Imputation in families using a heuristic phasing approach

August N. Blackburn, Angela K. Dean, Donna M. Lehman

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Whole genome sequencing (WGS) remains prohibitively expensive, which has encouraged the development of methods to impute WGS data into nonsequenced individuals using a framework of single nucleotide polymorphisms genotyped for genome-wide association studies (GWAS). Although successful methods have been developed for cohorts of unrelated individuals, current imputation methods in related individuals are limited by pedigree size, by the distance of relationships, or by computation time. In this article, we describe a method for imputation in arbitrarily shaped multigenerational pedigrees that can impute genotypes across distantly related individuals based on identity by descent. We evaluate this approach using GWAS data and apply this approach to WGS data distributed for Genetic Analysis Workshop 18.

Original languageEnglish (US)
Article numberS16
JournalBMC Proceedings
StatePublished - Jun 17 2014

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)


Dive into the research topics of 'Imputation in families using a heuristic phasing approach'. Together they form a unique fingerprint.

Cite this