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Jun Lv

Showing results (1021-1030 of 1,026) with videos related to

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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.
Cell Genomics|February 13, 2023
Global Biobank Meta-analysis Initiative: Powering genetic discovery across human diseaseWei Zhou, Masahiro Kanai, Kuan-Han H Wu, 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|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.
Pageof 103

Showing results (1021-1030 of 1,026) with videos related to

Sort By:
Pageof 103
You have reached the last page of results.This site can display upto 1,026 results.
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.
Cell Genomics|February 13, 2023
Global Biobank Meta-analysis Initiative: Powering genetic discovery across human diseaseWei Zhou, Masahiro Kanai, Kuan-Han H Wu, 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|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.
Pageof 103