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Sökning: WFRF:(Hallmans Göran) > Naturvetenskap

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1.
  • Shang, Shulian, et al. (författare)
  • Partially linear single index Cox regression model in nested case-control studies
  • 2013
  • Ingår i: Computational Statistics & Data Analysis. - : Elsevier BV. - 0167-9473 .- 1872-7352. ; 67, s. 199-212
  • Tidskriftsartikel (refereegranskat)abstract
    • The nested case-control (NCC) design is widely used in epidemiologic studies as a cost-effective subcohort sampling method to study the association between a disease and its potential risk factors. NCC data are commonly analyzed using Thomas' partial likelihood approach under the Cox proportional hazards model assumption. However, the linear modeling form in the Cox model may be insufficient for practical applications, especially when there are a large number of risk factors under investigation. In this paper, we consider a partially linear single index proportional hazards model, which includes a linear component for covariates of interest to yield easily interpretable results and a nonparametric single index component to adjust for multiple confounders effectively. We propose to approximate the nonparametric single index function by polynomial splines and estimate the parameters of interest using an iterative algorithm based on the partial likelihood. Asymptotic properties of the resulting estimators are established. The proposed methods are evaluated using simulations and applied to an NCC study of ovarian cancer. 
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2.
  • Liu, Mengling, et al. (författare)
  • Estimation and selection of complex covariate effects in pooled nested case-control studies with heterogeneity
  • 2013
  • Ingår i: Biostatistics. - : Oxford University Press. - 1465-4644 .- 1468-4357. ; 14:4, s. 682-694
  • Tidskriftsartikel (refereegranskat)abstract
    • A major challenge in cancer epidemiologic studies, especially those of rare cancers, is observing enough cases. To address this, researchers often join forces by bringing multiple studies together to achieve large sample sizes, allowing for increased power in hypothesis testing, and improved efficiency in effect estimation. Combining studies, however, renders the analysis difficult owing to the presence of heterogeneity in the pooled data. In this article, motivated by a collaborative nested case-control (NCC) study of ovarian cancer in three cohorts from United States, Sweden, and Italy, we investigate the use of penalty regularized partial likelihood estimation in the context of pooled NCC studies to achieve two goals. First, we propose an adaptive group lasso (gLASSO) penalized approach to simultaneously identify important variables and estimate their effects. Second, we propose a composite agLASSO penalized approach to identify variables with heterogeneous effects. Both methods are readily implemented with the group coordinate gradient decent algorithm and shown to enjoy the oracle property. We conduct simulation studies to evaluate the performance of our proposed approaches in finite samples under various heterogeneity settings, and apply them to the pooled ovarian cancer study.
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3.
  • Berggrund, Malin, et al. (författare)
  • Identification of candidate plasma protein biomarkers for cervical cancer using the multiplex proximity extension assay
  • 2019
  • Ingår i: Molecular & Cellular Proteomics. - 1535-9476 .- 1535-9484. ; 18:4, s. 735-743
  • Tidskriftsartikel (refereegranskat)abstract
    • Human papillomavirus (HPV) is recommended as the primary test in cervical cancer screening, with co-testing by cytology for HPV-positive women to identify cervical lesions. Cytology has low sensitivity and there is a need to identify biomarkers that could identify dysplasia that are likely to progress to cancer. We searched for plasma proteins that could identify women with cervical cancer using the multiplex proximity extension assay (PEA). The abundance of 100 proteins were measured in plasma collected at the time of diagnosis of patients with invasive cervical cancer and in population controls using the Olink Multiplex panels CVD II, INF I, and ONC II. Eighty proteins showed increased levels in cases compared to controls. We identified a signature of 11 proteins (PTX3, ITGB1BP2, AXIN1, STAMPB, SRC, SIRT2, 4E-BP1, PAPPA, HB-EGF, NEMO and IL27) that distinguished cases and controls with a sensitivity of 0.96 at a specificity of 1.0. This signature was evaluated in a prospective replication cohort with samples collected before, at or after diagnosis and achieved a sensitivity of 0.78 and a specificity 0.56 separating samples collected at the time of diagnosis of invasive cancer from samples collected prior to diagnosis. No difference in abundance was seen between samples collected prior to diagnosis or after treatment as compared to population controls, indicating that this protein signature is mainly informative close to time of diagnosis. Further studies are needed to determine the optimal window in time prior to diagnosis for these biomarker candidates.
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5.
  • Kilpeläinen, Tuomas O, et al. (författare)
  • Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels
  • 2016
  • Ingår i: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 7
  • Tidskriftsartikel (refereegranskat)abstract
    • Leptin is an adipocyte-secreted hormone, the circulating levels of which correlate closely with overall adiposity. Although rare mutations in the leptin (LEP) gene are well known to cause leptin deficiency and severe obesity, no common loci regulating circulating leptin levels have been uncovered. Therefore, we performed a genome-wide association study (GWAS) of circulating leptin levels from 32,161 individuals and followed up loci reaching P<10(-6) in 19,979 additional individuals. We identify five loci robustly associated (P<5 × 10(-8)) with leptin levels in/near LEP, SLC32A1, GCKR, CCNL1 and FTO. Although the association of the FTO obesity locus with leptin levels is abolished by adjustment for BMI, associations of the four other loci are independent of adiposity. The GCKR locus was found associated with multiple metabolic traits in previous GWAS and the CCNL1 locus with birth weight. Knockdown experiments in mouse adipose tissue explants show convincing evidence for adipogenin, a regulator of adipocyte differentiation, as the novel causal gene in the SLC32A1 locus influencing leptin levels. Our findings provide novel insights into the regulation of leptin production by adipose tissue and open new avenues for examining the influence of variation in leptin levels on adiposity and metabolic health.
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6.
  • Lopatko Lindman, Karin, et al. (författare)
  • PILRA polymorphism modifies the effect of APOE4 and GM17 on Alzheimer’s disease risk
  • 2022
  • Ingår i: Scientific Reports. - : Nature Publishing Group. - 2045-2322. ; 12:1
  • Tidskriftsartikel (refereegranskat)abstract
    • PILRA (rs1859788 A > G) has been suggested to be a protective variant for Alzheimer’s disease (AD) and is an entry co-receptor for herpes simplex virus-1. We conducted a nested case–control study of 360 1:1-matched AD subjects. Interactions between the PILRA-A allele, APOE risk variants (ε3/ε4 or ε4/ε4) and GM17 for AD risk were modelled. The associations were cross-validated using two independent whole-genome sequencing datasets. We found negative interactions between PILRA-A and GM17 (OR 0.72, 95% CI 0.52–1.00) and between PILRA-A and APOE risk variants (OR 0.56, 95% CI 0.32–0.98) in the discovery dataset. In the replication cohort, a joint effect of PILRA and PILRA × GM 17/17 was observed for the risk of developing AD (p.02). Here, we report a negative effect modification by PILRA on APOE and GM17 high-risk variants for future AD risk in two independent datasets. This highlights the complex genetics of AD.
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7.
  • Lundh, Thomas, et al. (författare)
  • Spårelement i blodkroppar från väster- och norrbottningar 1990-99
  • 2002
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • Sexton spårelement bestämdes i blodkroppar från 600 kvinnor och män i åldrarna 25-74 år från Västerbotten och Norrbotten. Med Induktiv kopplad plasma (ICP-MS) bestämdes aluminium (Al), vanadin (V), mangan (Mn), kobolt (Co), nickel (Ni), koppar (CU), zink (Zn), selen (Se), rodium (Rh), palladium (Pd), kadmium (Cd), antimon (Sb), wolfram (W), platina (Pt) och bly (Pb). Dessutom bestämdes med atomfluorescens kvicksilver (Hg). Cd-koncentrationerna är av en nivå som kopplats samman med lätt toxicitet. Medianhalterna av Pb och Hg ligger långt under de som satts i samband med toxiska effekter. Variationen var emellertid hög; de högsta halterna är i nivå med dem som anses kunna orsaka ogynnsamma effekter. I en multivariat modell utvärderades effekter av kön, ålder, rökvanor och kalenderår. Framför allt för Cd, men i viss mån också för Hg, hade rökare högre halter än icke-rökare. Kvinnor hade högre halter av Cd och Pb än män. Det fanns klart stigande halter av Cd och Hg med stigande ålder. Vid jämförelse mellan prover tagna 1990, 1994 och 1999 hade en markant sänkning skett av Pb (ca 6% per år), Hg (ca 6% per år) och Cd, men i det fallet bara för män (6% per år), inte för kvinnor. Detta beror sannolikt på minskade utsläpp av dessa metaller, med sjunkande exponering som följd. För Pb och Cd bör sänkningen i exponering ha varit högre än 6% per år, eftersom tidigare ådragen kroppsbörda har en tendens att fördröja en sänkning i blodkroppar. Det finns skäl att även fortsättningsvis följa utvecklingen av metallhalter i blod. För halterna av Al, V, Mn, Co, Ni, Cu, Zn, Se, Rh, Pd, Sb, W och Pt i prover tagna 1999 finns mindre möjligheter att jämföra med andra studier. De funna halterna är emellertid i paritet med det fåtal andra undersökningar som finns. Det fanns en rad associationer mellan halter av olika element. Av särskilt intresse är korrelationerna mellan Pt, Pd and Rh, vilka har spritts i miljön genom användning av katalytiska avgasrenare i bilar. Detta fynd förtjänar vidare undersökningar. Se och Hg var också relaterade, troligen p g a gemensam källa i form av fisk, möjligen också gemensamma bindningar i kroppen.
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8.
  • Oei, Ling, et al. (författare)
  • A genome-wide copy number association study of osteoporotic fractures points to the 6p25.1 locus
  • 2014
  • Ingår i: Journal of Medical Genetics. - : BMJ Publishing Group. - 0022-2593 .- 1468-6244. ; 51:2, s. 122-131
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Osteoporosis is a systemic skeletal disease characterised by reduced bone mineral density and increased susceptibility to fracture; these traits are highly heritable. Both common and rare copy number variants (CNVs) potentially affect the function of genes and may influence disease risk.AIM: To identify CNVs associated with osteoporotic bone fracture risk.METHOD: We performed a genome-wide CNV association study in 5178 individuals from a prospective cohort in the Netherlands, including 809 osteoporotic fracture cases, and performed in silico lookups and de novo genotyping to replicate in several independent studies.RESULTS: A rare (population prevalence 0.14%, 95% CI 0.03% to 0.24%) 210 kb deletion located on chromosome 6p25.1 was associated with the risk of fracture (OR 32.58, 95% CI 3.95 to 1488.89; p=8.69×10(-5)). We performed an in silico meta-analysis in four studies with CNV microarray data and the association with fracture risk was replicated (OR 3.11, 95% CI 1.01 to 8.22; p=0.02). The prevalence of this deletion showed geographic diversity, being absent in additional samples from Australia, Canada, Poland, Iceland, Denmark, and Sweden, but present in the Netherlands (0.34%), Spain (0.33%), USA (0.23%), England (0.15%), Scotland (0.10%), and Ireland (0.06%), with insufficient evidence for association with fracture risk.CONCLUSIONS: These results suggest that deletions in the 6p25.1 locus may predispose to higher risk of fracture in a subset of populations of European origin; larger and geographically restricted studies will be needed to confirm this regional association. This is a first step towards the evaluation of the role of rare CNVs in osteoporosis.
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9.
  • Scott, Robert A., et al. (författare)
  • Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways
  • 2012
  • Ingår i: Nature Genetics. - : Springer Science and Business Media LLC. - 1061-4036 .- 1546-1718. ; 44:9, s. 991-1005
  • Tidskriftsartikel (refereegranskat)abstract
    • Through genome-wide association meta-analyses of up to 133,010 individuals of European ancestry without diabetes, including individuals newly genotyped using the Metabochip, we have increased the number of confirmed loci influencing glycemic traits to 53, of which 33 also increase type 2 diabetes risk (q < 0.05). Loci influencing fasting insulin concentration showed association with lipid levels and fat distribution, suggesting impact on insulin resistance. Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations. This conclusion is supported by an excess of directionally consistent and nominally significant signals between discovery and follow-up studies. Functional analysis of these newly discovered loci will further improve our understanding of glycemic control.
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10.
  • Shungin, Dmitry, et al. (författare)
  • Ranking and characterization of established BMI and lipid associated loci as candidates for gene-environment interactions
  • 2017
  • Ingår i: PLOS Genetics. - : Public Library Science. - 1553-7390 .- 1553-7404. ; 13:6
  • Tidskriftsartikel (refereegranskat)abstract
    • Phenotypic variance heterogeneity across genotypes at a single nucleotide polymorphism (SNP) may reflect underlying gene-environment (GxE) or gene-gene interactions. We modeled variance heterogeneity for blood lipids and BMI in up to 44,211 participants and investigated relationships between variance effects (P-v), GxE interaction effects (with smoking and physical activity), and marginal genetic effects (P-m). Correlations between P-v and P-m were stronger for SNPs with established marginal effects (Spearman's rho = 0.401 for triglycerides, and rho = 0.236 for BMI) compared to all SNPs. When P-v and P-m were compared for all pruned SNPs, only BMI was statistically significant (Spearman's rho = 0.010). Overall, SNPs with established marginal effects were overrepresented in the nominally significant part of the P-v distribution (P-binomial < 0.05). SNPs from the top 1% of the P-m distribution for BMI had more significant P-v values (Pmann-Whitney = 1.46x10(-5)), and the odds ratio of SNPs with nominally significant (< 0.05) P-m and P-v was 1.33 (95% CI: 1.12, 1.57) for BMI. Moreover, BMI SNPs with nominally significant GxE interaction P-values (Pint < 0.05) were enriched with nominally significant P-v values (P-binomial = 8.63x10(-9) and 8.52x10(-7) for SNP x smoking and SNP x physical activity, respectively). We conclude that some loci with strong marginal effects may be good candidates for GxE, and variance-based prioritization can be used to identify them.
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