High-depth whole genome sequencing of an Ashkenazi Jewish reference panel: enhancing sensitivity, accuracy, and imputation

Todd Lencz, Jin Yu, Cameron Palmer, Shai Carmi, Danny Ben-Avraham, Nir Barzilai, Susan Bressman, Ariel Darvasi, Judy H. Cho, Lorraine N. Clark, Zeynep H. Gümüş, Vijai Joseph, Robert Klein, Steven Lipkin, Kenneth Offit, Harry Ostrer, Laurie J. Ozelius, Inga Peter, Gil Atzmon, Itsik Pe’er

Research output: Contribution to journalArticlepeer-review


While increasingly large reference panels for genome-wide imputation have been recently made available, the degree to which imputation accuracy can be enhanced by population-specific reference panels remains an open question. Here, we sequenced at full-depth (≥ 30×), across two platforms (Illumina X Ten and Complete Genomics, Inc.), a moderately large (n = 738) cohort of samples drawn from the Ashkenazi Jewish population. We developed a series of quality control steps to optimize sensitivity, specificity, and comprehensiveness of variant calls in the reference panel, and then tested the accuracy of imputation against target cohorts drawn from the same population. Quality control (QC) thresholds for the Illumina X Ten platform were identified that permitted highly accurate calling of single nucleotide variants across 94% of the genome. QC procedures also identified numerous regions that are poorly mapped using current reference or alternate assemblies. After stringent QC, the population-specific reference panel produced more accurate and comprehensive imputation results relative to publicly available, large cosmopolitan reference panels, especially in the range of rare variants that may be most critical to further progress in mapping of complex phenotypes. The population-specific reference panel also permitted enhanced filtering of clinically irrelevant variants from personal genomes.

Original languageEnglish
Pages (from-to)343-355
Number of pages13
JournalHuman Genetics
Issue number4
StatePublished - 1 Apr 2018

Bibliographical note

Publisher Copyright:
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature.

ASJC Scopus subject areas

  • Genetics(clinical)
  • Genetics


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