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Defining novel causal SNPs and linked phenotypes at melanoma-associated loci
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-as...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433725/ https://www.ncbi.nlm.nih.gov/pubmed/35357426 http://dx.doi.org/10.1093/hmg/ddac074 |
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author | Castaneda-Garcia, Carolina Iyer, Vivek Nsengimana, Jérémie Trower, Adam Droop, Alastair Brown, Kevin M Choi, Jiyeon Zhang, Tongwu Harland, Mark Newton-Bishop, Julia A Bishop, D Timothy Adams, David J Iles, Mark M Robles-Espinoza, Carla Daniela |
author_facet | Castaneda-Garcia, Carolina Iyer, Vivek Nsengimana, Jérémie Trower, Adam Droop, Alastair Brown, Kevin M Choi, Jiyeon Zhang, Tongwu Harland, Mark Newton-Bishop, Julia A Bishop, D Timothy Adams, David J Iles, Mark M Robles-Espinoza, Carla Daniela |
author_sort | Castaneda-Garcia, Carolina |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9433725 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-94337252022-09-01 Defining novel causal SNPs and linked phenotypes at melanoma-associated loci Castaneda-Garcia, Carolina Iyer, Vivek Nsengimana, Jérémie Trower, Adam Droop, Alastair Brown, Kevin M Choi, Jiyeon Zhang, Tongwu Harland, Mark Newton-Bishop, Julia A Bishop, D Timothy Adams, David J Iles, Mark M Robles-Espinoza, Carla Daniela Hum Mol Genet Original Article 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. Oxford University Press 2022-03-31 /pmc/articles/PMC9433725/ /pubmed/35357426 http://dx.doi.org/10.1093/hmg/ddac074 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Castaneda-Garcia, Carolina Iyer, Vivek Nsengimana, Jérémie Trower, Adam Droop, Alastair Brown, Kevin M Choi, Jiyeon Zhang, Tongwu Harland, Mark Newton-Bishop, Julia A Bishop, D Timothy Adams, David J Iles, Mark M Robles-Espinoza, Carla Daniela Defining novel causal SNPs and linked phenotypes at melanoma-associated loci |
title | Defining novel causal SNPs and linked phenotypes at melanoma-associated loci |
title_full | Defining novel causal SNPs and linked phenotypes at melanoma-associated loci |
title_fullStr | Defining novel causal SNPs and linked phenotypes at melanoma-associated loci |
title_full_unstemmed | Defining novel causal SNPs and linked phenotypes at melanoma-associated loci |
title_short | Defining novel causal SNPs and linked phenotypes at melanoma-associated loci |
title_sort | defining novel causal snps and linked phenotypes at melanoma-associated loci |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433725/ https://www.ncbi.nlm.nih.gov/pubmed/35357426 http://dx.doi.org/10.1093/hmg/ddac074 |
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