P01-246-3Q29 case-control association study of co-morbid migraine in bipolar affective disorder

2011 ◽  
Vol 26 (S2) ◽  
pp. 247-247
Author(s):  
M. Schmoeger ◽  
S. Cohen-Woods ◽  
G. Hosang ◽  
M. Schloegelhofer ◽  
I. Craig ◽  
...  

According to Oedegaard et al. (2010) the co-morbidity of migraine and bipolar disorder (BPD) is well documented in numerous epidemiological and clinical studies, and there are clear pathophysiological similarities. Interestingly, in a genome-wide scan, Lea et al. (2005) identified a susceptibility locus for a severe heritable form of common migraine on chromosome 3q29. With respect to BPD, a susceptibility region on chromosome 3q29 was identified in a genome-wide linkage scan (Bailer et al. 2002) and follow-up linkage analysis (Schosser et al. 2004). These findings were also supported by further fine-mapping of this region (Schosser et al. 2007). Since 3q29 is among the chromosomal regions implicated in migraine and bipolar linkage studies, the aim of the current study is to test for 3q29 association of migraine in sample of patients with BPD. The sample consists of 463 patients with a diagnosis of BPD (34.63% men, 65.37% women; mean age ± SD: 48.01 ± 11.26), as defined by the Diagnostic and Statistical Manual 4th edition operational criteria (DSM-IV) and the International Classification of Diseases 10th edition operational criteria (ICD-10), derived from the Bipolar Affective Disorder Case Control Study (BACCS). A total of 51 SNPs in the region of the 3q29 were genotyped using Sequenom MassARRAY® iPLEX Gold and tested for association with migraine. The results of this association study investigating the 3q29 region in a sample of patients with BPD will be presented.

CNS Spectrums ◽  
2005 ◽  
Vol 10 (8) ◽  
pp. 625-634 ◽  
Author(s):  
Andres Magnusson ◽  
Timo Partonen

AbstractThe operational criteria for seasonal affective disorder (SAD) have undergone several changes since first proposed in 1984. SAD is currently included as a specifier of either bipolar or recurrent major depressive disorder in the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. The International Classification of Diseases, Tenth Edition has provisional diagnostic criteria for SAD. The most characteristic quality of SAD is that the symptoms usually present during winter and remit in the spring. Furthermore, the symptoms tend to remit when the patients are exposed to daylight or bright light therapy. The cognitive and emotional symptoms are as in other types of depression but the vegetative symptoms are the reverse of classic depressive vegetative symptoms, namely increased sleep and increased appetite. SAD is a common condition, but the exact prevalence rates vary between different studies and countries and is consistently found to be more common in women and in youth. SAD probably possibly occurs in children although not as commonly as in young adults. Some studies have found that certain ethnic groups who live at high northern latitudes may have adapted to the long arctic winter.


Author(s):  
Leonid Bardenshtein ◽  
Natalia Osipova

The review is devoted to diagnosing bipolar affective disorder in adolescence. The article summarizes the domestic and foreign research findings concerning the early disease manifestations, the specific features of the disease course, and the relationship with mental and corporal comorbidity. Special attention is paid to the diagnosis of hypomania, based on the recommendations of modern international diagnostic systems: DSM-V (APA, 2013), and the draft International Classification of Diseases, ICD-11 2019. Early detection of affective disorder in adolescents using screening study methods is shown to be significant.


2017 ◽  
Vol 19 (8) ◽  
pp. 602-609 ◽  
Author(s):  
Bettina Konte ◽  
Gregor Leicht ◽  
Ina Giegling ◽  
Oliver Pogarell ◽  
Susanne Karch ◽  
...  

2017 ◽  
Author(s):  
David M. Howard ◽  
Mark J. Adams ◽  
Masoud Shirali ◽  
Toni-Kim Clarke ◽  
Riccardo E. Marioni ◽  
...  

AbstractDepression is a polygenic trait that causes extensive periods of disability and increases the risk of suicide, a leading cause of death in young people. Previous genetic studies have identified a number of common risk variants which have increased in number in line with increasing sample sizes. We conducted a genome-wide association study (GWAS) in the largest single population-based cohort to date, UK Biobank. This allowed us to estimate the effects of ≈ 8 million genetic variants in 320,000 people for three depression phenotypes: broad depression, probable major depressive disorder (MDD), and International Classification of Diseases (ICD, version 9 or 10)-coded MDD. Each phenotype was found to be significantly genetically correlated with the results from a previous independent study of clinically defined MDD. We identified 14 independent loci that were significantly associated (P < 5 × 10−8) with broad depression, two independent variants for probable MDD, and one independent variant for ICD-coded MDD. Gene-based analysis of our GWAS results with MAGMA revealed 46 regions significantly associated (P < 2.77 × 10−6) with broad depression, two significant regions for probable MDD and one significant region for ICD-coded MDD. Gene region-based analysis of our GWAS results with MAGMA revealed 59 regions significantly associated (P < 6.02 × 10−6) with broad depression, of which 27 were also detected by gene-based analysis. Variants for broad depression were enriched in pathways for excitatory neurotransmission, mechanosensory behavior, postsynapse, neuron spine and dendrite. This study provides a number of novel genetic risk variants that can be leveraged to elucidate the mechanisms of MDD and low mood.


1996 ◽  
Vol 12 (4) ◽  
pp. 431-435 ◽  
Author(s):  
Edward I. Ginns ◽  
Jurg Ott ◽  
Janice A. Egeland ◽  
Cleona R. Allen ◽  
Cathy S.J. Fann ◽  
...  

Author(s):  
Huaigang Lei ◽  
Tianfu Yang ◽  
Shahid Mahmood ◽  
Mohammed Kotb Abo-Ismail ◽  
Bimol Roy ◽  
...  

The genetic architecture of dark cutting was investigated with case-control genome-wide association study (GWAS) on two groups of beef cattle analyzed separately and together (Combined Group). Groups I (n = 64) and II (n = 150) were genotyped using the 70K GeneSeek Genomic Profiler for Beef Cattle-HD (GGP-HD) and the 50K Illumina BovineSNP50v2 BeadChip, respectively. Dark cutting was analyzed as a binary trait (case versus control) using logistic regression in an additive model implemented in PLINK v1.9. Significant loci were not identified when correcting for multiple testing (false discovery rate) suggesting that the trait is not controlled by genes with big effects or the sample size was not large enough to detect these major genes. Regions harbouring single nucleotide polymorphisms (SNPs) with a raw p < 0.01 using 1 MB window were analyzed for gene function using the Ingenuity Pathway Analysis (IPA). For Group I, II, and the Combined Group 449, 301 and 191 SNPs were identified, respectively. Genes identified were involved in pyruvic acid modification and release, 2-deoxyglucose clearance and disposal, sucrose recognition, energy production, and metabolism of carbohydrate. Although detected SNP associations require validation in a large population, results suggested the possibility for marker-assisted or genomic selection of beef cattle to reduce dark cutting.


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