Quantifying the Genetic Correlation between Multiple Cancer Types
Standard
Quantifying the Genetic Correlation between Multiple Cancer Types. / Lindström, Sara; Finucane, Hilary K; Bulik-Sullivan, Brendan; Schumacher, Fredrick R; Amos, Christopher I; Hung, Rayjean J; Rand, Kristin; Gruber, Stephen B; Conti, David; Permuth, Jennifer B; Lin, Hui-Yi; Goode, Ellen L; Sellers, Thomas A; Amundadottir, Laufey T; Stolzenberg-Solomon, Rachael Z; Klein, Alison P; Petersen, Gloria M; Risch, Harvey A; Wolpin, Brian M; Hsu, Li; Huyghe, Jeroen R; Chang-Claude, Jenny; Chan, Andrew; Berndt, Sonja I; Eeles, Rosalind; Easton, Douglas; Haiman, Christopher A; Hunter, David J; Neale, Benjamin M; Price, Alkes L; Kraft, Peter; PanScan, GECCO and the GAME-ON Network: CORECT, DRIVE, ELLIPSE, FOCI, and TRICL-ILCCO.
in: CANCER EPIDEM BIOMAR, Jahrgang 26, Nr. 9, 09.2017, S. 1427-1435.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - JOUR
T1 - Quantifying the Genetic Correlation between Multiple Cancer Types
AU - Lindström, Sara
AU - Finucane, Hilary K
AU - Bulik-Sullivan, Brendan
AU - Schumacher, Fredrick R
AU - Amos, Christopher I
AU - Hung, Rayjean J
AU - Rand, Kristin
AU - Gruber, Stephen B
AU - Conti, David
AU - Permuth, Jennifer B
AU - Lin, Hui-Yi
AU - Goode, Ellen L
AU - Sellers, Thomas A
AU - Amundadottir, Laufey T
AU - Stolzenberg-Solomon, Rachael Z
AU - Klein, Alison P
AU - Petersen, Gloria M
AU - Risch, Harvey A
AU - Wolpin, Brian M
AU - Hsu, Li
AU - Huyghe, Jeroen R
AU - Chang-Claude, Jenny
AU - Chan, Andrew
AU - Berndt, Sonja I
AU - Eeles, Rosalind
AU - Easton, Douglas
AU - Haiman, Christopher A
AU - Hunter, David J
AU - Neale, Benjamin M
AU - Price, Alkes L
AU - Kraft, Peter
AU - PanScan, GECCO and the GAME-ON Network: CORECT, DRIVE, ELLIPSE, FOCI, and TRICL-ILCCO
N1 - ©2017 American Association for Cancer Research.
PY - 2017/9
Y1 - 2017/9
N2 - Background: Many cancers share specific genetic risk factors, including both rare high-penetrance mutations and common SNPs identified through genome-wide association studies (GWAS). However, little is known about the overall shared heritability across cancers. Quantifying the extent to which two distinct cancers share genetic origin will give insights to shared biological mechanisms underlying cancer and inform design for future genetic association studies.Methods: In this study, we estimated the pair-wise genetic correlation between six cancer types (breast, colorectal, lung, ovarian, pancreatic, and prostate) using cancer-specific GWAS summary statistics data based on 66,958 case and 70,665 control subjects of European ancestry. We also estimated genetic correlations between cancers and 14 noncancer diseases and traits.Results: After adjusting for 15 pair-wise genetic correlation tests between cancers, we found significant (P < 0.003) genetic correlations between pancreatic and colorectal cancer (rg = 0.55, P = 0.003), lung and colorectal cancer (rg = 0.31, P = 0.001). We also found suggestive genetic correlations between lung and breast cancer (rg = 0.27, P = 0.009), and colorectal and breast cancer (rg = 0.22, P = 0.01). In contrast, we found no evidence that prostate cancer shared an appreciable proportion of heritability with other cancers. After adjusting for 84 tests studying genetic correlations between cancer types and other traits (Bonferroni-corrected P value: 0.0006), only the genetic correlation between lung cancer and smoking remained significant (rg = 0.41, P = 1.03 × 10(-6)). We also observed nominally significant genetic correlations between body mass index and all cancers except ovarian cancer.Conclusions: Our results highlight novel genetic correlations and lend support to previous observational studies that have observed links between cancers and risk factors.Impact: This study demonstrates modest genetic correlations between cancers; in particular, breast, colorectal, and lung cancer share some degree of genetic basis. Cancer Epidemiol Biomarkers Prev; 26(9); 1427-35. ©2017 AACR.
AB - Background: Many cancers share specific genetic risk factors, including both rare high-penetrance mutations and common SNPs identified through genome-wide association studies (GWAS). However, little is known about the overall shared heritability across cancers. Quantifying the extent to which two distinct cancers share genetic origin will give insights to shared biological mechanisms underlying cancer and inform design for future genetic association studies.Methods: In this study, we estimated the pair-wise genetic correlation between six cancer types (breast, colorectal, lung, ovarian, pancreatic, and prostate) using cancer-specific GWAS summary statistics data based on 66,958 case and 70,665 control subjects of European ancestry. We also estimated genetic correlations between cancers and 14 noncancer diseases and traits.Results: After adjusting for 15 pair-wise genetic correlation tests between cancers, we found significant (P < 0.003) genetic correlations between pancreatic and colorectal cancer (rg = 0.55, P = 0.003), lung and colorectal cancer (rg = 0.31, P = 0.001). We also found suggestive genetic correlations between lung and breast cancer (rg = 0.27, P = 0.009), and colorectal and breast cancer (rg = 0.22, P = 0.01). In contrast, we found no evidence that prostate cancer shared an appreciable proportion of heritability with other cancers. After adjusting for 84 tests studying genetic correlations between cancer types and other traits (Bonferroni-corrected P value: 0.0006), only the genetic correlation between lung cancer and smoking remained significant (rg = 0.41, P = 1.03 × 10(-6)). We also observed nominally significant genetic correlations between body mass index and all cancers except ovarian cancer.Conclusions: Our results highlight novel genetic correlations and lend support to previous observational studies that have observed links between cancers and risk factors.Impact: This study demonstrates modest genetic correlations between cancers; in particular, breast, colorectal, and lung cancer share some degree of genetic basis. Cancer Epidemiol Biomarkers Prev; 26(9); 1427-35. ©2017 AACR.
KW - Journal Article
U2 - 10.1158/1055-9965.EPI-17-0211
DO - 10.1158/1055-9965.EPI-17-0211
M3 - SCORING: Journal article
C2 - 28637796
VL - 26
SP - 1427
EP - 1435
JO - CANCER EPIDEM BIOMAR
JF - CANCER EPIDEM BIOMAR
SN - 1055-9965
IS - 9
ER -