RESUMEN
Bipolar disorder (BD) is a heritable mental illness with complex etiology. While the largest published genome-wide association study identified 64 BD risk loci, the causal SNPs and genes within these loci remain unknown. We applied a suite of statistical and functional fine-mapping methods to these loci, and prioritized 22 likely causal SNPs for BD. We mapped these SNPs to genes, and investigated their likely functional consequences by integrating variant annotations, brain cell-type epigenomic annotations, brain quantitative trait loci, and results from rare variant exome sequencing in BD. Convergent lines of evidence supported the roles of SCN2A, TRANK1, DCLK3, INSYN2B, SYNE1, THSD7A, CACNA1B, TUBBP5, PLCB3, PRDX5, KCNK4, AP001453.3, TRPT1, FKBP2, DNAJC4, RASGRP1, FURIN, FES, YWHAE, DPH1, GSDMB, MED24, THRA, EEF1A2, and KCNQ2 in BD. These represent promising candidates for functional experiments to understand biological mechanisms and therapeutic potential. Additionally, we demonstrated that fine-mapping effect sizes can improve performance and transferability of BD polygenic risk scores across ancestrally diverse populations, and present a high-throughput fine-mapping pipeline (https://github.com/mkoromina/SAFFARI).
RESUMEN
This is the first study exploring how temperament and character personality dimensions impact self-reported resilience in major depressive disorder (MDD) and bipolar disorder (BD). We included 130 euthymic patients with affective disorders (AFD; 66 MDD and 64 BD) and 134 healthy controls (HC). Connor and Davidson resilience scale and Temperament and Character Inventory (TCI-140) were administered. Multiple linear regressions and interaction analyses were performed. Mediation analyses examined if personality dimensions explained group differences in resilience. Resilience was lower in MDD and BD vs. HC and in MDD vs. BD, adjusting for sex, age and education. Higher resilience was predicted by lower harm avoidance (HA) and higher persistence (P) in AFD and MDD, lower HA in BD and higher P and self-directedness (SD) in HC. However, only HA and P had a group-specific effect on resilience in AFD vs. HC. In mediation analyses, specific TCI dimensions at least partially explained differences in resilience: HA, P and SD in AFD or MDD vs. HC; SD in BD vs. HC; P in BD vs. MDD. Concludingly, two temperament traits (HA, P) and a character trait (SD) predict resilience in AFD. Focusing on personality could identify sources of compromised resilience as potential treatment targets.