Journal article

Inferring demography from runs of homozygosity in whole-genome sequence, with correction for sequence errors

IM MacLeod, DM Larkin, HA Lewin, BJ Hayes, ME Goddard

Molecular Biology and Evolution | Published : 2013

Abstract

Whole-genome sequence is potentially the richest source of genetic data for inferring ancestral demography. However, full sequence also presents significant challenges to fully utilize such large data sets and to ensure that sequencing errors do not introduce bias into the inferred demography. Using whole-genome sequence data from two Holstein cattle, we demonstrate a new method to correct for bias caused by hidden errors and then infer stepwise changes in ancestral demography up to present. There was a strong upward bias in estimates of recent effective population size (Ne) if the correction method was not applied to the data, both for our method and the Li and Durbin (Inference of human po..

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University of Melbourne Researchers

Grants

Awarded by Australian Research Council


Awarded by US Department of Agriculture Cooperative State Research Education and Extension Service, Livestock Genome Sequencing Initiative


Funding Acknowledgements

The authors are grateful to two anonymous reviewers for thoughtful suggestions to improve the manuscript. This work was supported by Australian Research Council's Discovery Projects funding scheme (grant number DP1093502) to M.E.G. and by the US Department of Agriculture Cooperative State Research Education and Extension Service, Livestock Genome Sequencing Initiative (grant numbers: 538 AG2009-34480-19875 and 538 AG 58-1265-0-031) to H.A.L.