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  - 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  - 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  - 
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  - Abdrakhmatov, Kanatbek E.
A1  - Walker, R. T.
A1  - Campbell, G. E.
A1  - Carr, A. S.
A1  - Elliott, A.
A1  - Hillemann, Christian
A1  - Hollingsworth, J.
A1  - Landgraf, Angela
A1  - Mackenzie, D.
A1  - Mukambayev, A.
A1  - Rizza, M.
A1  - Sloan, R. A.
T1  - Multisegment rupture in the 11 July 1889 Chilik earthquake (M-w 8.0-8.3), Kazakh Tien Shan, interpreted from remote sensing, field survey, and paleoseismic trenching
JF  - Journal of geophysical research : Solid earth
N2  - The 11 July 1889 Chilik earthquake (M-w 8.0-8.3) forms part of a remarkable sequence of large earthquakes in the late nineteenth and early twentieth centuries in the northern Tien Shan. Despite its importance, the source of the 1889 earthquake remains unknown, though the macroseismic epicenter is sited in the Chilik valley, similar to 100 km southeast of Almaty, Kazakhstan (similar to 2 million population). Several short fault segments that have been inferred to have ruptured in 1889 are too short on their own to account for the estimated magnitude. In this paper we perform detailed surveying and trenching of the similar to 30 km long Saty fault, one of the previously inferred sources, and find that it was formed in a single earthquake within the last 700 years, involving surface slip of up to 10 m. The scarp-forming event, likely to be the 1889 earthquake, was the only surface-rupturing event for at least 5000 years and potentially for much longer. From satellite imagery we extend the mapped length of fresh scarps within the 1889 epicentral zone to a total of similar to 175 km, which we also suggest as candidate ruptures from the 1889 earthquake. The 175 km of rupture involves conjugate oblique left-lateral and right-lateral slip on three separate faults, with step overs of several kilometers between them. All three faults were essentially invisible in the Holocene geomorphology prior to the last slip. The recurrence interval between large earthquakes on any of these faults, and presumably on other faults of the Tien Shan, may be longer than the timescale over which the landscape is reset, providing a challenge for delineating sources of future hazard.
Y1  - 2016
U6  - https://doi.org/10.1002/2015JB012763
SN  - 2169-9313
SN  - 2169-9356
VL  - 121
SP  - 4615
EP  - 4640
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  - GEN
A1  - Frieler, Katja
A1  - Levermann, Anders
A1  - Elliott, J.
A1  - Heinke, J.
A1  - Arneth, A.
A1  - Bierkens, M. F. P.
A1  - Ciais, Philippe
A1  - Clark, D. B.
A1  - Deryng, D.
A1  - Doell, P.
A1  - Falloon, P.
A1  - Fekete, B.
A1  - Folberth, Christian
A1  - Friend, A. D.
A1  - Gellhorn, C.
A1  - Gosling, S. N.
A1  - Haddeland, I.
A1  - Khabarov, N.
A1  - Lomas, M.
A1  - Masaki, Y.
A1  - Nishina, K.
A1  - Neumann, K.
A1  - Oki, T.
A1  - Pavlick, R.
A1  - Ruane, A. C.
A1  - Schmid, E.
A1  - Schmitz, C.
A1  - Stacke, T.
A1  - Stehfest, E.
A1  - Tang, Q.
A1  - Wisser, D.
A1  - Huber, V.
A1  - Piontek, Franziska
A1  - Warszawski, L.
A1  - Schewe, Jacob
A1  - Lotze-Campen, Hermann
A1  - Schellnhuber, Hans Joachim
T1  - A framework for the cross-sectoral integration of multi-model impact projections
BT  - land use decisions under climate impacts uncertainties
T2  - Earth system dynamics
N2  - Climate change and its impacts already pose considerable challenges for societies that will further increase with global warming (IPCC, 2014a, b). Uncertainties of the climatic response to greenhouse gas emissions include the potential passing of large-scale tipping points (e.g. Lenton et al., 2008; Levermann et al., 2012; Schellnhuber, 2010) and changes in extreme meteorological events (Field et al., 2012) with complex impacts on societies (Hallegatte et al., 2013). Thus climate change mitigation is considered a necessary societal response for avoiding uncontrollable impacts (Conference of the Parties, 2010). On the other hand, large-scale climate change mitigation itself implies fundamental changes in, for example, the global energy system. The associated challenges come on top of others that derive from equally important ethical imperatives like the fulfilment of increasing food demand that may draw on the same resources. For example, ensuring food security for a growing population may require an expansion of cropland, thereby reducing natural carbon sinks or the area available for bio-energy production. So far, available studies addressing this problem have relied on individual impact models, ignoring uncertainty in crop model and biome model projections. Here, we propose a probabilistic decision framework that allows for an evaluation of agricultural management and mitigation options in a multi-impact-model setting. Based on simulations generated within the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP), we outline how cross-sectorally consistent multi-model impact simulations could be used to generate the information required for robust decision making.

Using an illustrative future land use pattern, we discuss the trade-off between potential gains in crop production and associated losses in natural carbon sinks in the new multiple crop-and biome-model setting. In addition, crop and water model simulations are combined to explore irrigation increases as one possible measure of agricultural intensification that could limit the expansion of cropland required in response to climate change and growing food demand. This example shows that current impact model uncertainties pose an important challenge to long-term mitigation planning and must not be ignored in long-term strategic decision making.
T3  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 457 
KW  - global food demand
KW  - water availability
KW  - elevated CO2
KW  - future
KW  - carbon
KW  - system
KW  - productivity
KW  - agriculture
KW  - emissions
KW  - scarcity
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-407968
ER  - 
TY  - JOUR
A1  - Frieler, Katja
A1  - Levermann, Anders
A1  - Elliott, J.
A1  - Heinke, Jens
A1  - Arneth, A.
A1  - Bierkens, M. F. P.
A1  - Ciais, Philippe
A1  - Clark, D. B.
A1  - Deryng, D.
A1  - Doell, P.
A1  - Falloon, P.
A1  - Fekete, B.
A1  - Folberth, Christian
A1  - Friend, A. D.
A1  - Gellhorn, C.
A1  - Gosling, S. N.
A1  - Haddeland, I.
A1  - Khabarov, N.
A1  - Lomas, M.
A1  - Masaki, Y.
A1  - Nishina, K.
A1  - Neumann, K.
A1  - Oki, T.
A1  - Pavlick, R.
A1  - Ruane, A. C.
A1  - Schmid, E.
A1  - Schmitz, C.
A1  - Stacke, T.
A1  - Stehfest, E.
A1  - Tang, Q.
A1  - Wisser, D.
A1  - Huber, Veronika
A1  - Piontek, Franziska
A1  - Warszawski, Lila
A1  - Schewe, Jacob
A1  - Lotze-Campen, Hermann
A1  - Schellnhuber, Hans Joachim
T1  - A framework for the cross-sectoral integration of multi-model impact projections
BT  - land use decisions under climate impacts uncertainties
JF  - Earth system dynamics
N2  - Climate change and its impacts already pose considerable challenges for societies that will further increase with global warming (IPCC, 2014a, b). Uncertainties of the climatic response to greenhouse gas emissions include the potential passing of large-scale tipping points (e.g. Lenton et al., 2008; Levermann et al., 2012; Schellnhuber, 2010) and changes in extreme meteorological events (Field et al., 2012) with complex impacts on societies (Hallegatte et al., 2013). Thus climate change mitigation is considered a necessary societal response for avoiding uncontrollable impacts (Conference of the Parties, 2010). On the other hand, large-scale climate change mitigation itself implies fundamental changes in, for example, the global energy system. The associated challenges come on top of others that derive from equally important ethical imperatives like the fulfilment of increasing food demand that may draw on the same resources. For example, ensuring food security for a growing population may require an expansion of cropland, thereby reducing natural carbon sinks or the area available for bio-energy production. So far, available studies addressing this problem have relied on individual impact models, ignoring uncertainty in crop model and biome model projections. Here, we propose a probabilistic decision framework that allows for an evaluation of agricultural management and mitigation options in a multi-impact-model setting. Based on simulations generated within the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP), we outline how cross-sectorally consistent multi-model impact simulations could be used to generate the information required for robust decision making.
 Using an illustrative future land use pattern, we discuss the trade-off between potential gains in crop production and associated losses in natural carbon sinks in the new multiple crop-and biome-model setting. In addition, crop and water model simulations are combined to explore irrigation increases as one possible measure of agricultural intensification that could limit the expansion of cropland required in response to climate change and growing food demand. This example shows that current impact model uncertainties pose an important challenge to long-term mitigation planning and must not be ignored in long-term strategic decision making.
Y1  - 2015
U6  - https://doi.org/10.5194/esd-6-447-2015
SN  - 2190-4979
SN  - 2190-4987
VL  - 6
IS  - 2
SP  - 447
EP  - 460
PB  - Copernicus
CY  - Göttingen
ER  - 
TY  - JOUR
A1  - Frieler, Katja
A1  - Schauberger, Bernhard
A1  - Arneth, Almut
A1  - Balkovic, Juraj
A1  - Chryssanthacopoulos, James
A1  - Deryng, Delphine
A1  - Elliott, Joshua
A1  - Folberth, Christian
A1  - Khabarov, Nikolay
A1  - Müller, Christoph
A1  - Olin, Stefan
A1  - Pugh, Thomas A. M.
A1  - Schaphoff, Sibyll
A1  - Schewe, Jacob
A1  - Schmid, Erwin
A1  - Warszawski, Lila
A1  - Levermann, Anders
T1  - Understanding the weather signal in national crop-yield variability
JF  - Earths future
N2  - Year-to-year variations in crop yields can have major impacts on the livelihoods of subsistence farmers and may trigger significant global price fluctuations, with severe consequences for people in developing countries. Fluctuations can be induced by weather conditions, management decisions, weeds, diseases, and pests. Although an explicit quantification and deeper understanding of weather-induced crop-yield variability is essential for adaptation strategies, so far it has only been addressed by empirical models. Here, we provide conservative estimates of the fraction of reported national yield variabilities that can be attributed to weather by state-of-the-art, process-based crop model simulations. We find that observed weather variations can explain more than 50% of the variability in wheat yields in Australia, Canada, Spain, Hungary, and Romania. For maize, weather sensitivities exceed 50% in seven countries, including the United States. The explained variance exceeds 50% for rice in Japan and South Korea and for soy in Argentina. Avoiding water stress by simulating yields assuming full irrigation shows that water limitation is a major driver of the observed variations in most of these countries. Identifying the mechanisms leading to crop-yield fluctuations is not only fundamental for dampening fluctuations, but is also important in the context of the debate on the attribution of loss and damage to climate change. Since process-based crop models not only account for weather influences on crop yields, but also provide options to represent human-management measures, they could become essential tools for differentiating these drivers, and for exploring options to reduce future yield fluctuations.
Y1  - 2017
U6  - https://doi.org/10.1002/2016EF000525
SN  - 2328-4277
VL  - 5
SP  - 605
EP  - 616
PB  - Wiley
CY  - Hoboken
ER  -