rs11375254 - TPRG1 - TP63

Magnitude 2.2 · 3 studies on file

Reported associations

• Risk loci identification and polygenic risk score in prediction of lung cancer: a large-scale prospective cohort study in Chinese - Unknown journal (n.d.) · Unknown authors · PubMed 31326317

  ABSTRACT: Summary Background Genetic variation plays an important role in the development of non-small cell lung cancer (NSCLC). However, major genetic factors for lung cancer have not been fully identified, especially in Chinese populations, which deters us from using a polygenic risk score (PRS) to identify sub-populations at high-risk of lung cancer for prevention. Methods To systematically identify genetic variants for NSCLC risk, we newly genotyped 19,546 samples and conducted a meta-analysis of genome-wide association studies (GWASs) of 27,120 cases and 27,355 controls. We then built a PRS for Chinese populations and evaluated its utility and effectiveness in predicting high-risk populations of lung cancer in an independent prospective cohort of 95,408 individuals from China Kadoorie

• Comprehensive functional annotation of susceptibility variants identifies genetic heterogeneity between lung adenocarcinoma and squamous cell carcinoma - Unknown journal (n.d.) · Unknown authors · PubMed 32889700

  ABSTRACT: Although genome-wide association studies have identified more than eighty genetic variants associated with non-small cell lung cancer (NSCLC) risk, biological mechanisms of these variants remain largely unknown. By integrating a large-scale genotype data of 15,581 lung adenocarcinoma (AD) cases, 8,350 squamous cell carcinoma (SqCC) cases, and 27,355 controls, as well as multiple transcriptome and epigenomic databases, we conducted histology-specific meta-analyses and functional annotations of both reported and novel susceptibility variants. We identified 3,064 credible risk variants for NSCLC, which were overrepresented in enhancer-like and promoter-like histone modification peaks as well as DNase I hypersensitive sites. Transcription factor enrichment analysis revealed that USF1

• Pan-cancer and cross-population genome-wide association studies dissect shared genetic backgrounds underlying carcinogenesis - Unknown journal (n.d.) · Unknown authors · PubMed 37340002

  ABSTRACT: Integrating genomic data of multiple cancers allows de novo cancer grouping and elucidating the shared genetic basis across cancers. Here, we conduct the pan-cancer and cross-population genome-wide association study (GWAS) meta-analysis and replication studies on 13 cancers including 250,015 East Asians (Biobank Japan) and 377,441 Europeans (UK Biobank). We identify ten cancer risk variants including five pleiotropic associations (e.g., rs2076295 at DSP on 6p24 associated with lung cancer and rs2525548 at TRIM4 on 7q22 nominally associated with six cancers). Quantifying shared heritability among the cancers detects positive genetic correlations between breast and prostate cancer across populations. Common genetic components increase the statistical power, and the large-scale meta

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