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      Association between Ancestry-Specific 6q25 Variants and Breast Cancer Subtypes in Peruvian Women

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      1 , 2 , 2 , 2 , 2 , 2 , 2 , 2 , 2 , 2 , 2 , 2 , 2 , 2 , 3 , 3 , 4 , 5 , 6 , 6 , 7 , 7 , 8 , 6 , 3 , 9 , 5 , 10 , 2 , 2 , 11 , 2 , 1 , 12 , * ,
      Cancer Epidemiology, Biomarkers & Prevention
      American Association for Cancer Research

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          Abstract

          Background:

          Breast cancer incidence in the United States is lower in Hispanic/Latina (H/L) compared with African American/Black or Non-Hispanic White women. An Indigenous American breast cancer–protective germline variant (rs140068132) has been reported near the estrogen receptor 1 gene. This study tests the association of rs140068132 and other polymorphisms in the 6q25 region with subtype-specific breast cancer risk in H/Ls of high Indigenous American ancestry.

          Methods:

          Genotypes were obtained for 5,094 Peruvian women with (1,755) and without (3,337) breast cancer. Associations between genotype and overall and subtype-specific risk for the protective variant were tested using logistic regression models and conditional analyses, including other risk-associated polymorphisms in the region.

          Results:

          We replicated the reported association between rs140068132 and breast cancer risk overall [odds ratio (OR), 0.53; 95% confidence interval (CI), 0.47–0.59], as well as the lower odds of developing hormone receptor negative (HR ) versus HR + disease (OR, 0.77; 95% CI, 0.61–0.97). Models, including HER2, showed further heterogeneity with reduced odds for HR +HER2 + (OR, 0.68; 95% CI, 0.51–0.92), HR HER2 + (OR, 0.63; 95% CI, 0.44–0.90) and HR HER2 (OR, 0.77; 95% CI, 0.56–1.05) compared with HR +HER2 . Inclusion of other risk-associated variants did not change these observations.

          Conclusions:

          The rs140068132 polymorphism is associated with decreased risk of breast cancer in Peruvians and is more protective against HR and HER2 + diseases independently of other breast cancer-associated variants in the 6q25 region.

          Impact:

          These results could inform functional analyses to understand the mechanism by which rs140068132-G reduces risk of breast cancer development in a subtype-specific manner. They also illustrate the importance of including diverse individuals in genetic studies.

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          Most cited references48

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          Cancer Statistics, 2021

          Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence. Incidence data (through 2017) were collected by the Surveillance, Epidemiology, and End Results Program; the National Program of Cancer Registries; and the North American Association of Central Cancer Registries. Mortality data (through 2018) were collected by the National Center for Health Statistics. In 2021, 1,898,160 new cancer cases and 608,570 cancer deaths are projected to occur in the United States. After increasing for most of the 20th century, the cancer death rate has fallen continuously from its peak in 1991 through 2018, for a total decline of 31%, because of reductions in smoking and improvements in early detection and treatment. This translates to 3.2 million fewer cancer deaths than would have occurred if peak rates had persisted. Long-term declines in mortality for the 4 leading cancers have halted for prostate cancer and slowed for breast and colorectal cancers, but accelerated for lung cancer, which accounted for almost one-half of the total mortality decline from 2014 to 2018. The pace of the annual decline in lung cancer mortality doubled from 3.1% during 2009 through 2013 to 5.5% during 2014 through 2018 in men, from 1.8% to 4.4% in women, and from 2.4% to 5% overall. This trend coincides with steady declines in incidence (2.2%-2.3%) but rapid gains in survival specifically for nonsmall cell lung cancer (NSCLC). For example, NSCLC 2-year relative survival increased from 34% for persons diagnosed during 2009 through 2010 to 42% during 2015 through 2016, including absolute increases of 5% to 6% for every stage of diagnosis; survival for small cell lung cancer remained at 14% to 15%. Improved treatment accelerated progress against lung cancer and drove a record drop in overall cancer mortality, despite slowing momentum for other common cancers.
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            PLINK: a tool set for whole-genome association and population-based linkage analyses.

            Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to researchers. Many existing genetic-analysis tools are not designed to handle such large data sets in a convenient manner and do not necessarily exploit the new opportunities that whole-genome data bring. To address these issues, we developed PLINK, an open-source C/C++ WGAS tool set. With PLINK, large data sets comprising hundreds of thousands of markers genotyped for thousands of individuals can be rapidly manipulated and analyzed in their entirety. As well as providing tools to make the basic analytic steps computationally efficient, PLINK also supports some novel approaches to whole-genome data that take advantage of whole-genome coverage. We introduce PLINK and describe the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation. In particular, we focus on the estimation and use of identity-by-state and identity-by-descent information in the context of population-based whole-genome studies. This information can be used to detect and correct for population stratification and to identify extended chromosomal segments that are shared identical by descent between very distantly related individuals. Analysis of the patterns of segmental sharing has the potential to map disease loci that contain multiple rare variants in a population-based linkage analysis.
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              A global reference for human genetic variation

              The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized a broad spectrum of genetic variation, in total over 88 million variants (84.7 million single nucleotide polymorphisms (SNPs), 3.6 million short insertions/deletions (indels), and 60,000 structural variants), all phased onto high-quality haplotypes. This resource includes >99% of SNP variants with a frequency of >1% for a variety of ancestries. We describe the distribution of genetic variation across the global sample, and discuss the implications for common disease studies.
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                Author and article information

                Journal
                Cancer Epidemiol Biomarkers Prev
                Cancer Epidemiol Biomarkers Prev
                Cancer Epidemiology, Biomarkers & Prevention
                American Association for Cancer Research
                1055-9965
                1538-7755
                02 August 2022
                02 June 2022
                : 31
                : 8
                : 1602-1609
                Affiliations
                [1 ]Department of Public Health Sciences, University of California Davis, Davis, California.
                [2 ]Instituto Nacional de Enfermedades Neoplasicas, Lima, Peru.
                [3 ]Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California.
                [4 ]Universidad Peruana de Ciencias Aplicadas, Lima, Peru and Asociación Civil Proyectos en Salud (PROESA), Lima, Peru.
                [5 ]Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
                [6 ]Department of Biochemistry, Cancer Biology Division, Ponce Research Institute, Ponce Health Sciences University, Ponce, Puerto Rico.
                [7 ]Helen Diller Comprehensive Cancer Center, University of California San Francisco, San Francisco, California.
                [8 ]Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
                [9 ]Department of Pediatrics and Stanley S. Scott Cancer Center LSUHSC, New Orleans, Louisiana.
                [10 ]Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
                [11 ]Universidad Privada San Juan Bautista, Lima, Peru.
                [12 ]UC Davis Comprehensive Cancer Center, University of California Davis, Davis, California.
                Author notes
                [#]

                T. Vidaurre and L. Fejerman contributed equally as co-senior authors of this article.

                [* ] Corresponding Author: Laura Fejerman, UC Davis Comprehensive Cancer Center, 451 Health Sciences Drive, Davis, CA 95616. Phone: 530-754-1690; E-mail: lfejerman@ 123456ucdavis.edu
                Author information
                https://orcid.org/0000-0003-2040-1760
                https://orcid.org/0000-0001-8406-739X
                https://orcid.org/0000-0002-4234-4448
                https://orcid.org/0000-0003-2952-6068
                https://orcid.org/0000-0003-4935-7927
                https://orcid.org/0000-0002-9806-0989
                https://orcid.org/0000-0002-3415-9701
                https://orcid.org/0000-0002-2747-7381
                https://orcid.org/0000-0002-2657-9853
                https://orcid.org/0000-0002-0351-001X
                https://orcid.org/0000-0003-0354-0523
                https://orcid.org/0000-0002-5154-9621
                https://orcid.org/0000-0002-4507-2775
                https://orcid.org/0000-0002-2324-2884
                https://orcid.org/0000-0002-5961-6761
                https://orcid.org/0000-0001-6477-4660
                https://orcid.org/0000-0002-1408-4474
                https://orcid.org/0000-0002-0855-8936
                https://orcid.org/0000-0003-1995-4560
                https://orcid.org/0000-0003-3179-1151
                Article
                EPI-22-0069
                10.1158/1055-9965.EPI-22-0069
                9662925
                35654312
                57b93b23-460e-422f-a534-7a1274715c5a
                ©2022 The Authors; Published by the American Association for Cancer Research

                This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.

                History
                : 20 January 2022
                : 07 March 2022
                : 23 May 2022
                Page count
                Pages: 8
                Funding
                Funded by: National Cancer Institute (NCI), https://doi.org/10.13039/100000054;
                Award ID: R01CA204797
                Award Recipient :
                Funded by: Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), https://doi.org/10.13039/100009633;
                Award ID: R01-HD-059835
                Award Recipient :
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                Research Articles

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