Dataset Information

Biological insights from 108 schizophrenia-associated genetic loci.

ABSTRACT: Schizophrenia is a highly heritable disorder. Genetic risk is conferred by a large number of alleles, including common alleles of small effect that might be detected by genome-wide association studies. Here we report a multi-stage schizophrenia genome-wide association study of up to 36,989 cases and 113,075 controls. We identify 128 independent associations spanning 108 conservatively defined loci that meet genome-wide significance, 83 of which have not been previously reported. Associations were enriched among genes expressed in brain, providing biological plausibility for the findings. Many findings have the potential to provide entirely new insights into aetiology, but associations at DRD2 and several genes involved in glutamatergic neurotransmission highlight molecules of known and potential therapeutic relevance to schizophrenia, and are consistent with leading pathophysiological hypotheses. Independent of genes expressed in brain, associations were enriched among genes expressed in tissues that have important roles in immunity, providing support for the speculated link between the immune system and schizophrenia.

SUBMITTER: Schizophrenia Working Group of the Psychiatric Genomics Consortium

PROVIDER: S-EPMC4112379 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Biological insights from 108 schizophrenia-associated genetic loci.

Nature 20140722 7510

Schizophrenia is a highly heritable disorder. Genetic risk is conferred by a large number of alleles, including common alleles of small effect that might be detected by genome-wide association studies. Here we report a multi-stage schizophrenia genome-wide association study of up to 36,989 cases and 113,075 controls. We identify 128 independent associations spanning 108 conservatively defined loci that meet genome-wide significance, 83 of which have not been previously reported. Associations wer ...[more]

PMID: 25056061

Similar Datasets

Project description:Schizophrenia and bipolar disorder may share aspects of genetic etiology. Evidence supports the Val 108/158 Met polymorphism of the Catechol-o-Methyltransferase (COMT) gene as potentially contributing to the etiology of both disorders. To determine whether the COMT gene is associated with personality traits related to genetic risk for either schizophrenia or bipolar disorder, we examined dimensions of personality psychopathology in biological relatives of individuals with the disorders. Specifically, we contrasted personality characteristics of first-degree relatives of people with schizophrenia, first-degree relatives of people with bipolar-I disorder, and nonpsychiatric control participants using scores from the Dimensional Assessment of Personality Pathology-Brief Questionnaire (DAPP-BQ). We also characterized the COMT Val 108/158 Met polymorphism of subjects. Compared to controls, relatives of schizophrenia patients scored lower on stimulus seeking and higher on restrictive expression and social avoidance. Compared to relatives of bipolar patients, relatives of schizophrenia patients had lower scores on narcissism, rejectionality (i.e., rejection of ideas of others), stimulus seeking, passive-aggressive oppositionality, and self-harm. The subset of relatives of schizophrenia patients who were COMT val homozygotes exhibited lower scores on narcissism, rejectionality, and stimulus seeking than met homozygote relatives of schizophrenia patients and control participants. Although relatives of bipolar patients showed scale elevations consistent with emotional dysregulation, the scores failed to be associated with the Val 108/158 Met polymorphism. Abnormally low narcissism and rejectionality in val homozygote relatives of schizophrenia patients suggests that the val allele of the COMT polymorphism may be associated with an underdeveloped self-concept phenomenologically similar to made volition and passivity experiences comprising first-rank symptoms of schizophrenia.

Dataset Information

Biological insights from 108 schizophrenia-associated genetic loci.

Publications

Biological insights from 108 schizophrenia-associated genetic loci.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets