SwePub
Sök i SwePub databas

  Extended search

Träfflista för sökning "WFRF:(Lindstrom S) ;hsvcat:3"

Search: WFRF:(Lindstrom S) > Medical and Health Sciences

  • Result 1-10 of 82
Sort/group result
   
EnumerationReferenceCoverFind
1.
  •  
2.
  •  
3.
  • Mishra, A., et al. (author)
  • Stroke genetics informs drug discovery and risk prediction across ancestries
  • 2022
  • In: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 611, s. 115-123
  • Journal article (peer-reviewed)abstract
    • Previous genome-wide association studies (GWASs) of stroke - the second leading cause of death worldwide - were conducted predominantly in populations of European ancestry(1,2). Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis(3), and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach(4), we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry(5). Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries.
  •  
4.
  • Jiang, X., et al. (author)
  • Shared heritability and functional enrichment across six solid cancers
  • 2019
  • In: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 10
  • Journal article (peer-reviewed)abstract
    • Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (r(g) = 0.57, p = 4.6 x 10(-8)), breast and ovarian cancer (r(g) = 0.24, p = 7 x 10(-5)), breast and lung cancer (r(g) = 0.18, p = 1.5 x 10(-6)) and breast and colorectal cancer (r(g) = 0.15, p = 1.1 x 10(-4)). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.
  •  
5.
  •  
6.
  •  
7.
  •  
8.
  •  
9.
  •  
10.
  •  
Skapa referenser, mejla, bekava och länka
  • Result 1-10 of 82
Type of publication
journal article (80)
conference paper (2)
Type of content
peer-reviewed (74)
other academic/artistic (8)
Author/Editor
Brenner, H (19)
Hall, P (19)
Haiman, CA (19)
Chanock, SJ (19)
Southey, MC (18)
Easton, DF (18)
show more...
Giles, GG (17)
Hopper, JL (16)
Le Marchand, L (16)
Zheng, W. (15)
Lind, Lars (15)
Czene, K (15)
Dunning, AM (15)
Chang-Claude, J (15)
Dennis, J (14)
Cox, A (14)
Garcia-Closas, M (14)
Lindstrom, J (14)
Wolk, Alicja (13)
Brauch, H (13)
Couch, FJ (13)
Guenel, P (13)
Truong, T (13)
Bojesen, SE (13)
Lubinski, J (13)
Nevanlinna, H (13)
Olsson, Håkan (12)
Wang, Q. (12)
Blomqvist, C (12)
Anton-Culver, H (12)
Fasching, PA (12)
Mannermaa, A (12)
Dork, T (12)
Milne, RL (11)
Bolla, MK (11)
Hamann, U (11)
Schmidt, MK (11)
Beckmann, MW (11)
Muir, K (11)
Peto, J (11)
Burwinkel, B (11)
Nordestgaard, BG (11)
Arndt, V (11)
Lambrechts, D (11)
Simard, J (11)
Devilee, P (11)
Chenevix-Trench, G (11)
Pharoah, PDP (11)
Kraft, Peter (11)
Tuomilehto, J. (11)
show less...
University
Karolinska Institutet (62)
Uppsala University (38)
Lund University (34)
Umeå University (30)
University of Gothenburg (19)
Linköping University (8)
show more...
Örebro University (4)
Stockholm University (3)
Mälardalen University (2)
Chalmers University of Technology (1)
Högskolan Dalarna (1)
Swedish University of Agricultural Sciences (1)
show less...
Language
English (82)
Research subject (UKÄ/SCB)
Medical and Health Sciences (82)Undo refine
Natural sciences (6)
Social Sciences (2)
Engineering and Technology (1)

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