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Lars G Fritsche

Showing results (61-70 of 131) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|August 15, 2020
COVID-19 outcomes, risk factors and associations by race: a comprehensive analysis using electronic health records data in Michigan MedicineTian Gu, Jasmine A Mack, Maxwell Salvatore, et al.
Human Molecular Genetics|September 17, 2010
An imbalance of human complement regulatory proteins CFHR1, CFHR3 and factor H influences risk for age-related macular degeneration (AMD)Lars G Fritsche, Nadine Lauer, Andrea Hartmann, et al.
Genetic Epidemiology|August 22, 2019
Meta-MultiSKAT: Multiple phenotype meta-analysis for region-based association testDiptavo Dutta, Sarah A Gagliano Taliun, Joshua S Weinstock, et al.
JAMA Psychiatry|November 1, 2023
Genetic Liability to Posttraumatic Stress Disorder Symptoms and Its Association With Cardiometabolic and Respiratory OutcomesGita A Pathak, Kritika Singh, Karmel W Choi, et al.
Epidemiology and Health|August 17, 2023
Epidemiologic Questionnaire (EPI-Q) - a scalable, app-based health survey linked to electronic health record and genotype dataMaxwell Salvatore, Dylan Clark-Boucher, Lars G Fritsche, et al.
Medrxiv : the Preprint Server for Health Sciences|August 15, 2020
A phenome-wide association study (PheWAS) of COVID-19 outcomes by race using the electronic health records data in Michigan MedicineMaxwell Salvatore, Tian Gu, Jasmine A Mack, et al.
American Journal of Human Genetics|May 22, 2018
Association of Polygenic Risk Scores for Multiple Cancers in a Phenome-wide Study: Results from The Michigan Genomics InitiativeLars G Fritsche, Stephen B Gruber, Zhenke Wu, et al.
Journal of Clinical Medicine|April 3, 2021
A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan MedicineMaxwell Salvatore, Tian Gu, Jasmine A Mack, et al.
Genome Research|August 10, 2010
CRX ChIP-seq reveals the cis-regulatory architecture of mouse photoreceptorsJoseph C Corbo, Karen A Lawrence, Marcus Karlstetter, et al.
Medrxiv : the Preprint Server for Health Sciences|September 18, 2025
A Linear Analysis Mixed Model Phenotyper (LAMP) for Bipolar Disorder: Evaluating the Impact of Medication, Substance Use Disorders, and Comorbidities on Mood TrajectoriesQingzhi Liu, Pranjal Srivastava, Ivan Rozhkov, et al.
Pageof 14

Showing results (61-70 of 131) with videos related to

Sort By:
Pageof 14
Medrxiv : the Preprint Server for Health Sciences|August 15, 2020
COVID-19 outcomes, risk factors and associations by race: a comprehensive analysis using electronic health records data in Michigan MedicineTian Gu, Jasmine A Mack, Maxwell Salvatore, et al.
Human Molecular Genetics|September 17, 2010
An imbalance of human complement regulatory proteins CFHR1, CFHR3 and factor H influences risk for age-related macular degeneration (AMD)Lars G Fritsche, Nadine Lauer, Andrea Hartmann, et al.
Genetic Epidemiology|August 22, 2019
Meta-MultiSKAT: Multiple phenotype meta-analysis for region-based association testDiptavo Dutta, Sarah A Gagliano Taliun, Joshua S Weinstock, et al.
JAMA Psychiatry|November 1, 2023
Genetic Liability to Posttraumatic Stress Disorder Symptoms and Its Association With Cardiometabolic and Respiratory OutcomesGita A Pathak, Kritika Singh, Karmel W Choi, et al.
Epidemiology and Health|August 17, 2023
Epidemiologic Questionnaire (EPI-Q) - a scalable, app-based health survey linked to electronic health record and genotype dataMaxwell Salvatore, Dylan Clark-Boucher, Lars G Fritsche, et al.
Medrxiv : the Preprint Server for Health Sciences|August 15, 2020
A phenome-wide association study (PheWAS) of COVID-19 outcomes by race using the electronic health records data in Michigan MedicineMaxwell Salvatore, Tian Gu, Jasmine A Mack, et al.
American Journal of Human Genetics|May 22, 2018
Association of Polygenic Risk Scores for Multiple Cancers in a Phenome-wide Study: Results from The Michigan Genomics InitiativeLars G Fritsche, Stephen B Gruber, Zhenke Wu, et al.
Journal of Clinical Medicine|April 3, 2021
A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan MedicineMaxwell Salvatore, Tian Gu, Jasmine A Mack, et al.
Genome Research|August 10, 2010
CRX ChIP-seq reveals the cis-regulatory architecture of mouse photoreceptorsJoseph C Corbo, Karen A Lawrence, Marcus Karlstetter, et al.
Medrxiv : the Preprint Server for Health Sciences|September 18, 2025
A Linear Analysis Mixed Model Phenotyper (LAMP) for Bipolar Disorder: Evaluating the Impact of Medication, Substance Use Disorders, and Comorbidities on Mood TrajectoriesQingzhi Liu, Pranjal Srivastava, Ivan Rozhkov, et al.
Pageof 14