This intensive, residential, computational course is aimed at scientists actively involved in genetic analysis of multifactorial traits.
The course provides a comprehensive overview of the statistical methods currently used to map disease susceptibility genes in human populationsDiscussions of the latest statistical methodology are complemented by practical hands-on computer exercises using state-of-the-art softwareThe statistical basics behind each method will be carefully explained so that participants with a non-statistical background can understandIn addition to discussing analysis methods applicable to samples of unrelated individuals, we also will discuss methods that can analyse family data or a combination of families and individualsThis is a small residential course, with a low student:instructor ratio, personalized attention, and instructors involved and present throughoutEach student will receive a certificate of course completion at the end of the course
The programme will discuss fundamental issues needed to increase success in gene mapping studies including: - Optimal study design - Power to detect linkage and association - Determining the most appropriate statistical methods and software - Quality control strategies - Interpretation of statistical results and trouble shooting - Basic principles of statistical inference - Hypothesis testing - Population and quantitative genetics - Mendelian inheritance
Our interactive and intensive educational program will enable researchers to better carry out sophisticated statistical analyses of genetic data, and will also improve their interpretation and understanding of the resultsThe concepts and methodological approaches covered are equally applicable to genotype data generated from traditional genotyping technologies and to data generated through next generation sequencing endeavoursNote the focus of the course is on the downstream analysis of called variants
Limited bursaries available
Application Deadline: 8 April 2016
Speakers: Daniel Weeks (University of Pittsburgh, USA), Heather Cordell (Institute of Genetic Medicine, Newcastle University, UK), Janet Sinsheimer (University of California, Los Angeles, USA), Eric Sobel (University of California, Los Angeles, USA), Joe Terwilliger (Columbia University, New York, USA), Simon Heath (Centre Nacional d'Analisi Genomica (CNAG), Barcelona, Spain), Chris Wallace University of Cambridge, UK), Nicole Soranzo Wellcome Trust Sanger Institute, UK), Andrew Morris University of Liverpool, UK)
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VenueWellcome Genome Campus
Address, Hinxton, Cambridgeshire,
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The Red Lion Hinxton
In a tiny village south of Cambridge, this appealing 16th-century freehouse has an AA Rosette restaurant, an atmospheric bar, and new-build en suite rooms with free internet..
The Crown House Hotel
This former Georgian coaching inn located in the picturesque village of Great Chesterford, just off the M11 motorway. It offers an award-winning restaurant, a huge landscaped garden and free parking..
Duxford Lodge Hotel
Overlooking landscaped gardens, with awards for hospitality and cuisine, this 3-star hotel has luxury bedrooms and a quality restaurant. Close to Cambridge, Newmarket and the Science Parks..
Holiday Inn Express Cambridge
The brand new Holiday Inn Express Cambridge Duxford M11 Jct 10 offers comfortable rooms with power showers and Wi-Fi access. Cambridge centre is a 20-minute drive away, and the hotel offers free parking..
The Red Lion Hotel
The Red Lion Hotel dates back to the 13th century and features wooden beams hand-carved by Carmelite monks. The inn is situated in Whittlesford Bridge, just 2 miles from Duxford, and offers elegant rooms with Hypnos beds..
Whittlesford Bed and Breakfast
Close to Duxford Airfield and the historic city of Cambridge, this homely B&B offers free Wi-Fi and free parking on site. It is situated in Whittlesford, just 5 minutes drive from the M11 motorway..
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