107 research outputs found
Unlocking values through infrastructure interdependencies
Urban infrastructure is a complex interdependent system of system. It provides a framework that connect and integrate social, cultural, financial, natural, technological and human values. This paper contributes to the development of new approaches towards urban infrastructure governance, identified as one of the key issues in the field of sustainable urban infrastructure. To do that, we explore cross-sectoral urban infrastructure projects, in which infrastructures supplying different urban functions are connected. This focus on a local level of cross-domain connection allows us to understand the challenges of such connections on a project-level, giving us practical insights into management and governance challenges. We analyse four local projects of cross-sector connections of infrastructures, aiming to understand the collaborative dynamics of governing such projects towards successful outcomes, in terms of overcoming the barriers towards such projects while creating value. Given the high expectations of increased value of integrated urban infrastructures compared to traditional, siloed infrastructure development and management, the insights from local, project-level experiences, in addition to holistic perspectives, can be informative for investment strategy development by private and public stakeholders
The Genetic Background of the Curly Tail Strain Confers Susceptibility to Folate-Deficiency-Induced Exencephaly
BACKGROUND: Suboptimal maternal folate status is considered a risk factor for neural tube defects (NTDs). However, the relationship between dietary folate status and risk of NTDs appears complex, as experimentally induced folate deficiency is insufficient to cause NTDs in nonmutant mice. In contrast, folate deficiency can exacerbate the effect of an NTD-causing mutation, as in splotch mice. The purpose of the present study was to determine whether folate deficiency can induce NTDs in mice with a permissive genetic background which do not normally exhibit defects. METHODS: Folate deficiency was induced in curly tail and genetically matched wild-type mice, and we analyzed the effect on maternal folate status, embryonic growth and development, and frequency of NTDs. RESULTS: Folate-deficient diets resulted in reduced maternal blood folate, elevated homocysteine, and a diminished embryonic folate content. Folate deficiency had a deleterious effect on reproductive success, resulting in smaller litter sizes and an increased rate of resorption. Notably, folate deficiency caused a similar-sized, statistically significant increase in the frequency of cranial NTDs among both curly tail (Grhl3 mutant) embryos and background-matched embryos that are wild type for Grhl3. The latter do not exhibit NTDs under normal dietary conditions. Maternal supplementation with myo-inositol reduced the incidence of NTDs in the folate-deficient wild-type strain. CONCLUSIONS: Dietary folate deficiency can induce cranial NTDs in nonmutant mice with a permissive genetic background, a situation that likely parallels gene-nutrient interactions in human NTDs. Our findings suggest that inositol supplementation may ameliorate NTDs resulting from insufficient dietary folate. Birth Defects Research (Part A), 2010. © 2009 Wiley-Liss, Inc
Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data
Abstract: Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply them to classify healthy and diseased people according to their genomic information. The Immunochip dataset containing 18,227 CD patients and 34,050 healthy controls enrolled and genotyped by the international Inflammatory Bowel Disease genetic consortium (IIBDGC) has been re-analyzed using a set of ML methods: penalized logistic regression (LR), gradient boosted trees (GBT) and artificial neural networks (NN). The main score used to compare the methods was the Area Under the ROC Curve (AUC) statistics. The impact of quality control (QC), imputing and coding methods on LR results showed that QC methods and imputation of missing genotypes may artificially increase the scores. At the opposite, neither the patient/control ratio nor marker preselection or coding strategies significantly affected the results. LR methods, including Lasso, Ridge and ElasticNet provided similar results with a maximum AUC of 0.80. GBT methods like XGBoost, LightGBM and CatBoost, together with dense NN with one or more hidden layers, provided similar AUC values, suggesting limited epistatic effects in the genetic architecture of the trait. ML methods detected near all the genetic variants previously identified by GWAS among the best predictors plus additional predictors with lower effects. The robustness and complementarity of the different methods are also studied. Compared to LR, non-linear models such as GBT or NN may provide robust complementary approaches to identify and classify genetic markers
Decision Aid to Technologically Enhance Shared decision making (DATES): study protocol for a randomized controlled trial
GWAS meta-analysis of intrahepatic cholestasis of pregnancy implicates multiple hepatic genes and regulatory elements
Intrahepatic cholestasis of pregnancy (ICP) is a pregnancy-specific liver disorder affecting 0.5–2% of pregnancies. The majority of cases present in the third trimester with pruritus, elevated serum bile acids and abnormal serum liver tests. ICP is associated with an increased risk of adverse outcomes, including spontaneous preterm birth and stillbirth. Whilst rare mutations affecting hepatobiliary transporters contribute to the aetiology of ICP, the role of common genetic variation in ICP has not been systematically characterised to date. Here, we perform genome-wide association studies (GWAS) and meta-analyses for ICP across three studies including 1138 cases and 153,642 controls. Eleven loci achieve genome-wide significance and have been further investigated and fine-mapped using functional genomics approaches. Our results pinpoint common sequence variation in liver-enriched genes and liver-specific cis-regulatory elements as contributing mechanisms to ICP susceptibility
Genetic determinants of risk in pulmonary arterial hypertension: international genome-wide association studies and meta-analysis
Background Rare genetic variants cause pulmonary arterial hypertension, but the contribution of common genetic
variation to disease risk and natural history is poorly characterised. We tested for genome-wide association for pulmonary
arterial hypertension in large international cohorts and assessed the contribution of associated regions to outcomes.
Methods We did two separate genome-wide association studies (GWAS) and a meta-analysis of pulmonary arterial
hypertension. These GWAS used data from four international case-control studies across 11744 individuals with
European ancestry (including 2085 patients). One GWAS used genotypes from 5895 whole-genome sequences and
the other GWAS used genotyping array data from an additional 5849 individuals. Cross-validation of loci reaching
genome-wide significance was sought by meta-analysis. Conditional analysis corrected for the most significant variants
at each locus was used to resolve signals for multiple associations. We functionally annotated associated variants and
tested associations with duration of survival. All-cause mortality was the primary endpoint in survival analyses.
Findings A locus near SOX17 (rs10103692, odds ratio 1·80 [95% CI 1·55–2·08], p=5·13×10–
¹⁵) and a second locus in
HLA-DPA1 and HLA-DPB1 (collectively referred to as HLA-DPA1/DPB1 here; rs2856830, 1·56 [1·42–1·71],
p=7·65×10–
²⁰) within the class II MHC region were associated with pulmonary arterial hypertension. The SOX17 locus
had two independent signals associated with pulmonary arterial hypertension (rs13266183, 1·36 [1·25–1·48],
p=1·69×10–
¹²; and rs10103692). Functional and epigenomic data indicate that the risk variants near SOX17 alter gene
regulation via an enhancer active in endothelial cells. Pulmonary arterial hypertension risk variants determined
haplotype-specific enhancer activity, and CRISPR-mediated inhibition of the enhancer reduced SOX17 expression. The
HLA-DPA1/DPB1 rs2856830 genotype was strongly associated with survival. Median survival from diagnosis in
patients with pulmonary arterial hypertension with the C/C homozygous genotype was double (13·50 years [95% CI
12·07 to >13·50]) that of those with the T/T genotype (6·97 years [6·02–8·05]), despite similar baseline disease severity.
Interpretation This is the first study to report that common genetic variation at loci in an enhancer near SOX17 and in
HLA-DPA1/DPB1 is associated with pulmonary arterial hypertension. Impairment of SOX17 function might be more
common in pulmonary arterial hypertension than suggested by rare mutations in SOX17. Further studies are needed
to confirm the association between HLA typing or rs2856830 genotyping and survival, and to determine whether HLA
typing or rs2856830 genotyping improves risk stratification in clinical practice or trials.
Funding UK NIHR, BHF, UK MRC, Dinosaur Trust, NIH/NHLBI, ERS, EMBO, Wellcome Trust, EU, AHA,
ACClinPharm, Netherlands CVRI, Dutch Heart Foundation, Dutch Federation of UMC, Netherlands OHRD and
RNAS, German DFG, German BMBF, APH Paris, INSERM, Université Paris-Sud, and French ANR
A Comparison of Hypofractionated and Twice-Daily Thoracic Irradiation in Limited-Stage Small-Cell Lung Cancer: An Overlap-Weighted Analysis
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