Open Access Methodology article

Detecting autozygosity through runs of homozygosity: A comparison of three autozygosity detection algorithms

Daniel P Howrigan12*, Matthew A Simonson12 and Matthew C Keller12

Author Affiliations

1 Department of Psychology, University of Colorado at Boulder, 1416 Broadway, Boulder, CO, 80301, USA

2 Institute for Behavioral Genetics, University of Colorado at Boulder, 1480 30th St., Boulder, CO, 80303, USA

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BMC Genomics 2011, 12:460  doi:10.1186/1471-2164-12-460

Published: 23 September 2011

Additional files

Additional file 1:

MAF distribution of empirical SNP data, simulated sequence data, and simulated SNP data drawn from sequence

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Additional file 2:

After MAF pruning of the simulated sequence data, SNPs were drawn to closely match SNP base positions observed in empirical SNP data

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Additional file 3:

Type 1 and type 2 errors for autozygosity within 20 generations using PLINK and GERMLINE

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Additional file 4:

Type 1 and type 2 errors for autozygosity within 50 generations using PLINK and GERMLINE

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Additional file 5:

Type 1 and type 2 errors using BEAGLE

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Additional file 6:

Figure legends for additional files 3, 4, and 5

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