World's Best Scientists 2026 revealed!

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Biology and Biochemistry

D-Index
108
Citations
60719
World Ranking
1029
National Ranking
622

Medicine

D-Index
108
Citations
61114
World Ranking
5892
National Ranking
3159

Overview

Marylyn D. Ritchie is affiliated with the University of Pennsylvania in the United States. Their research primarily spans the fields of Medicine and Biochemistry, Genetics and Molecular Biology, with significant contributions to subfields such as Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine, Infectious Diseases, and Pulmonary and Respiratory Medicine.

The scientist's work covers a range of topics including Genetic Associations and Epidemiology, Bioinformatics and Genomic Networks, Genomics and Rare Diseases, Genetic Mapping and Diversity in Plants and Animals, RNA modifications and cancer, BRCA gene mutations in cancer, and Epigenetics and DNA Methylation.

Recent published papers include the following:

  • Whole-genome sequencing reveals host factors underlying critical COVID-19 (2022, Nature)
  • Large-scale genome-wide association study of coronary artery disease in genetically diverse populations (2022, Nature Medicine)
  • Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease (2022, Nature Genetics)
  • Genetics of height and risk of atrial fibrillation: A Mendelian randomization study (2020, PLoS Medicine)
  • From GWAS to Gene: Transcriptome-Wide Association Studies and Other Methods to Functionally Understand GWAS Discoveries (2021, Frontiers in Genetics)

Frequent co-authors of Marylyn D. Ritchie include:

  • Anurag Verma
  • Daniel J. Rader
  • Scott M. Damrauer
  • Shefali S. Verma
  • Yuki Bradford

The scientist regularly publishes in several venues, with the most frequent being bioRxiv (Cold Spring Harbor Laboratory), UNC Libraries, Nature Genetics, Circulation, and Nature Communications.

Best Publications

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

    James J. Lee;Robbee Wedow;Aysu Okbay;Edward Kong

  • Multifactor-Dimensionality Reduction Reveals High-Order Interactions among Estrogen-Metabolism Genes in Sporadic Breast Cancer

    Marylyn D. Ritchie;Lance W. Hahn;Nady Roodi;L. Renee Bailey

  • Defining the role of common variation in the genomic and biological architecture of adult human height

    Andrew R. Wood;Tonu Esko;Jian Yang;Sailaja Vedantam

  • Genetic studies of body mass index yield new insights for obesity biology

    Adam E. Locke;Bratati Kahali;Sonja I. Berndt;Anne E. Justice

  • PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations.

    Joshua C. Denny;Marylyn D. Ritchie;Melissa A. Basford;Jill M. Pulley

  • Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions.

    Lance W. Hahn;Marylyn D. Ritchie;Jason H. Moore

  • Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data

    Joshua C. Denny;Lisa Bastarache;Marylyn D. Ritchie;Robert J. Carroll

  • Methods of integrating data to uncover genotype–phenotype interactions

    Marylyn D. Ritchie;Emily R. Holzinger;Ruowang Li;Sarah A. Pendergrass

  • Genetic and Pharmacologic Inactivation of ANGPTL3 and Cardiovascular Disease

    Frederick E Dewey;Viktoria Gusarova;Richard L Dunbar;Colm T O'Dushlaine

  • The eMERGE Network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studies.

    Catherine A McCarty;Rex L Chisholm;Christopher G Chute;Iftikhar J Kullo

  • Genetic determinants of response to warfarin during initial anticoagulation.

    Ute I. Schwarz;Marylyn D. Ritchie;Yuki Bradford;Chun Li

  • Meta-analysis identifies six new susceptibility loci for atrial fibrillation

    Patrick T Ellinor;Kathryn L Lunetta;Christine M Albert;Christine M Albert;Nicole L Glazer

  • The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future

    Omri Gottesman;Helena Kuivaniemi;Gerard Tromp;W. Andrew Faucett

  • Power of multifactor dimensionality reduction for detecting gene‐gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity

    Marylyn D. Ritchie;Lance W. Hahn;Jason H. Moore

  • Inactivating Variants in ANGPTL4 and Risk of Coronary Artery Disease.

    Frederick E. Dewey;Viktoria Gusarova;Colm O'Dushlaine;Omri Gottesman

  • Distribution and clinical impact of functional variants in 50,726 whole-exome sequences from the DiscovEHR study

    Frederick E. Dewey;Michael F. Murray;John D. Overton;Lukas Habegger

  • A genome-wide scan for common genetic variants with a large influence on warfarin maintenance dose

    Gregory M. Cooper;Julie A. Johnson;Taimour Y. Langaee;Hua Feng

  • Different contributions of polymorphisms in VKORC1 and CYP2C9 to intra- and inter-population differences in maintenance dose of warfarin in Japanese, Caucasians and African-Americans

    Harumi Takahashi;Grant R Wilkinson;Edith A Nutescu;Takashi Morita

  • Renin-Angiotensin System Gene Polymorphisms and Atrial Fibrillation

    Chia Ti Tsai;Ling Ping Lai;Jiunn Lee Lin;Fu Tien Chiang

  • Genetic identification of familial hypercholesterolemia within a single U.S. health care system

    Noura S. Abul-Husn;Kandamurugu Manickam;Laney K. Jones;Eric A. Wright

Frequent Co-Authors

Dan M. Roden
Dan M. Roden Vanderbilt University Medical Center
Dana C. Crawford
Dana C. Crawford Case Western Reserve University
Joshua C. Denny
Joshua C. Denny National Institutes of Health
Catherine A. McCarty
Catherine A. McCarty University of Minnesota
Gail P. Jarvik
Gail P. Jarvik University of Washington
Jason H. Moore
Jason H. Moore University of Pennsylvania
Jonathan L. Haines
Jonathan L. Haines Case Western Reserve University
William S. Bush
William S. Bush Case Western Reserve University
David W. Haas
David W. Haas Vanderbilt University Medical Center
David J. Carey
David J. Carey Geisinger Health System

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