Professor Albert Tenesa
Personal chair of Quantitative Genetics

Contact details
Address
- Street
-
The Roslin Institute
Easter Bush Campus
Midlothian - City
- Post code
- EH25 9RG
Background
Albert Tenesa studied agricultural engineering at the Polytechnic University of Valencia before coming to Edinburgh to study an MSc in Quantitative Genetics and Genome Analysis. He then carried out his PhD in quantitative genetics under the supervision of Peter Visscher and Sara Knott at the Institute of Evolutionary Biology at the University of Edinburgh. After a postdoc with Professor Malcolm Dunlop he became a group leader at the Roslin Institute (where he holds a joint appointment). Albert’s research at the MRC-Human Genetics Unit is aimed to understand how genetic variation contributes to phenotypic variation of complex traits in humans.
Qualifications
- 1999, Polytechnic University of Valencia
- MSc: 2000, University of Edinburgh
- PhD: 2003, University of Edinburgh
Research summary
Understanding how genetic variation influences normal and pathological variation in humans.
Current research interests
Albert is investigating how our genes make some of us more susceptible to certain diseases, such as cancer, than others. In the long term this research could be used to predict what diseases individuals are prone to and what age they are likely to develop them. With this information better drugs and preventative treatments could be developed. To investigate this, Albert takes samples from a large number of patients and controls (people without disease). The genomes of these groups are then studied. If proportionally more patients than controls are carrying a certain genotype, it is thought to be increasing their risk of getting the disease. These genetic risk factors are combined with environmental risk factors (e.g. smoking, exercise) to form an idea of what makes people prone to disease. An important part of our research relates to understanding multimorbidity (why people have multiple diseases).-
GWAS-based pathway analysis differentiates between fluid and crystallized intelligence
In:
Genes, Brain and Behavior, vol. 13, pp. 663-674
DOI: https://doi.org/10.1111/gbb.12152
Research output: Contribution to Journal › Article (Published) -
Plasma Vitamin D Concentration Influences Survival Outcome After a Diagnosis of Colorectal Cancer
(10 pages)
In:
Journal of Clinical Oncology, vol. 32, pp. 2430-2439
DOI: https://doi.org/10.1200/JCO.2013.54.5947
Research output: Contribution to Journal › Article (Published) -
Modulation of genetic associations with serum urate levels by body-mass-index in humans
In:
PLoS ONE, vol. 10
DOI: https://doi.org/10.1371/journal.pone.0119752
Research output: Contribution to Journal › Article (Published) -
A new GWAS and meta-analysis with 1000Genomes imputation identifies novel risk variants for colorectal cancer
(10 pages)
In:
Scientific Reports, vol. 5
DOI: https://doi.org/10.1038/srep10442
Research output: Contribution to Journal › Article (Published) -
Erratum: A new GWAS and meta-analysis with 1000Genomes imputation identifies novel risk variants for colorectal cancer
In:
Scientific Reports, vol. 5, pp. 12372
DOI: https://doi.org/10.1038/srep12372
Research output: Contribution to Journal › Comment/debate (Published) -
Genome-wide autozygosity is associated with lower general cognitive ability
In:
Molecular Psychiatry, vol. 21, pp. 837-843
DOI: https://doi.org/10.1038/mp.2015.120
Research output: Contribution to Journal › Article (Published) -
The nature of genetic variation for complex traits revealed by GWAS and Regional Heritability Mapping analyses
In:
Genetics, vol. 201, pp. 1601-1613
DOI: https://doi.org/10.1534/genetics.115.177220
Research output: Contribution to Journal › Article (Published) -
Evaluation of the linkage-disequilibrium method for the estimation of effective population size when generations overlap: an empirical case
In:
BMC Genomics, vol. 16, pp. 922
DOI: https://doi.org/10.1186/s12864-015-2167-z
Research output: Contribution to Journal › Article (Published) -
A new tool called DISSECT for analyzing large genomic datasets using a Big Data approach
In:
Nature Communications, vol. 6
DOI: https://doi.org/10.1038/ncomms10162
Research output: Contribution to Journal › Article (Published) -
Genetic determination of height mediated mate choice
In:
Genome Biology, vol. 16
DOI: https://doi.org/10.1186/s13059-015-0833-8
Research output: Contribution to Journal › Article (Published)
We have open PhD positions: