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Genetic
and molecular insights into bipolar disorder: A genome-wide association study
and bioinformatics analysis
J.P. Timmapuram1*,
G. Baby Shalini2, T. Poojasree3, S. Vasishta4
and K. Farzia4
1Department
of Psychiatry, Apollo Institute of Medical Sciences and Research Chittoor,
Murukambattu - 517 127, India
2Department
of OBG, Apollo Institute of Medical Sciences and Research Chittoor,
Murukambattu - 517 127, India
3Department
of Psychiatry, Apollo Institute of Medical Sciences and Research Chittoor,
Murukambattu - 517 127, India
4Department
of Biochemistry, Apollo Institute of Medical Sciences and Research Chittoor,
Murukambattu - 517 127, India
Received: 29 November
2025 Revised: 04 May 2026 Accepted:
12 May 2026
*Corresponding Author Email: jayapriya_t@aimsrchittoor.edu.in
*ORCiD: https://orcid.org/0009 0005 8604 6767
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Abstract
Aim: Bipolar disorder is
a multifactorial psychiatric condition characterized by mood dysregulation.
Although its heritability is established, the underlying genetic mechanism
still remains incomplete. Herein, the aim of this study was to integrate
genome-wide association study data with functional analyses in order to
nominate key genetic loci, and pathways and regulatory mechanisms involved in
bipolar disorder.
Methodology:
Public
datasets for GWAS-identified bipolar disorder variants were downloaded and
subjected to functional enrichment, protein-protein interaction mapping, and
miRNA target prediction. The analyses focused on GO, Reactome, and KEGG
pathway enrichment, as well as metabolomic and transcription factor analyses,
to assess molecular dysregulation in bipolar disorder.
Results:
Mitochondrial
function, PALB2, RHOU; immune response, HLA-B, DPY19L3;
synaptic signaling, KCNU1, DPP10; and metabolic processes. PPI analysis
highlighted hub proteins such as PTK2 and PAK1, which might be
regulatory proteins, while miRNA analysis revealed hsa-miR-126-3p and
hsa-miR-452-5p as post-transcriptional regulators. Metabolomic assessment
showed perturbations in GTP-binding proteins and magnesium homeostasis.
Interpretation:
This
integrative analysis enhances knowledge on the genetic and molecular
architecture of bipolar disorder, reinforcing its polygenic nature and
implicating mitochondrial dysfunction, immune dysregulation, and
neurotransmitter imbalances. The identified pathways provide potential
targets for therapeutic intervention, emphasizing the role of precision
medicine in the management of bipolar disorder.
Key
words: Bipolar
disorder, GWAS, Bioinformatics, Genetic loci, Molecular mechanisms
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