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Polymorphisms in transcription factor binding sites and enhancer regions and pancreatic ductal adenocarcinoma risk

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378041%3A_____%2F24%3A00582779" target="_blank" >RIV/68378041:_____/24:00582779 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11110/24:10476157 RIV/00216208:11120/24:43926624 RIV/00216208:11140/24:10476157 RIV/61989592:15110/24:73628355 RIV/00064173:_____/24:43926624

  • Result on the web

    <a href="https://humgenomics.biomedcentral.com/articles/10.1186/s40246-024-00576-x" target="_blank" >https://humgenomics.biomedcentral.com/articles/10.1186/s40246-024-00576-x</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1186/s40246-024-00576-x" target="_blank" >10.1186/s40246-024-00576-x</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Polymorphisms in transcription factor binding sites and enhancer regions and pancreatic ductal adenocarcinoma risk

  • Original language description

    Genome-wide association studies (GWAS) are a powerful tool for detecting variants associated with complex traits and can help risk stratification and prevention strategies against pancreatic ductal adenocarcinoma (PDAC). However, the strict significance threshold commonly used makes it likely that many true risk loci are missed. Functional annotation of GWAS polymorphisms is a proven strategy to identify additional risk loci. We aimed to investigate single-nucleotide polymorphisms (SNP) in regulatory regions [transcription factor binding sites (TFBSs) and enhancers] that could change the expression profile of multiple genes they act upon and thereby modify PDAC risk. We analyzed a total of 12,636 PDAC cases and 43,443 controls from PanScan/PanC4 and the East Asian GWAS (discovery populations), and the PANDoRA consortium (replication population). We identified four associations that reached study-wide statistical significance in the overall meta-analysis: rs2472632(A) (enhancer variant, OR 1.10, 95%CI 1.06,1.13, p = 5.5 x 10-8), rs17358295(G) (enhancer variant, OR 1.16, 95%CI 1.10,1.22, p = 6.1 x 10-7), rs2232079(T) (TFBS variant, OR 0.88, 95%CI 0.83,0.93, p = 6.4 x 10-6) and rs10025845(A) (TFBS variant, OR 1.88, 95%CI 1.50,1.12, p = 1.32 x 10-5). The SNP with the most significant association, rs2472632, is located in an enhancer predicted to target the coiled-coil domain containing 34 oncogene. Our results provide new insights into genetic risk factors for PDAC by a focused analysis of polymorphisms in regulatory regions and demonstrating the usefulness of functional prioritization to identify loci associated with PDAC risk.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30204 - Oncology

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Human Genomics

  • ISSN

    1473-9542

  • e-ISSN

    1479-7364

  • Volume of the periodical

    18

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    12

  • Pages from-to

    12

  • UT code for WoS article

    001157071900001

  • EID of the result in the Scopus database

    2-s2.0-85183753590