In Silico Systems Biology Approach for Prioritization of Candidate Genes Linked to Lipid Metabolism in the Context of Cardiovascular Disease Susceptibility in a Serbian Cohort.

Tamara Drljača, Vladimir Perović, Nevena Veljković, Branislava Gemović

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Article in Current issues in molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Tamara DrljačaLaboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences Vinča, National Institute of the Republic of Serbia, University of Belgrade, 11000 Belgrade, Serbia.ORCID 0000-0002-1644-2538

Vladimir PerovićLaboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences Vinča, National Institute of the Republic of Serbia, University of Belgrade, 11000 Belgrade, Serbia.ORCID 0000-0002-3700-6452

Nevena VeljkovićLaboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences Vinča, National Institute of the Republic of Serbia, University of Belgrade, 11000 Belgrade, Serbia.

Branislava GemovićLaboratory for Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences Vinča, National Institute of the Republic of Serbia, University of Belgrade, 11000 Belgrade, Serbia.ORCID 0000-0002-8987-020X

Funding

Ministry of Science, Technological Development, and Innovation 451-03-66/2024-03/200017

6 · The paper itself

Abstract

backgroundThe population of Serbia faces a significant burden from cardiovascular diseases (CVDs). This study aimed to computationally investigate genetic factors that contribute to the prevalence of these diseases by examining the possible involvement of common variants on lipid metabolism.

methodsWe examined how a variant prevalent in the Serbian population, chr7:g.56019730G>A in the

resultsThe PSP interactions affected by the R49W variant, such as SHMT1/2, were primarily in pathways associated with serine, glycine, and sphingolipid metabolism, highly relevant for CVD etiology. Further, we identified frequent variant combinations within the

conclusionsThis study underscores the importance of investigating genetic variant combinations in complex diseases, and provides a hypothesis generating foundation for future research into the relationship between these genes and cardiovascular diseases.

Indexed as

cardiovascular diseasescomputational biologylipid metabolismPSPHvariant combinations

Identifiers

PMID42353617

DOI10.3390/cimb48060613

PMCPMC13298024

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.