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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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Life Aquatic: Diversity and Endemism in Freshwater Ecosystems

Thu, 06 Nov 2014 11:22:07 +0000

Freshwater ecosystems are ecologically important, providing a home to hundreds of thousands of species and offering us vital ecosystem servies. However, many freshwater species are currently threatened by habitat loss, pollution, disease and invasive species. Recent research from GEE indicates that freshwater species are at greater risk of extinction than terrestrial species. Using data on […]

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Diversity and Endemism in Freshwater Ecosystems
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Handicaps, Honesty and VisibilityWhy Are Ornaments Always Exaggerated?

Thu, 23 Oct 2014 13:30:30 +0000

Sexual selection is a form of natural selection that favours traits that increase mating success, often at the expense of survival. It is responsible for a huge variety of characteristics and behaviours we observe in nature, and most conspicuously, sexual selection explains the elaborate ornaments such as the antlers of red deer and the tail […]

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Why Are Ornaments Always Exaggerated?
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PREDICTS Project: Land-Use Change Doesn’t Impact All Biodiversity Equally

Mon, 13 Oct 2014 09:17:53 +0000

Humans are destroying, degrading and depleting our tropical forests at an alarming rate. Every minute, an area of Amazonian rainforest equivalent to 50 football pitches is cleared of its trees, vegetation and wildlife. Across the globe, tropical and sub-tropical forests are being cut down to make way for expanding towns and cities, for agricultural land […]

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Calculated Risks: Foraging and Predator Avoidance in Rodents

Fri, 03 Oct 2014 10:07:08 +0000

Finding food is one of the most important tasks for any animal – most animal activity is focused on this job. But finding food usually involves some risks – leaving the safety of your burrow or nest to go out into a dangerous world full of predators, disease and natural hazards. Animals should therefore be […]

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Foraging and Predator Avoidance in Rodents
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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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