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Sökning: L773:1476 5470 OR L773:1466 4879

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42.
  • Ivansson, Emma L., et al. (författare)
  • Pathway-based analysis of genetic susceptibility to cervical cancer in situ : HLA-DPB1 affects risk in Swedish women
  • 2011
  • Ingår i: Genes and Immunity. - : Springer Science and Business Media LLC. - 1466-4879 .- 1476-5470. ; 12:8, s. 605-614
  • Tidskriftsartikel (refereegranskat)abstract
    • We have conducted a pathway-based analysis of genome-wide single-nucleotide polymorphism (SNP) data in order to identify genetic susceptibility factors for cervical cancer in situ. Genotypes derived from Affymetrix 500k or 5.0 arrays for 1076 cases and 1426 controls were analyzed for association, and pathways with enriched signals were identified using the SNP ratio test. The most strongly associated KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways were Asthma (empirical P=0.03), Folate biosynthesis (empirical P=0.04) and Graft-versus-host disease (empirical P=0.05). Among the 11 top-ranking pathways were 6 related to the immune response with the common denominator being genes in the major histocompatibility complex (MHC) region on chromosome 6. Further investigation of the MHC revealed a clear effect of HLA-DPB1 polymorphism on disease susceptibility. At a functional level, DPB1 alleles associated with risk and protection differ in key amino-acid residues affecting peptide-binding motifs in the extracellular domains. The results illustrate the value of pathway-based analysis to mine genome-wide data, and point to the importance of the MHC region and specifically the HLA-DPB1 locus for susceptibility to cervical cancer.
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43.
  • Ivansson, Emma, et al. (författare)
  • MHC loci affecting cervical cancer risk : distinguishing the effects of HLA-DQB1 and non-HLA genes TNF, LTA, TAP1 and TAP2
  • 2008
  • Ingår i: Genes and Immunity. - : Springer Science and Business Media LLC. - 1466-4879 .- 1476-5470. ; 9:7, s. 613-623
  • Tidskriftsartikel (refereegranskat)abstract
    • Cervical cancer has been associated with specific human leukocyte antigen (HLA) haplotypes/alleles and with polymorphisms at the nearby non-HLA loci TNF, LTA, TAP1 and TAP2. Distinguishing effects of individual loci in the major histocompatibility complex (MHC) region are difficult due to the complex linkage disequilibrium (LD) pattern characterized by high LD, punctuated by recombination hot spots. We have evaluated the association of polymorphism at HLA class II DQB1 and the TNF, LTA, TAP1 and TAP2 genes with cervical cancer risk, using 1306 familial cases and 288 controls. DQB1 was strongly associated; alleles *0301, *0402 and *0602 increased cancer susceptibility, whereas *0501 and *0603 decreased susceptibility. Among the non-HLA loci, association was only detected for the TAP2 665 polymorphism, and interallelic disequilibrium analysis indicated that this could be due to LD with DQB1. As the TAP2 665 association was seen predominantly in non-carriers of DQB1 susceptibility alleles, we hypothesized that TAP2 665 may have an effect not attributable to LD with DQB1. However, a logistic regression analysis suggested that TAP2 665 was strongly influenced by LD with DQB1. Our results emphasize the importance of large sample sizes and underscore the necessity of examining both HLA and non-HLA loci in the MHC to assign association to the correct locus.
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45.
  • Johannesson, Martina, et al. (författare)
  • Gene expression profiling of arthritis using a QTL chip reveals a complex gene regulation of the Cia5 region in mice.
  • 2005
  • Ingår i: Genes and Immunity. - : Springer Science and Business Media LLC. - 1476-5470 .- 1466-4879. ; 6:7, s. 575-583
  • Tidskriftsartikel (refereegranskat)abstract
    • One of the major quantitative trait loci (QTLs) associated with arthritis in crosses between B10.RIII and RIIIS/J mice is the Cia5 on chromosome 3. Early in the congenic mapping process it was clear that the locus was complex, consisting of several subloci with small effects. Therefore, we developed two novel strategies to dissect a QTL: the partial advanced intercross (PAI) strategy, with which we recently found the Cia5 region to consist of three loci, Cia5, Cia21 and Cia22, and now we introduce the QTL-chip strategy, where we have combined congenic mapping with a QTL-restricted expression profiling using a novel microarray design. The expression of QTL genes was compared between parental and congenic mice in lymph node, spleen and paw samples in five biological replicates and in dye-swapped experiments at three time points during the induction phase of arthritis. The QTL chip approach revealed 4 genes located in Cia21, differently expressed in lymph nodes, and 14 genes in Cia22, located within two clusters. One cluster contains six genes, differently expressed in spleen, and the second cluster contains eight genes, differently expressed in paws. We conclude the QTL-chip strategy to be valuable in the selection of candidate genes to be prioritized for further investigation.
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46.
  • Johannesson, Martina, et al. (författare)
  • Identification of epistasis through a partial advanced intercross reveals three arthritis loci within the Cia5 QTL in mice
  • 2005
  • Ingår i: Genes and Immunity. - : Springer Science and Business Media LLC. - 1466-4879 .- 1476-5470. ; 6:3, s. 175-185
  • Tidskriftsartikel (refereegranskat)abstract
    • Identification of genes controlling complex diseases has proven to be difficult; however, animal models may pave the way to determine how low penetrant genes interact to promote disease development. We have dissected the Cia5/Eae3 susceptibility locus on mouse chromosome 3 previously identified to control disease in experimental models of multiple sclerosis and rheumatoid arthritis. Congenic strains showed significant but small effects on severity of both diseases. To improve the penetrance, we have now used a new strategy that defines the genetic interactions. The QTL interacted with another locus on chromosome 15 and a partial advanced intercross breeding of the two congenic strains for eight generations accumulated enough statistical power to identify interactions with several loci on chromosome 15. Thereby, three separate loci within the original QTL could be identified; Cia5 affected the onset of arthritis by an additive interaction with Cia31 on chromosome 15, whereas the Cia21 and Cia22 affected severity during the chronic phase of the disease through an epistatic interaction with Cia32 on chromosome 15. The definition of genetic interactions was a prerequisite to dissect the Cia5 QTL and we suggest the partial advanced intercross strategy to be helpful also for dissecting other QTL controlling complex phenotypes.
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