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This study uses GWAS data and bioinformatics to test shared genetic associations across multiple cancer types. Using 1000 Genomes phase 3 linkage disequilibrium, haplotype block analysis, functional SNP evaluation, and TCGA gene-expression validation, it identifies cross-cancer variants, haplotypes, and regulatory miRNA interaction evidence.",{"@graph":69,"@context":123},[70,84,106],{"@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/common-and-novel-haplotype-structures-between-different-types-of-cancer/332163/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/common-and-novel-haplotype-structures-between-different-types-of-cancer/332163.png","ImageObject",300,407,{"name":92,"@type":93},"Violet","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-23","2026-09-21",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",12,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What is the main goal of this study?","Question",{"text":113,"@type":114},"To investigate shared genetic associations between different cancer types using GWAS data and bioinformatics approaches.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How were common variants and haplotypes identified across cancers?",{"text":118,"@type":114},"By using GWAS significant variants, then intersecting them with 1000 Genomes phase 3 linkage disequilibrium data to define common LD variants and haplotype blocks.",{"name":120,"@type":111,"acceptedAnswer":121},"What follow-up analyses were performed after haplotype discovery?",{"text":122,"@type":114},"Functional SNP analyses and TCGA gene-expression analyses were used to support the biological relevance of the identified variants and haplotype structures.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},332163,1790194138,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":44,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145,"preview_page_count":4},4398048950312,"https://ap-avatar.wpscdn.com/avatar/400002538284de19e3c?_k=1778320343897328908","DOI: 10.1002/cnr2.2107  \nO R IG INA L ARTI CLE  \nCommon and novel haplotype structures between different types of cancer  \nMorteza Gholami 1,2   \n1Department of Paramedicine, Amol School of Paramedical Sciences, Mazandaran University of Medical Sciences, Sari, Iran  \n2Metabolic Disorders Research Center, Endocrinology and Metabolism MolecularCellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran  \nCorrespondence  \nMorteza Gholami, Mazandaran University of Medical Sciences, Sari 48157-33971, Iran. Email: [gholamim@razi.tums.ac.ir](gholamim@razi.tums.ac.ir); [biologygholami@gmail.com](biologygholami@gmail.com)  \nAbstract  \nBackground: Background: Genome-wide association studies (GWAS) have identified hundreds of genetic variants associated with cancer risk. GWAS data are important for cancer prevention and understanding the underlying mechanisms of cancer.  \nAims: This study aimed to investigate the genetic association between different types of cancer using GWAS data and a bioinformatics approach.  \nMethods and results: The significant GWAS variants associated with more than one cancer type were identified. Common linkage disequilibrium (LD) variants between different types of cancer were identified by 1000 genomes phase 3 LD data. Haplotype blocks were identified by analyzing 1000 Genomes phase 3 genotyping data in the GWAS populations. Subsequent analyses included functional SNP analyses and TCGA gene expression. The results associated with significant GWAS variants (P\u003C5E- 8) showed the following haplotype associations in European population: GT rs4808075-rs8170 haplotype on BABAM1 with breast and ovarian cancers, GC rs16857609-rs11693806 haplotype on DIRC3 with breast and thyroid cancers, GCGrs380286-rs401681-rs31487 haplotype on CLPTM1L with skin and lung cancers, GGG rs4430796-rs11651052-rs11263763 haplotype on HNF1B with prostate and endometrial cancers, and GT rs10505477-rs6983267 haplotype on CASC8 associated with colorectal and prostate cancers. All these genes had significantly different expressions in tumor tissues (P\u003C1E-3) . In addition, the rs11693806 variant is located in the hsa-miR-873-5p binding site and has an enhancing effect on the hsa-miR- 873-5p:DIRC3 interaction.  \nConclusion: These novel haplotype structures and miRNA:lncRNA interactions are important for understanding the common genetic link between cancers. These results can potentially be used in genetic panels.  \nKEYWOR DS  \nexpression, genome-wide association study, haplotype, lncRNA, variant  \nThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.  \n© 2024 The Author(s) . Cancer Reports published by Wiley Periodicals LLC.  \nCancer Reports. 2024;7:e2107 .  \n[https://doi.org/10.1002/cnr2.2107](https://doi.org/10.1002/cnr2.2107)  \n[wileyonlinelibrary.com/journal/cnr2](wileyonlinelibrary.com/journal/cnr2)  \n1 of 9  \n2 of 9  \nGHOLAMI  \n1 | INTRODUCTION  \nBased on cancer statistics, 2022 cancer deaths and overall incidence have been averted since 1991, but it is still the second leading world cause of death in the world after heart disease.1 The decrease in cancer mortality is associated with reduced smoking, cancer risk factors, and progress in screening tests, diagnosis, and treatment.1,2 However, the incidence of cancer worldwide is expected to increase in the coming decades because of the influence of demographic factors such as population growth and aging, and is predicted to double by 2020– 2070.3 There are more than 200 types of cancer and many can be prevented or treated effectively if diagnosed early.4 After the outbreak of corona disease, the diagnosis and treatment of cancer were affected.1  \nAs a multifactorial disease, different risk factors such as environmental factors, age, obesity, or genetics are effective for cancer. Some cancer incidence is related to inherited gen","cbCaipwa1X38eOG3","https://ap.wps.com/l/cbCaipwa1X38eOG3","pdf",8741492,"English","# Abstract\n## Background\n## Aims\n## Methods and results\n## Conclusion\n# Introduction\n## Cancer burden and risk factors\n## Role of GWAS\n# Methods\n## Study pipeline\n## Common GWAS LD variants","[{\"question\":\"What is the main goal of this study?\",\"answer\":\"To investigate shared genetic associations between different cancer types using GWAS data and bioinformatics approaches.\"},{\"question\":\"How were common variants and haplotypes identified across cancers?\",\"answer\":\"By using GWAS significant variants, then intersecting them with 1000 Genomes phase 3 linkage disequilibrium data to define common LD variants and haplotype blocks.\"},{\"question\":\"What follow-up analyses were performed after haplotype discovery?\",\"answer\":\"Functional SNP analyses and TCGA gene-expression analyses were used to support the biological relevance of the identified variants and haplotype structures.\"}]","Common and novel haplotype structures between different types of cancer | PDF",1789997135,23]