SwePub
Sök i SwePub databas

  Utökad sökning

Träfflista för sökning "WFRF:(Gronberg H) "

Sökning: WFRF:(Gronberg H)

Sortera/gruppera träfflistan
   
NumreringReferensOmslagsbildHitta
1.
  • Allen, Hana Lango, et al. (författare)
  • Hundreds of variants clustered in genomic loci and biological pathways affect human height.
  • 2010
  • Ingår i: Nature. - 1476-4687. ; 467:7317, s. 832-8
  • Tidskriftsartikel (refereegranskat)abstract
    • Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits(1), but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait(2,3). The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P<0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented among variants that alter amino-acid structure of proteins and expression levels of nearby genes. Our data explain approximately 10% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to approximately 16% of phenotypic variation (approximately 20% of heritable variation). Although additional approaches are needed to dissect the genetic architecture of polygenic human traits fully, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.
  •  
2.
  •  
3.
  •  
4.
  • Kar, Siddhartha P, et al. (författare)
  • Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types
  • 2016
  • Ingår i: Cancer discovery. - 2159-8290. ; 6:9, s. 1052-1067
  • Tidskriftsartikel (refereegranskat)abstract
    • UNLABELLED: Breast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349 cases and 116,421 controls of European ancestry, all together and in pairs, identified at P < 10(-8) seven new cross-cancer loci: three associated with susceptibility to all three cancers (rs17041869/2q13/BCL2L11; rs7937840/11q12/INCENP; rs1469713/19p13/GATAD2A), two breast and ovarian cancer risk loci (rs200182588/9q31/SMC2; rs8037137/15q26/RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/NSUN4; rs9375701/6q23/L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell-type-specific expression quantitative trait locus and enhancer-gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P < 10(-5) in the three-cancer meta-analysis.SIGNIFICANCE: We demonstrate that combining large-scale GWA meta-analysis findings across cancer types can identify completely new risk loci common to breast, ovarian, and prostate cancers. We show that the identification of such cross-cancer risk loci has the potential to shed new light on the shared biology underlying these hormone-related cancers. Cancer Discov; 6(9); 1052-67. ©2016 AACR.This article is highlighted in the In This Issue feature, p. 932.
  •  
5.
  •  
6.
  • Berndt, Sonja I., et al. (författare)
  • Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture
  • 2013
  • Ingår i: Nature Genetics. - 1061-4036 .- 1546-1718. ; 45:5, s. 501-U69
  • Tidskriftsartikel (refereegranskat)abstract
    • Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.
7.
  •  
8.
  • Jiang, Xia, et al. (författare)
  • Shared heritability and functional enrichment across six solid cancers
  • 2019
  • Ingår i: Nature Communications. - 2041-1723. ; 10
  • Tidskriftsartikel (refereegranskat)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 (rg = 0.57, p = 4.6 × 10−8), breast and ovarian cancer (rg = 0.24, p = 7 × 10−5), breast and lung cancer (rg = 0.18, p =1.5 × 10−6) and breast and colorectal cancer (rg = 0.15, p = 1.1 × 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. © 2019, The Author(s).
9.
  •  
10.
  •  
Skapa referenser, mejla, bekava och länka
Åtkomst
fritt online (16)
Typ av publikation
tidskriftsartikel (234)
konferensbidrag (8)
forskningsöversikt (2)
Typ av innehåll
refereegranskat (221)
övrigt vetenskapligt (23)
Författare/redaktör
Gronberg, H, (222)
Grönberg, Henrik (71)
Wiklund, F, (59)
Wiklund, Fredrik (50)
Al Olama, AA (36)
Kote-Jarai, Z (36)
visa fler...
Xu, JF (35)
Xu, Jianfeng (35)
Haiman, CA (33)
Muir, K (31)
Schleutker, J (31)
Stanford, JL (31)
Cybulski, C (31)
Nordstrom, T, (31)
Brenner, H (30)
Lindberg, J (30)
Travis, RC (30)
Maier, C (29)
Batra, J (29)
Teixeira, MR (29)
Giles, GG (28)
Aly, M, (28)
Kaneva, R (28)
Nordestgaard, BG (27)
Benlloch, S (27)
Eklund, M (27)
Khaw, KT (26)
Kibel, AS (26)
Isaacs, WB (26)
Neal, DE (26)
Isaacs, William B (26)
Cannon-Albright, L (25)
Hamdy, FC (24)
Stattin, Pär, (23)
Adolfsson, J. (23)
Egevad, L, (23)
Lindstrom, S (23)
Adami, Hans Olov (22)
Henderson, BE (22)
Berndt, SI (22)
Pashayan, N (22)
Hunter, DJ (21)
Kraft, P (21)
Eeles, RA (21)
Donovan, JL (21)
Easton, DF (20)
Thibodeau, SN (20)
Pandha, H (20)
Zheng, SL (20)
Park, JY (20)
visa färre...
Lärosäte
Karolinska Institutet (232)
Umeå universitet (65)
Göteborgs universitet (21)
Lunds universitet (18)
Uppsala universitet (16)
Mälardalens högskola (14)
visa fler...
Örebro universitet (6)
Linköpings universitet (4)
Högskolan i Jönköping (3)
Högskolan Kristianstad (2)
Chalmers tekniska högskola (2)
Högskolan i Gävle (2)
Högskolan Väst (1)
visa färre...
Språk
Engelska (244)
Forskningsämne (UKÄ/SCB)
Medicin och hälsovetenskap (81)
Naturvetenskap (2)
Teknik (1)

År

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy