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Panos Deloukas

Showing results (291-300 of 349) with videos related to

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Nature Genetics|August 14, 2012
Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetesAndrew P Morris, Benjamin F Voight, Tanya M Teslovich, et al.
Nature Communications|January 6, 2021
Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variabilityVasiliki Lagou, Reedik Mägi, Jouke- Jan Hottenga, et al.
Nature Communications|February 9, 2021
Publisher Correction: Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variabilityVasiliki Lagou, Reedik Mägi, Jouke- Jan Hottenga, et al.
Science (New York, N.Y.)|June 1, 2013
GWAS of 126,559 individuals identifies genetic variants associated with educational attainmentCornelius A Rietveld, Sarah E Medland, Jaime Derringer, et al.
Nature Genetics|September 13, 2016
Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertensionPraveen Surendran, Fotios Drenos, Robin Young, et al.
Nature Genetics|May 15, 2012
A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistanceAlisa K Manning, Marie-France Hivert, Robert A Scott, et al.
Nature Communications|January 30, 2015
Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibilityJennifer Wessel, Audrey Y Chu, Sara M Willems, et al.
Nature|April 3, 2010
Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls, Nick Craddock, Matthew E Hurles, et al.
Plos Medicine|September 13, 2017
Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysisEleanor Wheeler, Aaron Leong, Ching-Ti Liu, et al.
Nature Genetics|April 11, 2018
Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetesAnubha Mahajan, Jennifer Wessel, Sara M Willems, et al.
Pageof 35

Showing results (291-300 of 349) with videos related to

Sort By:
Pageof 35
Nature Genetics|August 14, 2012
Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetesAndrew P Morris, Benjamin F Voight, Tanya M Teslovich, et al.
Nature Communications|January 6, 2021
Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variabilityVasiliki Lagou, Reedik Mägi, Jouke- Jan Hottenga, et al.
Nature Communications|February 9, 2021
Publisher Correction: Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variabilityVasiliki Lagou, Reedik Mägi, Jouke- Jan Hottenga, et al.
Science (New York, N.Y.)|June 1, 2013
GWAS of 126,559 individuals identifies genetic variants associated with educational attainmentCornelius A Rietveld, Sarah E Medland, Jaime Derringer, et al.
Nature Genetics|September 13, 2016
Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertensionPraveen Surendran, Fotios Drenos, Robin Young, et al.
Nature Genetics|May 15, 2012
A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistanceAlisa K Manning, Marie-France Hivert, Robert A Scott, et al.
Nature Communications|January 30, 2015
Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibilityJennifer Wessel, Audrey Y Chu, Sara M Willems, et al.
Nature|April 3, 2010
Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls, Nick Craddock, Matthew E Hurles, et al.
Plos Medicine|September 13, 2017
Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysisEleanor Wheeler, Aaron Leong, Ching-Ti Liu, et al.
Nature Genetics|April 11, 2018
Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetesAnubha Mahajan, Jennifer Wessel, Sara M Willems, et al.
Pageof 35