Evidence map›Paper›PMID 41821042›Full record

SynthesisJournal of translational medicine2026

Global prevalence and ethnic variation of pathogenic BRCA1/2 variants in breast cancer: a systematic review and meta-analysis.

Najeeb Ullah Khan, Huijun Lei, Jinzhen Fu, Ruijiao Lei, Xukai Chen, Sana S Alqarni, Tianhui Chen

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Najeeb Ullah Khan *Institute of Biotechnology and Genetic Engineering, The University of Agriculture Peshawar, Peshawar, 25130, Pakistan.
Huijun Lei *Department of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou, 310022, China.
Jinzhen Fu *Department of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou, 310022, China.
Ruijiao LeiDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou, 310022, China.
Xukai ChenDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou, 310022, China.
Sana S AlqarniDepartment of Clinical Laboratory Science, College of Applied Medical Science, King Saud University, Riyadh, 11421, Saudi Arabia.
Tianhui ChenDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou, 310022, China. chenth@zjcc.org.cn.ORCID 0000-0003-4677-0361

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe breast cancer (BC) susceptibility genes 1 (BRCA1) and BC susceptibility genes 2 (BRCA2) are critical genes associated with hereditary breast cancer, and their mutation prevalence might greatly vary across different ethnic populations. This systematic review and meta-analysis evaluated global ethnic variation in BRCA1/2 mutation prevalence among breast cancer (BC) patients.

methodsWe searched five databases for studies published between 2015 and 2025 that reported BRCA1/2 mutations in BC patients across various ethnic groups. 45 studies met the inclusion criteria, comprising about 44,000 BC patients. Data were stratified into two categories: (1) the frequency of all reported variants (including high-frequency polymorphisms) to assess global reporting patterns, and (2) the estimated clinical prevalence of confirmed Pathogenic and Likely Pathogenic (PLP) variants (excluding benign polymorphisms) for cancer risk assessment in broad ethnic categories (Asian, Chinese, Black/African descent, Hispanic/Latino, Middle Eastern/North African, European, Ashkenazi Jewish, and others).

resultsThe prevalence of BRCA1/2 mutations in BC patients displayed substantial global variability. Heterogeneity was high (I² >95%, p < 0.001), reflecting diverse study populations and designs. The frequency of all reported variants varied substantially, reaching up to 17% in specific subgroups due to the inclusion of common polymorphisms. However, after strict filtering, the clinical prevalence of PLP variants ranged from < 1% to 5% in most ethnic groups, aligning with expected population risk.

conclusionEthnicity significantly influences BRCA1/2 mutation distribution among BC patients globally. These findings underscore the importance of population-tailored genetic testing approaches and the necessity of including underrepresented groups in genetic research to enhance risk assessment and personalized cancer care.

Indexed as

BRCA1 ProteinBRCA2 ProteinBreast NeoplasmsEthnicityGenetic Predisposition to DiseaseFemaleHumansMutationPrevalenceBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanBRCA1/2 mutationBreast cancerEthnicityGlobal populationPathogenicSingle nucleotide polymorphisms

Identifiers

PMID41821042
PMCPMC13097826

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.