Mairead Bermingham
Research Fellow in Epidemiology
- MRC Institute of Genetics and Molecular Medicine
- Diabetes Medical Informatics and Epidemiology Group
Contact details
- Tel: +44 (0)131 651 8557
- Email: mairead.bermingham@igmm.ed.ac.uk
Address
- Street
-
Crewe Road South
- City
- Edinburgh
- Post code
- EH4 2UX
Background
Mairead Bermingham works on the genetic epidemiology of type 1 diabetes within the Scottish Diabetic Research Network Type 1 Diabetes Bioresource (SDRNT1BIO).
Her research expertise and interests include: dental and oral health, type 1 diabetes, obesity, mental health, epidemiology, quantitative genetics, human health across the life course, and translational and personal medicine.
Qualifications
PhD. The multifactorial aetiology of amoebic gill disease in Ireland, National University of Ireland, Cork.
MSc. Quantitative Genetics and Genome Analysis, University of Edinburgh, Scotland.
P.G.Cert. Academic Practice, University of Edinburgh, Scotland.
Research activities
- Use of computational tools in genetic studies of human disease
- IGMM XD Challenge – Bridging Disciplines through Biology
- How to Create a 2D White Board Animation to Illustrate Your Research
- ‘Mighty Mitochondria – Powerhouses of the Cell’ activity
- ‘Connecting codes to cures’ activity
- IGMM 'Science Insights' Work Experience Programme
- Catalyst Editorial workshop: Research integrity
- Next generation seminar: Analytics
- Celebrating your contribution to Scottish Cohort Studies
- Launch of short film: Diabetes and stem cells
Project activity
A pilot study on the genetic epidemiology of oral health disorders with in the Generation Scotland cohort
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Glycosylation of immunoglobulin G is regulated by a large network of genes pleiotropic with inflammatory diseases
DOI: https://doi.org/10.1126/sciadv.aax0301
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An epigenome-wide association study of sex-specific chronological ageing
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A meta-analysis of genome-wide association studies of epigenetic age acceleration
DOI: https://doi.org/10.1371/journal.pgen.1008104
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Identification of novel differentially methylated sites with potential as clinical predictors of impaired respiratory function and COPD
DOI: https://doi.org/10.1016/j.ebiom.2019.03.072
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DNA methylation signatures of impaired respiratory function aids prediction of major depressive disorder in chronic obstructive pulmonary disease
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Leveraging DNA methylation signatures in peripheral blood as predictors of impaired respiratory function and chronic obstructive pulmonary disease.
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Epigenetic signatures of starting and stopping smoking
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Epigenetic prediction of complex traits and death
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N-glycan Profile and Kidney Disease in Type 1 Diabetes
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Fine-mapping host genetic variation underlying outcomes to Mycobacterium bovis infection in dairy cows
DOI: https://doi.org/10.1186/s12864-017-3836-x