Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis DOI Creative Commons
Gianpaolo Zammarchi, Claudia Pisanu

Computational Statistics, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 23, 2024

Language: Английский

Determining the diagnostic cut-off on the Chinese version of severity of dependence scale for cannabis DOI Creative Commons
Albert K. Chung, Cheuk Yin Tse

Frontiers in Psychiatry, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 7, 2025

Cannabis use and misuse are surging among the Chinese community in East Southeast Asia. A quick screening instrument that can effectively identify users with dependence for early intervention is utmost need. This study examined psychometric properties of version Severity Dependence Scale cannabis (C-SDS-C) DSM-5 defined Use Disorder (CUD). retrospective chart review was conducted on Chinese-speaking individuals reporting from three different substance studies. Their demographic data, frequency within past 30 days, scorings C-SDS-C severity CUD at baseline were analyzed. The exhibited high reliability (Cronbach's alpha = 0.778). It had a strong correlation (r 0.456, p <.001) moderate days 0.335, .001). All items loaded into single factor which accounted 56.64% variance. Receiver operating characteristic analysis demonstrated cut-off score ≥ 3 provided optimal discrimination to severe using cannabis. valid reliable moderate-to-severe population.

Language: Английский

Citations

0

Genome-wide association studies of lifetime and frequency cannabis use in 131,895 individuals DOI Creative Commons
Hayley H. A. Thorpe, Pierre Fontanillas, John J. Meredith

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 16, 2024

Cannabis is one of the most widely used drugs globally. Decriminalization cannabis further increasing consumption. We performed genome-wide association studies (GWASs) lifetime (N=131,895) and frequency (N=73,374) use. Lifetime use GWAS identified two loci, near CADM2 (rs11922956, p=2.40E-11) another GRM3 (rs12673181, p=6.90E-09). Frequency locus (rs4856591, p=8.10E-09; r2 =0.76 with rs11922956). Both traits were heritable genetically correlated previous GWASs disorder (CUD), as well other substance cognitive traits. Polygenic scores (PGSs) for associated phenotypes in AllofUs participants. Phenome-wide study PGS a hospital cohort replicated associations mood disorders, uncovered celiac infectious diseases. This work demonstrates value CUD transition risk factors.

Language: Английский

Citations

1

Shared genetic architecture and causal pathways between attention deficit hyperactivity disorder and restless legs syndrome DOI Open Access

Fu-Jia Li,

Jin-Yu Li,

Ru-Yu Zhang

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 21, 2024

Abstract Previous studies have revealed a significant overlap between ADHD and RLS populations, with shared pathological mechanisms such as dopaminergic function iron metabolism deficits. However, the genetic underlying these connections remain unclear. In our study, we conducted genome-wide correlation analysis to confirm structure RLS. We identified five pleiotropic loci through PLACO analysis, colocalization revealing causal variant, rs12336113, located in an intron of PTPRD gene within one loci. Additionally, 14 potential genes biological pathways diseases. Protein-protein interaction demonstrated close interactions among six genes: PTPRD, MEIS1, MAP2K5, SKOR1, BTBD9, TOX3. further investigated gene-driven using univariable Mendelian randomization (MR), multivariable MR, Network MR analyses. Our findings indicate that may indirectly promote onset by advancing age first birth, while could contribute reducing fractional anisotropy body corpus callosum. Notably, increase radial diffusivity, rather than decrease axial played crucial role this process. conclusion, research supports link RLS, identifying most likely conditions. Moreover, causing demyelination

Language: Английский

Citations

0

Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis DOI Creative Commons
Gianpaolo Zammarchi, Claudia Pisanu

Computational Statistics, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 23, 2024

Language: Английский

Citations

0