Evidence map›Paper›PMID 41855232›Full record

ArticlePloS one2026

Association of NUDT17 rs9286836 and rs2004659 variants with breast cancer risk in Bangladeshi Women.

Md Shajid Hossain Rafi, Md Shalahuddin Millat, Md Abdul Barek, Syed Masudur Rahman Dewan, Mohammad Shahriar, Zabun Nahar, Mohammad Safiqul Islam

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Article in PloS one, 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

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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.

Md Shajid Hossain RafiDepartment of Pharmacy, School of Pharmacy, University of Asia Pacific, Dhaka, Bangladesh.
Md Shalahuddin MillatDepartment of Pharmacy, Faculty of Biological Sciences, Noakhali Science and Technology University, Noakhali, Bangladesh.
Md Abdul BarekDepartment of Pharmacy, Faculty of Biological Sciences, Noakhali Science and Technology University, Noakhali, Bangladesh.
Syed Masudur Rahman DewanDepartment of Pharmacy, School of Life Sciences, United International University, Dhaka, Bangladesh.
Mohammad ShahriarDepartment of Pharmacy, School of Pharmacy, University of Asia Pacific, Dhaka, Bangladesh.
Zabun NaharDepartment of Pharmacy, School of Pharmacy, University of Asia Pacific, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-7034-9529
Mohammad Safiqul IslamDepartment of Pharmacy, Faculty of Biological Sciences, Noakhali Science and Technology University, Noakhali, Bangladesh.ORCID https://orcid.org/0000-0003-4924-5319

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a multifaceted illness impacted by genetic factors as well as environmental influences. While variants in the NUDT17 gene have been associated with cancer biology, their involvement in breast cancer is still inadequately investigated, especially within South Asian populations. This study investigated the association between two NUDT17 polymorphisms, rs9286836 and rs2004659, and breast cancer risk in Bangladeshi women using a case-control design. A total of 240 breast cancer patients and 240 age-, sex-, and BMI-matched healthy controls were enrolled. Genomic DNA was extracted from blood samples, and genotyping was performed using tetra-primer ARMS-PCR for rs9286836 and PCR-RFLP for rs2004659. The statistical methods employed included chi-square tests for genotype distributions and logistic regression to calculate odds ratios (ORs) with 95% confidence intervals (CIs). Genotyping for NUDT17 rs9286836 was successfully completed for all recruited participants. However, for rs2004659, high-quality genotyping data were available for 204 breast cancer cases and 204 controls after quality control procedures. No significant association was observed between rs9286836 and breast cancer risk across the tested genetic models. In contrast, rs2004659 showed a robust protective association with breast cancer, particularly among heterozygous individuals, and this protective effect was consistently observed across the dominant, over-dominant, and allelic models. Haplotype analysis revealed that the AA haplotype was associated with an increased risk of breast cancer, whereas the AG and GA haplotypes were associated with a reduced risk. Expression analysis further demonstrated elevated NUDT17 levels in breast cancer tissues and genotype-dependent expression effects for both variants. These findings suggest a protective role of rs2004659 in breast cancer susceptibility and highlight the potential of NUDT17 polymorphisms as biomarkers in Bangladeshi women.

Indexed as

Breast NeoplasmsGenetic Predisposition to DiseasePolymorphism, Single NucleotidePyrophosphatasesAdultBangladeshCase-Control StudiesFemaleGenetic Association StudiesGenotypeHumansMiddle AgedNudix HydrolasesRisk FactorsNudix HydrolasesPyrophosphatases

Identifiers

PMID41855232
PMCPMC13001948

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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 Socratic graph.