Title | High-depth whole genome sequencing of an Ashkenazi Jewish reference panel: enhancing sensitivity, accuracy, and imputation. |
Publication Type | Journal Article |
Year of Publication | 2018 |
Authors | Lencz, T, Yu, J, Palmer, C, Carmi, S, Ben-Avraham, D, Barzilai, N, Bressman, S, Darvasi, A, Cho, JH, Clark, LN, Gümüş, ZH, Joseph, V, Klein, R, Lipkin, S, Offit, K, Ostrer, H, Ozelius, LJ, Peter, I, Atzmon, G, Pe'er, I |
Journal | Hum Genet |
Volume | 137 |
Issue | 4 |
Pagination | 343-355 |
Date Published | 2018 Apr |
ISSN | 1432-1203 |
Keywords | Genetic Variation, Genome, Human, Genome-Wide Association Study, Genotype, Haplotypes, Humans, Jews, Reference Standards, Whole Genome Sequencing |
Abstract | 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. |
DOI | 10.1007/s00439-018-1886-z |
Alternate Journal | Hum. Genet. |
PubMed ID | 29705978 |
PubMed Central ID | PMC6954822 |
Grant List | MH084098 / MH / NIMH NIH HHS / United States AG042188 / AG / NIA NIH HHS / United States R01 MH084098 / MH / NIMH NIH HHS / United States DK062422 / DK / NIDDK NIH HHS / United States R21 NS050487 / NS / NINDS NIH HHS / United States AG021654 / AG / NIA NIH HHS / United States U01 DK062429 / DK / NIDDK NIH HHS / United States P01 AG027734 / AG / NIA NIH HHS / United States RC2 MH089964 / MH / NIMH NIH HHS / United States NS050487 / NS / NINDS NIH HHS / United States 08929882 / / National Science Foundation / AG027734 / AG / NIA NIH HHS / United States R01 DK092235 / DK / NIDDK NIH HHS / United States R01 MH095458 / MH / NIMH NIH HHS / United States R01 AG042188 / AG / NIA NIH HHS / United States DK092235 / DK / NIDDK NIH HHS / United States P01 AG021654 / AG / NIA NIH HHS / United States MH095458 / MH / NIMH NIH HHS / United States U24 DK062429 / DK / NIDDK NIH HHS / United States CA121852 / CA / NCI NIH HHS / United States DK062429 / DK / NIDDK NIH HHS / United States 0845677 / / National Science Foundation / U01 DK062422 / DK / NIDDK NIH HHS / United States U54 CA121852 / CA / NCI NIH HHS / United States R01 NS060113 / NS / NINDS NIH HHS / United States MH089964 / MH / NIMH NIH HHS / United States NS060113 / NS / NINDS NIH HHS / United States |