A high-throughput resequencing technology has brought family based studies back into genetic research focus. Within-family outliers (the individuals whose phenotype is very much unlike the phenotype of relatives) may carry rare variants of large effects and thus resequencing of these provides a highly powered strategy for rare variants detection. On the other hand, such outliers may complicate search for common variants of smaller effects, because they may obscure a real linkage signal. We have developed a program Ped-Outlier allowing automatic detection of within-family outliers in a sample of pedigrees of arbitrary structure and size. We tested our program by identification of within-family outliers for adult height and intracranial volume in large pedigree. Results of linkage analysis of these traits demonstrated that identification of within-family outliers is one of the important steps of pedigree analysis. The program Ped-outlier is freely available at http://mga.bionet.nsc.ru/soft/index.html.

, , , , ,
doi.org/10.1016/j.compbiolchem.2010.08.004, hdl.handle.net/1765/28447
Computational Biology and Chemistry
Erasmus MC: University Medical Center Rotterdam

Zorkoltseva, I., Aulchenko, Y., Tikka-Kleemola, P., & Axenovich, T. (2010). Ped-Outlier software for automatic identification of within-family outliers. Computational Biology and Chemistry, 34(4), 242–243. doi:10.1016/j.compbiolchem.2010.08.004