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Open Access Highly Accessed Methodology article

A general linear model-based approach for inferring selection to climate

Srilakshmi M Raj12, Luca Pagani1, Irene Gallego Romero3, Toomas Kivisild1 and William Amos4*

Author Affiliations

1 Department of Biological Anthropology, Henry Wellcome Building, University of Cambridge, Fitzwilliam Street, Cambridge, UK

2 Present address: Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA

3 Department of Human Genetics, University of Chicago, Chicago, IL, USA

4 Department of Zoology, University of Cambridge, Cambridge, UK

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BMC Genetics 2013, 14:87  doi:10.1186/1471-2156-14-87

Published: 22 September 2013

Additional files

Additional file 1: Figure S1:

The number of genic windows showing P <= 10-4 (blue) or <= 10-5 (red) in more than 1,2 3 or 4 climate combinations 2. Figure S2: Regression line between the –log10P obtained using the full dataset run on 2*106 randomizations (Ptrue) and the same run masking half of the dataset each time (Phalves) 2. Figure S3: Inference of directional and balancing selection associated with climate 3. Table S1. Climate variables assigned to the 45 populations used in this study 4. Table S2: Correlation of MAGIC hits by climate variables 5. Table S3: All the genic windows yielding a hit ( -log10P >=5) in the present study 7.

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