Keira J.A. Johnston

A computational genetic- and transcriptomics-based study nominates drug repurposing candidates for the treatment of chronic pain

This paper identifies drug repurposing candidates for chronic pain using genetics and transcriptomics, finding drugs with opposing gene expression effects to the disease.

The impact of chronic pain on brain gene expression

The paper identifies gene expression changes in brain regions associated with chronic pain, highlighting BLA microglia as a key cell type and finding distinct gene expression patterns compared to other pain-related traits.

BMI Interacts with the Genome to Regulate Gene Expression Globally, with Emphasis in the Brain and Gut

The paper identifies BMI-dynamic gene expression loci in the brain and gut, showing how BMI interacts with genetic variants to influence gene expression and disease-related pathways.

Chronic Overlapping Pain Conditions and Nociplastic Pain

The paper identifies genetic variants and pathways associated with nociplastic type pain using GWAS and TWAS analyses of chronic overlapping pain conditions.

Decoding the transcriptomic signatures of psychological trauma in human cortex and amygdala

The paper investigates transcriptional signatures of trauma in human brain regions using RNA-seq data from 304 donors, identifying differential vulnerability of cortical and amygdala regions to different trauma types.

Chronic pain gene expression changes in the brain and relationships with clinical traits

The paper uses transcriptomic imputation to identify gene expression changes in brain tissues and blood linked to chronic pain and finds associations with clinical traits.

Sex-Stratified Genome-Wide Association Study of Multisite Chronic Pain in UK Biobank

This study conducts a sex-stratified genome-wide association study of multisite chronic pain in UK Biobank, identifying sex-specific genetic loci and highlighting sex differences in chronic pain mechanisms.

The overlap of genetic susceptibility to schizophrenia and cardiometabolic disease can be used to identify metabolically different groups of individuals

The paper identifies metabolically distinct groups using genetic overlap between schizophrenia and cardiometabolic disease in two cohorts.

Carotid intima-media thickness in UK Biobank: Identification of novel genome-wide loci, sex-specific effects and genetic correlations with obesity and glucometabolic traits.

Novel genome-wide associations for anhedonia, genetic correlation with psychiatric disorders, and polygenic association with brain structure.

This study identifies 11 novel genome-wide significant loci for anhedonia, finds genetic correlations with major depressive disorder, schizophrenia, and bipolar disorder, and shows polygenic associations with brain structure.

Identification of novel common variants associated with chronic pain using conditional false discovery rate analysis with major depressive disorder and assessment of pleiotropic effects of LRFN5.

This study identifies 11 novel SNPs associated with chronic pain and MDD using cFDR analysis, finding pleiotropy involving LRFN5 and other genes.

Genome-wide Association Study of Multisite Chronic Pain in UK Biobank

This study conducts a genome-wide association study of Multisite Chronic Pain in UK Biobank, identifying genetic variants and pathways associated with chronic pain.

The genomic basis of mood instability: identification of 46 loci in 363,705 UK Biobank participants, genetic correlation with psychiatric disorders, and association with gene expression and function.

This paper conducts a GWAS of mood instability in 363,705 UK Biobank participants, identifies 46 loci, and finds genetic correlations with psychiatric disorders and brain-specific gene expression.

Novel genome-wide associations for suicidality in UK Biobank, genetic correlation with psychiatric disorders and polygenic association with completed suicide.

This paper identifies three novel genome-wide significant loci for suicidality using UK Biobank data and finds strong genetic correlations with depression and increased polygenic risk for completed suicide.

Genome-wide association study of circadian rhythmicity in 71 500 UK Biobank participants and polygenic association with mood instability

This study identifies genetic loci associated with circadian rhythmicity using UK Biobank data and finds polygenic associations with mood instability and major depressive disorder.