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Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (vol 50, pg 765, 2017)

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NATURE GENETICS 2018年第5期50卷 765-766页

作者： Turcot, Valerie Lu, Yingchang Highland, Heather M. Schurmann, Claudia Justice, Anne E. Fine, Rebecca S. Bradfield, Jonathan P. Esko, Tonu Giri, Ayush Graff, Mariaelisa Guo, Xiuqing Hendricks, Audrey E. Karaderi, Tugce Lempradl, Adelheid Locke, Adam E. Mahajan, Anubha Marouli, Eirini Sivapalaratnam, Suthesh Young, Kristin L. Alfred, Tamuno Feitosa, Mary F. Masca, Nicholas G. D. Manning, Alisa K. Medina-Gomez, Carolina Mudgal, Poorva Ng, Maggie C. Y. Reiner, Alex P. Vedantam, Sailaja Willems, Sara M. Winkler, Thomas W. Abecasis, Goncalo Aben, Katja K. Alam, Dewan S. Alharthi, Sameer E. Allison, Matthew Amouyel, Philippe Asselbergs, Folkert W. Auer, Paul L. Balkau, Beverley Bang, Lia E. Barroso, Ines Bastarache, Lisa Benn, Marianne Bergmann, Sven Bielak, Lawrence F. Bluher, Matthias Boehnke, Michael Boeing, Heiner Boerwinkle, Eric Boger, Carsten A. Bork-Jensen, Jette Bots, Michiel L. Bottinger, Erwin P. Bowden, Donald W. Brandslund, Ivan Breen, Gerome Brilliant, Murray H. Broer, Linda Brumat, Marco Burt, Amber A. Butterworth, Adam S. Campbell, Peter T. Cappellani, Stefania Carey, David J. Catamo, Eulalia Caulfield, Mark J. Chambers, John C. Chasman, Daniel I. Chen, Yii-Der I. Chowdhury, Rajiv Christensen, Cramer Chu, Audrey Y. Cocca, Massimiliano Collins, Francis S. Cook, James P. Corley, Janie Galbany, Jordi Corominas Cox, Amanda J. Crosslin, David S. Cuellar-Partida, Gabriel D'Eustacchio, Angela Danesh, John Davies, Gail Bakker, Paul I. W. Groot, Mark C. H. Mutsert, Renee Deary, Ian J. Dedoussis, George Demerath, Ellen W. Heijer, Martin Hollander, Anneke I. Ruijter, Hester M. Dennis, Joe G. Denny, Josh C. Angelantonio, Emanuele Drenos, Fotios Du, Mengmeng Dube, Marie-Pierre Dunning, Alison M. Easton, Douglas F. Edwards, Todd L. Ellinghaus, David Ellinor, Patrick T. Elliott, Paul Evangelou, Evangelos Farmaki, Aliki-Eleni Farooqi, I. Sadaf Faul, Jessica D. Fauser, Sascha Feng, Shuang Ferrannini, Ele Ferrieres, Jean Florez, Jose C. Ford, Ian Fornage, Myriam Franco, Oscar H. Franke, Andre Franks, Paul W. Friedrich, Ne Montreal Heart Institute Université de Montréal Montreal Quebec Canada Division of Epidemiology Department of Medicine Vanderbilt-Ingram Cancer Center Vanderbilt Epidemiology Center Vanderbilt University School of Medicine Nashville TN USA Charles Bronfman Institute for Personalized Medicine Icahn School of Medicine at Mount Sinai New York NY USA Genetics of Obesity and Related Metabolic Traits Program Icahn School of Medicine at Mount Sinai New York NY USA Department of Epidemiology University of North Carolina Chapel Hill NC USA Human Genetics Center University of Texas School of Public Health University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences University of Texas Health Science Center at Houston Houston TX USA Broad Institute of MIT and Harvard Cambridge MA USA Department of Genetics Harvard Medical School Boston MA USA Division of Endocrinology and Center for Basic and Translational Obesity Research Boston Children’s Hospital Boston MA USA Center for Applied Genomics Division of Human Genetics Children’s Hospital of Philadelphia Philadelphia PA USA Quantinuum Research LLC San Diego CA USA Estonian Genome Center University of Tartu Tartu Estonia Division of Epidemiology Department of Medicine Institute for Medicine and Public Health Vanderbilt Genetics Institute Vanderbilt University Nashville TN USA Institute for Translational Genomics and Population Sciences LABioMed at Harbor-UCLA Medical Center Torrance CA USA Wellcome Trust Sanger Institute Hinxton UK Department of Mathematical and Statistical Sciences University of Colorado Denver CO USA Wellcome Trust Centre for Human Genetics University of Oxford Oxford UK Department of Biological Sciences Faculty of Arts and Sciences Eastern Mediterranean University Famagusta Cyprus Max Planck Institute of Immunobiology and Epigenetics Freiburg Germany Department of Biostatistics and Center for Statistical Genetics University of Michigan Ann Arbor

Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2 and ZNF169) newly implicated in human obesity, 2 variants were in genes (MC4R and KSR2) previously observed to be mutated in extreme obesity and 2 variants were in GIPR. The effect sizes of rare variants are ~10 times larger than those of common variants, with the largest effect observed in carriers of an MC4R mutation introducing a stop codon (***35Ter, MAF = 0.01%), who weighed ~7 kg more than non-carriers. Pathway analyses based on the variants associated with BMI confirm enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically supported therapeutic targets in obesity.

关键词： Genome-wide association studies Obesity

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Dark Energy Survey Year 3 Results: High-precision measurement and modeling of galaxy-galaxy lensing

arXiv

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arXiv 2021年

作者： Prat, Judit Blazek, J. Sánchez, C. Tutusaus, I. Pandey, S. Elvin-Poole, J. Krause, E. Troxel, M.A. Secco, L.F. Amon, A. DeRose, J. Zacharegkas, G. Chang, C. Jain, B. MacCrann, N. Park, Y. Sheldon, E. Giannini, G. Bocquet, S. To, C. Alarcon, A. Alves, O. Andrade-Oliveira, F. Baxter, E. Bechtol, K. Becker, M.R. Bernstein, G.M. Camacho, H. Campos, A. Carnero Rosell, A. Carrasco Kind, M. Cawthon, R. Chen, R. Choi, A. Cordero, J. Crocce, M. Davis, C. De Vicente, J. Diehl, H.T. Dodelson, S. Doux, C. Drlica-Wagner, A. Eckert, K. Eifler, T.F. Elsner, F. Everett, S. Fang, X. Farahi, A. Ferté, A. Fosalba, P. Friedrich, O. Gatti, M. Gruen, D. Gruendl, R.A. Harrison, I. Hartley, W.G. Herner, K. Huang, H. Huff, E.M. Huterer, D. Jarvis, M. Kuropatkin, N. Leget, P.-F. Lemos, P. Liddle, A.R. McCullough, J. Muir, J. Myles, J. Navarro-Alsina, A. Porredon, A. Raveri, M. Rodriguez-Monroy, M. Rollins, R.P. Roodman, A. Rosenfeld, R. Ross, A.J. Rykoff, E.S. Sanchez, J. Sevilla-Noarbe, I. Shin, T. Troja, A. Varga, T.N. Weaverdyck, N. Wechsler, R.H. Yanny, B. Yin, B. Zuntz, J. Abbott, T.M.C. Aguena, M. Allam, S. Annis, J. Bacon, D. Brooks, D. Burke, D.L. Carretero, J. Conselice, C. Costanzi, M. da Costa, L.N. Pereira, M.E.S. Desai, S. Dietrich, J.P. Doel, P. Evrard, A.E. Ferrero, I. Flaugher, B. Frieman, J. García-Bellido, J. Gaztanaga, E. Gerdes, D.W. Giannantonio, T. Gschwend, J. Gutierrez, G. Hinton, S.R. Hollowood, D.L. Honscheid, K. James, D.J. Kuehn, K. Lahav, O. Lin, H. Maia, M.A.G. Marshall, J.L. Martini, P. Melchior, P. Menanteau, F. Miller, C.J. Miquel, R. Mohr, J.J. Morgan, R. Ogando, R.L.C. Palmese, A. Paz-Chinchón, F. Petravick, D. Plazas Malagón, A.A. Sanchez, E. Serrano, S. Smith, M. Soares-Santos, M. Suchyta, E. Tarle, G. Thomas, D. Weller, J. Department of Astronomy and Astrophysics University of Chicago ChicagoIL60637 United States Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Department of Physics Northeastern University BostonMA02115 United States Observatoire de Sauverny Versoix1290 Switzerland Department of Physics and Astronomy University of Pennsylvania PhiladelphiaPA19104 United States Barcelona08034 Spain Campus UAB Carrer de Can Magrans s/n Barcelona08193 Spain Center for Cosmology and Astro-Particle Physics The Ohio State University ColumbusOH43210 United States Department of Physics The Ohio State University ColumbusOH43210 United States Department of Astronomy Steward Observatory University of Arizona 933 North Cherry Avenue TucsonAZ85721-0065 United States Department of Physics Duke University DurhamNC27708 United States Kavli Institute for Particle Astrophysics & Cosmology Stanford University P. O. Box 2450 StanfordCA94305 United States Lawrence Berkeley National Laboratory 1 Cyclotron Road BerkeleyCA94720 United States Department of Applied Mathematics and Theoretical Physics University of Cambridge CambridgeCB3 0WA United Kingdom UTIAS The University of Tokyo Chiba Kashiwa277-8583 Japan Brookhaven National Laboratory Bldg 510 UptonNY11973 United States The Barcelona Institute of Science and Technology Campus UAB Bellaterra Barcelona08193 Spain Faculty of Physics Ludwig-Maximilians-Universität Scheinerstr. 1 Munich81679 Germany Department of Physics Stanford University 382 Via Pueblo Mall StanfordCA94305 United States SLAC National Accelerator Laboratory Menlo ParkCA94025 United States Argonne National Laboratory 9700 South Cass Avenue LemontIL60439 United States Department of Physics University of Michigan Ann ArborMI48109 United States Instituto de Física Teórica Universidade Estadual Paulista São Paulo Brazil Laboratório Interinstitucional de e-Astronomia - LIneA Rua G

We present and characterize the galaxy-galaxy lensing signal measured using the first three years of data from the Dark Energy Survey (DES Y3) covering 4132 deg2. These galaxy-galaxy measurements are used in the DES Y3 3×2pt cosmological analysis, which combines weak lensing and galaxy clustering information. We use two lens samples: a magnitude-limited sample and the redMaGic sample, which span the redshift range ∼ 0.2 − 1 with 10.7 M and 2.6 M galaxies respectively. For the source catalog, we use the Metacalibration shape sample, consisting of '100 M galaxies separated into 4 tomographic bins. Our galaxy-galaxy lensing estimator is the mean tangential shear, for which we obtain a total S/N of ∼148 for MagLim (∼120 for redMaGic), and ∼67 (∼55) after applying the scale cuts of 6 Mpc/ℎ. Thus we reach percent-level statistical precision, which requires that our modeling and systematic-error control be of comparable accuracy. The tangential shear model used in the 3×2pt cosmological analysis includes lens magnification, a five-parameter intrinsic alignment model (TATT), marginalization over a point-mass to remove information from small scales and a linear galaxy bias model validated with higher-order terms. We explore the impact of these choices on the tangential shear observable and study the significance of effects not included in our model, such as reduced shear, source magnification and source clustering. We also test the robustness of our measurements to various observational and systematics effects, such as the impact of observing conditions, lens-source clustering, random-point subtraction, scale-dependent Metacalibration responses, PSF residuals, and B-modes. Copyright © 2021, The Authors. All rights reserved.

关键词： Galaxies

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Dark Energy Survey Year 3 Results: Constraints on cosmological parameters and galaxy bias models from galaxy clustering and galaxy-galaxy lensing using the redMaGiC sample

arXiv

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arXiv 2021年

作者： Pandey, Shivam Krause, E. DeRose, J. MacCrann, N. Jain, B. Crocce, M. Blazek, J. Choi, A. Huang, H. To, C. Fang, X. Elvin-Poole, J. Prat, J. Porredon, A. Secco, L.F. Rodriguez-Monroy, M. Weaverdyck, N. Park, Y. Raveri, M. Rozo, E. Rykoff, E.S. Bernstein, G.M. Sánchez, C. Jarvis, M. Troxel, M.A. Zacharegkas, G. Chang, C. Alarcon, A. Alves, O. Amon, A. Andrade-Oliveira, F. Baxter, E. Bechtol, K. Becker, M.R. Camacho, H. Campos, A. Carnero Rosell, A. Carrasco Kind, M. Cawthon, R. Chen, R. Chintalapati, P. Davis, C. Di Valentino, E. Diehl, H.T. Dodelson, S. Doux, C. Drlica-Wagner, A. Eckert, K. Eifler, T.F. Elsner, F. Everett, S. Farahi, A. Ferté, A. Fosalba, P. Friedrich, O. Gatti, M. Giannini, G. Gruen, D. Gruendl, R.A. Harrison, I. Hartley, W.G. Huff, E.M. Huterer, D. Kovacs, A. Leget, P.F. McCullough, J. Muir, J. Myles, J. Navarro-Alsina, A. Omori, Y. Rollins, R.P. Roodman, A. Rosenfeld, R. Sevilla-Noarbe, I. Sheldon, E. Shin, T. Troja, A. Tutusaus, I. Varga, T.N. Wechsler, R.H. Yanny, B. Yin, B. Zhang, Y. Zuntz, J. Abbott, T.M.C. Aguena, M. Allam, S. Annis, J. Bacon, D. Bertin, E. Brooks, D. Burke, D.L. Carretero, J. Conselice, C. Costanzi, M. da Costa, L.N. Pereira, M.E.S. De Vicente, J. Dietrich, J.P. Doel, P. Evrard, A.E. Ferrero, I. Flaugher, B. Frieman, J. García-Bellido, J. Gaztanaga, E. Gerdes, D.W. Giannantonio, T. Gschwend, J. Gutierrez, G. Hinton, S.R. Hollowood, D.L. Honscheid, K. James, D.J. Jeltema, T. Kuehn, K. Kuropatkin, N. Lahav, O. Lima, M. Lin, H. Maia, M.A.G. Marshall, J.L. Melchior, P. Menanteau, F. Miller, C.J. Miquel, R. Mohr, J.J. Morgan, R. Palmese, A. Paz-Chinchón, F. Petravick, D. Pieres, A. Plazas Malagón, A.A. Sanchez, E. Scarpine, V. Serrano, S. Smith, M. Soares-Santos, M. Suchyta, E. Tarle, G. Thomas, D. Weller, J. Department of Physics and Astronomy University of Pennsylvania PhiladelphiaPA19104 United States Department of Astronomy Steward Observatory University of Arizona 933 North Cherry Avenue TucsonAZ85721-0065 United States Lawrence Berkeley National Laboratory 1 Cyclotron Road BerkeleyCA94720 United States Department of Applied Mathematics and Theoretical Physics University of Cambridge CambridgeCB3 0WA United Kingdom Barcelona08034 Spain Campus UAB Carrer de Can Magrans s/n Barcelona08193 Spain Department of Physics Northeastern University BostonMA02115 United States Observatoire de Sauverny Versoix1290 Switzerland Center for Cosmology and Astro-Particle Physics The Ohio State University ColumbusOH43210 United States Department of Physics University of Arizona TucsonAZ85721 United States Department of Physics Stanford University 382 Via Pueblo Mall StanfordCA94305 United States Kavli Institute for Particle Astrophysics & Cosmology Stanford University P. O. Box 2450 StanfordCA94305 United States SLAC National Accelerator Laboratory Menlo ParkCA94025 United States Department of Physics The Ohio State University ColumbusOH43210 United States Department of Astronomy and Astrophysics University of Chicago ChicagoIL60637 United States Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Madrid Spain Department of Physics University of Michigan Ann ArborMI48109 United States UTIAS The University of Tokyo Chiba Kashiwa277-8583 Japan Department of Physics Duke University DurhamNC27708 United States Argonne National Laboratory 9700 South Cass Avenue LemontIL60439 United States Instituto de Física Teórica Universidade Estadual Paulista São Paulo Brazil Laboratório Interinstitucional de e-Astronomia - LIneA Rua Gal. José Cristino 77 RJ Rio de Janeiro20921-400 Brazil Institute for Astronomy University of Hawai'i 2680 Woodlawn Drive HonoluluHI96822 United States Physics

We constrain cosmological parameters and galaxy-bias parameters using the combination of galaxy clustering and galaxy-galaxy lensing measurements from the Dark Energy Survey (DES) Year-3 data. We describe our modeling framework and choice of scales analyzed, validating their robustness to theoretical uncertainties in small-scale clustering by analyzing simulated data. Using a linear galaxy bias model and redMaGiC galaxy sample, we obtain 10% constraints on the matter density of the universe. We also implement a non-linear galaxy bias model to probe smaller scales that includes parameterization based on hybrid perturbation theory, and find that it leads to a 17% gain in cosmological constraining power. We perform robustness tests of our methodology pipeline and demonstrate stability of the constraints to changes in the theory model. Using the redMaGiC galaxy sample as foreground lens galaxies, and adopting the best-fitting cosmological parameters from DES Year-1 data, we find the galaxy clustering and galaxy-galaxy lensing measurements to exhibit significant signals akin to de-correlation between galaxies and mass on large scales, which is not expected in any current models. This likely systematic measurement error biases our constraints on galaxy bias and the S8 parameter. We find that a scale-, redshift- and sky-area-independent phenomenological de-correlation parameter can effectively capture this inconsistency between the galaxy clustering and galaxy-galaxy lensing. We trace the source of this correlation to a color-dependent photometric issue and minimize its impact on our result by changing the selection criteria of redMaGiC galaxies. Using this new sample, our constraints on the S8 parameter are consistent with previous studies and we find a small shift in the Ωm constraints compared to the fiducial redMaGiC sample. We infer the constraints on the mean host halo mass of the redMaGiC galaxies in this new sample from the large-scale bias constraints, finding the

关键词： Galaxies

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SARS-CoV-2 evolution during treatment of chronic infection (vol 592, pg 277, 2021)

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NATURE 2022年第7922期608卷 E23-E23页

作者： Kemp, Steven A. Collier, Dami A. Datir, Rawlings P. Ferreira, Isabella A. T. M. Gayed, Salma Jahun, Aminu Hosmillo, Myra Rees-Spear, Chloe Mlcochova, Petra Lumb, Ines Ushiro Roberts, David J. Chandra, Anita Temperton, Nigel Sharrocks, Katherine Blane, Elizabeth Modis, Yorgo Leigh, Kendra E. Briggs, John A. G. van Gils, Marit J. Smith, Kenneth G. C. Bradley, John R. Smith, Chris Doffinger, Rainer Ceron-Gutierrez, Lourdes Barcenas-Morales, Gabriela Pollock, David D. Goldstein, Richard A. Smielewska, Anna Skittrall, Jordan P. Gouliouris, Theodore Goodfellow, Ian G. Gkrania-Klotsas, Effrossyni Illingworth, Christopher J. R. Mccoy, Laura E. Gupta, Ravindra K. Division of Infection and Immunity University College London London UK Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID) Cambridge UK Department of Medicine University of Cambridge Cambridge UK Wellcome Sanger Centre Hinxton UK Department of Biomedicine University and University Hospital Basel Basel Switzerland Botnar Research Centre for Child Health (BRCCH) University Basel & ETH Zurich Basel Switzerland MRC Toxicology Unit School of Biological Sciences University of Cambridge Cambridge UK Medical Research Council Laboratory of Molecular Biology Cambridge UK Africa Health Research Institute Durban South Africa Cambridge Clinical Research Centre NIHR Clinical Research Facility Cambridge University Hospitals NHS Foundation Trust Addenbrooke’s Hospital Cambridge UK Heart and Lung Research Institute Cambridge UK Royal Papworth Hospital NHS Foundation Trust Cambridge UK Department of Applied Mathematics and Theoretical Physics University of Cambridge Cambridge UK Department of Haematology University of Cambridge Cambridge UK Department of Infectious Diseases Cambridge University Hospitals NHS Foundation Trust Cambridge UK Department of Microbiology Cambridge University Hospitals NHS Foundation Trust Cambridge UK NIHR Cambridge Bioresource Cambridge UK Department of Infectious Diseases Cambridge University NHS Hospitals Foundation Trust Cambridge UK Clinical Microbiology and Public Health Laboratory Addenbrooke’s Hospital Cambridge UK Department of Pathology University of Cambridge Cambridge UK Division of Virology Department of Pathology University of Cambridge Cambridge UK Department of Virology Cambridge University NHS Hospitals Foundation Trust Cambridge UK NHS Blood and Transplant Oxford and BRC Haematology Theme University of Oxford Oxford UK Viral Pseudotype Unit Medway School of Pharmacy University of Kent Canterbury UK Department of Medical Microbiology Academic Medical Center University of Amsterdam Amsterdam

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Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis (vol 50, pg 1368, 2020)

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PSYCHOLOGICAL MEDICINE 2020年第16期50卷 2816-2816页

作者： Wu, Yin Levis, Brooke Riehm, Kira E. Saadat, Nazanin Levis, Alexander W. Azar, Marleine Rice, Danielle B. Boruff, Jill Cuijpers, Pim Gilbody, Simon Ioannidis, John P. A. Kloda, Lorie A. McMillan, Dean Patten, Scott B. Shrier, Ian Ziegelstein, Roy C. Akena, Dickens H. Arroll, Bruce Ayalon, Liat Baradaran, Hamid R. Baron, Murray Bombardier, Charles H. Butterworth, Peter Carter, Gregory Chagas, Marcos H. Chan, Juliana C. N. Cholera, Rushina Conwell, Yeates de Manvan Ginkel, Janneke M. Fann, Jesse R. Fischer, Felix H. Fung, Daniel Gelaye, Bizu Goodyear-Smith, Felicity Greeno, Catherine G. Hall, Brian J. Harrison, Patricia A. Harter, Martin Hegerl, Ulrich Hides, Leanne Hobfoll, Stevan E. Hudson, Marie Hyphantis, Thomas Inagaki, Masatoshi Jette, Nathalie Khamseh, Mohammad E. Kiely, Kim M. Kwan, Yunxin Lamers, Femke Liu, Shen-Ing Lotrakul, Manote Loureiro, Sonia R. Lowe, Bernd McGuire, Anthony Mohd-Sidik, Sherina Munhoz, Tiago N. Muramatsu, Kumiko Osorio, Flavia L. Patel, Vikram Pence, Brian W. Persoons, Philippe Picardi, Angelo Reuter, Katrin Rooney, Alasdair G. Santos, Ina S. Shaaban, Juwita Sidebottom, Abbey Simning, Adam Stafford, Lesley Sung, Sharon Tan, Pei Lin Lynnette Turner, Alyna van Weert, Henk C. White, Jennifer Whooley, Mary A. Winkley, Kirsty Yamada, Mitsuhiko Benedetti, Andrea Thombs, Brett D. [a1]Lady Davis Institute for Medical Research Jewish General Hospital Montréal Québec Canada [a2]Department of Psychiatry McGill University Montréal Québec Canada [a3]Department of Epidemiology Biostatistics and Occupational Health McGill University Montréal Québec Canada [a4]Department of Psychology McGill University Montréal Québec Canada [a5]Schulich Library of Physical Sciences Life Sciences and Engineering McGill University Montreal Quebec Canada [a6]Department of Clinical Neuro and Developmental Psychology Amsterdam Public Health Research Institute Vrije Universiteit Amsterdam the Netherlands [a7]Hull York Medical School and the Department of Health Sciences University of York Heslington York UK [a8]Department of Medicine Department of Health Research and Policy Department of Biomedical Data Science Department of Statistics Stanford University Stanford California USA [a9]Library Concordia University Montréal Québec Canada [a10]Department of Community Health Sciences University of Calgary Calgary Alberta Canada [a11]Hotchkiss Brain Institute and O’Brien Institute for Public Health University of Calgary Calgary Alberta Canada [a12]Department of Medicine Johns Hopkins University School of Medicine Baltimore Maryland USA [a13]Department of Psychiatry Makerere University College of Health Sciences Kampala Uganda [a14]Department of General Practice and Primary Health Care University of Auckland Auckland New Zealand [a15]Louis and Gabi Weisfeld School of Social Work Bar Ilan University Ramat Gan Israel [a16]Endocrine Research Center Institute of Endocrinology and Metabolism Iran University of Medical Sciences Tehran Iran [a17]Ageing Clinical & Experimental Research Team Institute of Applied Health Sciences School of Medicine Medical Sciences and Nutrition University of Aberdeen Aberdeen Scotland UK [a18]Department of Medicine McGill University Montréal Québec Canada [a19]Department of Rehabilitation Medicine University of Washington S

BackgroundItem 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and *** conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic ***16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (−0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01).ConclusionsPHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar.

关键词： Depression diagnostic accuracy individual participant data meta-analysis meta-analysis PHQ-8 PHQ-9 screening systematic review

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Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

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Nature genetics 2019年第7期51卷 1191-1192页

作者： Valérie Turcot Yingchang Lu Heather M Highland Claudia Schurmann Anne E Justice Rebecca S Fine Jonathan P Bradfield Tõnu Esko Ayush Giri Mariaelisa Graff Xiuqing Guo Audrey E Hendricks Tugce Karaderi Adelheid Lempradl Adam E Locke Anubha Mahajan Eirini Marouli Suthesh Sivapalaratnam Kristin L Young Tamuno Alfred Mary F Feitosa Nicholas G D Masca Alisa K Manning Carolina Medina-Gomez Poorva Mudgal Maggie C Y Ng Alex P Reiner Sailaja Vedantam Sara M Willems Thomas W Winkler Gonçalo Abecasis Katja K Aben Dewan S Alam Sameer E Alharthi Matthew Allison Philippe Amouyel Folkert W Asselbergs Paul L Auer Beverley Balkau Lia E Bang Inês Barroso Lisa Bastarache Marianne Benn Sven Bergmann Lawrence F Bielak Matthias Blüher Michael Boehnke Heiner Boeing Eric Boerwinkle Carsten A Böger Jette Bork-Jensen Michiel L Bots Erwin P Bottinger Donald W Bowden Ivan Brandslund Gerome Breen Murray H Brilliant Linda Broer Marco Brumat Amber A Burt Adam S Butterworth Peter T Campbell Stefania Cappellani David J Carey Eulalia Catamo Mark J Caulfield John C Chambers Daniel I Chasman Yii-Der I Chen Rajiv Chowdhury Cramer Christensen Audrey Y Chu Massimiliano Cocca Francis S Collins James P Cook Janie Corley Jordi Corominas Galbany Amanda J Cox David S Crosslin Gabriel Cuellar-Partida Angela D'Eustacchio John Danesh Gail Davies Paul I W Bakker Mark C H Groot Renée Mutsert Ian J Deary George Dedoussis Ellen W Demerath Martin Heijer Anneke I Hollander Hester M Ruijter Joe G Dennis Josh C Denny Emanuele Di Angelantonio Fotios Drenos Mengmeng Du Marie-Pierre Dubé Alison M Dunning Douglas F Easton Todd L Edwards David Ellinghaus Patrick T Ellinor Paul Elliott Evangelos Evangelou Aliki-Eleni Farmaki I Sadaf Farooqi Jessica D Faul Sascha Fauser Shuang Feng Ele Ferrannini Jean Ferrieres Jose C Florez Ian Ford Myriam Fornage Oscar H Franco Andre Franke Paul W Franks Nele Friedrich Ruth Frikke-Schmidt Tessel E Galesloot Wei Gan Ilaria Gandin Paolo Gasparini Jane Gibson Vilmantas Giedraitis Anette P Gjesing Penny Gordon-Larsen Mathias Gorski Hans-Jörgen Montreal Heart Institute Université de Montréal Montreal Quebec Canada. Division of Epidemiology Department of Medicine Vanderbilt-Ingram Cancer Center Vanderbilt Epidemiology Center Vanderbilt University School of Medicine Nashville TN USA. Charles Bronfman Institute for Personalized Medicine Icahn School of Medicine at Mount Sinai New York NY USA. Genetics of Obesity and Related Metabolic Traits Program Icahn School of Medicine at Mount Sinai New York NY USA. Department of Epidemiology University of North Carolina Chapel Hill NC USA. Human Genetics Center University of Texas School of Public Health University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences University of Texas Health Science Center at Houston Houston TX USA. Broad Institute of MIT and Harvard Cambridge MA USA. Department of Genetics Harvard Medical School Boston MA USA. Division of Endocrinology and Center for Basic and Translational Obesity Research Boston Children's Hospital Boston MA USA. Center for Applied Genomics Division of Human Genetics Children's Hospital of Philadelphia Philadelphia PA USA. Quantinuum Research LLC San Diego CA USA. Estonian Genome Center University of Tartu Tartu Estonia. Division of Epidemiology Department of Medicine Institute for Medicine and Public Health Vanderbilt Genetics Institute Vanderbilt University Nashville TN USA. Institute for Translational Genomics and Population Sciences LABioMed at Harbor-UCLA Medical Center Torrance CA USA. Wellcome Trust Sanger Institute Hinxton UK. Department of Mathematical and Statistical Sciences University of Colorado Denver CO USA. Wellcome Trust Centre for Human Genetics University of Oxford Oxford UK. Department of Biological Sciences Faculty of Arts and Sciences Eastern Mediterranean University Famagusta Cyprus. Max Planck Institute of Immunobiology and Epigenetics Freiburg Germany. Department of Biostatistics and Center for Statistical Genetics University of M

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Authorship Correction: International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study

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Journal of medical Internet research 2021年第11期23卷 e34625页

作者： Griffin M Weber Harrison G Zhang Sehi L'Yi Clara-Lea Bonzel Chuan Hong Paul Avillach Alba Gutiérrez-Sacristán Nathan P Palmer Amelia Li Min Tan Xuan Wang William Yuan Nils Gehlenborg Anna Alloni Danilo F Amendola Antonio Bellasi Riccardo Bellazzi Michele Beraghi Mauro Bucalo Luca Chiovato Kelly Cho Arianna Dagliati Hossein Estiri Robert W Follett Noelia García Barrio David A Hanauer Darren W Henderson Yuk-Lam Ho John H Holmes Meghan R Hutch Ramakanth Kavuluru Katie Kirchoff Jeffrey G Klann Ashok K Krishnamurthy Trang T Le Molei Liu Ne Hooi Will Loh Sara Lozano-Zahonero Yuan Luo Sarah Maidlow Adeline Makoudjou Alberto Malovini Marcelo Roberto Martins Bertrand Moal Michele Morris Danielle L Mowery Shawn N Murphy Antoine Neuraz Kee Yuan Ngiam Marina P Okoshi Gilbert S Omenn Lav P Patel Miguel Pedrera Jiménez Robson A Prudente Malarkodi Jebathilagam Samayamuthu Fernando J Sanz Vidorreta Emily R Schriver Petra Schubert Pablo Serrano Balazote Byorn Wl Tan Suzana E Tanni Valentina Tibollo Shyam Visweswaran Kavishwar B Wagholikar Zongqi Xia Daniela Zöller Isaac S Kohane Tianxi Cai Andrew M South Gabriel A Brat Department of Biomedical Informatics Harvard Medical School Boston MA United States. BIOMERIS (BIOMedical Research Informatics Solutions) Pavia Italy. Clinical Research Unit Botucatu Medical School São Paulo State University Botucatu Brazil. Division of Nephrology Department of Medicine Ente Ospedaliero Cantonale Lugano Switzerland. Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy. Information Technology Department Azienda Socio-Sanitaria Territoriale di Pavia Pavia Italy. Unit of Internal Medicine and Endocrinology Istituti Clinici Scientifici Maugeri SpA SB IRCCS Pavia Italy. Massachusetts Veterans Epidemiology Research and Information Center Veterans Affairs Boston Healthcare System Boston MA United States. Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy. Department of Medicine Massachusetts General Hospital Boston MA United States. Department of Medicine David Geffen School of Medicine University of California Los Angeles Los Angeles CA United States. Health Informatics Hospital Universitario 12 de Octubre Madrid Spain. Department of Learning Health Sciences University of Michigan Medical School Ann Arbor MI United States. Department of Biomedical Informatics University of Kentucky Lexington KY United States. Department of Biostatistics Epidemiology and Informatics University of Pennsylvania Perelman School of Medicine Philadelphia PA United States. Institute for Biomedical Informatics University of Pennsylvania Perelman School of Medicine Philadelphia PA United States. Department of Preventive Medicine Northwestern University Chicago IL United States. Institute for Biomedical Informatics University of Kentucky Lexington KY United States. Medical University of South Carolina Charleston SC United States. Department of Computer Science Renaissance Computing Institute University of North Carolina at Chapel Hill Chapel Hill NC United States. Departm

[This corrects the article DOI: 10.2196/31400.].

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Magnetization dynamics and its scattering mechanism in thin CoFeB films with interfacial anisotropy

arXiv

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arXiv 2017年

作者： Okada, A. He, S. Gu, B. Kanai, S. Soumyanarayanan, A. Lim, S.T. Tran, M. Mori, M. Maekawa, S. Matsukura, F. Ohno, H. Panagopoulos, C. Laboratory for Nanoelectronics and Spintronics Research Institute of Electrical Communication Tohoku University 2-1-1 Katahira Aoba-ku Sendai980-8577 Japan Divison of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 637371 Singapore Data Storage Institute 5 Engineering Drive 1 117608 Singapore Advanced Science Research Center Japan Atomic Energy Agency Tokai319-1195 Japan Center for Spintronics Integrated Systems Tohoku University 2-1-1 Katahira Aoba-ku Sendai980-8577 Japan Center for Spintronics Research Network Tohoku University 2-1-1 Katahira Aoba-ku Sendai980-8577 Japan ERATO Japan Science and Technoogy Agency Sendai980-8577 Japan WPI-Advanced Institute for Materials Research Tohoku University 2-1-1 Katahira Aoba-ku Sendai980-8577 Japan Center for Innovative Integrated Electronic Systems Tohoku University 468-1 Aramaki Aza Aoba Aoba-ku Sendai980-0845 Japan

Significance Ferromagnetic resonance (FMR) is considered a standard tool in the study of magnetization dynamics, with an established analysis procedure. We show there is a missing piece of physics to consider in order to fully understand and precisely interpret FMR results. This physics manifests itself in the dynamics of magnetization and hence in FMR spectra of ferromagnets, where interfacial anisotropy is a fundamental term. Advances in ferromagnetic heterostructures enabled by developing cutting-edge technology now allow us to probe and reveal physics previously hidden in the bulk properties of ferromagnets. Copyright © 2017, The Authors. All rights reserved.

关键词： Ferromagnetism

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Author Correction: A human immune dysregulation syndrome characterized by severe hyperinflammation with a homozygous nonsense Roquin-1 mutation

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Nature communications 2019年第1期10卷 5337页

作者： S J Tavernier V Athanasopoulos P Verloo G Behrens J Staal D J Bogaert L Naesens M De Bruyne S Van Gassen E Parthoens J Ellyard J Cappello L X Morris H Van Gorp G Van Isterdael Y Saeys M Lamkanfi P Schelstraete J Dehoorne V Bordon R Van Coster B N Lambrecht B Menten R Beyaert C G Vinuesa V Heissmeyer M Dullaers F Haerynck Primary Immune Deficiency Research Lab Department of Internal Medicine and Pediatrics Centre for Primary Immunodeficiency Ghent Jeffrey Modell Diagnosis and Research Centre Ghent University Hospital Ghent Belgium. VIB Center for Inflammation Research Unit of Molecular Signal Transduction in Inflammation Ghent Belgium. Department of Biomedical Molecular Biology Ghent University Ghent Belgium. Department of Immunology and Infectious Disease and Center for Personalised Immunology (NHMRC Centre for Research Excellence) John Curtin School of Medical Research Australian National University Canberra Australia. Centre for Personalised Immunology (CACPI) Shanghai Renji Hospital Shanghai Jiao Tong University Shanghai China. Department of Internal Medicine and Pediatrics Division of Pediatric Neurology and Metabolism Ghent University Hospital Ghent Belgium. Institute for Immunology Biomedical Center Ludwig-Maximilians-Universität München Planegg-Martinsried Germany. Research Unit Molecular Immune Regulation Helmholtz Zentrum München Munich Germany. Department of Internal Medicine and Pediatrics Division of Pediatric Immunology and Pulmonology Ghent University Hospital Ghent Belgium. Department of Internal Medicine and Pediatrics Ghent University Hospital Ghent Belgium. Center for Medical Genetics Ghent University Hospital Ghent Belgium. VIB Center for Inflammation Research Unit of Data Mining and Modeling for Biomedicine Ghent Belgium. Department of Applied Mathematics Computer Science and Statistics Ghent University Gent Belgium. VIB Bioimaging Core VIB Center for Inflammation Research Ghent Belgium. The Australian Phenomics Facility John Curtin School of Medical Research Australian National University Canberra Australia. VIB Center for Inflammation Research Ghent Belgium. VIB Flow Core VIB Center for Inflammation Research Ghent Belgium. Department of Internal Medicine and Pediatrics Division of Pediatric Rheumatology Ghent University Hospital Ghent Belgium. D

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci (vol 50, pg 928, 2018)

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NATURE GENETICS 2019年第2期51卷 363-363页

作者： Schumacher, Fredrick R. Al Olama, Ali Amin Berndt, Sonja I. Benlloch, Sara Ahmed, Mahbubl Saunders, Edward J. Dadaev, Tokhir Leongamornlert, Daniel Anokian, Ezequiel Cieza-Borrella, Clara Goh, Chee Brook, Mark N. Sheng, Xin Fachal, Laura Dennis, Joe Tyrer, Jonathan Muir, Kenneth Lophatananon, Artitaya Stevens, Victoria L. Gapstur, Susan M. Carter, Brian D. Tangen, Catherine M. Goodman, Phyllis J. Thompson, Ian M., Jr. Batra, Jyotsna Chambers, Suzanne Moya, Leire Clements, Judith Horvath, Lisa Tilley, Wayne Risbridger, Gail P. Gronberg, Henrik Aly, Markus Nordstrom, Tobias Pharoah, Paul Pashayan, Nora Schleutker, Johanna Tammela, Teuvo L. J. Sipeky, Csilla Auvinen, Anssi Albanes, Demetrius Weinstein, Stephanie Wolk, Alicja Hakansson, Niclas West, Catharine M. L. Dunning, Alison M. Burnet, Neil Mucci, Lorelei A. Giovannucci, Edward Andriole, Gerald L. Cussenot, Olivier Cancel-Tassin, Geraldine Koutros, Stella Freeman, Laura E. Beane Sorensen, Karina Dalsgaard Orntoft, Torben Falck Borre, Michael Maehle, Lovise Grindedal, Eli Marie Neal, David E. Donovan, Jenny L. Hamdy, Freddie C. Martin, Richard M. Travis, Ruth C. Key, Tim J. Hamilton, Robert J. Fleshner, Neil E. Finelli, Antonio Ingles, Sue Ann Stern, Mariana C. Rosenstein, Barry S. Kerns, Sarah L. Ostrer, Harry Lu, Yong-Jie Zhang, Hong-Wei Feng, Ninghan Mao, Xueying Guo, Xin Wang, Guomin Sun, Zan Giles, Graham G. Southey, Melissa C. MacInnis, Robert J. FitzGerald, Liesel M. Kibel, Adam S. Drake, Bettina F. Vega, Ana Gomez-Caamano, Antonio Szulkin, Robert Eklund, Martin Kogevinas, Manolis Llorca, Javier Castano-Vinyals, Gemma Penney, Kathryn L. Stampfer, Meir Park, Jong Y. Sellers, Thomas A. Lin, Hui-Yi Stanford, Janet L. Cybulski, Cezary Wokolorczyk, Dominika Lubinski, Jan Ostrander, Elaine A. Geybels, Milan S. Nordestgaard, Borge G. Nielsen, Sune F. Weischer, Maren Bisbjerg, Rasmus Roder, Martin Andreas Iversen, Peter Brenner, Hermann Cuk, Katarina Holleczek, Bernd Maier, Christiane Luedeke, Manuel Schnoeller, Thomas Kim, Jeri Logothetis, Christopher J. John, E Department of Population and Quantitative Health Sciences Case Western Reserve University Cleveland USA Seidman Cancer Center University Hospitals Cleveland USA Royal Marsden NHS Foundation Trust London UK Department of Public Health and Primary Care Centre for Cancer Genetic Epidemiology University of Cambridge Strangeways Research Laboratory Cambridge UK Department of Clinical Neurosciences University of Cambridge Cambridge UK Division of Cancer Epidemiology and Genetics National Cancer Institute NIH Bethesda USA Institute of Cancer Research London UK Department of Preventive Medicine Keck School of Medicine University of Southern California/Norris Comprehensive Cancer Center Los Angeles USA Fundación Pública Galega de Medicina Xenómica–SERGAS Grupo de Medicina Xenómica CIBERER IDIS Santiago de Compostela Spain Department of Oncology Centre for Cancer Genetic Epidemiology Strangeways Laboratory University of Cambridge Cambridge UK Division of Population Health Health Services Research and Primary Care University of Manchester Manchester UK Warwick Medical School University of Warwick Coventry UK Epidemiology Research Program American Cancer Society Atlanta USA SWOG Statistical Center Fred Hutchinson Cancer Research Center Seattle USA CHRISTUS Santa Rosa Hospital–Medical Center San Antonio USA Institute of Health and Biomedical Innovation and School of Biomedical Sciences Queensland University of Technology Brisbane Australia Australian Prostate Cancer Research Centre–Qld Translational Research Institute Brisbane Australia Menzies Health Institute of Queensland Griffith University Nathan Australia Cancer Council Queensland Fortitude Valley Australia Chris O’Brien Lifehouse (COBLH) Camperdown Australia Garvan Institute of Medical Research Sydney Australia Dame Roma Mitchell Cancer Research Centre University of Adelaide Adelaide Australia Monash Biomedicine Discovery Institute Cancer Program Prostate Cancer Research Program Department of Anatom

In the version of this article initially published, the name of author Manuela Gago-Dominguez was misspelled as Manuela Gago Dominguez. The error has been corrected in the HTML and PDF version of the article.

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