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- Kanai, M, et al.
(författare)
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- 2023
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swepub:Mat__t
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| 3. |
- Farrell, M, et al.
(författare)
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Increased Prevalence of Rare Copy Number Variants in Treatment-Resistant Psychosis
- 2023
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Ingår i: Schizophrenia bulletin. - : Oxford University Press (OUP). - 1745-1701 .- 0586-7614. ; 49:4, s. 881-892
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundIt remains unknown why ~30% of patients with psychotic disorders fail to respond to treatment. Previous genomic investigations of treatment-resistant psychosis have been inconclusive, but some evidence suggests a possible link between rare disease-associated copy number variants (CNVs) and worse clinical outcomes in schizophrenia. Here, we identified schizophrenia-associated CNVs in patients with treatment-resistant psychotic symptoms and then compared the prevalence of these CNVs to previously published schizophrenia cases not selected for treatment resistance.MethodsCNVs were identified using chromosomal microarray (CMA) and whole exome sequencing (WES) in 509 patients with treatment-resistant psychosis (a lack of clinical response to ≥3 adequate antipsychotic medication trials over at least 5 years of psychiatric hospitalization). Prevalence of schizophrenia-associated CNVs in this sample was compared to that in a previously published large schizophrenia cohort study.ResultsIntegrating CMA and WES data, we identified 47 cases (9.2%) with at least one CNV of known or possible neuropsychiatric risk. 4.7% (n = 24) carried a known neurodevelopmental risk CNV. The prevalence of well-replicated schizophrenia-associated CNVs was 4.1%, with duplications of the 16p11.2 and 15q11.2-q13.1 regions, and deletions of the 22q11.2 chromosomal region as the most frequent CNVs. Pairwise loci-based analysis identified duplications of 15q11.2-q13.1 to be independently associated with treatment resistance.ConclusionsThese findings suggest that CNVs may uniquely impact clinical phenotypes beyond increasing risk for schizophrenia and may potentially serve as biological entry points for studying treatment resistance. Further investigation will be necessary to elucidate the spectrum of phenotypic characteristics observed in adult psychiatric patients with disease-associated CNVs.
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| 5. |
- Moslemi, Camous, et al.
(författare)
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Genetic prediction of 33 blood group phenotypes using an existing genotype dataset
- 2023
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Ingår i: Transfusion. - 0041-1132. ; 63:12, s. 2297-2310
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Tidskriftsartikel (refereegranskat)abstract
- Background: Accurate blood type data are essential for blood bank management, but due to costs, few of 43 blood group systems are routinely determined in Danish blood banks. However, a more comprehensive dataset of blood types is useful in scenarios such as rare blood type allocation. We aimed to investigate the viability and accuracy of predicting blood types by leveraging an existing dataset of imputed genotypes for two cohorts of approximately 90,000 each (Danish Blood Donor Study and Copenhagen Biobank) and present a more comprehensive overview of blood types for our Danish donor cohort. Study Design and Methods: Blood types were predicted from genome array data using known variant determinants. Prediction accuracy was confirmed by comparing with preexisting serological blood types. The Vel blood group was used to test the viability of using genetic prediction to narrow down the list of candidate donors with rare blood types. Results: Predicted phenotypes showed a high balanced accuracy >99.5% in most cases: A, B, C/c, Coa/Cob, Doa/Dob, E/e, Jka/Jkb, Kna/Knb, Kpa/Kpb, M/N, S/s, Sda, Se, and Yta/Ytb, while some performed slightly worse: Fya/Fyb, K/k, Lua/Lub, and Vel ~99%–98% and CW and P1 ~96%. Genetic prediction identified 70 potential Vel negatives in our cohort, 64 of whom were confirmed correct using polymerase chain reaction (negative predictive value: 91.5%). Discussion: High genetic prediction accuracy in most blood groups demonstrated the viability of generating blood types using preexisting genotype data at no cost and successfully narrowed the pool of potential individuals with the rare Vel-negative phenotype from 180,000 to 70.
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| 6. |
- Oddsson, Asmundur, et al.
(författare)
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Deficit of homozygosity among 1.52 million individuals and genetic causes of recessive lethality
- 2023
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Ingår i: Nature Communications. - : Springer Nature. - 2041-1723. ; 14:1
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Tidskriftsartikel (refereegranskat)abstract
- Genotypes causing pregnancy loss and perinatal mortality are depleted among living individuals and are therefore difficult to find. To explore genetic causes of recessive lethality, we searched for sequence variants with deficit of homozygosity among 1.52 million individuals from six European populations. In this study, we identified 25 genes harboring protein-altering sequence variants with a strong deficit of homozygosity (10% or less of predicted homozygotes). Sequence variants in 12 of the genes cause Mendelian disease under a recessive mode of inheritance, two under a dominant mode, but variants in the remaining 11 have not been reported to cause disease. Sequence variants with a strong deficit of homozygosity are over-represented among genes essential for growth of human cell lines and genes orthologous to mouse genes known to affect viability. The function of these genes gives insight into the genetics of intrauterine lethality. We also identified 1077 genes with homozygous predicted loss-of-function genotypes not previously described, bringing the total set of genes completely knocked out in humans to 4785.
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| 8. |
- Tripathi, Anushree, et al.
(författare)
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Cognition- and circuit-based dysfunction in a mouse model of 22q11.2 microdeletion syndrome : effects of stress
- 2020
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Ingår i: Translational Psychiatry. - : Nature Publishing Group. - 2158-3188. ; 10:1
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Tidskriftsartikel (refereegranskat)abstract
- Genetic microdeletion at the 22q11 locus is associated with very high risk for schizophrenia. The 22q11.2 microdeletion (Df(h22q11)/+) mouse model shows cognitive deficits observed in this disorder, some of which can be linked to dysfunction of the prefrontal cortex (PFC). We used behavioral (n = 10 per genotype), electrophysiological (n = 7 per genotype per group), and neuroanatomical (n = 5 per genotype) techniques to investigate schizophrenia-related pathology of Df(h22q11)/+ mice, which showed a significant decrease in the total number of parvalbumin positive interneurons in the medial PFC. The Df(h22q11)/+ mice when tested on PFC-dependent behavioral tasks, including gambling tasks, perform significantly worse than control animals while exhibiting normal behavior on hippocampus-dependent tasks. They also show a significant decrease in hippocampus-medial Prefrontal cortex (H-PFC) synaptic plasticity (long-term potentiation, LTP). Acute platform stress almost abolished H-PFC LTP in both wild-type and Df(h22q11)/+ mice. H-PFC LTP was restored to prestress levels by clozapine (3 mg/kg i.p.) in stressed Df(h22q11)/+ mice, but the restoration of stress-induced LTP, while significant, was similar between wild-type and Df(h22q11)/+ mice. A medial PFC dysfunction may underlie the negative and cognitive symptoms in human 22q11 deletion carriers, and these results are relevant to the current debate on the utility of clozapine in such subjects.
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| 10. |
- Yasmeen, Najeeda, et al.
(författare)
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Targeted therapies for patients with moderate-to-severe psoriasis: a systematic review and network meta-analysis of PASI response at 1 year
- 2022
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Ingår i: Journal of dermatological treatment (Print). - : TAYLOR & FRANCIS LTD. - 0954-6634 .- 1471-1753. ; 33:1, s. 204-218
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Forskningsöversikt (refereegranskat)abstract
- Purpose: To compare PASI outcomes of approved biologics and apremilast after 1 year of treatment. Methods: A systematic review identified RCTs and long-term extensions reporting PASI 75, 90, and 100 responses in adults with moderate-to-severe psoriasis. Data for analysis were modeled using a Bayesian multinomial likelihood model with probit link. Results: Twenty-eight studies reporting PASI responses were included in the network meta-analysis. Differences in study design led to a stepwise approach to synthesis, consisting of two analyses. The primary analysis included nine RCTs investigating comparative efficacy at 1 year. Results indicated risankizumab, brodalumab, and guselkumab were the most effective therapies, followed by ixekizumab and secukinumab; all demonstrated superiority to ustekinumab and etanercept. The secondary analysis extended the primary analysis with 19 further studies comparing active interventions to placebo outcomes extrapolated from induction. The interventions generating the highest PASI response were the same as the primary analysis. These therapies were more effective than apremilast, ustekinumab, adalimumab, certolizumab, etanercept, and infliximab. Conclusions: This NMA demonstrated that evaluated IL-17 and IL-23 inhibitors outperformed other biological therapies after 1 year. Risankizumab had a higher probability of achieving PASI outcomes than all other biologics, except brodalumab and guselkumab, where no significant difference could be concluded.
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