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Mika Kähönen

Mika Kähönen

D-Index & Metrics

Medicine

D-Index
142
Citations
94078
World Ranking
1543
National Ranking
18

Overview

Mika Kähönen is a researcher affiliated with Tampere University in Finland. Their work primarily spans the fields of Medicine and Biochemistry, Genetics and Molecular Biology, with notable contributions in subfields such as Cardiology and Cardiovascular Medicine, Genetics, Molecular Biology, Pediatrics, Perinatology and Child Health, and Physiology.

Their research covers a variety of topics including Genetic Associations and Epidemiology, Birth, Development, and Health, Cardiovascular Health and Disease Prevention, Epigenetics and DNA Methylation, Blood Pressure and Hypertension Studies, Heart Rate Variability and Autonomic Control, and Diabetes, Cardiovascular Risks, and Lipoproteins.

Recent papers authored or co-authored by Mika Kähönen include:

  • FinnGen provides genetic insights from a well-phenotyped isolated population, 2023, Nature
  • Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression, 2021, Nature Genetics
  • 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
  • FinnGen: Unique genetic insights from combining isolated population and national health register data, 2022, bioRxiv (Cold Spring Harbor Laboratory)

Frequent co-authors collaborating with Mika Kähönen are:

  • Terho Lehtimäki
  • Olli T. Raitakari
  • Jorma Viikari
  • Markus Juonala
  • Leo-Pekka Lyytikäinen

Their work has been published notably in journals and venues such as:

  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Atherosclerosis
  • Scientific Reports
  • Nature Communications

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

  • Hundreds of variants clustered in genomic loci and biological pathways affect human height

    Hana Lango Allen;Karol Estrada;Guillaume Lettre;Sonja I. Berndt

  • Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

    Georg B. Ehret;Georg B. Ehret;Georg B. Ehret;Patricia B. Munroe;Kenneth M. Rice;Murielle Bochud

  • Cardiovascular risk factors in childhood and carotid artery intima-media thickness in adulthood: the Cardiovascular Risk in Young Finns Study.

    Olli T. Raitakari;Markus Juonala;Mika Kähönen;Leena Taittonen

  • Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression

    Urmo Võsa;Annique Claringbould;Annique Claringbould;Harm-Jan Westra;Marc Jan Bonder

  • Integrative approaches for large-scale transcriptome-wide association studies.

    Alexander Gusev;Alexander Gusev;Arthur Ko;Huwenbo Shi;Gaurav Bhatia;Gaurav Bhatia

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

    Panos Deloukas;Stavroula Kanoni;Christina Willenborg;Martin Farrall

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

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

  • 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

  • Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture

    Karol Estrada;Unnur Styrkarsdottir;Evangelos Evangelou;Yi-Hsiang Hsu

  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

    E. K. Speliotes;C. J. Willer;S. I. Berndt;K. L. Monda

  • Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

    Mary F. Feitosa;Aldi T. Kraja;Daniel I. Chasman;Yun J. Sung

  • Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution

    Iris M. Heid;Anne U. Jackson;Joshua C. Randall;Tthomas W. Winkler

  • 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 association analyses identify 18 new loci associated with serum urate concentrations

    Anna Köttgen;Anna Köttgen;Eva Albrecht;Alexander Teumer;Veronique Vitart

  • Cohort profile: The Cardiovascular Risk in Young Finns Study

    Olli T Raitakari;Markus Juonala;Tapani Rönnemaa;Liisa Keltikangas-Järvinen

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

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

  • Hundreds of variants clustered in genomic loci and biological pathways affect human height

    H. Lango Allen;K. Estrada;G. Lettre;S. I. Berndt

  • 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

Frequent Co-Authors

Olli T. Raitakari
Olli T. Raitakari Turku University Hospital
Terho Lehtimäki
Terho Lehtimäki Tampere University
Jorma Viikari
Jorma Viikari Turku University Hospital
Markus Juonala
Markus Juonala Turku University Hospital
Markus Perola
Markus Perola Finnish Institute for Health and Welfare
Marjo-Riitta Järvelin
Marjo-Riitta Järvelin Imperial College London
André G. Uitterlinden
André G. Uitterlinden Erasmus University Rotterdam
Bruce M. Psaty
Bruce M. Psaty University of Washington
Albert Hofman
Albert Hofman Harvard University
Veikko Salomaa
Veikko Salomaa Finnish Institute for Health and Welfare

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