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Nature
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September 30, 2022
Stroke genetics informs drug discovery and risk prediction across ancestries
Aniket Mishra, Rainer Malik, Tsuyoshi Hachiya, et al.
Nature Genetics
|
November 24, 2020
Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals
Praveen Surendran, Elena V Feofanova, Najim Lahrouchi, et al.
Nature Genetics
|
March 17, 2021
Publisher Correction: Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals
Praveen Surendran, Elena V Feofanova, Najim Lahrouchi, et al.
Nature Genetics
|
September 19, 2018
Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits
Evangelos Evangelou, Helen R Warren, David Mosen-Ansorena, et al.
Nature Genetics
|
November 16, 2018
Publisher Correction: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits
Evangelos Evangelou, Helen R Warren, David Mosen-Ansorena, et al.
Nature Genetics
|
November 9, 2023
Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants
Anqi Wang, Jiayi Shen, Alex A Rodriguez, et al.
Genome Biology
|
December 27, 2022
Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis
Stavroula Kanoni, Sarah E Graham, Yuxuan Wang, et al.
Nature
|
December 10, 2021
The power of genetic diversity in genome-wide association studies of lipids
Sarah 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 lipids
Sarah 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 lipids
Shweta Ramdas, Jonathan Judd, Sarah E Graham, et al.
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of 27
Search research articles
Search
Showing results (261-270 of 270) with videos related to
Sort By:
Page
of 27
You have reached the last page of results.
This site can display upto 270 results.
Nature
|
September 30, 2022
Stroke genetics informs drug discovery and risk prediction across ancestries
Aniket Mishra, Rainer Malik, Tsuyoshi Hachiya, et al.
Nature Genetics
|
November 24, 2020
Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals
Praveen Surendran, Elena V Feofanova, Najim Lahrouchi, et al.
Nature Genetics
|
March 17, 2021
Publisher Correction: Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals
Praveen Surendran, Elena V Feofanova, Najim Lahrouchi, et al.
Nature Genetics
|
September 19, 2018
Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits
Evangelos Evangelou, Helen R Warren, David Mosen-Ansorena, et al.
Nature Genetics
|
November 16, 2018
Publisher Correction: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits
Evangelos Evangelou, Helen R Warren, David Mosen-Ansorena, et al.
Nature Genetics
|
November 9, 2023
Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants
Anqi Wang, Jiayi Shen, Alex A Rodriguez, et al.
Genome Biology
|
December 27, 2022
Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis
Stavroula Kanoni, Sarah E Graham, Yuxuan Wang, et al.
Nature
|
December 10, 2021
The power of genetic diversity in genome-wide association studies of lipids
Sarah 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 lipids
Sarah 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 lipids
Shweta Ramdas, Jonathan Judd, Sarah E Graham, et al.
Page
of 27