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23 results on '"P Van der Meer"'

4. Development of a novel non-invasive biomarker panel for hepatic fibrosis in MASLD

Author

Verschuren, Lars, Mak, Anne Linde, van Koppen, Arianne, Özsezen, Serdar, Difrancesco, Sonia, Caspers, Martien P. M., Snabel, Jessica, van der Meer, David, van Dijk, Anne-Marieke, Rashu, Elias Badal, Nabilou, Puria, Werge, Mikkel Parsberg, van Son, Koen, Kleemann, Robert, Kiliaan, Amanda J., Hazebroek, Eric J., Boonstra, André, Brouwer, Willem P., Doukas, Michail, Gupta, Saurabh, Kluft, Cornelis, Nieuwdorp, Max, Verheij, Joanne, Gluud, Lise Lotte, Holleboom, Adriaan G., Tushuizen, Maarten E., and Hanemaaijer, Roeland

Published
2024
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8. Distributed genetic architecture across the hippocampal formation implies common neuropathology across brain disorders.

Author

Bahrami, Shahram, Nordengen, Kaja, Shadrin, Alexey, Frei, Oleksandr, van der Meer, Dennis, Dale, Anders, Westlye, Lars, Andreassen, Ole, and Kaufmann, Tobias

Subjects
Brain Diseases, Genetic Loci, Genome-Wide Association Study, Hippocampus, Humans, Polymorphism, Single Nucleotide, White People
Abstract

Despite its major role in complex human functions across the lifespan, most notably navigation, learning and memory, much of the genetic architecture of the hippocampal formation is currently unexplored. Here, through multivariate genome-wide association analysis in volumetric data from 35,411 white British individuals, we reveal 177 unique genetic loci with distributed associations across the hippocampal formation. We identify genetic overlap with eight brain disorders with typical onset at different stages of life, where common genes suggest partly age- and disorder-independent mechanisms underlying hippocampal pathology.

Published
2022

9. A consensus statement on detection of hippocampal sharp wave ripples and differentiation from other fast oscillations

Author

Liu, Anli A, Henin, Simon, Abbaspoor, Saman, Bragin, Anatol, Buffalo, Elizabeth A, Farrell, Jordan S, Foster, David J, Frank, Loren M, Gedankien, Tamara, Gotman, Jean, Guidera, Jennifer A, Hoffman, Kari L, Jacobs, Joshua, Kahana, Michael J, Li, Lin, Liao, Zhenrui, Lin, Jack J, Losonczy, Attila, Malach, Rafael, van der Meer, Matthijs A, McClain, Kathryn, McNaughton, Bruce L, Norman, Yitzhak, Navas-Olive, Andrea, de la Prida, Liset M, Rueckemann, Jon W, Sakon, John J, Skelin, Ivan, Soltesz, Ivan, Staresina, Bernhard P, Weiss, Shennan A, Wilson, Matthew A, Zaghloul, Kareem A, Zugaro, Michaël, and Buzsáki, György

Subjects
Biological Psychology, Psychology, Prevention, Clinical Research, 1.1 Normal biological development and functioning, Underpinning research, Action Potentials, Hippocampus, Humans, Memory
Abstract

Decades of rodent research have established the role of hippocampal sharp wave ripples (SPW-Rs) in consolidating and guiding experience. More recently, intracranial recordings in humans have suggested their role in episodic and semantic memory. Yet, common standards for recording, detection, and reporting do not exist. Here, we outline the methodological challenges involved in detecting ripple events and offer practical recommendations to improve separation from other high-frequency oscillations. We argue that shared experimental, detection, and reporting standards will provide a solid foundation for future translational discovery.

Published
2022

10. Multivariate genome-wide association study on tissue-sensitive diffusion metrics highlights pathways that shape the human brain

Author

Fan, Chun Chieh, Loughnan, Robert, Makowski, Carolina, Pecheva, Diliana, Chen, Chi-Hua, Hagler, Donald J, Thompson, Wesley K, Parker, Nadine, van der Meer, Dennis, Frei, Oleksandr, Andreassen, Ole A, and Dale, Anders M

Subjects
Biological Sciences, Genetics, Human Genome, Mental Health, Neurosciences, Biotechnology, Brain Disorders, Biomedical Imaging, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, 4.1 Discovery and preclinical testing of markers and technologies, Mental health, Neurological, Adolescent, Benchmarking, Brain, Cognition, Genetic Loci, Genome-Wide Association Study, Humans
Abstract

The molecular determinants of tissue composition of the human brain remain largely unknown. Recent genome-wide association studies (GWAS) on this topic have had limited success due to methodological constraints. Here, we apply advanced whole-brain analyses on multi-shell diffusion imaging data and multivariate GWAS to two large scale imaging genetic datasets (UK Biobank and the Adolescent Brain Cognitive Development study) to identify and validate genetic association signals. We discover 503 unique genetic loci that have impact on multiple regions of human brain. Among them, more than 79% are validated in either of two large-scale independent imaging datasets. Key molecular pathways involved in axonal growth, astrocyte-mediated neuroinflammation, and synaptogenesis during development are found to significantly impact the measured variations in tissue-specific imaging features. Our results shed new light on the biological determinants of brain tissue composition and their potential overlap with the genetic basis of neuropsychiatric disorders.

Published
2022

12. Author Correction: Understanding the genetic determinants of the brain with MOSTest.

Author

van der Meer, Dennis, Frei, Oleksandr, Kaufmann, Tobias, Shadrin, Alexey A, Devor, Anna, Smeland, Olav B, Thompson, Wesley K, Fan, Chun Chieh, Holland, Dominic, Westlye, Lars T, Andreassen, Ole A, and Dale, Anders M

Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2020

13. Understanding the genetic determinants of the brain with MOSTest.

Author

van der Meer, Dennis, Frei, Oleksandr, Kaufmann, Tobias, Shadrin, Alexey A, Devor, Anna, Smeland, Olav B, Thompson, Wesley K, Fan, Chun Chieh, Holland, Dominic, Westlye, Lars T, Andreassen, Ole A, and Dale, Anders M

Subjects
Nervous System, Brain, Humans, Genetic Predisposition to Disease, Multivariate Analysis, Female, Genome-Wide Association Study
Abstract

Regional brain morphology has a complex genetic architecture, consisting of many common polymorphisms with small individual effects. This has proven challenging for genome-wide association studies (GWAS). Due to the distributed nature of genetic signal across brain regions, multivariate analysis of regional measures may enhance discovery of genetic variants. Current multivariate approaches to GWAS are ill-suited for complex, large-scale data of this kind. Here, we introduce the Multivariate Omnibus Statistical Test (MOSTest), with an efficient computational design enabling rapid and reliable inference, and apply it to 171 regional brain morphology measures from 26,502 UK Biobank participants. At the conventional genome-wide significance threshold of α = 5 × 10-8, MOSTest identifies 347 genomic loci associated with regional brain morphology, more than any previous study, improving upon the discovery of established GWAS approaches more than threefold. Our findings implicate more than 5% of all protein-coding genes and provide evidence for gene sets involved in neuron development and differentiation.

Published
2020

14. Author Correction: Tree mode of death and mortality risk factors across Amazon forests

Author

Esquivel-Muelbert, Adriane, Phillips, Oliver L., Brienen, Roel J. W., Fauset, Sophie, Sullivan, Martin J. P., Baker, Timothy R., Chao, Kuo-Jung, Feldpausch, Ted R., Gloor, Emanuel, Higuchi, Niro, Houwing-Duistermaat, Jeanne, Lloyd, Jon, Liu, Haiyan, Malhi, Yadvinder, Marimon, Beatriz, Marimon Junior, Ben Hur, Monteagudo-Mendoza, Abel, Poorter, Lourens, Silveira, Marcos, Torre, Emilio Vilanova, Dávila, Esteban Alvarez, del Aguila Pasquel, Jhon, Almeida, Everton, Loayza, Patricia Alvarez, Andrade, Ana, Aragão, Luiz E. O. C., Araujo-Murakami, Alejandro, Arets, Eric, Arroyo, Luzmila, Aymard C., Gerardo A., Baisie, Michel, Baraloto, Christopher, Camargo, Plínio Barbosa, Barroso, Jorcely, Blanc, Lilian, Bonal, Damien, Bongers, Frans, Boot, René, Brown, Foster, Burban, Benoit, Camargo, José Luís, Castro, Wendeson, Moscoso, Victor Chama, Chave, Jerome, Comiskey, James, Valverde, Fernando Cornejo, da Costa, Antonio Lola, Cardozo, Nallaret Davila, Di Fiore, Anthony, Dourdain, Aurélie, Erwin, Terry, Llampazo, Gerardo Flores, Vieira, Ima Célia Guimarães, Herrera, Rafael, Honorio Coronado, Eurídice, Huamantupa-Chuquimaco, Isau, Jimenez-Rojas, Eliana, Killeen, Timothy, Laurance, Susan, Laurance, William, Levesley, Aurora, Lewis, Simon L., Ladvocat, Karina Liana Lisboa Melgaço, Lopez-Gonzalez, Gabriela, Lovejoy, Thomas, Meir, Patrick, Mendoza, Casimiro, Morandi, Paulo, Neill, David, Nogueira Lima, Adriano José, Vargas, Percy Nuñez, de Oliveira, Edmar Almeida, Camacho, Nadir Pallqui, Pardo, Guido, Peacock, Julie, Peña-Claros, Marielos, Peñuela-Mora, Maria Cristina, Pickavance, Georgia, Pipoly, John, Pitman, Nigel, Prieto, Adriana, Pugh, Thomas A. M., Quesada, Carlos, Ramirez-Angulo, Hirma, de Almeida Reis, Simone Matias, Rejou-Machain, Maxime, Correa, Zorayda Restrepo, Bayona, Lily Rodriguez, Rudas, Agustín, Salomão, Rafael, Serrano, Julio, Espejo, Javier Silva, Silva, Natalino, Singh, James, Stahl, Clement, Stropp, Juliana, Swamy, Varun, Talbot, Joey, ter Steege, Hans, Terborgh, John, Thomas, Raquel, Toledo, Marisol, Torres-Lezama, Armando, Gamarra, Luis Valenzuela, van der Heijden, Geertje, van der Meer, Peter, van der Hout, Peter, Martinez, Rodolfo Vasquez, Vieira, Simone Aparecida, Cayo, Jeanneth Villalobos, Vos, Vincent, Zagt, Roderick, Zuidema, Pieter, and Galbraith, David

Published
2021
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17. Phospholamban antisense oligonucleotides improve cardiac function in murine cardiomyopathy

Author

Grote Beverborg, Niels, Später, Daniela, Knöll, Ralph, Hidalgo, Alejandro, Yeh, Steve T., Elbeck, Zaher, Silljé, Herman H. W., Eijgenraam, Tim R., Siga, Humam, Zurek, Magdalena, Palmér, Malin, Pehrsson, Susanne, Albery, Tamsin, Bomer, Nils, Hoes, Martijn F., Boogerd, Cornelis J., Frisk, Michael, van Rooij, Eva, Damle, Sagar, Louch, William E., Wang, Qing-Dong, Fritsche-Danielson, Regina, Chien, Kenneth R., Hansson, Kenny M., Mullick, Adam E., de Boer, Rudolf A., and van der Meer, Peter

Published
2021
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18. Tree mode of death and mortality risk factors across Amazon forests

Author

Esquivel-Muelbert, Adriane, Phillips, Oliver L., Brienen, Roel J. W., Fauset, Sophie, Sullivan, Martin J. P., Baker, Timothy R., Chao, Kuo-Jung, Feldpausch, Ted R., Gloor, Emanuel, Higuchi, Niro, Houwing-Duistermaat, Jeanne, Lloyd, Jon, Liu, Haiyan, Malhi, Yadvinder, Marimon, Beatriz, Marimon Junior, Ben Hur, Monteagudo-Mendoza, Abel, Poorter, Lourens, Silveira, Marcos, Torre, Emilio Vilanova, Dávila, Esteban Alvarez, del Aguila Pasquel, Jhon, Almeida, Everton, Loayza, Patricia Alvarez, Andrade, Ana, Aragão, Luiz E. O. C., Araujo-Murakami, Alejandro, Arets, Eric, Arroyo, Luzmila, Aymard C., Gerardo A., Baisie, Michel, Baraloto, Christopher, Camargo, Plínio Barbosa, Barroso, Jorcely, Blanc, Lilian, Bonal, Damien, Bongers, Frans, Boot, René, Brown, Foster, Burban, Benoit, Camargo, José Luís, Castro, Wendeson, Moscoso, Victor Chama, Chave, Jerome, Comiskey, James, Valverde, Fernando Cornejo, da Costa, Antonio Lola, Cardozo, Nallaret Davila, Di Fiore, Anthony, Dourdain, Aurélie, Erwin, Terry, Llampazo, Gerardo Flores, Vieira, Ima Célia Guimarães, Herrera, Rafael, Honorio Coronado, Eurídice, Huamantupa-Chuquimaco, Isau, Jimenez-Rojas, Eliana, Killeen, Timothy, Laurance, Susan, Laurance, William, Levesley, Aurora, Lewis, Simon L., Ladvocat, Karina Liana Lisboa Melgaço, Lopez-Gonzalez, Gabriela, Lovejoy, Thomas, Meir, Patrick, Mendoza, Casimiro, Morandi, Paulo, Neill, David, Nogueira Lima, Adriano José, Vargas, Percy Nuñez, de Oliveira, Edmar Almeida, Camacho, Nadir Pallqui, Pardo, Guido, Peacock, Julie, Peña-Claros, Marielos, Peñuela-Mora, Maria Cristina, Pickavance, Georgia, Pipoly, John, Pitman, Nigel, Prieto, Adriana, Pugh, Thomas A. M., Quesada, Carlos, Ramirez-Angulo, Hirma, de Almeida Reis, Simone Matias, Rejou-Machain, Maxime, Correa, Zorayda Restrepo, Bayona, Lily Rodriguez, Rudas, Agustín, Salomão, Rafael, Serrano, Julio, Espejo, Javier Silva, Silva, Natalino, Singh, James, Stahl, Clement, Stropp, Juliana, Swamy, Varun, Talbot, Joey, ter Steege, Hans, Terborgh, John, Thomas, Raquel, Toledo, Marisol, Torres-Lezama, Armando, Gamarra, Luis Valenzuela, van der Heijden, Geertje, van der Meer, Peter, van der Hout, Peter, Martinez, Rodolfo Vasquez, Vieira, Simone Aparecida, Cayo, Jeanneth Villalobos, Vos, Vincent, Zagt, Roderick, Zuidema, Pieter, and Galbraith, David

Published
2020
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22. Corrigendum: Novel loci affecting iron homeostasis and their effects in individuals at risk for hemochromatosis.

Author

Benyamin B, Esko T, Ried JS, Radhakrishnan A, Vermeulen SH, Traglia M, Gögele M, Anderson D, Broer L, Podmore C, Luan J, Kutalik Z, Sanna S, van der Meer P, Tanaka T, Wang F, Westra HJ, Franke L, Mihailov E, Milani L, Hälldin J, Winkelmann J, Meitinger T, Thiery J, Peters A, Waldenberger M, Rendon A, Jolley J, Sambrook J, Kiemeney LA, Sweep FC, Sala CF, Schwienbacher C, Pichler I, Hui J, Demirkan A, Isaacs A, Amin N, Steri M, Waeber G, Verweij N, Powell JE, Nyholt DR, Heath AC, Madden PAF, Visscher PM, Wright MJ, Montgomery GW, Martin NG, Hernandez D, Bandinelli S, van der Harst P, Uda M, Vollenweider P, Scott RA, Langenberg C, Wareham NJ, van Duijn C, Beilby J, Pramstaller PP, Hicks AA, Ouwehand WH, Oexle K, Gieger C, Metspalu A, Camaschella C, Toniolo D, Swinkels DW, and Whitfield JB

Published
2015
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23. Novel loci affecting iron homeostasis and their effects in individuals at risk for hemochromatosis.

Author

Benyamin B, Esko T, Ried JS, Radhakrishnan A, Vermeulen SH, Traglia M, Gögele M, Anderson D, Broer L, Podmore C, Luan J, Kutalik Z, Sanna S, van der Meer P, Tanaka T, Wang F, Westra HJ, Franke L, Mihailov E, Milani L, Hälldin J, Winkelmann J, Meitinger T, Thiery J, Peters A, Waldenberger M, Rendon A, Jolley J, Sambrook J, Kiemeney LA, Sweep FC, Sala CF, Schwienbacher C, Pichler I, Hui J, Demirkan A, Isaacs A, Amin N, Steri M, Waeber G, Verweij N, Powell JE, Nyholt DR, Heath AC, Madden PA, Visscher PM, Wright MJ, Montgomery GW, Martin NG, Hernandez D, Bandinelli S, van der Harst P, Uda M, Vollenweider P, Scott RA, Langenberg C, Wareham NJ, van Duijn C, Beilby J, Pramstaller PP, Hicks AA, Ouwehand WH, Oexle K, Gieger C, Metspalu A, Camaschella C, Toniolo D, Swinkels DW, and Whitfield JB

Subjects
Adult, Chromosomes, Human, Pair 7 genetics, Ferritins metabolism, Gene Expression Regulation, Genetic Association Studies, Hemochromatosis blood, Humans, Iron blood, Lipids blood, Phenotype, Polymorphism, Single Nucleotide genetics, Reproducibility of Results, Risk Factors, Transferrin metabolism, Genetic Loci, Genetic Predisposition to Disease, Hemochromatosis genetics, Homeostasis genetics, Iron metabolism
Abstract

Variation in body iron is associated with or causes diseases, including anaemia and iron overload. Here, we analyse genetic association data on biochemical markers of iron status from 11 European-population studies, with replication in eight additional cohorts (total up to 48,972 subjects). We find 11 genome-wide-significant (P<5 × 10(-8)) loci, some including known iron-related genes (HFE, SLC40A1, TF, TFR2, TFRC, TMPRSS6) and others novel (ABO, ARNTL, FADS2, NAT2, TEX14). SNPs at ARNTL, TF, and TFR2 affect iron markers in HFE C282Y homozygotes at risk for hemochromatosis. There is substantial overlap between our iron loci and loci affecting erythrocyte and lipid phenotypes. These results will facilitate investigation of the roles of iron in disease.

Published
2014
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