Novel Genetic Risk Loci for Pancreatic Ductal Adenocarcinoma Identified in a Genome-wide Study of African Ancestry Individuals
Vergara, C.; Ni, Z.; Zhong, J.; McKean, D.; Connelly, K. E.; Antwi, S. O.; Arslan, A. A.; Bracci, P. M.; Du, M.; Gallinger, S.; Genkinger, J.; Haiman, C. A.; Hassan, M.; Hung, R. J.; Huff, C.; Kooperberg, C.; Kastrinos, F.; LeMarchand, L.; Lee, W.; Lynch, S. M.; Moore, S. C.; Oberg, A. L.; Park, M. A.; Permuth, J. B.; Risch, H. A.; Scheet, P.; Schwartz, A.; Shu, X.-O.; Stolzenberg-Solomon, R. Z.; Wolpin, B. M.; Zheng, W.; Albanes, D.; Andreotti, G.; Bamlet, W. R.; Beane-Freeman, L.; Berndt, S. I.; Brennan, P.; Buring, J. E.; Cabrera-Castro, N.; Campa, D.; Canzian, F.; Chanock, S. J.; Chen, Y.;
Show abstract
Pancreatic cancer disproportionately affects Black individuals in the United States, but they have limited representation in genetic studies of pancreatic ductal adenocarcinoma (PDAC). To address this gap, we performed admixture mapping and genome-wide association analysis (GWAS) in genetically inferred African ancestry individuals (1,030 cases and 889 controls). Admixture mapping identified three regions with a significantly higher proportion of African ancestry in cases compared to controls (5q33.3, 10p1, 22q12.3). GWAS identified a genome-wide significant association at 5p15.33 (CLPTM1L, rs383009:T>C, T Allele Frequency=0.51, OR:1.45, P value=1.24x10-8), a locus previously associated with PDAC. Known loci at 5p15.33, 7q32.3, 8q24.21 and 7q25.1 also replicated (P value <0.01). Multi-ancestral fine-mapping identified two potential causal SNPs (rs3830069 and rs2735940) at 5p15.33. Collectively these findings identified novel PDAC risk loci and expanded our understanding of this deadly cancer in underrepresented populations, emphasizing the multifactorial nature of PDAC risk including inherited genetic and non-genetic factors. Statement of SignificanceTo understand how genetic variation contributes to PDAC risk in Black people in North American, we studied individuals of genetically-inferred African ancestry. We identified novel risk loci and differences in the contribution of known loci. This demonstrates that ancestry-informed genetic analyses improve our understanding of PDAC risk and enhances discovery.
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