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Gee Research Blog

Planning for the Future – Resilience to Extreme Weather

Thu, 15 Jan 2015 15:13:14 +0000

As climate change progresses, extreme weather events are set to increase in frequency, costing billions and causing immeasurable harm to lives and livelihoods. GEE’s Professor Georgina Mace contributed to the recent Royal Society report on “Resilience to Extreme Weather”, which predicts the future impacts of increasing extreme weather events, and evaluates potential strategies for improving […]

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Forecasting Extinction

Mon, 05 Jan 2015 11:33:21 +0000

Classifying a species as either extinct or extant is important if we are to quantify and monitor current rates of biodiversity loss, but it is rare that a biologist is handy to actually observe an extinction event. Finding the last member of a species is difficult, if not impossible, so extinction classifications are usually estimates […]

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Changing Perspectives in Conservation

Thu, 18 Dec 2014 12:15:44 +0000

Our views of the importance of nature and our place within have changed dramatically over the the last century, and the prevailing paradigm has profound influences on conservation from the science that is conducted to the policies that are enacted. In a recent perspectives piece for Science, GEE’s Professor Georgina Mace considered the impacts that […]

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Function Over Form: Phenotypic Integration and the Evolution of the Mammalian Skull

Mon, 08 Dec 2014 14:05:52 +0000

Our bodies are more than just a collection of independent parts – they are complex, integrated systems that rely upon precise coordination in order to function properly. In order for a leg to function as a leg, the bones, muscles, ligaments, nerves and blood vessels must all work together as an integrated whole. This concept, […]

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Phenotypic Integration and the Evolution of the Mammalian Skull
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The Best of Both Worlds:Planning for Ecosystem Win-Wins

Sun, 16 Nov 2014 12:25:44 +0000

The normal and healthy function of ecosystems is not only of importance in conserving biodiversity, it is of utmost importance for human wellbeing as well. Ecosystems provide us with a wealth of valuable ecosystem services from food to clean water and fuel, without which our societies would crumble. However it is rare that only a […]

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Planning for Ecosystem Win-Wins
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MRC Career Development Award for Doug Speed

3 February 2014

Congratulations to Doug Speed who has been successful in gaining an MRC career development award in biostatistics.

The MRC has identified advanced biostatistics as a methodology of strategic importance to UK science.  The MRC Biostatistics Fellowship is one of a number of qualitative and quantitative schemes supported by the MRC under the Strategic Skills Fellowships banner. The scheme expects to make up to 3 awards a year.

The aim of the scheme is to encourage broad training programmes in biostatistics to support talented researchers who have recently completed their PhDs and wish to move into statistically based health related research.

The aim of Doug's fellowship is to develop methods for better understanding the genetics behind complex traits, then to apply these methods to improve prediction and classification of diseases. There are many diseases which we know to be highly heritable, but for which we have struggled to understand the genetic factors influencing risk.  For example, twin and family studies have shown that at least 50% of an individual's risk of developing epilepsy can be explained by genetics, but so far, we have discovered only a handful of genetic mutations impacting risk which in total explain less than 1% of the variation.

To better understand these diseases, we need to devise methods which allow for the fact that there are likely to be many hundreds, if not thousands, of variants affecting risk. Even though we are unlikely to discover the majority of these, we can still benefit greatly by determining which types of variants are causal. This information can then be accommodated in prediction models, which can be used to select individuals at high risk of developing a condition, and also for classification; many diseases, especially neurological traits, are highly heterogeneous, so diagnoses and prognoses will benefit by being able to use genetics to group individuals into subtypes.


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