Defining the role of common variation in the genomic and biological architecture of adult human height

Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated approximately 2,000, approximately 3,700 and approximately 9,500 SNPs explained approximately 21%, approximately 24% and approximately 29% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/beta-catenin and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.

Portrait of Ralph and Joan Grahme with Ralph's sister Ilse Schuster nee Gottschalk and her husband James at restaurant "Old Vienna"; London, England.

Left to right: Ralph Grahme, Joan Grahme, Ilse Schuster nee Gottschalk, and James Schuster;

Max James Kohler papers, 1888-1934.

Contains scrapbooks, correspondence and reports relating to Kohler's extensive activities on behalf of liberal immigration and naturalization laws in the United States, his opposition to the registration of aliens, the problems of Chinese immigration to the United States, his opposition to the use of the term "Hebrew Race" in the classification of immigrants, the drafting of minority clauses at the Paris Peace Conference in 1919, Jewish and Christian relations in the U.S., and the condition of Jews in Russia, Roumania, Poland and Nazi-Germany with the following institutions: the American Civil Liberties Union, 1926-1934, the American Jewish Committee, 1909-1934, B'nai Brith, 1930-1933, the Union of American Hebrew Congregations - Board of Delegates on Civil Rights, the Committee on Ellis Island, the Foreign Language Information Service, the Hebrew Benevolent Society of Baltimore, the Hebrew Sheltering and Immigrant Aid Society, the Jewish Immigrants' Information Bureau in Galveston, Texas, the Industrial Removal Office, the National Conference of Jews and Christians, the National Council of Jewish Women, the National Council on Naturalization and Citizenship, the Bureau of Immigration to the United States Department of Laborm the United States Department of Commerce and Labor, the Department of State and individual United States Congressmen.

Letter to trustees of K.K.S.I. from James Foster, regarding his desire to become a Jew

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Kutsu kuuliaisuuteen : James I. Packerin liittonomistinen raamattukäsitys

This dissertation examines James I. Packer s view of the Bible as the book of God s revelation. However, this study could not be complete without discussion of his background ideas about God, man and the foundations of theology. The research method used in this dissertation is systematic analysis. I analyse key theological concepts in the data, such as inerrancy, God s word and the covenant of grace, and examine Packer s concepts primarily in the context of the reformed tradition that he represents. Although the dissertation presents the philosophical premises of Packer s thought, the focus is on an analysis of theological concepts. Packer claims to approach theological issues broadly and to reject legalism. However, he also considers Calvinist thinking to be best suited to theological work and emphasises the central role of law in his view of the Bible. My dissertation pays particular attention to the status of law in Packer s theology and especially in the covenant of grace. The dissertation shows that the fundamental theological structure of Packer s view of the Bible is based on Puritan covenant theology, which consists of the temporally successive covenant of works and covenant of grace. Covenant theology stresses the connection and friendship between God and man. Man s highest goal according to the Westminster Confession of Faith (1647) is to glorify the triune God and to rejoice in him for all eternity. After the fall of man, this friendship between God and man can only take place in the covenant of grace. For Packer, the covenant of grace encompasses not only the time of the Gospel, but also the time of the law before the Gospel. Consequently, the covenant of grace incorporates in its very essence the demand of obedience to God s law. Covenant theology forms the foundation for both his view of the Bible and his idea that a believer lives in a covenant of grace, the key aspects of which are God s commandments and man s works. Law and the Gospel are not considered fundamental opposites in the covenant of grace, unlike in justification. In the covenant of grace, man has become God s friend who obeys the law as the law of Christ in a way which differs from Luther s view of obedience to the faith . For Packer, covenant theology is a Puritan instrument to link predestination and sanctification. Works committed in obedience show that the believer belongs to the covenant of grace and will be among the saved. Although voluntary obedience to God s commandments is not a direct instrument to achieve salvation, it is a pivotal sign of predestination. God calls the predestined to salvation with an effectual calling, the reliable message of the Bible. In sanctification, God guides a believer living in the context of covenantal nomism. In that sense, the Bible is above all an instrument of law guided by reason. In man s obedience, God completes man s nature and restores the imago Dei in man.

Comments on: "The role of the social environment in psychiatric research: Outstanding challenges and future directions by Dana March, James Kirkbride, Wim Veling"

On 17 March 2009, we hosted a live discussion of fresh new ideas in the epidemiology of schizophrenia. Discussion leaders Dana March of Columbia University, James Kirkbride of the University of Cambridge, and Wim Veling of Parnassia Psychiatric Institute delivered a wide-ranging discussion of social factors such as migration, ethnicity, and urbanicity, but also asked how this research could benefit from genetic insights. Finally, they discussed possible biological mechanisms that might transduce social factors into psychosis

An Estimator Algorithm For Learning Automata With Changing Number Of Actions

In many problems of decision making under uncertainty the system has to acquire knowledge of its environment and learn the optimal decision through its experience. Such problems may also involve the system having to arrive at the globally optimal decision, when at each instant only a subset of the entire set of possible alternatives is available. These problems can be successfully modelled and analysed by learning automata. In this paper an estimator learning algorithm, which maintains estimates of the reward characteristics of the random environment, is presented for an automaton with changing number of actions. A learning automaton using the new scheme is shown to be e-optimal. The simulation results demonstrate the fast convergence properties of the new algorithm. The results of this study can be extended to the design of other types of estimator algorithms with good convergence properties.

New a posteriori error estimator and adaptive mesh refinement strategy for 2-D crack problems

A posteriori error estimation and adaptive refinement technique for fracture analysis of 2-D/3-D crack problems is the state-of-the-art. The objective of the present paper is to propose a new a posteriori error estimator based on strain energy release rate (SERR) or stress intensity factor (SIF) at the crack tip region and to use this along with the stress based error estimator available in the literature for the region away from the crack tip. The proposed a posteriori error estimator is called the K-S error estimator. Further, an adaptive mesh refinement (h-) strategy which can be used with K-S error estimator has been proposed for fracture analysis of 2-D crack problems. The performance of the proposed a posteriori error estimator and the h-adaptive refinement strategy have been demonstrated by employing the 4-noded, 8-noded and 9-noded plane stress finite elements. The proposed error estimator together with the h-adaptive refinement strategy will facilitate automation of fracture analysis process to provide reliable solutions.

Characterization of Birkhoff-James orthogonality

The Birkhoff-James orthogonality is a generalization of Hilbert space orthogonality to Banach spaces. We investigate this notion of orthogonality when the Banach space has more structures. We start by doing so for the Banach space of square matrices moving gradually to all bounded operators on any Hilbert space, then to an arbitrary C*-algebra and finally a Hilbert C*-module.

Block Sparse Estimator for Grid Matching in Single Snapshot DoA Estimation

In this work, the grid mismatch problem for a single snapshot direction of arrival estimation problem is studied. We derive a Bayesian Cramer-Rao bound for the grid mismatch problem with the errors in variables model and propose a block sparse estimator for grid matching and sparse recovery.

Bivariate frequency analysis of floods using a diffusion based kernel density estimator

Recent focus of flood frequency analysis (FFA) studies has been on development of methods to model joint distributions of variables such as peak flow, volume, and duration that characterize a flood event, as comprehensive knowledge of flood event is often necessary in hydrological applications. Diffusion process based adaptive kernel (D-kernel) is suggested in this paper for this purpose. It is data driven, flexible and unlike most kernel density estimators, always yields a bona fide probability density function. It overcomes shortcomings associated with the use of conventional kernel density estimators in FFA, such as boundary leakage problem and normal reference rule. The potential of the D-kernel is demonstrated by application to synthetic samples of various sizes drawn from known unimodal and bimodal populations, and five typical peak flow records from different parts of the world. It is shown to be effective when compared to conventional Gaussian kernel and the best of seven commonly used copulas (Gumbel-Hougaard, Frank, Clayton, Joe, Normal, Plackett, and Student's T) in estimating joint distribution of peak flow characteristics and extrapolating beyond historical maxima. Selection of optimum number of bins is found to be critical in modeling with D-kernel.

AN OPTIMUM SHRINKAGE ESTIMATOR BASED ON MINIMUM-PROBABILITY-OF-ERROR CRITERION AND APPLICATION TO SIGNAL DENOISING

We address the problem of designing an optimal pointwise shrinkage estimator in the transform domain, based on the minimum probability of error (MPE) criterion. We assume an additive model for the noise corrupting the clean signal. The proposed formulation is general in the sense that it can handle various noise distributions. We consider various noise distributions (Gaussian, Student's-t, and Laplacian) and compare the denoising performance of the estimator obtained with the mean-squared error (MSE)-based estimators. The MSE optimization is carried out using an unbiased estimator of the MSE, namely Stein's Unbiased Risk Estimate (SURE). Experimental results show that the MPE estimator outperforms the SURE estimator in terms of SNR of the denoised output, for low (0 -10 dB) and medium values (10 - 20 dB) of the input SNR.