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巴西 Sangradouro 保留地的 Xavante 印第安人中乳腺癌的遗传决定因素和缺失。

Genetic determinants and absence of breast cancer in Xavante Indians in Sangradouro Reserve, Brazil.

机构信息

Biostatistics and Bioinformatics Facility, Fox Chase Cancer Center, Philadelphia, PA, USA.

The Irma H Russo, MD-Breast Cancer Research Laboratory, Fox Chase Cancer Center, Philadelphia, PA, USA.

出版信息

Sci Rep. 2023 Jan 26;13(1):1452. doi: 10.1038/s41598-023-28461-y.

DOI:10.1038/s41598-023-28461-y
PMID:36702877
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9879933/
Abstract

Genetic compositions of distinct human populations are different. How genomic variants influence many common and rare genetic diseases is always of great medical and anthropological interest, and understanding of genetic architectures of population groups in relation to diseases can advance our knowledge of medicine. Here, we have studied the genomic architecture of a group of Xavante Indians, an indigenous population in Brazil, and compared them with normal populations from the 1000 Genomes Projects. Principal component analysis (PCA) indicates that the Xavante Indians are genetically distinctive when compared to other ethnic groups. No incidence of breast cancer cases has ever been reported in the population, and polygenic risk analysis indicates extremely low breast cancer risk in this population when compared with germline TCGA (The Cancer Genome Atlas) breast cancer normal control samples. Low germinal mutation burden among this population is also observed. Our findings will help to deepen the understanding of breast cancer and might also provide new approaches to study the disease.

摘要

不同人群的遗传组成存在差异。基因组变异如何影响许多常见和罕见的遗传疾病,一直是医学和人类学非常关注的问题,了解与疾病相关的人群的遗传结构可以增进我们对医学的认识。在这里,我们研究了巴西一个印第安人部落——沙万特印第安人的基因组结构,并将其与 1000 基因组计划的正常人群进行了比较。主成分分析(PCA)表明,与其他族群相比,沙万特印第安人在遗传上具有独特性。该人群从未报告过乳腺癌病例,多基因风险分析表明,与肿瘤基因组图谱(TCGA)乳腺癌正常对照样本相比,该人群的乳腺癌风险极低。在该人群中也观察到低的种系突变负担。我们的发现将有助于加深对乳腺癌的认识,也可能为研究该疾病提供新的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fe9/9879933/dac5a1124eff/41598_2023_28461_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fe9/9879933/5e487b3b6f2b/41598_2023_28461_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fe9/9879933/739172e4160a/41598_2023_28461_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fe9/9879933/1de158e3745b/41598_2023_28461_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fe9/9879933/dac5a1124eff/41598_2023_28461_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fe9/9879933/5e487b3b6f2b/41598_2023_28461_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fe9/9879933/739172e4160a/41598_2023_28461_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fe9/9879933/1de158e3745b/41598_2023_28461_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fe9/9879933/dac5a1124eff/41598_2023_28461_Fig4_HTML.jpg

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Breast Cancer Res Treat. 2021 Jul;188(1):295-305. doi: 10.1007/s10549-021-06159-x. Epub 2021 May 3.
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The feasibility of smartphone based retinal photography for diabetic retinopathy screening among Brazilian Xavante Indians.基于智能手机的视网膜摄影在巴西 Xavante 印第安人中进行糖尿病视网膜病变筛查的可行性。
Diabetes Res Clin Pract. 2020 Oct;168:108380. doi: 10.1016/j.diabres.2020.108380. Epub 2020 Aug 21.
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A compendium of mutational cancer driver genes.
用于 SEER 乳腺癌分类的集成机器学习框架
Sci Rep. 2023 Apr 1;13(1):5362. doi: 10.1038/s41598-023-32029-1.
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Nat Rev Cancer. 2020 Oct;20(10):555-572. doi: 10.1038/s41568-020-0290-x. Epub 2020 Aug 10.
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Tutorial: a guide to performing polygenic risk score analyses.教程:多基因风险评分分析操作指南。
Nat Protoc. 2020 Sep;15(9):2759-2772. doi: 10.1038/s41596-020-0353-1. Epub 2020 Jul 24.
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A personally guided tour on some of our data with the Ames assay-A tribute to Professor Bruce Ames.一次由专人带领参观我们一些与艾姆斯试验相关的数据之旅——向布鲁斯·艾姆斯教授致敬。
Mutat Res Genet Toxicol Environ Mutagen. 2019 Oct;846:503094. doi: 10.1016/j.mrgentox.2019.503094. Epub 2019 Sep 9.
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The International Genome Sample Resource (IGSR) collection of open human genomic variation resources.国际基因组样本资源(IGSR)汇集了开放的人类基因组变异资源。
Nucleic Acids Res. 2020 Jan 8;48(D1):D941-D947. doi: 10.1093/nar/gkz836.
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Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes.多基因风险评分在乳腺癌及乳腺癌亚型预测中的应用。
Am J Hum Genet. 2019 Jan 3;104(1):21-34. doi: 10.1016/j.ajhg.2018.11.002. Epub 2018 Dec 13.
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The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019.NHGRI-EBI GWAS Catalog 于 2019 年发布的已发表全基因组关联研究、靶向基因芯片和汇总统计数据
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