Abstract 6145: A trans-ethnic meta-analysis identified additional novel genomic loci associated with cervical cancer

Abstract Introduction: Cervical cancer is the second most common cause of cancer-related deaths among women worldwide. Genome-wide association studies (GWAS) have identified genetic variants associated with cervical cancer. However, these discoveries have been limited by the small sample sizes of the individual cohorts. To identify additional novel loci associated with cervical cancer, we performed a trans-ethnic meta-analysis. Methods: GWAS summary data for trans-ethic meta-analysis were identified in women of European ancestry from the UK Biobank, East Asian ancestry from Biobank Japan, and African ancestries from the pan-UK Biobank and Johannesburg cancer study. Meta-analyses were performed using fixed effect inverse variance weighted method implemented in GWAMA. To localize putative genomic loci associated with cervical cancer, we performed fine mapping using the Bayesian approach by calculating the marginal posterior probability of causality for each single nucleotide polymorphisms (SNPs) and 99% credible set size. Results: Our meta-analysis identified four additional novel genomic loci associated with cervical cancer. These loci include: rs147778467 (odds ratio OR = 1. 12, 95% confidence interval CI = 1. 08-1. 16, P-value = 3. 12 x 10-08) in RGS21, rs53150478 (OR =1. 03, 95%CI = 1. 01-1. 05, P-value = 4. 48 x 10-08) in MAN1C1, rs113842373 (OR = 0. 68, 95%CI = 0. 56-0. 81, P-value = 2. 31 x 10-09) in LINCO1850 and rs75372437 (OR = 0. 80, 95%CI = 0. 72-0. 88, P-value = 3. 32 x 10-08) in RNU6-356P. These loci are implicated in carcinogenic pathways. Moreover, our Bayesian fine mapping identified five loci with a marginal posterior probability of causality 1 and reduced the 99% credible set sizes. Conclusion: We identified additional novel loci associated with cervical cancer and our fine mapping identified loci with a high posterior probability of being causal. Citation Format: Abram Bunya Kamiza, Jean-Tristan Brandenburg, Michele Ramsay, Christopher Mathew. A trans-ethnic meta-analysis identified additional novel genomic loci associated with cervical cancer abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts) ; 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84 (6Suppl): Abstract nr 6145.