Evidence map›Paper›PMID 41851140›Full record

ArticleNPJ breast cancer2026

Comprehensive genomic analysis of non-BRCA familial breast cancer in an Arab population.

Ehsan Ullah, Hikmat Abdel-Razeq, Sana Bentebbal, Abdullah Shaar, Nehad M Alajez, Mohamad Saad, Julie Decock

Abstract read
In one paragraph

Article in NPJ breast cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ehsan Ullah *Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar.
Hikmat Abdel-Razeq *Department of Internal Medicine, King Hussein Cancer Center, Amman, Jordan.
Sana Bentebbal *Translational Oncology Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar.
Abdullah ShaarQatar Computing Research Institute (QCRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar.
Nehad M AlajezTranslational Oncology Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar.
Mohamad SaadQatar Computing Research Institute (QCRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar. msaad@hbku.edu.qa.
Julie DecockTranslational Oncology Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar. jdecock@hbku.edu.qa.

Funding

Qatar Biomedical Research Institute, Hamad Bin Khalifa University QB18-IDRP-2020Qatar National Research Fund PPM6 #06-0511-230027
6 · The paper itself

Abstract

The Middle East and North African (MENA) region broadly mirrors global cancer trends, with breast cancer remaining the most common cancer among women. However, regional differences in germline BRCA1/2 mutation prevalence suggest the presence of additional genetic risk factors across MENA subgroups. We analyzed whole genome sequencing data from 180 non-BRCA familial breast cancer patients from Jordan and approximately 6000 healthy Arab controls to identify rare germline variants in cancer genes, and to evaluate the performance of existing breast cancer polygenic risk scores (PRS). Three loss-of-function variants in the high-penetrance breast cancer genes TP53 and PALB2 were exclusively observed in patients, including one TP53 variant of uncertain significance. Multiple pathogenic or likely pathogenic variants were detected in moderate-penetrance breast cancer genes, including ATM and BARD1, with ATM showing significant enrichment in gene burden analysis (OR = 14.84). Two rare loss-of-function variants in PASK and CHEK1, lacking clinical significance, were observed in multiple patients but not in controls. PRS assessment identified four PRSs with good discriminatory power (AUC > 0.690), with PGS003738 showing the highest performance (AUC = 0.702, top decile OR = 3.57). These findings highlight the need for population-specific genetic studies to improve breast cancer risk stratification in Arab populations.

Identifiers

PMID41851140
PMCPMC13153266

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Registered trials

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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.