A whole-exome case-control association study to characterize the contribution of rare coding variation to pancreatic cancer risk
Yao Yu,
Kyle Chang,
Jiun-Sheng Chen,
Ryan J. Bohlender,
Jerry Fowler,
Di Zhang,
Maosheng Huang,
Ping Chang,
Yanan Li,
Justin Wong,
Huamin Wang,
Jian Gu,
Xifeng Wu,
Joellen Schildkraut,
Lisa Cannon-Albright,
Yuanqing Ye,
Hua Zhao,
Michelle A.T. Hildebrandt,
Jennifer B. Permuth,
Donghui Li,
Paul Scheet,
Chad D. Huff
Affiliations
Yao Yu
Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
Kyle Chang
Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
Jiun-Sheng Chen
Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
Ryan J. Bohlender
Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
Jerry Fowler
Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
Di Zhang
Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
Maosheng Huang
Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
Ping Chang
Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
Yanan Li
Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
Justin Wong
Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
Huamin Wang
Department of Anatomical Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
Jian Gu
Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
Xifeng Wu
Center for Clinical Big Data and Analytics, Bioinformatics and Big Data, The Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, PR China
Joellen Schildkraut
Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
Lisa Cannon-Albright
Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA; George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA; Huntsman Cancer Institute, Salt Lake City, UT, USA
Yuanqing Ye
Center for Clinical Big Data and Analytics, Bioinformatics and Big Data, The Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, PR China
Hua Zhao
Department of Family Medicine and Population Health, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA
Michelle A.T. Hildebrandt
Department of Lymphoma and Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX, USA
Jennifer B. Permuth
Departments of Cancer Epidemiology and Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, FL, USA
Donghui Li
Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
Paul Scheet
Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA; Corresponding author
Chad D. Huff
Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA; Corresponding author
Summary: Pancreatic cancer is a deadly disease that accounts for approximately 5% of cancer deaths worldwide, with a dismal 5-year survival rate of 10%. Known genetic risk factors explain only a modest proportion of the heritable risk of pancreatic cancer. We conducted a whole-exome case-control sequencing study in 1,591 pancreatic cancer cases and 2,134 cancer-free controls of European ancestry. In our gene-based analysis, ATM ranked first, with a genome-wide significant p value of 1 × 10−8. The odds ratio for protein-truncating variants in ATM was 24, which is substantially higher than prior estimates, although ours includes a broad 95% confidence interval (4.0–1000). SIK3 was the second highest ranking gene (p = 3.84 × 10−6, false discovery rate or FDR = 0.032). We observed nominally significant association signals in several genes of a priori interest, including BRCA2 (p = 4.3 × 10−4), STK11 (p = 0.003), PALB2 (p = 0.019), and TP53 (p = 0.037), and reported risk estimates for known pathogenic variants and variants of uncertain significance (VUS) in these genes. The rare variants in established susceptibility genes explain approximately 24% of log familial relative risk, which is comparable to the contribution from established common susceptibility variants (17%). In conclusion, this study provides new insights into the genetic susceptibility of pancreatic cancer, refining rare variant risk estimates in known pancreatic cancer susceptibility genes and identifying SIK3 as a novel candidate susceptibility gene. This study highlights the prominent importance of ATM truncating variants and the underappreciated role of VUS in pancreatic cancer etiology.