Regional genetic variation in Caucasians |
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| Institution: | 1. Canadian Food Inspection Agency, National Centres for Animal Disease, Lethbridge Laboratory, P. O. Box 640, Township Road 9-1, Lethbridge, Alberta T1J 3Z4, Canada;2. Canadian Food Inspection Agency, Greater Toronto Area Laboratory, 2301 Midland Ave., Scarborough, Ontario M1P 4R7, Canada;3. Public Health Agency of Canada, Lethbridge, Laboratory for Foodborne Zoonoses, P. O. Box 640, Township Road 9-1, Lethbridge, Alberta T1J 3Z4, Canada;4. Public Health Agency of Canada, National Microbiology Laboratory, 1015 Arlington St., Winnipeg, Manitoba R3E 3R2, Canada;2. Institute of Agriculture & Life Science, Gyeongsang National University, Jinju 52828, South Korea;3. CSIRO, Agriculture & Food, 11 Julius Ave North Ryde, New South Wales, 2113, Australia;1. Cancer Biology Laboratory, Department of Biosciences and Bioengineering, IIT Guwahati, Assam 781039, India;2. Cancer Science Institute of Singapore, Centre for Translational Medicine, 14 Medical Drive, #11-01M, 117599 Singapore;3. Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, 117600 Singapore |
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| Abstract: | When evaluating DNA evidence, the necessary calculations are often carried out using databases drawn from broad populations; for example, the Forensic Science Service (FSS) maintains genetic databases for the 3 major racial groups of England and Wales—Caucasian, Afro-Caribbean and Asian (from the Indian subcontinent). The resulting figures may be challenged in court on the premise that they are not based on data from the population of most relevance in the particular case under consideration. One important factor might be the location of the crime. Since the recent establishment of a National DNA Intelligence Database, data have been made available from a wide range of geographical regions in England and Wales. This paper gives details of analyses conducted to measure the differentiation between white Caucasian populations from these regions and from other areas of the UK and abroad using a Bayesian approach. |
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