma-specific survival. Our analyses replicate previously known associations in the melanocortin 1 receptor (MC1R) and tyrosinase (TYR) loci, while identifying novel potentially causal variants at the MTAP/CDKN2A and CASP8 loci. These results improve our understanding of the architecture of melanoma risk and outcome.
© The Author(s) 2022. Published by Oxford University Press.

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Year:  2022        PMID: 35357426      PMCID: PMC9433725          DOI: 10.1093/hmg/ddac074

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   5.121


  48 in total

1.  The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.

Authors:  Aaron McKenna; Matthew Hanna; Eric Banks; Andrey Sivachenko; Kristian Cibulskis; Andrew Kernytsky; Kiran Garimella; David Altshuler; Stacey Gabriel; Mark Daly; Mark A DePristo
Journal:  Genome Res       Date:  2010-07-19       Impact factor: 9.043

2.  LDassoc: an online tool for interactively exploring genome-wide association study results and prioritizing variants for functional investigation.

Authors:  Mitchell J Machiela; Stephen J Chanock
Journal:  Bioinformatics       Date:  2018-03-01       Impact factor: 6.937

3.  Transcriptomic Analysis Reveals Prognostic Molecular Signatures of Stage I Melanoma.

Authors:  Julia Newton-Bishop; Jennifer H Barrett; Jérémie Nsengimana; Rohit Thakur; Jonathan P Laye; Martin Lauss; Joey Mark S Diaz; Sally Jane O'Shea; Joanna Poźniak; Anastasia Filia; Mark Harland; Joanne Gascoyne; Juliette A Randerson-Moor; May Chan; Tracey Mell; Göran Jönsson; D Timothy Bishop
Journal:  Clin Cancer Res       Date:  2019-09-12       Impact factor: 12.531

Review 4.  Architecture of inherited susceptibility to common cancer.

Authors:  Olivia Fletcher; Richard S Houlston
Journal:  Nat Rev Cancer       Date:  2010-05       Impact factor: 60.716

5.  NF-κB Inhibition Suppresses Experimental Melanoma Lung Metastasis.

Authors:  Tomoko Stansel; Samuel A Wickline; Hua Pan
Journal:  J Cancer Sci Clin Ther       Date:  2020-08-14

6.  Assignment of a locus for familial melanoma, MLM, to chromosome 9p13-p22.

Authors:  L A Cannon-Albright; D E Goldgar; L J Meyer; C M Lewis; D E Anderson; J W Fountain; M E Hegi; R W Wiseman; E M Petty; A E Bale
Journal:  Science       Date:  1992-11-13       Impact factor: 47.728

7.  13. Cancers attributable to solar (ultraviolet) radiation exposure in the UK in 2010.

Authors:  D M Parkin; D Mesher; P Sasieni
Journal:  Br J Cancer       Date:  2011-12-06       Impact factor: 7.640

8.  Second-generation PLINK: rising to the challenge of larger and richer datasets.

Authors:  Christopher C Chang; Carson C Chow; Laurent Cam Tellier; Shashaank Vattikuti; Shaun M Purcell; James J Lee
Journal:  Gigascience       Date:  2015-02-25       Impact factor: 6.524

9.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

10.  Cell-type-specific eQTL of primary melanocytes facilitates identification of melanoma susceptibility genes.

Authors:  Tongwu Zhang; Jiyeon Choi; William J Pavan; Kevin M Brown; Michael A Kovacs; Jianxin Shi; Mai Xu; Alisa M Goldstein; Adam J Trower; D Timothy Bishop; Mark M Iles; David L Duffy; Stuart MacGregor; Laufey T Amundadottir; Matthew H Law; Stacie K Loftus
Journal:  Genome Res       Date:  2018-10-17       Impact factor: 9.043

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