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Accurate Non-parametric Estimation of Recent Effective Population Size from Segments of Identity by Descent
Author(s) -
Sharon R. Browning,
Brian L. Browning
Publication year - 2015
Publication title -
the american journal of human genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.661
H-Index - 302
eISSN - 1537-6605
pISSN - 0002-9297
DOI - 10.1016/j.ajhg.2015.07.012
Subject(s) - population size , effective population size , identity by descent , population , estimation , census , statistics , small population size , geography , demography , biology , mathematics , genetic variation , genetics , allele , haplotype , engineering , sociology , gene , systems engineering
Existing methods for estimating historical effective population size from genetic data have been unable to accurately estimate effective population size during the most recent past. We present a non-parametric method for accurately estimating recent effective population size by using inferred long segments of identity by descent (IBD). We found that inferred segments of IBD contain information about effective population size from around 4 generations to around 50 generations ago for SNP array data and to over 200 generations ago for sequence data. In human populations that we examined, the estimates of effective size were approximately one-third of the census size. We estimate the effective population size of European-ancestry individuals in the UK four generations ago to be eight million and the effective population size of Finland four generations ago to be 0.7 million. Our method is implemented in the open-source IBDNe software package.

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