Banca de DEFESA: JULIA APOLONIO DE AMORIM

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : JULIA APOLONIO DE AMORIM
DATE: 04/07/2025
TIME: 09:00
LOCAL: Teams
TITLE:

Exploring the genetics of major depressive disorder: multi-omics analysis reveals new markers and effector genes

KEY WORDS:

Major Depressive Disorder, Colocalization, Genome-wide association studies, Mendelian Randomization

PAGES: 132
BIG AREA: Ciências Biológicas
AREA: Biologia Geral
SUMMARY:

This work explored the genetics of Major Depressive Disorder (MDD) through an integrated approach that combined multi-trait Genome-Wide Association Studies (GWAS) with functional genomics. Given the polygenic nature of depression and the challenge of "missing heritability", multi-trait analysis was employed to increase statistical power by leveraging the shared genetic architecture with other psychiatric disorders. The Multi-trait Analysis of GWAS software was utilized for this purpose, selecting phenotypes based on rigorous criteria of genetic correlation, ancestry, and sample size. After the multi-trait analysis, significant loci were annotated, and the majority of variants were found in non-coding regions of deoxyribonucleic acid, which motivated the performance of a colocalization study. For genome-wide Mendelian Randomization and colocalization, a bioinformatics pipeline called Causeway was developed, aiming to overcome the computational difficulties of existing software and ensure scalability and reproducibility with Nextflow. Colocalization analysis was performed between the multi-phenotype GWAS results and expression quantitative trait loci /protein quantitative trait loci data from blood and brain, identifying 59 significant colocalization regions, involving 31 variants and 45 distinct genes. These findings replicate previously reported genes and reveal new candidates with pharmacological potential, such as NT5C2 and ATF6B . The integration of genetic and omics data strengthens the biological reliability of the identified effector genes. The analysis also highlighted the effectiveness of colocalization in identifying potential drug targets, with 11 genes found to interact with approved or in-progress drugs, including some used for mood disorders. In summary, this work demonstrates the efficacy of multi-trait analysis and the Causeway pipeline in discovering and characterizing new genetic markers and effector genes for MDD. The findings provide valuable insights into the biology of depression, emphasizing the role of inflammation and cellular homeostasis, and open new avenues for investigating therapeutic targets and the development of more precise and personalized interventions.

COMMITTEE MEMBERS:
Externo à Instituição - ANDRÉ LUÍS FONSECA FAUSTINO - UFPA
Interna - 1365498 - BEATRIZ STRANSKY FERREIRA
Externo à Instituição - OTAVIO CABRAL MARQUES - USP
Presidente - 3330361 - VASILIKI LAGOU