Integrative in silico analysis of KLF14: prioritizing high-impact nsSNPs and miRNA-mediated regulation in metabolic disorders

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Key Points

High-impact nonsynonymous SNPs (nsSNPs) in KLF14 are prioritized for their relevance to metabolic disorders, suggesting key genetic influences on these conditions.
The analysis reveals potential miRNA-mediated regulation of KLF14, indicating a complex interaction between genetic variants and regulatory mechanisms.
In silico analysis employs computational methods to analyze biological data, indicating a novel approach to understanding metabolic dysregulation.
Understanding these regulatory pathways may enable new therapeutic strategies for managing metabolic disorders effectively.

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Integrative analysis identifies impactful nsSNPs and miRNA regulation in metabolic disorders, highlighting potential targets for intervention.

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Riaz et al. (2026) studied this question.

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