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Genetics

D-Index
92
Citations
141168
World Ranking
979
National Ranking
481

Overview

Jonathan Marchini is affiliated with the University of Oxford in the United Kingdom. Their research spans several key areas within biochemistry, genetics, and molecular biology, with a secondary focus on medicine. Their scholarly output demonstrates a concentrated expertise in genetics, molecular biology, epidemiology, infectious diseases, and physiology.

Their main research topics include:

  • Genetic Associations and Epidemiology
  • Genetic Mapping and Diversity in Plants and Animals
  • Genetic and phenotypic traits in livestock
  • Genomics and Rare Diseases
  • Genomic variations and chromosomal abnormalities
  • Epigenetics and DNA Methylation
  • Liver Disease Diagnosis and Treatment

Jonathan Marchini has authored multiple articles published in notable venues. Frequent publication outlets for their work include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Genetics
  • Nature
  • Nature Communications
  • The American Journal of Human Genetics

Recent publications cover a range of topics, exemplified by several influential papers, including:

  • Computationally efficient whole-genome regression for quantitative and binary traits, 2021, Nature Genetics
  • Exome sequencing and analysis of 454,787 UK Biobank participants, 2021, Nature
  • Exome sequencing and characterization of 49,960 individuals in the UK Biobank, 2020, Nature
  • Common and rare variant associations with clonal haematopoiesis phenotypes, 2022, Nature
  • Sequencing of 640,000 exomes identifies GPR75 variants associated with protection from obesity, 2021, Science

Their collaborative network includes frequent coauthors such as:

  • Gonçalo R. Abecasis
  • Aris Baras
  • Jeffrey G. Reid
  • Joelle Mbatchou
  • John D. Overton

Best Publications

  • A global reference for human genetic variation.

    Adam Auton;Gonçalo R. Abecasis;David M. Altshuler;Richard M. Durbin

  • Table S2: Trans-factors and trinucleotide repeat instability Trans-factor

    Arturo López Castel;John D Cleary;Christopher E Pearson

  • Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

    Paul R. Burton;David G. Clayton;Lon R. Cardon;Nick Craddock

  • The UK Biobank resource with deep phenotyping and genomic data

    Clare Bycroft;Colin Freeman;Desislava Petkova;Desislava Petkova;Gavin Band

  • The International HapMap Project

    John W. Belmont;Paul Hardenbol;Thomas D. Willis;Fuli Yu

  • A haplotype map of the human genome

    John W. Belmont;Andrew Boudreau;Suzanne M. Leal;Paul Hardenbol

  • A second generation human haplotype map of over 3.1 million SNPs

    Kelly A. Frazer;Dennis G. Ballinger;David R. Cox;David A. Hinds

  • A flexible and accurate genotype imputation method for the next generation of genome-wide association studies.

    Bryan N. Howie;Peter Donnelly;Peter Donnelly;Jonathan Marchini

  • A reference panel of 64,976 haplotypes for genotype imputation

    Shane McCarthy;Sayantan Das;Warren Kretzschmar;Olivier Delaneau

  • Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease

    Jeffrey C. Barrett;Sarah Hansoul;Dan L. Nicolae;Judy H. Cho

  • Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

    Naomi R. Wray;Stephan Ripke;Stephan Ripke;Stephan Ripke;Manuel Mattheisen;MacIej Trzaskowski

  • A new multipoint method for genome-wide association studies by imputation of genotypes

    Jonathan Marchini;Bryan Howie;Simon Myers;Gil McVean

  • Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes

    Eleftheria Zeggini;Michael N. Weedon;Cecilia M. Lindgren;Timothy M. Frayling

  • Genome-wide detection and characterization of positive selection in human populations

    Pardis C. Sabeti;Pardis C. Sabeti;Patrick Varilly;Patrick Varilly;Ben Fry;Jason Lohmueller

  • Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes

    E Zeggini;L J Scott;R Saxena;B F Voight

  • Human polymorphism at microRNAs and microRNA target sites.

    Liuqing Yang;Chunru Lin;Chunyu Jin;Joy C. Yang

  • A linear complexity phasing method for thousands of genomes

    Olivier Delaneau;Jonathan Marchini;Jean-François Zagury

  • Fast and accurate genotype imputation in genome-wide association studies through pre-phasing

    Bryan Howie;Christian Fuchsberger;Matthew Stephens;Jonathan Marchini;Jonathan Marchini

  • Genotype imputation for genome-wide association studies

    Jonathan Marchini;Bryan Howie

  • Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.

    Anubha Mahajan;Daniel Taliun;Matthias Thurner;Neil R. Robertson

Frequent Co-Authors

Peter Donnelly
Peter Donnelly University of Oxford
Andrew P. Morris
Andrew P. Morris University of Liverpool
Gonçalo R. Abecasis
Gonçalo R. Abecasis University of Michigan–Ann Arbor
Olivier Delaneau
Olivier Delaneau University of Lausanne
Eleftheria Zeggini
Eleftheria Zeggini Technical University of Munich
Martin D. Tobin
Martin D. Tobin University of Leicester
Cecilia M. Lindgren
Cecilia M. Lindgren University of Oxford
Panos Deloukas
Panos Deloukas Queen Mary University of London
Timothy M. Frayling
Timothy M. Frayling University of Geneva

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