Identity-by-descent estimation with population- and pedigree-based imputation in admixed family data

Mohamad Saad, Alejandro Q. Nato, Fiona L. Grimson, Steven M. Lewis, Lisa A. Brown, Elizabeth M. Blue, Timothy A. Thornton, Elizabeth A. Thompson, Ellen M. Wijsman

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Background: In the past few years, imputation approaches have been mainly used in population-based designs of genome-wide association studies, although both family- and population-based imputation methods have been proposed. With the recent surge of family-based designs, family-based imputation has become more important. Imputation methods for both designs are based on identity-by-descent (IBD) information. Apart from imputation, the use of IBD information is also common for several types of genetic analysis, including pedigree-based linkage analysis. Methods: We compared the performance of several family- and population-based imputation methods in large pedigrees provided by Genetic Analysis Workshop 19 (GAW19). We also evaluated the performance of a new IBD mapping approach that we propose, which combines IBD information from known pedigrees with information from unrelated individuals. Results: Different combinations of the imputation methods have varied imputation accuracies. Moreover, we showed gains from the use of both known pedigrees and unrelated individuals with our IBD mapping approach over the use of known pedigrees only. Conclusions: Our results represent accuracies of different combinations of imputation methods that may be useful for data sets similar to the GAW19 pedigree data. Our IBD mapping approach, which uses both known pedigree and unrelated individuals, performed better than classical linkage analysis.

Original languageEnglish
Article number7
JournalBMC Proceedings
Volume10
DOIs
Publication statusPublished - 1 Jan 2016
Externally publishedYes

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Pedigree
Population
Genes
Education
Genome-Wide Association Study

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Saad, M., Nato, A. Q., Grimson, F. L., Lewis, S. M., Brown, L. A., Blue, E. M., ... Wijsman, E. M. (2016). Identity-by-descent estimation with population- and pedigree-based imputation in admixed family data. BMC Proceedings, 10, [7]. https://doi.org/10.1186/s12919-016-0046-5

Identity-by-descent estimation with population- and pedigree-based imputation in admixed family data. / Saad, Mohamad; Nato, Alejandro Q.; Grimson, Fiona L.; Lewis, Steven M.; Brown, Lisa A.; Blue, Elizabeth M.; Thornton, Timothy A.; Thompson, Elizabeth A.; Wijsman, Ellen M.

In: BMC Proceedings, Vol. 10, 7, 01.01.2016.

Research output: Contribution to journalArticle

Saad, M, Nato, AQ, Grimson, FL, Lewis, SM, Brown, LA, Blue, EM, Thornton, TA, Thompson, EA & Wijsman, EM 2016, 'Identity-by-descent estimation with population- and pedigree-based imputation in admixed family data', BMC Proceedings, vol. 10, 7. https://doi.org/10.1186/s12919-016-0046-5
Saad, Mohamad ; Nato, Alejandro Q. ; Grimson, Fiona L. ; Lewis, Steven M. ; Brown, Lisa A. ; Blue, Elizabeth M. ; Thornton, Timothy A. ; Thompson, Elizabeth A. ; Wijsman, Ellen M. / Identity-by-descent estimation with population- and pedigree-based imputation in admixed family data. In: BMC Proceedings. 2016 ; Vol. 10.
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