Elizaveta Evgenevna Elgaeva

Ms. Elizaveta Evgenevna Elgaeva

Institute of Cytology and Genetics, Novosibirsk, Novosibirskaya Oblast’, Russia
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orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 June 2020 in Communications Biology
Verified
Journal Article
Open access
PDF file
YTYakov Tsepilov
Yakov Tsepilov
MFMaxim B. Freidin
Maxim B. Freidin
ASAlexandra S. Shadrina
Alexandra S. Shadrina
SSSodbo Sharapov
Sodbo Sharapov
EEElizaveta Evgenevna Elgaeva
Elizaveta Evgenevna Elgaeva
YAYurii S. Aulchenko
Yurii S. Aulchenko
Chronic musculoskeletal pain affects all aspects of human life. However, mechanisms of its genetic control remain poorly understood. Genetic studies of pain are complicated by the high complexity and heterogeneity of pain phenotypes. Here, we apply principal component analysis to reduce phenotype heterogeneity of chronic musculoskeletal pain at four locations: the back, neck/shoulder, hip, and knee. Using matrices of genetic covariances, we constructed four genetically independent phenotypes (GIPs) with the leading GIP (GIP1) explaining 78.4% of the genetic variance of the analyzed conditions, and GIP2–4 explain progressively less. We identified and replicated five GIP1-associated loci and one GIP2-associated locus and prioritized the most likely causal genes. For GIP1, we showed enrichment with multiple nervous system-related terms and genetic correlations with anthropometric, sociodemographic, psychiatric/personality traits and osteoarthritis. We suggest that GIP1 represents a biopsychological component of chronic musculoskeletal pain, related to physiological and psychological aspects and reflecting pain perception and processing.

3 December 2019 in European Spine Journal
Verified
Journal Article
Closed access
PDF file
EEElizaveta Evgenevna Elgaeva
Elizaveta Evgenevna Elgaeva
YTYakov Tsepilov
Yakov Tsepilov
MFMaxim Freidin
Maxim Freidin
FWFrances M. K. Williams
Frances M. K. Williams
YAYurii Aulchenko
Yurii Aulchenko
PSPradeep Suri
Pradeep Suri

1 November 2020 in Reproductive BioMedicine Online
Verified
Journal Article
Closed access
IPIrina Ponomarenko
Irina Ponomarenko
EREvgeny Reshetnikov
Evgeny Reshetnikov
APAlexey Polonikov
Alexey Polonikov
IVIrina Verzilina
Irina Verzilina
ISInna Sorokina
Inna Sorokina
MCMikhail Churnosov
Mikhail Churnosov

14 April 2023 in The Spine Journal
Verified
Journal Article
Closed access
PSPradeep Suri
Pradeep Suri
EEElizaveta Evgenevna Elgaeva
Elizaveta Evgenevna Elgaeva
FWFrances M.K. Williams
Frances M.K. Williams
MFMaxim B. Freidin
Maxim B. Freidin
OZOlga O. Zaytseva
Olga O. Zaytseva
YTYakov A. Tsepilov
Yakov A. Tsepilov

9 February 2021 in Glycobiology
Verified
Journal Article
Closed access
PDF file
SSSodbo Sharapov
Sodbo Sharapov
ASAlexandra S Shadrina
Alexandra S Shadrina
YTYakov Tsepilov
Yakov Tsepilov
EEElizaveta Evgenevna Elgaeva
Elizaveta Evgenevna Elgaeva
ETEvgeny S Tiys
Evgeny S Tiys
YAYurii S Aulchenko
Yurii S Aulchenko
Human protein glycosylation is a complex process, and its in vivo regulation is poorly understood. Changes in glycosylation patterns are associated with many human diseases and conditions. Understanding the biological determinants of protein glycome provides a basis for future diagnostic and therapeutic applications. Genome-wide association studies (GWAS) allow to study biology via a hypothesis-free search of loci and genetic variants associated with a trait of interest. Sixteen loci were identified by three previous GWAS of human plasma proteome N-glycosylation. However, the possibility that some of these loci are false positives needs to be eliminated by replication studies, which have been limited so far. Here, we use the largest set of samples so far (4802 individuals) to replicate the previously identified loci. For all but one locus, the expected replication power exceeded 95%. Of the 16 loci reported previously, 15 were replicated in our study. For the remaining locus (near the KREMEN1 gene), the replication power was low, and hence, replication results were inconclusive. The very high replication rate highlights the general robustness of the GWAS findings as well as the high standards adopted by the community that studies genetic regulation of protein glycosylation. The 15 replicated loci present a good target for further functional studies. Among these, eight loci contain genes encoding glycosyltransferases: MGAT5, B3GAT1, FUT8, FUT6, ST6GAL1, B4GALT1, ST3GAL4 and MGAT3. The remaining seven loci offer starting points for further functional follow-up investigation into molecules and mechanisms that regulate human protein N-glycosylation in vivo.

1 June 2023 in The Journal of Pain
Verified
Journal Article
Closed access
EEElizaveta Evgenevna Elgaeva
Elizaveta Evgenevna Elgaeva
FWFrances M.K. Williams
Frances M.K. Williams
OZOlga O. Zaytseva
Olga O. Zaytseva
MFMaxim B. Freidin
Maxim B. Freidin
YAYurii S. Aulchenko
Yurii S. Aulchenko
YTYakov A. Tsepilov
Yakov A. Tsepilov