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International Women's Day Lecture: Leveraging Big Data to Dissect Common, Complex Metabolic Traits

Description
Leveraging large- scale international collaboration and very large open access electronic medical record paired with genotype resources allows hereto unparalleled possibilities for genetic associations and dissection of underlying mechanisms of human traits and disorders. Professor Lindgren will give an outline of work that her team at the Big Data Institute is pursuing in this framework, focusing on obesity and reproductive health. She will discuss and contrast possibilities and pitfalls in the data, analysis and result interpretation.
Presenter
Professor Cecilia Lindgren
Type
Academic, Lecture
Open to
All staff and students
Date
Friday, 09 March 2018
Time
1:00 PM to 2:00 PM
Where
School of Medicine, Lecture Theatre
Contact
Silvia Paracchini
Email
sp58@st-andrews.ac.uk
Website
https://www.bdi.ox.ac.uk/Team/celi
More info

Cecilia Lindgren is a Senior Group Leader at the Big Data Institute (BDI), Li Ka Shing Centre for Health Information and Discovery at the University of Oxford and sits on the steering committee for the Centre for Personalised Medicine at St Anne’s college. Her work has contributed substantially to our understanding of the genetic landscape of T2D and obesity. She has been awarded the Rising Star Award from the European Association for the Study of Diabetes (2010), the Association for the Study of Obesity’s Obesity and Cardiovascular Health Award (2011), the inaugural Leena Peltonen Prize for Excellence in Human Genetics (2013) and the 30th Khwarizmi International Award (2017). She has been listed amongst Thomson Reuters 100 “most highly cited researchers” in Molecular Biology and Genetics for the last four consecutive years. Her research focuses on applying genetics and genomics to dissect the etiology of obesity-related traits and their relationship with (female) reproductive health.

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