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Shiro Maeda

Showing results (121-130 of 131) with videos related to

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Nature Genetics|December 14, 2011
Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east AsiansYoon Shin Cho, Chien-Hsiun Chen, Cheng Hu, et al.
Diabetes|April 29, 2018
A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 DiabetesNatalie R van Zuydam, Emma Ahlqvist, Niina Sandholm, et al.
Diabetes|April 29, 2020
Erratum. Multiethnic Genome-Wide Association Study of Diabetic Retinopathy Using Liability Threshold Modeling of Duration of Diabetes and Glycemic Control. Diabetes 2019;68:441-456Samuela Pollack, Robert P Igo, Richard A Jensen, et al.
Diabetes|November 30, 2018
Multiethnic Genome-Wide Association Study of Diabetic Retinopathy Using Liability Threshold Modeling of Duration of Diabetes and Glycemic ControlSamuela Pollack, Robert P Igo, Richard A Jensen, et al.
Nature Genetics|September 5, 2017
Identification of new susceptibility loci for type 2 diabetes and shared etiological pathways with coronary heart diseaseWei Zhao, Asif Rasheed, Emmi Tikkanen, et al.
Nature|June 6, 2020
Identification of type 2 diabetes loci in 433,540 East Asian individualsCassandra N Spracklen, Momoko Horikoshi, Young Jin Kim, et al.
Medrxiv : the Preprint Server for Health Sciences|August 8, 2025
Multi-ancestry polygenic risk scores for the prediction of type 2 diabetes and complications in diverse ancestriesAlicia Huerta-Chagoya, Joohyun Kim, Ravi Mandla, et al.
Nature Genetics|February 11, 2014
Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility, , , et al.
Nature Genetics|May 13, 2022
Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translationAnubha Mahajan, Cassandra N Spracklen, Weihua Zhang, et al.
Medrxiv : the Preprint Server for Health Sciences|April 10, 2023
Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complicationsKen Suzuki, Konstantinos Hatzikotoulas, Lorraine Southam, et al.
Pageof 14

Showing results (121-130 of 131) with videos related to

Sort By:
Pageof 14
Nature Genetics|December 14, 2011
Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east AsiansYoon Shin Cho, Chien-Hsiun Chen, Cheng Hu, et al.
Diabetes|April 29, 2018
A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 DiabetesNatalie R van Zuydam, Emma Ahlqvist, Niina Sandholm, et al.
Diabetes|April 29, 2020
Erratum. Multiethnic Genome-Wide Association Study of Diabetic Retinopathy Using Liability Threshold Modeling of Duration of Diabetes and Glycemic Control. Diabetes 2019;68:441-456Samuela Pollack, Robert P Igo, Richard A Jensen, et al.
Diabetes|November 30, 2018
Multiethnic Genome-Wide Association Study of Diabetic Retinopathy Using Liability Threshold Modeling of Duration of Diabetes and Glycemic ControlSamuela Pollack, Robert P Igo, Richard A Jensen, et al.
Nature Genetics|September 5, 2017
Identification of new susceptibility loci for type 2 diabetes and shared etiological pathways with coronary heart diseaseWei Zhao, Asif Rasheed, Emmi Tikkanen, et al.
Nature|June 6, 2020
Identification of type 2 diabetes loci in 433,540 East Asian individualsCassandra N Spracklen, Momoko Horikoshi, Young Jin Kim, et al.
Medrxiv : the Preprint Server for Health Sciences|August 8, 2025
Multi-ancestry polygenic risk scores for the prediction of type 2 diabetes and complications in diverse ancestriesAlicia Huerta-Chagoya, Joohyun Kim, Ravi Mandla, et al.
Nature Genetics|February 11, 2014
Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility, , , et al.
Nature Genetics|May 13, 2022
Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translationAnubha Mahajan, Cassandra N Spracklen, Weihua Zhang, et al.
Medrxiv : the Preprint Server for Health Sciences|April 10, 2023
Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complicationsKen Suzuki, Konstantinos Hatzikotoulas, Lorraine Southam, et al.
Pageof 14