World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
82
Citations
33950
World Ranking
3628
National Ranking
269

Overview

Joanna M. M. Howson is affiliated with Novo Nordisk in the United Kingdom. Their research spans the fields of Biochemistry, Genetics, and Molecular Biology, with substantial contributions also in Medicine.

The subfields in which they have published include Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine, Hematology, and Epidemiology.

The scientist's research topics encompass Genetic Associations and Epidemiology, Bioinformatics and Genomic Networks, Atherosclerosis and Cardiovascular Diseases, Genomics and Rare Diseases, Blood groups and transfusion, Metabolism and Genetic Disorders, and Diabetes Treatment and Management.

Frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • UNC Libraries
  • Cell
  • Wellcome Open Research

Recent notable papers by Joanna M. M. Howson include:

  • Plasma proteomic associations with genetics and health in the UK Biobank, 2023, Nature
  • A robust and efficient method for Mendelian randomization with hundreds of genetic variants, 2020, Nature Communications
  • The Polygenic and Monogenic Basis of Blood Traits and Diseases, 2020, Cell
  • Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations, 2020, Cell
  • A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits, 2021, Nature Communications

Frequent co-authors working with Joanna M. M. Howson include John Danesh, Stephen Burgess, Praveen Surendran, Adam S. Butterworth, and Emanuele Di Angelantonio.

Best Publications

  • Association of the T-cell regulatory gene CTLA4 with susceptibility to autoimmune disease

    H Ueda;Howson Jmm.;L Esposito;J Heward

  • Robust associations of four new chromosome regions from genome-wide analyses of type 1 diabetes.

    John A. Todd;Neil M. Walker;Jason D. Cooper;Deborah J. Smyth

  • Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.

    Evangelos Evangelou;Evangelos Evangelou;Helen R. Warren;Helen R. Warren;David Mosen-Ansorena;Borbala Mifsud

  • The genetic architecture of type 2 diabetes

    Christian Fuchsberger;Christian Fuchsberger;Jason A. Flannick;Jason A. Flannick;Tanya M. Teslovich;Anubha Mahajan

  • Shared and distinct genetic variants in type 1 diabetes and celiac disease.

    Deborah J. Smyth;Vincent Plagnol;Neil M. Walker;Jason D. Cooper

  • Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls

    Nick Craddock;Matthew E. Hurles;Niall Cardin;Richard D. Pearson

  • Localization of type 1 diabetes susceptibility to the MHC class I genes HLA-B and HLA-A

    Sergey Nejentsev;Joanna M. M. Howson;Neil M. Walker;Jeffrey Szeszko

  • Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations.

    Ming-Huei Chen;Laura M Raffield;Abdou Mousas;Saori Sakaue

  • Replication of an Association Between the Lymphoid Tyrosine Phosphatase Locus (LYP/PTPN22) With Type 1 Diabetes, and Evidence for Its Role as a General Autoimmunity Locus

    Deborah Smyth;Jason D. Cooper;Joanne E. Collins;Joanne M. Heward

  • Association analyses based on false discovery rate implicate new loci for coronary artery disease.

    Christopher P Nelson;Christopher P Nelson;Anuj Goel;Anuj Goel;Adam S Butterworth;Stavroula Kanoni

  • Population structure, differential bias and genomic control in a large-scale, case-control association study.

    David G Clayton;Neil M Walker;Deborah J Smyth;Rebecca Pask

  • Exome-wide association study of plasma lipids in > 300,000 individuals

    Dajiang J Liu;Gina M Peloso;Gina M Peloso;Haojie Yu;Adam S Butterworth;Adam S Butterworth

  • Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk

    Helen R Warren;Evangelos Evangelou;Evangelos Evangelou;Claudia P Cabrera;He Gao

  • Bayesian refinement of association signals for 14 loci in 3 common diseases.

    Julian B. Maller;Gilean McVean;Gilean McVean;Jake Byrnes;Damjan Vukcevic

  • Rare variant in scavenger receptor BI raises HDL cholesterol and increases risk of coronary heart disease

    Zanoni P;Khetarpal Sa;Larach Db;Hancock-Cerutti Wf

  • Association of LPA Variants With Risk of Coronary Disease and the Implications for Lipoprotein(a)-Lowering Therapies A Mendelian Randomization Analysis

    Stephen Burgess;Brian A Ference;Brian A Ference;Brian A Ference;James R Staley;James R Staley;Daniel F Freitag

  • A robust and efficient method for Mendelian randomization with hundreds of genetic variants

    Stephen Burgess;Christopher N Foley;Elias Allara;James R Staley;James R Staley

  • The Polygenic and Monogenic Basis of Blood Traits and Diseases

    Dragana Vuckovic;Dragana Vuckovic;Erik L. Bao;Erik L. Bao;Parsa Akbari;Caleb A. Lareau;Caleb A. Lareau

  • Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

    Evangelos Evangelou;Helen R. Warren;David Mosen-Ansorena;Borbala Mifsu

  • The genetic architecture of type 2 diabetes

    Christian Fuchsberger;Jason Flannick;Tanya M. Teslovich;Anubha Mahajan

Frequent Co-Authors

John Danesh
John Danesh University of Cambridge
Adam S. Butterworth
Adam S. Butterworth University of Cambridge
John A. Todd
John A. Todd University of Oxford
Panos Deloukas
Panos Deloukas Queen Mary University of London
Paul W. Franks
Paul W. Franks Lund University
Danish Saleheen
Danish Saleheen Columbia University
Tonu Esko
Tonu Esko University of Tartu
John C. Chambers
John C. Chambers Guy's and St Thomas' NHS Foundation Trust
Nilesh J. Samani
Nilesh J. Samani University of Leicester
Markus Perola
Markus Perola Finnish Institute for Health and Welfare

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Joanna M. M. Howson

Trending Scientists