TY  - JOUR
A1  - Taal, H. Rob
A1  - St Pourcain, Beate
A1  - Thiering, Elisabeth
A1  - Das, Shikta
A1  - Mook-Kanamori, Dennis O.
A1  - Warrington, Nicole M.
A1  - Kaakinen, Marika
A1  - Kreiner-Moller, Eskil
A1  - Bradfield, Jonathan P.
A1  - Freathy, Rachel M.
A1  - Geller, Frank
A1  - Guxens, Monica
A1  - Cousminer, Diana L.
A1  - Kerkhof, Marjan
A1  - Timpson, Nicholas J.
A1  - Ikram, M. Arfan
A1  - Beilin, Lawrence J.
A1  - Bonnelykke, Klaus
A1  - Buxton, Jessica L.
A1  - Charoen, Pimphen
A1  - Chawes, Bo Lund Krogsgaard
A1  - Eriksson, Johan
A1  - Evans, David M.
A1  - Hofman, Albert
A1  - Kemp, John P.
A1  - Kim, Cecilia E.
A1  - Klopp, Norman
A1  - Lahti, Jari
A1  - Lye, Stephen J.
A1  - McMahon, George
A1  - Mentch, Frank D.
A1  - Mueller-Nurasyid, Martina
A1  - O'Reilly, Paul F.
A1  - Prokopenko, Inga
A1  - Rivadeneira, Fernando
A1  - Steegers, Eric A. P.
A1  - Sunyer, Jordi
A1  - Tiesler, Carla
A1  - Yaghootkar, Hanieh
A1  - Breteler, Monique M. B.
A1  - Debette, Stephanie
A1  - Fornage, Myriam
A1  - Gudnason, Vilmundur
A1  - Launer, Lenore J.
A1  - van der Lugt, Aad
A1  - Mosley, Thomas H.
A1  - Seshadri, Sudha
A1  - Smith, Albert V.
A1  - Vernooij, Meike W.
A1  - Blakemore, Alexandra I. F.
A1  - Chiavacci, Rosetta M.
A1  - Feenstra, Bjarke
A1  - Fernandez-Banet, Julio
A1  - Grant, Struan F. A.
A1  - Hartikainen, Anna-Liisa
A1  - van der Heijden, Albert J.
A1  - Iniguez, Carmen
A1  - Lathrop, Mark
A1  - McArdle, Wendy L.
A1  - Molgaard, Anne
A1  - Newnham, John P.
A1  - Palmer, Lyle J.
A1  - Palotie, Aarno
A1  - Pouta, Annneli
A1  - Ring, Susan M.
A1  - Sovio, Ulla
A1  - Standl, Marie
A1  - Uitterlinden, Andre G.
A1  - Wichmann, H-Erich
A1  - Vissing, Nadja Hawwa
A1  - DeCarli, Charles
A1  - van Duijn, Cornelia M.
A1  - McCarthy, Mark I.
A1  - Koppelman, Gerard H.
A1  - Estivill, Xavier
A1  - Hattersley, Andrew T.
A1  - Melbye, Mads
A1  - Bisgaard, Hans
A1  - Pennell, Craig E.
A1  - Widen, Elisabeth
A1  - Hakonarson, Hakon
A1  - Smith, George Davey
A1  - Heinrich, Joachim
A1  - Jarvelin, Marjo-Riitta
A1  - Jaddoe, Vincent W. V.
A1  - Adair, Linda S.
A1  - Ang, Wei
A1  - Atalay, Mustafa
A1  - van Beijsterveldt, Toos
A1  - Bergen, Nienke
A1  - Benke, Kelly
A1  - Berry, Diane J.
A1  - Bradfield, Jonathan P.
A1  - Charoen, Pimphen
A1  - Coin, Lachlan
A1  - Cousminer, Diana L.
A1  - Das, Shikta
A1  - Davis, Oliver S. P.
A1  - Elliott, Paul
A1  - Evans, David M.
A1  - Feenstra, Bjarke
A1  - Flexeder, Claudia
A1  - Frayling, Tim
A1  - Freathy, Rachel M.
A1  - Gaillard, Romy
A1  - Geller, Frank
A1  - Groen-Blokhuis, Maria
A1  - Goh, Liang-Kee
A1  - Guxens, Monica
A1  - Haworth, Claire M. A.
A1  - Hadley, Dexter
A1  - Hebebrand, Johannes
A1  - Hinney, Anke
A1  - Hirschhorn, Joel N.
A1  - Holloway, John W.
A1  - Holst, Claus
A1  - Hottenga, Jouke Jan
A1  - Horikoshi, Momoko
A1  - Huikari, Ville
A1  - Hypponen, Elina
A1  - Iniguez, Carmen
A1  - Kaakinen, Marika
A1  - Kilpelainen, Tuomas O.
A1  - Kirin, Mirna
A1  - Kowgier, Matthew
A1  - Lakka, Hanna-Maaria
A1  - Lange, Leslie A.
A1  - Lawlor, Debbie A.
A1  - Lehtimaki, Terho
A1  - Lewin, Alex
A1  - Lindgren, Cecilia
A1  - Lindi, Virpi
A1  - Maggi, Reedik
A1  - Marsh, Julie
A1  - Middeldorp, Christel
A1  - Millwood, Iona
A1  - Mook-Kanamori, Dennis O.
A1  - Murray, Jeffrey C.
A1  - Nivard, Michel
A1  - Nohr, Ellen Aagaard
A1  - Ntalla, Ioanna
A1  - Oken, Emily
A1  - O'Reilly, Paul F.
A1  - Palmer, Lyle J.
A1  - Panoutsopoulou, Kalliope
A1  - Pararajasingham, Jennifer
A1  - Prokopenko, Inga
A1  - Rodriguez, Alina
A1  - Salem, Rany M.
A1  - Sebert, Sylvain
A1  - Siitonen, Niina
A1  - Sovio, Ulla
A1  - St Pourcain, Beate
A1  - Strachan, David P.
A1  - Sunyer, Jordi
A1  - Taal, H. Rob
A1  - Teo, Yik-Ying
A1  - Thiering, Elisabeth
A1  - Tiesler, Carla
A1  - Uitterlinden, Andre G.
A1  - Valcarcel, Beatriz
A1  - Warrington, Nicole M.
A1  - White, Scott
A1  - Willemsen, Gonneke
A1  - Yaghootkar, Hanieh
A1  - Zeggini, Eleftheria
A1  - Boomsma, Dorret I.
A1  - Cooper, Cyrus
A1  - Estivill, Xavier
A1  - Gillman, Matthew
A1  - Grant, Struan F. A.
A1  - Hakonarson, Hakon
A1  - Hattersley, Andrew T.
A1  - Heinrich, Joachim
A1  - Hocher, Berthold
A1  - Jaddoe, Vincent W. V.
A1  - Jarvelin, Marjo-Riitta
A1  - Lakka, Timo A.
A1  - McCarthy, Mark I.
A1  - Melbye, Mads
A1  - Mohlke, Karen L.
A1  - Dedoussis, George V.
A1  - Ong, Ken K.
A1  - Pearson, Ewan R.
A1  - Pennell, Craig E.
A1  - Price, Thomas S.
A1  - Power, Chris
A1  - Raitakari, Olli T.
A1  - Saw, Seang-Mei
A1  - Scherag, Andre
A1  - Simell, Olli
A1  - Sorensen, Thorkild I. A.
A1  - Timpson, Nicholas J.
A1  - Widen, Elisabeth
A1  - Wilson, James F.
A1  - Ang, Wei
A1  - van Beijsterveldt, Toos
A1  - Bergen, Nienke
A1  - Benke, Kelly
A1  - Berry, Diane J.
A1  - Bradfield, Jonathan P.
A1  - Charoen, Pimphen
A1  - Coin, Lachlan
A1  - Cousminer, Diana L.
A1  - Das, Shikta
A1  - Elliott, Paul
A1  - Evans, David M.
A1  - Frayling, Tim
A1  - Freathy, Rachel M.
A1  - Gaillard, Romy
A1  - Groen-Blokhuis, Maria
A1  - Guxens, Monica
A1  - Hadley, Dexter
A1  - Hottenga, Jouke Jan
A1  - Huikari, Ville
A1  - Hypponen, Elina
A1  - Kaakinen, Marika
A1  - Kowgier, Matthew
A1  - Lawlor, Debbie A.
A1  - Lewin, Alex
A1  - Lindgren, Cecilia
A1  - Marsh, Julie
A1  - Middeldorp, Christel
A1  - Millwood, Iona
A1  - Mook-Kanamori, Dennis O.
A1  - Nivard, Michel
A1  - O'Reilly, Paul F.
A1  - Palmer, Lyle J.
A1  - Prokopenko, Inga
A1  - Rodriguez, Alina
A1  - Sebert, Sylvain
A1  - Sovio, Ulla
A1  - St Pourcain, Beate
A1  - Standl, Marie
A1  - Strachan, David P.
A1  - Sunyer, Jordi
A1  - Taal, H. Rob
A1  - Thiering, Elisabeth
A1  - Tiesler, Carla
A1  - Uitterlinden, Andre G.
A1  - Valcarcel, Beatriz
A1  - Warrington, Nicole M.
A1  - White, Scott
A1  - Willemsen, Gonneke
A1  - Yaghootkar, Hanieh
A1  - Boomsma, Dorret I.
A1  - Estivill, Xavier
A1  - Grant, Struan F. A.
A1  - Hakonarson, Hakon
A1  - Hattersley, Andrew T.
A1  - Heinrich, Joachim
A1  - Jaddoe, Vincent W. V.
A1  - Jarvelin, Marjo-Riitta
A1  - McCarthy, Mark I.
A1  - Pennell, Craig E.
A1  - Power, Chris
A1  - Timpson, Nicholas J.
A1  - Widen, Elisabeth
A1  - Ikram, M. Arfan
A1  - Fornage, Myriam
A1  - Smith, Albert V.
A1  - Seshadri, Sudha
A1  - Schmidt, Reinhold
A1  - Debette, Stephanie
A1  - Vrooman, Henri A.
A1  - Sigurdsson, Sigurdur
A1  - Ropele, Stefan
A1  - Coker, Laura H.
A1  - Longstreth, W. T.
A1  - Niessen, Wiro J.
A1  - DeStefano, Anita L.
A1  - Beiser, Alexa
A1  - Zijdenbos, Alex P.
A1  - Struchalin, Maksim
A1  - Jack, Clifford R.
A1  - Nalls, Mike A.
A1  - Au, Rhoda
A1  - Hofman, Albert
A1  - Gudnason, Haukur
A1  - van der Lugt, Aad
A1  - Harris, Tamara B.
A1  - Meeks, William M.
A1  - Vernooij, Meike W.
A1  - van Buchem, Mark A.
A1  - Catellier, Diane
A1  - Gudnason, Vilmundur
A1  - Windham, B. Gwen
A1  - Wolf, Philip A.
A1  - van Duijn, Cornelia M.
A1  - Mosley, Thomas H.
A1  - Schmidt, Helena
A1  - Launer, Lenore J.
A1  - Breteler, Monique M. B.
A1  - DeCarli, Charles
T1  - Common variants at 12q15 and 12q24 are associated with infant head circumference
JF  - Nature genetics
N2  - To identify genetic variants associated with head circumference in infancy, we performed a meta-analysis of seven genome-wide association studies (GWAS) (N = 10,768 individuals of European ancestry enrolled in pregnancy and/or birth cohorts) and followed up three lead signals in six replication studies (combined N = 19,089). rs7980687 on chromosome 12q24 (P = 8.1 x 10(-9)) and rs1042725 on chromosome 12q15 (P = 2.8 x 10(-10)) were robustly associated with head circumference in infancy. Although these loci have previously been associated with adult height(1), their effects on infant head circumference were largely independent of height (P = 3.8 x 10(-7) for rs7980687 and P = 1.3 x 10(-7) for rs1042725 after adjustment for infant height). A third signal, rs11655470 on chromosome 17q21, showed suggestive evidence of association with head circumference (P = 3.9 x 10(-6)). SNPs correlated to the 17q21 signal have shown genome-wide association with adult intracranial volume(2), Parkinson's disease and other neurodegenerative diseases(3-5), indicating that a common genetic variant in this region might link early brain growth with neurological disease in later life.
Y1  - 2012
U6  - https://doi.org/10.1038/ng.2238
SN  - 1061-4036
VL  - 44
IS  - 5
SP  - 532
EP  - +
PB  - Nature Publ. Group
CY  - New York
ER  - 
TY  - JOUR
A1  - Horikoshi, Momoko
A1  - Yaghootkar, Hanieh
A1  - Mook-Kanamori, Dennis O.
A1  - Sovio, Ulla
A1  - Taal, H. Rob
A1  - Hennig, Branwen J.
A1  - Bradfield, Jonathan P.
A1  - St Pourcain, Beate
A1  - Evans, David M.
A1  - Charoen, Pimphen
A1  - Kaakinen, Marika
A1  - Cousminer, Diana L.
A1  - Lehtimaki, Terho
A1  - Kreiner-Moller, Eskil
A1  - Warrington, Nicole M.
A1  - Bustamante, Mariona
A1  - Feenstra, Bjarke
A1  - Berry, Diane J.
A1  - Thiering, Elisabeth
A1  - Pfab, Thiemo
A1  - Barton, Sheila J.
A1  - Shields, Beverley M.
A1  - Kerkhof, Marjan
A1  - van Leeuwen, Elisabeth M.
A1  - Fulford, Anthony J.
A1  - Kutalik, Zoltan
A1  - Zhao, Jing Hua
A1  - den Hoed, Marcel
A1  - Mahajan, Anubha
A1  - Lindi, Virpi
A1  - Goh, Liang-Kee
A1  - Hottenga, Jouke-Jan
A1  - Wu, Ying
A1  - Raitakari, Olli T.
A1  - Harder, Marie N.
A1  - Meirhaeghe, Aline
A1  - Ntalla, Ioanna
A1  - Salem, Rany M.
A1  - Jameson, Karen A.
A1  - Zhou, Kaixin
A1  - Monies, Dorota M.
A1  - Lagou, Vasiliki
A1  - Kirin, Mirna
A1  - Heikkinen, Jani
A1  - Adair, Linda S.
A1  - Alkuraya, Fowzan S.
A1  - Al-Odaib, Ali
A1  - Amouyel, Philippe
A1  - Andersson, Ehm Astrid
A1  - Bennett, Amanda J.
A1  - Blakemore, Alexandra I. F.
A1  - Buxton, Jessica L.
A1  - Dallongeville, Jean
A1  - Das, Shikta
A1  - de Geus, Eco J. C.
A1  - Estivill, Xavier
A1  - Flexeder, Claudia
A1  - Froguel, Philippe
A1  - Geller, Frank
A1  - Godfrey, Keith M.
A1  - Gottrand, Frederic
A1  - Groves, Christopher J.
A1  - Hansen, Torben
A1  - Hirschhorn, Joel N.
A1  - Hofman, Albert
A1  - Hollegaard, Mads V.
A1  - Hougaard, David M.
A1  - Hyppoenen, Elina
A1  - Inskip, Hazel M.
A1  - Isaacs, Aaron
A1  - Jorgensen, Torben
A1  - Kanaka-Gantenbein, Christina
A1  - Kemp, John P.
A1  - Kiess, Wieland
A1  - Kilpelainen, Tuomas O.
A1  - Klopp, Norman
A1  - Knight, Bridget A.
A1  - Kuzawa, Christopher W.
A1  - McMahon, George
A1  - Newnham, John P.
A1  - Niinikoski, Harri
A1  - Oostra, Ben A.
A1  - Pedersen, Louise
A1  - Postma, Dirkje S.
A1  - Ring, Susan M.
A1  - Rivadeneira, Fernando
A1  - Robertson, Neil R.
A1  - Sebert, Sylvain
A1  - Simell, Olli
A1  - Slowinski, Torsten
A1  - Tiesler, Carla M. T.
A1  - Toenjes, Anke
A1  - Vaag, Allan
A1  - Viikari, Jorma S.
A1  - Vink, Jacqueline M.
A1  - Vissing, Nadja Hawwa
A1  - Wareham, Nicholas J.
A1  - Willemsen, Gonneke
A1  - Witte, Daniel R.
A1  - Zhang, Haitao
A1  - Zhao, Jianhua
A1  - Wilson, James F.
A1  - Stumvoll, Michael
A1  - Prentice, Andrew M.
A1  - Meyer, Brian F.
A1  - Pearson, Ewan R.
A1  - Boreham, Colin A. G.
A1  - Cooper, Cyrus
A1  - Gillman, Matthew W.
A1  - Dedoussis, George V.
A1  - Moreno, Luis A.
A1  - Pedersen, Oluf
A1  - Saarinen, Maiju
A1  - Mohlke, Karen L.
A1  - Boomsma, Dorret I.
A1  - Saw, Seang-Mei
A1  - Lakka, Timo A.
A1  - Koerner, Antje
A1  - Loos, Ruth J. F.
A1  - Ong, Ken K.
A1  - Vollenweider, Peter
A1  - van Duijn, Cornelia M.
A1  - Koppelman, Gerard H.
A1  - Hattersley, Andrew T.
A1  - Holloway, John W.
A1  - Hocher, Berthold
A1  - Heinrich, Joachim
A1  - Power, Chris
A1  - Melbye, Mads
A1  - Guxens, Monica
A1  - Pennell, Craig E.
A1  - Bonnelykke, Klaus
A1  - Bisgaard, Hans
A1  - Eriksson, Johan G.
A1  - Widen, Elisabeth
A1  - Hakonarson, Hakon
A1  - Uitterlinden, Andre G.
A1  - Pouta, Anneli
A1  - Lawlor, Debbie A.
A1  - Smith, George Davey
A1  - Frayling, Timothy M.
A1  - McCarthy, Mark I.
A1  - Grant, Struan F. A.
A1  - Jaddoe, Vincent W. V.
A1  - Jarvelin, Marjo-Riitta
A1  - Timpson, Nicholas J.
A1  - Prokopenko, Inga
A1  - Freathy, Rachel M.
T1  - New loci associated with birth weight identify genetic links between intrauterine growth and adult height and metabolism
JF  - Nature genetics
N2  - Birth weight within the normal range is associated with a variety of adult-onset diseases, but the mechanisms behind these associations are poorly understood(1). Previous genome-wide association studies of birth weight identified a variant in the ADCY5 gene associated both with birth weight and type 2 diabetes and a second variant, near CCNL1, with no obvious link to adult traits(2). In an expanded genome-wide association metaanalysis and follow-up study of birth weight (of up to 69,308 individuals of European descent from 43 studies), we have now extended the number of loci associated at genome-wide significance to 7, accounting for a similar proportion of variance as maternal smoking. Five of the loci are known to be associated with other phenotypes: ADCY5 and CDKAL1 with type 2 diabetes, ADRB1 with adult blood pressure and HMGA2 and LCORL with adult height. Our findings highlight genetic links between fetal growth and postnatal growth and metabolism.
Y1  - 2013
U6  - https://doi.org/10.1038/ng.2477
SN  - 1061-4036
VL  - 45
IS  - 1
SP  - 76
EP  - U115
PB  - Nature Publ. Group
CY  - New York
ER  - 
TY  - JOUR
A1  - Warrington, Nicole
A1  - Beaumont, Robin
A1  - Horikoshi, Momoko
A1  - Day, Felix R.
A1  - Helgeland, Øyvind
A1  - Laurin, Charles
A1  - Bacelis, Jonas
A1  - Peng, Shouneng
A1  - Hao, Ke
A1  - Feenstra, Bjarke
A1  - Wood, Andrew R.
A1  - Mahajan, Anubha
A1  - Tyrrell, Jessica
A1  - Robertson, Neil R.
A1  - Rayner, N. William
A1  - Qiao, Zhen
A1  - Moen, Gunn-Helen
A1  - Vaudel, Marc
A1  - Marsit, Carmen
A1  - Chen, Jia
A1  - Nodzenski, Michael
A1  - Schnurr, Theresia M.
A1  - Zafarmand, Mohammad Hadi
A1  - Bradfield, Jonathan P.
A1  - Grarup, Niels
A1  - Kooijman, Marjolein N.
A1  - Li-Gao, Ruifang
A1  - Geller, Frank
A1  - Ahluwalia, Tarunveer Singh
A1  - Paternoster, Lavinia
A1  - Rueedi, Rico
A1  - Huikari, Ville
A1  - Hottenga, Jouke-Jan
A1  - Lyytikäinen, Leo-Pekka
A1  - Cavadino, Alana
A1  - Metrustry, Sarah
A1  - Cousminer, Diana L.
A1  - Wu, Ying
A1  - Thiering, Elisabeth Paula
A1  - Wang, Carol A.
A1  - Have, Christian Theil
A1  - Vilor-Tejedor, Natalia
A1  - Joshi, Peter K.
A1  - Painter, Jodie N.
A1  - Ntalla, Ioanna
A1  - Myhre, Ronny
A1  - Pitkänen, Niina
A1  - van Leeuwen, Elisabeth M.
A1  - Joro, Raimo
A1  - Lagou, Vasiliki
A1  - Richmond, Rebecca C.
A1  - Espinosa, Ana
A1  - Barton, Sheila J.
A1  - Inskip, Hazel M.
A1  - Holloway, John W.
A1  - Santa-Marina, Loreto
A1  - Estivill, Xavier
A1  - Ang, Wei
A1  - Marsh, Julie A.
A1  - Reichetzeder, Christoph
A1  - Marullo, Letizia
A1  - Hocher, Berthold
A1  - Lunetta, Kathryn L.
A1  - Murabito, Joanne M.
A1  - Relton, Caroline L.
A1  - Kogevinas, Manolis
A1  - Chatzi, Leda
A1  - Allard, Catherine
A1  - Bouchard, Luigi
A1  - Hivert, Marie-France
A1  - Zhang, Ge
A1  - Muglia, Louis J.
A1  - Heikkinen, Jani
A1  - Morgen, Camilla S.
A1  - van Kampen, Antoine H. C.
A1  - van Schaik, Barbera D. C.
A1  - Mentch, Frank D.
A1  - Langenberg, Claudia
A1  - Scott, Robert A.
A1  - Zhao, Jing Hua
A1  - Hemani, Gibran
A1  - Ring, Susan M.
A1  - Bennett, Amanda J.
A1  - Gaulton, Kyle J.
A1  - Fernandez-Tajes, Juan
A1  - van Zuydam, Natalie R.
A1  - Medina-Gomez, Carolina
A1  - de Haan, Hugoline G.
A1  - Rosendaal, Frits R.
A1  - Kutalik, Zoltán
A1  - Marques-Vidal, Pedro
A1  - Das, Shikta
A1  - Willemsen, Gonneke
A1  - Mbarek, Hamdi
A1  - Müller-Nurasyid, Martina
A1  - Standl, Marie
A1  - Appel, Emil V. R.
A1  - Fonvig, Cilius Esmann
A1  - Trier, Caecilie
A1  - van Beijsterveldt, Catharina E. M.
A1  - Murcia, Mario
A1  - Bustamante, Mariona
A1  - Bonàs-Guarch, Sílvia
A1  - Hougaard, David M.
A1  - Mercader, Josep M.
A1  - Linneberg, Allan
A1  - Schraut, Katharina E.
A1  - Lind, Penelope A.
A1  - Medland, Sarah Elizabeth
A1  - Shields, Beverley M.
A1  - Knight, Bridget A.
A1  - Chai, Jin-Fang
A1  - Panoutsopoulou, Kalliope
A1  - Bartels, Meike
A1  - Sánchez, Friman
A1  - Stokholm, Jakob
A1  - Torrents, David
A1  - Vinding, Rebecca K.
A1  - Willems, Sara M.
A1  - Atalay, Mustafa
A1  - Chawes, Bo L.
A1  - Kovacs, Peter
A1  - Prokopenko, Inga
A1  - Tuke, Marcus A.
A1  - Yaghootkar, Hanieh
A1  - Ruth, Katherine S.
A1  - Jones, Samuel E.
A1  - Loh, Po-Ru
A1  - Murray, Anna
A1  - Weedon, Michael N.
A1  - Tönjes, Anke
A1  - Stumvoll, Michael
A1  - Michaelsen, Kim Fleischer
A1  - Eloranta, Aino-Maija
A1  - Lakka, Timo A.
A1  - van Duijn, Cornelia M.
A1  - Kiess, Wieland
A1  - Koerner, Antje
A1  - Niinikoski, Harri
A1  - Pahkala, Katja
A1  - Raitakari, Olli T.
A1  - Jacobsson, Bo
A1  - Zeggini, Eleftheria
A1  - Dedoussis, George V.
A1  - Teo, Yik-Ying
A1  - Saw, Seang-Mei
A1  - Montgomery, Grant W.
A1  - Campbell, Harry
A1  - Wilson, James F.
A1  - Vrijkotte, Tanja G. M.
A1  - Vrijheid, Martine
A1  - de Geus, Eco J. C. N.
A1  - Hayes, M. Geoffrey
A1  - Kadarmideen, Haja N.
A1  - Holm, Jens-Christian
A1  - Beilin, Lawrence J.
A1  - Pennell, Craig E.
A1  - Heinrich, Joachim
A1  - Adair, Linda S.
A1  - Borja, Judith B.
A1  - Mohlke, Karen L.
A1  - Eriksson, Johan G.
A1  - Widen, Elisabeth E.
A1  - Hattersley, Andrew T.
A1  - Spector, Tim D.
A1  - Kaehoenen, Mika
A1  - Viikari, Jorma S.
A1  - Lehtimaeki, Terho
A1  - Boomsma, Dorret I.
A1  - Sebert, Sylvain
A1  - Vollenweider, Peter
A1  - Sorensen, Thorkild I. A.
A1  - Bisgaard, Hans
A1  - Bonnelykke, Klaus
A1  - Murray, Jeffrey C.
A1  - Melbye, Mads
A1  - Nohr, Ellen A.
A1  - Mook-Kanamori, Dennis O.
A1  - Rivadeneira, Fernando
A1  - Hofman, Albert
A1  - Felix, Janine F.
A1  - Jaddoe, Vincent W. V.
A1  - Hansen, Torben
A1  - Pisinger, Charlotta
A1  - Vaag, Allan A.
A1  - Pedersen, Oluf
A1  - Uitterlinden, Andre G.
A1  - Jarvelin, Marjo-Riitta
A1  - Power, Christine
A1  - Hypponen, Elina
A1  - Scholtens, Denise M.
A1  - Lowe, William L.
A1  - Smith, George Davey
A1  - Timpson, Nicholas J.
A1  - Morris, Andrew P.
A1  - Wareham, Nicholas J.
A1  - Hakonarson, Hakon
A1  - Grant, Struan F. A.
A1  - Frayling, Timothy M.
A1  - Lawlor, Debbie A.
A1  - Njolstad, Pal R.
A1  - Johansson, Stefan
A1  - Ong, Ken K.
A1  - McCarthy, Mark I.
A1  - Perry, John R. B.
A1  - Evans, David M.
A1  - Freathy, Rachel M.
T1  - Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors
JF  - Nature genetics
N2  - Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. In expanded genome-wide association analyses of own birth weight (n = 321,223) and offspring birth weight (n = 230,069 mothers), we identified 190 independent association signals (129 of which are novel). We used structural equation modeling to decompose the contributions of direct fetal and indirect maternal genetic effects, then applied Mendelian randomization to illuminate causal pathways. For example, both indirect maternal and direct fetal genetic effects drive the observational relationship between lower birth weight and higher later blood pressure: maternal blood pressure-raising alleles reduce offspring birth weight, but only direct fetal effects of these alleles, once inherited, increase later offspring blood pressure. Using maternal birth weight-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring blood pressure, indicating that the inverse birth weight-blood pressure association is attributable to genetic effects, and not to intrauterine programming.
Y1  - 2019
SN  - 1061-4036
SN  - 1546-1718
VL  - 51
IS  - 5
SP  - 804
EP  - +
PB  - Nature Publ. Group
CY  - New York
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  - Ikram, M. Arfan
A1  - Fornage, Myriam
A1  - Smith, Albert V.
A1  - Seshadri, Sudha
A1  - Schmidt, Reinhold
A1  - Debette, Stephanie
A1  - Vrooman, Henri A.
A1  - Sigurdsson, Sigurdur
A1  - Ropele, Stefan
A1  - Taal, H. Rob
A1  - Mook-Kanamori, Dennis O.
A1  - Coker, Laura H.
A1  - Longstreth, W. T.
A1  - Niessen, Wiro J.
A1  - DeStefano, Anita L.
A1  - Beiser, Alexa
A1  - Zijdenbos, Alex P.
A1  - Struchalin, Maksim
A1  - Jack, Clifford R.
A1  - Rivadeneira, Fernando
A1  - Uitterlinden, Andre G.
A1  - Knopman, David S.
A1  - Hartikainen, Anna-Liisa
A1  - Pennell, Craig E.
A1  - Thiering, Elisabeth
A1  - Steegers, Eric A. P.
A1  - Hakonarson, Hakon
A1  - Heinrich, Joachim
A1  - Palmer, Lyle J.
A1  - Jarvelin, Marjo-Riitta
A1  - McCarthy, Mark I.
A1  - Grant, Struan F. A.
A1  - St Pourcain, Beate
A1  - Timpson, Nicholas J.
A1  - Smith, George Davey
A1  - Sovio, Ulla
A1  - Nalls, Mike A.
A1  - Au, Rhoda
A1  - Hofman, Albert
A1  - Gudnason, Haukur
A1  - van der Lugt, Aad
A1  - Harris, Tamara B.
A1  - Meeks, William M.
A1  - Vernooij, Meike W.
A1  - van Buchem, Mark A.
A1  - Catellier, Diane
A1  - Jaddoe, Vincent W. V.
A1  - Gudnason, Vilmundur
A1  - Windham, B. Gwen
A1  - Wolf, Philip A.
A1  - van Duijn, Cornelia M.
A1  - Mosley, Thomas H.
A1  - Schmidt, Helena
A1  - Launer, Lenore J.
A1  - Breteler, Monique M. B.
A1  - DeCarli, Charles
A1  - Adair, Linda S.
A1  - Ang, Wei
A1  - Atalay, Mustafa
A1  - vanBeijsterveldt, Toos
A1  - Bergen, Nienke
A1  - Benke, Kelly
A1  - Berry, Diane J.
A1  - Coin, Lachlan
A1  - Davis, Oliver S. P.
A1  - Elliott, Paul
A1  - Flexeder, Claudia
A1  - Frayling, Tim
A1  - Gaillard, Romy
A1  - Groen-Blokhuis, Maria
A1  - Goh, Liang-Kee
A1  - Haworth, Claire M. A.
A1  - Hadley, Dexter
A1  - Hebebrand, Johannes
A1  - Hinney, Anke
A1  - Hirschhorn, Joel N.
A1  - Holloway, John W.
A1  - Holst, Claus
A1  - Hottenga, Jouke Jan
A1  - Horikoshi, Momoko
A1  - Huikari, Ville
A1  - Hypponen, Elina
A1  - Kilpelainen, Tuomas O.
A1  - Kirin, Mirna
A1  - Kowgier, Matthew
A1  - Lakka, Hanna-Maaria
A1  - Lange, Leslie A.
A1  - Lawlor, Debbie A.
A1  - Lehtimaki, Terho
A1  - Lewin, Alex
A1  - Lindgren, Cecilia
A1  - Lindi, Virpi
A1  - Maggi, Reedik
A1  - Marsh, Julie
A1  - Middeldorp, Christel
A1  - Millwood, Iona
A1  - Murray, Jeffrey C.
A1  - Nivard, Michel
A1  - Nohr, Ellen Aagaard
A1  - Ntalla, Ioanna
A1  - Oken, Emily
A1  - Panoutsopoulou, Kalliope
A1  - Pararajasingham, Jennifer
A1  - Rodriguez, Alina
A1  - Salem, Rany M.
A1  - Sebert, Sylvain
A1  - Siitonen, Niina
A1  - Strachan, David P.
A1  - Teo, Yik-Ying
A1  - Valcarcel, Beatriz
A1  - Willemsen, Gonneke
A1  - Zeggini, Eleftheria
A1  - Boomsma, Dorret I.
A1  - Cooper, Cyrus
A1  - Gillman, Matthew
A1  - Hocher, Berthold
A1  - Lakka, Timo A.
A1  - Mohlke, Karen L.
A1  - Dedoussis, George V.
A1  - Ong, Ken K.
A1  - Pearson, Ewan R.
A1  - Price, Thomas S.
A1  - Power, Chris
A1  - Raitakari, Olli T.
A1  - Saw, Seang-Mei
A1  - Scherag, Andre
A1  - Simell, Olli
A1  - Sorensen, Thorkild I. A.
A1  - Wilson, James F.
T1  - Common variants at 6q22 and 17q21 are associated with intracranial volume
JF  - Nature genetics
N2  - During aging, intracranial volume remains unchanged and represents maximally attained brain size, while various interacting biological phenomena lead to brain volume loss. Consequently, intracranial volume and brain volume in late life reflect different genetic influences. Our genome-wide association study (GWAS) in 8,175 community-dwelling elderly persons did not reveal any associations at genome-wide significance (P < 5 x 10(-8)) for brain volume. In contrast, intracranial volume was significantly associated with two loci: rs4273712 (P = 3.4 x 10(-11)), a known height-associated locus on chromosome 6q22, and rs9915547 (P = 1.5 x 10(-12)), localized to the inversion on chromosome 17q21. We replicated the associations of these loci with intracranial volume in a separate sample of 1,752 elderly persons (P = 1.1 x 10(-3) for 6q22 and 1.2 x 10(-3) for 17q21). Furthermore, we also found suggestive associations of the 17q21 locus with head circumference in 10,768 children (mean age of 14.5 months). Our data identify two loci associated with head size, with the inversion at 17q21 also likely to be involved in attaining maximal brain size.
Y1  - 2012
U6  - https://doi.org/10.1038/ng.2245
SN  - 1061-4036
VL  - 44
IS  - 5
SP  - 539
EP  - +
PB  - Nature Publ. Group
CY  - New York
ER  - 
TY  - JOUR
A1  - Janssen, Annette B. G.
A1  - Arhonditsis, George B.
A1  - Beusen, Arthur
A1  - Bolding, Karsten
A1  - Bruce, Louise
A1  - Bruggeman, Jorn
A1  - Couture, Raoul-Marie
A1  - Downing, Andrea S.
A1  - Elliott, J. Alex
A1  - Frassl, Marieke A.
A1  - Gal, Gideon
A1  - Gerla, Daan J.
A1  - Hipsey, Matthew R.
A1  - Hu, Fenjuan
A1  - Ives, Stephen C.
A1  - Janse, Jan H.
A1  - Jeppesen, Erik
A1  - Joehnk, Klaus D.
A1  - Kneis, David
A1  - Kong, Xiangzhen
A1  - Kuiper, Jan J.
A1  - Lehmann, Moritz K.
A1  - Lemmen, Carsten
A1  - Oezkundakci, Deniz
A1  - Petzoldt, Thomas
A1  - Rinke, Karsten
A1  - Robson, Barbara J.
A1  - Sachse, Rene
A1  - Schep, Sebastiaan A.
A1  - Schmid, Martin
A1  - Scholten, Huub
A1  - Teurlincx, Sven
A1  - Trolle, Dennis
A1  - Troost, Tineke A.
A1  - Van Dam, Anne A.
A1  - Van Gerven, Luuk P. A.
A1  - Weijerman, Mariska
A1  - Wells, Scott A.
A1  - Mooij, Wolf M.
T1  - Exploring, exploiting and evolving diversity of aquatic ecosystem models: a community perspective
JF  - Aquatic ecology : the international forum covering research in freshwater and marine environments
N2  - Here, we present a community perspective on how to explore, exploit and evolve the diversity in aquatic ecosystem models. These models play an important role in understanding the functioning of aquatic ecosystems, filling in observation gaps and developing effective strategies for water quality management. In this spirit, numerous models have been developed since the 1970s. We set off to explore model diversity by making an inventory among 42 aquatic ecosystem modellers, by categorizing the resulting set of models and by analysing them for diversity. We then focus on how to exploit model diversity by comparing and combining different aspects of existing models. Finally, we discuss how model diversity came about in the past and could evolve in the future. Throughout our study, we use analogies from biodiversity research to analyse and interpret model diversity. We recommend to make models publicly available through open-source policies, to standardize documentation and technical implementation of models, and to compare models through ensemble modelling and interdisciplinary approaches. We end with our perspective on how the field of aquatic ecosystem modelling might develop in the next 5-10 years. To strive for clarity and to improve readability for non-modellers, we include a glossary.
KW  - Water quality
KW  - Ecology
KW  - Geochemistry
KW  - Hydrology
KW  - Hydraulics
KW  - Hydrodynamics
KW  - Physical environment
KW  - Socio-economics
KW  - Model availability
KW  - Standardization
KW  - Linking
Y1  - 2015
U6  - https://doi.org/10.1007/s10452-015-9544-1
SN  - 1386-2588
SN  - 1573-5125
VL  - 49
IS  - 4
SP  - 513
EP  - 548
PB  - Springer
CY  - Dordrecht
ER  - 
TY  - JOUR
A1  - Ye, S. -Y.
A1  - Kurth, William S.
A1  - Hospodarsky, George B.
A1  - Persoon, Ann M.
A1  - Gurnett, Don A.
A1  - Morooka, Michiko
A1  - Wahlund, Jan-Erik
A1  - Hsu, Hsiang-Wen
A1  - Seiss, Martin
A1  - Srama, Ralf
T1  - Cassini RPWS dust observation near the Janus/Epimetheus orbit
JF  - Journal of geophysical research : Space physics
N2  - During the Ring Grazing orbits near the end of Cassini mission, the spacecraft crossed the equatorial plane near the orbit of Janus/Epimetheus (similar to 2.5 Rs). This region is populated with dust particles that can be detected by the Radio and Plasma Wave Science (RPWS) instrument via an electric field antenna signal. Analysis of the voltage waveforms recorded on the RPWS antennas provides estimations of the density and size distribution of the dust particles. Measured RPWS profiles, fitted with Lorentzian functions, are shown to be mostly consistent with the Cosmic Dust Analyzer, the dedicated dust instrument on board Cassini. The thickness of the dusty ring varies between 600 and 1,000 km. The peak location shifts north and south within 100 km of the ring plane, likely a function of the precession phase of Janus orbit.
KW  - Saturn
KW  - dust
KW  - ring
Y1  - 2018
U6  - https://doi.org/10.1029/2017JA025112
SN  - 2169-9380
SN  - 2169-9402
VL  - 123
IS  - 6
SP  - 4952
EP  - 4960
PB  - American Geophysical Union
CY  - Washington
ER  - 
TY  - JOUR
A1  - Ye, Shengyi
A1  - Kurth, William S.
A1  - Hospodarsky, George B.
A1  - Persoon, Ann M.
A1  - Sulaiman, Ali H.
A1  - Gurnett, Don A.
A1  - Morooka, Michiko
A1  - Wahlund, Jan-Erik
A1  - Hsu, Hsiang-Wen
A1  - Sternovsky, Zoltan
A1  - Wang, Xu
A1  - Horanyi, M.
A1  - Seiss, Martin
A1  - Srama, Ralf
T1  - Dust Observations by the Radio and Plasma Wave Science Instrument During
JF  - Geophysical research letters
N2  - Plain Language Summary Cassini flew through the gap between Saturn and its rings for 22 times before plunging into the atmosphere of Saturn, ending its 20-year mission. The radio and plasma waves instrument on board Cassini helped quantify the dust hazard in this previously unexplored region. The measured density of large dust particles was much lower than expected, allowing high-value science observations during the subsequent Grand Finale orbits.
Y1  - 2018
U6  - https://doi.org/10.1029/2018GL078059
SN  - 0094-8276
SN  - 1944-8007
VL  - 45
IS  - 19
SP  - 10101
EP  - 10109
PB  - American Geophysical Union
CY  - Washington
ER  - 
TY  - GEN
A1  - Mooij, Wolf M.
A1  - Trolle, Dennis
A1  - Jeppesen, Erik
A1  - Arhonditsis, George B.
A1  - Belolipetsky, Pavel V.
A1  - Chitamwebwa, Deonatus B. R.
A1  - Degermendzhy, Andrey G.
A1  - DeAngelis, Donald L.
A1  - Domis, Lisette Nicole de Senerpont
A1  - Downing, Andrea S.
A1  - Elliott, J. Alex
A1  - Fragoso Jr., Carlos Ruberto
A1  - Gaedke, Ursula
A1  - Genova, Svetlana N.
A1  - Gulati, Ramesh D.
A1  - Håkanson, Lars
A1  - Hamilton, David P.
A1  - Hipsey, Matthew R.
A1  - ‘t Hoen, Jochem
A1  - Hülsmann, Stephan
A1  - Los, F. Hans
A1  - Makler-Pick, Vardit
A1  - Petzoldt, Thomas
A1  - Prokopkin, Igor G.
A1  - Rinke, Karsten
A1  - Schep, Sebastiaan A.
A1  - Tominaga, Koji
A1  - Van Dam, Anne A.
A1  - Van Nes, Egbert H.
A1  - Wells, Scott A.
A1  - Janse, Jan H.
T1  - Challenges and opportunities for integrating lake ecosystem modelling approaches
T2  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
N2  - A large number and wide variety of lake ecosystem models have been developed and published during the past four decades. We identify two challenges for making further progress in this field. One such challenge is to avoid developing more models largely following the concept of others ('reinventing the wheel'). The other challenge is to avoid focusing on only one type of model, while ignoring new and diverse approaches that have become available ('having tunnel vision'). In this paper, we aim at improving the awareness of existing models and knowledge of concurrent approaches in lake ecosystem modelling, without covering all possible model tools and avenues. First, we present a broad variety of modelling approaches. To illustrate these approaches, we give brief descriptions of rather arbitrarily selected sets of specific models. We deal with static models (steady state and regression models), complex dynamic models (CAEDYM, CE-QUAL-W2, Delft 3D-ECO, LakeMab, LakeWeb, MyLake, PCLake, PROTECH, SALMO), structurally dynamic models and minimal dynamic models. We also discuss a group of approaches that could all be classified as individual based: super-individual models (Piscator, Charisma), physiologically structured models, stage-structured models and traitbased models. We briefly mention genetic algorithms, neural networks, Kalman filters and fuzzy logic. Thereafter, we zoom in, as an in-depth example, on the multi-decadal development and application of the lake ecosystem model PCLake and related models (PCLake Metamodel, Lake Shira Model, IPH-TRIM3D-PCLake). In the discussion, we argue that while the historical development of each approach and model is understandable given its 'leading principle', there are many opportunities for combining approaches. We take the point of view that a single 'right' approach does not exist and should not be strived for. Instead, multiple modelling approaches, applied concurrently to a given problem, can help develop an integrative view on the functioning of lake ecosystems. We end with a set of specific recommendations that may be of help in the further development of lake ecosystem models.
T3  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1326 
KW  - aquatic
KW  - food web dynamics
KW  - plankton
KW  - nutrients
KW  - spatial
KW  - lake
KW  - freshwater
KW  - marine
KW  - community
KW  - population
KW  - hydrology
KW  - eutrophication
KW  - global change
KW  - climate warming
KW  - fisheries
KW  - biodiversity
KW  - management
KW  - mitigation
KW  - adaptive processes
KW  - non-linear dynamics
KW  - analysis
KW  - bifurcation
KW  - understanding
KW  - prediction
KW  - model limitations
KW  - model integration
Y1  - 2010
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-429839
SN  - 1866-8372
IS  - 1326
ER  - 
TY  - JOUR
A1  - Mooij, Wolf M.
A1  - Trolle, Dennis
A1  - Jeppesen, Erik
A1  - Arhonditsis, George B.
A1  - Belolipetsky, Pavel V.
A1  - Chitamwebwa, Deonatus B. R.
A1  - Degermendzhy, Andrey G.
A1  - DeAngelis, Donald L.
A1  - Domis, Lisette Nicole de Senerpont
A1  - Downing, Andrea S.
A1  - Elliott, J. Alex
A1  - Fragoso Jr, Carlos Ruberto
A1  - Gaedke, Ursula
A1  - Genova, Svetlana N.
A1  - Gulati, Ramesh D.
A1  - Håkanson, Lars
A1  - Hamilton, David P.
A1  - Hipsey, Matthew R.
A1  - ‘t Hoen, Jochem
A1  - Hülsmann, Stephan
A1  - Los, F. Hans
A1  - Makler-Pick, Vardit
A1  - Petzoldt, Thomas
A1  - Prokopkin, Igor G.
A1  - Rinke, Karsten
A1  - Schep, Sebastiaan A.
A1  - Tominaga, Koji
A1  - Van Dam, Anne A.
A1  - Van Nes, Egbert H.
A1  - Wells, Scott A.
A1  - Janse, Jan H.
T1  - Challenges and opportunities for integrating lake ecosystem modelling approaches
JF  - Aquatic ecology
N2  - A large number and wide variety of lake ecosystem models have been developed and published during the past four decades. We identify two challenges for making further progress in this field. One such challenge is to avoid developing more models largely following the concept of others ('reinventing the wheel'). The other challenge is to avoid focusing on only one type of model, while ignoring new and diverse approaches that have become available ('having tunnel vision'). In this paper, we aim at improving the awareness of existing models and knowledge of concurrent approaches in lake ecosystem modelling, without covering all possible model tools and avenues. First, we present a broad variety of modelling approaches. To illustrate these approaches, we give brief descriptions of rather arbitrarily selected sets of specific models. We deal with static models (steady state and regression models), complex dynamic models (CAEDYM, CE-QUAL-W2, Delft 3D-ECO, LakeMab, LakeWeb, MyLake, PCLake, PROTECH, SALMO), structurally dynamic models and minimal dynamic models. We also discuss a group of approaches that could all be classified as individual based: super-individual models (Piscator, Charisma), physiologically structured models, stage-structured models and traitbased models. We briefly mention genetic algorithms, neural networks, Kalman filters and fuzzy logic. Thereafter, we zoom in, as an in-depth example, on the multi-decadal development and application of the lake ecosystem model PCLake and related models (PCLake Metamodel, Lake Shira Model, IPH-TRIM3D-PCLake). In the discussion, we argue that while the historical development of each approach and model is understandable given its 'leading principle', there are many opportunities for combining approaches. We take the point of view that a single 'right' approach does not exist and should not be strived for. Instead, multiple modelling approaches, applied concurrently to a given problem, can help develop an integrative view on the functioning of lake ecosystems. We end with a set of specific recommendations that may be of help in the further development of lake ecosystem models.
KW  - aquatic
KW  - food web dynamics
KW  - plankton
KW  - nutrients
KW  - spatial
KW  - lake
KW  - freshwater
KW  - marine
KW  - community
KW  - population
KW  - hydrology
KW  - eutrophication
KW  - global change
KW  - climate warming
KW  - fisheries
KW  - biodiversity
KW  - management
KW  - mitigation
KW  - adaptive processes
KW  - non-linear dynamics
KW  - analysis
KW  - bifurcation
KW  - understanding
KW  - prediction
KW  - model limitations
KW  - model integration
Y1  - 2010
U6  - https://doi.org/10.1007/s10452-010-9339-3
SN  - 1573-5125
SN  - 1386-2588
VL  - 44
SP  - 633
EP  - 667
PB  - Springer Science + Business Media B.V.
CY  - Dordrecht
ER  - 
TY  - JOUR
A1  - De Frenne, Pieter
A1  - Rodriguez-Sanchez, Francisco
A1  - Coomes, David Anthony
A1  - Bäten, Lander
A1  - Versträten, Gorik
A1  - Vellend, Mark
A1  - Bernhardt-Römermann, Markus
A1  - Brown, Carissa D.
A1  - Brunet, Jörg
A1  - Cornelis, Johnny
A1  - Decocq, Guillaume M.
A1  - Dierschke, Hartmut
A1  - Eriksson, Ove
A1  - Gilliam, Frank S.
A1  - Hedl, Radim
A1  - Heinken, Thilo
A1  - Hermy, Martin
A1  - Hommel, Patrick
A1  - Jenkins, Michael A.
A1  - Kelly, Daniel L.
A1  - Kirby, Keith J.
A1  - Mitchell, Fraser J. G.
A1  - Naaf, Tobias
A1  - Newman, Miles
A1  - Peterken, George
A1  - Petrik, Petr
A1  - Schultz, Jan
A1  - Sonnier, Gregory
A1  - Van Calster, Hans
A1  - Waller, Donald M.
A1  - Walther, Gian-Reto
A1  - White, Peter S.
A1  - Woods, Kerry D.
A1  - Wulf, Monika
A1  - Graae, Bente Jessen
A1  - Verheyen, Kris
T1  - Microclimate moderates plant responses to macroclimate warming
JF  - Proceedings of the National Academy of Sciences of the United States of America
N2  - Recent global warming is acting across marine, freshwater, and terrestrial ecosystems to favor species adapted to warmer conditions and/or reduce the abundance of cold-adapted organisms (i.e., "thermophilization" of communities). Lack of community responses to increased temperature, however, has also been reported for several taxa and regions, suggesting that "climatic lags" may be frequent. Here we show that microclimatic effects brought about by forest canopy closure can buffer biotic responses to macroclimate warming, thus explaining an apparent climatic lag. Using data from 1,409 vegetation plots in European and North American temperate forests, each surveyed at least twice over an interval of 12-67 y, we document significant thermophilization of ground-layer plant communities. These changes reflect concurrent declines in species adapted to cooler conditions and increases in species adapted to warmer conditions. However, thermophilization, particularly the increase of warm-adapted species, is attenuated in forests whose canopies have become denser, probably reflecting cooler growing-season ground temperatures via increased shading. As standing stocks of trees have increased in many temperate forests in recent decades, local microclimatic effects may commonly be moderating the impacts of macroclimate warming on forest understories. Conversely, increases in harvesting woody biomass-e.g., for bioenergy-may open forest canopies and accelerate thermophilization of temperate forest biodiversity.
KW  - climate change
KW  - forest management
KW  - understory
KW  - climatic debt
KW  - range shifts
Y1  - 2013
U6  - https://doi.org/10.1073/pnas.1311190110
SN  - 0027-8424
VL  - 110
IS  - 46
SP  - 18561
EP  - 18565
PB  - National Acad. of Sciences
CY  - Washington
ER  - 
TY  - JOUR
A1  - Amberg, Maximilian
A1  - aus dem Moore, Nils
A1  - Bekk, Anke
A1  - Bergmann, Tobias
A1  - Edenhofer, Ottmar
A1  - Flachsland, Christian
A1  - George, Jan
A1  - Haywood, Luke
A1  - Heinemann, Maik
A1  - Held, Anne
A1  - Kalkuhl, Matthias
A1  - Kellner, Maximilian
A1  - Koch, Nicolas
A1  - Luderer, Gunnar
A1  - Meyer, Henrika
A1  - Nikodinoska, Dragana
A1  - Pahle, Michael
A1  - Roolfs, Christina
A1  - Schill, Wolf-Peter
T1  - Reformoptionen für ein nachhaltiges Steuer- und Abgabensystem
BT  - wie Lenkungssteuern effektiv und gerecht für den Klima- und Umweltschutz ausgestaltet werden können
JF  - Perspektiven der Wirtschaftspolitik
N2  - Steuern und Abgaben auf Produkte oder Verbrauch mit gesellschaftlichen Folgekosten (externe Kosten) – sogenannte Pigou- oder Lenkungssteuern – sind ein gesellschaftliches „Win-Win-Instrument“. Sie verbessern die Wohlfahrt und schützen gleichzeitig die Umwelt und das Klima. Dies wird erreicht, indem umweltschädigende Aktivitäten einen Preis bekommen, der möglichst exakt der Höhe des Schadens entspricht. Eine konsequente Bepreisung der externen Kosten nach diesem Prinzip könnte in Deutschland erhebliche zusätzliche Einnahmen erbringen: Basierend auf bisherigen Studien zu externen Kosten wären zusätzliche Einnahmen in der Größenordnung von 348 bis 564 Milliarden Euro pro Jahr (44 bis 71 Prozent der gesamten Steuereinnahmen) möglich. Die Autoren warnen allerdings, dass die Bezifferung der externen Kosten mit erheblichen Unsicherheiten verbunden ist. Damit Lenkungssteuern und -abgaben ihre positiven Lenkungs- und Wohlstandseffekte voll entfalten können, seien zudem institutionelle Reformen notwendig.
KW  - Externalitäten
KW  - Pigou-Steuern
KW  - Nachhaltige Steuerreform
KW  - Energiewende
Y1  - 2022
U6  - https://doi.org/10.1515/pwp-2021-0051
SN  - 1465-6493
SN  - 1468-2516
VL  - 23
IS  - 3
SP  - 165
EP  - 199
PB  - De Gruyter
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Breuer, Lutz
A1  - Willems, Patrick
A1  - Bormann, Helge
A1  - Bronstert, Axel
A1  - Croke, Barry
A1  - Frede, Hans Georg
A1  - Gräff, Thomas
A1  - Hubrechts, Lode
A1  - Kite, Geoffrey
A1  - Lanini, Jordan
A1  - Leavesley, George
A1  - Lettenmaier, Dennis P.
A1  - Lindstroem, Goeran
A1  - Seibert, Jan
A1  - Sivapalan, Mayuran
A1  - Viney, Neil R.
T1  - Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM) : I: model intercomparison with current land use
N2  - This paper introduces the project on 'Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM)' that aims at investigating the envelope of predictions on changes in hydrological fluxes due to land use change. As part of a series of four papers, this paper outlines the motivation and setup of LUCHEM, and presents a model intercomparison for the present-day simulation results. Such an intercomparison provides a valuable basis to investigate the effects of different model structures on model predictions and paves the ground for the analysis of the performance of multi-model ensembles and the reliability of the scenario predictions in companion papers. in this study, we applied a set of 10 lumped, semi-lumped and fully distributed hydrological models that have been previously used in land use change studies to the low mountainous Dill catchment. Germany. Substantial differences in model performance were observed with Nash-Sutcliffe efficiencies ranging from 0.53 to 0.92. Differences in model performance were attributed to (1) model input data, (2) model calibration and (3) the physical basis of the models. The models were applied with two sets of input data: an original and a homogenized data set. This homogenization of precipitation, temperature and leaf area index was performed to reduce the variation between the models. Homogenization improved the comparability of model simulations and resulted in a reduced average bias, although some variation in model data input remained. The effect of the physical differences between models on the long-term water balance was mainly attributed to differences in how models represent evapotranspiration. Semi-lumped and lumped conceptual models slightly outperformed the fully distributed and physically based models. This was attributed to the automatic model calibration typically used for this type of models. Overall, however, we conclude that there was no superior model if several measures of model performance are considered and that all models are suitable to participate in further multi-model ensemble set-ups and land use change scenario investigations.
Y1  - 2009
UR  - http://www.sciencedirect.com/science/journal/03091708
U6  - https://doi.org/10.1016/j.advwatres.2008.10.003
SN  - 0309-1708
ER  - 
TY  - JOUR
A1  - Breuer, Lutz
A1  - Bormann, Helge
A1  - Bronstert, Axel
A1  - Croke, Barry F. W.
A1  - Frede, Hans-Georg
A1  - Gräff, Thomas
A1  - Hubrechts, Lode
A1  - Kite, Geoffrey
A1  - Lanini, Jordan
A1  - Leavesley, George
A1  - Lettenmaier, Dennis P.
A1  - Lindstroem, Goeran
A1  - Seibert, Jan
A1  - Sivapalan, Mayuran
A1  - Viney, Neil R.
A1  - Willems, Patrick
T1  - Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM) III : scenario analysis
N2  - An ensemble of 10 hydrological models was applied to the same set of land use change scenarios. There was general agreement about the direction of changes in the mean annual discharge and 90% discharge percentile predicted by the ensemble members, although a considerable range in the magnitude of predictions for the scenarios and catchments under consideration was obvious. Differences in the magnitude of the increase were attributed to the different mean annual actual evapotranspiration rates for each land use type. The ensemble of model runs was further analyzed with deterministic and probabilistic ensemble methods. The deterministic ensemble method based on a trimmed mean resulted in a single somewhat more reliable scenario prediction. The probabilistic reliability ensemble averaging (REA) method allowed a quantification of the model structure uncertainty in the scenario predictions. It was concluded that the use of a model ensemble has greatly increased our confidence in the reliability of the model predictions.
Y1  - 2009
UR  - http://www.sciencedirect.com/science/journal/03091708
U6  - https://doi.org/10.1016/j.advwatres.2008.06.009
SN  - 0309-1708
ER  - 
TY  - JOUR
A1  - Marce, Rafael
A1  - George, Glen
A1  - Buscarinu, Paola
A1  - Deidda, Melania
A1  - Dunalska, Julita
A1  - de Eyto, Elvira
A1  - Flaim, Giovanna
A1  - Grossart, Hans-Peter
A1  - Istvanovics, Vera
A1  - Lenhardt, Mirjana
A1  - Moreno-Ostos, Enrique
A1  - Obrador, Biel
A1  - Ostrovsky, Ilia
A1  - Pierson, Donald C.
A1  - Potuzak, Jan
A1  - Poikane, Sandra
A1  - Rinke, Karsten
A1  - Rodriguez-Mozaz, Sara
A1  - Staehr, Peter A.
A1  - Sumberova, Katerina
A1  - Waajen, Guido
A1  - Weyhenmeyer, Gesa A.
A1  - Weathers, Kathleen C.
A1  - Zion, Mark
A1  - Ibelings, Bas W.
A1  - Jennings, Eleanor
T1  - Automatic High Frequency Monitoring for Improved Lake and Reservoir Management
JF  - Frontiers in plant science
N2  - Recent technological developments have increased the number of variables being monitored in lakes and reservoirs using automatic high frequency monitoring (AHFM). However, design of AHFM systems and posterior data handling and interpretation are currently being developed on a site-by-site and issue-by-issue basis with minimal standardization of protocols or knowledge sharing. As a result, many deployments become short-lived or underutilized, and many new scientific developments that are potentially useful for water management and environmental legislation remain underexplored. This Critical Review bridges scientific uses of AHFM with their applications by providing an overview of the current AHFM capabilities, together with examples of successful applications. We review the use of AHFM for maximizing the provision of ecosystem services supplied, by lakes and reservoirs (consumptive and non consumptive uses, food production, and recreation), and for reporting lake status in the EU Water Framework Directive. We also highlight critical issues to enhance the application of AHFM, and suggest the establishment of appropriate networks to facilitate knowledge sharing and technological transfer between potential users. Finally, we give advice on how modern sensor technology can successfully be applied on a larger scale to the management of lakes and reservoirs and maximize the ecosystem services they provide.
Y1  - 2016
U6  - https://doi.org/10.1021/acs.est.6b01604
SN  - 0013-936X
SN  - 1520-5851
VL  - 50
SP  - 10780
EP  - 10794
PB  - American Chemical Society
CY  - Washington
ER  - 
TY  - JOUR
A1  - Viney, Neil R.
A1  - Bormann, Helge
A1  - Breuer, Lutz
A1  - Bronstert, Axel
A1  - Croke, Barry F. W.
A1  - Frede, Hans-Georg
A1  - Gräff, Thomas
A1  - Hubrechts, Lode
A1  - Huisman, Johan A.
A1  - Jakeman, Anthony J.
A1  - Kite, Geoffrey W.
A1  - Lanini, Jordan
A1  - Leavesley, George
A1  - Lettenmaier, Dennis P.
A1  - Lindstroem, Goeran
A1  - Seibert, Jan
A1  - Sivapalan, Murugesu
A1  - Willems, Patrick
T1  - Assessing the impact of land use change on hydrology by ensemble modelling (LUCHEM) II : ensemble combinations and predictions
N2  - This paper reports on a project to compare predictions from a range of catchment models applied to a mesoscale river basin in central Germany and to assess various ensemble predictions of catchment streamflow. The models encompass a large range in inherent complexity and input requirements. In approximate order of decreasing complexity, they are DHSVM, MIKE-SHE, TOPLATS, WASIM-ETH, SWAT, PRMS, SLURP, HBV, LASCAM and IHACRES. The models are calibrated twice using different sets of input data. The two predictions from each model are then combined by simple averaging to produce a single-model ensemble. The 10 resulting single-model ensembles are combined in various ways to produce multi-model ensemble predictions. Both the single-model ensembles and the multi-model ensembles are shown to give predictions that are generally superior to those of their respective constituent models, both during a 7-year calibration period and a 9- year validation period. This occurs despite a considerable disparity in performance of the individual models. Even the weakest of models is shown to contribute useful information to the ensembles they are part of. The best model combination methods are a trimmed mean (constructed using the central four or six predictions each day) and a weighted mean ensemble (with weights calculated from calibration performance) that places relatively large weights on the better performing models. Conditional ensembles. in which separate model weights are used in different system states (e.g. summer and winter, high and low flows) generally yield little improvement over the weighted mean ensemble. However a conditional ensemble that discriminates between rising and receding flows shows moderate improvement. An analysis of ensemble predictions shows that the best ensembles are not necessarily those containing the best individual models. Conversely, it appears that some models that predict well individually do not necessarily combine well with other models in multi-model ensembles. The reasons behind these observations may relate to the effects of the weighting schemes, non- stationarity of the climate series and possible cross-correlations between models.
Y1  - 2009
UR  - http://www.sciencedirect.com/science/journal/03091708
U6  - https://doi.org/10.1016/j.advwatres.2008.05.006
SN  - 0309-1708
ER  -