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- Craddock, Nick, et al.
(författare)
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Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls
- 2010
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Ingår i: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 464:7289, s. 713-720
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Tidskriftsartikel (refereegranskat)abstract
- Copy number variants (CNVs) account for a major proportion of human genetic polymorphism and have been predicted to have an important role in genetic susceptibility to common disease. To address this we undertook a large, direct genome-wide study of association between CNVs and eight common human diseases. Using a purpose-designed array we typed,19,000 individuals into distinct copy-number classes at 3,432 polymorphic CNVs, including an estimated similar to 50% of all common CNVs larger than 500 base pairs. We identified several biological artefacts that lead to false-positive associations, including systematic CNV differences between DNAs derived from blood and cell lines. Association testing and follow-up replication analyses confirmed three loci where CNVs were associated with disease-IRGM for Crohn's disease, HLA for Crohn's disease, rheumatoid arthritis and type 1 diabetes, and TSPAN8 for type 2 diabetes-although in each case the locus had previously been identified in single nucleotide polymorphism (SNP)-based studies, reflecting our observation that most common CNVs that are well-typed on our array are well tagged by SNPs and so have been indirectly explored through SNP studies. We conclude that common CNVs that can be typed on existing platforms are unlikely to contribute greatly to the genetic basis of common human diseases.
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- Arneth, Almut, et al.
(författare)
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From biota to chemistry and climate: towards a comprehensive description of trace gas exchange between the biosphere and atmosphere
- 2010
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Ingår i: Biogeosciences. - 1726-4189. ; 7:1, s. 121-149
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Forskningsöversikt (refereegranskat)abstract
- Exchange of non-CO2 trace gases between the land surface and the atmosphere plays an important role in atmospheric chemistry and climate. Recent studies have highlighted its importance for interpretation of glacial-interglacial ice-core records, the simulation of the pre-industrial and present atmosphere, and the potential for large climate-chemistry and climate-aerosol feedbacks in the coming century. However, spatial and temporal variations in trace gas emissions and the magnitude of future feedbacks are a major source of uncertainty in atmospheric chemistry, air quality and climate science. To reduce such uncertainties Dynamic Global Vegetation Models (DGVMs) are currently being expanded to mechanistically represent processes relevant to non-CO2 trace gas exchange between land biota and the atmosphere. In this paper we present a review of important non-CO2 trace gas emissions, the state-of-the-art in DGVM modelling of processes regulating these emissions, identify key uncertainties for global scale model applications, and discuss a methodology for model integration and evaluation.
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- Franke, Andre, et al.
(författare)
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Genome-wide meta-analysis increases to 71 the number of confirmed Crohn's disease susceptibility loci
- 2010
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Ingår i: Nature Genetics. - : Springer Science and Business Media LLC. - 1061-4036 .- 1546-1718. ; 42:12, s. 1118-1125
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Tidskriftsartikel (refereegranskat)abstract
- We undertook a meta-analysis of six Crohn's disease genome-wide association studies (GWAS) comprising 6,333 affected individuals (cases) and 15,056 controls and followed up the top association signals in 15,694 cases, 14,026 controls and 414 parent-offspring trios. We identified 30 new susceptibility loci meeting genome-wide significance (P < 5 × 10⁻⁸). A series of in silico analyses highlighted particular genes within these loci and, together with manual curation, implicated functionally interesting candidate genes including SMAD3, ERAP2, IL10, IL2RA, TYK2, FUT2, DNMT3A, DENND1B, BACH2 and TAGAP. Combined with previously confirmed loci, these results identify 71 distinct loci with genome-wide significant evidence for association with Crohn's disease.
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- Sinha, Vikash K., et al.
(författare)
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Towards a Better Prediction of Peak Concentration, Volume of Distribution and Half-Life after Oral Drug Administration in Man, Using Allometry
- 2011
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Ingår i: Clinical Pharmacokinetics. - : Springer Science and Business Media LLC. - 0312-5963 .- 1179-1926. ; 50:5, s. 307-318
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Tidskriftsartikel (refereegranskat)abstract
- Background: it is imperative that new drugs demonstrate adequate pharmacokinetic properties, allowing an optimal safety margin and convenient dosing regimens in clinical practice, which then lead to better patient compliance. Such pharmacokinetic properties include suitable peak (maximum) plasma drug concentration (C-max), area under the plasma concentration-time curve (AUC) and a suitable half-life (t(1/4)). The C-max and t(1/2) following oral drug administration are functions of the oral clearance (CL/F) and apparent volume of distribution during the terminal phase by the oral route (V-z/F), each of which may be predicted and combined to estimate C-max and t(1/4). Allometric scaling is a widely used methodology in the pharmaceutical industry to predict human pharmacokinetic parameters such as clearance and volume of distribution. In our previous published work, we have evaluated the use of allometry for prediction of CL/F and AUC. In this paper we describe the evaluation of different allometric scaling approaches for the prediction of C-max, V-z/F and t(1/2) after oral drug administration in man. Methods: Twenty-nine compounds developed at Janssen Research and Development (a division of Janssen Pharmaceutica NV), covering a wide range of physicochemical and pharmacokinetic properties, were selected. The C,, following oral dosing of a compound was predicted using (i) simple allometry alone; (ii) simple allometry along with correction factors such as plasma protein binding (PPB), maximum life-span potential or brain weight (reverse rule of exponents, unbound C-max approach); and (iii) an indirect approach using allometrically predicted CL/F and V-z/F and absorption rate constant (k(a)). The k(a) was estimated from (i) in vivo pharmacokinetic experiments in preclinical species; and (ii) predicted effective permeability in man Weir), using a Caco-2 permeability assay. The V-z/F was predicted using allometric scaling with or without PPB correction. The t(1/2) was estimated from the allometrically predicted parameters CL/F and V-z/F. Predictions were deemed adequate when errors were within a 2-fold range. Results: C-max and t(1/2), could be predicted within a 2-fold error range for 59% and 66% of the tested compounds, respectively, using allometrically predicted CL/F and V-z/F. The best predictions for Cif, were obtained when K-a values were calculated from the Caco-2 permeability assay. The V-z/F was predicted within a 2-fold error range for 72% of compounds when PPB correction was applied as the correction factor for scaling. Conclusions: We conclude that (i) C-max and t(1/2), are best predicted by indirect scaling approaches (using allometrically predicted CL/F and V-z/F and accounting for ka derived from permeability assay); and (ii) the PPB is an important correction factor for the prediction of V-z/F by using allometric scaling. Furthermore, additional work is warranted to understand the mechanisms governing the processes underlying determination of C-max so that the empirical approaches can be fine-tuned further.
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- Tugwell, Peter S., et al.
(författare)
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Domains Selection for Patient-Reported Outcomes: Current Activities and Options for Future Methods
- 2011
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Ingår i: Journal of Rheumatology. - : The Journal of Rheumatology. - 0315-162X .- 1499-2752. ; 38:8, s. 1702-1710
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Tidskriftsartikel (refereegranskat)abstract
- Introduction. Over the years, Outcome Measures in Rheumatology Clinical Trials (OMERACT) has worked toward consensus on core sets for outcome measurement in specific rheumatologic diseases. OMERACT core sets refer to the minimum number of domains and instruments essential to address the desired outcomes in trials. "Domains" are the attributes of an activity or function. This article discusses the need for an open process for selecting domains, existing frameworks for choosing domains, and the importance of describing the methods for selecting domains. Methods. We reviewed the domains selection process of 3 OMERACT groups working on patient-reported outcomes (PRO). We categorized these methods in a hierarchy of comprehensiveness and examined the extent to which they address related issues. Results. There was agreement that a gold standard for domain selection would include 3 important aspects: following a framework, remaining true to the clinical question, and including the clinically relevant outcomes for both benefits and harms. Discussion. OMERACT participants agreed that a guide for the options for developing domains that meet the OMERACT Filter would be useful. More discussion and explanation is needed to outline outcomes related to the patient perspective that are not covered by the current version of the International Classification of Functioning, Disability and Health (ICF) and to explain the usefulness of the population/intervention/comparison/outcome (PICO) structure in domain selection. Future OMERACT work includes addressing these issues and developing a framework based on the ICF to support comprehensive outcome measurements. (J Rheumatol 2011;38:1702-10; doi:10.3899/jrheum.110389)
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