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Biology and Biochemistry

D-Index
69
Citations
42632
World Ranking
7204
National Ranking
549

Overview

Stavroula Kanoni is affiliated with Queen Mary University of London in the United Kingdom. Their research spans several interconnected areas within biochemistry, genetics, and molecular biology, with significant contributions across genetics, molecular biology, epidemiology, surgery, and cardiology and cardiovascular medicine.

Their recent scholarly output includes papers published in high-impact journals such as Nature and Nature Genetics. Key publications include "Mapping the human genetic architecture of COVID-19" (2021, Nature), "The power of genetic diversity in genome-wide association studies of lipids" (2021, Nature), "Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants" (2022, Nature Genetics), "Genetic drivers of heterogeneity in type 2 diabetes pathophysiology" (2024, Nature), and "Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals" (2020, Nature Genetics).

Their research topics cover multiple aspects of genetic associations and epidemiology, liver disease diagnosis and treatment, nutrition, genetics, and disease interactions, RNA modifications related to cancer, epigenetics and DNA methylation, bioinformatics with genomic networks, and cancer-related molecular mechanisms.

  • Genetic Associations and Epidemiology
  • Liver Disease Diagnosis and Treatment
  • Nutrition, Genetics, and Disease
  • RNA modifications and cancer
  • Epigenetics and DNA Methylation
  • Bioinformatics and Genomic Networks
  • Cancer-related molecular mechanisms research

Their frequent coauthors include Guðmar Þorleifsson, Anubha Mahajan, Anuj Goel, Ani Manichaikul, and Carolina Medina-Gómez.

Kanoni's work is disseminated through several research venues, with repeated contributions to the University of Groningen research database, UNC Libraries, bioRxiv hosted by Cold Spring Harbor Laboratory, as well as Nature Genetics and Nature Communications.

  • University of Groningen research database (University of Groningen / Centre for Information Technology)
  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Genetics
  • Nature Communications

The primary fields of study represented in Kanoni's research are biochemistry, genetics, and molecular biology, supplemented by medicine. Subfields of focus include genetics, molecular biology, epidemiology, surgery, and cardiology and cardiovascular medicine.

  • Biochemistry, Genetics and Molecular Biology
  • Medicine

  • Genetics
  • Molecular Biology
  • Epidemiology
  • Surgery
  • Cardiology and Cardiovascular Medicine

Best Publications

  • Discovery and refinement of loci associated with lipid levels

    Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta;Gina M. Peloso;Gina M. Peloso;Gina M. Peloso

  • New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

    Josée Dupuis;Josée Dupuis;Claudia Langenberg;Inga Prokopenko;Richa Saxena;Richa Saxena

  • A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease

    M Nikpay;A Goel;Won H-H.;L M Hall

  • 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

  • New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (vol 42, pg 105, 2010)

    J Dupuis;C Langenberg;I Prokopenko;R Saxena

  • Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

    Andrew P Morris;Benjamin F Voight;Benjamin F Voight;Tanya M Teslovich;Teresa Ferreira

  • A genome-wide association search for type 2 diabetes genes in African Americans.

    N D Palmer;C W McDonough;P J Hicks;B H Roh

  • Large-scale association analysis identifies new risk loci for coronary artery disease

    Panos Deloukas;Stavroula Kanoni;Christina Willenborg;Martin Farrall

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

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

  • Genome-wide association study identifies 74 loci associated with educational attainment

    Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee

  • Common variants associated with plasma triglycerides and risk for coronary artery disease

    Ron Do;Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta

  • GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment

    Cornelius A. Rietveld;Sarah E. Medland;Jaime Lane Derringer;Jian Yang

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

  • A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance.

    Alisa K. Manning;Alisa K. Manning;Alisa K. Manning;Robert A. Scott;Jonna L. Grimsby

  • Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

    Robert A Scott;Vasiliki Lagou;Ryan P Welch;Eleanor Wheeler

  • Loss-of-function mutations in APOC3, triglycerides, and coronary disease

    Jacy Crosby;Gina M. Peloso;Gina M. Peloso;Paul L. Auer;David R. Crosslin

  • A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease

    Majid Nikpay;Anuj Goel;Hong-Hee Won;Leanne M. Hall

  • Erratum: New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (Nature Genetics (2010) 42 (105-116))

    Josée Dupuis;Claudia Langenberg;Inga Prokopenko;Richa Saxena

  • Genome-wide association study identifies 74 loci associated with educational attainment

    Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

Frequent Co-Authors

Panos Deloukas
Panos Deloukas Queen Mary University of London
George Dedoussis
George Dedoussis Harokopio University
Markus Perola
Markus Perola Finnish Institute for Health and Welfare
Paul W. Franks
Paul W. Franks Lund University
Erik Ingelsson
Erik Ingelsson Stanford University
Tonu Esko
Tonu Esko University of Tartu
Nicholas J. Wareham
Nicholas J. Wareham University of Cambridge
Veikko Salomaa
Veikko Salomaa Finnish Institute for Health and Welfare
Nilesh J. Samani
Nilesh J. Samani University of Leicester
Ruth J. F. Loos
Ruth J. F. Loos University of Copenhagen

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