Application of Machine Learning approaches to genetic and gene expression data to predict neurodegeneration-related endophenotypes
Lead Research Organisation:
CARDIFF UNIVERSITY
Department Name: School of Medicine
Abstract
The project aims to improve prediction of Alzheimer's disease (AD) and AD-associated endophenotypes using the best available data and machine learning methods, to progress from simplistic exclusive categories to probabilistic and multi-label predictions and employ data-driven approaches to seek novel links between clusters of risk genes and phenotypic variables to generate new insights into aetiologically valid strata.
Organisations
People |
ORCID iD |
Publications
Akingbuwa WA
(2020)
Genetic Associations Between Childhood Psychopathology and Adult Depression and Associated Traits in 42 998 Individuals: A Meta-analysis.
in JAMA psychiatry
Amare AT
(2021)
Association of polygenic score for major depression with response to lithium in patients with bipolar disorder.
in Molecular psychiatry
Baker E
(2020)
Polygenic Risk Scores in Alzheimer's Disease: Current Applications and Future Directions.
in Frontiers in digital health
Bellou E
(2020)
Age-dependent effect of APOE and polygenic component on Alzheimer's disease.
in Neurobiology of aging
Bellou E
(2020)
Polygenic risk and pleiotropy in neurodegenerative diseases.
in Neurobiology of disease
Bracher-Smith M
(2021)
Machine learning for genetic prediction of psychiatric disorders: a systematic review.
in Molecular psychiatry
Caseras X
(2021)
Effects of genomic copy number variants penetrant for schizophrenia on cortical thickness and surface area in healthy individuals: analysis of the UK Biobank.
in The British journal of psychiatry : the journal of mental science
Chambers T
(2022)
Genetic common variants associated with cerebellar volume and their overlap with mental disorders: a study on 33,265 individuals from the UK-Biobank.
in Molecular psychiatry
Coleman JRI
(2020)
Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank.
in Molecular psychiatry
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| NE/W503046/1 | 31/03/2021 | 30/03/2022 | |||
| 1947196 | Studentship | NE/W503046/1 | 30/09/2017 | 20/07/2022 |
| Description | Brilliant Club Tutorials in Schools (South Wales) |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Schools |
| Results and Impact | Activity is based on delivering a series of tutorials based on my PhD research to secondary school aged children. The aim is to teach pupils from disadvantages backgrounds a novel research area whilst developing their confidence and advertising the subject at university level. |
| Year(s) Of Engagement Activity | 2019,2020 |
| Description | Seren Hub Workshops |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Schools |
| Results and Impact | Delivered two undergraduate level workshops to sixth-form aged students at a local college to broaden their horizons and inform them of a novel research area. |
| Year(s) Of Engagement Activity | 2019 |