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Marylyn DeRiggi Ritchie (1977-)

Genetikerin

Name	Marylyn DeRiggi Ritchie
Zeit	1977- (Lebensdaten)
Ort	USA
Akademischer Grad bzw. Titel	Prof.
Beruf	Genetikerin (charakteristischer Beruf)
Variante	Marylyn D. Ritchie
Beziehung	University of Pennsylvania
Quelle	LCAuth Wikipedia: https://en.wikipedia.org/wiki/Marylyn_D._Ritchie (Stand: 09.02.2022)
Datensatztyp	Person
GND-Nummer	1250930855
Datensatz-ID	1250930855
Beteiligt an alle anzeigen Genetic risk factors for COVID-19 and influenza are largely distinct The genetic architecture of multimodal human brain age Genome-wide association meta-analysis identifies risk loci for abdominal aortic aneurysm and highlights PCSK9 as a therapeutic target Projecting genetic associations through gene expression patterns highlights disease etiology and drug mechanisms Psychosis brain subtypes validated in first-episode cohorts and related to illness remission: results from the PHENOM consortium Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure Genetic regulation of OAS1 nonsense-mediated decay underlies association with COVID-19 hospitalization in patients of European and African ancestries Large-scale genomic analyses reveal insights into pleiotropy across circulatory system diseases and nervous system disorders Whole-genome sequencing reveals host factors underlying critical COVID-19 Lossless integration of multiple electronic health records for identifying pleiotropy using summary statistics Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies Innovative strategies for annotating the “relationSNP” between variants and molecular phenotypes A study paradigm integrating prospective epidemiologic cohorts and electronic health records to identify disease biomarkers PR interval genome-wide association meta-analysis identifies 50 loci associated with atrial and atrioventricular electrical activity Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals Genetic inactivation of ANGPTL4 improves glucose homeostasis and is associated with reduced risk of diabetes Integration of genetic and functional genomics data to uncover chemotherapeutic induced cytotoxicity

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Marylyn DeRiggi Ritchie (1977-)

Genetic risk factors for COVID-19 and influenza are largely distinct

The genetic architecture of multimodal human brain age

Genome-wide association meta-analysis identifies risk loci for abdominal aortic aneurysm and highlights PCSK9 as a therapeutic target

Projecting genetic associations through gene expression patterns highlights disease etiology and drug mechanisms

Psychosis brain subtypes validated in first-episode cohorts and related to illness remission: results from the PHENOM consortium

Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure

Genetic regulation of OAS1 nonsense-mediated decay underlies association with COVID-19 hospitalization in patients of European and African ancestries

Large-scale genomic analyses reveal insights into pleiotropy across circulatory system diseases and nervous system disorders

Whole-genome sequencing reveals host factors underlying critical COVID-19

Lossless integration of multiple electronic health records for identifying pleiotropy using summary statistics

Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies

Innovative strategies for annotating the “relationSNP” between variants and molecular phenotypes

A study paradigm integrating prospective epidemiologic cohorts and electronic health records to identify disease biomarkers

PR interval genome-wide association meta-analysis identifies 50 loci associated with atrial and atrioventricular electrical activity

Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

Genetic inactivation of ANGPTL4 improves glucose homeostasis and is associated with reduced risk of diabetes

Integration of genetic and functional genomics data to uncover chemotherapeutic induced cytotoxicity