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2q35-rs13387042 variant and the risk of breast cancer: a case-control study. Mol Biol Rep 2022; 49:3549-3557. [PMID: 35445312 DOI: 10.1007/s11033-022-07195-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Accepted: 01/25/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Breast Cancer is the most frequent neoplasm diagnosed among women worldwide. Genetic background and lifestyle/environment play a significant role in the disease etiology. According to Genome-wide association studies, some single-nucleotide polymorphisms such as 2q35-rs13387042-(G/A) have been introduced to be associated with breast cancer risk and features. In this study, we aimed to evaluate the association between this variant and the risk of breast cancer in a cohort of Iranian women. METHODS Demographics and clinical information were collected by interview and using patients' medical records, respectively. DNA was extracted from 506 blood samples, including 184 patients and 322 controls, and genotyping was performed using allele specific-PCR. SPSS v16 was used for statistical analysis. RESULT Statistically significant association was observed between AA genotype and disease risk in all patients [padj = 0.048; ORadj = 2.13, 95% CI (1.01-4.50)] and also ER-positive breast cancers [padj = 0.015; ORadj = 2.12, 95% CI (1.16-3.88)]. There was no association between rs13387042 and histopathological characteristics of the disease. Furthermore, overall survival was not statistically associated with genotype and allelic models even after adjustment for stage and receptor status (p > 0.05). CONCLUSION There is a statistically significant association between 2q35-rs13387042 and breast cancer risk. rs13387042-AA genotype might be a risk-conferring factor for breast cancer development in the Iranian population. However, further consideration is suggested to confirm its role in risk assessment and probable association with other genetic markers.
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Galisa SLG, Jacob PL, Farias AAD, Lemes RB, Alves LU, Nóbrega JCL, Zatz M, Santos S, Weller M. Haplotypes of single cancer driver genes and their local ancestry in a highly admixed long-lived population of Northeast Brazil. Genet Mol Biol 2022; 45:e20210172. [PMID: 35112701 PMCID: PMC8811751 DOI: 10.1590/1678-4685-gmb-2021-0172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 11/17/2021] [Indexed: 12/02/2022] Open
Abstract
Admixed populations have not been examined in detail in cancer genetic studies.
Here, we inferred the local ancestry of cancer-associated single nucleotide
polymorphisms (SNPs) and haplotypes of a highly admixed Brazilian population.
SNP array was used to genotype 73 unrelated individuals aged 80-102 years. Local
ancestry inference was performed by merging genotyped regions with phase three
data from the 1000 Genomes Project Consortium using RFmix. The average ancestry
tract length was 9.12-81.71 megabases. Strong linkage disequilibrium was
detected in 48 haplotypes containing 35 SNPs in 10 cancer driver genes. All
together, 19 risk and eight protective alleles were identified in 23 out of 48
haplotypes. Homozygous individuals were mainly of European ancestry, whereas
heterozygotes had at least one Native American and one African ancestry tract.
Native-American ancestry for homozygous individuals with risk alleles for
HNF1B, CDH1, and BRCA1 was inferred for
the first time. Results indicated that analysis of SNP polymorphism in the
present admixed population has a high potential to identify new
ancestry-associated alleles and haplotypes that modify cancer susceptibility
differentially in distinct human populations. Future case-control studies with
populations with a complex history of admixture could help elucidate
ancestry-associated biological differences in cancer incidence and therapeutic
outcomes.
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Affiliation(s)
- Steffany Larissa Galdino Galisa
- Universidade Estadual da Paraíba (UEPB), Núcleo de Estudos em Genética e Educação, Programa de Pós-Graduação em Saúde Pública, Campina Grande, PB, Brazil
| | - Priscila Lima Jacob
- Universidade Estadual da Paraíba (UEPB), Núcleo de Estudos em Genética e Educação, Programa de Pós-Graduação em Saúde Pública, Campina Grande, PB, Brazil
| | - Allysson Allan de Farias
- Universidade Estadual da Paraíba (UEPB), Núcleo de Estudos em Genética e Educação, Programa de Pós-Graduação em Saúde Pública, Campina Grande, PB, Brazil.,Universidade de São Paulo (USP), Departamento de Genética e Biologia Evolutiva, São Paulo, SP, Brazil
| | - Renan Barbosa Lemes
- Universidade de São Paulo (USP), Departamento de Genética e Biologia Evolutiva, São Paulo, SP, Brazil
| | - Leandro Ucela Alves
- Universidade Estadual da Paraíba (UEPB), Núcleo de Estudos em Genética e Educação, Programa de Pós-Graduação em Saúde Pública, Campina Grande, PB, Brazil.,Universidade de São Paulo (USP), Departamento de Genética e Biologia Evolutiva, São Paulo, SP, Brazil
| | - Júlia Cristina Leite Nóbrega
- Universidade Estadual da Paraíba (UEPB), Núcleo de Estudos em Genética e Educação, Programa de Pós-Graduação em Saúde Pública, Campina Grande, PB, Brazil
| | - Mayana Zatz
- Universidade de São Paulo (USP), Departamento de Genética e Biologia Evolutiva, São Paulo, SP, Brazil
| | - Silvana Santos
- Universidade Estadual da Paraíba (UEPB), Núcleo de Estudos em Genética e Educação, Programa de Pós-Graduação em Saúde Pública, Campina Grande, PB, Brazil.,Universidade Estadual da Paraíba (UEPB), Departamento de Biologia, Campina Grande, PB, Brazil
| | - Mathias Weller
- Universidade Estadual da Paraíba (UEPB), Núcleo de Estudos em Genética e Educação, Programa de Pós-Graduação em Saúde Pública, Campina Grande, PB, Brazil.,Universidade Estadual da Paraíba (UEPB), Departamento de Biologia, Campina Grande, PB, Brazil
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