SwePub
Sök i SwePub databas

  Utökad sökning

Träfflista för sökning "WFRF:(Fernandez C) srt2:(2020-2021)"

Sökning: WFRF:(Fernandez C) > (2020-2021)

Sortera/gruppera träfflistan
   
NumreringReferensOmslagsbildHitta
1.
  •  
2.
  •  
3.
  • Iurilli, M. L. C., et al. (författare)
  • Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight NCD Risk Factor Collaboration (NCD-RisC)
  • 2021
  • Ingår i: eLife. - : ELIFE SCIENCES PUBLICATIONS LTD. - 2050-084X. ; 10
  • Tidskriftsartikel (refereegranskat)abstract
    • From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions.
  •  
4.
  • de Rojas, I., et al. (författare)
  • Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores
  • 2021
  • Ingår i: Nature Communications. - : Springer Nature. - 2041-1723 .- 2041-1723. ; 12:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Genetic discoveries of Alzheimer’s disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer’s disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer’s disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer’s disease.
  •  
5.
  •  
6.
  • Munn-Chernoff, M. A., et al. (författare)
  • Shared genetic risk between eating disorder- and substance-use-related phenotypes: Evidence from genome-wide association studies
  • 2021
  • Ingår i: Addiction Biology. - 1355-6215 .- 1369-1600. ; 26:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Eating disorders and substance use disorders frequently co-occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa and problem alcohol use (genetic correlation [r(g)], twin-based = 0.23-0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome-wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge eating, AN without binge eating, and a bulimia nervosa factor score), and eight substance-use-related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder and schizophrenia. Total study sample sizes per phenotype ranged from similar to 2400 to similar to 537 000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism-based genetic correlations between eating disorder- and substance-use-related phenotypes. Significant positive genetic associations emerged between AUD and AN (r(g) = 0.18; false discovery rate q = 0.0006), cannabis initiation and AN (r(g) = 0.23; q < 0.0001), and cannabis initiation and AN with binge eating (r(g) = 0.27; q = 0.0016). Conversely, significant negative genetic correlations were observed between three nondiagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge eating (r(gs) = -0.19 to -0.23; qs < 0.04). The genetic correlation between AUD and AN was no longer significant after co-varying for major depressive disorder loci. The patterns of association between eating disorder- and substance-use-related phenotypes highlights the potentially complex and substance-specific relationships among these behaviors.
  •  
7.
  •  
8.
  •  
9.
  •  
10.
  •  
Skapa referenser, mejla, bekava och länka
Typ av publikation
tidskriftsartikel (191)
konferensbidrag (11)
rapport (1)
forskningsöversikt (1)
Typ av innehåll
refereegranskat (184)
övrigt vetenskapligt (20)
Författare/redaktör
Kim, J. (18)
Mataix-Cols, D (15)
Ruck, C (13)
Frolov, A. (12)
Lindholm, V (12)
Mauri, N. (12)
visa fler...
Tenti, M. (12)
Gudmundsson, Jón E. (12)
Lawrence, C. R. (12)
Zonca, A. (12)
Ashdown, M. (12)
Baccigalupi, C. (12)
Banday, A. J. (12)
Barreiro, R. B. (12)
Bartolo, N. (12)
Basak, S. (12)
Benabed, K. (12)
Bersanelli, M. (12)
Bielewicz, P. (12)
Bond, J. R. (12)
Borrill, J. (12)
Burigana, C. (12)
Calabrese, E. (12)
Crill, B. P. (12)
Cuttaia, F. (12)
de Zotti, G. (12)
Delabrouille, J. (12)
Diego, J. M. (12)
Dupac, X. (12)
Eriksen, H. K. (12)
Finelli, F. (12)
Galeotta, S. (12)
Ganga, K. (12)
Gonzalez-Nuevo, J. (12)
Gruppuso, A. (12)
Herranz, D. (12)
Keskitalo, R. (12)
Kunz, M. (12)
Kurki-Suonio, H. (12)
Lattanzi, M. (12)
Levrier, F. (12)
Lilje, P. B. (12)
Lopez-Caniego, M. (12)
Macias-Perez, J. F. (12)
Mandolesi, N. (12)
Maris, M. (12)
Martin, P. G. (12)
Martinez-Gonzalez, E ... (12)
Matarrese, S. (12)
Migliaccio, M. (12)
visa färre...
Lärosäte
Karolinska Institutet (104)
Göteborgs universitet (30)
Stockholms universitet (24)
Uppsala universitet (23)
Lunds universitet (21)
Chalmers tekniska högskola (15)
visa fler...
Kungliga Tekniska Högskolan (13)
Umeå universitet (11)
Örebro universitet (8)
Linköpings universitet (6)
Malmö universitet (2)
Högskolan i Skövde (2)
RISE (2)
Högskolan Väst (1)
Jönköping University (1)
Linnéuniversitetet (1)
Högskolan i Borås (1)
Karlstads universitet (1)
Högskolan Dalarna (1)
visa färre...
Språk
Engelska (204)
Forskningsämne (UKÄ/SCB)
Medicin och hälsovetenskap (73)
Naturvetenskap (54)
Teknik (7)
Samhällsvetenskap (2)

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