New Statistical Method Reveals Surprises About Our Ancestry
- Date:
- May 24, 2008
- Source:
- Public Library of Science
- Summary:
- A statistical approach to studying genetic variation promises to shed new light on the history of human migration. 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.
- Share:
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.
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.
Story Source:
Materials provided by Public Library of Science. Note: Content may be edited for style and length.
Journal Reference:
- Hellenthal G, Auton A, Falush D. Inferring Human Colonization History Using a Copying Model. PLoS Genet, 2008; 4(5): e1000078 DOI: 10.1371/journal.pgen.1000078
Cite This Page: