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1. Generation of an induced pluripotent stem cell line (UMi043-A) from an African American patient with Alzheimer’s disease carrying an ABCA7 deletion (p.Arg578Alafs)

Author: Holly N. Cukier, Shaina A. Simon, Eugene Tang, Charles G. Golightly, Mayra Juliana Laverde-Paz, Larry Deon Adams, Takiyah D. Starks, Jeffery M. Vance, Michael L. Cuccaro, Jonathan L. Haines, Goldie S. Byrd, Margaret A. Pericak-Vance, and Derek M. Dykxhoorn
Subjects: Biology (General), QH301-705.5
Abstract: The ATP-binding cassette, subfamily A (ABC1), member 7 (ABCA7) gene is associated with Alzheimer’s disease (AD) risk in populations of African, Asian, and European ancestry1-5. Numerous ABCA7 mutations contributing to risk have been identified, including a 44 base pair deletion (rs142076058) specific to individuals of African ancestry and predicted to cause a frameshift mutation (p.Arg578Alafs) (Cukier et al., 2016). The UMi043-A human induced pluripotent stem cell line was derived from an African American individual with AD who is heterozygous for this deletion and is a resource to further investigate ABCA7 and how this African-specific deletion may influence disease pathology.
Published: 2024
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2. A genome-wide search for pleiotropy in more than 100,000 harmonized longitudinal cognitive domain scores

Author: Moonil Kang, Ting Fang Alvin Ang, Sherral A. Devine, Richard Sherva, Shubhabrata Mukherjee, Emily H. Trittschuh, Laura E. Gibbons, Phoebe Scollard, Michael Lee, Seo-Eun Choi, Brandon Klinedinst, Connie Nakano, Logan C. Dumitrescu, Alaina Durant, Timothy J. Hohman, Michael L. Cuccaro, Andrew J. Saykin, Walter A. Kukull, David A. Bennett, Li-San Wang, Richard P. Mayeux, Jonathan L. Haines, Margaret A. Pericak-Vance, Gerard D. Schellenberg, Paul K. Crane, Rhoda Au, Kathryn L. Lunetta, Jesse B. Mez, and Lindsay A. Farrer
Subjects: Alzheimer’s disease, Genome-wide association study, Cognitive domains, Longitudinal measures, Pleiotropy, Pathway analysis, Neurology. Diseases of the nervous system, RC346-429, Geriatrics, RC952-954.6
Abstract: Abstract Background More than 75 common variant loci account for only a portion of the heritability for Alzheimer’s disease (AD). A more complete understanding of the genetic basis of AD can be deduced by exploring associations with AD-related endophenotypes. Methods We conducted genome-wide scans for cognitive domain performance using harmonized and co-calibrated scores derived by confirmatory factor analyses for executive function, language, and memory. We analyzed 103,796 longitudinal observations from 23,066 members of community-based (FHS, ACT, and ROSMAP) and clinic-based (ADRCs and ADNI) cohorts using generalized linear mixed models including terms for SNP, age, SNP × age interaction, sex, education, and five ancestry principal components. Significance was determined based on a joint test of the SNP’s main effect and interaction with age. Results across datasets were combined using inverse-variance meta-analysis. Genome-wide tests of pleiotropy for each domain pair as the outcome were performed using PLACO software. Results Individual domain and pleiotropy analyses revealed genome-wide significant (GWS) associations with five established loci for AD and AD-related disorders (BIN1, CR1, GRN, MS4A6A, and APOE) and eight novel loci. ULK2 was associated with executive function in the community-based cohorts (rs157405, P = 2.19 × 10–9). GWS associations for language were identified with CDK14 in the clinic-based cohorts (rs705353, P = 1.73 × 10–8) and LINC02712 in the total sample (rs145012974, P = 3.66 × 10–8). GRN (rs5848, P = 4.21 × 10–8) and PURG (rs117523305, P = 1.73 × 10–8) were associated with memory in the total and community-based cohorts, respectively. GWS pleiotropy was observed for language and memory with LOC107984373 (rs73005629, P = 3.12 × 10–8) in the clinic-based cohorts, and with NCALD (rs56162098, P = 1.23 × 10–9) and PTPRD (rs145989094, P = 8.34 × 10–9) in the community-based cohorts. GWS pleiotropy was also found for executive function and memory with OSGIN1 (rs12447050, P = 4.09 × 10–8) and PTPRD (rs145989094, P = 3.85 × 10–8) in the community-based cohorts. Functional studies have previously linked AD to ULK2, NCALD, and PTPRD. Conclusion Our results provide some insight into biological pathways underlying processes leading to domain-specific cognitive impairment and AD, as well as a conduit toward a syndrome-specific precision medicine approach to AD. Increasing the number of participants with harmonized cognitive domain scores will enhance the discovery of additional genetic factors of cognitive decline leading to AD and related dementias.
Published: 2023
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3. Polygenic risk score penetrance & recurrence risk in familial Alzheimer disease

Author: Min Qiao, Annie J. Lee, Dolly Reyes‐Dumeyer, Giuseppe Tosto, Kelley Faber, Alison Goate, Alan Renton, Michael Chao, Brad Boeve, Carlos Cruchaga, Margaret Pericak‐Vance, Jonathan L. Haines, Roger Rosenberg, Debby Tsuang, Robert A. Sweet, David A. Bennett, Robert S. Wilson, Tatiana Foroud, Richard Mayeux, and Badri N. Vardarajan
Subjects: Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract: Abstract Objective To compute penetrance and recurrence risk using a genome‐wide PRS (including and excluding the APOE region) in families with Alzheimer's disease. Methods Genotypes from the National Institute on Aging Late‐Onset Alzheimer's Disease Family‐Based Study and a study of familial Alzheimer's disease in Caribbean Hispanics were used to compute PRS with and without variants in the 2 MB region flanking APOE. PRS was calculated in using clumping/thresholding and Bayesian methods and was assessed for association with Alzheimer's disease and age at onset. Penetrance and recurrence risk for carriers in highest and lowest PRS quintiles were compared separately within APOE‐ε4 carriers and non‐carriers. Results PRS excluding the APOE region was strongly associated with clinical and neuropathological diagnosis of AD. PRS association with AD was similar in participants who did not carry an APOE‐ε4 allele (OR = 1.74 [1.53–1.91]) compared with APOE‐ε4 carriers (1.53 [1.4–1.68]). Compared to the lowest quintile, the highest PRS quintile had a 10% higher penetrance at age 70 (p = 0.0006) and a 20% higher penetrance at age 80 (p
Published: 2023
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4. Author Correction: Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores

Author: Itziar de Rojas, Sonia Moreno-Grau, Niccolo Tesi, Benjamin Grenier-Boley, Victor Andrade, Iris E. Jansen, Nancy L. Pedersen, Najada Stringa, Anna Zettergren, Isabel Hernández, Laura Montrreal, Carmen Antúnez, Anna Antonell, Rick M. Tankard, Joshua C. Bis, Rebecca Sims, Céline Bellenguez, Inés Quintela, Antonio González-Perez, Miguel Calero, Emilio Franco-Macías, Juan Macías, Rafael Blesa, Laura Cervera-Carles, Manuel Menéndez-González, Ana Frank-García, Jose Luís Royo, Fermin Moreno, Raquel Huerto Vilas, Miquel Baquero, Mónica Diez-Fairen, Carmen Lage, Sebastián García-Madrona, Pablo García-González, Emilio Alarcón-Martín, Sergi Valero, Oscar Sotolongo-Grau, Abbe Ullgren, Adam C. Naj, Afina W. Lemstra, Alba Benaque, Alba Pérez-Cordón, Alberto Benussi, Alberto Rábano, Alessandro Padovani, Alessio Squassina, Alexandre de Mendonça, Alfonso Arias Pastor, Almar A. L. Kok, Alun Meggy, Ana Belén Pastor, Ana Espinosa, Anaïs Corma-Gómez, Angel Martín Montes, Ángela Sanabria, Anita L. DeStefano, Anja Schneider, Annakaisa Haapasalo, Anne Kinhult Ståhlbom, Anne Tybjærg-Hansen, Annette M. Hartmann, Annika Spottke, Arturo Corbatón-Anchuelo, Arvid Rongve, Barbara Borroni, Beatrice Arosio, Benedetta Nacmias, Børge G. Nordestgaard, Brian W. Kunkle, Camille Charbonnier, Carla Abdelnour, Carlo Masullo, Carmen Martínez Rodríguez, Carmen Muñoz-Fernandez, Carole Dufouil, Caroline Graff, Catarina B. Ferreira, Caterina Chillotti, Chandra A. Reynolds, Chiara Fenoglio, Christine Van Broeckhoven, Christopher Clark, Claudia Pisanu, Claudia L. Satizabal, Clive Holmes, Dolores Buiza-Rueda, Dag Aarsland, Dan Rujescu, Daniel Alcolea, Daniela Galimberti, David Wallon, Davide Seripa, Edna Grünblatt, Efthimios Dardiotis, Emrah Düzel, Elio Scarpini, Elisa Conti, Elisa Rubino, Ellen Gelpi, Eloy Rodriguez-Rodriguez, Emmanuelle Duron, Eric Boerwinkle, Evelyn Ferri, Fabrizio Tagliavini, Fahri Küçükali, Florence Pasquier, Florentino Sanchez-Garcia, Francesca Mangialasche, Frank Jessen, Gaël Nicolas, Geir Selbæk, Gemma Ortega, Geneviève Chêne, Georgios Hadjigeorgiou, Giacomina Rossi, Gianfranco Spalletta, Giorgio Giaccone, Giulia Grande, Giuliano Binetti, Goran Papenberg, Harald Hampel, Henri Bailly, Henrik Zetterberg, Hilkka Soininen, Ida K. Karlsson, Ignacio Alvarez, Ildebrando Appollonio, Ina Giegling, Ingmar Skoog, Ingvild Saltvedt, Innocenzo Rainero, Irene Rosas Allende, Jakub Hort, Janine Diehl-Schmid, Jasper Van Dongen, Jean-Sebastien Vidal, Jenni Lehtisalo, Jens Wiltfang, Jesper Qvist Thomassen, Johannes Kornhuber, Jonathan L. Haines, Jonathan Vogelgsang, Juan A. Pineda, Juan Fortea, Julius Popp, Jürgen Deckert, Katharina Buerger, Kevin Morgan, Klaus Fließbach, Kristel Sleegers, Laura Molina-Porcel, Lena Kilander, Leonie Weinhold, Lindsay A. Farrer, Li-San Wang, Luca Kleineidam, Lucia Farotti, Lucilla Parnetti, Lucio Tremolizzo, Lucrezia Hausner, Luisa Benussi, Lutz Froelich, M. Arfan Ikram, M. Candida Deniz-Naranjo, Magda Tsolaki, Maitée Rosende-Roca, Malin Löwenmark, Marc Hulsman, Marco Spallazzi, Margaret A. Pericak-Vance, Margaret Esiri, María Bernal Sánchez-Arjona, Maria Carolina Dalmasso, María Teresa Martínez-Larrad, Marina Arcaro, Markus M. Nöthen, Marta Fernández-Fuertes, Martin Dichgans, Martin Ingelsson, Martin J. Herrmann, Martin Scherer, Martin Vyhnalek, Mary H. Kosmidis, Mary Yannakoulia, Matthias Schmid, Michael Ewers, Michael T. Heneka, Michael Wagner, Michela Scamosci, Miia Kivipelto, Mikko Hiltunen, Miren Zulaica, Montserrat Alegret, Myriam Fornage, Natalia Roberto, Natasja M. van Schoor, Nazib M. Seidu, Nerisa Banaj, Nicola J. Armstrong, Nikolaos Scarmeas, Norbert Scherbaum, Oliver Goldhardt, Oliver Hanon, Oliver Peters, Olivia Anna Skrobot, Olivier Quenez, Ondrej Lerch, Paola Bossù, Paolo Caffarra, Paolo Dionigi Rossi, Paraskevi Sakka, Patrizia Mecocci, Per Hoffmann, Peter A. Holmans, Peter Fischer, Peter Riederer, Qiong Yang, Rachel Marshall, Rajesh N. Kalaria, Richard Mayeux, Rik Vandenberghe, Roberta Cecchetti, Roberta Ghidoni, Ruth Frikke-Schmidt, Sandro Sorbi, Sara Hägg, Sebastiaan Engelborghs, Seppo Helisalmi, Sigrid Botne Sando, Silke Kern, Silvana Archetti, Silvia Boschi, Silvia Fostinelli, Silvia Gil, Silvia Mendoza, Simon Mead, Simona Ciccone, Srdjan Djurovic, Stefanie Heilmann-Heimbach, Steffi Riedel-Heller, Teemu Kuulasmaa, Teodoro del Ser, Thibaud Lebouvier, Thomas Polak, Tiia Ngandu, Timo Grimmer, Valentina Bessi, Valentina Escott-Price, Vilmantas Giedraitis, Vincent Deramecourt, Wolfgang Maier, Xueqiu Jian, Yolande A. L. Pijnenburg, EADB contributors, DEGESCO consortium, IGAP (ADGC, CHARGE, EADI, GERAD), PGC-ALZ consortia, Patrick Gavin Kehoe, Guillermo Garcia-Ribas, Pascual Sánchez-Juan, Pau Pastor, Jordi Pérez-Tur, Gerard Piñol-Ripoll, Adolfo Lopez de Munain, Jose María García-Alberca, María J. Bullido, Victoria Álvarez, Alberto Lleó, Luis M. Real, Pablo Mir, Miguel Medina, Philip Scheltens, Henne Holstege, Marta Marquié, María Eugenia Sáez, Ángel Carracedo, Philippe Amouyel, Gerard D. Schellenberg, Julie Williams, Sudha Seshadri, Cornelia M. van Duijn, Karen A. Mather, Raquel Sánchez-Valle, Manuel Serrano-Ríos, Adelina Orellana, Lluís Tárraga, Kaj Blennow, Martijn Huisman, Ole A. Andreassen, Danielle Posthuma, Jordi Clarimón, Mercè Boada, Wiesje M. van der Flier, Alfredo Ramirez, Jean-Charles Lambert, Sven J. van der Lee, and Agustín Ruiz
Subjects: Science
Published: 2023
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5. The genetic architecture of Alzheimer disease risk in the Ohio and Indiana Amish

Author: Michael D. Osterman, Yeunjoo E. Song, Larry D. Adams, Renee A. Laux, Laura J. Caywood, Michael B. Prough, Jason E. Clouse, Sharlene D. Herington, Susan H. Slifer, Audrey Lynn, M. Denise Fuzzell, Sarada L. Fuzzell, Sherri D. Hochstetler, Kristy Miskimen, Leighanne R. Main, Daniel A. Dorfsman, Paula Ogrocki, Alan J. Lerner, Jairo Ramos, Jeffery M. Vance, Michael L. Cuccaro, William K. Scott, Margaret A. Pericak-Vance, and Jonathan L. Haines
Subjects: Alzheimer disease, polygenic risk score, PRS, genetic risk score, GRS, Amish, Genetics, QH426-470
Abstract: Summary: Alzheimer disease (AD) is the most common type of dementia and is currently estimated to affect 6.2 million Americans. It ranks as the sixth leading cause of death in the United States, and the proportion of deaths due to AD has been increasing since 2000, while the proportion of many other leading causes of deaths have decreased or remained constant. The risk for AD is multifactorial, including genetic and environmental risk factors. Although APOE ε4 remains the largest genetic risk factor for AD, more than 26 other loci have been associated with AD risk. Here, we recruited Amish adults from Ohio and Indiana to investigate AD risk and protective genetic effects. As a founder population that typically practices endogamy, variants that are rare in the general population may be of a higher frequency in the Amish population. Since the Amish have a slightly lower incidence and later age of onset of disease, they represent an excellent and unique population for research on protective genetic variants. We compared AD risk in the Amish and to a non-Amish population through APOE genotype, a non-APOE genetic risk score of genome-wide significant variants, and a non-APOE polygenic risk score considering all of the variants. Our results highlight the lesser relative impact of APOE and differing genetic architecture of AD risk in the Amish compared to a non-Amish, general European ancestry population.
Published: 2022
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6. Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores

Author: Itziar de Rojas, Sonia Moreno-Grau, Niccolo Tesi, Benjamin Grenier-Boley, Victor Andrade, Iris E. Jansen, Nancy L. Pedersen, Najada Stringa, Anna Zettergren, Isabel Hernández, Laura Montrreal, Carmen Antúnez, Anna Antonell, Rick M. Tankard, Joshua C. Bis, Rebecca Sims, Céline Bellenguez, Inés Quintela, Antonio González-Perez, Miguel Calero, Emilio Franco-Macías, Juan Macías, Rafael Blesa, Laura Cervera-Carles, Manuel Menéndez-González, Ana Frank-García, Jose Luís Royo, Fermin Moreno, Raquel Huerto Vilas, Miquel Baquero, Mónica Diez-Fairen, Carmen Lage, Sebastián García-Madrona, Pablo García-González, Emilio Alarcón-Martín, Sergi Valero, Oscar Sotolongo-Grau, Abbe Ullgren, Adam C. Naj, Afina W. Lemstra, Alba Benaque, Alba Pérez-Cordón, Alberto Benussi, Alberto Rábano, Alessandro Padovani, Alessio Squassina, Alexandre de Mendonça, Alfonso Arias Pastor, Almar A. L. Kok, Alun Meggy, Ana Belén Pastor, Ana Espinosa, Anaïs Corma-Gómez, Angel Martín Montes, Ángela Sanabria, Anita L. DeStefano, Anja Schneider, Annakaisa Haapasalo, Anne Kinhult Ståhlbom, Anne Tybjærg-Hansen, Annette M. Hartmann, Annika Spottke, Arturo Corbatón-Anchuelo, Arvid Rongve, Barbara Borroni, Beatrice Arosio, Benedetta Nacmias, Børge G. Nordestgaard, Brian W. Kunkle, Camille Charbonnier, Carla Abdelnour, Carlo Masullo, Carmen Martínez Rodríguez, Carmen Muñoz-Fernandez, Carole Dufouil, Caroline Graff, Catarina B. Ferreira, Caterina Chillotti, Chandra A. Reynolds, Chiara Fenoglio, Christine Van Broeckhoven, Christopher Clark, Claudia Pisanu, Claudia L. Satizabal, Clive Holmes, Dolores Buiza-Rueda, Dag Aarsland, Dan Rujescu, Daniel Alcolea, Daniela Galimberti, David Wallon, Davide Seripa, Edna Grünblatt, Efthimios Dardiotis, Emrah Düzel, Elio Scarpini, Elisa Conti, Elisa Rubino, Ellen Gelpi, Eloy Rodriguez-Rodriguez, Emmanuelle Duron, Eric Boerwinkle, Evelyn Ferri, Fabrizio Tagliavini, Fahri Küçükali, Florence Pasquier, Florentino Sanchez-Garcia, Francesca Mangialasche, Frank Jessen, Gaël Nicolas, Geir Selbæk, Gemma Ortega, Geneviève Chêne, Georgios Hadjigeorgiou, Giacomina Rossi, Gianfranco Spalletta, Giorgio Giaccone, Giulia Grande, Giuliano Binetti, Goran Papenberg, Harald Hampel, Henri Bailly, Henrik Zetterberg, Hilkka Soininen, Ida K. Karlsson, Ignacio Alvarez, Ildebrando Appollonio, Ina Giegling, Ingmar Skoog, Ingvild Saltvedt, Innocenzo Rainero, Irene Rosas Allende, Jakub Hort, Janine Diehl-Schmid, Jasper Van Dongen, Jean-Sebastien Vidal, Jenni Lehtisalo, Jens Wiltfang, Jesper Qvist Thomassen, Johannes Kornhuber, Jonathan L. Haines, Jonathan Vogelgsang, Juan A. Pineda, Juan Fortea, Julius Popp, Jürgen Deckert, Katharina Buerger, Kevin Morgan, Klaus Fließbach, Kristel Sleegers, Laura Molina-Porcel, Lena Kilander, Leonie Weinhold, Lindsay A. Farrer, Li-San Wang, Luca Kleineidam, Lucia Farotti, Lucilla Parnetti, Lucio Tremolizzo, Lucrezia Hausner, Luisa Benussi, Lutz Froelich, M. Arfan Ikram, M. Candida Deniz-Naranjo, Magda Tsolaki, Maitée Rosende-Roca, Malin Löwenmark, Marc Hulsman, Marco Spallazzi, Margaret A. Pericak-Vance, Margaret Esiri, María Bernal Sánchez-Arjona, Maria Carolina Dalmasso, María Teresa Martínez-Larrad, Marina Arcaro, Markus M. Nöthen, Marta Fernández-Fuertes, Martin Dichgans, Martin Ingelsson, Martin J. Herrmann, Martin Scherer, Martin Vyhnalek, Mary H. Kosmidis, Mary Yannakoulia, Matthias Schmid, Michael Ewers, Michael T. Heneka, Michael Wagner, Michela Scamosci, Miia Kivipelto, Mikko Hiltunen, Miren Zulaica, Montserrat Alegret, Myriam Fornage, Natalia Roberto, Natasja M. van Schoor, Nazib M. Seidu, Nerisa Banaj, Nicola J. Armstrong, Nikolaos Scarmeas, Norbert Scherbaum, Oliver Goldhardt, Oliver Hanon, Oliver Peters, Olivia Anna Skrobot, Olivier Quenez, Ondrej Lerch, Paola Bossù, Paolo Caffarra, Paolo Dionigi Rossi, Paraskevi Sakka, Per Hoffmann, Peter A. Holmans, Peter Fischer, Peter Riederer, Qiong Yang, Rachel Marshall, Rajesh N. Kalaria, Richard Mayeux, Rik Vandenberghe, Roberta Cecchetti, Roberta Ghidoni, Ruth Frikke-Schmidt, Sandro Sorbi, Sara Hägg, Sebastiaan Engelborghs, Seppo Helisalmi, Sigrid Botne Sando, Silke Kern, Silvana Archetti, Silvia Boschi, Silvia Fostinelli, Silvia Gil, Silvia Mendoza, Simon Mead, Simona Ciccone, Srdjan Djurovic, Stefanie Heilmann-Heimbach, Steffi Riedel-Heller, Teemu Kuulasmaa, Teodoro del Ser, Thibaud Lebouvier, Thomas Polak, Tiia Ngandu, Timo Grimmer, Valentina Bessi, Valentina Escott-Price, Vilmantas Giedraitis, Vincent Deramecourt, Wolfgang Maier, Xueqiu Jian, Yolande A. L. Pijnenburg, EADB contributors, DEGESCO consortium, IGAP (ADGC, CHARGE, EADI, GERAD), PGC-ALZ consortia, Patrick Gavin Kehoe, Guillermo Garcia-Ribas, Pascual Sánchez-Juan, Pau Pastor, Jordi Pérez-Tur, Gerard Piñol-Ripoll, Adolfo Lopez de Munain, Jose María García-Alberca, María J. Bullido, Victoria Álvarez, Alberto Lleó, Luis M. Real, Pablo Mir, Miguel Medina, Philip Scheltens, Henne Holstege, Marta Marquié, María Eugenia Sáez, Ángel Carracedo, Philippe Amouyel, Gerard D. Schellenberg, Julie Williams, Sudha Seshadri, Cornelia M. van Duijn, Karen A. Mather, Raquel Sánchez-Valle, Manuel Serrano-Ríos, Adelina Orellana, Lluís Tárraga, Kaj Blennow, Martijn Huisman, Ole A. Andreassen, Danielle Posthuma, Jordi Clarimón, Mercè Boada, Wiesje M. van der Flier, Alfredo Ramirez, Jean-Charles Lambert, Sven J. van der Lee, and Agustín Ruiz
Subjects: Science
Abstract: Known genetic loci account for only a fraction of the genetic contribution to Alzheimer’s disease. Here, the authors have performed a large genome-wide meta-analysis comprising 409,435 individuals to discover 6 new loci and demonstrate the efficacy of an Alzheimer’s disease polygenic risk score.
Published: 2021
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7. Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging

Author: Nadav Rakocz, Jeffrey N. Chiang, Muneeswar G. Nittala, Giulia Corradetti, Liran Tiosano, Swetha Velaga, Michael Thompson, Brian L. Hill, Sriram Sankararaman, Jonathan L. Haines, Margaret A. Pericak-Vance, Dwight Stambolian, Srinivas R. Sadda, and Eran Halperin
Subjects: Computer applications to medicine. Medical informatics, R858-859.7
Abstract: Abstract One of the core challenges in applying machine learning and artificial intelligence to medicine is the limited availability of annotated medical data. Unlike in other applications of machine learning, where an abundance of labeled data is available, the labeling and annotation of medical data and images require a major effort of manual work by expert clinicians who do not have the time to annotate manually. In this work, we propose a new deep learning technique (SLIVER-net), to predict clinical features from 3-dimensional volumes using a limited number of manually annotated examples. SLIVER-net is based on transfer learning, where we borrow information about the structure and parameters of the network from publicly available large datasets. Since public volume data are scarce, we use 2D images and account for the 3-dimensional structure using a novel deep learning method which tiles the volume scans, and then adds layers that leverage the 3D structure. In order to illustrate its utility, we apply SLIVER-net to predict risk factors for progression of age-related macular degeneration (AMD), a leading cause of blindness, from optical coherence tomography (OCT) volumes acquired from multiple sites. SLIVER-net successfully predicts these factors despite being trained with a relatively small number of annotated volumes (hundreds) and only dozens of positive training examples. Our empirical evaluation demonstrates that SLIVER-net significantly outperforms standard state-of-the-art deep learning techniques used for medical volumes, and its performance is generalizable as it was validated on an external testing set. In a direct comparison with a clinician panel, we find that SLIVER-net also outperforms junior specialists, and identifies AMD progression risk factors similarly to expert retina specialists.
Published: 2021
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8. Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries

Author: Puya Gharahkhani, Eric Jorgenson, Pirro Hysi, Anthony P. Khawaja, Sarah Pendergrass, Xikun Han, Jue Sheng Ong, Alex W. Hewitt, Ayellet V. Segrè, John M. Rouhana, Andrew R. Hamel, Robert P. Igo, Helene Choquet, Ayub Qassim, Navya S. Josyula, Jessica N. Cooke Bailey, Pieter W. M. Bonnemaijer, Adriana Iglesias, Owen M. Siggs, Terri L. Young, Veronique Vitart, Alberta A. H. J. Thiadens, Juha Karjalainen, Steffen Uebe, Ronald B. Melles, K. Saidas Nair, Robert Luben, Mark Simcoe, Nishani Amersinghe, Angela J. Cree, Rene Hohn, Alicia Poplawski, Li Jia Chen, Shi-Song Rong, Tin Aung, Eranga Nishanthie Vithana, NEIGHBORHOOD consortium, ANZRAG consortium, Biobank Japan project, FinnGen study, UK Biobank Eye and Vision Consortium, GIGA study group, and Me Research Team, Gen Tamiya, Yukihiro Shiga, Masayuki Yamamoto, Toru Nakazawa, Hannah Currant, Ewan Birney, Xin Wang, Adam Auton, Michelle K. Lupton, Nicholas G. Martin, Adeyinka Ashaye, Olusola Olawoye, Susan E. Williams, Stephen Akafo, Michele Ramsay, Kazuki Hashimoto, Yoichiro Kamatani, Masato Akiyama, Yukihide Momozawa, Paul J. Foster, Peng T. Khaw, James E. Morgan, Nicholas G. Strouthidis, Peter Kraft, Jae H. Kang, Chi Pui Pang, Francesca Pasutto, Paul Mitchell, Andrew J. Lotery, Aarno Palotie, Cornelia van Duijn, Jonathan L. Haines, Chris Hammond, Louis R. Pasquale, Caroline C. W. Klaver, Michael Hauser, Chiea Chuen Khor, David A. Mackey, Michiaki Kubo, Ching-Yu Cheng, Jamie E. Craig, Stuart MacGregor, and Janey L. Wiggs
Subjects: Science
Abstract: Primary open-angle glaucoma (POAG) is highly heritable, yet not well understood from a genetic perspective. Here, the authors perform a meta-analysis of genome-wide association studies in 34,179 POAG cases, identifying 44 previously unreported risk loci and mapping effects across multiple ethnicities.
Published: 2021
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9. Analysis of brain region-specific co-expression networks reveals clustering of established and novel genes associated with Alzheimer disease

Author: Daniel Lancour, Josée Dupuis, Richard Mayeux, Jonathan L. Haines, Margaret A. Pericak-Vance, Gerard C. Schellenberg, Mark Crovella, Lindsay A. Farrer, and Simon Kasif
Subjects: Alzheimer disease, Gene network analysis, Brain regions, Genome-wide association study, EPS8, HSPA2, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract: Abstract Background Identifying and understanding the functional role of genetic risk factors for Alzheimer disease (AD) has been complicated by the variability of genetic influences across brain regions and confounding with age-related neurodegeneration. Methods A gene co-expression network was constructed using data obtained from the Allen Brain Atlas for multiple brain regions (cerebral cortex, cerebellum, and brain stem) in six individuals. Gene network analyses were seeded with 52 reproducible (i.e., established) AD (RAD) genes. Genome-wide association study summary data were integrated with the gene co-expression results and phenotypic information (i.e., memory and aging-related outcomes) from gene knockout studies in Drosophila to generate rankings for other genes that may have a role in AD. Results We found that co-expression of the RAD genes is strongest in the cortical regions where neurodegeneration due to AD is most severe. There was significant evidence for two novel AD-related genes including EPS8 (FDR p = 8.77 × 10−3) and HSPA2 (FDR p = 0.245). Conclusions Our findings indicate that AD-related risk factors are potentially associated with brain region-specific effects on gene expression that can be detected using a gene network approach.
Published: 2020
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10. Statistical driver genes as a means to uncover missing heritability for age-related macular degeneration

Author: Andrea R. Waksmunski, Michelle Grunin, Tyler G. Kinzy, Robert P. Igo, Jonathan L. Haines, and Jessica N. Cooke Bailey
Subjects: Genome-wide association study, Pathway analysis, Statistical driver gene, GREML, Heritability, Internal medicine, RC31-1245, Genetics, QH426-470
Abstract: Abstract Background Age-related macular degeneration (AMD) is a progressive retinal disease contributing to blindness worldwide. Multiple estimates for AMD heritability (h 2 ) exist; however, a substantial proportion of h 2 is not attributable to known genomic loci. The International AMD Genomics Consortium (IAMDGC) gathered the largest dataset of advanced AMD (ADV) cases and controls available and identified 34 loci containing 52 independent risk variants defining known AMD h 2 . To better define AMD heterogeneity, we used Pathway Analysis by Randomization Incorporating Structure (PARIS) on the IAMDGC data and identified 8 statistical driver genes (SDGs), including 2 novel SDGs not discovered by the IAMDGC. We chose to further investigate these pathway-based risk genes and determine their contribution to ADV h 2 , as well as the differential ADV subtype h 2 . Methods We performed genomic-relatedness-based restricted maximum-likelihood (GREML) analyses on ADV, geographic atrophy (GA), and choroidal neovascularization (CNV) subtypes to investigate the h 2 of genotyped variants on the full DNA array chip, 34 risk loci (n = 2758 common variants), 52 variants from the IAMDGC 2016 GWAS, and the 8 SDGs, specifically the novel 2 SDGs, PPARA and PLCG2. Results Via GREML, full chip h 2 was 44.05% for ADV, 46.37% for GA, and 62.03% for CNV. The lead 52 variants’ h 2 (ADV: 14.52%, GA: 8.02%, CNV: 13.62%) and 34 loci h 2 (ADV: 13.73%, GA: 8.81%, CNV: 12.89%) indicate that known variants contribute ~ 14% to ADV h 2 . SDG variants account for a small percentage of ADV, GA, and CNV heritability, but estimates based on the combination of SDGs and the 34 known loci are similar to those calculated for known loci alone. We identified modest epistatic interactions among variants in the 2 SDGs and the 52 IAMDGC variants, including modest interactions between variants in PPARA and PLCG2. Conclusions Pathway analyses, which leverage biological relationships among genes in a pathway, may be useful in identifying additional loci that contribute to the heritability of complex disorders in a non-additive manner. Heritability analyses of these loci, especially amongst disease subtypes, may provide clues to the importance of specific genes to the genetic architecture of AMD.
Published: 2020
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11. Exceptionally low likelihood of Alzheimer’s dementia in APOE2 homozygotes from a 5,000-person neuropathological study

Author: Eric M. Reiman, Joseph F. Arboleda-Velasquez, Yakeel T. Quiroz, Matthew J. Huentelman, Thomas G. Beach, Richard J. Caselli, Yinghua Chen, Yi Su, Amanda J. Myers, John Hardy, Jean Paul Vonsattel, Steven G. Younkin, David A. Bennett, Philip L. De Jager, Eric B. Larson, Paul K. Crane, C. Dirk Keene, M. Ilyas Kamboh, Julia K. Kofler, Linda Duque, John R. Gilbert, Harry E. Gwirtsman, Joseph D. Buxbaum, Dennis W. Dickson, Matthew P. Frosch, Bernardino F. Ghetti, Kathryn L. Lunetta, Li-San Wang, Bradley T. Hyman, Walter A. Kukull, Tatiana Foroud, Jonathan L. Haines, Richard P. Mayeux, Margaret A. Pericak-Vance, Julie A. Schneider, John Q. Trojanowski, Lindsay A. Farrer, Gerard D. Schellenberg, Gary W. Beecham, Thomas J. Montine, Gyungah R. Jun, and The Alzheimer’s Disease Genetics Consortium
Subjects: Science
Abstract: APOE is the major genetic risk factor for Alzheimer’s disease. In a large number of neuropathologically confirmed cases and controls, the impact of different APOE genotypes on Alzheimer’s dementia risk was greater than previously thought and APOE2 homozygotes had an exceptionally low risk.
Published: 2020
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12. Large‐scale sequencing studies expand the known genetic architecture of Alzheimer's disease

Author: Diane Xue, William S. Bush, Alan E. Renton, Edoardo A. Marcora, Joshua C. Bis, Brian W. Kunkle, The Alzheimer's Disease Sequencing Project, Eric Boerwinkle, Anita L. DeStefano, Lindsay Farrer, Alison Goate, Richard Mayeux, Margaret Pericak‐Vance, Gerard Schellenberg, Sudha Seshadri, Ellen Wijsman, Jonathan L. Haines, and Elizabeth E. Blue
Subjects: Alzheimer's disease, genetic architecture, genome, networks, pathways, Neurology. Diseases of the nervous system, RC346-429, Geriatrics, RC952-954.6
Abstract: Abstract Introduction Genes implicated by genome‐wide association studies and family‐based studies of Alzheimer's disease (AD) are largely discordant. We hypothesized that genes identified by sequencing studies like the Alzheimer's Disease Sequencing Project (ADSP) may bridge this gap and highlight shared biological mechanisms. Methods We performed structured literature review of genes prioritized by ADSP studies, genes underlying familial dementias, and genes nominated by genome‐wide association studies. Gene set enrichment analyses of each list identified enriched pathways. Results The genes prioritized by the ADSP, familial dementia studies, and genome‐wide association studies minimally overlapped. Each gene set identified dozens of enriched pathways, several of which were shared (e.g., regulation of amyloid beta clearance). Discussion Alternative study designs provide unique insights into AD genetics. Shared pathways enriched by different genes highlight their relevance to AD pathogenesis, while the patterns of pathway enrichment unique to each gene set provide additional targets for functional studies.
Published: 2021
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13. Cross-ancestry genome-wide association analysis of corneal thickness strengthens link between complex and Mendelian eye diseases

Author: Adriana I. Iglesias, Aniket Mishra, Veronique Vitart, Yelena Bykhovskaya, René Höhn, Henriët Springelkamp, Gabriel Cuellar-Partida, Puya Gharahkhani, Jessica N. Cooke Bailey, Colin E. Willoughby, Xiaohui Li, Seyhan Yazar, Abhishek Nag, Anthony P. Khawaja, Ozren Polašek, David Siscovick, Paul Mitchell, Yih Chung Tham, Jonathan L. Haines, Lisa S. Kearns, Caroline Hayward, Yuan Shi, Elisabeth M. van Leeuwen, Kent D. Taylor, Blue Mountains Eye Study—GWAS group, Pieter Bonnemaijer, Jerome I. Rotter, Nicholas G. Martin, Tanja Zeller, Richard A. Mills, Emmanuelle Souzeau, Sandra E. Staffieri, Jost B. Jonas, Irene Schmidtmann, Thibaud Boutin, Jae H. Kang, Sionne E. M. Lucas, Tien Yin Wong, Manfred E. Beutel, James F. Wilson, NEIGHBORHOOD Consortium, Wellcome Trust Case Control Consortium 2 (WTCCC2), André G. Uitterlinden, Eranga N. Vithana, Paul J. Foster, Pirro G. Hysi, Alex W. Hewitt, Chiea Chuen Khor, Louis R. Pasquale, Grant W. Montgomery, Caroline C. W. Klaver, Tin Aung, Norbert Pfeiffer, David A. Mackey, Christopher J. Hammond, Ching-Yu Cheng, Jamie E. Craig, Yaron S. Rabinowitz, Janey L. Wiggs, Kathryn P. Burdon, Cornelia M. van Duijn, and Stuart MacGregor
Subjects: Science
Abstract: Reduced central corneal thickness (CCT) is observed in common eye diseases as well as in rare Mendelian disorders. Here, in a cross-ancestry GWAS, the authors identify 19 novel genetic loci associated with CCT, a subset of which is involved in rare corneal or connective tissue disorders.
Published: 2018
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14. Genome-wide pleiotropy analysis of neuropathological traits related to Alzheimer’s disease

Author: Jaeyoon Chung, Xiaoling Zhang, Mariet Allen, Xue Wang, Yiyi Ma, Gary Beecham, Thomas J. Montine, Steven G. Younkin, Dennis W. Dickson, Todd E. Golde, Nathan D. Price, Nilüfer Ertekin-Taner, Kathryn L. Lunetta, Jesse Mez, Alzheimer’s Disease Genetics Consortium, Richard Mayeux, Jonathan L. Haines, Margaret A. Pericak-Vance, Gerard Schellenberg, Gyungah R. Jun, and Lindsay A. Farrer
Subjects: Alzheimer’s disease, Neuropathological traits, Genome-wide association study, Pleiotropy analysis, HDAC9, ECRG4, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract: Abstract Background Simultaneous consideration of two neuropathological traits related to Alzheimer’s disease (AD) has not been attempted in a genome-wide association study. Methods We conducted genome-wide pleiotropy analyses using association summary statistics from the Beecham et al. study (PLoS Genet 10:e1004606, 2014) for AD-related neuropathological traits, including neuritic plaque (NP), neurofibrillary tangle (NFT), and cerebral amyloid angiopathy (CAA). Significant findings were further examined by expression quantitative trait locus and differentially expressed gene analyses in AD vs. control brains using gene expression data. Results Genome-wide significant pleiotropic associations were observed for the joint model of NP and NFT (NP + NFT) with the single-nucleotide polymorphism (SNP) rs34487851 upstream of C2orf40 (alias ECRG4, P = 2.4 × 10−8) and for the joint model of NFT and CAA (NFT + CAA) with the HDAC9 SNP rs79524815 (P = 1.1 × 10−8). Gene-based testing revealed study-wide significant associations (P ≤ 2.0 × 10−6) for the NFT + CAA outcome with adjacent genes TRAPPC12, TRAPPC12-AS1, and ADI1. Risk alleles of proxy SNPs for rs79524815 were associated with significantly lower expression of HDAC9 in the brain (P = 3.0 × 10−3), and HDAC9 was significantly downregulated in subjects with AD compared with control subjects in the prefrontal (P = 7.9 × 10−3) and visual (P = 5.6 × 10−4) cortices. Conclusions Our findings suggest that pleiotropy analysis is a useful approach to identifying novel genetic associations with complex diseases and their endophenotypes. Functional studies are needed to determine whether ECRG4 or HDAC9 is plausible as a therapeutic target.
Published: 2018
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15. Author Correction: Cross-ancestry genome-wide association analysis of corneal thickness strengthens link between complex and Mendelian eye diseases

Author: Adriana I. Iglesias, Aniket Mishra, Veronique Vitart, Yelena Bykhovskaya, René Höhn, Henriët Springelkamp, Gabriel Cuellar-Partida, Puya Gharahkhani, Jessica N. Cooke Bailey, Colin E. Willoughby, Xiaohui Li, Seyhan Yazar, Abhishek Nag, Anthony P. Khawaja, Ozren Polašek, David Siscovick, Paul Mitchell, Yih Chung Tham, Jonathan L. Haines, Lisa S. Kearns, Caroline Hayward, Yuan Shi, Elisabeth M. van Leeuwen, Kent D. Taylor, Blue Mountains Eye Study - GWAS group, Pieter Bonnemaijer, Jerome I. Rotter, Nicholas G. Martin, Tanja Zeller, Richard A. Mills, Emmanuelle Souzeau, Sandra E. Staffieri, Jost B. Jonas, Irene Schmidtmann, Thibaud Boutin, Jae H. Kang, Sionne E. M. Lucas, Tien Yin Wong, Manfred E. Beutel, James F. Wilson, Wellcome Trust Case Control Consortium 2 (WTCCC2), NEIGHBORHOOD consortium, André G. Uitterlinden, Eranga N. Vithana, Paul J. Foster, Pirro G. Hysi, Alex W. Hewitt, Chiea Chuen Khor, Louis R. Pasquale, Grant W. Montgomery, Caroline C. W. Klaver, Tin Aung, Norbert Pfeiffer, David A. Mackey, Christopher J. Hammond, Ching-Yu Cheng, Jamie E. Craig, Yaron S. Rabinowitz, Janey L. Wiggs, Kathryn P. Burdon, Cornelia M. van Duijn, and Stuart MacGregor
Subjects: Science
Abstract: Emmanuelle Souzeau, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this Article. This has now been corrected in both the PDF and HTML versions of the Article.
Published: 2019
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16. Plasma Metabolomics of Intermediate and Neovascular Age-Related Macular Degeneration Patients

Author: Sabrina L. Mitchell, Chunyu Ma, William K. Scott, Anita Agarwal, Margaret A. Pericak-Vance, Jonathan L. Haines, Dean P. Jones, Karan Uppal, and Milam A. Brantley
Subjects: age-related macular degeneration, IAMD, NVAMD, metabolomics, acylcarnitines, carnitine shuttle, Cytology, QH573-671
Abstract: To characterize metabolites and metabolic pathways altered in intermediate and neovascular age-related macular degeneration (IAMD and NVAMD), high resolution untargeted metabolomics was performed via liquid chromatography-mass spectrometry on plasma samples obtained from 91 IAMD patients, 100 NVAMD patients, and 195 controls. Plasma metabolite levels were compared between: AMD patients and controls, IAMD patients and controls, and NVAMD and IAMD patients. Partial least-squares discriminant analysis and linear regression were used to identify discriminatory metabolites. Pathway analysis was performed to determine metabolic pathways altered in AMD. Among the comparisons, we identified 435 unique discriminatory metabolic features. Using computational methods and tandem mass spectrometry, we identified 11 metabolic features whose molecular identities had been previously verified and confirmed the molecular identities of three additional discriminatory features. Included among the discriminatory metabolites were acylcarnitines, phospholipids, amino acids, and steroid metabolites. Pathway analysis revealed that lipid, amino acid, and vitamin metabolism pathways were altered in NVAMD, IAMD, or AMD in general, including the carnitine shuttle pathway which was significantly altered in all comparisons. Finally, few discriminatory features were identified between IAMD patients and controls, suggesting that plasma metabolic profiles of IAMD patients are more similar to controls than to NVAMD patients.
Published: 2021
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17. A population-specific reference panel empowers genetic studies of Anabaptist populations

Author: Liping Hou, Rachel L. Kember, Jared C. Roach, Jeffrey R. O’Connell, David W. Craig, Maja Bucan, William K. Scott, Margaret Pericak-Vance, Jonathan L. Haines, Michael H. Crawford, Alan R. Shuldiner, and Francis J. McMahon
Subjects: Medicine, Science
Abstract: Abstract Genotype imputation is a powerful strategy for achieving the large sample sizes required for identification of variants underlying complex phenotypes, but imputation of rare variants remains problematic. Genetically isolated populations offer one solution, however population-specific reference panels are needed to assure optimal imputation accuracy and allele frequency estimation. Here we report the Anabaptist Genome Reference Panel (AGRP), the first whole-genome catalogue of variants and phased haplotypes in people of Amish and Mennonite ancestry. Based on high-depth whole-genome sequence (WGS) from 265 individuals, the AGRP contains >12 M high-confidence single nucleotide variants and short indels, of which ~12.5% are novel. These Anabaptist-specific variants were more deleterious than variants with comparable frequencies observed in the 1000 Genomes panel. About 43,000 variants showed enriched allele frequencies in AGRP, consistent with drift. When combined with the 1000 Genomes Project reference panel, the AGRP substantially improved imputation, especially for rarer variants. The AGRP is freely available to researchers through an imputation server.
Published: 2017
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18. The Impact of the Human Genome Project on Complex Disease

Author: Jessica N. Cooke Bailey, Margaret A. Pericak-Vance, and Jonathan L. Haines
Subjects: human genome project, age-related macular degeneration, Alzheimer’s disease, multiple sclerosis, genetics, genomics, genome-wide association study, Genetics, QH426-470
Abstract: In the decade that has passed since the initial release of the Human Genome, numerous advancements in science and technology within and beyond genetics and genomics have been encouraged and enhanced by the availability of this vast and remarkable data resource. Progress in understanding three common, complex diseases: age-related macular degeneration (AMD), Alzheimer’s disease (AD), and multiple sclerosis (MS), are three exemplars of the incredible impact on the elucidation of the genetic architecture of disease. The approaches used in these diseases have been successfully applied to numerous other complex diseases. For example, the heritability of AMD was confirmed upon the release of the first genome-wide association study (GWAS) along with confirmatory reports that supported the findings of that state-of-the art method, thus setting the foundation for future GWAS in other heritable diseases. Following this seminal discovery and applying it to other diseases including AD and MS, the genetic knowledge of AD expanded far beyond the well-known APOE locus and now includes more than 20 loci. MS genetics saw a similar increase beyond the HLA loci and now has more than 100 known risk loci. Ongoing and future efforts will seek to define the remaining heritability of these diseases; the next decade could very well hold the key to attaining this goal.
Published: 2014
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19. APOE Promoter Polymorphism-219T/G is an Effect Modifier of the Influence of APOE ε4 on Alzheimer’s Disease Risk in a Multiracial Sample

Author: Kyu Yeong Choi, Jang Jae Lee, Tamil Iniyan Gunasekaran, Sarang Kang, Wooje Lee, Jangho Jeong, Ho Jae Lim, Xiaoling Zhang, Congcong Zhu, So-Yoon Won, Yu Yong Choi, Eun Hyun Seo, Seok Cheol Lee, Jungsoo Gim, Ji Yeon Chung, Ari Chong, Min Soo Byun, Sujin Seo, Pan-Woo Ko, Ji-Won Han, Catriona McLean, John Farrell, Kathryn L. Lunetta, Akinori Miyashita, Norikazu Hara, Sungho Won, Seong-Min Choi, Jung-Min Ha, Jee Hyang Jeong, Ryozo Kuwano, Min Kyung Song, Seong Soo A. An, Young Min Lee, Kyung Won Park, Ho-Won Lee, Seong Hye Choi, Sangmyung Rhee, Woo Keun Song, Jung Sup Lee, Richard Mayeux, Jonathan L. Haines, Margaret A. Pericak-Vance, IL Han Choo, Kwangsik Nho, Ki-Woong Kim, Dong Young Lee, SangYun Kim, Byeong C. Kim, Hoowon Kim, Gyungah R. Jun, Gerard D. Schellenberg, Takeshi Ikeuchi, Lindsay A. Farrer, Kun Ho Lee, and Alzheimer’s Disease Neuroimaging Initative
Subjects: APOE, promoter polymorphism, Alzheimer’s disease, ethnic variability, brain atrophy, genetic association, Medicine
Abstract: Variants in the APOE gene region may explain ethnic differences in the association of Alzheimer’s disease (AD) with ε4. Ethnic differences in allele frequencies for three APOE region SNPs (single nucleotide polymorphisms) were identified and tested for association in 19,398 East Asians (EastA), including Koreans and Japanese, 15,836 European ancestry (EuroA) individuals, and 4985 African Americans, and with brain imaging measures of cortical atrophy in sub-samples of Koreans and EuroAs. Among ε4/ε4 individuals, AD risk increased substantially in a dose-dependent manner with the number of APOE promoter SNP rs405509 T alleles in EastAs (TT: OR (odds ratio) = 27.02, p = 8.80 × 10−94; GT: OR = 15.87, p = 2.62 × 10−9) and EuroAs (TT: OR = 18.13, p = 2.69 × 10−108; GT: OR = 12.63, p = 3.44 × 10−64), and rs405509-T homozygotes had a younger onset and more severe cortical atrophy than those with G-allele. Functional experiments using APOE promoter fragments demonstrated that TT lowered APOE expression in human brain and serum. The modifying effect of rs405509 genotype explained much of the ethnic variability in the AD/ε4 association, and increasing APOE expression might lower AD risk among ε4 homozygotes.
Published: 2019
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20. Feasibility of High-Throughput Genome-Wide Genotyping using DNA from Stored Buccal Cell Samples

Author: Stephanie J. Loomis, Lana M. Olson, Louis R. Pasquale, Janey Wiggs, Daniel Mirel, Andrew Crenshaw, Melissa Parkin, Brandon Rahhal, Stephanie Tetreault, Peter Kraft, Shelley S. Tworoger, Jonathan L. Haines, and Jae H. Kang
Subjects: Medicine (General), R5-920
Abstract: It is unclear if buccal cell samples contain sufficient human DNA with adequately sized fragments for high throughput genetic bioassays. Yet buccal cell sample collection is an attractive alternative to gathering blood samples for genetic epidemiologists engaged in large-scale genetic biomarker studies. We assessed the genotyping efficiency (GE) and genotyping concordance (GC) of buccal cell DNA samples compared to corresponding blood DNA samples, from 32 Nurses’ Health Study (NHS) participants using the Illumina Infinium 660W-Quad platform. We also assessed how GE and GC accuracy varied as a function of DNA concentration using serial dilutions of buccal DNA samples. Finally we determined the nature and genomic distribution of discordant genotypes in buccal DNA samples. The mean GE of undiluted buccal cell DNA samples was high (99.32%), as was the GC between the paired buccal and blood samples (99.29%). GC between the dilutions versus the undiluted buccal DNA was also very high (.97%), though both GE and GC notably declined at DNA concentrations less than 5 ng/µl. Most (.95%) genotype determinations in buccal cell samples were of the “missing call” variety (as opposed to the “alternative genotype call” variety) across the spectrum of buccal DNA concentrations studied. Finally, for buccal DNA concentration above 1.7 ng/ul, discordant genotyping calls did not cluster in any particular chromosome. Buccal cell-derived DNA represents a viable alternative to blood DNA for genotyping on a high-density platform.
Published: 2010

21. eMERGEing progress in genomics---the first seven years

Author: Dana C. Crawford, David R. Crosslin, Gerard eTromp, Iftikhar J. Kullo, Helena eKuivaniemi, M. Geoffrey Hayes, Joshua C. Denny, William Scott Bush, Jonathan L. Haines, Dan M. Roden, Catherine Anne McCarty, Gail P. Jarvik, and Marylyn D. Ritchie
Subjects: pharmacogenomics, genome-wide association studies, Electronic Medical Records, biobanks, eMERGE newtork, Genetics, QH426-470
Abstract: The electronic MEdical Records & GEnomics (eMERGE) network was established in 2007 by the National Human Genome Research Institute (NHGRI) of the National Institutes of Health (NIH) in part to explore the utility of electronic medical records (EMRs) in genome science. The initial focus was on discovery primarily using the genome-wide association paradigm, but more recently, the network has begun evaluating mechanisms to implement new genomic information couple to clinical decision support into EMRs. Herein, we describe this evolution including the development of the individual and merged eMERGE genomic datasets, the contribution the network has made towards genomic discovery and human health, and the steps taken towards the next generation genotype-phenotype association studies and clinical implementation.
Published: 2014
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22. Correction: Is Genetically Associated with Late-Onset Alzheimer’s Disease in Japanese, Koreans and Caucasians.

Author: Akinori Miyashita, Asako Koike, Gyungah Jun, Li-San Wang, Satoshi Takahashi, Etsuro Matsubara, Takeshi Kawarabayashi, Mikio Shoji, Naoki Tomita, Hiroyuki Arai, Takashi Asada, Yasuo Harigaya, Masaki Ikeda, Masakuni Amari, Haruo Hanyu, Susumu Higuchi, Takeshi Ikeuchi, Masatoyo Nishizawa, Masaichi Suga, Yasuhiro Kawase, Hiroyasu Akatsu, Kenji Kosaka, Takayuki Yamamoto, Masaki Imagawa, Tsuyoshi Hamaguchi, Masahito Yamada, Takashi Morihara, Masatoshi Takeda, Takeo Takao, Kenji Nakata, Yoshikatsu Fujisawa, Ken Sasaki, Ken Watanabe, Kenji Nakashima, Katsuya Urakami, Terumi Ooya, Mitsuo Takahashi, Takefumi Yuzuriha, Kayoko Serikawa, Seishi Yoshimoto, Ryuji Nakagawa, Jong-Won Kim, Chang-Seok Ki, Hong-Hee Won, Duk L. Na, Sang Won Seo, Inhee Mook-Jung, Peter St. George-Hyslop, Richard Mayeux, Jonathan L. Haines, Margaret A. Pericak-Vance, Makiko Yoshida, Nao Nishida, Katsushi Tokunaga, Ken Yamamoto, Shoji Tsuji, Ichiro Kanazawa, Yasuo Ihara, Gerard D. Schellenberg, Lindsay A. Farrer, and Ryozo Kuwano
Subjects: Medicine, Science
Published: 2013
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23. The Application of Genetic Risk Scores in Age-Related Macular Degeneration: A Review

Author: Jessica N. Cooke Bailey, Joshua D. Hoffman, Rebecca J. Sardell, William K. Scott, Margaret A. Pericak-Vance, and Jonathan L. Haines
Subjects: age-related macular degeneration (AMD), genetics, risk score, Medicine
Abstract: Age-related macular degeneration (AMD), a highly prevalent and impactful disease of aging, is inarguably influenced by complex interactions between genetic and environmental factors. Various risk scores have been tested that assess measurable genetic and environmental contributions to disease. We herein summarize and review the ability and utility of these numerous models for prediction of AMD and suggest additional risk factors to be incorporated into clinically useful predictive models of AMD.
Published: 2016
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24. Hadoop and PySpark for Reproducibility and Scalability of Genomic Sequencing Studies.

Author: Nicholas R. Wheeler, Penelope Benchek, Brian W. Kunkle, Kara L. Hamilton-Nelson, MikeWarfe, Jeremy R. Fondran, Jonathan L. Haines, and William S. Bush
Published: 2020

25. Functional annotation of genomic variants in studies of late-onset Alzheimer's disease.

Author: Mariusz Butkiewicz, Elizabeth E. Blue, Yuk Yee Leung, Xueqiu Jian, Edoardo Marcora, Alan E. Renton, Amanda Kuzma, Li-San Wang, Daniel C. Koboldt, Jonathan L. Haines, and William S. Bush
Published: 2018
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26. Leveraging African American family connectors for Alzheimer's disease genomic studies

Author: Grace Byfield, Takiyah D. Starks, Ronqeiya Luther, Christopher L. Edwards, Shawnta L. Lloyd, Allison Caban‐Holt, Larry Deon Adams, Jeffery M. Vance, Michael Cuccaro, Jonathan L. Haines, Christiane Reitz, Margaret A. Pericak‐Vance, and Goldie S. Byrd
Subjects: Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published: 2023

27. Assessment of intraretinal hyperreflective foci using multimodal imaging in eyes with age‐related macular degeneration

Author: Deniz Oncel, Giulia Corradetti, Ye He, Maryam Ashrafkhorasani, Muneeswar Gupta Nittala, Dwight Stambolian, Margaret A. Pericak‐Vance, Jonathan L. Haines, and Srinivas R. Sadda
Subjects: Ophthalmology, General Medicine
Published: 2023

28. Drusen morphometrics on optical coherence tomography in eyes with age-related macular degeneration and normal aging

Author: Deniz Oncel, Giulia Corradetti, Yu Wakatsuki, Muneeswar Gupta Nittala, Swetha Bindu Velaga, Dwight Stambolian, Margaret A. Pericak-Vance, Jonathan L. Haines, and SriniVas R. Sadda
Subjects: Cellular and Molecular Neuroscience, Ophthalmology, Sensory Systems
Published: 2023

29. Mitochondrial Variation and the Risk of Age-Related Macular Degeneration Across Diverse Populations.

Author: Nicole A. Restrepo, Sabrina L. Mitchell, Robert J. Goodloe, Deborah G. Murdock, Jonathan L. Haines, and Dana C. Crawford
Published: 2015

30. Sex differences in the genetic architecture of cognitive resilience to Alzheimer’s disease

Author: Jaclyn M, Eissman, Logan, Dumitrescu, Emily R, Mahoney, Alexandra N, Smith, Shubhabrata, Mukherjee, Michael L, Lee, Phoebe, Scollard, Seo Eun, Choi, William S, Bush, Corinne D, Engelman, Qiongshi, Lu, David W, Fardo, Emily H, Trittschuh, Jesse, Mez, Catherine C, Kaczorowski, Hector, Hernandez Saucedo, Keith F, Widaman, Rachel F, Buckley, Michael J, Properzi, Elizabeth C, Mormino, Hyun Sik, Yang, Theresa M, Harrison, Trey, Hedden, Kwangsik, Nho, Shea J, Andrews, Douglas, Tommet, Niran, Hadad, R Elizabeth, Sanders, Douglas M, Ruderfer, Katherine A, Gifford, Xiaoyuan, Zhong, Neha S, Raghavan, Badri N, Vardarajan, Margaret A, Pericak-Vance, Lindsay A, Farrer, Li San, Wang, Carlos, Cruchaga, Gerard D, Schellenberg, Nancy J, Cox, Jonathan L, Haines, C Dirk, Keene, Andrew J, Saykin, Eric B, Larson, Reisa A, Sperling, Richard, Mayeux, Michael L, Cuccaro, David A, Bennett, Julie A, Schneider, Paul K, Crane, Angela L, Jefferson, and Timothy J, Hohman
Subjects: Male, Sex Characteristics, Cognition, Multiple Sclerosis, Alzheimer Disease, Humans, Cognitive Dysfunction, Female, Genetic Predisposition to Disease, Neurology (clinical), Genome-Wide Association Study
Abstract: Approximately 30% of elderly adults are cognitively unimpaired at time of death despite the presence of Alzheimer’s disease neuropathology at autopsy. Studying individuals who are resilient to the cognitive consequences of Alzheimer’s disease neuropathology may uncover novel therapeutic targets to treat Alzheimer’s disease. It is well established that there are sex differences in response to Alzheimer’s disease pathology, and growing evidence suggests that genetic factors may contribute to these differences. Taken together, we sought to elucidate sex-specific genetic drivers of resilience. We extended our recent large scale genomic analysis of resilience in which we harmonized cognitive data across four cohorts of cognitive ageing, in vivo amyloid PET across two cohorts, and autopsy measures of amyloid neuritic plaque burden across two cohorts. These data were leveraged to build robust, continuous resilience phenotypes. With these phenotypes, we performed sex-stratified [n (males) = 2093, n (females) = 2931] and sex-interaction [n (both sexes) = 5024] genome-wide association studies (GWAS), gene and pathway-based tests, and genetic correlation analyses to clarify the variants, genes and molecular pathways that relate to resilience in a sex-specific manner. Estimated among cognitively normal individuals of both sexes, resilience was 20–25% heritable, and when estimated in either sex among cognitively normal individuals, resilience was 15–44% heritable. In our GWAS, we identified a female-specific locus on chromosome 10 [rs827389, β (females) = 0.08, P (females) = 5.76 × 10−09, β (males) = −0.01, P(males) = 0.70, β (interaction) = 0.09, P (interaction) = 1.01 × 10−04] in which the minor allele was associated with higher resilience scores among females. This locus is located within chromatin loops that interact with promoters of genes involved in RNA processing, including GATA3. Finally, our genetic correlation analyses revealed shared genetic architecture between resilience phenotypes and other complex traits, including a female-specific association with frontotemporal dementia and male-specific associations with heart rate variability traits. We also observed opposing associations between sexes for multiple sclerosis, such that more resilient females had a lower genetic susceptibility to multiple sclerosis, and more resilient males had a higher genetic susceptibility to multiple sclerosis. Overall, we identified sex differences in the genetic architecture of resilience, identified a female-specific resilience locus and highlighted numerous sex-specific molecular pathways that may underly resilience to Alzheimer’s disease pathology. This study illustrates the need to conduct sex-aware genomic analyses to identify novel targets that are unidentified in sex-agnostic models. Our findings support the theory that the most successful treatment for an individual with Alzheimer’s disease may be personalized based on their biological sex and genetic context.
Published: 2022

31. Genetic variants in the SHISA6 gene are associated with delayed cognitive impairment in two family datasets

Author: Jairo Ramos, Laura J. Caywood, Michael B. Prough, Jason E. Clouse, Sharlene D. Herington, Susan H. Slifer, M. Denise Fuzzell, Sarada L. Fuzzell, Sherri D. Hochstetler, Kristy L. Miskimen, Leighanne R. Main, Michael D. Osterman, Andrew F. Zaman, Patrice L. Whitehead, Larry D. Adams, Renee A. Laux, Yeunjoo E. Song, Tatiana M. Foroud, Richard P. Mayeux, Peter St. George‐Hyslop, Paula K. Ogrocki, Alan J. Lerner, Jeffery M. Vance, Michael L. Cuccaro, Jonathan L. Haines, Margaret A. Pericak‐Vance, and William K. Scott
Subjects: Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Abstract: Studies of cognitive impairment (CI) in Amish communities have identified sibships containing CI and cognitively unimpaired (CU) individuals. We hypothesize that CU individuals may carry protective alleles delaying age at onset (AAO) of CI.A total of 1522 individuals screened for CI were genotyped. The outcome studied was AAO for CI individuals or age at last normal exam for CU individuals. Cox mixed-effects models examined association between age and single nucleotide variants (SNVs).Three SNVs were significantly associated (P5 × 10The replicated genome-wide significant association with AAO on chromosome 17 is located in the SHISA6 gene, which is involved in post-synaptic transmission in the hippocampus and is a biologically plausible candidate gene for Alzheimer's disease.
Published: 2022

32. Admixture Mapping of Alzheimer’s disease in Caribbean Hispanics identifies a new locus on 22q13.1

Author: Caghan Kizil, Sanjeev Sariya, Yoon A. Kim, Farid Rajabli, Eden Martin, Dolly Reyes-Dumeyer, Badri Vardarajan, Aleyda Maldonado, Jonathan L. Haines, Richard Mayeux, Ivonne Z. Jiménez-Velázquez, Ismael Santa-Maria, and Giuseppe Tosto
Subjects: genetics [Alzheimer Disease], Polymorphism, Single Nucleotide, Cellular and Molecular Neuroscience, Psychiatry and Mental health, Caribbean Region, Alzheimer Disease, Ethnicity, genetics [Polymorphism, Single Nucleotide], Animals, Humans, Drosophila, ddc:610, Molecular Biology, Zebrafish
Abstract: Late-onset Alzheimer's disease (LOAD) is significantly more frequent in Hispanics than in non-Hispanic Whites. Ancestry may explain these differences across ethnic groups. To this end, we studied a large cohort of Caribbean Hispanics (CH, N = 8813) and tested the association between Local Ancestry (LA) and LOAD ('admixture mapping') to identify LOAD-associated ancestral blocks, separately for ancestral components (European [EUR], African [AFR], Native American[NA]) and jointly (AFR + NA). Ancestral blocks significant after permutation were fine-mapped employing multi-ethnic whole-exome sequencing (WES) to identify rare variants associated with LOAD (SKAT-O) and replicated in the UK Biobank WES dataset. Candidate genes were validated studying (A) protein expression in human LOAD and control brains; (B) two animal AD models, Drosophila and Zebrafish. In the joint AFR + NA model, we identified four significant ancestral blocks located on chromosomes 1 (p value = 8.94E-05), 6 (p value = 8.63E-05), 21 (p value = 4.64E-05) and 22 (p value = 1.77E-05). Fine-mapping prioritized the GCAT gene on chromosome 22 (SKAT-O p value = 3.45E-05) and replicated in the UK Biobank (SKAT-O p value = 0.05). In LOAD brains, a decrease of 28% in GCAT protein expression was observed (p value = 0.038), and GCAT knockdown in Amyloid-β42 Drosophila exacerbated rough eye phenotype (68% increase, p value = 4.84E-09). In zebrafish, gcat expression increased after acute amyloidosis (34%, p value = 0.0049), and decreased upon anti-inflammatory Interleukin-4 (39%, p value = 2.3E-05). Admixture mapping uncovered genomic regions harboring new LOAD-associated loci that might explain the observed different frequency of LOAD across ethnic groups. Our results suggest that the inflammation-related activity of GCAT is a response to amyloid toxicity, and reduced GCAT expression exacerbates AD pathology.
Published: 2022

33. New insights into the genetic etiology of Alzheimer's disease and related dementias

Author: Bellenguez, C., Küçükali, F., Jansen, I. E., Kleineidam, L., Moreno-Grau, S., Amin, N., Naj, A. C., Campos-Martin, R., Grenier-Boley, B., Andrade, V., Holmans, P. A., Boland, A., Damotte, V., van der Lee, S. J., Costa, M. R., Kuulasmaa, T., Yang, Q., de Rojas, I., Bis, J. C., Yaqub, A., Prokic, I., Chapuis, J., Ahmad, S., Giedraitis, V., Aarsland, D., Garcia-Gonzalez, P., Abdelnour, C., Alarcón-Martín, E., Alcolea, D., Alegret, M., Alvarez, I., Álvarez, V., Armstrong, N. J., Tsolaki, A., Antúnez, C., Appollonio, I., Arcaro, M., Archetti, S., Pastor, A. A., Arosio, B., Athanasiu, L., Bailly, H., Banaj, N., Baquero, M., Barral, S., Beiser, A., Pastor, A. B., Below, J. E., Benchek, P., Benussi, L., Berr, C., Besse, C., Bessi, V., Binetti, G., Bizarro, A., Blesa, R., Boada, M., Boerwinkle, E., Borroni, B., Boschi, S., Bossù, P., Bråthen, G., Bressler, J., Bresner, C., Brodaty, H., Brookes, K. J., Brusco, L. I., Buiza-Rueda, D., Bûrger, K., Burholt, V., Bush, W. S., Calero, M., Cantwell, L. B., Chene, G., Chung, J., Cuccaro, M. L., Carracedo, Á., Cecchetti, R., Cervera-Carles, L., Charbonnier, C., Chen, H. -H., Chillotti, C., Ciccone, S., Claassen, J. A. H. R., Clark, C., Conti, E., Corma-Gómez, A., Costantini, E., Custodero, C., Daian, D., Dalmasso, M. C., Daniele, A., Dardiotis, E., Dartigues, J. -F., de Deyn, P. P., de Paiva Lopes, K., de Witte, L. D., Debette, S., Deckert, J., del Ser, T., Denning, N., Destefano, A., Dichgans, M., Diehl-Schmid, J., Diez-Fairen, M., Rossi, P. D., Djurovic, S., Duron, E., Düzel, E., Dufouil, C., Eiriksdottir, G., Engelborghs, S., Escott-Price, V., Espinosa, A., Ewers, M., Faber, K. M., Fabrizio, T., Nielsen, S. F., Fardo, D. W., Farotti, L., Fenoglio, C., Fernández-Fuertes, M., Ferrari, R., Ferreira, C. B., Ferri, E., Fin, B., Fischer, P., Fladby, T., Fließbach, K., Fongang, B., Fornage, M., Fortea, J., Foroud, T. M., Fostinelli, S., Fox, N. C., Franco-Macías, E., Bullido, M. J., Frank-García, A., Froelich, L., Fulton-Howard, B., Galimberti, D., García-Alberca, J. M., García-González, P., Garcia-Madrona, S., Garcia-Ribas, G., Ghidoni, R., Giegling, I., Giorgio, G., Goate, A. M., Goldhardt, O., Gomez-Fonseca, D., González-Pérez, A., Graff, C., Grande, G., Green, E., Grimmer, T., Grünblatt, E., Grunin, M., Gudnason, V., Guetta-Baranes, T., Haapasalo, A., Hadjigeorgiou, G., Haines, J. L., Hamilton-Nelson, K. L., Hampel, H., Hanon, O., Hardy, J., Hartmann, A. M., Hausner, L., Harwood, J., Heilmann-Heimbach, S., Helisalmi, S., Heneka, M. T., Hernández, I., Herrmann, M. J., Hoffmann, P., Holmes, C., Holstege, H., Vilas, R. H., Hulsman, M., Humphrey, J., Biessels, G. J., Jian, X., Johansson, C., Jun, G. R., Kastumata, Y., Kauwe, J., Kehoe, P. G., Kilander, L., Ståhlbom, A. K., Kivipelto, M., Koivisto, A., Kornhuber, J., Kosmidis, M. H., Kukull, W. A., Kuksa, P. P., Kunkle, B. W., Kuzma, A. B., Lage, C., Laukka, E. J., Launer, L., Lauria, A., Lee, C. -Y., Lehtisalo, J., Lerch, O., Lleó, A., Longstreth, W., Lopez, O., de Munain, A. L., Love, S., Löwemark, M., Luckcuck, L., Lunetta, K. L., Ma, Y., Macías, J., Macleod, C. A., Maier, W., Mangialasche, F., Spallazzi, M., Marquié, M., Marshall, R., Martin, E. R., Montes, A. M., Rodríguez, C. M., Masullo, C., Mayeux, R., Mead, S., Mecocci, P., Medina, M., Meggy, A., Mehrabian, S., Mendoza, S., Menéndez-González, M., Mir, P., Moebus, S., Mol, M., Molina-Porcel, L., Montrreal, L., Morelli, L., Moreno, F., Morgan, K., Mosley, T., Nöthen, M. M., Muchnik, C., Mukherjee, S., Nacmias, B., Ngandu, T., Nicolas, G., Nordestgaard, B. G., Olaso, R., Orellana, A., Orsini, M., Ortega, G., Padovani, A., Paolo, C., Papenberg, G., Parnetti, L., Pasquier, F., Pastor, P., Peloso, G., Pérez-Cordón, A., Pérez-Tur, J., Pericard, P., Peters, O., Pijnenburg, Y. A. L., Pineda, J. A., Piñol-Ripoll, G., Pisanu, C., Polak, T., Popp, J., Posthuma, D., Priller, J., Puerta, R., Quenez, O., Quintela, I., Thomassen, J. Q., Rábano, A., Rainero, I., Rajabli, F., Ramakers, I., Real, L. M., Reinders, M. J. T., Reitz, C., Reyes-Dumeyer, D., Ridge, P., Riedel-Heller, S., Riederer, P., Roberto, N., Rodriguez-Rodriguez, E., Rongve, A., Allende, I. R., Rosende-Roca, M., Royo, J. L., Rubino, E., Rujescu, D., Sáez, M. E., Sakka, P., Saltvedt, I., Sanabria, Á., Sánchez-Arjona, M. B., Sanchez-Garcia, F., Juan, P. S., Sánchez-Valle, R., Sando, S. B., Sarnowski, C., Satizabal, C. L., Scamosci, M., Scarmeas, N., Scarpini, E., Scheltens, P., Scherbaum, N., Scherer, M., Schmid, M., Schneider, A., Schott, J. M., Selbæk, G., Seripa, D., Serrano, M., Sha, J., Shadrin, A. A., Skrobot, O., Slifer, S., Snijders, G. J. L., Soininen, H., Solfrizzi, V., Solomon, A., Song, Y. E., Sorbi, S., Sotolongo-Grau, O., Spalletta, G., Spottke, A., Squassina, A., Stordal, E., Tartan, J. P., Tárraga, L., Tesí, N., Thalamuthu, A., Thomas, T., Tosto, G., Traykov, L., Tremolizzo, L., Tybjærg-Hansen, A., Uitterlinden, A., Ullgren, A., Ulstein, I., Valero, S., Valladares, O., Broeckhoven, C. V., Vance, J., Vardarajan, B. N., van der Lugt, A., Dongen, J. V., van Rooij, J., van Swieten, J., Vandenberghe, R., Verhey, F., Vidal, J. -S., Vogelgsang, J., Vyhnalek, M., Wagner, M., Wallon, D., Wang, L. -S., Wang, R., Weinhold, L., Wiltfang, J., Windle, G., Woods, B., Yannakoulia, M., Zare, H., Zhao, Y., Zhang, X., Zhu, C., Zulaica, M., Laczo, J., Matoska, V., Serpente, M., Assogna, F., Piras, F., Ciullo, V., Shofany, J., Ferrarese, C., Andreoni, S., Sala, G., Zoia, C. P., Zompo, M. D., Benussi, A., Bastiani, P., Takalo, M., Natunen, T., Laatikainen, T., Tuomilehto, J., Antikainen, R., Strandberg, T., Lindström, J., Peltonen, M., Abraham, R., Al-Chalabi, A., Bass, N. J., Brayne, C., Brown, K. S., Collinge, J., Craig, D., Deloukas, P., Fox, N., Gerrish, A., Gill, M., Gwilliam, R., Harold, D., Hollingworth, P., Johnston, J. A., Jones, L., Lawlor, B., Livingston, G., Lovestone, S., Lupton, M., Lynch, A., Mann, D., Mcguinness, B., Mcquillin, A., O’Donovan, M. C., Owen, M. J., Passmore, P., Powell, J. F., Proitsi, P., Rossor, M., Shaw, C. E., Smith, A. D., Gurling, H., Todd, S., Mummery, C., Ryan, N., Lacidogna, G., Adarmes-Gómez, A., Mauleón, A., Pancho, A., Gailhajenet, A., Lafuente, A., Macias-García, D., Martín, E., Pelejà, E., Carrillo, F., Merlín, I. S., Garrote-Espina, L., Vargas, L., Carrion-Claro, M., Marín, M., Labrador, M., Buendia, M., Alonso, M. D., Guitart, M., Moreno, M., Ibarria, M., Periñán, M., Aguilera, N., Gómez-Garre, P., Cañabate, P., Escuela, R., Pineda-Sánchez, R., Vigo-Ortega, R., Jesús, S., Preckler, S., Rodrigo-Herrero, S., Diego, S., Vacca, A., Roveta, F., Salvadori, N., Chipi, E., Boecker, H., Laske, C., Perneczky, R., Anastasiou, C., Janowitz, D., Malik, R., Anastasiou, A., Parveen, K., López-García, S., Antonell, A., Mihova, K. Y., Belezhanska, D., Weber, H., Kochen, S., Solis, P., Medel, N., Lisso, J., Sevillano, Z., Politis, D. G., Cores, V., Cuesta, C., Ortiz, C., Bacha, J. I., Rios, M., Saenz, A., Abalos, M. S., Kohler, E., Palacio, D. L., Etchepareborda, I., Kohler, M., Novack, G., Prestia, F. A., Galeano, P., Castaño, E. M., Germani, S., Toso, C. R., Rojo, M., Ingino, C., Mangone, C., Rubinsztein, D. C., Teipel, S., Fievet, N., Deramerourt, V., Forsell, C., Thonberg, H., Bjerke, M., Roeck, E. D., Martínez-Larrad, M. T., Olivar, N., Cano, A., Macias, J., Maroñas, O., Nuñez-Llaves, R., Olivé, C., Adarmes-Gómez, A. D., Amer-Ferrer, G., Antequera, M., Burguera, J. A., Casajeros, M. J., Martinez de Pancorbo, M., Hevilla, S., Espinosa, M. A. L., Legaz, A., Manzanares, S., Marín-Muñoz, J., Marín, T., Martínez, B., Martínez, V., Martínez-Lage Álvarez, P., Iriarte, M. M., Periñán-Tocino, M. T., Real de Asúa, D., Rodrigo, S., Sastre, I., Vicente, M. P., Vivancos, L., Epelbaum, J., Hannequin, D., Campion, D., Deramecourt, V., Tzourio, C., Brice, A., Dubois, B., Williams, A., Thomas, C., Davies, C., Nash, W., Dowzell, K., Morales, A. C., Bernardo-Harrington, M., Turton, J., Lord, J., Brown, K., Vardy, E., Fisher, E., Warren, J. D., Ryan, N. S., Guerreiro, R., Uphill, J., Bass, N., Heun, R., Kölsch, H., Schürmann, B., Lacour, A., Herold, C., Powell, J., Patel, Y., Hodges, A., Becker, T., Warden, D., Wilcock, G., Clarke, R., Ben-Shlomo, Y., Hooper, N. M., Pickering-Brown, S., Sussams, R., Warner, N., Bayer, A., Heuser, I., Drichel, D., Klopp, N., Mayhaus, M., Riemenschneider, M., Pinchler, S., Feulner, T., Gu, W., van den Bussche, H., Hüll, M., Frölich, L., Wichmann, H. -E., Jöckel, K. -H., O’Donovan, M., Owen, M., Bahrami, S., Bosnes, I., Selnes, P., Bergh, S., Palotie, A., Daly, M., Jacob, H., Matakidou, A., Runz, H., John, S., Plenge, R., Mccarthy, M., Hunkapiller, J., Ehm, M., Waterworth, D., Fox, C., Malarstig, A., Klinger, K., Call, K., Behrens, T., Loerch, P., Mäkelä, T., Kaprio, J., Virolainen, P., Pulkki, K., Kilpi, T., Perola, M., Partanen, J., Pitkäranta, A., Kaarteenaho, R., Vainio, S., Turpeinen, M., Serpi, R., Laitinen, T., Mäkelä, J., Kosma, V. -M., Kujala, U., Tuovila, O., Hendolin, M., Pakkanen, R., Waring, J., Riley-Gillis, B., Liu, J., Biswas, S., Diogo, D., Marshall, C., Hu, X., Gossel, M., Graham, R., Cummings, B., Ripatti, S., Schleutker, J., Arvas, M., Carpén, O., Hinttala, R., Kettunen, J., Mannermaa, A., Laukkanen, J., Julkunen, V., Remes, A., Kälviäinen, R., Peltola, J., Tienari, P., Rinne, J., Ziemann, A., Esmaeeli, S., Smaoui, N., Lehtonen, A., Eaton, S., Lahdenperä, S., van Adelsberg, J., Michon, J., Kerchner, G., Bowers, N., Teng, E., Eicher, J., Mehta, V., Gormley, P., Linden, K., Whelan, C., Xu, F., Pulford, D., Färkkilä, M., Pikkarainen, S., Jussila, A., Blomster, T., Kiviniemi, M., Voutilainen, M., Georgantas, B., Heap, G., Rahimov, F., Usiskin, K., Lu, T., Oh, D., Kalpala, K., Miller, M., Mccarthy, L., Eklund, K., Palomäki, A., Isomäki, P., Pirilä, L., Kaipiainen-Seppänen, O., Huhtakangas, J., Lertratanakul, A., Hochfeld, M., Bing, N., Gordillo, J. E., Mars, N., Pelkonen, M., Kauppi, P., Kankaanranta, H., Harju, T., Close, D., Greenberg, S., Chen, H., Betts, J., Ghosh, S., Salomaa, V., Niiranen, T., Juonala, M., Metsärinne, K., Kähönen, M., Junttila, J., Laakso, M., Pihlajamäki, J., Sinisalo, J., Taskinen, M. -R., Tuomi, T., Challis, B., Peterson, A., Chu, A., Parkkinen, J., Muslin, A., Joensuu, H., Meretoja, T., Aaltonen, L., Mattson, J., Auranen, A., Karihtala, P., Kauppila, S., Auvinen, P., Elenius, K., Popovic, R., Schutzman, J., Loboda, A., Chhibber, A., Lehtonen, H., Mcdonough, S., Crohns, M., Kulkarni, D., Kaarniranta, K., Turunen, J. A., Ollila, T., Seitsonen, S., Uusitalo, H., Aaltonen, V., Uusitalo-Järvinen, H., Luodonpää, M., Hautala, N., Loomis, S., Strauss, E., Podgornaia, A., Hoffman, J., Tasanen, K., Huilaja, L., Hannula-Jouppi, K., Salmi, T., Peltonen, S., Koulu, L., Harvima, I., Wu, Y., Choy, D., Pussinen, P., Salminen, A., Salo, T., Rice, D., Nieminen, P., Palotie, U., Siponen, M., Suominen, L., Mäntylä, P., Gursoy, U., Anttonen, V., Sipilä, K., Davis, J. W., Quarless, D., Petrovski, S., Wigmore, E., Chen, C. -Y., Bronson, P., Tsai, E., Huang, Y., Maranville, J., Shaikho, E., Mohammed, E., Wadhawan, S., Kvikstad, E., Caliskan, M., Chang, D., Bhangale, T., Pendergrass, S., Holzinger, E., Chen, X., Hedman, Å., King, K. S., Wang, C., Xu, E., Auge, F., Chatelain, C., Rajpal, D., Liu, D., Xia, T. -H., Brauer, M., Kurki, M., Karjalainen, J., Havulinna, A., Jalanko, A., Palta, P., della Briotta Parolo, P., Zhou, W., Lemmelä, S., Rivas, M., Harju, J., Lehisto, A., Ganna, A., Llorens, V., Laivuori, H., Rüeger, S., Niemi, M. E., Tukiainen, T., Reeve, M. P., Heyne, H., Palin, K., Garcia-Tabuenca, J., Siirtola, H., Kiiskinen, T., Lee, J., Tsuo, K., Elliott, A., Kristiansson, K., Hyvärinen, K., Ritari, J., Koskinen, M., Pylkäs, K., Kalaoja, M., Karjalainen, M., Mantere, T., Kangasniemi, E., Heikkinen, S., Laakkonen, E., Sipeky, C., Heron, S., Karlsson, A., Jambulingam, D., Rathinakannan, V. S., Kajanne, R., Aavikko, M., Jiménez, M. G., della Briotta Parola, P., Kanai, M., Kaunisto, M., Kilpeläinen, E., Sipilä, T. P., Brein, G., Awaisa, G., Shcherban, A., Donner, K., Loukola, A., Laiho, P., Sistonen, T., Kaiharju, E., Laukkanen, M., Järvensivu, E., Lähteenmäki, S., Männikkö, L., Wong, R., Mattsson, H., Hiekkalinna, T., Paajanen, T., Pärn, K., Gracia-Tabuenca, J., Abner, E., Adams, P. M., Aguirre, A., Albert, M. S., Albin, R. L., Allen, M., Alvarez, L., Apostolova, L. G., Arnold, S. E., Asthana, S., Atwood, C. S., Ayres, G., Baldwin, C. T., Barber, R. C., Barnes, L. L., Beach, T. G., Becker, J. T., Beecham, G. W., Beekly, D., Benitez, B. A., Bennett, D., Bertelson, J., Margaret, F. E., Bird, T. D., Blacker, D., Boeve, B. F., Bowen, J. D., Boxer, A., Brewer, J., Burke, J. R., Burns, J. M., Buxbaum, J. D., Cairns, N. J., Cao, C., Carlson, C. S., Carlsson, C. M., Carney, R. M., Carrasquillo, M. M., Chasse, S., Chesselet, M. -F., Chesi, A., Chin, N. A., Chui, H. C., Craft, S., Crane, P. K., Cribbs, D. H., Crocco, E. A., Cruchaga, C., Cullum, M., Darby, E., Davis, B., De Jager, P. 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M, Rossi, P, Djurovic, S, Duron, E, Düzel, E, Dufouil, C, Eiriksdottir, G, Engelborghs, S, Escott-Price, V, Espinosa, A, Ewers, M, Faber, K, Fabrizio, T, Nielsen, S, Fardo, D, Farotti, L, Fenoglio, C, Fernández-Fuertes, M, Ferrari, R, Ferreira, C, Ferri, E, Fin, B, Fischer, P, Fladby, T, Fließbach, K, Fongang, B, Fornage, M, Fortea, J, Foroud, T, Fostinelli, S, Fox, N, Franco-Macías, E, Bullido, M, Frank-García, A, Froelich, L, Fulton-Howard, B, Galimberti, D, García-Alberca, J, García-González, P, Garcia-Madrona, S, Garcia-Ribas, G, Ghidoni, R, Giegling, I, Giorgio, G, Goate, A, Goldhardt, O, Gomez-Fonseca, D, González-Pérez, A, Graff, C, Grande, G, Green, E, Grimmer, T, Grünblatt, E, Grunin, M, Gudnason, V, Guetta-Baranes, T, Haapasalo, A, Hadjigeorgiou, G, Haines, J, Hamilton-Nelson, K, Hampel, H, Hanon, O, Hardy, J, Hartmann, A, Hausner, L, Harwood, J, Heilmann-Heimbach, S, Helisalmi, S, Heneka, M, Hernández, I, Herrmann, M, Hoffmann, P, Holmes, C, Holstege, H, Vilas, R, Hulsman, M, Humphrey, J, Biessels, G, Jian, X, Johansson, C, Jun, G, Kastumata, Y, Kauwe, J, Kehoe, P, Kilander, L, Ståhlbom, A, Kivipelto, M, Koivisto, A, Kornhuber, J, Kosmidis, M, Kukull, W, Kuksa, P, Kunkle, B, Kuzma, A, Lage, C, Laukka, E, Launer, L, Lauria, A, Lee, C, Lehtisalo, J, Lerch, O, Lleó, A, Longstreth, W, Lopez, O, de Munain, A, Love, S, Löwemark, M, Luckcuck, L, Lunetta, K, Ma, Y, Macías, J, Macleod, C, Maier, W, Mangialasche, F, Spallazzi, M, Marquié, M, Marshall, R, Martin, E, Montes, A, Rodríguez, C, Masullo, C, Mayeux, R, Mead, S, Mecocci, P, Medina, M, Meggy, A, Mehrabian, S, Mendoza, S, Menéndez-González, M, Mir, P, Moebus, S, Mol, M, Molina-Porcel, L, Montrreal, L, Morelli, L, Moreno, F, Morgan, K, Mosley, T, Nöthen, M, Muchnik, C, Mukherjee, S, Nacmias, B, Ngandu, T, Nicolas, G, Nordestgaard, B, Olaso, R, Orellana, A, Orsini, M, Ortega, G, Padovani, A, Paolo, C, Papenberg, G, Parnetti, L, Pasquier, F, Pastor, P, Peloso, G, Pérez-Cordón, A, Pérez-Tur, J, Pericard, P, Peters, O, Pijnenburg, Y, Pineda, J, Piñol-Ripoll, G, Pisanu, C, Polak, T, Popp, J, Posthuma, D, Priller, J, Puerta, R, Quenez, O, Quintela, I, Thomassen, J, Rábano, A, Rainero, I, Rajabli, F, Ramakers, I, Real, L, Reinders, M, Reitz, C, Reyes-Dumeyer, D, Ridge, P, Riedel-Heller, S, Riederer, P, Roberto, N, Rodriguez-Rodriguez, E, Rongve, A, Allende, I, Rosende-Roca, M, Royo, J, Rubino, E, Rujescu, D, Sáez, M, Sakka, P, Saltvedt, I, Sanabria, Á, Sánchez-Arjona, M, Sanchez-Garcia, F, Juan, P, Sánchez-Valle, R, Sando, S, Sarnowski, C, Satizabal, C, Scamosci, M, Scarmeas, N, Scarpini, E, Scheltens, P, Scherbaum, N, Scherer, M, Schmid, M, Schneider, A, Schott, J, Selbæk, G, Seripa, D, Serrano, M, Sha, J, Shadrin, A, Skrobot, O, Slifer, S, Snijders, G, Soininen, H, Solfrizzi, V, Solomon, A, Song, Y, Sorbi, S, Sotolongo-Grau, O, Spalletta, G, Spottke, A, Squassina, A, Stordal, E, Tartan, J, Tárraga, L, Tesí, N, Thalamuthu, A, Thomas, T, Tosto, G, Traykov, L, Tremolizzo, L, Tybjærg-Hansen, A, Uitterlinden, A, Ullgren, A, Ulstein, I, Valero, S, Valladares, O, Broeckhoven, C, Vance, J, Vardarajan, B, van der Lugt, A, Dongen, J, van Rooij, J, van Swieten, J, Vandenberghe, R, Verhey, F, Vidal, J, Vogelgsang, J, Vyhnalek, M, Wagner, M, Wallon, D, Wang, L, Wang, R, Weinhold, L, Wiltfang, J, Windle, G, Woods, B, Yannakoulia, M, Zare, H, Zhao, Y, Zhang, X, Zhu, C, Zulaica, M, Andreoni, S, Ferrarese, C, Sala, G, Zoia, C, Farrer, L, Psaty, B, Ghanbari, M, Raj, T, Sachdev, P, Mather, K, Jessen, F, Ikram, M, de Mendonça, A, Hort, J, Tsolaki, M, Pericak-Vance, M, Amouyel, P, Williams, J, Frikke-Schmidt, R, Clarimon, J, Deleuze, J, Rossi, G, Seshadri, S, Andreassen, O, Ingelsson, M, Hiltunen, M, Sleegers, K, Schellenberg, G, van Duijn, C, Sims, R, van der Flier, W, Ruiz, A, Ramirez, A, Lambert, J, VU University medical center, Amsterdam Neuroscience - Neurodegeneration, Neurology, Human genetics, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, APH - Personalized Medicine, APH - Methodology, Bellenguez, Céline [0000-0002-1240-7874], Küçükali, Fahri [0000-0002-3835-9639], Amin, Najaf [0000-0002-8944-1771], Holmans, Peter A [0000-0003-0870-9412], van der Lee, Sven J [0000-0003-1606-8643], Costa, Marcos R [0000-0002-4928-2163], Kuulasmaa, Teemu [0000-0002-1795-7314], Yang, Qiong [0000-0002-3658-1375], de Rojas, Itziar [0000-0002-2148-381X], Bis, Joshua C [0000-0002-3409-1110], Yaqub, Amber [0000-0002-3579-8054], Prokic, Ivana [0000-0002-0370-1473], Chapuis, Julien [0000-0002-5802-2857], Ahmad, Shahzad [0000-0002-8658-3790], Giedraitis, Vilmantas [0000-0003-3423-2021], Garcia-Gonzalez, Pablo [0000-0003-0125-5403], Alcolea, Daniel [0000-0002-3819-3245], Alvarez, Ignacio [0000-0002-8537-3935], Tsolaki, Anthoula [0000-0002-5563-7776], Baquero, Miquel [0000-0002-6861-1831], Pastor, Ana Belén [0000-0001-9637-4688], Berr, Claudine [0000-0001-5254-7655], Bessi, Valentina [0000-0002-6176-3584], Boada, Mercè [0000-0003-2617-3009], Bossù, Paola [0000-0002-1432-0078], Bråthen, Geir [0000-0003-3224-7983], Bressler, Jan [0000-0001-6578-4772], Bresner, Catherine [0000-0003-2673-9762], Brodaty, Henry [0000-0001-9487-6617], Brookes, Keeley J [0000-0003-2427-2513], Burholt, Vanessa [0000-0002-6789-127X], Bush, William S [0000-0002-9729-6519], Calero, Miguel [0000-0001-5366-3324], Chung, Jaeyoon [0000-0002-6431-9454], Cervera-Carles, Laura [0000-0003-2286-200X], Costantini, Emanuele [0000-0002-1096-8221], Dalmasso, Maria Carolina [0000-0002-4901-9955], de Paiva Lopes, Katia [0000-0002-0240-0126], de Witte, Lot D [0000-0002-7235-9958], Debette, Stéphanie [0000-0001-8675-7968], Del Ser, Teodoro [0000-0001-9806-7083], Dichgans, Martin [0000-0002-0654-387X], Diehl-Schmid, Janine [0000-0002-7745-1382], Diez-Fairen, Mónica [0000-0003-1882-0309], Djurovic, Srdjan [0000-0002-8140-8061], Dufouil, Carole [0000-0003-2442-4476], Escott-Price, Valentina [0000-0003-1784-5483], Ewers, Michael 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[0000-0002-7542-1139], Kornhuber, Johannes [0000-0002-8096-3987], Kosmidis, Mary H [0000-0001-8790-1220], Lage, Carmen [0000-0003-1703-121X], Launer, Lenore [0000-0002-3238-7612], Lee, Chien-Yueh [0000-0002-4304-974X], Lleó, Alberto [0000-0002-2568-5478], Lopez, Oscar [0000-0002-8546-8256], de Munain, Adolfo Lopez [0000-0002-9509-4032], Lunetta, Kathryn L [0000-0002-9268-810X], Ma, Yiyi [0000-0002-3609-8877], MacLeod, Catherine A [0000-0002-9314-7380], Marquié, Marta [0000-0002-0660-0950], Montes, Angel Martín [0000-0002-1694-786X], Mead, Simon [0000-0002-4326-1468], Medina, Miguel [0000-0002-7016-5340], Menéndez-González, Manuel [0000-0002-5218-0774], Mol, Merel [0000-0003-2533-2530], Morgan, Kevin [0000-0002-8217-2396], Nöthen, Markus M [0000-0002-8770-2464], Muchnik, Carolina [0000-0002-1542-3706], Nacmias, Benedetta [0000-0001-9338-9040], Nicolas, Gael [0000-0001-9391-7800], Nordestgaard, Børge G [0000-0002-1954-7220], Pasquier, Florence [0000-0001-9880-9788], Pastor, Pau [0000-0002-7493-8777], Peloso, Gina [0000-0002-5355-8636], Pérez-Cordón, Alba [0000-0002-6028-0791], Pérez-Tur, Jordi [0000-0002-9111-1712], Pericard, Pierre [0000-0001-8167-6448], Pineda, Juan A [0000-0002-3751-0296], Pisanu, Claudia [0000-0002-9151-4319], Posthuma, Danielle [0000-0001-7582-2365], Puerta, Raquel [0000-0002-1191-5893], Quenez, Olivier [0000-0002-8273-8505], Thomassen, Jesper Qvist [0000-0003-3484-9531], Real, Luis M [0000-0003-4932-7429], Reinders, Marcel JT [0000-0002-1148-1562], Reitz, Christiane [0000-0001-8757-7889], Riedel-Heller, Steffi [0000-0003-4321-6090], Rodriguez-Rodriguez, Eloy [0000-0001-7742-677X], Rongve, Arvid [0000-0002-0476-4134], Sáez, María Eugenia [0000-0001-9299-2534], Saltvedt, Ingvild [0000-0002-7897-9808], Juan, Pascual Sánchez [0000-0002-6081-8037], Sarnowski, Chloé [0000-0002-6090-7099], Satizabal, Claudia L [0000-0002-1115-4430], Schott, Jonathan M [0000-0003-2059-024X], Selbæk, Geir [0000-0001-6511-8219], Shadrin, Alexey A 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Sachdev, Perminder [0000-0002-9595-3220], Mather, Karen [0000-0003-4143-8941], Ikram, M Arfan [0000-0003-0372-8585], Tsolaki, Magda [0000-0002-2072-8010], Pericak-Vance, Margaret A [0000-0001-7283-8804], Amouyel, Philippe [0000-0001-9088-234X], Williams, Julie [0000-0002-4069-0259], Frikke-Schmidt, Ruth [0000-0003-4084-5027], Seshadri, Sudha [0000-0001-6135-2622], Andreassen, Ole A [0000-0002-4461-3568], Sleegers, Kristel [0000-0002-0283-2332], van Duijn, Cornelia M [0000-0002-2374-9204], Sims, Rebecca [0000-0002-3885-1199], van der Flier, Wiesje M [0000-0001-8766-6224], Ramirez, Alfredo [0000-0003-4991-763X], Lambert, Jean-Charles [0000-0003-0829-7817], Apollo - University of Cambridge Repository, Complex Trait Genetics, Clinical sciences, Neuroprotection & Neuromodulation, Pathologic Biochemistry and Physiology, Clinical Biology, Epidemiology, Internal Medicine, Psychiatrie & Neuropsychologie, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, MUMC+: MA Med Staf Spec Psychiatrie (9), UAM. Departamento de Biología Molecular, University of Helsinki, Department of Neurosciences, HUS Internal Medicine and Rehabilitation, Timo Strandberg / Principal Investigator, Department of Medicine, Clinicum, HUS Neurocenter, Neurologian yksikkö, Centre of Excellence in Complex Disease Genetics, HUS Abdominal Center, Institut Pasteur, Institut National de la Santé et de la Recherche Médicale (France), European Commission, LabEx DISTALZ, Pérez-Tur, Jordi, University Children’s Hospital Basel (Suiza), INSERM (Francia), Lille Métropole Communauté Urbaine, Government of France (Francia), EADB, GR@ACE, DEGESCO, EADI, GERAD, Demgene, FinnGen, ADGC, CHARGE, Holmans, Peter A. [0000-0003-0870-9412], van der Lee, Sven J. [0000-0003-1606-8643], Costa, Marcos R. [0000-0002-4928-2163], Bis, Joshua C. [0000-0002-3409-1110], Brookes, Keeley J. [0000-0003-2427-2513], Bush, William S. [0000-0002-9729-6519], de Witte, Lot D. [0000-0002-7235-9958], del Ser, Teodoro [0000-0001-9806-7083], Fox, Nick C. [0000-0002-6660-657X], Bullido, María J. [0000-0002-6477-1117], Goate, Alison M. [0000-0002-0576-2472], Herrmann, Martin J. [0000-0001-9970-2122], Jun, Gyungah R. [0000-0002-3230-8697], Kehoe, Patrick G. [0000-0002-7542-1139], Kosmidis, Mary H. [0000-0001-8790-1220], Lunetta, Kathryn L. [0000-0002-9268-810X], MacLeod, Catherine A. [0000-0002-9314-7380], Nöthen, Markus M. [0000-0002-8770-2464], Nordestgaard, Børge G. [0000-0002-1954-7220], Pineda, Juan A. [0000-0002-3751-0296], Real, Luis M. [0000-0003-4932-7429], Reinders, Marcel J. T. [0000-0002-1148-1562], Satizabal, Claudia L. [0000-0002-1115-4430], Schott, Jonathan M. [0000-0003-2059-024X], Shadrin, Alexey A. [0000-0002-7467-250X], Farrer, Lindsay A. [0000-0001-5533-4225], Psaty, Bruce M. [0000-0002-7278-2190], Ikram, M. Arfan [0000-0003-0372-8585], Pericak-Vance, Margaret A. [0000-0001-7283-8804], Andreassen, Ole A. [0000-0002-4461-3568], van Duijn, Cornelia M. [0000-0002-2374-9204], van der Flier, Wiesje M. [0000-0001-8766-6224], and Molecular Neuroscience and Ageing Research (MOLAR)
Subjects: tau Proteins/genetics, Alzheimer`s disease Donders Center for Medical Neuroscience [Radboudumc 1], Neurologi, MED/03 - GENETICA MEDICA, 45/43, Medizin, Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13], genetics [Alzheimer Disease], Genome-Wide Association Study, Humans, tau Proteins, Alzheimer Disease, Cognitive Dysfunction, VARIANTS, pathology [Alzheimer Disease], Tau Proteins, Settore BIO/13 - Biologia Applicata, Cognitive Dysfunction/psychology, 692/699/375/365/1283, IMPUTATION, article, 1184 Genetics, developmental biology, physiology, Biología y Biomedicina / Biología, AMYLOID-BETA, Settore MED/26 - NEUROLOGIA, Neurology, psychology [Cognitive Dysfunction], Medical Genetics, Human, Neuroscience(all), 631/208/205/2138, All institutes and research themes of the Radboud University Medical Center, SDG 3 - Good Health and Well-being, ddc:570, Genetics, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, METAANALYSIS, Medicinsk genetik, MED/26 - NEUROLOGIA, Alzheimer Disease/genetics, neurology, tau Protein, NECROSIS-FACTOR-ALPHA, RISK LOCI, genetics [tau Proteins], PREDICTION MODELS, Human medicine, GENERATION, RESPONSES
Abstract: 25 páginas, 6 figuras, 2 tablas, 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., This work was funded by a grant (EADB) from the EU Joint Programme – Neurodegenerative Disease Research. INSERM UMR1167 is also funded by the INSERM, Institut Pasteur de Lille, Lille Métropole Communauté Urbaine and French government’s LABEX DISTALZ program (development of innovative strategies for a transdisciplinary approach to AD). Full consortium acknowledgements and funding are in the Supplementary Not
Published: 2022

34. Psychometric approaches to defining cognitive phenotypes in the Old Order Amish

Author: Andrew Zaman, Laura Caywood, Michael Prough, Jason Clouse, Sharlene Harrington, Larry Adams, Denise Fuzzell, Sarada Fuzzell, Renee Laux, Sherri D. Hochstetler, Paula Ogrocki, Alan Lerner, Jeffery M. Vance, Jonathan L. Haines, William K. Scott, Margaret A. Pericak‐Vance, and Michael L. Cuccaro
Subjects: Psychiatry and Mental health, Geriatrics and Gerontology
Published: 2023

35. Mitochondrial TXNRD2 and ME3 Genetic Risk Scores Are Associated with Specific Primary Open-Angle Glaucoma Phenotypes

Author: Inas F. Aboobakar, Tyler G. Kinzy, Yan Zhao, Baojian Fan, Louis R. Pasquale, Ayub Qassim, Antonia Kolovos, Joshua M. Schmidt, Jamie E. Craig, Jessica N. Cooke Bailey, Janey L. Wiggs, R. Rand Allingham, Murray Brilliant, Donald L. Budenz, John H. Fingert, Douglas Gaasterland, Teresa Gaasterland, Jonathan L. Haines, Michael A. Hauser, Richard K. Lee, Paul R. Lichter, Yutao Liu, Syoko Moroi, Jonathan Myers, Margaret Pericak-Vance, Anthony Realini, Doug Rhee, Julia E. Richards, Robert Ritch, Joel S. Schuman, William K. Scott, Kuldev Singh, Arthur J. Sit, Douglas Vollrath, Robert N. Weinreb, Gadi Wollstein, and Donald J. Zack
Subjects: Ophthalmology
Published: 2023

36. Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model.

Author: Jingchao Ni, Mehmet Koyutürk, Hanghang Tong, Jonathan L. Haines, Rong Xu, and Xiang Zhang 0001
Published: 2016
Full Text: View/download PDF

37. PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability.

Author: Jacqueline Kirby, Peter Speltz, Luke V. Rasmussen, Melissa A. Basford, Omri Gottesman, Peggy L. Peissig, Jennifer A. Pacheco, Gerard Tromp, Jyotishman Pathak, David S. Carrell, Stephen B. Ellis, Todd Lingren, William K. Thompson, Guergana Savova, Jonathan L. Haines, Dan M. Roden, Paul A. Harris, and Joshua C. Denny
Published: 2016
Full Text: View/download PDF

38. Genotype Correlation Analysis Reveals Pathway-Based Functional Disequilibrium and Potential Epistasis in the Human Interactome.

Author: William S. Bush and Jonathan L. Haines
Published: 2014
Full Text: View/download PDF

39. Genome-wide association study of brain arteriolosclerosis

Author: Lincoln MP Shade, Yuriko Katsumata, Timothy J Hohman, Kwangsik Nho, Andrew J Saykin, Shubhabrata Mukherjee, Kevin L Boehme, John SK Kauwe, Lindsay A Farrer, Gerard D Schellenberg, Jonathan L Haines, Richard P Mayeux, Julie A Schneider, Peter T Nelson, and David W Fardo
Subjects: Arteriolosclerosis, Neurology, Alzheimer Disease, Brain, Humans, Original Articles, Neurology (clinical), Cardiology and Cardiovascular Medicine, Polymorphism, Single Nucleotide, Aged, Genome-Wide Association Study
Abstract: Brain arteriolosclerosis (B-ASC) is characterized by pathologically altered brain parenchymal arterioles. B-ASC is associated with cognitive impairment and increased likelihood of clinical dementia. To date, no study has been conducted on genome-wide genetic risk of autopsy-proven B-ASC. We performed a genome-wide association study (GWAS) of the B-ASC phenotype using multiple independent aged neuropathologic cohorts. Included in the study were participants with B-ASC autopsy and genotype data available from the NACC, ROSMAP, ADNI, and ACT data sets. Initial Stage 1 GWAS ( n = 3382) and Stage 2 mega-analysis ( n = 4569) were performed using data from the two largest cohorts (NACC and ROSMAP). Replication of top variants and additional Stage 3 mega-analysis were performed incorporating two smaller cohorts (ADNI and ACT). Lead variants in the top two loci in the Stage 2 mega-analysis (rs7902929, p = [Formula: see text]; rs2603462, p = [Formula: see text]) were significant in the ADNI cohort (rs7902929, p = [Formula: see text]; rs2603462, p = [Formula: see text]). The rs2603462 lead variant colocalized with ELOVL4 expression in the cerebellum (posterior probability = 90.1%). Suggestive associations were also found near SORCS1 and SORCS3. We thus identified putative loci associated with B-ASC risk, but additional replication is needed.
Published: 2022

40. The National Institute on Aging Late‐Onset Alzheimer's Disease Family Based Study: A resource for genetic discovery

Author: Dolly, Reyes-Dumeyer, Kelley, Faber, Badri, Vardarajan, Alison, Goate, Alan, Renton, Michael, Chao, Brad, Boeve, Carlos, Cruchaga, Margaret, Pericak-Vance, Jonathan L, Haines, Roger, Rosenberg, Debby, Tsuang, Robert A, Sweet, David A, Bennett, Robert S, Wilson, Tatiana, Foroud, and Richard, Mayeux
Subjects: Genotype, Epidemiology, Health Policy, United States, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Apolipoproteins E, Developmental Neuroscience, Alzheimer Disease, National Institute on Aging (U.S.), Humans, Neurology (clinical), Age of Onset, Geriatrics and Gerontology
Abstract: The National Institute on Aging Late-Onset Alzheimer's Disease Family Based Study (NIA-LOAD FBS) was established to study the genetic etiology of Alzheimer's disease (AD).Recruitment focused on families with two living affected siblings and a third first-degree relative similar in age with or without dementia. Uniform assessments were completed, DNA was obtained, as was neuropathology, when possible. Apolipoprotein E (APOE) genotypes, genome-wide single nucleotide polymorphism (SNP) arrays, and sequencing was completed in most families.APOE genotype modified the age-at-onset in many large families. Novel variants and known variants associated with early- and late-onset AD and frontotemporal dementia were identified supporting an international effort to solve AD genetics.The NIA-LOAD FBS is the largest collection of familial AD worldwide, and data or samples have been included in 123 publications addressing the genetic etiology of AD. Genetic heterogeneity and variability in the age-at-onset provides opportunities to investigate the complexity of familial AD.
Published: 2022

41. Designing a Study for Identifying Genes in Complex Traits

Author: William K. Scott, Marylyn D. Ritchie, Jonathan L. Haines, and Margaret A. Pericak‐Vance
Published: 2021

42. Plasma pTau181 is associated with impaired cognition in the Old Order Amish and adds additional information beyond the known genetic risk factors for AD

Author: Michael B. Prough, Laura J. Caywood, Jason E. Clouse, Sharlene D. Herington, Susan H. Slifer, Daniel A. Dorfsman, Larry D. Adams, Renee A. Laux, Yeunjoo E. Song, Audrey Lynn, M. Denise Fuzzell, Sarada L. Fuzzell, Sherri D. Miller, Kristy L. Miskimen, Leighanne R. Main, Michael D. Osterman, Paula K. Ogrocki, Alan J. Lerner, Jeffery M. Vance, Michael L. Cuccaro, Jonathan L. Haines, William K. Scott, and Margaret A. Pericak‐Vance
Subjects: Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published: 2022

43. Novel Loci for Alzheimer Disease Identified by Genome Wide Association Study in Ashkenazi Jews

Author: Donghe Li, John Farrell, Jesse B. Mez, Eden R. Martin, William S. Bush, Richard Mayeux, Jonathan L. Haines, Margaret A. Pericak‐Vance, Li‐San Wang, Gerard D. Schellenberg, Kathryn L. Lunetta, and Lindsay A. Farrer
Subjects: Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published: 2022

44. A Haptoglobin (HP) Exon Deletion Polymorphism Alters the Effect of APOE Alleles on Alzheimer’s Disease in European‐Descent People with APOEε4

Author: Haimeng Bai, Adam C. Naj, Yuk Yee Leung, Li‐San Wang, Gerard D. Schellenberg, Richard Mayeux, Margaret A. Pericak‐Vance, Lindsay A. Farrer, Logan Dumitrescu, Timothy J. Hohman, Brian W. Kunkle, Eden R. Martin, Jonathan L. Haines, and William S. Bush
Subjects: Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published: 2022

45. Spatial Distribution of Rare Missense Variants Within Protein Structures is Associated with AD Risk

Author: Bowen Jin, John A Capra, Penelope Benchek, Nicholas R. Wheeler, Adam C. Naj, Kara L. Hamilton‐Nelson, John Farrell, Yuk Yee Leung, Brian W. Kunkle, Badri N Vardarajan, Gerard D. Schellenberg, Richard Mayeux, Li‐San Wang, Lindsay A. Farrer, Margaret A. Pericak‐Vance, Eden R. Martin, Jonathan L. Haines, Dana Crawford, and William S. Bush
Subjects: Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published: 2022

46. Ancestral Analysis of the Presenilin‐1 G206A Variant Reveals it as a Founder Event on an African Haplotype in the Puerto Rican Population

Author: Kara L. Hamilton‐Nelson, Anthony J. Griswold, Farid Rajabli, Patrice L. Whitehead, Maricarmen Contreras, Sergio Tejada, Jose Javier Sanchez, Pedro Ramon Mena, Larry D. Adams, Takiyah D. Starks, Concepcion Silva‐Vergara, Michael L. Cuccaro, Jeffery M. Vance, Goldie S. Byrd, Jonathan L. Haines, Gary W. Beecham, Briseida E. Feliciano‐Astacio, Margaret A. Pericak‐Vance, and Katrina Celis
Subjects: Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published: 2022

47. Mosaic Loss of Chromosome Y in Peripheral Blood Cells and Cognitive Status in the Amish

Author: Yeunjoo E. Song, Kristy L. Miskimen, Renee A. Laux, M. Denise Fuzzell, Sarada L. Fuzzell, Sherri D. Miller, Leighanne R. Main, Michael D. Osterman, Audrey Lynn, Michael B. Prough, Susan H. Slifer, Larry D. Adams, Laura J. Caywood, Jason E. Clouse, Sharlene D. Herington, Daniel A. Dorfsman, Jeffery M. Vance, Michael L. Cuccaro, Paula K. Ogrocki, Alan J. Lerner, William K. Scott, Margaret A. Pericak‐Vance, William S. Bush, and Jonathan L. Haines
Subjects: Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published: 2022

48. Depressive Symptoms Associated with an Earlier Age at Onset Differ as a Function of Race‐Ethnicity: An Exploratory Analysis

Author: Andrew Zaman, Pedro Ramon Mena, Larry D. Adams, Maricarmen Contreras, Faina C Lacroix, Sergio Tejada, Takiyah D. Starks, Briseida E. Feliciano‐Astacio, Concepcion Silva, Allison M Caban‐Holt, Goldie S. Byrd, Izri Martinez, Temitope Ayodele, Penelope Baez, Gabrielle Blackshire, Sara Kennedy, Christiane Reitz, Jonathan L. Haines, Jeffery M. Vance, Margaret A. Vance, and Michael L. Cuccaro
Subjects: Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published: 2022

49. Multiple Viruses Detected in Human DNA are Associated with Alzheimer Disease Risk

Author: Marlene Tejeda, John Farrell, Congcong Zhu, Lee Wetzler, Kathryn L. Lunetta, William S. Bush, Eden R Martin, Li‐San Wang, Gerard D. Schellenberg, Margaret A. Pericak‐Vance, Jonathan L. Haines, Lindsay A. Farrer, and Richard Sherva
Subjects: Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published: 2022

50. Detecting genetic loci for preservation of cognition in the Midwestern United States Amish

Author: Leighanne R. Main, Yeunjoo E. Song, Renee A. Laux, Kristy L. Miskimen, Michael L. Cuccaro, Paula K. Ogrocki, Alan J. Lerner, Jeffery M. Vance, M. Denise Fuzzell, Sarada L. Fuzzell, Sherri D. Hochstetler, Michael D. Osterman, Audrey Lynn, Daniel A. Dorfsman, Laura J. Caywood, Michael B. Prough, Larry D. Adams, Jason E. Clouse, Sharlene D. Herington, William K. Scott, Margaret A. Pericak‐Vance, and Jonathan L. Haines
Subjects: Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Epidemiology, Health Policy, Neurology (clinical), Geriatrics and Gerontology
Published: 2022

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