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Genetics

D-Index
69
Citations
72819
World Ranking
2301
National Ranking
287

Overview

Nigel W. Rayner is affiliated with the University of Oxford in the United Kingdom. Their research focus spans multiple disciplines within biochemistry, genetics, molecular biology, and medicine. Their work primarily explores genetic associations and epidemiology, bioinformatics and genomic networks, cancer-related molecular mechanisms, pancreatic function and diabetes, gene expression related to cancer classification, nutrition and genetics, as well as epigenetics and DNA methylation.

The scientist has contributed notably to several main and subfields:

  • Biochemistry, Genetics and Molecular Biology
  • Medicine

  • Genetics
  • Molecular Biology
  • Cancer Research
  • Surgery
  • Cardiology and Cardiovascular Medicine

The research topics Nigel W. Rayner has focused on include:

  • Genetic Associations and Epidemiology
  • Bioinformatics and Genomic Networks
  • Cancer-related molecular mechanisms research
  • Pancreatic function and diabetes
  • Gene expression and cancer classification
  • Nutrition, Genetics, and Disease
  • Epigenetics and DNA Methylation

Nigel W. Rayner frequently collaborates with several researchers, including Lorraine Southam, Niels Grarup, Konstantinos Hatzikotoulas, Anubha Mahajan, and Alicia Huerta-Chagoya.

Their recent scholarly output includes the following papers:

  • "Genetic drivers of heterogeneity in type 2 diabetes pathophysiology," 2024, published in Nature
  • "Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation," 2022, Nature Genetics
  • "Extensive identification of genes involved in congenital and structural heart disorders and cardiomyopathy," 2022, Nature Cardiovascular Research
  • "Genome-Wide Association Study of Peripheral Artery Disease," 2021, Circulation Genomic and Precision Medicine
  • "Whole-genome sequencing analysis of the cardiometabolic proteome," 2020, Nature Communications

They have published regularly in several prominent venues, including:

  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Diabetes
  • Nature Genetics
  • Circulation Genomic and Precision Medicine

Best Publications

  • 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

  • A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity

    Timothy M. Frayling;Nicholas J. Timpson;Michael N. Weedon;Eleftheria Zeggini;Eleftheria Zeggini;Eleftheria Zeggini

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

    Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda

  • 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

  • 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

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

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

  • 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

  • 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

  • Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

    Benjamin F. Voight;Benjamin F. Voight;Laura J. Scott;Valgerdur Steinthorsdottir;Andrew P. Morris

  • 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

  • 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

  • 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

  • Genome-wide association study identifies eight loci associated with blood pressure

    Christopher Newton-Cheh;Christopher Newton-Cheh;Toby Johnson;Toby Johnson;Vesela Gateva;Martin D. Tobin

  • Association scan of 14,500 nonsynonymous SNPs in four diseases identifies autoimmunity variants

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

  • 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

  • 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

  • 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

  • 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

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

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

Frequent Co-Authors

Eleftheria Zeggini
Eleftheria Zeggini Technical University of Munich
Cecilia M. Lindgren
Cecilia M. Lindgren University of Oxford
Philippe Froguel
Philippe Froguel Imperial College London
Timothy M. Frayling
Timothy M. Frayling University of Geneva
Inês Barroso
Inês Barroso University of Exeter
Andrew P. Morris
Andrew P. Morris University of Liverpool
Markus Perola
Markus Perola Finnish Institute for Health and Welfare
Inga Prokopenko
Inga Prokopenko University of Surrey
Kari Stefansson
Kari Stefansson deCODE Genetics (Iceland)

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