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David Kerr

Showing results (301-310 of 315) with videos related to

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European Journal of Cancer (Oxford, England : 1990)|August 23, 2017
Pro-inflammatory fatty acid profile and colorectal cancer risk: A Mendelian randomisation analysisSebastian May-Wilson, Amit Sud, Philip J Law, et al.
British Journal of Cancer|June 24, 2016
Mendelian randomisation analysis strongly implicates adiposity with risk of developing colorectal cancerDavid Jarvis, Jonathan S Mitchell, Philip J Law, et al.
Human Molecular Genetics|March 24, 2016
Variation at 2q35 (PNKD and TMBIM1) influences colorectal cancer risk and identifies a pleiotropic effect with inflammatory bowel diseaseGiulia Orlando, Philip J Law, Kimmo Palin, et al.
International Journal of Cancer|March 25, 2017
Mendelian randomisation implicates hyperlipidaemia as a risk factor for colorectal cancerHenry Rodriguez-Broadbent, Philip J Law, Amit Sud, et al.
International Journal of Cancer|September 30, 2017
Genome-wide association study and meta-analysis in Northern European populations replicate multiple colorectal cancer risk lociTomas Tanskanen, Linda van den Berg, Niko Välimäki, et al.
Human Molecular Genetics|August 30, 2008
Refinement of the basis and impact of common 11q23.1 variation to the risk of developing colorectal cancerAlan M Pittman, Emily Webb, Luis Carvajal-Carmona, et al.
Nature Genetics|April 1, 2008
A genome-wide association study identifies colorectal cancer susceptibility loci on chromosomes 10p14 and 8q23.3Ian P M Tomlinson, Emily Webb, Luis Carvajal-Carmona, et al.
Journal of Diabetes Science and Technology|January 14, 2026
Research Code Sharing in Support of Gold Standard ScienceDavid C Klonoff, Juan Espinoza, Julia K Mader, et al.
Nature Communications|May 16, 2019
Association analyses identify 31 new risk loci for colorectal cancer susceptibilityPhilip J Law, Maria Timofeeva, Ceres Fernandez-Rozadilla, et al.
Journal of Diabetes Science and Technology|October 6, 2024
The Diabetes Technology Society Error Grid and Trend Accuracy Matrix for Glucose MonitorsDavid C Klonoff, Guido Freckmann, Stefan Pleus, et al.
Pageof 32

Showing results (301-310 of 315) with videos related to

Sort By:
Pageof 32
European Journal of Cancer (Oxford, England : 1990)|August 23, 2017
Pro-inflammatory fatty acid profile and colorectal cancer risk: A Mendelian randomisation analysisSebastian May-Wilson, Amit Sud, Philip J Law, et al.
British Journal of Cancer|June 24, 2016
Mendelian randomisation analysis strongly implicates adiposity with risk of developing colorectal cancerDavid Jarvis, Jonathan S Mitchell, Philip J Law, et al.
Human Molecular Genetics|March 24, 2016
Variation at 2q35 (PNKD and TMBIM1) influences colorectal cancer risk and identifies a pleiotropic effect with inflammatory bowel diseaseGiulia Orlando, Philip J Law, Kimmo Palin, et al.
International Journal of Cancer|March 25, 2017
Mendelian randomisation implicates hyperlipidaemia as a risk factor for colorectal cancerHenry Rodriguez-Broadbent, Philip J Law, Amit Sud, et al.
International Journal of Cancer|September 30, 2017
Genome-wide association study and meta-analysis in Northern European populations replicate multiple colorectal cancer risk lociTomas Tanskanen, Linda van den Berg, Niko Välimäki, et al.
Human Molecular Genetics|August 30, 2008
Refinement of the basis and impact of common 11q23.1 variation to the risk of developing colorectal cancerAlan M Pittman, Emily Webb, Luis Carvajal-Carmona, et al.
Nature Genetics|April 1, 2008
A genome-wide association study identifies colorectal cancer susceptibility loci on chromosomes 10p14 and 8q23.3Ian P M Tomlinson, Emily Webb, Luis Carvajal-Carmona, et al.
Journal of Diabetes Science and Technology|January 14, 2026
Research Code Sharing in Support of Gold Standard ScienceDavid C Klonoff, Juan Espinoza, Julia K Mader, et al.
Nature Communications|May 16, 2019
Association analyses identify 31 new risk loci for colorectal cancer susceptibilityPhilip J Law, Maria Timofeeva, Ceres Fernandez-Rozadilla, et al.
Journal of Diabetes Science and Technology|October 6, 2024
The Diabetes Technology Society Error Grid and Trend Accuracy Matrix for Glucose MonitorsDavid C Klonoff, Guido Freckmann, Stefan Pleus, et al.
Pageof 32