Journal: medRxiv

Article Title: The genetic architecture of fibromyalgia across 2.5 million individuals

doi: 10.1101/2025.09.18.25335914

Figure Lengend Snippet: Fibromyalgia heritability enrichments among variants inside or within 100 kilobases of genes with enriched expression in a) tissues in the Genotype-Tissue Expression (GTEx) project, and b) cell types in PanSci, a ∼20 million whole-mouse single-cell atlas. Results are shown as negative log p-values for enrichment, grouped and colored by tissue group (GTEx) or cell lineage (PanSci), with random side-to-side jitter for visibility. Bonferroni-significant tissues and cell types are labeled. Full results are listed in Table S7-S9.

Article Snippet: The four fibromyalgia case/control GWASs performed at deCODE Genetics/Amgen (Iceland, Denmark, US Intermountain Health and US NashBio) all used the ICD-10 diagnosis M79.7 to define cases and no exclusions were applied to controls.

Techniques: Expressing, Labeling

Journal: medRxiv

Article Title: The genetic architecture of fibromyalgia across 2.5 million individuals

doi: 10.1101/2025.09.18.25335914

Figure Lengend Snippet: a) Genetic correlations of the 337 disease endpoints with Bonferroni-significant genetic correlations with fibromyalgia, grouped by disease area. The area of each circle is proportional to the logarithm of its genetic correlation p-value. b) Genetic correlations of the 18 diseases with genetic correlation greater than 0.7; error bars denote 95% confidence intervals. Full results are listed in Table S10.

Article Snippet: The four fibromyalgia case/control GWASs performed at deCODE Genetics/Amgen (Iceland, Denmark, US Intermountain Health and US NashBio) all used the ICD-10 diagnosis M79.7 to define cases and no exclusions were applied to controls.

Techniques:

Journal: Frontiers in Psychiatry

Article Title: Genomic structural equation study reveals links between anorexia nervosa and delay discounting and lack of perseverance but not other facets of impulsivity

doi: 10.3389/fpsyt.2025.1613776

Figure Lengend Snippet: Genetic correlation model with AN, impulsivity facets, SUDs, delay discounting, sensation seeking, and lack of perseverance, adapted from prior studies . Ovals indicate latent factors, and squares indicate individual GWAS summary statistics. In this model, a “common impulsivity” factor successfully captured the shared variance across selected measures of the UPPS-P and BIS scales. To capture the particularly high correlation among UPPS-P negative urgency and UPPS-P positive urgency subscales, we included a second latent factor called “urgency-specific impulsivity”, which was fixed to be uncorrelated with genetic variance in common impulsivity. The four SUDs were modeled using a single factor (“substance use disorders”). The values under each trait represent the residual variances of the indicators. The colors are included for ease of visualization (e.g., black, correlations with AN; blue, correlations with SUDs; orange, correlations among impulsivity facets). UPPS-P NU, UPPS-P Negative Urgency; UPPS-P PU, UPPS-P Positive Urgency; UPPS-P Premed, UPPS-P Premediation; BIS Nonplan, BIS Nonplanning; SUDs, substance use disorders; PAU, problematic alcohol use; CUD, cannabis use disorder; OUD, opioid use disorder; TUD, tobacco use disorder; SS, BIS Sensation Seeking; Persev, BIS Lack of Perseverance; DD, delay discounting; AN, anorexia nervosa; GWASs, genome-wide association studies.

Article Snippet: GWASs of impulsivity were based on a sample of up to 133,517 23andMe Inc. research participants ( , ).

Techniques: Cannabis, GWAS