Incorporating multiple sets of eQTL weights into gene‐by‐environment interaction analysis identifies novel susceptibility loci for pancreatic cancer is a research paper published in Genetic Epidemiology (2020). On theSindex it has a DataRank of 0. It has been cited 3 times.
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National Institutes of Health
Grant: P30CA008748
National Institutes of Health
Grant: R01CA169122
National Institutes of Health
Grant: R01HL116720
National Institutes of Health
Grant: R21HL126032 R01CA154823
National Health and Medical Research Council
Grant: Queensland Pancreatic Cancer Study
NCI NIH HHS
Grant: R01 CA154823
NCI NIH HHS
Grant: U01 CA074783
World Health Organization
Grant: 001
NCI NIH HHS
Grant: P50 CA062924
NCI NIH HHS
Grant: P30 CA016672
Medical Research Council
Grant: MC_UU_12015/1
NHLBI NIH HHS
Grant: R21 HL126032
NCI NIH HHS
Grant: U01 CA167551
National Institutes of Health
Grant: 2P30CA008748-43
MOUSE GENETICS
National Institutes of Health
Grant: 1R21HL126032-01
Genome-wide gene-by-smoking interaction analysis of pulmonary function
National Institutes of Health
Grant: 4R01CA169122-04
Genetic Susceptibility and Risk Model for Pancreatic Cancer
National Institutes of Health
Grant: 5R01HL116720-05
Association analysis of rare variants with sequencing data
FWCI
0.00
Citation Percentile
0.1%
Citation Trend
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