The JUNO experiment locates in Jinji town, Kaiping city, Jiangmen city, Guangdong province. The geographic location is east longitude 112 • 31'05' and North latitude 22 • 07'05'. The experimental site is 43 km to the southwest of the Kaiping city, a county-level city in the prefecture-level city Jiangmen in Guangdong province. There are five big cities, Guangzhou, Hong Kong, Macau, Shenzhen, and Zhuhai, all in ∼200 km drive distance, as shown in figure 3.

We consider a semiparametric regression model that relates a normal outcome to covariates and a genetic pathway, where the covariate effects are modeled parametrically and the pathway effect of multiple gene expressions is modeled parametrically or nonparametrically using least-squares kernel machines (LSKMs). This unified framework allows a flexible function for the joint effect of multiple genes within a pathway by specifying a kernel function and allows for the possibility that each gene expression effect might be nonlinear and the genes within the same pathway are likely to interact with each other in a complicated way. This semiparametric model also makes it possible to test for the overall genetic pathway effect. We show that the LSKM semiparametric regression can be formulated using a linear mixed model. Estimation and inference hence can proceed within the linear mixed model framework using standard mixed model software. Both the regression coefficients of the covariate effects and the LSKM estimator of the genetic pathway effect can be obtained using the best linear unbiased predictor in the corresponding linear mixed model formulation. The smoothing parameter and the kernel parameter can be estimated as variance components using restricted maximum likelihood. A score test is developed to test for the genetic pathway effect. Model/variable selection within the LSKM framework is discussed. The methods are illustrated using a prostate cancer data set and evaluated using simulations.

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The cell surface receptor, low-density lipoprotein receptorrelated protein 5 (LRP5) is a key regulator of bone mass. Lossof-function mutations in LRP5 cause the human skeletal disease osteoporosis-pseudoglioma syndrome, an autosomal recessive disorder characterized by severely reduced bone mass and strength. We investigated the role of LRP5 on bone strength using mice engineered with a loss-of-function mutation in the gene. We then tested whether the osteogenic response to mechanical loading was affected by the loss of Lrp5 signaling. In addition to studies in humans, mice have been created with loss-of-function mutations in the mouse ortholog of LRP5, called Lrp5 (9 -11). These mice recapitulate the clinical features observed in OPPG patients, suggesting that the mouse is a useful animal model for delineating the role of Lrp5 in the mammalian skeleton (9 -11). Additionally, transgenic mice that overexpress wild-type Lrp5 or a high bone mass causing missense allele of LRP5 (G171V) under control of the type I collagen promoter, have increased bone mass and skeletal strength (12). Taken together, these data indicate that LRP5 has an important role in determining skeletal mass, strength, and function. Lrp5-null (Lrp5Although loss-of-function mutations in LRP5 impart clear deficiencies on the skeleton, it is unclear how LRP5 participates in the modulation of bone mass. The striking similarity between * This work was supported by National Institutes of Health Grants AR046530 (to C. H. T.) and AR053237 (to A. G. R.). The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Association mapping of complex traits typically employs tagSNP genotype data to identify a trait locus within a region of interest. However, considerable debate exists regarding the most powerful strategy for utilizing such tagSNP data for inference. A popular approach tests each tagSNP within the region individually, but such tests could lose power as a result of incomplete linkage disequilibrium between the genotyped tagSNP and the trait locus. Alternatively, one can jointly test all tagSNPs simultaneously within the region (by using genotypes or haplotypes), but such multivariate tests have large degrees of freedom that can also compromise power. Here, we consider a semiparametric model for quantitative-trait mapping that uses genetic information from multiple tagSNPs simultaneously in analysis but produces a test statistic with reduced degrees of freedom compared to existing multivariate approaches. We fit this model by using a dimension-reducing technique called least-squares kernel machines, which we show is identical to analysis using a specific linear mixed model (which we can fit by using standard software packages like SAS and R). Using simulated SNP data based on real data from the International HapMap Project, we demonstrate that our approach often has superior performance for association mapping of quantitative traits compared to the popular approach of single-tagSNP testing. Our approach is also flexible, because it allows easy modeling of covariates and, if interest exists, high-dimensional interactions among tagSNPs and environmental predictors.

Thermoelectric materials have potential applications in energy harvesting and electronic cooling devices, and bismuth antimony telluride (BiSbTe) alloys are the state-of-the-art thermoelectric materials that have been widely used for several decades. It is demonstrated that mixing SiC nanoparticles into the BiSbTe matrix effectively enhances its thermoelectric properties; a high dimensionless fi gure of merit ( ZT ) value of up to 1.33 at 373 K is obtained in Bi 0.3 Sb 1.7 Te 3 incorporated with only 0.4 vol% SiC nanoparticles. SiC nanoinclusions possessing coherent interfaces with the Bi 0.3 Sb 1.7 Te 3 matrix can increase the Seebeck coeffi cient while increasing the electrical conductivity, in addition to its effect of reducing lattice thermal conductivity by enhancing phonon scattering. Nano-SiC dispersion further endows the BiSbTe alloys with better mechanical properties, which are favorable for practical applications and device fabrication.

Recent studies from our laboratory involving syncytial preparations have delineated electrophysiological distinctions between epicardium, endocardium, and a unique population of cells in the deep subepicardial to midmyocardial layers (M region) of the canine ventricle. In the present study, we used standard microelectrode, single microelectrode switch voltage-clamp, and whole-cell patch-clamp techniques to examine transmembrane action potentials, steady-state current-voltage relations, and the 4-aminopyridine-sensitive transient outward current (Ito1) in myocytes enzymatically dissociated from discrete layers of the free wall of the canine left ventricle. Action potential characteristics of myocytes isolated from the epicardium, M region, and endocardium were very similar to those previously observed in syncytial preparations isolated from the respective regions of the ventricular wall. A prominent spike and dome was apparent in myocytes from epicardium and the M region but not in myocytes from endocardium. Action potential duration-rate relations were considerably more pronounced in cells isolated from the M region. Current-voltage relations recorded from cells of epicardial, M region, and endocardial origin all displayed an N-shaped configuration with a prominent negative slope-conductance region. The magnitude of the inward rectifier K+ current (IK1) was 392 +/- 86, 289 +/- 65, and 348 +/- 115 pA in epicardial, M region, and endocardial myocytes, respectively, when defined as steady-state current blocked by 10 mM Cs+. Similar levels were obtained when IK1 was defined as the steady-state difference current measured in the presence (6 mM) and absence of extracellular K+. Ito1 was significantly greater in epicardial and M region myocytes than in endocardial myocytes. At a test potential of +70 mV (holding potential, -80 mV), Ito1 amplitude was 4,203 +/- 2,370, 3,638 +/- 1,135, and 714 +/- 286 pA in epicardial, M region, and endocardial cells, respectively. No significant differences were observed in the voltage dependence of inactivation of Ito1 in the three cell types. The time course of reactivation of Ito1 was slower in cells from the M region compared with either epicardial or endocardial cells. Our data suggest that prominent heterogeneity exists in the electrophysiology of cells spanning the canine ventricular wall and that differences in the intensity of the transient outward current contribute importantly, but not exclusively, to this heterogeneity. These findings should advance our understanding of basic heart function and the ionic bases for the electrocardiographic J wave, T wave, U wave, and long QT intervals as well as improve our understanding of some of the complex factors contributing to the development of cardiac arrhythmias.

SUMMARY Mesenchymal stem cell transplantation (MSCT) has been used to treat human diseases, but the detailed mechanisms underlying its success are not fully understood. Here we show that MSCT rescues bone marrow MSC (BMMSC) function and ameliorates osteopenia in Fas-deficient-MRL/lpr mice. Mechanistically, we show that Fas deficiency causes failure of miR-29b release, thereby elevating intracellular miR-29b levels, and downregulates DNA methyltransferase 1 (Dnmt1) expression in MRL/lpr BMMSCs. This results in hypomethylation of the Notch1 promoter and activation of Notch signaling, in turn leading to impaired osteogenic differentiation. Furthermore, we show that exosomes, secreted due to MSCT, transfer Fas to recipient MRL/lpr BMMSCs to reduce intracellular levels of miR-29b, which results in recovery of Dnmt1-mediated Notch1 promoter hypomethylation and thereby improves MRL/lpr BMMSC function. Collectively our findings unravel the means by which MSCT rescues MRL/lpr BMMSC function through reuse of donor exosome-provided Fas to regulate the miR-29b/Dnmt1/Notch epigenetic cascade.