Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Combining chromosome conformation capture and exome sequencing for simultaneous detection of structural and single-nucleotide variants. / Gridina, Maria; Lagunov, Timofey; Belokopytova, Polina и др.
в: Genome Medicine, Том 17, № 1, 47, 07.05.2025.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Combining chromosome conformation capture and exome sequencing for simultaneous detection of structural and single-nucleotide variants
AU - Gridina, Maria
AU - Lagunov, Timofey
AU - Belokopytova, Polina
AU - Torgunakov, Nikita
AU - Nuriddinov, Miroslav
AU - Nurislamov, Artem
AU - Nazarenko, Lyudmila P.
AU - Kashevarova, Anna A.
AU - Lopatkina, Maria E.
AU - Vasilyev, Stanislav
AU - Zuev, Andrey
AU - Belyaeva, Elena O.
AU - Salyukova, Olga A.
AU - Cheremnykh, Aleksandr D.
AU - Sukhanova, Natalia N.
AU - Minzhenkova, Marina E.
AU - Markova, Zhanna G.
AU - Demina, Nina A.
AU - Stepanchuk, Yana
AU - Khabarova, Anna
AU - Yan, Alexandra
AU - Valeev, Emil
AU - Koksharova, Galina
AU - Grigor’eva, Elena V.
AU - Kokh, Natalia
AU - Lukjanova, Tatiana
AU - Maximova, Yulia
AU - Musatova, Elizaveta
AU - Shabanova, Elena
AU - Kechin, Andrey
AU - Khrapov, Evgeniy
AU - Boyarskih, Uliana
AU - Ryzhkova, Oxana
AU - Suntsova, Maria
AU - Matrosova, Alina
AU - Karoli, Mikhail
AU - Manakhov, Andrey
AU - Filipenko, Maxim
AU - Rogaev, Evgeny
AU - Shilova, Nadezhda V.
AU - Lebedev, Igor N.
AU - Fishman, Veniamin
N1 - The study was supported by the Russian Science Foundation (#21–65 - 00017), https://rscf.ru/project/21-65-00017/. Study of P123 and Exo-C profiling of cancer cell lines A549 and K562 was supported by the grant of the state program of the “Sirius” Federal Territory “Scientific and technological development of the “Sirius” Federal Territory” (Agreement №26–03, 27/09/2024).
PY - 2025/5/7
Y1 - 2025/5/7
N2 - Background: Effective molecular diagnosis of congenital diseases hinges on comprehensive genomic analysis, traditionally reliant on various methodologies specific to each variant type—whole exome or genome sequencing for single nucleotide variants (SNVs), array CGH for copy-number variants (CNVs), and microscopy for structural variants (SVs). Methods: We introduce a novel, integrative approach combining exome sequencing with chromosome conformation capture, termed Exo-C. This method enables the concurrent identification of SNVs in clinically relevant genes and SVs across the genome and allows analysis of heterozygous and mosaic carriers. Enhanced with targeted long-read sequencing, Exo-C evolves into a cost-efficient solution capable of resolving complex SVs at base-pair accuracy. Results: Applied to 66 human samples Exo-C achieved 100% recall and 73% precision in detecting chromosomal translocations and SNVs. We further benchmarked its performance for inversions and CNVs and demonstrated its utility in detecting mosaic SVs and resolving diagnostically challenging cases. Conclusions: Through several case studies, we demonstrate how Exo-C’s multifaceted application can effectively uncover diverse causative variants and elucidate disease mechanisms in patients with rare disorders.
AB - Background: Effective molecular diagnosis of congenital diseases hinges on comprehensive genomic analysis, traditionally reliant on various methodologies specific to each variant type—whole exome or genome sequencing for single nucleotide variants (SNVs), array CGH for copy-number variants (CNVs), and microscopy for structural variants (SVs). Methods: We introduce a novel, integrative approach combining exome sequencing with chromosome conformation capture, termed Exo-C. This method enables the concurrent identification of SNVs in clinically relevant genes and SVs across the genome and allows analysis of heterozygous and mosaic carriers. Enhanced with targeted long-read sequencing, Exo-C evolves into a cost-efficient solution capable of resolving complex SVs at base-pair accuracy. Results: Applied to 66 human samples Exo-C achieved 100% recall and 73% precision in detecting chromosomal translocations and SNVs. We further benchmarked its performance for inversions and CNVs and demonstrated its utility in detecting mosaic SVs and resolving diagnostically challenging cases. Conclusions: Through several case studies, we demonstrate how Exo-C’s multifaceted application can effectively uncover diverse causative variants and elucidate disease mechanisms in patients with rare disorders.
UR - https://www.mendeley.com/catalogue/bf4fd420-2d49-3ce3-89de-325f5ae5675a/
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-105004469904&origin=inward&txGid=8af7753f39fca68983760c40ddd11f80
U2 - 10.1186/s13073-025-01471-3
DO - 10.1186/s13073-025-01471-3
M3 - Article
C2 - 40336115
VL - 17
JO - Genome Medicine
JF - Genome Medicine
SN - 1756-994X
IS - 1
M1 - 47
ER -
ID: 66251291