Principal Investigator: Dr Albert Tenesa
Department: Roslin Institute
Institution: University of Edinburgh
University of Edinburgh, Roslin Institute, Easter Bush, Roslin, EH25 9RGTags: 7908, cognition, genetics, GWAS, heritability, prediction
1a: The aim of the current study is to gain further understanding of the genetic
factors that underlie human cognition and cognitive decline by identifying the
genes that contribute to variation in cognitive function in the UK Biobank.
The project will correlate genetic and phenotypic variation to identify genes
that contribute to memory and processing speed (pairs matching, prospective,
numeric, light pattern memory, reaction time and fluid intelligence), and
develop predictors of cognitive impairment based on genetic markers.
1b: Cognitive impairment is a major health and social issue in ageing
populations. Age-related cognitive decline is costly to the individual, his
relatives and society in general. It represents a major financial burden to the
health services and often precedes dementia, illness or death.
Individual variation in cognitive ageing is partly genetic and partly
environmental. About 50% of the cognitive variation is genetic. Identifying the
genes that contribute to cognitive ageing would allow developing better
prediction models of cognitive impairment, thereby facilitating early
intervention; and better understanding of the molecular basis of disease that
could eventually provide better or new treatments.
1c: Cognitive measurements and their change will be compared to the genetic
variations measured from blood DNA. We expect that variation in DNA within,
or nearby, genes relevant to cognitive function will correlate with differences
in cognitive function among individuals.
We will use statistical methods to test if any of the hundreds of thousands of
single nucleotide polymorphisms (SNPs), a type of genetic variation, measured
in the UK Biobank is associated with changes in cognition.
1d: Subset of the cohort with cognitive measurements that had cognitive
measurements at recruitment.
Last updated on April 9th, 2015