SwePub
Sök i SwePub databas

  Utökad sökning

Träfflista för sökning "WFRF:(Olsson A R) srt2:(2020-2024)"

Sökning: WFRF:(Olsson A R) > (2020-2024)

  • Resultat 1-10 av 152
Sortera/gruppera träfflistan
   
NumreringReferensOmslagsbildHitta
1.
  •  
2.
  •  
3.
  • Mullins, N., et al. (författare)
  • Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology
  • 2021
  • Ingår i: Nature Genetics. - : Springer Science and Business Media LLC. - 1061-4036 .- 1546-1718. ; 53, s. 817-829
  • Tidskriftsartikel (refereegranskat)abstract
    • Bipolar disorder is a heritable mental illness with complex etiology. We performed a genome-wide association study of 41,917 bipolar disorder cases and 371,549 controls of European ancestry, which identified 64 associated genomic loci. Bipolar disorder risk alleles were enriched in genes in synaptic signaling pathways and brain-expressed genes, particularly those with high specificity of expression in neurons of the prefrontal cortex and hippocampus. Significant signal enrichment was found in genes encoding targets of antipsychotics, calcium channel blockers, antiepileptics and anesthetics. Integrating expression quantitative trait locus data implicated 15 genes robustly linked to bipolar disorder via gene expression, encoding druggable targets such as HTR6, MCHR1, DCLK3 and FURIN. Analyses of bipolar disorder subtypes indicated high but imperfect genetic correlation between bipolar disorder type I and II and identified additional associated loci. Together, these results advance our understanding of the biological etiology of bipolar disorder, identify novel therapeutic leads and prioritize genes for functional follow-up studies. Genome-wide association analyses of 41,917 bipolar disorder cases and 371,549 controls of European ancestry provide new insights into the etiology of this disorder and identify novel therapeutic leads and potential opportunities for drug repurposing.
  •  
4.
  • Dareng, EO, et al. (författare)
  • Polygenic risk modeling for prediction of epithelial ovarian cancer risk
  • 2022
  • Ingår i: European journal of human genetics : EJHG. - : Springer Science and Business Media LLC. - 1476-5438 .- 1018-4813. ; 30:3, s. 349-362
  • Tidskriftsartikel (refereegranskat)abstract
    • Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, “select and shrink for summary statistics” (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestries; 7,669 women of East Asian ancestries; 1,072 women of African ancestries, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestries. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38 (95% CI: 1.28–1.48, AUC: 0.588) per unit standard deviation, in women of European ancestries; 1.14 (95% CI: 1.08–1.19, AUC: 0.538) in women of East Asian ancestries; 1.38 (95% CI: 1.21–1.58, AUC: 0.593) in women of African ancestries; hazard ratios of 1.36 (95% CI: 1.29–1.43, AUC: 0.592) in BRCA1 pathogenic variant carriers and 1.49 (95% CI: 1.35–1.64, AUC: 0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs.
  •  
5.
  •  
6.
  •  
7.
  •  
8.
  •  
9.
  •  
10.
  •  
Skapa referenser, mejla, bekava och länka
  • Resultat 1-10 av 152
Typ av publikation
tidskriftsartikel (136)
konferensbidrag (12)
forskningsöversikt (3)
annan publikation (1)
Typ av innehåll
refereegranskat (128)
övrigt vetenskapligt/konstnärligt (24)
Författare/redaktör
Olsson, T (21)
Guenel, P (19)
Seo, Sachiko (19)
Wolk, Alicja (18)
Hopper, JL (18)
Easton, DF (18)
visa fler...
Pharoah, PDP (18)
Olsson, H. (17)
Kockum, I. (17)
Chang-Claude, J (17)
Haiman, CA (17)
Olsson, A (16)
Giles, GG (16)
Milne, RL (16)
Southey, MC (16)
Dunning, AM (16)
Fasching, PA (16)
Jakubowska, A (16)
Olsson, Richard (16)
Zheng, W. (15)
Dennis, J (15)
Anton-Culver, H (15)
Andrulis, IL (15)
Couch, FJ (15)
Chanock, SJ (15)
Schmutzler, RK (15)
Olsson, Håkan (14)
Czene, K (14)
Wolk, A (14)
Bolla, MK (14)
Mannermaa, A (14)
Lambrechts, D (14)
Simard, J (14)
Garcia-Closas, M (14)
Swerdlow, AJ (14)
Hillert, J (13)
Wang, Q. (13)
Foretova, L (13)
Hamann, U (13)
Schmidt, MK (13)
Beckmann, MW (13)
Bojesen, SE (13)
Devilee, P (13)
Nevanlinna, H (13)
Dork, T (13)
Chenevix-Trench, G (13)
Chhabra, Saurabh (13)
Bermisheva, M (13)
Kraft, P (13)
Ziogas, A (13)
visa färre...
Lärosäte
Karolinska Institutet (117)
Uppsala universitet (53)
Lunds universitet (42)
Göteborgs universitet (18)
Umeå universitet (8)
Kungliga Tekniska Högskolan (8)
visa fler...
Stockholms universitet (7)
Linköpings universitet (5)
Örebro universitet (4)
Malmö universitet (4)
Chalmers tekniska högskola (3)
Linnéuniversitetet (2)
RISE (2)
Naturhistoriska riksmuseet (2)
Sveriges Lantbruksuniversitet (2)
Högskolan Kristianstad (1)
Luleå tekniska universitet (1)
Södertörns högskola (1)
visa färre...
Språk
Engelska (152)
Forskningsämne (UKÄ/SCB)
Medicin och hälsovetenskap (82)
Naturvetenskap (19)
Teknik (6)
Lantbruksvetenskap (3)
Samhällsvetenskap (2)
Humaniora (1)

År

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy