| 131. |
- Perez-Cornago, Aurora, et al.
(författare)
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Prediagnostic circulating concentrations of plasma insulin-like growth factor-I and risk of lymphoma in the European Prospective Investigation into Cancer and Nutrition
- 2017
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Ingår i: International Journal of Cancer. - : WILEY-BLACKWELL. - 0020-7136 .- 1097-0215. ; 140:5, s. 1111-1118
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Tidskriftsartikel (refereegranskat)abstract
- Insulin-like growth factor (IGF)-I has cancer promoting activities. However, the hypothesis that circulating IGF-I concentration is related to risk of lymphoma overall or its subtypes has not been examined prospectively. IGF-I concentration was measured in pre-diagnostic plasma samples from a nested case-control study of 1,072 cases of lymphoid malignancies and 1,072 individually matched controls from the European Prospective Investigation into Cancer and Nutrition. Odds ratios (ORs) and confidence intervals (CIs) for lymphoma were calculated using conditional logistic regression. IGF-I concentration was not associated with overall lymphoma risk (multivariable-adjusted OR for highest versus lowest third = 0.77 [95% CI = 0.57-1.03], p(trend) = 0.06). There was no statistical evidence of heterogeneity in this association with IGF-I by sex, age at blood collection, time between blood collection and diagnosis, age at diagnosis, or body mass index (pheterogeneity for all >= 0.05). There were no associations between IGF-I concentration and risk for specific BCL subtypes, T-cell lymphoma or Hodgkin lymphoma, although number of cases were small. In this European population, IGF-I concentration was not associated with risk of overall lymphoma. This study provides the first prospective evidence on circulating IGF-I concentrations and risk of lymphoma. Further What's new? Insulin-like growth factor I does not appear to influence lymphoma risk, according to new results. IGF-I can promote some cancers, but there hasn't been a prospective epidemiological study examining the link between IGF-I concentration and lymphoma risk. To uncover a link, these authors arranged a NESTED case-control study with participants from the European Prospective Investigation into Cancer and Nutrition (EPIC). They tested for IGF-I in pre-diagnosis samples and found no association between the factor and overall lymphoma risk, nor with any subtype, although the number of cases was small for each subtype, and further studies are necessary.
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| 132. |
- Pettersson-Kymmer, Ulrika, et al.
(författare)
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Genome-wide association study meta-analysis identifies the SOAT1/AXDND1 locus to be associated with hip and forearm fracture risk
- 2013
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Ingår i: Bone Abstracts.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Hip and forearm fractures are the two clinically most important non-vertebral fractures. Twin studies have demonstrated a high heritability of these fractures and the heritable component of fracture risk is largely independent of BMD. To identify common genetic variants associated with hip and forearm fractures, we performed a genome-wide association study (GWAS ~ 2.5 million SNPs) meta-analysis of two large fracture data sets within the well-characterized UFO cohort (UFO-hip; 1014 hip fractures and 862 controls, and UFO-forearm; 1060 forearm fractures and 1055 controls). All fractures were confirmed through radiographic reports. Replication was performed in the Women’s Health Initiative (WHI) cohort (1845 hip fractures verified by medical records and 2120 controls). We identified one SNP within the SOAT1/AXDND1 locus (1q25.2) that was associated with fracture risk at genome wide significance (OR per allele=1.33; P=3.1×10−8) in the UFO discovery meta-analysis. This SNP was associated with fracture risk both in the WHI replication cohort (OR 1.16, P=2.1×10−3) and in the combined analyses comprising 7956 subjects (3919 cases and 4037 controls; OR=1.24, P=5.6×10−10). However, it was not associated with BMD or biochemical bone markers, suggesting that its association with fractures is BMD-independent. A genetic score (GS), including information from 63 SNPs earlier shown to be reproducibly associated with BMD, was significantly associated with both hip (P=7.9×10−4) and forearm (P=8.6×10−5) fractures. Models including both the SNP in the SOAT1/AXDND1 locus and the GS demonstrated that the impact of the SNP in the SOAT1/AXDND1 locus on fracture risk was independent of the BMD-associated GS. In summary, both a BMD-associated GS and a non-BMD associated genetic variant in the SOAT1/AXDND1 locus are associated with hip and forearm fractures.
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| 133. |
- Rajaraman, Preetha, et al.
(författare)
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Genome-wide association study of glioma and meta-analysis
- 2012
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Ingår i: Human Genetics. - : SPRINGER. - 0340-6717 .- 1432-1203. ; 131:12, s. 1877-1888
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Tidskriftsartikel (refereegranskat)abstract
- 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.
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| 134. |
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| 135. |
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| 136. |
- Rentoft, Matilda, et al.
(författare)
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A geographically matched control population efficiently limits the number of candidate disease-causing variants in an unbiased whole-genome analysis
- 2019
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Ingår i: PLoS ONE. - : Public Library of Science (PLoS). - 1932-6203 .- 1932-6203. ; 14:3
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Tidskriftsartikel (refereegranskat)abstract
- Whole-genome sequencing is a promising approach for human autosomal dominant disease studies. However, the vast number of genetic variants observed by this method constitutes a challenge when trying to identify the causal variants. This is often handled by restricting disease studies to the most damaging variants, e. g. those found in coding regions, and overlooking the remaining genetic variation. Such a biased approach explains in part why the genetic causes of many families with dominantly inherited diseases, in spite of being included in whole-genome sequencing studies, are left unsolved today. Here we explore the use of a geographically matched control population to minimize the number of candidate disease-causing variants without excluding variants based on assumptions on genomic position or functional predictions. To exemplify the benefit of the geographically matched control population we apply a typical disease variant filtering strategy in a family with an autosomal dominant form of colorectal cancer. With the use of the geographically matched control population we end up with 26 candidate variants genome wide. This is in contrast to the tens of thousands of candidates left when only making use of available public variant datasets. The effect of the local control population is dual, it (1) reduces the total number of candidate variants shared between affected individuals, and more importantly (2) increases the rate by which the number of candidate variants are reduced as additional affected family members are included in the filtering strategy. We demonstrate that the application of a geographically matched control population effectively limits the number of candidate disease-causing variants and may provide the means by which variants suitable for functional studies are identified genome wide.
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| 137. |
- Rentoft, Matilda, et al.
(författare)
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Heterozygous colon cancer-associated mutations of SAMHD1 have functional significance
- 2016
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Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 113:17, s. 4723-4728
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Tidskriftsartikel (refereegranskat)abstract
- Even small variations in dNTP concentrations decrease DNA replication fidelity, and this observation prompted us to analyze genomic cancer data for mutations in enzymes involved in dNTP metabolism. We found that sterile alpha motif and histidine-aspartate domain-containing protein 1 (SAMHD1), a deoxyribonucleoside triphosphate triphosphohydrolase that decreases dNTP pools, is frequently mutated in colon cancers, that these mutations negatively affect SAMHD1 activity, and that severalSAMHD1mutations are found in tumors with defective mismatch repair. We show that minor changes in dNTP pools in combination with inactivated mismatch repair dramatically increase mutation rates. Determination of dNTP pools in mouse embryos revealed that inactivation of oneSAMHD1allele is sufficient to elevate dNTP pools. These observations suggest that heterozygous cancer-associatedSAMHD1mutations increase mutation rates in cancer cells.
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| 138. |
- Rentoft, Matilda, et al.
(författare)
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Robusta biomarkörer för prediktion av risk och sjukdom : en utvärdering av reproducerbarheten hos de stora kommersiella omik-plattformarna
- 2022
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Rapport (populärvet., debatt m.m.)abstract
- I och med utveckling inom storskalig analys av blodprover har man idag insett nyttan av att omvandla biobanker med lagrade humanprover till data-banker där forskare snabbt kan få tillgång till data för att svara på forsknings-frågor. Problemet är att många av teknikerna för att skapa storskaliga data är semikvantitativa, värdena går inte att relatera till en absolut koncentration och är därmed svåra att slå samman och jämföra över tid. Randomisering, det vill säga att proverna analyseras i slumpvis inbördes ordning, är en av de viktigas-te aspekterna för att skapa data som går att slå samman och återanvända för många forskningsfrågor. Detta underlättar korrigering av oönskade analysva-riationer över tid. Utöver detta kan man använda sig av bryggningsprover, QC-prov (kvalitetskontrollprov) eller ankarprover, som analyseras upprepat både inom och mellan analystillfällen, vilket underlättar att lägga samman dataset som analyseras vid olika tillfällen.Många kommersiella analysplattformar inkluderar ett eget QC-prov i analysen och vissa delar med sig av data för dessa prover. Det vore värdefullt om alla plattformar delade dessa data för kvalitetsutvärdering och eventuell korrige-ring av analysvariationer över tid. För alla semikvantitativa plattformar som undersöktes (Olink, Somalogic, Metabolon och Biocrates) var den tekniska variabiliteten mellan QC-proverna betydligt lägre än variabiliteten mellan ana-lyserade plasmaprover. Detta var tydligast för proteomikplattformarna, vilket antyder att förutsättningarna att upptäcka biologiska skillnader är bättre i pro-teomikdata. Undantaget från detta är en femte plattform, Nightingale, en kvan-titativ men smalare metabololmikmetod som anses generera stabila mätningar.Vid all utveckling av biomarkörpaneler för att prediktera sjukdom behöver man göra upptäcktsanalyser, sedan valideringsstudier och därefter tester i den situation man tänker att testet ska fungera. De breda omikplattformarna läm-par sig för upptäckt och eventuellt validering, men för det faktiska kliniska tes-tet behövs en kvantitativ analys för att verkligen utvärdera att de proteiner eller metaboliter man vill använda är stabilt uppmätbara och fungerar för att pre-diktera sjukdom eller risk för sjukdom.
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| 139. |
- Robertson, Lindsay B, et al.
(författare)
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Survey of familial glioma and role of germline p16INK4A/p14ARF and p53 mutation
- 2010
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Ingår i: Familial Cancer. - : Springer Science and Business Media LLC. - 1389-9600 .- 1573-7292. ; 9:3, s. 413-421
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Tidskriftsartikel (refereegranskat)abstract
- There is increasing recognition of familial propensity to glioma as a distinct clinical entity beyond a few rare syndromes; however its genetic basis is poorly understood. The role of p16(INK4A)/p14(ARF) and p53 mutations in sporadic glioma provides a strong rationale for investigating germline mutations in these genes as a cause of familial glioma. To survey the familial glioma phenotype and examine the contribution of germline mutation in p16(INK4A)/p14(ARF) and p53 to the disease we have analyzed a series of 101 index familial cases collected through the GLIOGENE Consortium (http://braintumor.epigenetic.org/). There was little evidence for within family correlations for tumour histology, suggesting generic susceptibility to glial tumors. We did not detect any functional mutations in p16(INK4A) or p14(ARF). One index case with glioblastoma multiforme (GBM) diagnosed at age 54 and had a family history comprised of a paternal aunt with GBM at age 55, carried the p53 R158H mutation, which is predicted to be functional and has previously been implicated as a cause of Li-Fraumeni syndrome. Our findings provide no evidence that p16(INK4A)/p14(ARF) and p53 mutations contribute significantly to familial glioma.
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| 140. |
- Rohrmann, Sabine, et al.
(författare)
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Concentrations of IGF-I and IGFBP-3 and brain tumor risk in the European prospective investigation into cancer and nutrition
- 2011
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Ingår i: Cancer Epidemiology, Biomarkers and Prevention. - 1055-9965 .- 1538-7755. ; 20:10, s. 2174-2182
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Insulin-like growth factor-1 (IGF-I) is important in normal brain development but in the adult brain, IGF-I overexpression may be a risk factor for tumor development. METHODS: We examined the association between circulating concentrations of IGF-I and IGFBP-3 in relation to risk of gliomas (74 low-grade, 206 high-grade gliomas), meningiomas (n = 174) and acoustic neuromas (n = 49) by using a case-control design nested in the European Prospective Investigation into Cancer and Nutrition. IGF-I and IGFBP-3 were measured by ELISAs.Conditional logistic regression was used to compute ORs and corresponding 95% CIs. RESULTS: The risk of low-grade gliomas was elevated with increased IGF-I (OR = 3.60, 95% CI: 1.11-11.7; top vs. bottom quartile) and decreased with elevated IGFBP-3 concentrations (OR = 0.28, 95% CI: 0.09-0.84) after mutual adjustment of these two factors; these results became nonsignificant after exclusion of the first year of follow-up. No association was observed for high-grade gliomas or meningiomas. Both high IGF-I and IGFBP-3 concentrations were associated with risk of acoustic neuromas (IGF-I: OR = 6.63, 95% CI: 2.27-19.4, top vs. bottom tertile; IGFBP-3: OR = 7.07, 95% CI: 2.32-21.6), even after excluding the first year of follow-up. CONCLUSION: High concentrations of IGF-I might be positively associated with risk of low-grade gliomas and acoustic neuromas, although we cannot exclude reverse causation, in particular for low-grade gliomas. Impact: Factors of the IGF axis might be involved in the etiology of some types of brain tumors. Cancer Epidemiol Biomarkers Prev; ©2011 AACR.
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