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Showing results (891-900 of 1,250) with videos related to

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Circulation. Cardiovascular Genetics|August 11, 2017
Fifteen Genetic Loci Associated With the Electrocardiographic P WaveIngrid E Christophersen, Jared W Magnani, Xiaoyan Yin, et al.
Stroke|January 2, 2010
Genome-wide association studies of MRI-defined brain infarcts: meta-analysis from the CHARGE ConsortiumStéphanie Debette, Joshua C Bis, Myriam Fornage, et al.
American Journal of Human Genetics|July 1, 2014
Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associationsSanthi K Ganesh, Daniel I Chasman, Martin G Larson, et al.
Research Square|February 24, 2025
Cross-Ancestry Comparison of Aptamer and Antibody Proteomics MeasuresJayna C Nicholas, Daniel H Katz, Usman A Tahir, et al.
Genetic Epidemiology|May 28, 2016
An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working GroupYun Ju Sung, Thomas W Winkler, Alisa K Manning, et al.
The Pharmacogenomics Journal|March 6, 2013
Drug-gene interactions and the search for missing heritability: a cross-sectional pharmacogenomics study of the QT intervalC L Avery, C M Sitlani, D E Arking, et al.
Nature Genetics|July 1, 2008
Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's diseaseJeffrey C Barrett, Sarah Hansoul, Dan L Nicolae, et al.
Human Genetics|January 24, 2019
Leveraging linkage evidence to identify low-frequency and rare variants on 16p13 associated with blood pressure using TOPMed whole genome sequencing dataKaren Y He, Xiaoyin Li, Tanika N Kelly, et al.
Plos One|October 31, 2015
Drug-Gene Interactions of Antihypertensive Medications and Risk of Incident Cardiovascular Disease: A Pharmacogenomics Study from the CHARGE ConsortiumJoshua C Bis, Colleen Sitlani, Ryan Irvin, et al.
Nature Communications|March 27, 2026
An integrated germline and somatic genomic model for coronary artery diseaseXiong Yang, Min Seo Kim, Xinyu Zhu, et al.
Pageof 125

Showing results (891-900 of 1,250) with videos related to

Sort By:
Pageof 125
Circulation. Cardiovascular Genetics|August 11, 2017
Fifteen Genetic Loci Associated With the Electrocardiographic P WaveIngrid E Christophersen, Jared W Magnani, Xiaoyan Yin, et al.
Stroke|January 2, 2010
Genome-wide association studies of MRI-defined brain infarcts: meta-analysis from the CHARGE ConsortiumStéphanie Debette, Joshua C Bis, Myriam Fornage, et al.
American Journal of Human Genetics|July 1, 2014
Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associationsSanthi K Ganesh, Daniel I Chasman, Martin G Larson, et al.
Research Square|February 24, 2025
Cross-Ancestry Comparison of Aptamer and Antibody Proteomics MeasuresJayna C Nicholas, Daniel H Katz, Usman A Tahir, et al.
Genetic Epidemiology|May 28, 2016
An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working GroupYun Ju Sung, Thomas W Winkler, Alisa K Manning, et al.
The Pharmacogenomics Journal|March 6, 2013
Drug-gene interactions and the search for missing heritability: a cross-sectional pharmacogenomics study of the QT intervalC L Avery, C M Sitlani, D E Arking, et al.
Nature Genetics|July 1, 2008
Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's diseaseJeffrey C Barrett, Sarah Hansoul, Dan L Nicolae, et al.
Human Genetics|January 24, 2019
Leveraging linkage evidence to identify low-frequency and rare variants on 16p13 associated with blood pressure using TOPMed whole genome sequencing dataKaren Y He, Xiaoyin Li, Tanika N Kelly, et al.
Plos One|October 31, 2015
Drug-Gene Interactions of Antihypertensive Medications and Risk of Incident Cardiovascular Disease: A Pharmacogenomics Study from the CHARGE ConsortiumJoshua C Bis, Colleen Sitlani, Ryan Irvin, et al.
Nature Communications|March 27, 2026
An integrated germline and somatic genomic model for coronary artery diseaseXiong Yang, Min Seo Kim, Xinyu Zhu, et al.
Pageof 125