rs11745293 - GABRP - RANBP17

Magnitude 4.5 · 2 studies on file

Reported associations

  • Genome-wide association study of suicidal behaviour severity in mood disorders. - The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry (2021) · Zai CC, Fabbri C, Hosang GM, Zhang RS, Koyama E, de Luca V, Tiwari AK, King N, Strauss J, Jones I, Jones L, Breen G, Farmer AE, McGuffin P, Vincent JB, Kennedy JL, Lewis CM · PubMed 33783297

    Suicide is a major public health problem and it has a prominent genetic component. We performed a genome-wide association study (GWAS) of suicidal behaviour severity. Suicide behaviour severity was assessed within the Schedules for Clinical Assessment in Neuropsychiatry in our mood disorder sample ( = 3506) for the GWAS. We also performed polygenic risk score analyses to explore genetic sharing between suicidal behaviour severity and a number of phenotypes, including bipolar disorder, major depressive disorder, alcoholism, post-traumatic stress disorder, impulsivity, insomnia, educational attainment, loneliness, maltreatment, and amygdala volume. We did not detect genome-wide significant findings at the single-marker or gene level. We report a number of suggestive single-marker and gene-

  • Participation bias in the UK Biobank distorts genetic associations and downstream analyses - Unknown journal (n.d.) · Unknown authors · PubMed 37106081

    ABSTRACT: While volunteer-based studies such as the UK Biobank have become the cornerstone of genetic epidemiology, the participating individuals are rarely representative of their target population. To evaluate the impact of selective participation, here we derived UK Biobank participation probabilities on the basis of 14 variables harmonized across the UK Biobank and a representative sample. We then conducted weighted genome-wide association analyses on 19 traits. Comparing the output from weighted genome-wide association analyses (neffective = 94,643 to 102,215) with that from standard genome-wide association analyses (n = 263,464 to 283,749), we found that increasing representativeness led to changes in SNP effect sizes and identified novel SNP associations for 12 traits. While


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