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11.
  • Crowther-Swanepoel, Dalemari, et al. (författare)
  • Common variants at 2q37.3, 8q24.21, 15q21.3 and 16q24.1 influence chronic lymphocytic leukemia risk
  • 2010
  • Ingår i: Nature Genetics. - Nature Publishing Group. - 1546-1718. ; 42:2, s. 59-132
  • Tidskriftsartikel (refereegranskat)abstract
    • To identify new risk variants for chronic lymphocytic leukemia (CLL), we conducted a genome-wide association study of 299,983 tagging SNPs, with validation in four additional series totaling 2,503 cases and 5,789 controls. We identified four new risk loci for CLL at 2q37.3 (rs757978, FARP2; odds ratio (OR) = 1.39; P = 2.11 x 10(-9)), 8q24.21 (rs2456449; OR = 1.26; P = 7.84 x 10(-10)), 15q21.3 (rs7169431; OR = 1.36; P = 4.74 x 10(-7)) and 16q24.1 (rs305061; OR = 1.22; P = 3.60 x 10(-7)). We also found evidence for risk loci at 15q25.2 (rs783540, CPEB1; OR = 1.18; P = 3.67 x 10(-6)) and 18q21.1 (rs1036935; OR = 1.22; P = 2.28 x 10(-6)). These data provide further evidence for genetic susceptibility to this B-cell hematological malignancy.
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12.
  • Jalali, Ali, et al. (författare)
  • Targeted sequencing in chromosome 17q linkage region identifies familial glioma candidates in the Gliogene Consortium
  • 2015
  • Ingår i: Scientific Reports. - Nature Publishing Group. - 2045-2322 .- 2045-2322. ; 5, s. 8278
  • Tidskriftsartikel (refereegranskat)abstract
    • <p>Glioma is a rare, but highly fatal, cancer that accounts for the majority of malignant primary brain tumors. Inherited predisposition to glioma has been consistently observed within non-syndromic families. Our previous studies, which involved non-parametric and parametric linkage analyses, both yielded significant linkage peaks on chromosome 17q. Here, we use data from next generation and Sanger sequencing to identify familial glioma candidate genes and variants on chromosome 17q for further investigation. We applied a filtering schema to narrow the original list of 4830 annotated variants down to 21 very rare (&lt;0.1% frequency), non-synonymous variants. Our findings implicate the MYO19 and KIF18B genes and rare variants in SPAG9 and RUNDC1 as candidates worthy of further investigation. Burden testing and functional studies are planned.</p>
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13.
  • McKay, James D., et al. (författare)
  • Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes
  • 2017
  • Ingår i: Nature Genetics. - Nature Publishing Group. - 1061-4036 .- 1546-1718. ; 49:7, s. 1126-1132
  • Tidskriftsartikel (refereegranskat)abstract
    • <p>Although several lung cancer susceptibility loci have been identified, much of the heritability for lung cancer remains unexplained. Here 14,803 cases and 12,262 controls of European descent were genotyped on the OncoArray and combined with existing data for an aggregated genomewide association study (GWAS) analysis of lung cancer in 29,266 cases and 56,450 controls. We identified 18 susceptibility loci achieving genome-wide significance, including 10 new loci. The new loci highlight the striking heterogeneity in genetic susceptibility across the histological subtypes of lung cancer, with four loci associated with lung cancer overall and six loci associated with lung adenocarcinoma. Gene expression quantitative trait locus (eQTL) analysis in 1,425 normal lung tissue samples highlights RNASET2, SECISBP2L and NRG1 as candidate genes. Other loci include genes such as a cholinergic nicotinic receptor, CHRNA2, and the telomere-related genes OFBC1 and RTEL1. Further exploration of the target genes will continue to provide new insights into the etiology of lung cancer.</p>
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14.
  • Ostrom, Quinn T., et al. (författare)
  • Age‐specific genome‐wide association study in glioblastoma identifies increased proportion of 'lower grade glioma'‐like features associated with younger age
  • 2018
  • Ingår i: International Journal of Cancer. - WILEY. - 0020-7136 .- 1097-0215. ; 143:10, s. 2359-2366
  • Tidskriftsartikel (refereegranskat)abstract
    • <p>Glioblastoma (GBM) is the most common malignant brain tumor in the United States. Incidence of GBM increases with age, and younger age‐at‐diagnosis is significantly associated with improved prognosis. While the relationship between candidate GBM risk SNPs and age‐at‐diagnosis has been explored, genome‐wide association studies (GWAS) have not previously been stratified by age. Potential age‐specific genetic effects were assessed in autosomal SNPs for GBM patients using data from four previous GWAS. Using age distribution tertiles (18–53, 54–64, 65+) datasets were analyzed using age‐stratified logistic regression to generate <em>p</em> values, odds ratios (OR), and 95% confidence intervals (95%CI), and then combined using meta‐analysis. There were 4,512 total GBM cases, and 10,582 controls used for analysis. Significant associations were detected at two previously identified SNPs in 7p11.2 (rs723527 [<em>p</em><sub>54–63</sub> = 1.50x10<sup>−9</sup>, OR<sub>54–63</sub> = 1.28, 95%CI<sub>54–63</sub> = 1.18–1.39; <em>p</em><sub>64+</sub> = 2.14x10<sup>−11</sup>, OR<sub>64+</sub> = 1.32, 95%CI<sub>64+</sub> = 1.21–1.43] and rs11979158 [<em>p</em><sub>54–63</sub> = 6.13x10<sup>−8</sup>, OR<sub>54–63</sub> = 1.35, 95%CI<sub>54–63</sub> = 1.21–1.50; <em>p</em><sub>64+</sub> = 2.18x10<sup>−10</sup>, OR<sub>64+</sub> = 1.42, 95%CI<sub>64+</sub> = 1.27–1.58]) but only in persons &gt;54. There was also a significant association at the previously identified lower grade glioma (LGG) risk locus at 8q24.21 (rs55705857) in persons ages 18–53 (<em>p</em><sub>18–53</sub> = 9.30 × 10<sup>−11</sup>, OR<sub>18–53</sub> = 1.76, 95%CI<sub>18–53</sub> = 1.49–2.10). Within The Cancer Genome Atlas (TCGA) there was higher prevalence of ‘LGG’‐like tumor characteristics in GBM samples in those 18–53, with IDH1/2 mutation frequency of 15%, as compared to 2.1% [54–63] and 0.8% [64+] (<em>p</em> = 0.0005). Age‐specific differences in cancer susceptibility can provide important clues to etiology. The association of a SNP known to confer risk for <em>IDH1/2</em> mutant glioma and higher prevalence of <em>IDH1/2</em> mutation within younger individuals 18–53 suggests that more younger individuals may present initially with ‘secondary glioblastoma.’</p>
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15.
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16.
  • Rajaraman, Preetha, et al. (författare)
  • Genome-wide association study of glioma and meta-analysis
  • 2012
  • Ingår i: Human Genetics. - 0340-6717 .- 1432-1203. ; 131:12, s. 1877-1888
  • Tidskriftsartikel (refereegranskat)abstract
    • <p>Gliomas account for approximately 80 % of all primary malignant brain tumors and, despite improvements in clinical care over the last 20 years, remain among the most lethal tumors, underscoring the need for gaining new insights that could translate into clinical advances. Recent genome-wide association studies (GWAS) have identified seven new susceptibility regions. We conducted a new independent GWAS of glioma using 1,856 cases and 4,955 controls (from 14 cohort studies, 3 case-control studies, and 1 population-based case-only study) and found evidence of strong replication for three of the seven previously reported associations at 20q13.33 (RTEL), 5p15.33 (TERT), and 9p21.3 (CDKN2BAS), and consistent association signals for the remaining four at 7p11.2 (EGFR both loci), 8q24.21 (CCDC26) and 11q23.3 (PHLDB1). The direction and magnitude of the signal were consistent for samples from cohort and case-control studies, but the strength of the association was more pronounced for loci rs6010620 (20q,13.33; RTEL) and rs2736100 (5p15.33, TERT) in cohort studies despite the smaller number of cases in this group, likely due to relatively more higher grade tumors being captured in the cohort studies. We further examined the 85 most promising single nucleotide polymorphism (SNP) markers identified in our study in three replication sets (5,015 cases and 11,601 controls), but no new markers reached genome-wide significance. Our findings suggest that larger studies focusing on novel approaches as well as specific tumor subtypes or subgroups will be required to identify additional common susceptibility loci for glioma risk.</p>
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17.
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18.
  • Sava, Georgina P., et al. (författare)
  • rs2072135, a low-penetrance variant for chronic lymphocytic leukaemia?
  • 2013
  • Ingår i: British Journal of Haematology. - Federation of European Neuroscience Societies and Blackwell Publishing Ltd. - 0007-1048. ; 162:2, s. 221-228
  • Tidskriftsartikel (refereegranskat)abstract
    • Recent multi-stage genome-wide association studies (GWAS) have identified single nucleotide polymorphisms (SNPs) that are robustly associated with chronic lymphocytic leukaemia (CLL) risk. Given that most of these SNPs map to non-coding regions of the genome, it suggests that the functional basis of many GWAS signals will be through differential gene expression. By referencing publically accessible expression quantitative trait loci (eQTL) data on lymphoblastoid cells lines (LCLs) we have globally demonstrated an association between GWAS P-values and eQTLs, consistent with much of the variation in CLL risk being defined by variants impacting on gene expression. To explore using eQTL data to select GWAS SNPs for replication, we genotyped rs2072135 (GWAS P-value=00024, eQTL P-value=1510(-19)) in five independent case-control series totalling 1968 cases and 3538 controls. While not attaining statistical significance (combined P-value=1x10(-4)), rs2072135 defines a promising risk locus for CLL. Incorporating eQTL information offers an attractive strategy for selecting SNPs from GWAS for validation.
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19.
  • Amirian, E. Susan, et al. (författare)
  • The Glioma International Case-Control Study : A Report From the Genetic Epidemiology of Glioma International Consortium
  • 2016
  • Ingår i: American Journal of Epidemiology. - 0002-9262 .- 1476-6256. ; 183:2, s. 85-91
  • Tidskriftsartikel (refereegranskat)abstract
    • <p>Decades of research have established only a few etiological factors for glioma, which is a rare and highly fatal brain cancer. Common methodological challenges among glioma studies include small sample sizes, heterogeneity of tumor subtypes, and retrospective exposure assessment. Here, we briefly describe the Glioma International Case-Control (GICC) Study (recruitment, 2010-2013), a study being conducted by the Genetic Epidemiology of Glioma International Consortium that integrates data from multiple data collection sites, uses a common protocol and questionnaire, and includes biospecimen collection. To our knowledge, the GICC Study is the largest glioma study to date that includes collection of blood samples, which will allow for genetic analysis and interrogation of gene-environment interactions.</p>
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20.
  • Atkins, Isabelle, et al. (författare)
  • Transcriptome-Wide Association Study Identifies New Candidate Susceptibility Genes for Glioma
  • 2019
  • Ingår i: Cancer Research. - American Association for Cancer Research. - 0008-5472 .- 1538-7445. ; 79:8, s. 2065-2071
  • Tidskriftsartikel (refereegranskat)abstract
    • <p>Genome-wide association studies (GWAS) have so far identified 25 loci associated with glioma risk, with most showing specificity for either glioblastoma (GBM) or non-GBM tumors. The majority of these GWAS susceptibility variants reside in noncoding regions and the causal genes underlying the associations are largely unknown. Here we performed a transcriptome-wide association study to search for novel risk loci and candidate causal genes at known GWAS loci using Genotype-Tissue Expression Project (GTEx) data to predict cis-predicted gene expression in relation to GBM and non-GBM risk in conjunction with GWAS summary statistics on 12,488 glioma cases (6,183 GBM and 5,820 non-GBM) and 18,169 controls. Imposing a Bonferroni-corrected significance level of P &lt; 5.69 x 10(-6), candidate novel risk locus for GBM (mean Z = 4.43; P = 5.68 x 10(-6)). GALNT6 resides at least 55 Mb away from any previously identified glioma risk variant, while all other 30 significantly associated genes were located within 1 Mb of known GWAS-identified loci and were not significant after conditioning on the known GWAS-identified variants. These data identify a novel locus (GALNT6 at 12q13.33) and 30 genes at 12 known glioma risk loci associated with glioma risk, providing further insights into glioma tumorigenesis.</p><p>Significance: This study identifies new genes associated with glioma risk, increasing understanding of how these tumors develop.</p>
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