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This extended statistical meta-analysis integrates 58 SNP-cancer studies (23,494 cases/29,592 controls for rs1805794; 5,325 cases/11,149 controls for rs709816). Findings show no overall association in each ethnic population, while cancer-type subgroup analyses identify specific risks. Bioinformatics support includes TCGA expression, network, and pathway enrichment. Conclusions suggest exploratory biological relevance rather than established clinical utility. Systematic review registration: CRD420251034651.",{"@graph":69,"@context":125},[70,84,104],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/investigating-the-association-of-nbn-gene-polymorphisms-with-multiple-cancers-through-statistical-meta-analysis-and-bioinformatics-insights/352531/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":98,"encodingFormat":97,"isAccessibleForFree":99,"interactionStatistic":100},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/investigating-the-association-of-nbn-gene-polymorphisms-with-multiple-cancers-through-statistical-meta-analysis-and-bioinformatics-insights/352531.png","ImageObject",300,407,{"name":92,"@type":93},"Aurelia","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-09-22",true,{"@type":101,"interactionType":102,"userInteractionCount":4},"InteractionCounter",{"@type":103},"ViewAction",{"@type":105,"mainEntity":106},"FAQPage",[107,113,117,121],{"name":108,"@type":109,"acceptedAnswer":110},"What is the purpose of this study on NBN gene polymorphisms and cancer?","Question",{"text":111,"@type":112},"To improve reliability on the association between NBN polymorphisms and multiple cancers using an extended statistical meta-analysis and complementary bioinformatics analyses.","Answer",{"name":114,"@type":109,"acceptedAnswer":115},"Which NBN SNPs were analyzed in the meta-analysis?",{"text":116,"@type":112},"The study analyzed rs1805794 and rs709816, assessing their association with multiple cancer risks across included case-control genetic studies.",{"name":118,"@type":109,"acceptedAnswer":119},"Did the authors find an overall association between these SNPs and cancer risk?",{"text":120,"@type":112},"No. The meta-analysis reported that the C allele of rs1805794 and rs709816 polymorphisms was not significantly associated with overall cancer risk in each ethnic population.",{"name":122,"@type":109,"acceptedAnswer":123},"What did subgroup and bioinformatics analyses suggest?",{"text":124,"@type":112},"Subgroup analyses indicated specific associations for rs1805794 with bladder cancer and nasopharyngeal cancer, and for rs709816 with breast cancer. Bioinformatics results (TCGA expression, network, gene ontology, and pathway enrichment) supported possible direct or indirect links to cancer susceptibility.","https://schema.org",{"og:url":83,"og:type":127,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":129,"canonical":83},"index,follow",{"doc_id":131,"site_id":62},352531,1790100125,{"code":4,"msg":5,"data":134},{"doc_id":131,"user_id":135,"nickname":92,"user_avatar":136,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":137,"file_id":138,"file_url":139,"file_type":140,"file_size":141,"view_count":4,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":142,"language":143,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":144,"faqs":145,"seo_title":146,"seo_description":67,"update_tm":132,"read_time":147},1099514068365,"https://ap-avatar.wpscdn.com/avatar/10000253d8d9f28188e?_k=1776742907772140068","Biology Methods and Protocols, 2026, 11(1), bpag012 [https://doi.org/10.1093/biomethods/bpag012](https://doi.org/10.1093/biomethods/bpag012)  \nPublished: 27 February 2026  \nReview  \nInvestigating the association of NBN gene polymorphisms with multiple cancers through statistical meta-analysis  \nand bioinformatics insights  \nMd. Harun-Or-Roshid 1,‡, Md. Selim Reza1,2,‡, Md. Ariful Islam 1, Md. Humaun Farid1, Md. Mostafizur Rahman1,  \nSaroje Kumar Sarkar1, and Md. Nurul Haque Mollah1, *,   \n1Laboratory of Bioinformatics, Department of Statistics, University of Rajshahi, Rajshahi 6205, Bangladesh 2Division of Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA 70112, United States  \n*Corresponding author. Laboratory of Bioinformatics, Department of Statistics, University of Rajshahi, Rajshahi 6205, [Bangladesh. E-mail: mollah.stat.bio@ru.ac.bd](Bangladesh. E-mail: mollah.stat.bio@ru.ac.bd)  \n‡Equal contribution.  \n\n| Abstract\u003Cbr>Several individual genetic association studies, including meta-analyses, have investigated the association of two SNPs (rs1805794 andrs709816) of NBN gene with multiple cancer risks. However, their findings were inconsistent, making it challenging to use NBN gene as a diagnostic and prognostic biomarker. This study aims to provide an improved reliability on the association between NBN polymorphisms and multiple cancers through the extended statistical meta-analysis. We collected a comprehensive dataset comprising 58 individual SNP-cancer association studies, including 23 494 cases and 29 592 controls for rs1805794, and 5325 cases and 11 149 controls for rs709816 polymorphisms, using a systematic search strategy across online databases. The collected data were analyzed using statistical meta-analysis to investigate the association between two SNPs and cancers. This meta-analysis revealed that the C allele ofrs1805794 and rs709816 polymorphisms is not significantly associated with overall cancer risk in each ethnic population. However, subgroup analysis based on cancer types showed that rs1805794 is significantly associated with the increased risk of bladder cancer under three, and nasopharyngeal cancer (subtype of head and neck cancer) under four genetic models. Also, it was seen that rs1805794 is partially associated with brain cancer risk under allelic model, while rs709816 is significantly linked to breast cancer. Notably, rs1805794 exhibited a trend toward increased cancer risk, while rs709816 showed a protective tendency. Besides, bioinformatics analysis results also supported the meta-analysis results from different viewpoints including expression analysis of NBN gene from TCGA database, disease-gene and gene-regulator network analysis, and gene ontology and pathway enrichment analysis, and indicate the NBN gene directly/indirectly associated with cancer risks. Meta-analysis results, supported by bioinformatics analyses, indicate potential associations between NBN gene variants and susceptibility to bladder, brain, breast, and nasopharyngeal cancers. However, these findings are exploratory and indicate biological relevance rather than established diagnostic or prognostic utility. Systematic review registration: [https://www.crd.york.ac.uk/prospero/](https://www.crd.york.ac.uk/prospero/); identifier: CRD420251034651.\u003Cbr>Keywords NBN gene polymorphisms, rs1805794 and rs709816, multiple cancers, association studies, statistical meta-analysis, bioinformatics analysis |  |\n| --- | --- |\n| Introduction\u003Cbr>Cancer is the second leading cause of death, accounting for 􀀘 10 million deaths annually [1] . It develops due to the accumulation of genetic mutations that disrupt normal cellular functions. The NBN (Nibrin) gene, also known by aliases such as Nijmegen breakage | syndrome 1 (NBS1), p95 protein of the MRE11/RAD50 complex, ATV, plays a crucial role in DNA repair and maintaining genome stability [2]. At least 10 mutations in the NBN gene have been linked to NBS, a con","cbCaiu6RU7LIDflN","https://ap.wps.com/l/cbCaiu6RU7LIDflN","pdf",3311210,18,"English","# Abstract\n# Introduction","[{\"question\":\"What is the purpose of this study on NBN gene polymorphisms and cancer?\",\"answer\":\"To improve reliability on the association between NBN polymorphisms and multiple cancers using an extended statistical meta-analysis and complementary bioinformatics analyses.\"},{\"question\":\"Which NBN SNPs were analyzed in the meta-analysis?\",\"answer\":\"The study analyzed rs1805794 and rs709816, assessing their association with multiple cancer risks across included case-control genetic studies.\"},{\"question\":\"Did the authors find an overall association between these SNPs and cancer risk?\",\"answer\":\"No. The meta-analysis reported that the C allele of rs1805794 and rs709816 polymorphisms was not significantly associated with overall cancer risk in each ethnic population.\"},{\"question\":\"What did subgroup and bioinformatics analyses suggest?\",\"answer\":\"Subgroup analyses indicated specific associations for rs1805794 with bladder cancer and nasopharyngeal cancer, and for rs709816 with breast cancer. Bioinformatics results (TCGA expression, network, gene ontology, and pathway enrichment) supported possible direct or indirect links to cancer susceptibility.\"}]","Investigating the association of NBN gene polymorphisms with multiple cancers through statistical meta-analysis and bioinformatics insights | PDF",45]