6 research outputs found

    Genetic correlation between amyotrophic lateral sclerosis and schizophrenia

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    A. Palotie on työryhmän Schizophrenia Working Grp Psychiat jäsen.We have previously shown higher-than-expected rates of schizophrenia in relatives of patients with amyotrophic lateral sclerosis (ALS), suggesting an aetiological relationship between the diseases. Here, we investigate the genetic relationship between ALS and schizophrenia using genome-wide association study data from over 100,000 unique individuals. Using linkage disequilibrium score regression, we estimate the genetic correlation between ALS and schizophrenia to be 14.3% (7.05-21.6; P = 1 x 10(-4)) with schizophrenia polygenic risk scores explaining up to 0.12% of the variance in ALS (P = 8.4 x 10(-7)). A modest increase in comorbidity of ALS and schizophrenia is expected given these findings (odds ratio 1.08-1.26) but this would require very large studies to observe epidemiologically. We identify five potential novel ALS-associated loci using conditional false discovery rate analysis. It is likely that shared neurobiological mechanisms between these two disorders will engender novel hypotheses in future preclinical and clinical studies.Peer reviewe

    Representation Justice As a Research Agenda for Socio-Hydrology and Water Governance

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    We propose representation justice as a theoretical lens for socio-hydrology and water governance studies. An exploratory survey of 496 water sector employees in the United States revealed that self-identifying females felt more strongly discriminated against due to their gender and other social factors, compared to self-identifying males. Responses unveiled how macro- and microaggressions impede career pathways to leadership positions and, therefore, representation. We identify ways in which socio-hydrology can benefit from a representation justice lens by considering the following: (1) how power and politics shape the composition of the water sector and decision-making processes; (2) how available quantitative data do not account for lived experiences of individuals in the water sector; and (3) how intersectionality cannot easily be accounted for in current socio-hydrological models. We offer a representation justice research and water management agenda that goes beyond quota filling to include meaningful engagement with diverse groups, lenses, and knowledge
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