Jonathan Marchini

ORCID: 0000-0003-0610-8322
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About
Contact & Profiles
Research Areas
  • Genetic Associations and Epidemiology
  • Genetic Mapping and Diversity in Plants and Animals
  • Genetic and phenotypic traits in livestock
  • Gene expression and cancer classification
  • Genomics and Rare Diseases
  • Epigenetics and DNA Methylation
  • Genomic variations and chromosomal abnormalities
  • Bioinformatics and Genomic Networks
  • Nutrition, Genetics, and Disease
  • BRCA gene mutations in cancer
  • Cancer Genomics and Diagnostics
  • RNA modifications and cancer
  • Birth, Development, and Health
  • Advanced MRI Techniques and Applications
  • Functional Brain Connectivity Studies
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Asthma and respiratory diseases
  • Advanced Neuroimaging Techniques and Applications
  • Genetics and Neurodevelopmental Disorders
  • Cancer-related molecular mechanisms research
  • Myeloproliferative Neoplasms: Diagnosis and Treatment
  • Acute Myeloid Leukemia Research
  • Genetic factors in colorectal cancer
  • Diabetes and associated disorders
  • COVID-19 Clinical Research Studies

Regeneron (United States)
2018-2025

University of Oxford
2014-2023

Division of Program Coordination Planning and Strategic Initiatives
2022

King's College London
2019-2021

University College London
2021

Centre for Human Genetics
2007-2019

National Institute for Health Research
2019

NIHR Biomedical Research Centre at The Royal Marsden and the ICR
2019

National Health Service
2019

Oxford Centre for Diabetes, Endocrinology and Metabolism
2007

Abstract The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data collected on approximately 500,000 individuals from across the United Kingdom, aged between 40 69 at recruitment. open resource unique in its size scope. A rich variety of health-related information available each participant, including biological measurements, lifestyle indicators, biomarkers blood urine, imaging body brain. Follow-up provided by linking health medical records. Genome-wide...

10.1038/s41586-018-0579-z article EN cc-by Nature 2018-10-02

Genotype imputation methods are now being widely used in the analysis of genome-wide association studies. Most analyses to date have HapMap as a reference dataset, but new panels (such controls genotyped on multiple SNP chips and densely typed samples from 1,000 Genomes Project) will soon allow broader range SNPs be imputed with higher accuracy, thereby increasing power. We describe genotype method (IMPUTE version 2) that is designed address challenges presented by these datasets. The main...

10.1371/journal.pgen.1000529 article EN cc-by PLoS Genetics 2009-06-18

The molecular mechanisms involved in the development of type 2 diabetes are poorly understood. Starting from genome-wide genotype data for 1924 diabetic cases and 2938 population controls generated by Wellcome Trust Case Control Consortium, we set out to detect replicated association signals through analysis 3757 additional 5346 integration our findings with equivalent other international consortia. We detected susceptibility loci around genes CDKAL1, CDKN2A/CDKN2B, IGF2BP2 confirmed...

10.1126/science.1142364 article EN Science 2007-04-27
Paul R. Burton David Clayton Lon R. Cardon Nick Craddock Panos Deloukas and 95 more Audrey Duncanson Dominic Kwiatkowski Mark I. McCarthy Willem H. Ouwehand Nilesh J. Samani John A. Todd Peter Donnelly Jeffrey C. Barrett Dan Davison Doug Easton David M. Evans H.T. Leung Jonathan Marchini Andrew P. Morris Chris C. A. Spencer Martin D. Tobin Antony Attwood James P. Boorman Barbara Cant Ursula Everson Judith M. Hussey Jennifer D. Jolley Alexandra S. Knight Kerstin Koch Elizabeth Meech Sarah Nutland C V Prowse H. E. Stevens Niall Taylor Graham R. Walters Neil Walker Nicholas A. Watkins Thilo Winzer Richard W. Jones Wendy L. McArdle Susan M. Ring David P. Strachan Marcus Pembrey Gerome Breen David St Clair Sian Caesar Katharine Gordon-Smith Lisa Jones Christine Fraser Elaine Green Detelina Grozeva Marian L. Hamshere Peter Holmans Ian Jones George Kirov Valentina Moskivina Ivan Nikolov Michael O’Donovan Michael J. Owen David Collier Amanda Elkin Anne Farmer Richard Williamson Peter McGuffin Allan H. Young I. Nicol Ferrier Stephen G. Ball Anthony J. Balmforth Jennifer H. Barrett D. Timothy Bishop Mark M. Iles Azhar Maqbool Nadira Yuldasheva Alistair S. Hall Peter S. Braund Richard J. Dixon Massimo Mangino Suzanne Stevens John R. Thompson Francesca Bredin Mark Tremelling Miles Parkes Hazel E. Drummond Charlie W. Lees Elaine R. Nimmo Jack Satsangi Sheila Fisher Alastair Forbes Cathryn M. Lewis Clive M. Onnie Natalie J. Prescott Jeremy Sanderson Christopher G Matthew Jamie Barbour Mohamed Khalid Mohiuddin Catherine E Todhunter John Mansfield Tariq Ahmad Fraser Cummings Derek P. Jewell

10.1038/ng.2007.17 article EN Nature Genetics 2007-10-21
Ruth J. F. Loos Cecilia M. Lindgren Shengxu Li Eleanor Wheeler Jing Hua Zhao and 95 more Inga Prokopenko Michael Inouye Rachel M. Freathy Antony Attwood J. Beckmann Sonja I Berndt Sven Bergmann Amanda J. Bennett Sheila Bingham Murielle Bochud Matthew A. Brown Stéphane Cauchi John Connell Cyrus Cooper George Davey Smith Ian N.M. Day Christian Dina Subhajyoti De Emmanouil T. Dermitzakis Alex S. F. Doney Katherine S. Elliott Paul Elliott David M. Evans I. Sadaf Farooqi Philippe Froguel Jilur Ghori Christopher J. Groves Rhian Gwilliam David Hadley Alistair S. Hall Andrew T. Hattersley Johannes Hebebrand Iris M. Heid Blanca Herrera Anke Hinney Sarah Hunt Marjo‐Riitta Järvelin Toby Johnson Jennifer D M Jolley Fredrik Karpe Andrew Keniry Kay-Tee Khaw Robert Luben Massimo Mangino Jonathan Marchini Wendy L. McArdle Ralph McGinnis Stephen Eyre Patricia B. Munroe Andrew D Morris Andy Ness Matthew Neville Alexandra C. Nica Ken K. Ong Stephen O’Rahilly Katharine R. Owen Nicholette D. Palmer Konstantinos A. Papadakis Simon Potter Anneli Pouta Lu Qi Joshua C. Randall Nigel W. Rayner Susan M. Ring Manjinder S. Sandhu André Scherag Matthew Sims Kijoung Song Nicole Soranzo Elizabeth K. Speliotes Holly Syddall Sarah A. Teichmann Nicholas J. Timpson Jonathan H. Tobias Manuela Uda Carla Ivane Ganz Vogel Chris Wallace Dawn Waterworth Michael N. Weedon Cristen J. Willer Vicki Wraight Xin Yuan Eleftheria Zeggini Joel N. Hirschhorn David P. Strachan Willem H. Ouwehand Mark J. Caulfield Nilesh J. Samani Timothy M. Frayling Péter Vollenweider Gérard Waeber Vincent Mooser Panos Deloukas Mark I. McCarthy Nicholas J. Wareham

10.1038/ng.140 article EN Nature Genetics 2008-05-04

Many common variants have been associated with hematological traits, but identification of causal genes and pathways has proven challenging. We performed a genome-wide association analysis in the UK Biobank INTERVAL studies, testing 29.5 million genetic for 36 red cell, white platelet properties 173,480 European-ancestry participants. This effort yielded hundreds low frequency (<5%) rare (<1%) strong impact on blood cell phenotypes. Our data highlight general allelic architecture complex...

10.1016/j.cell.2016.10.042 article EN cc-by Cell 2016-11-01

The contribution of rare and low-frequency variants to human traits is largely unexplored. Here we describe insights from sequencing whole genomes (low read depth, 7×) or exomes (high 80×) nearly 10,000 individuals population-based disease collections. In extensively phenotyped cohorts characterize over 24 million novel sequence variants, generate a highly accurate imputation reference panel identify alleles associated with levels triglycerides (APOB), adiponectin (ADIPOQ) low-density...

10.1038/nature14962 article EN cc-by-nc-sa Nature 2015-09-14

Abstract Genotype imputation is a statistical technique that often used to increase the power and resolution of genetic association studies. Imputation methods work by using haplotype patterns in reference panel predict unobserved genotypes study dataset, number approaches have been proposed for choosing subsets haplotypes will maximize accuracy given population. These selection strategies become harder apply interpret as sequencing efforts like 1000 Genomes Project produce larger more...

10.1534/g3.111.001198 article EN cc-by G3 Genes Genomes Genetics 2011-11-01

10.1038/nature08979 article EN Nature 2010-03-30

The genetic architecture of brain structure and function is largely unknown. To investigate this, we carried out genome-wide association studies 3,144 functional structural imaging phenotypes from UK Biobank (discovery dataset 8,428 subjects). Here show that many these are heritable. We identify 148 clusters associations between single nucleotide polymorphisms replicate at P < 0.05, when would expect 21 to by chance. Notable significant, interpretable include: iron transport storage genes,...

10.1038/s41586-018-0571-7 article EN cc-by Nature 2018-10-02

Abstract The UK Biobank project is a large prospective cohort study of ~500,000 individuals from across the United Kingdom, aged between 40-69 at recruitment. A rich variety phenotypic and health-related information available on each participant, making resource unprecedented in its size scope. Here we describe genome-wide genotype data (~805,000 markers) collected all quality control procedures. Genotype this scale offers novel opportunities for assessing issues, although wide range...

10.1101/166298 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2017-07-20
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