Dr Daniel McCartney
Senior Bioinformatics Analyst
Contact details
- Email: daniel.mccartney@ed.ac.uk
Address
- Street
-
Centre for Genomic and Experimental Medicine
Institute of Genetics and Cancer
University of Edinburgh
Crewe Rd South - City
- Edinburgh
- Post code
- EH4 2XU
Background
I am a bioinformatics analyst working between the Marioni research group and Generation Scotland. I obtained my PhD from the University of Edinburgh where I examined the epigenomic effects of a chromosomal translocation linked to major mental illness in a large Scottish family (supervisor: Dr. Kathy Evans). Following my PhD, I worked with an Edinburgh-based bioinformatics company before returning to the University of Edinburgh to undertake an Alzheimer's Research UK-funded postdoctoral position with Prof. Riccardo Marioni. My research primarily focuses on omics-based prediction of disease risk and complex traits using genome-wide DNA methylation and genotype data.
Qualifications
PhD - Molecular and Clinical Medicine (2017), The University of Edinburgh
MSc - Biomedical Sciences (2012), The University of Edinburgh
BA (Mod.) - Genetics (2011), Trinity College Dublin
-
Development and validation of DNA Methylation scores in two European cohorts augment 10-year risk prediction of type 2 diabetes
In:
Nature Aging
DOI: https://doi.org/10.1038/s43587-023-00391-4
Research output: Contribution to Journal › Article (Published) -
Epigenome-wide association study reveals CpG sites associated with thyroid function and regulatory effects on KLF9
In:
Thyroid Journal Program, vol. 33, pp. 301–311
DOI: https://doi.org/10.1089/thy.2022.0373
Research output: Contribution to Journal › Article (Published) -
Refining epigenetic prediction of chronological and biological age
In:
Genome Medicine, vol. 15
DOI: https://doi.org/10.1186/s13073-023-01161-y
Research output: Contribution to Journal › Article (Published) -
Metabolomic investigation of major depressive disorder identifies a potentially causal association with polyunsaturated fatty acids
In:
Biological Psychiatry
DOI: https://doi.org/10.1016/j.biopsych.2023.01.027
Research output: Contribution to Journal › Article (E-pub ahead of print) -
DNA methylation analysis is used to identify novel genetic loci associated with circulating fibrinogen levels in blood
In:
Journal of Thrombosis and Haemostasis
DOI: https://doi.org/10.1016/j.jtha.2023.01.015
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Opioid medication use and blood DNA methylation: epigenome-wide association meta-analysis
In:
Epigenomics
DOI: https://doi.org/10.2217/epi-2022-0353
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Life-course exposure to air pollution and biological ageing in the Lothian Birth Cohort 1936
In:
Environment International, vol. 169
DOI: https://doi.org/10.1016/j.envint.2022.107501
Research output: Contribution to Journal › Article (Published) -
Feasibility and ethics of using data from the Scottish newborn blood spot archive for research
(8 pages)
In:
Communications Medicine, vol. 2
DOI: https://doi.org/10.1038/s43856-022-00189-2
Research output: Contribution to Journal › Article (Published) -
Identification of influential probe types in epigenetic predictions of human traits: implications for microarray design
In:
Clinical Epigenetics
DOI: https://doi.org/10.1186/s13148-022-01320-9
Research output: Contribution to Journal › Article (Published) -
Integrated methylome and phenome study of the circulating proteome reveals markers pertinent to brain health
In:
Nature Communications, vol. 13, pp. 4670
DOI: https://doi.org/10.1038/s41467-022-32319-8
Research output: Contribution to Journal › Article (Published) -
Pulmonary function and blood DNA methylation: A multi-ancestry epigenome-wide association meta-analysis
In:
American Journal of Respiratory and Critical Care Medicine, vol. 206, pp. 321-336
DOI: https://doi.org/10.1164/rccm.202108-1907OC
Research output: Contribution to Journal › Article (Published) -
Additive effects of stress and alcohol exposure on accelerated epigenetic aging in alcohol use disorder
In:
Biological Psychiatry
DOI: https://doi.org/10.1016/j.biopsych.2022.06.036
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Alcohol use disorder is associated with DNA methylation-based shortening of telomere length and regulated by TESPA1: implications for aging
In:
Molecular Psychiatry
DOI: https://doi.org/10.1038/s41380-022-01624-5
Research output: Contribution to Journal › Article (E-pub ahead of print) -
TeenCovidLife: a resource to understand the impact of the COVID-19 pandemic on adolescents in Scotland
In:
Wellcome Open Research , vol. 6, pp. 277
DOI: https://doi.org/10.12688/wellcomeopenres.17252.2
Research output: Contribution to Journal › Article (Published) -
Genome and epigenome wide studies of plasma protein biomarkers for Alzheimer’s disease implicate TBCA and TREM2 in disease risk
In:
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, vol. 14
DOI: https://doi.org/10.1002/dad2.12280
Research output: Contribution to Journal › Article (Published) -
Life-course exposure to air pollution and biological ageing in the Lothian Birth Cohort 1936
DOI: https://doi.org/10.1101/2022.04.17.22273946
Research output: › Preprint (Published) -
DNA methylation in relation to gestational age and brain dysmaturation in preterm infants
In:
Brain Communications, vol. 4
DOI: https://doi.org/10.1093/braincomms/fcac056
Research output: Contribution to Journal › Article (E-pub ahead of print) -
The genetic and epigenetic profile of serum S100β in the Lothian Birth Cohort 1936 and its relationship to Alzheimer’s disease
In:
Wellcome Open Research , vol. 6, pp. 306
DOI: https://doi.org/10.12688/wellcomeopenres.17322.1
Research output: Contribution to Journal › Article (Published) -
Blood-based epigenome-wide analyses of cognitive abilities
In:
Genome Biology, vol. 23
DOI: https://doi.org/10.1186/s13059-021-02596-5
Research output: Contribution to Journal › Article (Published) -
Epigenetic scores for the circulating proteome as tools for disease prediction
(24 pages)
In:
eLIFE, vol. 11
DOI: https://doi.org/10.7554/eLife.71802
Research output: Contribution to Journal › Article (Published)