Attenzione: i dati modificati non sono ancora stati salvati. Per confermare inserimenti o cancellazioni di voci è necessario confermare con il tasto SALVA/INSERISCI in fondo alla pagina
IRIS - Res&Arch Institutional Research Information System - Research &Archive
BACKGROUND: Genetics and biology may influence the age of onset of anorexia nervosa (AN). The aims of this study were to determine whether common genetic variation contributes to age of onset of AN and to investigate the genetic associations between age of onset of AN and age at menarche.METHODS: A secondary analysis of the Psychiatric Genomics Consortium genome-wide association study (GWAS) of AN was performed, which included 9335 cases and 31,981 screened controls, all from European ancestries. We conducted GWASs of age of onset, early-onset AN (,13 years), and typical-onset AN, and genetic correlation, genetic risk score, and Mendelian randomization analyses.RESULTS: Two loci were genome-wide significant in the typical-onset AN GWAS. Heritability estimates (single nucleotide polymorphism-h2) were 0.01-0.04 for age of onset, 0.16-0.25 for early-onset AN, and 0.17-0.25 for typical-onset AN. Early-and typical-onset AN showed distinct genetic correlation patterns with putative risk factors for AN. Specifically, early-onset AN was significantly genetically correlated with younger age at menarche, and typical-onset AN was significantly negatively genetically correlated with anthropometric traits. Genetic risk scores for age of onset and early-onset AN estimated from independent GWASs significantly predicted age of onset. Mendelian randomization analysis suggested a causal link between younger age at menarche and early -onset AN.CONCLUSIONS: Our results provide evidence consistent with a common variant genetic basis for age of onset and implicate biological pathways regulating menarche and reproduction.
Common Genetic Variation and Age of Onset of Anorexia Nervosa
Watson, Hunna J;Thornton, Laura M;Yilmaz, Zeynep;Baker, Jessica H;Coleman, Jonathan R I;Adan, Roger A H;Alfredsson, Lars;Andreassen, Ole A;Ask, Helga;Berrettini, Wade H;Boehnke, Michael;Boehm, Ilka;Boni, Claudette;Buehren, Katharina;Bulant, Josef;Burghardt, Roland;Chang, Xiao;Cichon, Sven;Cone, Roger D;Courtet, Philippe;Crow, Scott;Crowley, James J;Danner, Unna N;de Zwaan, Martina;Dedoussis, George;DeSocio, Janiece E;Dick, Danielle M;Dikeos, Dimitris;Dina, Christian;Djurovic, Srdjan;Dmitrzak-Weglarz, Monika;Docampo-Martinez, Elisa;Duriez, Philibert;Egberts, Karin;Ehrlich, Stefan;Eriksson, Johan G;Escaramís, Geòrgia;Esko, Tõnu;Estivill, Xavier;Farmer, Anne;Fernández-Aranda, Fernando;Fichter, Manfred M;Föcker, Manuel;Foretova, Lenka;Forstner, Andreas J;Frei, Oleksandr;Gallinger, Steven;Giegling, Ina;Giuranna, Johanna;Gonidakis, Fragiskos;Gorwood, Philip;Gratacòs, Mònica;Guillaume, Sébastien;Guo, Yiran;Hakonarson, Hakon;Hauser, Joanna;Havdahl, Alexandra;Hebebrand, Johannes;Helder, Sietske G;Herms, Stefan;Herpertz-Dahlmann, Beate;Herzog, Wolfgang;Hinney, Anke;Hübel, Christopher;Hudson, James I;Imgart, Hartmut;Jamain, Stephanie;Janout, Vladimir;Jiménez-Murcia, Susana;Jones, Ian R;Julià, Antonio;Kalsi, Gursharan;Kaminská, Deborah;Kaprio, Jaakko;Karhunen, Leila;Kas, Martien J H;Keel, Pamela K;Kennedy, James L;Keski-Rahkonen, Anna;Kiezebrink, Kirsty;Klareskog, Lars;Klump, Kelly L;Knudsen, Gun Peggy S;La Via, Maria C;Le Hellard, Stephanie;Leboyer, Marion;Li, Dong;Lilenfeld, Lisa;Lin, Bochao;Lissowska, Jolanta;Luykx, Jurjen;Magistretti, Pierre;Maj, Mario;Marsal, Sara;Marshall, Christian R;Mattingsdal, Morten;Meulenbelt, Ingrid;Micali, Nadia;Mitchell, Karen S;Monteleone, Alessio Maria;Monteleone, Palmiero;Myers, Richard;Navratilova, Marie;Ntalla, Ionna;O'Toole, Julie K;Ophoff, Roel A;Padyukov, Leonid;Pantel, Jacques;Papežová, Hana;Pinto, Dalila;Raevuori, Anu;Ramoz, Nicolas;Reichborn-Kjennerud, Ted;Ricca, Valdo;Ripatti, Samuli;Ripke, Stephan;Ritschel, Franziska;Roberts, Marion;Rotondo, Alessandro;Rujescu, Dan;Rybakowski, Filip;Scherag, André;Scherer, Stephen W;Schmidt, Ulrike;Scott, Laura J;Seitz, Jochen;Silén, Yasmina;Šlachtová, Lenka;Slagboom, P Eline;Slof-Op 't Landt, Margarita C T;Slopien, Agnieszka;Sorbi, Sandro;Świątkowska, Beata;Tortorella, Alfonso;Tozzi, Federica;Treasure, Janet;Tsitsika, Artemis;Tyszkiewicz-Nwafor, Marta;Tziouvas, Konstantinos;van Elburg, Annemarie A;van Furth, Eric F;Walton, Esther;Widen, Elisabeth;Zerwas, Stephanie;Zipfel, Stephan;Bergen, Andrew W;Boden, Joseph M;Brandt, Harry;Crawford, Steven;Halmi, Katherine A;Horwood, L John;Johnson, Craig;Kaplan, Allan S;Kaye, Walter H;Mitchell, James E;Olsen, Catherine M;Pearson, John F;Pedersen, Nancy L;Strober, Michael;Werge, Thomas;Whiteman, David C;Woodside, D Blake;Gordon, Scott;Maguire, Sarah;Larsen, Janne T;Parker, Richard;Petersen, Liselotte V;Jordan, Jennifer;Kennedy, Martin;Wade, Tracey D;Birgegård, Andreas;Lichtenstein, Paul;Landén, Mikael;Martin, Nicholas G;Mortensen, Preben Bo;Breen, Gerome;Bulik, Cynthia M
2022
Abstract
BACKGROUND: Genetics and biology may influence the age of onset of anorexia nervosa (AN). The aims of this study were to determine whether common genetic variation contributes to age of onset of AN and to investigate the genetic associations between age of onset of AN and age at menarche.METHODS: A secondary analysis of the Psychiatric Genomics Consortium genome-wide association study (GWAS) of AN was performed, which included 9335 cases and 31,981 screened controls, all from European ancestries. We conducted GWASs of age of onset, early-onset AN (,13 years), and typical-onset AN, and genetic correlation, genetic risk score, and Mendelian randomization analyses.RESULTS: Two loci were genome-wide significant in the typical-onset AN GWAS. Heritability estimates (single nucleotide polymorphism-h2) were 0.01-0.04 for age of onset, 0.16-0.25 for early-onset AN, and 0.17-0.25 for typical-onset AN. Early-and typical-onset AN showed distinct genetic correlation patterns with putative risk factors for AN. Specifically, early-onset AN was significantly genetically correlated with younger age at menarche, and typical-onset AN was significantly negatively genetically correlated with anthropometric traits. Genetic risk scores for age of onset and early-onset AN estimated from independent GWASs significantly predicted age of onset. Mendelian randomization analysis suggested a causal link between younger age at menarche and early -onset AN.CONCLUSIONS: Our results provide evidence consistent with a common variant genetic basis for age of onset and implicate biological pathways regulating menarche and reproduction.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11391/1566239
Citazioni
4
9
10
social impact
Conferma cancellazione
Sei sicuro che questo prodotto debba essere cancellato?
simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.