tailieunhanh - báo cáo khoa học: " Complex disease genetics: present and future translational applications"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Complex disease genetics: present and future translational applications | Genome Medicine Meeting report Complex disease genetics present and future translational applications Michael V Holmes Sonia H Shaht Aspasia Angelakopoulou Tauseef Khan Daniel Swerdlow Karoline Kuchenbaecker Reecha Sofat and Tina Shah Addresses Genetic Epidemiology Research Group UCL Research Department of Epidemiology and Public Health University College London 1-19 Torrington Place London WC1E 6BT UK. tUCL Genetics Institute Department of Genetics Evolution and Environment University College London Kathleen Lonsdale Building Gower Place London WC1E 6BT UK. Department of Epidemiology and Population Health London School of Hygiene and Tropical Medicine Keppel Street London WC1E 7HT UK. Centre for Clinical Pharmacology Division of Medicine University College London Rayne Institute 5 University Street London WC1E 6JJ UK. Correspondence Tina Shah. Email Abstract A report on the British Atherosclerosis Society autumn meeting Genetics of Complex Diseases Cambridge UK 17-18 September 2009. Introduction Complex disease genetics is at a critical turning point. Genome-wide association studies GWASs have generated an abundance of data resulting in the use of advanced analytic methods and raising many questions. This common platform has brought together various scientific disciplines including genetics epidemiology bioinformatics statistics and medicine reflected in the diverse backgrounds of speakers and delegates at this meeting. Here we summarize two principal themes that emerged in the meeting first the success of GWASs in the discovery of novel disease loci using emerging new analytical methodologies and second the current and future translational applications of GWASs. Genome-wide association studies -discoveries limitations and future directions GWASs enable a hypothesis-free approach to finding novel genes associated with diseases and traits. Facilitated by the HapMap project http chips with probes for up to one million single .