Construction of a trio-based structural variation panel utilizing activated T lymphocytes and long-read sequencing technology.

Construction of a trio-based structural variation panel utilizing activated T lymphocytes and long-read sequencing technology.
复制标题

DOI:
10.1038/s42003-022-03953-1
复制
发表时间:
2022-09-20
影响因子:
5.9
通讯作者:
--
中科院分区:
生物学2区
文献类型:
--
作者:

文献摘要

参考文献

被引文献

相似文献

长读长测序技术可以更好地表征结构变异 (SV)。为了使该技术适应群体规模的分析,一个关键问题是获得足够量的高分子量基因组 DNA。在这里,我们建议利用活化的T淋巴细胞,它可以在生物库中有效建立,以稳定地提供足够的高等级基因组DNA。我们利用高覆盖率长读长测序数据(深度 22.2x,N50 为 25.8kb)对 333 个个体(111 个三人组)进行了纳米孔测序,并鉴定了 74,201 个 SV。我们基于三重奏的分析表明,超过 95% 的 SV 与孟德尔遗传一致。我们还鉴定了与临床表型相关的 SV,所有这些似乎都能稳定地从父母传给后代。我们的数据提供了日本普通人群中的 SV 目录,并且使用激活的 T 淋巴细胞资源的应用方法将有助于基于生物库的人类遗传学研究,重点关注人口规模的 SV。对 333 个日本个体(代表 111 个亲子三人组)样本的激活 T 细胞进行长读测序,提供了日本人群结构变异的有用参考数据集。
Long-read sequencing technology enable better characterization of structural variants (SVs). To adapt the technology to population-scale analyses, one critical issue is to obtain sufficient amount of high-molecular-weight genomic DNA. Here, we propose utilizing activated T lymphocytes, which can be established efficiently in a biobank to stably supply high-grade genomic DNA sufficiently. We conducted nanopore sequencing of 333 individuals constituting 111 trios with high-coverage long-read sequencing data (depth 22.2x, N50 of 25.8 kb) and identified 74,201 SVs. Our trio-based analysis revealed that more than 95% of the SVs were concordant with Mendelian inheritance. We also identified SVs associated with clinical phenotypes, all of which appear to be stably transmitted from parents to offspring. Our data provide a catalog of SVs in the general Japanese population, and the applied approach using the activated T-lymphocyte resource will contribute to biobank-based human genetic studies focusing on SVs at the population scale. Long-read sequencing on activated T-cells from a sample of 333 Japanese individuals (representing 111 parent-offspring trios) provides a useful reference dataset of structural variation in the Japanese population.
DOI: 10.3389/fgene.2021.761791
发表时间: 2021
影响因子: 3.7
作者:
Bolognini D;Magi A
通讯作者: Magi A
来自1,092个人基因组的遗传变异的综合图。
DOI: 10.1038/nature11632
发表时间: 2012-11-01
期刊: Nature
影响因子: 64.8
作者:
通讯作者: --
DOI: 10.1111/ijlh.12401
发表时间: 2015-12-01
影响因子: 3
作者:
Cai, W. -J.;Li, J.;Li, D. -Z.
通讯作者: Li, D. -Z.
DOI: 10.1093/nar/gky955
发表时间: 2019-01-08
影响因子: 14.9
作者:
Frankish A;Diekhans M;Ferreira AM;Johnson R;Jungreis I;Loveland J;Mudge JM;Sisu C;Wright J;Armstrong J;Barnes I;Berry A;Bignell A;Carbonell Sala S;Chrast J;Cunningham F;Di Domenico T;Donaldson S;Fiddes IT;García Girón C;Gonzalez JM;Grego T;Hardy M;Hourlier T;Hunt T;Izuogu OG;Lagarde J;Martin FJ;Martínez L;Mohanan S;Muir P;Navarro FCP;Parker A;Pei B;Pozo F;Ruffier M;Schmitt BM;Stapleton E;Suner MM;Sycheva I;Uszczynska-Ratajczak B;Xu J;Yates A;Zerbino D;Zhang Y;Aken B;Choudhary JS;Gerstein M;Guigó R;Hubbard TJP;Kellis M;Paten B;Reymond A;Tress ML;Flicek P
通讯作者: Flicek P
DOI: 10.1056/nejmoa041888
发表时间: 2004-12-30
影响因子: 158.5
作者:
Gasche, Y;Daali, Y;Desmeules, J
通讯作者: Desmeules, J