Dataset Information

Human exome sequence data in support of somatic mosaicism in carotid atherosclerosis.

ABSTRACT: Understanding the mechanisms underlying the connection between somatic mosaicism and cardiovascular disease is likely essential for the future of personalized medicine. This article is aimed at providing data on somatic mosaicism in human carotid atherosclerosis. An advanced carotid atherosclerotic plaque and white blood cells were collected simultaneously from each patient (eight Slavic males, aged 67 ± 3.8 years [mean ± SD]) to assess the spectrum of germline and somatic genetic variants. Exome sequencing of DNA from the samples was performed with the SureSelect Clinical Research Exome Enrichment Kit (Agilent Technologies) and HiSeq 1500 (Illumina). The dataset contains germline and somatic single-nucleotide variants and small indels identified in the advanced carotid atherosclerotic plaque and white blood cells of each patient. This dataset does not include copy number variants owing to a lack of suitable tools for reliable calculation of copy numbers from exome sequencing data on cancer-unrelated samples. The dataset should help to understand somatic mosaicism in cardiovascular diseases and to identify copy number variants by means of more appropriate newer tools in the future.

SUBMITTER: Sleptcov AA

PROVIDER: S-EPMC8646118 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

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Human exome sequence data in support of somatic mosaicism in carotid atherosclerosis.

Sleptcov Alexei A AA Zarubin Alexei A AA Bogaychuk Polina M PM Kuznetsov Mikhail S MS Kozlov Boris N BN Nazarenko Maria S MS

Data in brief 20211201

Understanding the mechanisms underlying the connection between somatic mosaicism and cardiovascular disease is likely essential for the future of personalized medicine. This article is aimed at providing data on somatic mosaicism in human carotid atherosclerosis. An advanced carotid atherosclerotic plaque and white blood cells were collected simultaneously from each patient (eight Slavic males, aged 67 ± 3.8 years [mean ± SD]) to assess the spectrum of germline and somatic genetic variants. Exom ...[more]

PMID: 34917707

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Project description:Somatic mutations in individual cells lead to genomic mosaicism, contributing to the intricate regulatory landscape of genetic disorders and cancers. To evaluate and refine the detection of somatic mosaicism across different technologies with personalized donor-specific assembly (DSA), we obtained tissue from the dorsolateral prefrontal cortex (DLPFC) of a post-mortem neurotypical 31-year-old individual. We sequenced bulk DLPFC tissue using Oxford Nanopore Technologies (~60X), NovaSeq (~30X), and linked-read sequencing (~28X). Additionally, we applied Cas9 capture methodology coupled with long-read sequencing (TEnCATS), targeting active transposable elements. We also isolated and amplified DNA from flow-sorted single DLPFC neurons using MALBAC, sequencing 115 of these MALBAC libraries on Nanopore and 94 on NovaSeq. We constructed a haplotype-resolved assembly with a total length of 5.77 Gb and a phase block length of 2.67 Mb (N50) to facilitate cross-platform analysis of somatic genetic variations. We observed an increase in the phasing rate from 11.6% to 38.0% between short-read and long-read technologies. By generating a catalog of phased germline SNVs, CNVs, and TEs from the assembled genome, we applied standard approaches to recall these variants across sequencing technologies. We achieved aggregated recall rates from 97.3% to 99.4% based on long-read bulk tissue data, setting an upper bound for detection limits. Moreover, utilizing haplotype-based analysis from DSA, we achieved a remarkable reduction in false positive somatic calls in bulk tissue, ranging from 14.9% to 72.4%. We developed pipelines leveraging DSA information to enhance somatic large genetic variant calling in long-read single cells. By examining somatic variation using long-reads in 115 individual neurons, we identified 468 candidate somatic heterozygous large deletions (1.5Mb - 20Mb), 137 of which intersected with short-read single-cell data. Additionally, we identified 61 putative somatic TEs (60 Alus, one LINE-1) in the single-cell data. Collectively, our analysis spans personalized assembly to single-cell somatic variant calling, providing a comprehensive ab initio ad finem approach and resource in real human tissue.

Dataset Information

Human exome sequence data in support of somatic mosaicism in carotid atherosclerosis.

Publications

Human exome sequence data in support of somatic mosaicism in carotid atherosclerosis.

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