Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Sci Rep. 2016 Dec 22;6:39313. doi: 10.1038/srep39313.
Imputation using the 1000 Genomes haplotype reference panel has been widely adapted to estimate genotypes in genome wide association studies. To evaluate imputation quality with a relatively larger reference panel and a reference panel composed of different ethnic populations, we conducted imputations in the Framingham Heart Study and the North Chinese Study using a combined reference panel from the 1000 Genomes (N = 1,092) and UK10K (N = 3,781) projects. For rare variants with 0.01% < MAF ≤ 0.5%, imputation in the Framingham Heart Study with the combined reference panel increased well-imputed genotypes (with imputation quality score ≥0.4) from 62.9% to 76.1% when compared to imputation with the 1000 Genomes. For the North Chinese samples, imputation of rare variants with 0.01% < MAF ≤ 0.5% with the combined reference panel increased well-imputed genotypes by from 49.8% to 61.8%. The predominant European ancestry of the UK10K and the combined reference panels may explain why there was less of an increase in imputation success in the North Chinese samples. Our results underscore the importance and potential of larger reference panels to impute rare variants, while recognizing that increasing ethnic specific variants in reference panels may result in better imputation for genotypes in some ethnic groups.
使用 1000 基因组单体型参考面板进行插补已被广泛用于估计全基因组关联研究中的基因型。为了评估使用相对较大的参考面板和由不同种族群体组成的参考面板进行插补的质量,我们使用来自 1000 基因组(N=1092)和 UK10K(N=3781)项目的联合参考面板在弗雷明汉心脏研究和中国北方研究中进行了插补。对于 MAF 为 0.01%<MAF≤0.5%的罕见变异,与使用 1000 基因组进行插补相比,在弗雷明汉心脏研究中使用联合参考面板将基因型的良好插补率(插补质量评分≥0.4)从 62.9%提高到 76.1%。对于中国北方样本,使用联合参考面板对 MAF 为 0.01%<MAF≤0.5%的罕见变异进行插补,将良好插补的基因型比例从 49.8%提高到 61.8%。UK10K 和联合参考面板主要是欧洲血统,这可能解释了为什么在中国北方样本中,插补成功率的提高幅度较小。我们的结果强调了更大的参考面板在插补罕见变异方面的重要性和潜力,同时认识到在参考面板中增加特定于种族的变异可能会导致某些种族群体的基因型插补效果更好。