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Open Access Research article

Fine-scale mapping of meiotic recombination in Asians

Thomas Bleazard12, Young Seok Ju1, Joohon Sung13 and Jeong-Sun Seo14*

Author Affiliations

1 Genomic Medicine Institute (GMI), Medical Research Center, Seoul National University, Seoul, South Korea

2 College of Natural Sciences, Seoul National University, Seoul, South Korea

3 Department of Epidemiology, School of Public Health and Institute of Environment and Health, Seoul National University, Seoul, South Korea

4 Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, South Korea

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BMC Genetics 2013, 14:19  doi:10.1186/1471-2156-14-19

Published: 8 March 2013

Additional files

Additional file 1:

Supplementary Notes. Details on X chromosome hidden Markov models, concordance analysis, alternative simulations, algorithm comparison and Mongolian exome sequencing results.

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Open Data

Additional file 2:

List of Crossover Prediction Intervals. The complete unordered list of recombination events detected in Mongolian and Korean families. The first column is the sex of the individual in which recombination was observed, the second column is the chromosome on which it was located, and the third and fourth mark the physical position of the start and end point of the range in which the algorithm determined the recombination could have occurred. Positions are given in terms of NCBI build 36.

Format: CSV Size: 870KB Download file

Open Data

Additional file 3:

Genetic Maps. Archive containing combined genetic maps for all chromosomes. The SNP list text files contain the rs numbers of all of the SNPs shared by the Mongolian and Korean cohorts, ordered by physical position. The map files give the genetic distance between each of these markers in order in centimorgans. All observed Asian recombination events are mixed to form this map.

Format: ZIP Size: 1.1MB Download file

Open Data

Additional file 4:

Quartet Analysis Algorithm. Archive containing a script to be opened using Python (http:////python.org webcite). The Python source code for the algorithm used in this study (script.py) is available to run on new datasets. Given the identities of the father, mother and two children in a family quartet, and genotype data in PLINK format, it returns a list of recombination prediction intervals. For instructions and input file requirements, please see the file README.txt. This package also includes example input files (*.syn) generated during simulations.

Format: ZIP Size: 122KB Download file

Open Data