925 research outputs found
Genotype imputation using the Positional Burrows Wheeler Transform.
Genotype imputation is the process of predicting unobserved genotypes in a sample of individuals using a reference panel of haplotypes. In the last 10 years reference panels have increased in size by more than 100 fold. Increasing reference panel size improves accuracy of markers with low minor allele frequencies but poses ever increasing computational challenges for imputation methods. Here we present IMPUTE5, a genotype imputation method that can scale to reference panels with millions of samples. This method continues to refine the observation made in the IMPUTE2 method, that accuracy is optimized via use of a custom subset of haplotypes when imputing each individual. It achieves fast, accurate, and memory-efficient imputation by selecting haplotypes using the Positional Burrows Wheeler Transform (PBWT). By using the PBWT data structure at genotyped markers, IMPUTE5 identifies locally best matching haplotypes and long identical by state segments. The method then uses the selected haplotypes as conditioning states within the IMPUTE model. Using the HRC reference panel, which has ∼65,000 haplotypes, we show that IMPUTE5 is up to 30x faster than MINIMAC4 and up to 3x faster than BEAGLE5.1, and uses less memory than both these methods. Using simulated reference panels we show that IMPUTE5 scales sub-linearly with reference panel size. For example, keeping the number of imputed markers constant, increasing the reference panel size from 10,000 to 1 million haplotypes requires less than twice the computation time. As the reference panel increases in size IMPUTE5 is able to utilize a smaller number of reference haplotypes, thus reducing computational cost
Simple Parametric Model for Calculation of Lateral Electromagnetic Loads in Tokamaks at Asymmetric Vertical Displacement Events (AVDE)
The molecular basis, genetic control and pleiotropic effects of local gene co-expression.
Nearby genes are often expressed as a group. Yet, the prevalence, molecular mechanisms and genetic control of local gene co-expression are far from being understood. Here, by leveraging gene expression measurements across 49 human tissues and hundreds of individuals, we find that local gene co-expression occurs in 13% to 53% of genes per tissue. By integrating various molecular assays (e.g. ChIP-seq and Hi-C), we estimate the ability of several mechanisms, such as enhancer-gene interactions, in distinguishing gene pairs that are co-expressed from those that are not. Notably, we identify 32,636 expression quantitative trait loci (eQTLs) which associate with co-expressed gene pairs and often overlap enhancer regions. Due to affecting several genes, these eQTLs are more often associated with multiple human traits than other eQTLs. Our study paves the way to comprehend trait pleiotropy and functional interpretation of QTL and GWAS findings. All local gene co-expression identified here is available through a public database ( https://glcoex.unil.ch/ )
A Fast Matrix Compression Method for Large Scale Numerical Modelling of Rotationally Symmetric 3D Passive Structures in Fusion Devices
High plasma levels of parathyroid hormone (PTH) are associated with an increased cardiovascular risk among HIV-infected subjects
Glucagon-like peptide-1 receptor and sarcoglycan delta genetic variants can affect cardiovascular risk in chronic kidney disease patients under hemodialysis
Background
Chronic kidney disease (CKD) patients under hemodialysis show a higher risk of cardiovascular (CV) mortality and morbidity than the general population. This study aims to identify genetic markers that could explain the increased CV risk in hemodialysis.
Methods
A total of 245 CKD patients under hemodialysis were recruited and followed up for 5\u2009years to record CV events. Genetic analysis was performed using single-nucleotide polymorphisms (SNPs) genotyping by Infinium Expanded Multi-Ethnic Genotyping Array (Illumina, San Diego, CA, USA) comparing patients with and without a history of CV events [161 cardiovascular diseases (CVDs) and 84 no CVDs]. The fixation index (Fst) measure was used to identify the most differentiated SNPs, and gene ontology analysis [Protein Analysis THrough Evolutionary Relationships (PANTHER) and Ingenuity Pathway Analysis (IPA)] was applied to define the biological/pathological roles of the associated SNPs. Partitioning tree analysis interrogated the genotype\u2013phenotype relationship between discovered genetic variants and CV phenotypes. Cox regression analysis measured the effect of these SNPs on new CV events during the follow-up (FU).
Results
Fst analysis identified 3218 SNPs that were significantly different between CVD and no CVD. Gene ontology analysis identified two of these SNPs as involved in cardiovascular disease pathways (Ingenuity Pathway) and heart development (Panther) and belonging to 2 different genes: Glucagon-like peptide-1 receptor (GLP1R) and Sarcoglycan delta (SGCD). The phenotype\u2013genotype analysis found a higher percentage of CVD patients carrying the GLP1R rs10305445 allele A (P\u2009=\u20090.03) and lower percentages of CVD patients carrying the SGCD rs145292439 allele A (P\u2009=\u20090.038). Moreover, SGCD rs145292439 was associated with higher levels of high-density lipoprotein (P\u2009=\u20090.015). Cox analysis confirmed the increased frequency of CV events during the 5-year FU in patients carrying GLP1R rs1035445 allele A but it did not show any significant association with SGCD rs145292439.
Conclusions
This study identified GLP1R rs10305445 and SCGD rs145292439 as potential genetic markers that may explain the higher risk of CVD in hemodialysis patients
The influence of caseinphosphopeptides on intracellular calcium changes in primary human osteoblasts : a nutrient dependent modulation of bone cell metabolism
Caseinphosphopeptides (CPPs) are a family of peptides originating from in vivo and in vitro hydrolysis of casein. They possess a sequence of three phosphorylated serines followed by two glutamic acids, the acidic motif, able to bind minerals such as calcium. These nutritional compounds display the ability to increase calcium solubility in the digestive tract. Thus, CPPs were hypothesized to increase the calcium absorption and retention in vivo, with potential effects on bone mineralization. Notwithstanding, there are controversial reports on CPP action. The methodological approach used by different laboratories to study calcium absorption and bone mineralization resulted unable to out light whether the peptides have a specific effect on bone metabolism besides the enhancement of calcium availability. We have therefore designed the following study to evaluate a possible direct role of CPPs in bone cell metabolism. Primary human osteoblasts were established in culture using trabecular bone samples obtained from waste materials during orthopedic surgery of patients without metabolic or malignant bone disease. Cytosolic calcium changes were measured by video-microscopy using the fura-2 method on single cells. A mixture of CPPs of commercial origin as well as pure synthetic CPPs were used. The administration of CPPs to human osteoblasts caused an immediate but transient intracellular calcium change in a dose dependent manner. This CPP-induced effect, analogous to that reported for human intestinal cells, is not cytotoxic and is triggered by an influx of the extracellular ions through the cell plasma membrane. The osteoblast pre-treatment with the active form of vitamin D, known to differentiate human osteoblast, does not affect the cell responsiveness to CPP administration. The 24 hours cell incubation with CPPs induced the increase of the activity of alkaline phosphatase, a marker of osteoblast differentiation, reaching a level similar to that produced by vitamin D. The same CPP treatment caused a small but significative reduction in cell rate proliferation and a slight increase in apoptosis activity. Taken together these results indicate that CPPs are endowed of a bone specific effect which underlying mechanism requires further evaluation. CPPs may act not only as a mere carrier for improving calcium absorption and utilization, but also as a trophyc compound for bone health by enhancing osteoblast differentiation and activity
Strontium absorption and excretion in normocalciuric subjects : relation to calcium metabolism
The relationships of Sr intestinal absorption and renal excretion with biohumoral factors regulating Ca metabolism were studied in 47 normocalciuric subjects with Ca kidney stones. Sr concentrations were measured in serum and urine after an oral load of stable Sr (30.2 mumol/kg body wt). Enteral absorption of the ion (9.77 +/- 0.438 mmol.L-1.min, 240 min after Sr administration), expressed as the area under the plasma concentration-time curve (AUC), and renal clearance (CRE) in these subjects during the test (2.80 +/- 0.336 mL/min) were not different from values for 27 controls. CRE was not correlated with AUCs. Plasma concentrations of parathyroid hormone (PTH) negatively correlated with AUCs (P < 0.01) and correlated with CRE after one outlier was excluded (P < 0.05). Plasma concentrations of 1,25-dihydroxyvitamin D correlated positively with AUCs (P < 0.01) when normalized to the plasma concentration of PTH. Multiple stepwise regression showed that PTH and phosphatemia were significantly related to AUC values at 240 min (P < 0.01). These findings suggest that Sr absorption and excretion reflect the regulation of Ca metabolism, but some differences in renal handling of the two ions may exist
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