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Biology and Biochemistry

D-Index
93
Citations
38555
World Ranking
2075
National Ranking
135

Overview

Riccardo E. Marioni is affiliated with the University of Edinburgh in the United Kingdom. Their research spans across biochemistry, genetics, molecular biology, and medicine, with a significant focus on epigenetics and DNA methylation.

Their recent published papers include: Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection (2020, Cell Systems); Genomic and phenotypic insights from an atlas of genetic effects on DNA methylation (2021, Nature Genetics); Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease (2022, Cell Genomics); Risk prediction of late-onset Alzheimer's disease implies an oligogenic architecture (2020, Nature Communications); and Epigenetic measures of ageing predict the prevalence and incidence of leading causes of death and disease burden (2020, Clinical Epigenetics).

Their frequent co-authors include:

  • Daniel L. McCartney
  • Archie Campbell
  • Simon R. Cox
  • Andrew M. McIntosh
  • Robert F. Hillary

Riccardo E. Marioni's work is commonly found in publication venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Clinical Epigenetics
  • UNC Libraries
  • Zenodo (CERN European Organization for Nuclear Research)

Their main fields of study are:

  • Biochemistry, Genetics and Molecular Biology
  • Medicine

Within these fields, their subfields of study include:

  • Molecular Biology
  • Genetics
  • Pediatrics, Perinatology and Child Health
  • Physiology
  • Sociology and Political Science

Main topics covered in their research are:

  • Epigenetics and DNA Methylation
  • Genetic Associations and Epidemiology
  • Birth, Development, and Health
  • Health, Environment, Cognitive Aging
  • Intergenerational Family Dynamics and Caregiving
  • Genetic Syndromes and Imprinting
  • RNA modifications and cancer

Best Publications

  • Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

    James J. Lee;Robbee Wedow;Aysu Okbay;Edward Kong

  • Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions

    David M. Howard;Mark J. Adams;Toni Kim Clarke;Jonathan D. Hafferty

  • Age-associated cognitive decline

    Ian J Deary;Janie Corley;Alan J Gow;Sarah E Harris

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

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

  • DNA methylation age of blood predicts all-cause mortality in later life.

    Riccardo E Marioni;Riccardo E Marioni;Sonia Shah;Allan F McRae;Brian H Chen

  • DNA methylation-based measures of biological age: meta-analysis predicting time to death

    Brian H. Chen;Riccardo E. Marioni;Riccardo E. Marioni;Elena Colicino;Marjolein J. Peters

  • Epigenetic Signatures of Cigarette Smoking

    Roby Joehanes;Allan C. Just;Riccardo E. Marioni;Luke C. Pilling

  • Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits.

    Andrew D. Grotzinger;Mijke Rhemtulla;Ronald de Vlaming;Ronald de Vlaming;Stuart J. Ritchie

  • Brain age predicts mortality

    J H Cole;S J Ritchie;M E Bastin;M C Valdés Hernández

  • Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences

    Richard Karlsson Linnér;Richard Karlsson Linnér;Pietro Biroli;Edward Kong;S. Fleur W. Meddens;S. Fleur W. Meddens

  • Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function

    Gail Davies;Max Lam;Sarah E. Harris;Joey W. Trampush

  • DNA methylation aging clocks: challenges and recommendations

    Christopher G Bell;Robert Lowe;Peter D Adams;Peter D Adams;Andrea A Baccarelli

  • Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways

    David M. Howard;Mark J. Adams;Masoud Shirali;Toni Kim Clarke

  • GWAS on family history of Alzheimer’s disease

    Riccardo E. Marioni;Sarah E. Harris;Qian Zhang;Allan F. McRae

  • The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936

    Riccardo E Marioni;Sonia Shah;Allan F McRae;Stuart J Ritchie

  • Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection.

    Christoph B. Messner;Vadim Demichev;Vadim Demichev;Daniel Wendisch;Laura Michalick

  • Cognitive function, dementia and type 2 diabetes mellitus in the elderly.

    Mark W. J. Strachan;Rebecca M. Reynolds;Riccardo E. Marioni;Jacqueline F. Price

  • Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53 949)

    G. Davies;N. Armstrong;J. C. Bis;J. Bressler

  • Genome-wide association study of cognitive functions and educational attainment in UK Biobank ( N =112 151)

    G. Davies;R. E. Marioni;R. E. Marioni;D. C. Liewald;W. D. Hill

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

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

Frequent Co-Authors

Ian J. Deary
Ian J. Deary University of Edinburgh
Andrew M. McIntosh
Andrew M. McIntosh University of Edinburgh
Sarah E. Harris
Sarah E. Harris University of Edinburgh
David J. Porteous
David J. Porteous University of Edinburgh
Caroline Hayward
Caroline Hayward University of Edinburgh
Peter M. Visscher
Peter M. Visscher University of Oxford
Archie Campbell
Archie Campbell University of Edinburgh
Allan F. McRae
Allan F. McRae University of Queensland
John M. Starr
John M. Starr University of Edinburgh
Naomi R. Wray
Naomi R. Wray University of Queensland

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