Dataset Open Access
Speidel, Leo;
Forest, Marie;
Shi, Sinan;
Myers, Simon R.
Overview
Coalescence rates, allele ages, and p-values for evidence of positive selection calculated for 2478 samples of the 1000 Genomes Project using Relate.
We estimated the joint genealogy of all 1000 GP populations and then extracted the embedded genealogy for each population.
For the genealogy of each population, we jointly estimated the population size history and branch lengths.
Variants segregating in more than one population therefore have correlated but different allele ages in each population.
Please refer to Speidel et al. Nature Genetics (2019) for more details or email leo.speidel@outlook.com for any queries.
Coalescence rates
The zipped directory coalescence_rates.zip contains coalescence rates for 26 populations in the 1000 Genomes Project data set.
Allele ages and selection p-values
The zipped directories allele_ages_*.zip contain R data frames for each 1000GP population storing allele ages and selection p-values.
Please note that only mutations that segregate in the population and map to a unique branch in the Relate-estimated marginal trees are included. Selection p-values are only provided for mutations of DAF > 2 that pass quality filters (see Speidel et al., 2019).
To get an age estimate for a neutral mutation, use 0.5*(lower_age + upper_age). To get years from generations, we multiply by 28.
The columns of these data frames, named "allele_ages", are
Name | Size | |
---|---|---|
allele_ages_AFR.zip
md5:c3d94e2084205dcb7101bd51d3660409 |
2.8 GB | Download |
allele_ages_AMR.zip
md5:f7da0238962e45a2446fbe9d88b6fef8 |
1.1 GB | Download |
allele_ages_EAS.zip
md5:f1e5241291fe674fb5c3d4390c9d6663 |
1.0 GB | Download |
allele_ages_EUR.zip
md5:c637c78c2248ca46144eb40d2c4f6c4d |
1.2 GB | Download |
allele_ages_SAS.zip
md5:9ee3fada4ae59271992d8288ee8a82d1 |
1.2 GB | Download |
coalescence_rates.zip
md5:b7b247836e1d078de755824fcecfc75b |
19.7 kB | Download |
Speidel et al., Nature Genetics 2019, A method for genome-wide genealogy estimation for thousands of samples. https://doi.org/10.1038/s41588-019-0484-x
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