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Timothy M Frayling

Showing results (11-20 of 307) with videos related to

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Current Diabetes Reports|April 12, 2007
Insights on pathogenesis of type 2 diabetes from MODY geneticsMichael N Weedon, Timothy M Frayling
Diabetes|May 24, 2014
Physiology helps GWAS take a step closer to mechanismTimothy M Frayling, Andrew T Hattersley
In Silico Biology|May 24, 2003
Combining genome and mouse knockout expression data to highlight binding sites for the transcription factor HNF1alphaChristopher R Lockwood, Timothy M Frayling
Current Opinion in Clinical Nutrition and Metabolic Care|June 11, 2008
New gene variants alter type 2 diabetes risk predominantly through reduced beta-cell functionJohn R B Perry, Timothy M Frayling
Molecular Genetics and Metabolism|October 3, 2002
The role of transcription factors in maturity-onset diabetes of the youngSimon M S Mitchell, Timothy M Frayling
Molecular Genetics and Metabolism|March 6, 2003
In silico searching of human and mouse genome data identifies known and unknown HNF1 binding sites upstream of beta-cell genesChristopher R Lockwood, Coralie Bingham, Timothy M Frayling
Current Opinion in Lipidology|December 4, 2009
Novel biological insights emerging from genetic studies of type 2 diabetes and related metabolic traitsN Maneka G De Silva, Timothy M Frayling
Clinical Endocrinology|December 18, 2003
Tall stories: the fundamental difficulties of genetic association studiesMichael N Weedon, Andrew T Hattersley, Timothy M Frayling
Age and Ageing|December 5, 2022
Genomics and multimorbidityJane A H Masoli, Luke C Pilling, Timothy M Frayling
Cell|April 2, 2021
Unreliability of genotyping arrays for detecting very rare variants in human genetic studies: Example from a recent study of MC4RMichael N Weedon, Caroline F Wright, Kashyap A Patel, et al.
Pageof 31

Showing results (11-20 of 307) with videos related to

Sort By:
Pageof 31
Current Diabetes Reports|April 12, 2007
Insights on pathogenesis of type 2 diabetes from MODY geneticsMichael N Weedon, Timothy M Frayling
Diabetes|May 24, 2014
Physiology helps GWAS take a step closer to mechanismTimothy M Frayling, Andrew T Hattersley
In Silico Biology|May 24, 2003
Combining genome and mouse knockout expression data to highlight binding sites for the transcription factor HNF1alphaChristopher R Lockwood, Timothy M Frayling
Current Opinion in Clinical Nutrition and Metabolic Care|June 11, 2008
New gene variants alter type 2 diabetes risk predominantly through reduced beta-cell functionJohn R B Perry, Timothy M Frayling
Molecular Genetics and Metabolism|October 3, 2002
The role of transcription factors in maturity-onset diabetes of the youngSimon M S Mitchell, Timothy M Frayling
Molecular Genetics and Metabolism|March 6, 2003
In silico searching of human and mouse genome data identifies known and unknown HNF1 binding sites upstream of beta-cell genesChristopher R Lockwood, Coralie Bingham, Timothy M Frayling
Current Opinion in Lipidology|December 4, 2009
Novel biological insights emerging from genetic studies of type 2 diabetes and related metabolic traitsN Maneka G De Silva, Timothy M Frayling
Clinical Endocrinology|December 18, 2003
Tall stories: the fundamental difficulties of genetic association studiesMichael N Weedon, Andrew T Hattersley, Timothy M Frayling
Age and Ageing|December 5, 2022
Genomics and multimorbidityJane A H Masoli, Luke C Pilling, Timothy M Frayling
Cell|April 2, 2021
Unreliability of genotyping arrays for detecting very rare variants in human genetic studies: Example from a recent study of MC4RMichael N Weedon, Caroline F Wright, Kashyap A Patel, et al.
Pageof 31