{"43227":{"#nid":"43227","#data":{"type":"event","title":"Statistical Methods for Genetic Studies in Structured Populations","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETITLE:\u003C\/strong\u003E Statistical Methods for Genetic Association Studies in Structured Populations \n\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003ESPEAKER:\u003C\/strong\u003E Timothy A. Thornton, Ph.D.\u003Cbr \/\u003E\nUC President\u0027s Postdoctoral Fellow\u003Cbr \/\u003E\nDepartment of Statistics\u003Cbr \/\u003E\nUniversity of California, Berkeley \n\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EABSTACT:\u003C\/strong\u003E\n\u003C\/p\u003E\n\u003Cp\u003EGenetic association testing has proven to be a valuable tool for the mapping of complex traits. Technological advances have made it feasible to perform case-control association studies on a genome-wide basis. Some of the characteristics of the data include missing information, and the need to analyze hundreds of thousands or millions of genetic markers in a single study, which puts a premium on computational speed of the methods. The observations in these studies can have several sources of dependence, including population structure and relatedness among the sampled individuals, where some of this structure may be unknown. Neglecting such structure in the data can lead to seriously spurious associations. We describe a new approach to this problem.\n\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"Statistical Methods for Genetic Association Studies in Structured Populations","format":"limited_html"}],"field_summary_sentence":[{"value":"Statistical Methods for Genetic Studies in Structured Populations"}],"uid":"27187","created_gmt":"2009-10-12 20:37:29","changed_gmt":"2016-10-08 01:47:30","author":"Anita Race","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2008-12-05T10:00:00-05:00","event_time_end":"2008-12-05T11:00:00-05:00","event_time_end_last":"2008-12-05T11:00:00-05:00","gmt_time_start":"2008-12-05 15:00:00","gmt_time_end":"2008-12-05 16:00:00","gmt_time_end_last":"2008-12-05 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[{"id":"3031","name":"genetic"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cstrong\u003ENicoleta Serban\u003C\/strong\u003E\u003Cbr \/\u003EISyE\u003Cbr \/\u003E\u003Ca href=\u0022mailto:nserban@isye.gatech.edu\u0022\u003EContact Nicoleta Serban\u003C\/a\u003E\u003Cbr \/\u003E\u003Cstrong\u003E404-385-7255\u003C\/strong\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}