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>