Background: The many attempts to identify genes for bipolar disorder (BD) have met with limited success, which has generally been attributed to genetic heterogeneity and small gene effects. However, it is also possible that the categorical phenotypes used in genetic studies of BD are not the most informative or biologically relevant. Although quantitative phenotypes provide an alternative to categorical phenotypes based on diagnosis, they have not been fully exploited in BD genetics due to the lack of accessible biological measures. We have explored aspects of temperament as quantitative phenotypes that might define subtypes of BD with different clinical features and courses of illness. Temperament is a heritable personality factor that establishes the baseline level of reactivity, mood, and energy of a person.
Methods: We have performed a genome-wide association study with genotype data from the Bipolar Genome Study and 1263 bipolar subjects that had completed the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego Autoquestionnaire (TEMPS-A). The TEMPS-A is designed to assess lifelong, milder aspects of bipolar symptomatology and defines five temperaments: hyperthymic, dysthymic, cyclothymic, irritable, and anxious.
Results: The irritable temperament produced the most significant result with a genome-wide significant p value of 1.7 × 10(-8) on chromosome 1. The hyperthymic temperament produced additional genome-wide significant p values of 4.1 × 10(-8) and 2.1 × 10(-8) on chromosomes 12 and 22, respectively.
Conclusions: These results suggest that aspects of temperament might define subtypes of BD that are more clinically and genetically homogenous, which might aid in the identification of predisposing genetic variants.
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http://dx.doi.org/10.1016/j.biopsych.2012.01.018 | DOI Listing |
BioData Min
January 2025
The Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, 90069, USA.
Background: With recent advances in single cell technology, high-throughput methods provide unique insight into disease mechanisms and more importantly, cell type origin. Here, we used multi-omics data to understand how genetic variants from genome-wide association studies influence development of disease. We show in principle how to use genetic algorithms with normal, matching pairs of single-nucleus RNA- and ATAC-seq, genome annotations, and protein-protein interaction data to describe the genes and cell types collectively and their contribution to increased risk.
View Article and Find Full Text PDFGenome-wide association studies (GWAS) have identified genetic variants robustly associated with asthma. A potential near-term clinical application is to calculate polygenic risk score (PRS) to improve disease risk prediction. The value of PRS, as part of numerous multi-source variables used to define asthma, remains unclear.
View Article and Find Full Text PDFBMC Public Health
January 2025
Department of Endocrinology, China-Japan Friendship Hospital, No.2 Yinghuayuan East Street, Hepingli, Chaoyang District, 100029, Beijing, China.
Background: The prevalence of type 2 diabetes (T2D) and asthma is rising, yet evidence regarding the relationship between T2D and asthma, particularly in the context of genetic predispositions, remains limited.
Methods: This study utilized data from the UK Biobank longitudinal cohort, involving 388,775 participants. A polygenic risk score (PRS) for asthma was derived from genome-wide association studies summary.
Sci Data
January 2025
Department of Molecular Science and Technology, Ajou University, Suwon, 16499, Republic of Korea.
Chinese hamster ovary (CHO) cells play a pivotal role in the production of recombinant therapeutics. In the present study, we conducted a genome-scale pooled CRISPR knockout (KO) screening using a virus-free, recombinase-mediated cassette exchange-based platform in CHO-K1 host and CHO-K1 derived recombinant cells. Genome-wide guide RNA (gRNA) amplicon sequencing data were generated from cell libraries, as well as short- and long-term KO libraries, and validated through phenotypic assessment and gRNA read count distribution.
View Article and Find Full Text PDFCephalalgia
January 2025
Functional Pharmacology and Neuroscience Unit, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Background: Individuals with autism spectrum disorder (ASD) experience a wide array of neurological, psychiatric and medical comorbidities, yet little attention has been given to the potential link between ASD and migraine, one of the most prevalent neurological disorders worldwide. This study aimed to investigate whether a genetic predisposition for ASD is linked to migraine and its major subtypes, with and without aura. Additionally, potential moderator and mediators of the association between ASD and migraine were explored.
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