SwePub
Sök i SwePub databas

  Extended search

Träfflista för sökning "WFRF:(Lundström T) "

Search: WFRF:(Lundström T)

  • Result 1-10 of 230
Sort/group result
   
EnumerationReferenceCoverFind
1.
  • Ip, H. F., et al. (author)
  • Genetic association study of childhood aggression across raters, instruments, and age
  • 2021
  • In: Translational Psychiatry. - : Springer Science and Business Media LLC. - 2158-3188. ; 11:1
  • Journal article (peer-reviewed)abstract
    • Childhood aggressive behavior (AGG) has a substantial heritability of around 50%. Here we present a genome-wide association metaanalysis (GWAMA) of childhood AGG, in which all phenotype measures across childhood ages from multiple assessors were included. We analyzed phenotype assessments for a total of 328 935 observations from 87 485 children aged between 1.5 and 18 years, while accounting for sample overlap. We also meta-analyzed within subsets of the data, i.e., within rater, instrument and age. SNP-heritability for the overall meta-analysis (AGGoverall) was 3.31% (SE= 0.0038). We found no genome-wide significant SNPs for AGG(overall). The gene-based analysis returned three significant genes: ST3GAL3 (P= 1.6E-06), PCDH7 (P= 2.0E-06), and IPO13 (P= 2.5E-06). All three genes have previously been associated with educational traits. Polygenic scores based on our GWAMA significantly predicted aggression in a holdout sample of children (variance explained = 0.44%) and in retrospectively assessed childhood aggression (variance explained = 0.20%). Genetic correlations (rg) among rater-specific assessment of AGG ranged from r(g)= 0.46 between self- and teacher-assessment to r(g)d= 0.81 between mother- and teacher-assessment. We obtained moderate-to-strong rgs with selected phenotypes from multiple domains, but hardly with any of the classical biomarkers thought to be associated with AGG. Significant genetic correlations were observed with most psychiatric and psychological traits (range r(g): 0.19-1.00), except for obsessive-compulsive disorder. Aggression had a negative genetic correlation (r(g)=-0.5) with cognitive traits and age at first birth. Aggression was strongly genetically correlated with smoking phenotypes (range |r(g)| : 0.46-0.60). The genetic correlations between aggression and psychiatric disorders were weaker for teacher-reported AGG than for mother- and self-reported AGG. The current GWAMA of childhood aggression provides a powerful tool to interrogate the rater-specific genetic etiology of AGG.
  •  
2.
  • Jami, E. S., et al. (author)
  • Genome-wide Association Meta-analysis of Childhood and Adolescent Internalizing Symptoms
  • 2022
  • In: Journal of the American Academy of Child and Adolescent Psychiatry. - : Elsevier BV. - 0890-8567 .- 1527-5418. ; 61:7, s. 934-945
  • Journal article (peer-reviewed)abstract
    • Objective: To investigate the genetic architecture of internalizing symptoms in childhood and adolescence. Method: In 22 cohorts, multiple univariate genome-wide association studies (GWASs) were performed using repeated assessments of internalizing symptoms, in a total of 64,561 children and adolescents between 3 and 18 years of age. Results were aggregated in meta-analyses that accounted for sample overlap, first using all available data, and then using subsets of measurements grouped by rater, age, and instrument. Results: The meta-analysis of overall internalizing symptoms (INToverall) detected no genome-wide significant hits and showed low single nucleotide polymorphism (SNP) heritability (1.66%, 95% CI = 0.84-2.48%, n(effective) = 132,260). Stratified analyses indicated rater-based heterogeneity in genetic effects, with self-reported internalizing symptoms showing the highest heritability (5.63%, 95% CI = 3.08%-8.18%). The contribution of additive genetic effects on internalizing symptoms appeared to be stable over age, with overlapping estimates of SNP heritability from early childhood to adolescence. Genetic correlations were observed with adult anxiety, depression, and the well-being spectrum (vertical bar r(g)vertical bar > 0.70), as well as with insomnia, loneliness, attention-deficit/hyperactivity disorder, autism, and childhood aggression (range vertical bar r(g)vertical bar = 0.42-0.60), whereas there were no robust associations with schizophrenia, bipolar disorder, obsessive-compulsive disorder, or anorexia nervosa. Conclusion: Genetic correlations indicate that childhood and adolescent internalizing symptoms share substantial genetic vulnerabilities with adult internalizing disorders and other childhood psychiatric traits, which could partially explain both the persistence of internalizing symptoms over time and the high comorbidity among childhood psychiatric traits. Reducing phenotypic heterogeneity in childhood samples will be key in paving the way to future GWAS success.
  •  
3.
  • Gerkin, RC, et al. (author)
  • The best COVID-19 predictor is recent smell loss: a cross-sectional study
  • 2020
  • In: medRxiv : the preprint server for health sciences. - : Cold Spring Harbor Laboratory.
  • Journal article (other academic/artistic)abstract
    • BackgroundCOVID-19 has heterogeneous manifestations, though one of the most common symptoms is a sudden loss of smell (anosmia or hyposmia). We investigated whether olfactory loss is a reliable predictor of COVID-19.MethodsThis preregistered, cross-sectional study used a crowdsourced questionnaire in 23 languages to assess symptoms in individuals self-reporting recent respiratory illness. We quantified changes in chemosensory abilities during the course of the respiratory illness using 0-100 visual analog scales (VAS) for participants reporting a positive (C19+; n=4148) or negative (C19-; n=546) COVID-19 laboratory test outcome. Logistic regression models identified singular and cumulative predictors of COVID-19 status and post-COVID-19 olfactory recovery.ResultsBoth C19+ and C19-groups exhibited smell loss, but it was significantly larger in C19+ participants (mean±SD, C19+: -82.5±27.2 points; C19-: -59.8±37.7). Smell loss during illness was the best predictor of COVID-19 in both single and cumulative feature models (ROC AUC=0.72), with additional features providing negligible model improvement. VAS ratings of smell loss were more predictive than binary chemosensory yes/no-questions or other cardinal symptoms, such as fever or cough. Olfactory recovery within 40 days was reported for ∼50% of participants and was best predicted by time since illness onset.ConclusionsAs smell loss is the best predictor of COVID-19, we developed the ODoR-19 tool, a 0-10 scale to screen for recent olfactory loss. Numeric ratings ≤2 indicate high odds of symptomatic COVID-19 (4<OR<10), which can be deployed when viral lab tests are impractical or unavailable.
  •  
4.
  • Andersson, L-O, et al. (author)
  • A new neutron beam facility
  • 2004
  • In: Proc. of the 9th European Particle Accelerator Conference.
  • Conference paper (peer-reviewed)
  •  
5.
  • Bartels, M., et al. (author)
  • Childhood aggression and the co-occurrence of behavioural and emotional problems: results across ages 3-16years from multiple raters in six cohorts in the EU-ACTION project
  • 2018
  • In: European Child & Adolescent Psychiatry. - : Springer Science and Business Media LLC. - 1018-8827 .- 1435-165X. ; 27:9, s. 1105-1121
  • Journal article (peer-reviewed)abstract
    • Childhood aggression and its resulting consequences inflict a huge burden on affected children, their relatives, teachers, peers and society as a whole. Aggression during childhood rarely occurs in isolation and is correlated with other symptoms of childhood psychopathology. In this paper, we aim to describe and improve the understanding of the co-occurrence of aggression with other forms of childhood psychopathology. We focus on the co-occurrence of aggression and other childhood behavioural and emotional problems, including other externalising problems, attention problems and anxiety-depression. The data were brought together within the EU-ACTION (Aggression in Children: unravelling gene-environment interplay to inform Treatment and InterventiON strategies) project. We analysed the co-occurrence of aggression and other childhood behavioural and emotional problems as a function of the child's age (ages 3 through 16years), gender, the person rating the behaviour (father, mother or self) and assessment instrument. The data came from six large population-based European cohort studies from the Netherlands (2x), the UK, Finland and Sweden (2x). Multiple assessment instruments, including the Child Behaviour Checklist (CBCL), the Strengths and Difficulties Questionnaire (SDQ) and Multidimensional Peer Nomination Inventory (MPNI), were used. There was a good representation of boys and girls in each age category, with data for 30,523 3- to 4-year-olds (49.5% boys), 20,958 5- to 6-year-olds (49.6% boys), 18,291 7- to 8-year-olds (49.0% boys), 27,218 9- to 10-year-olds (49.4% boys), 18,543 12- to 13-year-olds (48.9% boys) and 10,088 15- to 16-year-olds (46.6% boys). We replicated the well-established gender differences in average aggression scores at most ages for parental ratings. The gender differences decreased with age and were not present for self-reports. Aggression co-occurred with the majority of other behavioural and social problems, from both externalising and internalising domains. At each age, the co-occurrence was particularly prevalent for aggression and oppositional and ADHD-related problems, with correlations of around 0.5 in general. Aggression also showed substantial associations with anxiety-depression and other internalizing symptoms (correlations around 0.4). Co-occurrence for self-reported problems was somewhat higher than for parental reports, but we found neither rater differences, nor differences across assessment instruments in co-occurrence patterns. There were large similarities in co-occurrence patterns across the different European countries. Finally, co-occurrence was generally stable across age and sex, and if any change was observed, it indicated stronger correlations when children grew older. We present an online tool to visualise these associations as a function of rater, gender, instrument and cohort. In addition, we present a description of the full EU-ACTION projects, its first results and the future perspectives.
  •  
6.
  • Beck, J. J., et al. (author)
  • Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weight
  • 2021
  • In: Human Molecular Genetics. - : Oxford University Press (OUP). - 0964-6906 .- 1460-2083. ; 30:19, s. 1894-1905
  • Journal article (peer-reviewed)abstract
    • Birth weight (BW) is an important predictor of newborn survival and health and has associations with many adult health outcomes, including cardiometabolic disorders, autoimmune diseases and mental health. On average, twins have a lower BW than singletons as a result of a different pattern of fetal growth and shorter gestational duration. Therefore, investigations into the genetics of BW often exclude data from twins, leading to a reduction in sample size and remaining ambiguities concerning the genetic contribution to BW in twins. In this study, we carried out a genome-wide association meta-analysis of BW in 42 212 twin individuals and found a positive correlation of beta values (Pearson's r = 0.66, 95% confidence interval [CI]: 0.47-0.77) with 150 previously reported genome-wide significant variants for singleton BW. We identified strong positive genetic correlations between BW in twins and numerous anthropometric traits, most notably with BW in singletons (genetic correlation [r(g)]= 0.92, 95% CI: 0.66-1.18). Genetic correlations of BW in twins with a series of health-related traits closely resembled those previously observed for BW in singletons. Polygenic scores constructed from a genome-wide association study on BW in the UK Biobank demonstrated strong predictive power in a target sample of Dutch twins and singletons. Together, our results indicate that a similar genetic architecture underlies BW in twins and singletons and that future genome-wide studies might benefit from including data from large twin registers.
  •  
7.
  •  
8.
  •  
9.
  •  
10.
  •  
Skapa referenser, mejla, bekava och länka
  • Result 1-10 of 230
Type of publication
journal article (156)
conference paper (65)
book chapter (3)
other publication (2)
research review (2)
licentiate thesis (1)
show more...
patent (1)
show less...
Type of content
peer-reviewed (207)
other academic/artistic (21)
pop. science, debate, etc. (2)
Author/Editor
Lundström, T. Staffa ... (126)
Ljung, Anna-Lena (29)
Hellström, J. Gunnar ... (23)
Westerberg, Lars-Gör ... (23)
Lundström, Sebastian (14)
Lichtenstein, P. (10)
show more...
Hedström, Annelie (10)
Larsson, I. A. Sofia (10)
Andreasson, Patrik (9)
Bartels, M (8)
Lundström, Ingemar (8)
Larsson, Sofia (8)
Boomsma, D. I. (8)
Andersson, Anders G. (8)
Plomin, R (7)
Larsson, Henrik, 197 ... (6)
Kaprio, J (5)
Vuoksimaa, E (5)
Lundström, Erik, 196 ... (5)
Calen, H. (5)
Ekström, C (5)
Van Hees, P.A.W. (5)
Kuja-Halkola, R. (5)
Viklander, Maria (5)
Alnersson, Gustaf (5)
Bergmark, T (5)
Gajewski, K (5)
Lundström, B (5)
Ziemann, V (5)
Jonsson, O. (4)
Palviainen, T (4)
Almqvist, C (4)
Tiemeier, H (4)
Collier, J. (4)
Bingham, R. (4)
Johansen, T (4)
Johansson, Simon (4)
Fransson, J (4)
Pettersson, L (4)
Hottenga, J. J. (4)
Lundström, Ulla (4)
Reistad, D. (4)
Rimfeld, K. (4)
Korhonen, T (4)
Lindmark, Elianne (4)
Hartman, T (4)
Einarsson, L (4)
Haag, N (4)
Hellbeck, E (4)
Wessman, D (4)
show less...
University
Luleå University of Technology (134)
Karolinska Institutet (28)
Uppsala University (27)
University of Gothenburg (20)
Linköping University (15)
Umeå University (11)
show more...
Royal Institute of Technology (9)
Mid Sweden University (8)
Örebro University (7)
Lund University (6)
Stockholm University (5)
Swedish University of Agricultural Sciences (4)
Karlstad University (3)
Chalmers University of Technology (2)
RISE (2)
University of Gävle (1)
University of Skövde (1)
Linnaeus University (1)
University of Borås (1)
show less...
Language
English (219)
Swedish (11)
Research subject (UKÄ/SCB)
Engineering and Technology (139)
Natural sciences (29)
Medical and Health Sciences (29)
Agricultural Sciences (5)
Social Sciences (4)

Year

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 Close

Copy and save the link in order to return to this view