Last updated:
ID:
788
Start date:
1 February 2013
Project status:
Current
Principal investigator:
Professor Albert Tenesa
Lead institution:
University of Edinburgh, Great Britain

Genes and environmental exposures determine susceptibility to common diseases such as diabetes or cancer. The relative contribution of genes to disease risk is known as the heritability. Heritability is often estimated using twin pairs. However, heritability estimates obtained from twins have limitations that could be overcome by using sibling and parental information on disease. That is, a person?s family history. We will calculate heritability by comparing the disease frequency among relatives to the frequency in the general population. We will use the full UKbiobank cohort data on family history to estimate the heritability of a broad range of medical conditions. We will use information on smoking, anthropometric and reproductive factors to understand to what degree these risk factors are determined by genetics; and to what degree genes influencing risky behaviours (e.g. smoking) and diseases are shared. In addition, we will estimate the heritability of reproductive fitness (a measure of natural selection).Estimates of heritability are important because they set the potential utility of genetics to predict disease risk. Stratification of the population by their level of risk would allow tailoring the level of medical intervention to the level of risk and facilitate early diagnosis.

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