volume 28 issue 7 pages 1238-1245

Analysis of Heritability and Genetic Architecture of Pancreatic Cancer: A PanC4 Study

Fei Chen 1
Erica J. Childs 2
Evelina Mocci 2
Paige Bracci 3
Steven Gallinger 4
Donghui Li 5
Rachel E. Neale 6
Sara H. Olson 7
Ghislaine Scelo 8
William R. Bamlet 9
Amanda L Blackford 2
Michael Borges 10
Paul Brennan 8
Kari G. Rabe 9
Priya Duggal 1
Manal J Hassan 5
Elizabeth A. Holly 3
Rayjean J. Hung 11
Michael G. Goggins 10
Robert C Kurtz 12
Ann L Oberg 9
I Orlow 7
Herbert Yu 13
Gloria M. Petersen 9
Harvey A. Risch 14
Alison Klein 1, 2, 10
4
 
4Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.
11
 
11Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada.
Publication typeJournal Article
Publication date2019-07-01
scimago Q1
wos Q1
SJR1.939
CiteScore6.4
Impact factor3.4
ISSN10559965, 15387755
Oncology
Epidemiology
Abstract
Background:

Pancreatic cancer is the fourth-leading cause of cancer death in both men and women in the United States. The currently identified common susceptibility loci account for a small fraction of estimated heritability. We sought to estimate overall heritability of pancreatic cancer and partition the heritability by variant frequencies and functional annotations.

Methods:

Analysis using the genome-based restricted maximum likelihood method (GREML) was conducted on Pancreatic Cancer Case-Control Consortium (PanC4) genome-wide association study (GWAS) data from 3,568 pancreatic cancer cases and 3,363 controls of European Ancestry.

Results:

Applying linkage disequilibrium- and minor allele frequency-stratified GREML (GREML-LDMS) method to imputed GWAS data, we estimated the overall heritability of pancreatic cancer to be 21.2% (SE = 4.8%). Across the functional groups (intronic, intergenic, coding, and regulatory variants), intronic variants account for most of the estimated heritability (12.4%). Previously identified GWAS loci explained 4.1% of the total phenotypic variation of pancreatic cancer. Mutations in hereditary pancreatic cancer susceptibility genes are present in 4% to 10% of patients with pancreatic cancer, yet our GREML-LDMS results suggested these regions explain only 0.4% of total phenotypic variance for pancreatic cancer.

Conclusions:

Although higher than previous studies, our estimated 21.2% overall heritability may still be downwardly biased due to the inherent limitation that the contribution of rare variants in genes with a substantive overall impact on disease are not captured when applying these commonly used methods to imputed GWAS data.

Impact:

Our work demonstrated the importance of rare and common variants in pancreatic cancer risk.

Found 
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GOST |
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GOST Copy
Chen F. et al. Analysis of Heritability and Genetic Architecture of Pancreatic Cancer: A PanC4 Study // Cancer Epidemiology Biomarkers and Prevention. 2019. Vol. 28. No. 7. pp. 1238-1245.
GOST all authors (up to 50) Copy
Chen F., Childs E. J., Mocci E., Bracci P., Gallinger S., Li D., Neale R. E., Olson S. H., Scelo G., Bamlet W. R., Blackford A. L., Borges M., Brennan P., Rabe K. G., Duggal P., Hassan M. J., Holly E. A., Hung R. J., Goggins M. G., Kurtz R. C., Oberg A. L., Orlow I., Yu H., Petersen G. M., Risch H. A., Klein A. Analysis of Heritability and Genetic Architecture of Pancreatic Cancer: A PanC4 Study // Cancer Epidemiology Biomarkers and Prevention. 2019. Vol. 28. No. 7. pp. 1238-1245.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1158/1055-9965.epi-18-1235
UR - https://doi.org/10.1158/1055-9965.epi-18-1235
TI - Analysis of Heritability and Genetic Architecture of Pancreatic Cancer: A PanC4 Study
T2 - Cancer Epidemiology Biomarkers and Prevention
AU - Chen, Fei
AU - Childs, Erica J.
AU - Mocci, Evelina
AU - Bracci, Paige
AU - Gallinger, Steven
AU - Li, Donghui
AU - Neale, Rachel E.
AU - Olson, Sara H.
AU - Scelo, Ghislaine
AU - Bamlet, William R.
AU - Blackford, Amanda L
AU - Borges, Michael
AU - Brennan, Paul
AU - Rabe, Kari G.
AU - Duggal, Priya
AU - Hassan, Manal J
AU - Holly, Elizabeth A.
AU - Hung, Rayjean J.
AU - Goggins, Michael G.
AU - Kurtz, Robert C
AU - Oberg, Ann L
AU - Orlow, I
AU - Yu, Herbert
AU - Petersen, Gloria M.
AU - Risch, Harvey A.
AU - Klein, Alison
PY - 2019
DA - 2019/07/01
PB - American Association for Cancer Research (AACR)
SP - 1238-1245
IS - 7
VL - 28
PMID - 31015203
SN - 1055-9965
SN - 1538-7755
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2019_Chen,
author = {Fei Chen and Erica J. Childs and Evelina Mocci and Paige Bracci and Steven Gallinger and Donghui Li and Rachel E. Neale and Sara H. Olson and Ghislaine Scelo and William R. Bamlet and Amanda L Blackford and Michael Borges and Paul Brennan and Kari G. Rabe and Priya Duggal and Manal J Hassan and Elizabeth A. Holly and Rayjean J. Hung and Michael G. Goggins and Robert C Kurtz and Ann L Oberg and I Orlow and Herbert Yu and Gloria M. Petersen and Harvey A. Risch and Alison Klein},
title = {Analysis of Heritability and Genetic Architecture of Pancreatic Cancer: A PanC4 Study},
journal = {Cancer Epidemiology Biomarkers and Prevention},
year = {2019},
volume = {28},
publisher = {American Association for Cancer Research (AACR)},
month = {jul},
url = {https://doi.org/10.1158/1055-9965.epi-18-1235},
number = {7},
pages = {1238--1245},
doi = {10.1158/1055-9965.epi-18-1235}
}
MLA
Cite this
MLA Copy
Chen, Fei, et al. “Analysis of Heritability and Genetic Architecture of Pancreatic Cancer: A PanC4 Study.” Cancer Epidemiology Biomarkers and Prevention, vol. 28, no. 7, Jul. 2019, pp. 1238-1245. https://doi.org/10.1158/1055-9965.epi-18-1235.