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PMID: 41751868 已发表 · epublish 英语

Exome-Wide Association Analysis Identifies Rare Germline Susceptibility Variants in Early-Onset Breast Cancer Among Saudi Women.

International journal of molecular sciences ·第 27 卷 ·第 4 期 ·2026-02-11

Bu R, Iqbal K, Parvathareddy SK, Azam S, Qadri Z, Abdul Razzaq EA, Al-Dayel F, Siraj AK, Al-Kuraya KS

摘要

Early-onset breast cancer (EOBC) is disproportionately common in Saudi Arabia, where women present nearly a decade earlier than in Western countries, suggesting unique inherited susceptibility. While BRCA1/2 explain part of the hereditary risk, the contribution of rare coding variants in Arab EOBC remains unclear. Whole-exome sequencing was performed on germline DNA from 102 unrelated Saudi EOBC patients and 1395 cancer-free controls recruited from the same national Saudi cohort. Rare variants were defined by stringent frequency and quality thresholds and classified as rare loss-of-function (RLOF) or rare predicted damaging variants (RPDVs). Gene-level case-control analyses were conducted using burden tests, with exome-wide significance set at p < 2.5 × 10-6. RLOF variants in BRCA1 (6.9% of EOBC vs. 0.14% of controls; OR = 51.3; p < 1.0 × 10-10) and RPDVs in TP53 (4.9% vs. 0.36%; OR = 14.3; p = 5.39 × 10-8) demonstrated strong associations. Sequence Kernel Association Test (SKAT) analysis identified NOTCH4 and OR12D3 and reinforced burden-based significance in GUCY2F, FRMPD3, and SHROOM2. No enriched signaling pathway emerged, indicating heterogeneous rare-variant mechanisms. This first germline exome-wide rare-variant association study in Saudi EOBC identifies substantial enrichment driven by BRCA1, TP53, and additional candidate genes, supporting population-specific genetic risk evaluation and the need for replication in larger Arab cohorts.

关键词
Saudi Arabia breast neoplasms exome sequencing genetic predisposition to disease germ-line mutation young adult
文献信息
期刊
International journal of molecular sciences
期刊简称
Int J Mol Sci
ISSN
1422-0067
发表日期
2026-02-11
语言
英语
国家/地区
Switzerland
NLM ID
101092791
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