Understanding the genetic epidemiology of hereditary breast cancer in India using whole genome data from 1029 healthy individuals.

IF 2.2 4区 医学 Q3 ONCOLOGY
Cancer Causes & Control Pub Date : 2025-07-01 Epub Date: 2025-03-01 DOI:10.1007/s10552-025-01974-9
Aastha Vatsyayan, Prerika Mathur, Rahul C Bhoyar, Mohamed Imran, Vigneshwar Senthivel, Mohit Kumar Divakar, Anushree Mishra, Bani Jolly, Sridhar Sivasubbu, Vinod Scaria
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引用次数: 0

Abstract

Breast cancer is the most highly reported cancer in India. Genetic testing could help tackle the increasing cancer burden by enabling carriers obtain early diagnosis through increased surveillance, and help guide treatment. However, accurate interpretation of variant pathogenicity must be established in a population-specific manner to ensure effective use of genetic testing. Here we query IndiGen data obtained from sequencing 1029 Indian individuals, and perform variant classification of all reported BRCA variants using gold-standard ACMG & AMP guidelines to establish disease epidemiology. To address the high number of VUS variants thus obtained, we further utilize the brca-NOVUS ML tool to obtain pathogenicity predictions in a manner close to ACMG guidelines at scale. Through the manual application of ACMG & AMP guidelines, we determined the genetic prevalence to be the following: 1 in 342 carriers of BRCA1, and 1 in 256 carriers of BRCA2 pathogenic/likely pathogenic variants bear a significant lifetime risk of developing breast / ovarian cancer in India. The high population prevalence and unique variant landscape emphasizes a need for population-scale studies of causative variants to enable effective screening. We advise cautious clinical interpretation, given incomplete penetrance and other complex factors that result in cancer disease. To the best of our knowledge, this is the first and most comprehensive population-scale genetic epidemiological study of BRCA-linked breast cancer variants reported from India.

利用1029名健康个体的全基因组数据了解印度遗传性乳腺癌的遗传流行病学。
乳腺癌是印度发病率最高的癌症。基因检测可以使携带者通过加强监测获得早期诊断,从而帮助解决日益增加的癌症负担,并帮助指导治疗。然而,必须以特定人群的方式确定变异致病性的准确解释,以确保基因检测的有效使用。在这里,我们查询了从1029个印度个体测序中获得的indien数据,并使用金标准ACMG和AMP指南对所有报告的BRCA变异进行变异分类,以建立疾病流行病学。为了解决由此获得的大量VUS变异,我们进一步利用brca-NOVUS ML工具以接近ACMG指南的方式获得大规模的致病性预测。通过手动应用ACMG和AMP指南,我们确定遗传患病率如下:在印度,1 / 342 BRCA1携带者和1 / 256 BRCA2致病/可能致病变异携带者具有显著的终生患乳腺癌/卵巢癌风险。高人群患病率和独特的变异景观强调需要对致病变异进行人群规模的研究,以实现有效的筛查。鉴于不完全外显率和其他导致癌症疾病的复杂因素,我们建议谨慎的临床解释。据我们所知,这是印度报道的第一个也是最全面的brca相关乳腺癌变异的人群规模遗传流行病学研究。
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来源期刊
Cancer Causes & Control
Cancer Causes & Control 医学-公共卫生、环境卫生与职业卫生
CiteScore
3.90
自引率
4.30%
发文量
130
审稿时长
6.6 months
期刊介绍: Cancer Causes & Control is an international refereed journal that both reports and stimulates new avenues of investigation into the causes, control, and subsequent prevention of cancer. By drawing together related information published currently in a diverse range of biological and medical journals, it has a multidisciplinary and multinational approach. The scope of the journal includes: variation in cancer distribution within and between populations; factors associated with cancer risk; preventive and therapeutic interventions on a population scale; economic, demographic, and health-policy implications of cancer; and related methodological issues. The emphasis is on speed of publication. The journal will normally publish within 30 to 60 days of acceptance of manuscripts. Cancer Causes & Control publishes Original Articles, Reviews, Commentaries, Opinions, Short Communications and Letters to the Editor which will have direct relevance to researchers and practitioners working in epidemiology, medical statistics, cancer biology, health education, medical economics and related fields. The journal also contains significant information for government agencies concerned with cancer research, control and policy.
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