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Genotype data for single nucleotide polymorphism markers in sporadic breast cancer related genes in a Sri Lankan case–control cohort of postmenopausal women
OBJECTIVE: The data presented herein represents the raw genotype data of a recently conducted larger study which investigated the association of single nucleotide polymorphisms (SNPs) in breast cancer related genes with the risk and clinicopathological profiles of sporadic breast cancer among Sri La...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642519/ https://www.ncbi.nlm.nih.gov/pubmed/31324265 http://dx.doi.org/10.1186/s13104-019-4472-0 |
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author | Sirisena, Nirmala Dushyanthi Samaranayake, Nilakshi Dissanayake, Vajira H. W. |
author_facet | Sirisena, Nirmala Dushyanthi Samaranayake, Nilakshi Dissanayake, Vajira H. W. |
author_sort | Sirisena, Nirmala Dushyanthi |
collection | PubMed |
description | OBJECTIVE: The data presented herein represents the raw genotype data of a recently conducted larger study which investigated the association of single nucleotide polymorphisms (SNPs) in breast cancer related genes with the risk and clinicopathological profiles of sporadic breast cancer among Sri Lankan women. A case–control study design was adopted to conduct SNP marker disease association testing in an existing blood resource obtained from a cohort of Sri Lankan postmenopausal women with clinically phenotyped sporadic breast cancer and healthy postmenopausal women. The list of haplotype-tagging SNP markers for genotyping was selected based on information available in the published literature and use of bioinformatics tools and databases. Genotyping of 57 selected SNPs in 36 breast cancer related genes was performed using the iPLEX Sequenom Mass-Array platform. DATA DESCRIPTION: The raw genotype data for the 57 SNPs genotyped in 350 women with breast cancer and 350 healthy women are presented in this article. This data might be relevant to other researchers involved in investigating the role of SNPs in breast cancer related genes with the risk of sporadic breast cancer in South Asian populations. |
format | Online Article Text |
id | pubmed-6642519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66425192019-07-29 Genotype data for single nucleotide polymorphism markers in sporadic breast cancer related genes in a Sri Lankan case–control cohort of postmenopausal women Sirisena, Nirmala Dushyanthi Samaranayake, Nilakshi Dissanayake, Vajira H. W. BMC Res Notes Data Note OBJECTIVE: The data presented herein represents the raw genotype data of a recently conducted larger study which investigated the association of single nucleotide polymorphisms (SNPs) in breast cancer related genes with the risk and clinicopathological profiles of sporadic breast cancer among Sri Lankan women. A case–control study design was adopted to conduct SNP marker disease association testing in an existing blood resource obtained from a cohort of Sri Lankan postmenopausal women with clinically phenotyped sporadic breast cancer and healthy postmenopausal women. The list of haplotype-tagging SNP markers for genotyping was selected based on information available in the published literature and use of bioinformatics tools and databases. Genotyping of 57 selected SNPs in 36 breast cancer related genes was performed using the iPLEX Sequenom Mass-Array platform. DATA DESCRIPTION: The raw genotype data for the 57 SNPs genotyped in 350 women with breast cancer and 350 healthy women are presented in this article. This data might be relevant to other researchers involved in investigating the role of SNPs in breast cancer related genes with the risk of sporadic breast cancer in South Asian populations. BioMed Central 2019-07-19 /pmc/articles/PMC6642519/ /pubmed/31324265 http://dx.doi.org/10.1186/s13104-019-4472-0 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Data Note Sirisena, Nirmala Dushyanthi Samaranayake, Nilakshi Dissanayake, Vajira H. W. Genotype data for single nucleotide polymorphism markers in sporadic breast cancer related genes in a Sri Lankan case–control cohort of postmenopausal women |
title | Genotype data for single nucleotide polymorphism markers in sporadic breast cancer related genes in a Sri Lankan case–control cohort of postmenopausal women |
title_full | Genotype data for single nucleotide polymorphism markers in sporadic breast cancer related genes in a Sri Lankan case–control cohort of postmenopausal women |
title_fullStr | Genotype data for single nucleotide polymorphism markers in sporadic breast cancer related genes in a Sri Lankan case–control cohort of postmenopausal women |
title_full_unstemmed | Genotype data for single nucleotide polymorphism markers in sporadic breast cancer related genes in a Sri Lankan case–control cohort of postmenopausal women |
title_short | Genotype data for single nucleotide polymorphism markers in sporadic breast cancer related genes in a Sri Lankan case–control cohort of postmenopausal women |
title_sort | genotype data for single nucleotide polymorphism markers in sporadic breast cancer related genes in a sri lankan case–control cohort of postmenopausal women |
topic | Data Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642519/ https://www.ncbi.nlm.nih.gov/pubmed/31324265 http://dx.doi.org/10.1186/s13104-019-4472-0 |
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