Browsing by Author "Banaj, Nerisa"

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    Brain-age prediction: Systematic evaluation of site effects, and sample age range and size
    (Wiley, 2024) Yu, Yuetong; Cui, Hao-Qi; Haas, Shalaila S.; New, Faye; Sanford, Nicole; Yu, Kevin; Zhan, Denghuang; Yang, Guoyuan; Gao, Jia-Hong; Wei, Dongtao; Qiu, Jiang; Banaj, Nerisa; Boomsma, Dorret I.; Breier, Alan; Brodaty, Henry; Buckner, Randy L.; Buitelaar, Jan K.; Cannon, Dara M.; Caseras, Xavier; Clark, Vincent P.; Conrod, Patricia J.; Crivello, Fabrice; Crone, Eveline A.; Dannlowski, Udo; Davey, Christopher G.; de Haan, Lieuwe; de Zubicaray, Greig I.; Di Giorgio, Annabella; Fisch, Lukas; Fisher, Simon E.; Franke, Barbara; Glahn, David C.; Grotegerd, Dominik; Gruber, Oliver; Gur, Raquel E.; Gur, Ruben C.; Hahn, Tim; Harrison, Ben J.; Hatton, Sean; Hickie, Ian B.; Hulshoff Pol, Hilleke E.; Jamieson, Alec J.; Jernigan, Terry L.; Jiang, Jiyang; Kalnin, Andrew J.; Kang, Sim; Kochan, Nicole A.; Kraus, Anna; Lagopoulos, Jim; Lazaro, Luisa; McDonald, Brenna C.; McDonald, Colm; McMahon, Katie L.; Mwangi, Benson; Piras, Fabrizio; Rodriguez-Cruces, Raul; Royer, Jessica; Sachdev, Perminder S.; Satterthwaite, Theodore D.; Saykin, Andrew J.; Schumann, Gunter; Sevaggi, Pierluigi; Smoller, Jordan W.; Soares, Jair C.; Spalletta, Gianfranco; Tamnes, Christian K.; Trollor, Julian N.; Van't Ent, Dennis; Vecchio, Daniela; Walter, Henrik; Wang, Yang; Weber, Bernd; Wen, Wei; Wierenga, Lara M.; Williams, Steven C. R.; Wu, Mon-Ju; Zunta-Soares, Giovana B.; Bernhardt, Boris; Thompson, Paul; Frangou, Sophia; Ge, Ruiyang; ENIGMA-Lifespan Working Group; Psychiatry, School of Medicine
    Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain-age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain-age has highlighted the need for robust and publicly available brain-age models pre-trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain-age model. Here we expand this work to develop, empirically validate, and disseminate a pre-trained brain-age model to cover most of the human lifespan. To achieve this, we selected the best-performing model after systematically examining the impact of seven site harmonization strategies, age range, and sample size on brain-age prediction in a discovery sample of brain morphometric measures from 35,683 healthy individuals (age range: 5-90 years; 53.59% female). The pre-trained models were tested for cross-dataset generalizability in an independent sample comprising 2101 healthy individuals (age range: 8-80 years; 55.35% female) and for longitudinal consistency in a further sample comprising 377 healthy individuals (age range: 9-25 years; 49.87% female). This empirical examination yielded the following findings: (1) the accuracy of age prediction from morphometry data was higher when no site harmonization was applied; (2) dividing the discovery sample into two age-bins (5-40 and 40-90 years) provided a better balance between model accuracy and explained age variance than other alternatives; (3) model accuracy for brain-age prediction plateaued at a sample size exceeding 1600 participants. These findings have been incorporated into CentileBrain (https://centilebrain.org/#/brainAGE2), an open-science, web-based platform for individualized neuroimaging metrics.
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    Genome-wide association study identifies 30 obsessive-compulsive disorder associated loci
    (medRxiv, 2024-03-13) Strom, Nora I.; Gerring, Zachary F.; Galimberti, Marco; Yu, Dongmei; Halvorsen, Matthew W.; Abdellaoui, Abdel; Rodriguez-Fontenla, Cristina; Sealock, Julia M.; Bigdeli, Tim; Coleman, Jonathan R.; Mahjani, Behrang; Thorp, Jackson G.; Bey, Katharina; Burton, Christie L.; Luykx, Jurjen J.; Zai, Gwyneth; Alemany, Silvia; Andre, Christine; Askland, Kathleen D.; Banaj, Nerisa; Barlassina, Cristina; Becker Nissen, Judith; Bienvenu, O. Joseph; Black, Donald; Bloch, Michael H.; Boberg, Julia; Børte, Sigrid; Bosch, Rosa; Breen, Michael; Brennan, Brian P.; Brentani, Helena; Buxbaum, Joseph D.; Bybjerg-Grauholm, Jonas; Byrne, Enda M.; Cabana-Dominguez, Judith; Camarena, Beatriz; Camarena, Adrian; Cappi, Carolina; Carracedo, Angel; Casas, Miguel; Cavallini, Maria Cristina; Ciullo, Valentina; Cook, Edwin H.; Crosby, Jesse; Cullen, Bernadette A.; De Schipper, Elles J.; Delorme, Richard; Djurovic, Srdjan; Elias, Jason A.; Estivill, Xavier; Falkenstein, Martha J.; Fundin, Bengt T.; Garner, Lauryn; German, Chris; Gironda, Christina; Goes, Fernando S.; Grados, Marco A.; Grove, Jakob; Guo, Wei; Haavik, Jan; Hagen, Kristen; Harrington, Kelly; Havdahl, Alexandra; Höffler, Kira D.; Hounie, Ana G.; Hucks, Donald; Hultman, Christina; Janecka, Magdalena; Jenike, Eric; Karlsson, Elinor K.; Kelley, Kara; Klawohn, Julia; Krasnow, Janice E.; Krebs, Kristi; Lange, Christoph; Lanzagorta, Nuria; Levey, Daniel; Lindblad-Toh, Kerstin; Macciardi, Fabio; Maher, Brion; Mathes, Brittany; McArthur, Evonne; McGregor, Nathaniel; McLaughlin, Nicole C.; Meier, Sandra; Miguel, Euripedes C.; Mulhern, Maureen; Nestadt, Paul S.; Nurmi, Erika L.; O'Connell, Kevin S.; Osiecki, Lisa; Ousdal, Olga Therese; Palviainen, Teemu; Pedersen, Nancy L.; Piras, Fabrizio; Piras, Federica; Potluri, Sriramya; Rabionet, Raquel; Ramirez, Alfredo; Rauch, Scott; Reichenberg, Abraham; Riddle, Mark A.; Ripke, Stephan; Rosário, Maria C.; Sampaio, Aline S.; Schiele, Miriam A.; Skogholt, Anne Heidi; Sloofman, Laura G.; Smit, Jan; Soler, Artigas María; Thomas, Laurent F.; Tifft, Eric; Vallada, Homero; van Kirk, Nathanial; Veenstra-VanderWeele, Jeremy; Vulink, Nienke N.; Walker, Christopher P.; Wang, Ying; Wendland, Jens R.; Winsvold, Bendik S.; Yao, Yin; Zhou, Hang; 23andMe Research Team; VA Million Veteran Program; Estonian Biobank; CoGa research team; iPSYCH; HUNT research team; NORDiC research team; Agrawal, Arpana; Alonso, Pino; Berberich, Götz; Bucholz, Kathleen K.; Bulik, Cynthia M.; Cath, Danielle; Denys, Damiaan; Eapen, Valsamma; Edenberg, Howard; Falkai, Peter; Fernandez, Thomas V.; Fyer, Abby J.; Gaziano, J. M.; Geller, Dan A.; Grabe, Hans J.; Greenberg, Benjamin D.; Hanna, Gregory L.; Hickie, Ian B.; Hougaard, David M.; Kathmann, Norbert; Kennedy, James; Lai, Dongbing; Landén, Mikael; Le Hellard, Stéphanie; Leboyer, Marion; Lochner, Christine; McCracken, James T.; Medland, Sarah E.; Mortensen, Preben B.; Neale, Benjamin M.; Nicolini, Humberto; Nordentoft, Merete; Pato, Michele; Pato, Carlos; Pauls, David L.; Piacentini, John; Pittenger, Christopher; Posthuma, Danielle; Ramos-Quiroga, Josep Antoni; Rasmussen, Steven A.; Richter, Margaret A.; Rosenberg, David R.; Ruhrmann, Stephan; Samuels, Jack F.; Sandin, Sven; Sandor, Paul; Spalletta, Gianfranco; Stein, Dan J.; Stewart, S. Evelyn; Storch, Eric A.; Stranger, Barbara E.; Turiel, Maurizio; Werge, Thomas; Andreassen, Ole A.; Børglum, Anders D.; Walitza, Susanne; Hveem, Kristian; Hansen, Bjarne K.; Rück, Christian P.; Martin, Nicholas G.; Milani, Lili; Mors, Ole; Reichborn-Kjennerud, Ted; Ribasés, Marta; Kvale, Gerd; Mataix-Cols, David; Domschke, Katharina; Grünblatt, Edna; Wagner, Michael; Zwart, John-Anker; Breen, Gerome; Nestadt, Gerald; Kaprio, Jaakko; Arnold, Paul D.; Grice, Dorothy E.; Knowles, James A.; Ask, Helga; Verweij, Karin J.; Davis, Lea K.; Smit, Dirk J.; Crowley, James J.; Scharf, Jeremiah M.; Stein, Murray B.; Gelernter, Joel; Mathews, Carol A.; Derks, Eske M.; Mattheisen, Manuel; Biochemistry and Molecular Biology, School of Medicine
    Obsessive-compulsive disorder (OCD) affects ~1% of the population and exhibits a high SNP-heritability, yet previous genome-wide association studies (GWAS) have provided limited information on the genetic etiology and underlying biological mechanisms of the disorder. We conducted a GWAS meta-analysis combining 53,660 OCD cases and 2,044,417 controls from 28 European-ancestry cohorts revealing 30 independent genome-wide significant SNPs and a SNP-based heritability of 6.7%. Separate GWAS for clinical, biobank, comorbid, and self-report sub-groups found no evidence of sample ascertainment impacting our results. Functional and positional QTL gene-based approaches identified 249 significant candidate risk genes for OCD, of which 25 were identified as putatively causal, highlighting WDR6, DALRD3, CTNND1 and genes in the MHC region. Tissue and single-cell enrichment analyses highlighted hippocampal and cortical excitatory neurons, along with D1- and D2-type dopamine receptor-containing medium spiny neurons, as playing a role in OCD risk. OCD displayed significant genetic correlations with 65 out of 112 examined phenotypes. Notably, it showed positive genetic correlations with all included psychiatric phenotypes, in particular anxiety, depression, anorexia nervosa, and Tourette syndrome, and negative correlations with a subset of the included autoimmune disorders, educational attainment, and body mass index. This study marks a significant step toward unraveling its genetic landscape and advances understanding of OCD genetics, providing a foundation for future interventions to address this debilitating disorder.
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    Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging
    (Springer Nature, 2017-09) Petrov, Dmitry; Gutman, Boris A.; Yu, Shih-Hua (Julie); van Erp, Theo G.M.; Turner, Jessica A.; Schmaal, Lianne; Veltman, Dick; Wang, Lei; Alpert, Kathryn; Isaev, Dmitry; Zavaliangos-Petropulu, Artemis; Ching, Christopher R.K.; Calhoun, Vince; Glahn, David; Satterthwaite, Theodore D.; Andreasen, Ole Andreas; Borgwardt, Stefan; Howells, Fleur; Groenewold, Nynke; Voineskos, Aristotle; Radua, Joaquim; Potkin, Steven G.; Crespo-Facorro, Benedicto; Tordesillas-Gutirrez, Diana; Shen, Li; Lebedeva, Irina; Spalletta, Gianfranco; Donohoe, Gary; Kochunov, Peter; Rosa, Pedro G.P.; James, Anthony; Dannlowski, Udo; Baune, Berhard T.; Aleman, Andre; Gotlib, Ian H.; Walter, Henrik; Walter, Martin; Soares, Jair C.; Ehrlich, Stefan; Gur, Ruben C.; Doan, N. Trung; Agartz, Ingrid; Westlye, Lars T.; Harrisberger, Fabienne; Richer-Rossler, Anita; Uhlmann, Anne; Stein, Dan J.; Dickie, Erin W.; Pomarol-Clotet, Edith; Fuentes-Claramonte, Paola; Canales-Rodriguez, Erick Jorge; Salvador, Raymond; Huang, Alexander J.; Roiz-Santianez, Roberto; Cong, Shan; Tomyshev, Alexander; Piras, Fabrizio; Vecchio, Daniela; Banaj, Nerisa; Ciullo, Valentina; Hong, Elliot; Busatto, Geraldo; Zanetti, Marcus V.; Serpa, Mauricio H.; Cervenka, Simon; Kelly, Sinead; Grotegerd, Dominik; Sacchet, Matthew D.; Veer, Illya M.; Li, Meng; Wu, Mon-Ju; Irungu, Benson; Walton, Esther; Thompson, Paul M.; Medicine, School of Medicine
    As very large studies of complex neuroimaging phenotypes become more common, human quality assessment of MRI-derived data remains one of the last major bottlenecks. Few attempts have so far been made to address this issue with machine learning. In this work, we optimize predictive models of quality for meshes representing deep brain structure shapes. We use standard vertex-wise and global shape features computed homologously across 19 cohorts and over 7500 human-rated subjects, training kernelized Support Vector Machine and Gradient Boosted Decision Trees classifiers to detect meshes of failing quality. Our models generalize across datasets and diseases, reducing human workload by 30-70%, or equivalently hundreds of human rater hours for datasets of comparable size, with recall rates approaching inter-rater reliability.
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    New insights into the genetic etiology of Alzheimer's disease and related dementias
    (Springer Nature, 2022) Bellenguez, Céline; Küçükali, Fahri; Jansen, Iris E.; Kleineidam, Luca; Moreno-Grau, Sonia; Amin, Najaf; Naj, Adam C.; Campos-Martin, Rafael; Grenier-Boley, Benjamin; Andrade, Victor; Holmans, Peter A.; Boland, Anne; Damotte, Vincent; van der Lee, Sven J.; Costa, Marcos R.; Kuulasmaa, Teemu; Yang, Qiong; de Rojas, Itziar; Bis, Joshua C.; Yaqub, Amber; Prokic, Ivana; Chapuis, Julien; Ahmad, Shahzad; Giedraitis, Vilmantas; Aarsland, Dag; Garcia-Gonzalez, Pablo; Abdelnour, Carla; Alarcón-Martín, Emilio; Alcolea, Daniel; Alegret, Montserrat; Alvarez, Ignacio; Álvarez, Victoria; Armstrong, Nicola J.; Tsolaki, Anthoula; Antúnez, Carmen; Appollonio, Ildebrando; Arcaro, Marina; Archetti, Silvana; Arias Pastor, Alfonso; Arosio, Beatrice; Athanasiu, Lavinia; Bailly, Henri; Banaj, Nerisa; Baquero, Miquel; Barral, Sandra; Beiser, Alexa; Belén Pastor, Ana; Below, Jennifer E.; Benchek, Penelope; Benussi, Luisa; Berr, Claudine; Besse, Céline; Bessi, Valentina; Binetti, Giuliano; Bizarro, Alessandra; Blesa, Rafael; Boada, Mercè; Boerwinkle, Eric; Borroni, Barbara; Boschi, Silvia; Bossù, Paola; Bråthen, Geir; Bressler, Jan; Bresner, Catherine; Brodaty, Henry; Brookes, Keeley J.; Brusco, Luis Ignacio; Buiza-Rueda, Dolores; Bûrger, Katharina; Burholt, Vanessa; Bush, William S.; Calero, Miguel; Cantwell, Laura B.; Chene, Geneviève; Chung, Jaeyoon; Cuccaro, Michael L.; Carracedo, Ángel; Cecchetti, Roberta; Cervera-Carles, Laura; Charbonnier, Camille; Chen, Hung-Hsin; Chillotti, Caterina; Ciccone, Simona; Claassen, Jurgen A. H. R.; Clark, Christopher; Conti, Elisa; Corma-Gómez, Anaïs; Costantini, Emanuele; Custodero, Carlo; Daian, Delphine; Dalmasso, Maria Carolina; Daniele, Antonio; Dardiotis, Efthimios; Dartigues, Jean-François; de Deyn, Peter Paul; de Paiva Lopes, Katia; de Witte, Lot D.; Debette, Stéphanie; Deckert, Jürgen; Del Ser, Teodoro; Denning, Nicola; DeStefano, Anita; Dichgans, Martin; Diehl-Schmid, Janine; Diez-Fairen, Mónica; Dionigi Rossi, Paolo; Djurovic, Srdjan; Duron, Emmanuelle; Düzel, Emrah; Dufouil, Carole; Eiriksdottir, Gudny; Engelborghs, Sebastiaan; Escott-Price, Valentina; Espinosa, Ana; Ewers, Michael; Faber, Kelley M.; Fabrizio, Tagliavini; Fallgaard Nielsen, Sune; Fardo, David W.; Farotti, Lucia; Fenoglio, Chiara; Fernández-Fuertes, Marta; Ferrari, Raffaele; Ferreira, Catarina B.; Ferri, Evelyn; Fin, Bertrand; Fischer, Peter; Fladby, Tormod; Fließbach, Klaus; Fongang, Bernard; Fornage, Myriam; Fortea, Juan; Foroud, Tatiana M.; Fostinelli, Silvia; Fox, Nick C.; Franco-Macías, Emlio; Bullido, María J.; Frank-García, Ana; Froelich, Lutz; Fulton-Howard, Brian; Galimberti, Daniela; García-Alberca, Jose Maria; García-González, Pablo; Garcia-Madrona, Sebastian; Garcia-Ribas, Guillermo; Ghidoni, Roberta; Giegling, Ina; Giorgio, Giaccone; Goate, Alison M.; Goldhardt, Oliver; Gomez-Fonseca, Duber; González-Pérez, Antonio; Graff, Caroline; Grande, Giulia; Green, Emma; Grimmer, Timo; Grünblatt, Edna; Grunin, Michelle; Gudnason, Vilmundur; Guetta-Baranes, Tamar; Haapasalo, Annakaisa; Hadjigeorgiou, Georgios; Haines, Jonathan L.; Hamilton-Nelson, Kara L.; Hampel, Harald; Hanon, Olivier; Hardy, John; Hartmann, Annette M.; Hausner, Lucrezia; Harwood, Janet; Heilmann-Heimbach, Stefanie; Helisalmi, Seppo; Heneka, Michael T.; Hernández, Isabel; Herrmann, Martin J.; Hoffmann, Per; Holmes, Clive; Holstege, Henne; Huerto Vilas, Raquel; Hulsman, Marc; Humphrey, Jack; Jan Biessels, Geert; Jian, Xueqiu; Johansson, Charlotte; Jun, Gyungah R.; Kastumata, Yuriko; Kauwe, John; Kehoe, Patrick G.; Kilander, Lena; Kinhult Ståhlbom, Anne; Kivipelto, Miia; Koivisto, Anne; Kornhuber, Johannes; Kosmidis, Mary H.; Kukull, Walter A.; Kuksa, Pavel P.; Kunkle, Brian W.; Kuzma, Amanda B.; Lage, Carmen; Laukka, Erika J.; Launer, Lenore; Lauria, Alessandra; Lee, Chien-Yueh; Lehtisalo, Jenni; Lerch, Ondrej; Lleó, Alberto; Longstreth, William, Jr.; Lopez, Oscar; Lopez de Munain, Adolfo; Love, Seth; Löwemark, Malin; Luckcuck, Lauren; Lunetta, Kathryn L.; Ma, Yiyi; Macías, Juan; MacLeod, Catherine A.; Maier, Wolfgang; Mangialasche, Francesca; Spallazzi, Marco; Marquié, Marta; Marshall, Rachel; Martin, Eden R.; Martín Montes, Angel; Martínez Rodríguez, Carmen; Masullo, Carlo; Mayeux, Richard; Mead, Simon; Mecocci, Patrizia; Medina, Miguel; Meggy, Alun; Mehrabian, Shima; Mendoza, Silvia; Menéndez-González, Manuel; Mir, Pablo; Moebus, Susanne; Mol, Merel; Molina-Porcel, Laura; Montrreal, Laura; Morelli, Laura; Moreno, Fermin; Morgan, Kevin; Mosley, Thomas; Nöthen, Markus M.; Muchnik, Carolina; Mukherjee, Shubhabrata; Nacmias, Benedetta; Ngandu, Tiia; Nicolas, Gael; Nordestgaard, Børge G.; Olaso, Robert; Orellana, Adelina; Orsini, Michela; Ortega, Gemma; Padovani, Alessandro; Paolo, Caffarra; Papenberg, Goran; Parnetti, Lucilla; Pasquier, Florence; Pastor, Pau; Peloso, Gina; Pérez-Cordón, Alba; Pérez-Tur, Jordi; Pericard, Pierre; Peters, Oliver; Pijnenburg, Yolande A. L.; Pineda, Juan A.; Piñol-Ripoll, Gerard; Pisanu, Claudia; Polak, Thomas; Popp, Julius; Posthuma, Danielle; Priller, Josef; Puerta, Raquel; Quenez, Olivier; Quintela, Inés; Qvist Thomassen, Jesper; Rábano, Alberto; Rainero, Innocenzo; Rajabli, Farid; Ramakers, Inez; Real, Luis M.; Reinders, Marcel J. T.; Reitz, Christiane; Reyes-Dumeyer, Dolly; Ridge, Perry; Riedel-Heller, Steffi; Riederer, Peter; Roberto, Natalia; Rodriguez-Rodriguez, Eloy; Rongve, Arvid; Rosas Allende, Irene; Rosende-Roca, Maitée; Royo, Jose Luis; Rubino, Elisa; Rujescu, Dan; Sáez, María Eugenia; Sakka, Paraskevi; Saltvedt, Ingvild; Sanabria, Ángela; Sánchez-Arjona, María Bernal; Sanchez-Garcia, Florentino; Sánchez Juan, Pascual; Sánchez-Valle, Raquel; Sando, Sigrid B.; Sarnowski, Chloé; Satizabal, Claudia L.; Scamosci, Michela; Scarmeas, Nikolaos; Scarpini, Elio; Scheltens, Philip; Scherbaum, Norbert; Scherer, Martin; Schmid, Matthias; Schneider, Anja; Schott, Jonathan M.; Selbæk, Geir; Seripa, Davide; Serrano, Manuel; Sha, Jin; Shadrin, Alexey A.; Skrobot, Olivia; Slifer, Susan; Snijders, Gijsje J. L.; Soininen, Hilkka; Solfrizzi, Vincenzo; Solomon, Alina; Song, Yeunjoo; Sorbi, Sandro; Sotolongo-Grau, Oscar; Spalletta, Gianfranco; Spottke, Annika; Squassina, Alessio; Stordal, Eystein; Tartan, Juan Pablo; Tárraga, Lluís; Tesí, Niccolo; Thalamuthu, Anbupalam; Thomas, Tegos; Tosto, Giuseppe; Traykov, Latchezar; Tremolizzo, Lucio; Tybjærg-Hansen, Anne; Uitterlinden, Andre; Ullgren, Abbe; Ulstein, Ingun; Valero, Sergi; Valladares, Otto; Van Broeckhoven, Christine; Vance, Jeffery; Vardarajan, Badri N.; van der Lugt, Aad; Van Dongen, Jasper; van Rooij, Jeroen; van Swieten, John; Vandenberghe, Rik; Verhey, Frans; Vidal, Jean-Sébastien; Vogelgsang, Jonathan; Vyhnalek, Martin; Wagner, Michael; Wallon, David; Wang, Li-San; Wang, Ruiqi; Weinhold, Leonie; Wiltfang, Jens; Windle, Gill; Woods, Bob; Yannakoulia, Mary; Zare, Habil; Zhao, Yi; Zhang, Xiaoling; Zhu, Congcong; Zulaica, Miren; EADB; GR@ACE; DEGESCO; EADI; GERAD; Demgene; FinnGen; ADGC; CHARGE; Farrer, Lindsay A.; Psaty, Bruce M.; Ghanbari, Mohsen; Raj, Towfique; Sachdev, Perminder; Mather, Karen; Jessen, Frank; Ikram, M. Arfan; de Mendonça, Alexandre; Hort, Jakub; Tsolaki, Magda; Pericak-Vance, Margaret A.; Amouyel, Philippe; Williams, Julie; Frikke-Schmidt, Ruth; Clarimon, Jordi; Deleuze, Jean-François; Rossi, Giacomina; Seshadri, Sudha; Andreassen, Ole A.; Ingelsson, Martin; Hiltunen, Mikko; Sleegers, Kristel; Schellenberg, Gerard D.; van Duijn, Cornelia M.; Sims, Rebecca; van der Flier, Wiesje M.; Ruiz, Agustín; Ramirez, Alfredo; Lambert, Jean-Charles; Medical and Molecular Genetics, School of Medicine
    Characterization of the genetic landscape of Alzheimer’s disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/‘proxy’ AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele.
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    Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain: Algorithm Benchmarking and Model Optimization
    (bioRxiv, 2023-12-02) Ge, Ruiyang; Yu, Yuetong; Qi, Yi Xuan; Fan, Yunan Vera; Chen, Shiyu; Gao, Chuntong; Haas, Shalaila S.; Modabbernia, Amirhossein; New, Faye; Agartz, Ingrid; Asherson, Philip; Ayesa-Arriola, Rosa; Banaj, Nerisa; Banaschewski, Tobias; Baumeister, Sarah; Bertolino, Alessandro; Boomsma, Dorret I.; Borgwardt, Stefan; Bourque, Josiane; Brandeis, Daniel; Breier, Alan; Brodaty, Henry; Brouwer, Rachel M.; Buckner, Randy; Buitelaar, Jan K.; Cannon, Dara M.; Caseras, Xavier; Cervenka, Simon; Conrod, Patricia J.; Crespo-Facorro, Benedicto; Crivello, Fabrice; Crone, Eveline A.; de Haan, Liewe; de Zubicaray, Greig I.; Di Giorgio, Annabella; Erk, Susanne; Fisher, Simon E.; Franke, Barbara; Frodl, Thomas; Glahn, David C.; Grotegerd, Dominik; Gruber, Oliver; Gruner, Patricia; Gur, Raquel E.; Gur, Ruben C.; Harrison, Ben J.; Hatton, Sean N.; Hickie, Ian; Howells, Fleur M.; Hulshoff Pol, Hilleke E.; Huyser, Chaim; Jernigan, Terry L.; Jiang, Jiyang; Joska, John A.; Kahn, René S.; Kalnin, Andrew J.; Kochan, Nicole A.; Koops, Sanne; Kuntsi, Jonna; Lagopoulos, Jim; Lazaro, Luisa; Lebedeva, Irina S.; Lochner, Christine; Martin, Nicholas G.; Mazoyer, Bernard; McDonald, Brenna C.; McDonald, Colm; McMahon, Katie L.; Nakao, Tomohiro; Nyberg, Lars; Piras, Fabrizio; Portella, Maria J.; Qiu, Jiang; Roffman, Joshua L.; Sachdev, Perminder S.; Sanford, Nicole; Satterthwaite, Theodore D.; Saykin, Andrew J.; Schumann, Gunter; Sellgren, Carl M.; Sim, Kang; Smoller, Jordan W.; Soares, Jair; Sommer, Iris E.; Spalletta, Gianfranco; Stein, Dan J.; Tamnes, Christian K.; Thomopolous, Sophia I.; Tomyshev, Alexander S.; Tordesillas-Gutiérrez, Diana; Trollor, Julian N.; van 't Ent, Dennis; van den Heuvel, Odile A.; van Erp, Theo Gm.; van Haren, Neeltje Em.; Vecchio, Daniela; Veltman, Dick J.; Walter, Henrik; Wang, Yang; Weber, Bernd; Wei, Dongtao; Wen, Wei; Westlye, Lars T.; Wierenga, Lara M.; Williams, Steven Cr.; Wright, Margaret J.; Medland, Sarah; Wu, Mon-Ju; Yu, Kevin; Jahanshad, Neda; Thompson, Paul M.; Frangou, Sophia; Psychiatry, School of Medicine
    We present an empirically benchmarked framework for sex-specific normative modeling of brain morphometry that can inform about the biological and behavioral significance of deviations from typical age-related neuroanatomical changes and support future study designs. This framework was developed using regional morphometric data from 37,407 healthy individuals (53% female; aged 3-90 years) following a comparative evaluation of eight algorithms and multiple covariate combinations pertaining to image acquisition and quality, parcellation software versions, global neuroimaging measures, and longitudinal stability. The Multivariate Factorial Polynomial Regression (MFPR) emerged as the preferred algorithm optimized using nonlinear polynomials for age and linear effects of global measures as covariates. The MFPR models showed excellent accuracy across the lifespan and within distinct age-bins, and longitudinal stability over a 2-year period. The performance of all MFPR models plateaued at sample sizes exceeding 3,000 study participants. The model and scripts described here are freely available through CentileBrain (https://centilebrain.org/).