26 research outputs found

    Supreme Court rules in favor of same-sex marriage across theU.S.: USAPP experts react

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    On Friday, the Supreme Court ruled that state bans on gay marriage were unconstitutional in the case Obergefell v. Hodges. We asked our expert contributors for their reactions to the ruling

    Pathogenic variants in glutamyl-tRNAGln amidotransferase subunits cause a lethal mitochondrial cardiomyopathy disorder.

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    Mitochondrial protein synthesis requires charging mt-tRNAs with their cognate amino acids by mitochondrial aminoacyl-tRNA synthetases, with the exception of glutaminyl mt-tRNA (mt-tRNAGln). mt-tRNAGln is indirectly charged by a transamidation reaction involving the GatCAB aminoacyl-tRNA amidotransferase complex. Defects involving the mitochondrial protein synthesis machinery cause a broad spectrum of disorders, with often fatal outcome. Here, we describe nine patients from five families with genetic defects in a GatCAB complex subunit, including QRSL1, GATB, and GATC, each showing a lethal metabolic cardiomyopathy syndrome. Functional studies reveal combined respiratory chain enzyme deficiencies and mitochondrial dysfunction. Aminoacylation of mt-tRNAGln and mitochondrial protein translation are deficient in patients' fibroblasts cultured in the absence of glutamine but restore in high glutamine. Lentiviral rescue experiments and modeling in S. cerevisiae homologs confirm pathogenicity. Our study completes a decade of investigations on mitochondrial aminoacylation disorders, starting with DARS2 and ending with the GatCAB complex

    Causal Inference and American Political Development: Contrasts and Complementarities

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    Causal inference and American political development (APD) are widely separated and (to some) fundamentally incompatible tendencies within political science. In this paper, we explore points of connection between those two perspectives, while also highlighting differences that are not so easily bridged. We stress that both causal inference and APD are centrally interested in questions of causation, but they approach causation with very different ontological and epistemological commitments. We emphasize how the sort of detailed, contextualized, and often qualitative knowledge privileged by APD can promote credible causal (and descriptive) inferences, but also that scholars of causal inference can benefit from alternate conceptions of causality embraced by APD work. We illustrate with two empirical examples from our own research: devising weights for quota-sampled opinion polls and estimating the political effects of the Tennessee Valley Authority. We conclude that bringing APD and causal inference together on more equal terms may require a broader perspective on causation than is typical of scholarship in the causal-inference tradition

    Replication Data for: An Empirical Justification for the Use of Draft Lottery Numbers as a Random Treatment in Political Science Research

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    Abstract: Over the last several years, there has been growing use of the draft lottery instrument to study political attitudes and behaviors (see, for example, Bergan 2009; Davenport 2014; Erikson and Stoker 2011, Henderson 2012). Draft lotteries, held in the United States from 1969 to 1972, provide a potentially powerful design; in theory, they should provide true randomization for the “treatment” of military service or behavioral reactions to the threat of such service. However, the first draft lottery conducted in 1969 was not conducted in a random manner, giving those citizens born the fourth quarter of the year disproportionately higher chances of being drafted. In this note, we describe the randomization failure and discuss how this failure could in theory compromise the use of draft lottery numbers as an instrumental variable. We then use ANES data to provide support for the conclusion that individuals most affected by the randomization failure (those born in the fourth quarter of the year) largely do not look statistically distinct from those born at other times of the year. With some caveats, researchers should be able to treat the 1969 draft numbers as if they were assigned at random. We also discuss broader lessons to draw from this example, both for scholars interested in using the draft lottery as an instrumental variable, and for researchers leveraging other instruments with randomization failures. Specifically, we suggest that scholars should pay particular attention to the sources of randomization failure, sample attrition, treatment and dependent variable selection, and possible failure of the exclusion restriction, and we outline ways in which these problems may apply to the draft lottery instrument and other natural experiments

    Replication Data for: Who Matches? Propensity Scores and Bias in the Causal Effects of Education on Participation

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    Files contain data and replication code for the article "Who Matches? Propensity Scores and Bias in the Causal Effects of Education on Participation", Journal of Politics 73:3, July 2011

    Facial Dominance and Electoral Success in Times of War and Peace

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    Do voters prefer dominant looking candidates in times of war? By replicating previous survey experiments, we find that respondents do prefer candidates with dominant facial features when war is salient. We then investigate whether these survey results generalize to the real world. Examining US Senate elections from 1990 to 2006, we test whether voters prefer candidates with dominant facial features in wartime elections more than in peacetime elections. In contrast with the survey studies, we find that dominant-looking candidates appear to gain a slight advantage in all elections but have no special advantage in wartime contexts. We discuss possible explanations for the discrepancy between the findings and conduct additional experiments to investigate one possible explanation: additional information about candidates may rapidly erode the wartime preference for dominant looking candidates. Overall, our findings suggest that the dominance-war findings may not generalize to the real world
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