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HGG Advances
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November 4, 2021
Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits
Daokun Sun, Melissa Richard, Solomon K Musani, et al.
Blood
|
September 3, 2024
Whole-genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles
Jennifer E Huffman, Jayna Nicholas, Julie Hahn, et al.
Nature
|
October 15, 2020
Inherited causes of clonal haematopoiesis in 97,691 whole genomes
Alexander G Bick, Joshua S Weinstock, Satish K Nandakumar, et al.
Translational Psychiatry
|
June 19, 2025
Multi-ancestry genome-wide association analyses incorporating SNP-by-psychosocial interactions identify novel loci for serum lipids
Amy R Bentley, Michael R Brown, Solomon K Musani, et al.
Circulation. Cardiovascular Genetics
|
October 15, 2017
New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals
Aldi T Kraja, James P Cook, Helen R Warren, et al.
Nature
|
March 12, 2021
Author Correction: Inherited causes of clonal haematopoiesis in 97,691 whole genomes
Alexander G Bick, Joshua S Weinstock, Satish K Nandakumar, et al.
Medrxiv : the Preprint Server for Health Sciences
|
July 3, 2023
Whole genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles
Jennifer E Huffman, Jayna Nicolas, Julie Hahn, et al.
Nature Communications
|
November 14, 2019
Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration
Raymond Noordam, Maxime M Bos, Heming Wang, et al.
Nature
|
September 15, 2015
Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture
Hou-Feng Zheng, Vincenzo Forgetta, Yi-Hsiang Hsu, et al.
BMJ (Clinical Research Ed.)
|
July 12, 2014
Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data
Michael V Holmes, Caroline E Dale, Luisa Zuccolo, et al.
Page
of 53
Search research articles
Search
Showing results (461-470 of 530) with videos related to
Sort By:
Page
of 53
HGG Advances
|
November 4, 2021
Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits
Daokun Sun, Melissa Richard, Solomon K Musani, et al.
Blood
|
September 3, 2024
Whole-genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles
Jennifer E Huffman, Jayna Nicholas, Julie Hahn, et al.
Nature
|
October 15, 2020
Inherited causes of clonal haematopoiesis in 97,691 whole genomes
Alexander G Bick, Joshua S Weinstock, Satish K Nandakumar, et al.
Translational Psychiatry
|
June 19, 2025
Multi-ancestry genome-wide association analyses incorporating SNP-by-psychosocial interactions identify novel loci for serum lipids
Amy R Bentley, Michael R Brown, Solomon K Musani, et al.
Circulation. Cardiovascular Genetics
|
October 15, 2017
New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals
Aldi T Kraja, James P Cook, Helen R Warren, et al.
Nature
|
March 12, 2021
Author Correction: Inherited causes of clonal haematopoiesis in 97,691 whole genomes
Alexander G Bick, Joshua S Weinstock, Satish K Nandakumar, et al.
Medrxiv : the Preprint Server for Health Sciences
|
July 3, 2023
Whole genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles
Jennifer E Huffman, Jayna Nicolas, Julie Hahn, et al.
Nature Communications
|
November 14, 2019
Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration
Raymond Noordam, Maxime M Bos, Heming Wang, et al.
Nature
|
September 15, 2015
Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture
Hou-Feng Zheng, Vincenzo Forgetta, Yi-Hsiang Hsu, et al.
BMJ (Clinical Research Ed.)
|
July 12, 2014
Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data
Michael V Holmes, Caroline E Dale, Luisa Zuccolo, et al.
Page
of 53