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Gauri Prasad

Showing results (21-30 of 29) with videos related to

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Communications Biology|May 5, 2022
Author Correction: Identification of genetic effects underlying type 2 diabetes in South Asian and European populationsMarie Loh, Weihua Zhang, Hong Kiat Ng, 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.
Nature|February 19, 2024
Genetic drivers of heterogeneity in type 2 diabetes pathophysiologyKen Suzuki, Konstantinos Hatzikotoulas, Lorraine Southam, et al.
Nature Communications|November 2, 2019
Associations of autozygosity with a broad range of human phenotypesDavid W Clark, Yukinori Okada, Kristjan H S Moore, et al.
Genome Biology|December 27, 2022
Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysisStavroula Kanoni, Sarah E Graham, Yuxuan Wang, et al.
Nature|December 10, 2021
The power of genetic diversity in genome-wide association studies of lipidsSarah E Graham, Shoa L Clarke, Kuan-Han H Wu, et al.
Nature|May 26, 2023
Author Correction: The power of genetic diversity in genome-wide association studies of lipidsSarah E Graham, Shoa L Clarke, Kuan-Han H Wu, et al.
American Journal of Human Genetics|August 5, 2022
A multi-layer functional genomic analysis to understand noncoding genetic variation in lipidsShweta Ramdas, Jonathan Judd, Sarah E Graham, et al.
Pageof 3

Showing results (21-30 of 29) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 29 results.
Communications Biology|May 5, 2022
Author Correction: Identification of genetic effects underlying type 2 diabetes in South Asian and European populationsMarie Loh, Weihua Zhang, Hong Kiat Ng, 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.
Nature|February 19, 2024
Genetic drivers of heterogeneity in type 2 diabetes pathophysiologyKen Suzuki, Konstantinos Hatzikotoulas, Lorraine Southam, et al.
Nature Communications|November 2, 2019
Associations of autozygosity with a broad range of human phenotypesDavid W Clark, Yukinori Okada, Kristjan H S Moore, et al.
Genome Biology|December 27, 2022
Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysisStavroula Kanoni, Sarah E Graham, Yuxuan Wang, et al.
Nature|December 10, 2021
The power of genetic diversity in genome-wide association studies of lipidsSarah E Graham, Shoa L Clarke, Kuan-Han H Wu, et al.
Nature|May 26, 2023
Author Correction: The power of genetic diversity in genome-wide association studies of lipidsSarah E Graham, Shoa L Clarke, Kuan-Han H Wu, et al.
American Journal of Human Genetics|August 5, 2022
A multi-layer functional genomic analysis to understand noncoding genetic variation in lipidsShweta Ramdas, Jonathan Judd, Sarah E Graham, et al.
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