A statistical approach to studying genetic variation promises to shed new light on the history of human migration.
Scientists from the University of Oxford and University College Cork have developed a technique that analyses shared parts of chromosomes across the entire human genome. It can give much finer detail than other methods and makes it possible to delve further back in time and identify smaller genetic contributions. Application of the method has already turned up such surprising findings as a strong Mongolian contribution to the genes of the Native American Pima people and gene flow from the north of Europe to Eastern Siberia. Details are published May 23rd in the open-access journal PLoS Genetics.
Previous methods of genome analysis have either concentrated on one part of the human genome - for example, just the Y-chromosome -- or are based on "beanbag genetics" - an oversimplified model of heredity that does not fully consider chromosomal structure. The new technique described by Hellenthal and colleagues was used to analyse 2000 genetic markers using Single Nucleotide Polymorphism data from the 2006 Human Diversity Project. The researchers believe their method can cope with much larger datasets with over 500,000 genetic markers.
Further developments of the technique should allow more finely detailed reconstruction of human ancestry and give a perspective independent of anthropological theory and interpretation.
PLEASE ADD THIS LINK TO THE PUBLISHED ARTICLE IN ONLINE VERSIONS OF YOUR REPORT: http://www.
CITATION: Hellenthal G, Auton A, Falush D (2008) Inferring Human Colonization History Using a Copying Model. PLoS Genet 4(5): e1000078. doi:10.1371/journal.pgen.1000078
PRESS-ONLY PDF: http://www.
Dr. Daniel Falush, PhD.
University of Oxford
+353 21490 1981
This press release refers to an upcoming article in PLoS Genetics. The release is provided by the article authors and/or their institutions. Any opinions expressed in this release or article are the personal views of the journal staff and/or article contributors, and do not necessarily represent the views or policies of PLoS. PLoS expressly disclaims any and all warranties and liability in connection with the information found in the releases and articles and your use of such information.
About PLoS Genetics
PLoS Genetics (http://www.
About the Public Library of Science
The Public Library of Science (PLoS) is a non-profit organization of scientists and physicians committed to making the world's scientific and medical literature a freely available public resource. For more information, visit http://www.