10.1371/journal.pgen.1004144.g002 Hong Li Hong Li Gustavo Glusman Gustavo Glusman Hao Hu Hao Hu Shankaracharya Shankaracharya Juan Caballero Juan Caballero Robert Hubley Robert Hubley David Witherspoon David Witherspoon Stephen L. Guthery Stephen L. Guthery Denise E. Mauldin Denise E. Mauldin Lynn B. Jorde Lynn B. Jorde Leroy Hood Leroy Hood Jared C. Roach Jared C. Roach Chad D. Huff Chad D. Huff Performance of relationship estimation in 30 sequenced families using (A) GERMLINE-ERSA2.0, (B) fastIBD-ERSA2.0, and (C) ISCA-ERSA2.0. Public Library of Science 2014 genetics Heredity Linkage (genetics) population genetics haplotypes genomics Genome analysis tools Genome complexity Genome sequencing estimation 30 sequenced 2014-01-30 02:50:54 Figure https://plos.figshare.com/articles/figure/_Performance_of_relationship_estimation_in_30_sequenced_families_using_A_GERMLINE_ERSA2_0_B_fastIBD_ERSA2_0_and_C_ISCA_ERSA2_0_/918790 <p>Area of the circles indicates the percentage of individual pairs whose estimated degrees of relationship are exactly the same as reported relationship. FS: full sibling. PO: parent offspring. UN: unrelated individuals. All ERSA analyses employed IBD masking. Histograms represent the number of pairs in each relationship category. Most of the pedigrees were ascertained on the basis of common, complex or rare, Mendelian diseases. As we have previously reported, this ascertainment can produce a downward bias in distant relationship estimates <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1004144#pgen.1004144-Huff1" target="_blank">[10]</a>, which may account for the differences in relationship estimates between sequenced and simulated pedigrees for 10<sup>th</sup> through 12<sup>th</sup> degree relationships (see <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1004144#pgen.1004144.s005" target="_blank">Figure S5</a>).</p>