Incorporating interference into linkage analysis for experimental crosses
- Author(s)
- Armstrong, NJ; McPeek, MS; Speed, TP;
- Details
- Publication Year 2006-07,Volume 7,Issue #3,Page 374-386
- Journal Title
- BIOSTATISTICS
- Publication Type
- Journal Article
- Abstract
- The phenomenon of interference in genetic recombination is well-known and studied in a wide variety of organisms. Multilocus linkage analysis, which makes use of recombination patterns among all genetic markers simultaneously, is routinely used with data on humans and experimental organisms to build genetic maps. It is also used to try to determine the genes involved in traits of interest, such as common diseases. Most linkage analyses performed today ignore the occurrence of genetical interference. We present an extension to the Lander-Green algorithm for experimental crosses (backcross and intercross) to incorporate crossover interference according to the chi(2) model. Simulation results show the impact of using this model on the accuracy of estimated genetic maps.
- Publisher
- OXFORD UNIV PRESS
- Keywords
- CROSSOVER INTERFERENCE; CHIASMA INTERFERENCE; GENETIC-DISTANCE; RECOMBINATION; MODEL; MOUSE; MAP
- Publisher's Version
- https://doi.org/10.1093/biostatistics/kxj012
- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2006-07-01 12:00:00