Publications by authors named "Adebayo Anjorin"

Article Synopsis
  • Bipolar disorder has a genetic basis and complex causes; a large study compared nearly 42,000 bipolar patients with over 371,000 healthy controls, revealing 64 genomic regions linked to the disorder.
  • The findings showed that risk-related genes are heavily associated with brain functions, particularly in areas like the prefrontal cortex and hippocampus, and they include targets for various medications.
  • The research also distinguished between bipolar disorder types I and II, revealing a close genetic relationship and highlighting 15 specific genes that could lead to new treatment options and further investigations.
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  • * The analysis discovered 30 significant genetic loci linked to bipolar disorder, including 20 that hadn't been previously identified, which involve genes related to ion channels and neurotransmitter systems.
  • * The study also showed that Bipolar I disorder has a genetic connection to schizophrenia, particularly linked to psychosis, while Bipolar II disorder is more closely related to major depressive disorder, shedding light on potential biological mechanisms and clinical implications.
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  • A study investigated the genetic overlap between 25 brain disorders using data from over 1.2 million individuals, finding that psychiatric disorders share more genetic risk compared to neurological disorders, which seem more distinct.
  • The research identified significant relationships between these disorders and various cognitive measures, suggesting shared underlying traits.
  • Simulations were conducted to understand how factors like sample size and diagnosis accuracy influence genetic correlations, emphasizing the role of common genetic variations in the risk of brain disorders.
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Background: Bipolar affective disorder (BPD) is a severe mood disorder with a prevalence of ∼1.5% in the population. The pathogenesis of BPD is poorly understood; however, a strong heritable component has been identified.

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Objectives: Genetic markers in the genes encoding ankyrin 3 (ANK3) and the α-calcium channel subunit (CACNA1C) are associated with bipolar disorder (BP). The associated variants in the CACNA1C gene are mainly within intron 3 of the gene. ANK3 BP-associated variants are in two distinct clusters at the ends of the gene, indicating disease allele heterogeneity.

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Article Synopsis
  • * Using data from the Psychiatric Genomics Consortium, researchers found varying degrees of genetic relationships between disorders like schizophrenia, bipolar disorder, and major depressive disorder, indicating some shared genetic factors.
  • * The study suggests that understanding these shared genetic influences could help improve disorder classifications and lead to better treatments by exploring common biological causes.
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Importance: Genetic markers at the gene encoding the metabotropic glutamate receptor 3 (GRM3) showed allelic association with bipolar disorder.

Objective: To screen the GRM3 gene and adjacent control regions of genomic DNA in volunteers with bipolar affective disorder for mutations increasing susceptibility to bipolar disorder.

Design: Sequencing and high-resolution melting curve analysis of DNA followed by genotyping was carried out in 1099 patients with bipolar affective disorder and 1152 healthy comparator individuals.

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Significant association between polymorphisms at the ANK3 gene with bipolar disorder has previously been reported and confirmed in several samples. Here we report on association between ANK3 and bipolar disorder in a new sample of 593 patients and 642 controls (UCL2) as well as the results of sequencing of the exons and flanking regions of ANK3 from bipolar patients. Single nucleotide polymorphisms (SNPs) associated with bipolar disorder in our original GWA study (UCL1) were genotyped and tested for association in the new sample.

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Objectives: Alcoholism and affective disorders are both strongly comorbid and heritable. We have investigated the genetic comorbidity between bipolar affective disorder and alcoholism.

Methods: A genome-wide allelic association study of 506 patients from the University College London bipolar disorder case-control sample and 510 ancestrally matched supernormal controls.

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Insulin-like growth factor 1 (IGF1) has been shown to have an important role in brain development and function. Studies of IGF1 administration in rodents have shown that it has an anxiolytic and antidepressant effect. A genome-wide association study (GWAS) of the first University College London (UCL) cohort of 506 bipolar affective disorder subjects and 510 controls was carried out.

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Genetic deletions and duplications known as copy number variants have been strongly implicated in genetic susceptibility to schizophrenia, autism, attention deficit hyperactivity disorder and epilepsy. The overall rate of copy number variants in the University College London (UCL) bipolar disorder sample was found to be slightly lower than the rate in controls. This finding confirms the results from other studies that have also shown no increased rate of copy number variants in bipolar disorder.

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Objective: There are theoretical reasons why comparing marker allele frequencies between cases of different diseases, rather than with controls, may offer benefits. The samples may be better matched, especially for background risk factors common to both diseases. Genetic loci may also be detected which influence which of the two diseases occurs if common risk factors are present.

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Background: Recent studies have reported large common regions of homozygosity (ROHs) that are the result of autozygosity, that is, the cooccurrence within individuals of long haplotypes that have a high frequency in the population. A recent study reports that such regions are found more commonly in individuals with schizophrenia compared with controls, and identified nine 'risk ROHs' that were individually more common in cases. Of these, four contained or neighboured genes associated with schizophrenia (NOS1AP/UHMK1, ATF2, NSF and PIK3C3).

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To identify susceptibility loci for bipolar disorder, we tested 1.8 million variants in 4,387 cases and 6,209 controls and identified a region of strong association (rs10994336, P = 9.1 x 10(-9)) in ANK3 (ankyrin G).

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