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对超过 100 万个样本进行等位基因水平基因分型:工作流程、算法和观察结果。

Allele-Level Genotyping of More Than a Million Samples: Workflow, Algorithm, and Observations.

机构信息

DKMS Life Science Lab, Dresden, Germany.

DKMS, Tübingen, Germany.

出版信息

Front Immunol. 2018 Dec 4;9:2843. doi: 10.3389/fimmu.2018.02843. eCollection 2018.

DOI:10.3389/fimmu.2018.02843
PMID:30564239
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6288436/
Abstract

The killer-cell immunoglobulin-like receptor () genes regulate natural killer cell activity, influencing predisposition to immune mediated disease, and affecting hematopoietic stem cell transplantation (HSCT) outcome. Owing to the complexity of the locus, with extensive gene copy number variation (CNV) and allelic diversity, high-resolution characterization of has so far been applied only to relatively small cohorts. Here, we present a comprehensive high-throughput genotyping approach based on next generation sequencing. Through PCR amplification of specific exons, our approach delivers both copy numbers of the individual genes and allelic information for every gene. Ten-fold replicate analysis of a set of 190 samples revealed a precision of 99.9%. Genotyping of an independent set of 360 samples resulted in an accuracy of more than 99% taking into account consistent copy number prediction. We applied the workflow to genotype 1.8 million stem cell donor registry samples. We report on the observed allele diversity and relative abundance of alleles based on a subset of more than 300,000 samples. Furthermore, we identified more than 2,000 previously unreported variants repeatedly in independent samples, underscoring the large diversity of the region that awaits discovery. This cost-efficient high-resolution genotyping approach is now applied to samples of volunteers registering as potential donors for HSCT. This will facilitate the utilization of as additional selection criterion to improve unrelated donor stem cell transplantation outcome. In addition, the approach may serve studies requiring high-resolution genotyping, like population genetics and disease association studies.

摘要

杀伤细胞免疫球蛋白样受体()基因调节自然杀伤细胞活性,影响免疫介导疾病的易感性,并影响造血干细胞移植(HSCT)的结果。由于 基因座的复杂性,具有广泛的基因拷贝数变异(CNV)和等位基因多样性,迄今为止,对 的高分辨率特征仅应用于相对较小的队列。在这里,我们提出了一种基于下一代测序的全面高通量 基因分型方法。通过对特定外显子的 PCR 扩增,我们的方法提供了每个 基因的基因拷贝数和等位基因信息。对 190 个样本的 10 倍重复分析显示精度为 99.9%。对 360 个独立样本的基因分型导致准确性超过 99%,同时考虑到一致的拷贝数预测。我们将工作流程应用于 180 万干细胞供体登记样本的基因分型。我们根据超过 300,000 个样本的子集报告了观察到的 等位基因多样性和等位基因相对丰度。此外,我们在独立样本中反复鉴定了 2000 多个以前未报道的 变体,强调了该 区域的多样性有待发现。这种具有成本效益的高分辨率 基因分型方法现在应用于作为潜在 HSCT 供体进行登记的志愿者的样本。这将有助于将 作为额外的选择标准来改善无关供体干细胞移植的结果。此外,该方法可用于需要高分辨率 基因分型的研究,如群体遗传学和疾病关联研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b761/6288436/9cad1f7368d2/fimmu-09-02843-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b761/6288436/093a27892188/fimmu-09-02843-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b761/6288436/4fd006edacba/fimmu-09-02843-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b761/6288436/b22c36610109/fimmu-09-02843-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b761/6288436/38e799828110/fimmu-09-02843-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b761/6288436/aa115b1db9fc/fimmu-09-02843-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b761/6288436/fa62dba142c7/fimmu-09-02843-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b761/6288436/9cad1f7368d2/fimmu-09-02843-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b761/6288436/093a27892188/fimmu-09-02843-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b761/6288436/4fd006edacba/fimmu-09-02843-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b761/6288436/b22c36610109/fimmu-09-02843-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b761/6288436/38e799828110/fimmu-09-02843-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b761/6288436/aa115b1db9fc/fimmu-09-02843-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b761/6288436/fa62dba142c7/fimmu-09-02843-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b761/6288436/9cad1f7368d2/fimmu-09-02843-g0007.jpg

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