TY - JOUR A1 - Huang, Xiaozhong A1 - Peng, Wei A1 - Rudaya, Natalia A1 - Grimm, Eric C. A1 - Chen, Xuemei A1 - Cao, Xianyong A1 - Zhang, Jun A1 - Pan, Xiaoduo A1 - Liu, Sisi A1 - Chen, Chunzhu A1 - Chen, Fahu T1 - Holocene vegetation and climate dynamics in the Altai Mountains and Surrounding Areas JF - Geophysical research letters N2 - A comprehensive understanding of the regional vegetation responses to long-term climate change will help to forecast Earth system dynamics. Based on a new well-dated pollen data set from Kanas Lake and a review on the published pollen records in and around the Altai Mountains, the regional vegetation dynamics and forcing mechanisms are discussed. In the Altai Mountains, the forest optimum occurred during 10-7ka for the upper forest zone and the tree line decline and/or ecological shifts were caused by climatic cooling from around 7ka. In the lower forest zone, the forest reached an optimum in the middle Holocene, and then increased openness of the forest, possibly caused by both climate cooling and human activities, took place in the late Holocene. In the lower basins or plains around the Altai Mountains, the development of protograssland or forest benefited from increasing humidity in the middle to late Holocene. Plain Language Summary In the Altai Mountains and surrounding area of central Asia, the previous studies of the Holocene paleovegetation and paleoclimate studies did not discuss the different ecological limiting factors for the vegetation in high mountains and low-elevation areas due to limited data. With accumulating fossil pollen data and surface pollen data, it is possible to understand better the geomorphological effect on the vegetation and discrepancies of vegetation/forest responses to large-scale climate forcing, and it is also possible to get reliable quantitative reconstructions of climate. Here our new pollen data and review on the published fossil pollen data will help us to look into the past climate change and vertical evolution of vegetation in this important area of the Northern Hemisphere. Based on our study, it can be concluded that the growth of taiga forest in the wetter areas may be promoted under a future warmer climate, while the forest in the relatively dry areas is liable to decline, and the different vegetation dynamics will contribute to future high-resolution coupled vegetation-climate model for Earth system modelling. KW - climate change KW - Kanas Lake KW - Altai Mountains KW - vegetation dynamics KW - taiga forest Y1 - 2018 U6 - https://doi.org/10.1029/2018GL078028 SN - 0094-8276 SN - 1944-8007 VL - 45 IS - 13 SP - 6628 EP - 6636 PB - American Geophysical Union CY - Washington ER - TY - JOUR A1 - Chen, Shun-Gang A1 - Li, Ji A1 - Zhang, Fan A1 - Xiao, Bo A1 - Hu, Jia-Ming A1 - Cui, Yin-Qiu A1 - Hofreiter, Michael A1 - Hou, Xin-Dong A1 - Sheng, Gui-Lian A1 - Lai, Xu-Long A1 - Yuan, Jun-Xia T1 - Different maternal lineages revealed by ancient mitochondrial genome of Camelus bactrianus from China JF - Mitochondrial DNA Part A N2 - Domestic Bactrian camel (Camelus bactrianus) used to be one of the most important livestock species in Chinese history, as well as the major transport carrier on the ancient Silk Road. However, archeological studies on Chinese C. bactrianus are still limited, and molecular biology research on this species is mainly focused on modern specimens. In this study, we retrieved the complete mitochondrial genome from a C. bactrianus specimen, which was excavated from northwestern China and dated at 1290-1180 cal. Phylogenetic analyses using 18 mitochondrial genomes indicated that the C. bactrianus clade was divided into two maternal lineages. The majority of samples originating from Iran to Japan and Mongolia belong to subclade A1, while our sample together with two Mongolian individuals formed the much smaller subclade A2. Furthermore, the divergence time of these two maternal lineages was estimated as 165 Kya (95% credibility interval 117-222 Kya), this might indicate that several different evolutionary lineages were incorporated into the domestic gene pool during the initial domestication process. Bayesian skyline plot (BSP) analysis a slow increase in female effective population size of C. bactrianus from 5000 years ago, which to the beginning of domestication of C. bactrianus. The present study also revealed that there were extensive exchanges of genetic information among C. bactrianus populations in regions along the Silk Road. KW - Camelus bactrianus KW - mitochondrial genome KW - ancient DNA KW - phylogeny KW - maternal lineages Y1 - 2019 U6 - https://doi.org/10.1080/24701394.2019.1659250 SN - 2470-1394 SN - 2470-1408 VL - 30 IS - 7 SP - 786 EP - 793 PB - Routledge, Taylor & Francis Group CY - Abingdon ER - TY - BOOK A1 - Hua, Chen A1 - Jun-Feng, Li A1 - Wei-An, Liu T1 - Behavior of the Solution to a Chemotaxis Model with Reproduction term T3 - Preprint / Universität Potsdam, Institut für Mathematik, Arbeitsgruppe Partiell Y1 - 2008 SN - 1437-739X PB - Univ. CY - Potsdam ER - TY - JOUR A1 - Middeldorp, Christel M. A1 - Mahajan, Anubha A1 - Horikoshi, Momoko A1 - Robertson, Neil R. A1 - Beaumont, Robin N. A1 - Bradfield, Jonathan P. A1 - Bustamante, Mariona A1 - Cousminer, Diana L. A1 - Day, Felix R. A1 - De Silva, N. Maneka A1 - Guxens, Monica A1 - Mook-Kanamori, Dennis O. A1 - St Pourcain, Beate A1 - Warrington, Nicole M. A1 - Adair, Linda S. A1 - Ahlqvist, Emma A1 - Ahluwalia, Tarunveer Singh A1 - Almgren, Peter A1 - Ang, Wei A1 - Atalay, Mustafa A1 - Auvinen, Juha A1 - Bartels, Meike A1 - Beckmann, Jacques S. A1 - Bilbao, Jose Ramon A1 - Bond, Tom A1 - Borja, Judith B. A1 - Cavadino, Alana A1 - Charoen, Pimphen A1 - Chen, Zhanghua A1 - Coin, Lachlan A1 - Cooper, Cyrus A1 - Curtin, John A. A1 - Custovic, Adnan A1 - Das, Shikta A1 - Davies, Gareth E. A1 - Dedoussis, George V. A1 - Duijts, Liesbeth A1 - Eastwood, Peter R. A1 - Eliasen, Anders U. A1 - Elliott, Paul A1 - Eriksson, Johan G. A1 - Estivill, Xavier A1 - Fadista, Joao A1 - Fedko, Iryna O. A1 - Frayling, Timothy M. A1 - Gaillard, Romy A1 - Gauderman, W. James A1 - Geller, Frank A1 - Gilliland, Frank A1 - Gilsanz, Vincente A1 - Granell, Raquel A1 - Grarup, Niels A1 - Groop, Leif A1 - Hadley, Dexter A1 - Hakonarson, Hakon A1 - Hansen, Torben A1 - Hartman, Catharina A. A1 - Hattersley, Andrew T. A1 - Hayes, M. Geoffrey A1 - Hebebrand, Johannes A1 - Heinrich, Joachim A1 - Helgeland, Oyvind A1 - Henders, Anjali K. A1 - Henderson, John A1 - Henriksen, Tine B. A1 - Hirschhorn, Joel N. A1 - Hivert, Marie-France A1 - Hocher, Berthold A1 - Holloway, John W. A1 - Holt, Patrick A1 - Hottenga, Jouke-Jan A1 - Hypponen, Elina A1 - Iniguez, Carmen A1 - Johansson, Stefan A1 - Jugessur, Astanand A1 - Kahonen, Mika A1 - Kalkwarf, Heidi J. A1 - Kaprio, Jaakko A1 - Karhunen, Ville A1 - Kemp, John P. A1 - Kerkhof, Marjan A1 - Koppelman, Gerard H. A1 - Korner, Antje A1 - Kotecha, Sailesh A1 - Kreiner-Moller, Eskil A1 - Kulohoma, Benard A1 - Kumar, Ashish A1 - Kutalik, Zoltan A1 - Lahti, Jari A1 - Lappe, Joan M. A1 - Larsson, Henrik A1 - Lehtimaki, Terho A1 - Lewin, Alexandra M. A1 - Li, Jin A1 - Lichtenstein, Paul A1 - Lindgren, Cecilia M. A1 - Lindi, Virpi A1 - Linneberg, Allan A1 - Liu, Xueping A1 - Liu, Jun A1 - Lowe, William L. A1 - Lundstrom, Sebastian A1 - Lyytikainen, Leo-Pekka A1 - Ma, Ronald C. W. A1 - Mace, Aurelien A1 - Magi, Reedik A1 - Magnus, Per A1 - Mamun, Abdullah A. A1 - Mannikko, Minna A1 - Martin, Nicholas G. A1 - Mbarek, Hamdi A1 - McCarthy, Nina S. A1 - Medland, Sarah E. A1 - Melbye, Mads A1 - Melen, Erik A1 - Mohlke, Karen L. A1 - Monnereau, Claire A1 - Morgen, Camilla S. A1 - Morris, Andrew P. A1 - Murray, Jeffrey C. A1 - Myhre, Ronny A1 - Najman, Jackob M. A1 - Nivard, Michel G. A1 - Nohr, Ellen A. A1 - Nolte, Ilja M. A1 - Ntalla, Ioanna A1 - Oberfield, Sharon E. A1 - Oken, Emily A1 - Oldehinkel, Albertine J. A1 - Pahkala, Katja A1 - Palviainen, Teemu A1 - Panoutsopoulou, Kalliope A1 - Pedersen, Oluf A1 - Pennell, Craig E. A1 - Pershagen, Goran A1 - Pitkanen, Niina A1 - Plomin, Robert A1 - Power, Christine A1 - Prasad, Rashmi B. A1 - Prokopenko, Inga A1 - Pulkkinen, Lea A1 - Raikkonen, Katri A1 - Raitakari, Olli T. A1 - Reynolds, Rebecca M. A1 - Richmond, Rebecca C. A1 - Rivadeneira, Fernando A1 - Rodriguez, Alina A1 - Rose, Richard J. A1 - Salem, Rany A1 - Santa-Marina, Loreto A1 - Saw, Seang-Mei A1 - Schnurr, Theresia M. A1 - Scott, James G. A1 - Selzam, Saskia A1 - Shepherd, John A. A1 - Simpson, Angela A1 - Skotte, Line A1 - Sleiman, Patrick M. A. A1 - Snieder, Harold A1 - Sorensen, Thorkild I. A. A1 - Standl, Marie A1 - Steegers, Eric A. P. A1 - Strachan, David P. A1 - Straker, Leon A1 - Strandberg, Timo A1 - Taylor, Michelle A1 - Teo, Yik-Ying A1 - Thiering, Elisabeth A1 - Torrent, Maties A1 - Tyrrell, Jessica A1 - Uitterlinden, Andre G. A1 - van Beijsterveldt, Toos A1 - van der Most, Peter J. A1 - van Duijn, Cornelia M. A1 - Viikari, Jorma A1 - Vilor-Tejedor, Natalia A1 - Vogelezang, Suzanne A1 - Vonk, Judith M. A1 - Vrijkotte, Tanja G. M. A1 - Vuoksimaa, Eero A1 - Wang, Carol A. A1 - Watkins, William J. A1 - Wichmann, H-Erich A1 - Willemsen, Gonneke A1 - Williams, Gail M. A1 - Wilson, James F. A1 - Wray, Naomi R. A1 - Xu, Shujing A1 - Xu, Cheng-Jian A1 - Yaghootkar, Hanieh A1 - Yi, Lu A1 - Zafarmand, Mohammad Hadi A1 - Zeggini, Eleftheria A1 - Zemel, Babette S. A1 - Hinney, Anke A1 - Lakka, Timo A. A1 - Whitehouse, Andrew J. O. A1 - Sunyer, Jordi A1 - Widen, Elisabeth E. A1 - Feenstra, Bjarke A1 - Sebert, Sylvain A1 - Jacobsson, Bo A1 - Njolstad, Pal R. A1 - Stoltenberg, Camilla A1 - Smith, George Davey A1 - Lawlor, Debbie A. A1 - Paternoster, Lavinia A1 - Timpson, Nicholas J. A1 - Ong, Ken K. A1 - Bisgaard, Hans A1 - Bonnelykke, Klaus A1 - Jaddoe, Vincent W. V. A1 - Tiemeier, Henning A1 - Jarvelin, Marjo-Riitta A1 - Evans, David M. A1 - Perry, John R. B. A1 - Grant, Struan F. A. A1 - Boomsma, Dorret I. A1 - Freathy, Rachel M. A1 - McCarthy, Mark I. A1 - Felix, Janine F. T1 - The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia BT - design, results and future prospects JF - European journal of epidemiology N2 - The impact of many unfavorable childhood traits or diseases, such as low birth weight and mental disorders, is not limited to childhood and adolescence, as they are also associated with poor outcomes in adulthood, such as cardiovascular disease. Insight into the genetic etiology of childhood and adolescent traits and disorders may therefore provide new perspectives, not only on how to improve wellbeing during childhood, but also how to prevent later adverse outcomes. To achieve the sample sizes required for genetic research, the Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia were established. The majority of the participating cohorts are longitudinal population-based samples, but other cohorts with data on early childhood phenotypes are also involved. Cohorts often have a broad focus and collect(ed) data on various somatic and psychiatric traits as well as environmental factors. Genetic variants have been successfully identified for multiple traits, for example, birth weight, atopic dermatitis, childhood BMI, allergic sensitization, and pubertal growth. Furthermore, the results have shown that genetic factors also partly underlie the association with adult traits. As sample sizes are still increasing, it is expected that future analyses will identify additional variants. This, in combination with the development of innovative statistical methods, will provide detailed insight on the mechanisms underlying the transition from childhood to adult disorders. Both consortia welcome new collaborations. Policies and contact details are available from the corresponding authors of this manuscript and/or the consortium websites. KW - Genetics KW - Consortium KW - Childhood traits and disorders KW - Longitudinal Y1 - 2019 U6 - https://doi.org/10.1007/s10654-019-00502-9 SN - 0393-2990 SN - 1573-7284 VL - 34 IS - 3 SP - 279 EP - 300 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Liu, Rui A1 - Kliem, Bernhard A1 - Titov, Viacheslav S. A1 - Chen, Jun A1 - Wang, Yuming A1 - Wang, Haimin A1 - Liu, Chang A1 - Xu, Yan A1 - Wiegelmann, Thomas T1 - STRUCTURE, STABILITY, AND EVOLUTION OF MAGNETIC FLUX ROPES FROM THE PERSPECTIVE OF MAGNETIC TWIST JF - The astrophysical journal : an international review of spectroscopy and astronomical physics N2 - We investigate the evolution of NOAA Active Region (AR) 11817 during 2013 August 10–12, when it developed a complex field configuration and produced four confined, followed by two eruptive, flares. These C-and-above flares are all associated with a magnetic flux rope (MFR) located along the major polarity inversion line, where shearing and converging photospheric flows are present. Aided by the nonlinear force-free field modeling, we identify the MFR through mapping magnetic connectivities and computing the twist number ${{ \mathcal T }}_{w}$ for each individual field line. The MFR is moderately twisted ($| {{ \mathcal T }}_{w}| \lt 2$) and has a well-defined boundary of high squashing factor Q. We found that the field line with the extremum $| {{ \mathcal T }}_{w}| $ is a reliable proxy of the rope axis, and that the MFR's peak $| {{ \mathcal T }}_{w}| $ temporarily increases within half an hour before each flare while it decreases after the flare peak for both confined and eruptive flares. This pre-flare increase in $| {{ \mathcal T }}_{w}| $ has little effect on the AR's free magnetic energy or any other parameters derived for the whole region, due to its moderate amount and the MFR's relatively small volume, while its decrease after flares is clearly associated with the stepwise decrease in the whole region's free magnetic energy due to the flare. We suggest that ${{ \mathcal T }}_{w}$ may serve as a useful parameter in forewarning the onset of eruption, and therefore, the consequent space weather effects. The helical kink instability is identified as the prime candidate onset mechanism for the considered flares. KW - coronal mass ejections (CMEs) KW - Sun: corona KW - Sun: filaments, pominences KW - Sun: flares KW - Sun: magnetic fields Y1 - 2016 U6 - https://doi.org/10.3847/0004-637X/818/2/148 SN - 0004-637X SN - 1538-4357 VL - 818 PB - IOP Publ. Ltd. CY - Bristol ER - TY - INPR A1 - Chen, Hua A1 - Li, Jun-Feng A1 - Liu, Wei-An T1 - Behavior of the solution to a chemotaxis model with reproduction term N2 - Contents: 1 Introduction 2 Global existence and blow-up or quenching of the solution 3 Detailed asymptotical behavior of the solution T3 - Preprint - (2008) 02 Y1 - 2008 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-30304 ER - TY - JOUR A1 - Dolcos, Florin A1 - Katsumi, Yuta A1 - Bogdan, Paul C. A1 - Shen, Chen A1 - Jun, Suhnyoung A1 - Buetti, Simona A1 - Lleras, Alejandro A1 - Bost, Kelly Freeman A1 - Weymar, Mathias A1 - Dolcos, Sanda T1 - The impact of focused attention on subsequent emotional recollection BT - a functional MRI investigation JF - Neuropsychologia : an international journal in behavioural and cognitive neuroscience N2 - In his seminal works, Endel Tulving argued that functionally distinct memory systems give rise to subjective experiences of remembering and knowing (i.e., recollection- vs. familiarity-based memory, respectively). Evidence shows that emotion specifically enhances recollection, and this effect is subserved by a synergistic mechanism involving the amygdala (AMY) and hippocampus (HC). In extreme circumstances, however, uncontrolled recollection of highly distressing memories may lead to symptoms of affective disorders. Therefore, it is important to understand the factors that can diminish such detrimental effects. Here, we investigated the effects of Focused Attention (FA) on emotional recollection. FA is an emotion regulation strategy that has been proven quite effective in reducing the impact of emotional responses associated with the recollection of distressing autobiographical memories, but its impact during emotional memory encoding is not known. Functional MRI and eye-tracking data were recorded while participants viewed a series of composite negative and neutral images with distinguishable foreground (FG) and background (BG) areas. Participants were instructed to focus either on the FG or BG content of the images and to rate their emotional responses. About 4 days later, participants' memory was assessed using the R/K procedure, to indicate whether they Recollected specific contextual details about the encoded images or the images were just familiar to them - i.e., participants only Knew that they saw the pictures without being able to remember specific contextual details. First, results revealed that FA was successful in decreasing memory for emotional pictures viewed in BG Focus condition, and this effect was driven by recollection-based retrieval. Second, the BG Focus condition was associated with decreased activity in the AMY, HC, and anterior parahippocampal gyrus for subsequently recollected emotional items. Moreover, correlation analyses also showed that reduced activity in these regions predicted greater reduction in emotional recollection following FA. These results demonstrate the effectiveness of FA in mitigating emotional experiences and emotional recollection associated with unpleasant emotional events. KW - affect KW - emotion control KW - emotional memory KW - MTL KW - emotion-cognition KW - interaction KW - functional magnetic resonance imaging Y1 - 2020 U6 - https://doi.org/10.1016/j.neuropsychologia.2020.107338 SN - 0028-3932 SN - 1873-3514 VL - 138 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Chen, Jun A1 - Liu, Rui A1 - Liu, Kai A1 - Awasthi, Arun Kumar A1 - Zhang, Peijin A1 - Wang, Yuming A1 - Kliem, Bernhard T1 - Extreme-ultraviolet late phase of solar flares JF - The astrophysical journal : an international review of spectroscopy and astronomical physics N2 - A second peak in the extreme ultraviolet sometimes appears during the gradual phase of solar flares, which is known as the EUV late phase (ELP). Stereotypically ELP is associated with two separated sets of flaring loops with distinct sizes, and it has been debated whether ELP is caused by additional heating or extended plasma cooling in the longer loop system. Here we carry out a survey of 55 M-and-above GOES-class flares with ELP during 2010-2014. Based on the flare-ribbon morphology, these flares are categorized as circular-ribbon (19 events), two-ribbon (23 events), and complex-ribbon (13 events) flares. Among them, 22 events (40%) are associated with coronal mass ejections, while the rest are confined. An extreme ELP, with the late-phase peak exceeding the main-phase peak, is found in 48% of two-ribbon flares, 37% of circular-ribbon flares, and 31% of complex-ribbon flares, suggesting that additional heating is more likely present during ELP in two-ribbon than in circular-ribbon flares. Overall, cooling may be the dominant factor causing the delay of the ELP peak relative to the main-phase peak, because the loop system responsible for the ELP emission is generally larger than, and well separated from, that responsible for the main-phase emission. All but one of the circular-ribbon flares can be well explained by a composite "dome-plate" quasi-separatrix layer (QSL). Only half of these show a magnetic null point, with its fan and spine embedded in the dome and plate, respectively. The dome-plate QSL, therefore, is a general and robust structure characterizing circular-ribbon flares. Y1 - 2020 U6 - https://doi.org/10.3847/1538-4357/ab6def SN - 0004-637X SN - 1538-4357 VL - 890 IS - 2 PB - Institute of Physics Publ. CY - London ER - TY - JOUR A1 - Wuttke, Matthias A1 - Li, Yong A1 - Li, Man A1 - Sieber, Karsten B. A1 - Feitosa, Mary F. A1 - Gorski, Mathias A1 - Tin, Adrienne A1 - Wang, Lihua A1 - Chu, Audrey Y. A1 - Hoppmann, Anselm A1 - Kirsten, Holger A1 - Giri, Ayush A1 - Chai, Jin-Fang A1 - Sveinbjornsson, Gardar A1 - Tayo, Bamidele O. A1 - Nutile, Teresa A1 - Fuchsberger, Christian A1 - Marten, Jonathan A1 - Cocca, Massimiliano A1 - Ghasemi, Sahar A1 - Xu, Yizhe A1 - Horn, Katrin A1 - Noce, Damia A1 - Van der Most, Peter J. A1 - Sedaghat, Sanaz A1 - Yu, Zhi A1 - Akiyama, Masato A1 - Afaq, Saima A1 - Ahluwalia, Tarunveer Singh A1 - Almgren, Peter A1 - Amin, Najaf A1 - Arnlov, Johan A1 - Bakker, Stephan J. L. A1 - Bansal, Nisha A1 - Baptista, Daniela A1 - Bergmann, Sven A1 - Biggs, Mary L. A1 - Biino, Ginevra A1 - Boehnke, Michael A1 - Boerwinkle, Eric A1 - Boissel, Mathilde A1 - Böttinger, Erwin A1 - Boutin, Thibaud S. A1 - Brenner, Hermann A1 - Brumat, Marco A1 - Burkhardt, Ralph A1 - Butterworth, Adam S. A1 - Campana, Eric A1 - Campbell, Archie A1 - Campbell, Harry A1 - Canouil, Mickael A1 - Carroll, Robert J. A1 - Catamo, Eulalia A1 - Chambers, John C. A1 - Chee, Miao-Ling A1 - Chee, Miao-Li A1 - Chen, Xu A1 - Cheng, Ching-Yu A1 - Cheng, Yurong A1 - Christensen, Kaare A1 - Cifkova, Renata A1 - Ciullo, Marina A1 - Concas, Maria Pina A1 - Cook, James P. A1 - Coresh, Josef A1 - Corre, Tanguy A1 - Sala, Cinzia Felicita A1 - Cusi, Daniele A1 - Danesh, John A1 - Daw, E. Warwick A1 - De Borst, Martin H. A1 - De Grandi, Alessandro A1 - De Mutsert, Renee A1 - De Vries, Aiko P. J. A1 - Degenhardt, Frauke A1 - Delgado, Graciela A1 - Demirkan, Ayse A1 - Di Angelantonio, Emanuele A1 - Dittrich, Katalin A1 - Divers, Jasmin A1 - Dorajoo, Rajkumar A1 - Eckardt, Kai-Uwe A1 - Ehret, Georg A1 - Elliott, Paul A1 - Endlich, Karlhans A1 - Evans, Michele K. A1 - Felix, Janine F. A1 - Foo, Valencia Hui Xian A1 - Franco, Oscar H. A1 - Franke, Andre A1 - Freedman, Barry I. A1 - Freitag-Wolf, Sandra A1 - Friedlander, Yechiel A1 - Froguel, Philippe A1 - Gansevoort, Ron T. A1 - Gao, He A1 - Gasparini, Paolo A1 - Gaziano, J. Michael A1 - Giedraitis, Vilmantas A1 - Gieger, Christian A1 - Girotto, Giorgia A1 - Giulianini, Franco A1 - Gogele, Martin A1 - Gordon, Scott D. A1 - Gudbjartsson, Daniel F. A1 - Gudnason, Vilmundur A1 - Haller, Toomas A1 - Hamet, Pavel A1 - Harris, Tamara B. A1 - Hartman, Catharina A. A1 - Hayward, Caroline A1 - Hellwege, Jacklyn N. A1 - Heng, Chew-Kiat A1 - Hicks, Andrew A. A1 - Hofer, Edith A1 - Huang, Wei A1 - Hutri-Kahonen, Nina A1 - Hwang, Shih-Jen A1 - Ikram, M. Arfan A1 - Indridason, Olafur S. A1 - Ingelsson, Erik A1 - Ising, Marcus A1 - Jaddoe, Vincent W. V. A1 - Jakobsdottir, Johanna A1 - Jonas, Jost B. A1 - Joshi, Peter K. A1 - Josyula, Navya Shilpa A1 - Jung, Bettina A1 - Kahonen, Mika A1 - Kamatani, Yoichiro A1 - Kammerer, Candace M. A1 - Kanai, Masahiro A1 - Kastarinen, Mika A1 - Kerr, Shona M. A1 - Khor, Chiea-Chuen A1 - Kiess, Wieland A1 - Kleber, Marcus E. A1 - Koenig, Wolfgang A1 - Kooner, Jaspal S. A1 - Korner, Antje A1 - Kovacs, Peter A1 - Kraja, Aldi T. A1 - Krajcoviechova, Alena A1 - Kramer, Holly A1 - Kramer, Bernhard K. A1 - Kronenberg, Florian A1 - Kubo, Michiaki A1 - Kuhnel, Brigitte A1 - Kuokkanen, Mikko A1 - Kuusisto, Johanna A1 - La Bianca, Martina A1 - Laakso, Markku A1 - Lange, Leslie A. A1 - Langefeld, Carl D. A1 - Lee, Jeannette Jen-Mai A1 - Lehne, Benjamin A1 - Lehtimaki, Terho A1 - Lieb, Wolfgang A1 - Lim, Su-Chi A1 - Lind, Lars A1 - Lindgren, Cecilia M. A1 - Liu, Jun A1 - Liu, Jianjun A1 - Loeffler, Markus A1 - Loos, Ruth J. F. A1 - Lucae, Susanne A1 - Lukas, Mary Ann A1 - Lyytikainen, Leo-Pekka A1 - Magi, Reedik A1 - Magnusson, Patrik K. E. A1 - Mahajan, Anubha A1 - Martin, Nicholas G. A1 - Martins, Jade A1 - Marz, Winfried A1 - Mascalzoni, Deborah A1 - Matsuda, Koichi A1 - Meisinger, Christa A1 - Meitinger, Thomas A1 - Melander, Olle A1 - Metspalu, Andres A1 - Mikaelsdottir, Evgenia K. A1 - Milaneschi, Yuri A1 - Miliku, Kozeta A1 - Mishra, Pashupati P. A1 - Program, V. A. Million Veteran A1 - Mohlke, Karen L. A1 - Mononen, Nina A1 - Montgomery, Grant W. A1 - Mook-Kanamori, Dennis O. A1 - Mychaleckyj, Josyf C. A1 - Nadkarni, Girish N. A1 - Nalls, Mike A. A1 - Nauck, Matthias A1 - Nikus, Kjell A1 - Ning, Boting A1 - Nolte, Ilja M. A1 - Noordam, Raymond A1 - Olafsson, Isleifur A1 - Oldehinkel, Albertine J. A1 - Orho-Melander, Marju A1 - Ouwehand, Willem H. A1 - Padmanabhan, Sandosh A1 - Palmer, Nicholette D. A1 - Palsson, Runolfur A1 - Penninx, Brenda W. J. H. A1 - Perls, Thomas A1 - Perola, Markus A1 - Pirastu, Mario A1 - Pirastu, Nicola A1 - Pistis, Giorgio A1 - Podgornaia, Anna I. A1 - Polasek, Ozren A1 - Ponte, Belen A1 - Porteous, David J. A1 - Poulain, Tanja A1 - Pramstaller, Peter P. A1 - Preuss, Michael H. A1 - Prins, Bram P. A1 - Province, Michael A. A1 - Rabelink, Ton J. A1 - Raffield, Laura M. A1 - Raitakari, Olli T. A1 - Reilly, Dermot F. A1 - Rettig, Rainer A1 - Rheinberger, Myriam A1 - Rice, Kenneth M. A1 - Ridker, Paul M. A1 - Rivadeneira, Fernando A1 - Rizzi, Federica A1 - Roberts, David J. A1 - Robino, Antonietta A1 - Rossing, Peter A1 - Rudan, Igor A1 - Rueedi, Rico A1 - Ruggiero, Daniela A1 - Ryan, Kathleen A. A1 - Saba, Yasaman A1 - Sabanayagam, Charumathi A1 - Salomaa, Veikko A1 - Salvi, Erika A1 - Saum, Kai-Uwe A1 - Schmidt, Helena A1 - Schmidt, Reinhold A1 - Ben Schottker, A1 - Schulz, Christina-Alexandra A1 - Schupf, Nicole A1 - Shaffer, Christian M. A1 - Shi, Yuan A1 - Smith, Albert V. A1 - Smith, Blair H. A1 - Soranzo, Nicole A1 - Spracklen, Cassandra N. A1 - Strauch, Konstantin A1 - Stringham, Heather M. A1 - Stumvoll, Michael A1 - Svensson, Per O. A1 - Szymczak, Silke A1 - Tai, E-Shyong A1 - Tajuddin, Salman M. A1 - Tan, Nicholas Y. Q. A1 - Taylor, Kent D. A1 - Teren, Andrej A1 - Tham, Yih-Chung A1 - Thiery, Joachim A1 - Thio, Chris H. L. A1 - Thomsen, Hauke A1 - Thorleifsson, Gudmar A1 - Toniolo, Daniela A1 - Tonjes, Anke A1 - Tremblay, Johanne A1 - Tzoulaki, Ioanna A1 - Uitterlinden, Andre G. A1 - Vaccargiu, Simona A1 - Van Dam, Rob M. A1 - Van der Harst, Pim A1 - Van Duijn, Cornelia M. A1 - Edward, Digna R. Velez A1 - Verweij, Niek A1 - Vogelezang, Suzanne A1 - Volker, Uwe A1 - Vollenweider, Peter A1 - Waeber, Gerard A1 - Waldenberger, Melanie A1 - Wallentin, Lars A1 - Wang, Ya Xing A1 - Wang, Chaolong A1 - Waterworth, Dawn M. A1 - Bin Wei, Wen A1 - White, Harvey A1 - Whitfield, John B. A1 - Wild, Sarah H. A1 - Wilson, James F. A1 - Wojczynski, Mary K. A1 - Wong, Charlene A1 - Wong, Tien-Yin A1 - Xu, Liang A1 - Yang, Qiong A1 - Yasuda, Masayuki A1 - Yerges-Armstrong, Laura M. A1 - Zhang, Weihua A1 - Zonderman, Alan B. A1 - Rotter, Jerome I. A1 - Bochud, Murielle A1 - Psaty, Bruce M. A1 - Vitart, Veronique A1 - Wilson, James G. A1 - Dehghan, Abbas A1 - Parsa, Afshin A1 - Chasman, Daniel I. A1 - Ho, Kevin A1 - Morris, Andrew P. A1 - Devuyst, Olivier A1 - Akilesh, Shreeram A1 - Pendergrass, Sarah A. A1 - Sim, Xueling A1 - Boger, Carsten A. A1 - Okada, Yukinori A1 - Edwards, Todd L. A1 - Snieder, Harold A1 - Stefansson, Kari A1 - Hung, Adriana M. A1 - Heid, Iris M. A1 - Scholz, Markus A1 - Teumer, Alexander A1 - Kottgen, Anna A1 - Pattaro, Cristian T1 - A catalog of genetic loci associated with kidney function from analyses of a million individuals JF - Nature genetics N2 - Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through transancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these,147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research. Y1 - 2019 U6 - https://doi.org/10.1038/s41588-019-0407-x SN - 1061-4036 SN - 1546-1718 VL - 51 IS - 6 SP - 957 EP - + PB - Nature Publ. Group CY - New York ER -