rs12136984 - RN7SKP19 - LINC01360

Magnitude 2.2 · 5 studies on file

Reported associations

• The Australian Genetics of Depression Study: New Risk Loci and Dissecting Heterogeneity Between Subtypes. - Biological psychiatry (2022) · Mitchell BL, Campos AI, Whiteman DC, Olsen CM, Gordon SD, Walker AJ, Dean OM, Berk M, Hickie IB, Medland SE, Wray NR, Martin NG, Byrne EM · PubMed 34924174

  Major depressive disorder (MDD) is a common and highly heterogeneous psychiatric disorder, but little is known about the genetic characterization of this heterogeneity. Understanding the genetic etiology of MDD can be challenging because large sample sizes are needed for gene discovery-often achieved with a trade-off in the depth of phenotyping. The Australian Genetics of Depression Study is the largest stand-alone depression cohort with both genetic data and in-depth phenotyping and comprises a total of 15,792 participants of European ancestry, 92% of whom met diagnostic criteria for MDD. We leveraged the unique nature of this cohort to conduct a meta-analysis with the largest publicly available depression genome-wide association study to date and subsequently used polygenic scores to inv

• Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference - Unknown journal (n.d.) · Unknown authors · PubMed 38177345

  ABSTRACT: Most genome-wide association studies (GWAS) of major depression (MD) have been conducted in samples of European ancestry. Here we report a multi-ancestry GWAS of MD, adding data from 21 cohorts with 88,316 MD cases and 902,757 controls to previously reported data. This analysis used a range of measures to define MD and included samples of African (36% of effective sample size), East Asian (26%) and South Asian (6%) ancestry and Hispanic/Latin American participants (32%). The multi-ancestry GWAS identified 53 significantly associated novel loci. For loci from GWAS in European ancestry samples, fewer than expected were transferable to other ancestry groups. Fine mapping benefited from additional sample diversity. A transcriptome-wide association study identified 205 significantly a

• Investigating evidence for a causal association between inflammation and self-harm: A multivariable Mendelian Randomisation study - Unknown journal (n.d.) · Unknown authors · PubMed 32473944

  ABSTRACT: Highlights Observational studies of the role of inflammation on self-harm have conflicting results. We used Mendelian Randomisation, a novel causal inference technique to explore this. Genetic liability for high levels of IL-6 were not associated with self-harm. We found some evidence that higher levels of CRP were protective for self-harm. This potential protective effect of CRP has also been found for schizophrenia. Background The causal role of inflammatory markers on self-harm and suicidal risk has been studied using observational data, with conflicting results. Confounding and reverse causation can lead to bias, so we appraised question from a genetic perspective to protect against these biases. We measured associations between genetic liability for high levels of inflammato

• Using phenotype risk scores to enhance gene discovery for generalized anxiety disorder and posttraumatic stress disorder - Unknown journal (n.d.) · Unknown authors · PubMed 35181757

  ABSTRACT: UK Biobank (UKB) is a key contributor in mental health genome-wide association studies (GWAS) but only ~31% of participants completed the Mental Health Questionnaire ("MHQ responders"). We predicted generalized anxiety disorder (GAD), posttraumatic stress disorder (PTSD), and major depression symptoms using elastic net regression in the ~69% of UKB participants lacking MHQ data ("MHQ non-responders"; NTraining=50%; NTest=50%), maximizing the informative sample for these traits. MHQ responders were more likely to be female, from higher socioeconomic positions, and less anxious than non-responders. Genetic correlation of GAD and PTSD between MHQ responders and non-responders ranged from 0.636-1.08; both were predicted by polygenic scores generated from independent cohorts.

• Integrative analysis of genome-wide association studies identifies novel loci associated with neuropsychiatric disorders - Unknown journal (n.d.) · Unknown authors · PubMed 33479212

  ABSTRACT: Neuropsychiatric disorders, such as autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), schizophrenia (SCZ), bipolar disorder (BIP), and major depressive disorder (MDD) share common clinical presentations, suggesting etiologic overlap. A substantial proportion of SNP-based heritability for neuropsychiatric disorders is attributable to genetic components, and genome-wide association studies (GWASs) focusing on individual diseases have identified multiple genetic loci shared between these diseases. Here, we aimed at identifying novel genetic loci associated with individual neuropsychiatric diseases and genetic loci shared by neuropsychiatric diseases. We performed multi-trait joint analyses and meta-analysis across five neuropsychiatric disorders based

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