3 research outputs found

    The Challenge of Co-Religionist Commerce

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    This Article addresses the rise of co-religionist commerce in the United States—that is, the explosion of commercial dealings that take place between co-religionists who intend their transactions to achieve both commercial and religious objectives. To remain viable, coreligionist commerce requires all the legal support necessary to sustain all other commercial relationships. Contracts must be enforced, parties must be protected against torts, and disputes must be reliably adjudicated. Under current constitutional doctrine, co-religionist commercial agreements must be translated into secular terminology if they are to be judicially enforced. But many religious goods and services cannot be accurately translated without religious terms and structures. To address this translation problem, courts could make use of contextual tools of contract interpretation, thereby providing the necessary evidence to give meaning to co-religionist commercial agreements. However, contextual approaches to co-religionist commerce have been undermined by two current legal trends—one in constitutional law, the other in commercial law. The first is New Formalism, which discourages courts from looking to customary norms and relational principles to interpret commercial instruments. The second is what we call Establishment Clause Creep, which describes a growing judicial reticence to adjudicate disputes situated within a religious context. Together, these two legal developments prevent courts from using context to interpret and enforce co-religionist commercial agreements. This Article proposes that courts preserve co-religionist commerce with a limited embrace of contextualism. A thorough inquiry into context, which is discouraged by both New Formalist and many Establishment Clause doctrines, would allow courts to surmise parties\u27 intents and distinguish commercial from religious substance. Empowering the intent of co-religionist parties and limiting the doctrinal developments that threaten to undermine co-religionist commerce can secure marketplace dealings without intruding upon personal faith

    Estimation of Genetic Correlation via Linkage Disequilibrium Score Regression and Genomic Restricted Maximum Likelihood

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    J. Lönnqvist on työryhmän Psychiat Genomics Consortium jäsen.Genetic correlation is a key population parameter that describes the shared genetic architecture of complex traits and diseases. It can be estimated by current state-of-art methods, i.e., linkage disequilibrium score regression (LDSC) and genomic restricted maximum likelihood (GREML). The massively reduced computing burden of LDSC compared to GREML makes it an attractive tool, although the accuracy (i.e., magnitude of standard errors) of LDSC estimates has not been thoroughly studied. In simulation, we show that the accuracy of GREML is generally higher than that of LDSC. When there is genetic heterogeneity between the actual sample and reference data from which LD scores are estimated, the accuracy of LDSC decreases further. In real data analyses estimating the genetic correlation between schizophrenia (SCZ) and body mass index, we show that GREML estimates based on similar to 150,000 individuals give a higher accuracy than LDSC estimates based on similar to 400,000 individuals (from combinedmeta-data). A GREML genomic partitioning analysis reveals that the genetic correlation between SCZ and height is significantly negative for regulatory regions, which whole genome or LDSC approach has less power to detect. We conclude that LDSC estimates should be carefully interpreted as there can be uncertainty about homogeneity among combined meta-datasets. We suggest that any interesting findings from massive LDSC analysis for a large number of complex traits should be followed up, where possible, with more detailed analyses with GREML methods, even if sample sizes are lesser.Peer reviewe

    Simultaneous targeting of two ligand-binding sites on VEGFR2 using biparatopic Affibody molecules results in dramatically improved affinity

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    Angiogenesis plays an important role in cancer and ophthalmic disorders such as age-related macular degeneration and diabetic retinopathy. The vascular endothelial growth factor (VEGF) family and corresponding receptors are regulators of angiogenesis and have been much investigated as therapeutic targets. The aim of this work was to generate antagonistic VEGFR2-specific affinity proteins having adjustable pharmacokinetic properties allowing for either therapy or molecular imaging. Two antagonistic Affibody molecules that were cross-reactive for human and murine VEGFR2 were selected by phage and bacterial display. Surprisingly, although both binders independently blocked VEGF-A binding, competition assays revealed interaction with non-overlapping epitopes on the receptor. Biparatopic molecules, comprising the two Affibody domains, were hence engineered to potentially increase affinity even further through avidity. Moreover, an albumin-binding domain was included for half-life extension in future in vivo experiments. The best-performing of the biparatopic constructs demonstrated up to 180-fold slower dissociation than the monomers. The new Affibody constructs were also able to specifically target VEGFR2 on human cells, while simultaneously binding to albumin, as well as inhibit VEGF-induced signaling. In summary, we have generated small antagonistic biparatopic Affibody molecules with high affinity for VEGFR2, which have potential for both future therapeutic and diagnostic purposes in angiogenesis-related diseases
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