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Ingo H. Greger

Bio: Ingo H. Greger is an academic researcher from Laboratory of Molecular Biology. The author has contributed to research in topics: AMPA receptor & Neurotransmission. The author has an hindex of 27, co-authored 45 publications receiving 2886 citations. Previous affiliations of Ingo H. Greger include Howard Hughes Medical Institute & University of Cambridge.

Papers
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Journal ArticleDOI
30 May 2002-Neuron
TL;DR: It is shown that the functionally critical GluR2 subunit stably resides in an intracellular pool in the endoplasmic reticulum (ER) and that Arg607 is a central regulator that controls ER exit and may thereby ensure the availability of GLUR2 for assembly into AMPARs.

353 citations

Journal ArticleDOI
Jenny C. Taylor1, Jenny C. Taylor2, Hilary C. Martin2, Stefano Lise2, John Broxholme2, Jean-Baptiste Cazier2, Andrew J. Rimmer2, Alexander Kanapin2, Gerton Lunter2, Simon Fiddy2, Chris Allan2, A. Radu Aricescu2, Moustafa Attar2, Christian Babbs3, Jennifer Becq4, David Beeson3, Celeste Bento5, P Bignell3, Edward Blair3, Veronica J. Buckle3, Katherine R. Bull3, Katherine R. Bull2, Ondrej Cais6, Holger Cario7, Helen Chapel3, Richard R. Copley2, Richard R. Copley1, Richard J. Cornall3, Jude Craft2, Jude Craft1, Karin Dahan8, Emma E. Davenport2, Calliope A. Dendrou3, Olivier Devuyst9, Aimee L. Fenwick3, Jonathan Flint2, Lars Fugger3, Rodney D. Gilbert10, Anne Goriely3, Angie Green2, Ingo H. Greger6, Russell J. Grocock4, Anja V. Gruszczyk3, Robert W. Hastings3, Edouard Hatton2, Doug Higgs3, Adrian V. S. Hill2, Adrian V. S. Hill3, Christopher Holmes3, Christopher Holmes2, Malcolm F. Howard2, Malcolm F. Howard1, Linda Hughes2, Peter Humburg2, David W. Johnson3, Fredrik Karpe3, Zoya Kingsbury4, Usha Kini3, Julian C. Knight2, Jon P. Krohn2, Sarah Lamble2, Craig B. Langman11, Lorne Lonie2, Joshua Luck3, Davis J. McCarthy2, Simon J. McGowan3, Mary Frances McMullin12, Kerry A. Miller3, Lisa Murray4, Andrea H. Németh3, M. Andrew Nesbit3, David J. Nutt13, Elizabeth Ormondroyd3, Annette Bang Oturai14, Alistair T. Pagnamenta2, Alistair T. Pagnamenta1, Smita Y. Patel3, Melanie J. Percy15, Nayia Petousi3, Paolo Piazza2, Sian E. Piret3, Guadalupe Polanco-Echeverry2, Niko Popitsch2, Niko Popitsch1, Fiona Powrie3, Christopher W. Pugh3, Lynn Quek3, Peter A. Robbins3, Kathryn J. H. Robson3, Alexandra Russo, Natasha Sahgal2, Pauline A. van Schouwenburg3, Anna Schuh1, Anna Schuh3, Earl D. Silverman, Alison Simmons3, Per Soelberg Sørensen14, Elizabeth Sweeney, John Taylor1, John Taylor3, Rajesh V. Thakker3, Ian Tomlinson2, Ian Tomlinson1, Amy Trebes2, Stephen R.F. Twigg3, Holm H. Uhlig3, Paresh Vyas3, Timothy J. Vyse16, Steven A. Wall3, Hugh Watkins3, Michael P. Whyte17, Lorna Witty2, Ben Wright2, Christopher Yau2, David Buck2, Sean Humphray4, Peter J. Ratcliffe3, John I. Bell3, Andrew O.M. Wilkie3, David Bentley4, Peter Donnelly2, Peter Donnelly3, Gilean McVean2 
TL;DR: It is found that jointly calling variants across samples, filtering against both local and external databases, deploying multiple annotation tools and using familial transmission above biological plausibility contributed to accuracy.
Abstract: To assess factors influencing the success of whole-genome sequencing for mainstream clinical diagnosis, we sequenced 217 individuals from 156 independent cases or families across a broad spectrum of disorders in whom previous screening had identified no pathogenic variants. We quantified the number of candidate variants identified using different strategies for variant calling, filtering, annotation and prioritization. We found that jointly calling variants across samples, filtering against both local and external databases, deploying multiple annotation tools and using familial transmission above biological plausibility contributed to accuracy. Overall, we identified disease-causing variants in 21% of cases, with the proportion increasing to 34% (23/68) for mendelian disorders and 57% (8/14) in family trios. We also discovered 32 potentially clinically actionable variants in 18 genes unrelated to the referral disorder, although only 4 were ultimately considered reportable. Our results demonstrate the value of genome sequencing for routine clinical diagnosis but also highlight many outstanding challenges.

318 citations

Journal ArticleDOI
13 Nov 2003-Neuron
TL;DR: It is demonstrated that editing at the GluR2 Q/R site regulates AMPAR assembly at the step of tetramerization, and a single amino acid residue affects channel composition and, in turn, controls ion conduction through the majority of AMPARs in the brain.

311 citations

Journal ArticleDOI
17 May 2017-Neuron
TL;DR: How the subunit structure, stoichiometry, and auxiliary subunits generate a heterogeneous plethora of receptors, each tailored to fulfill a vital role in fast synaptic signaling and plasticity are discussed.

252 citations

Journal ArticleDOI
TL;DR: Progress has been made in understanding the molecular mechanisms underlying subunit assembly and receptor biogenesis in the ER, which determine the size and shape of the postsynaptic response, and are the subject of this review.

187 citations


Cited by
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Journal ArticleDOI
TL;DR: This review discusses International Union of Basic and Clinical Pharmacology glutamate receptor nomenclature, structure, assembly, accessory subunits, interacting proteins, gene expression and translation, post-translational modifications, agonist and antagonist pharmacology, allosteric modulation, mechanisms of gating and permeation, roles in normal physiological function, as well as the potential therapeutic use of pharmacological agents acting at glutamate receptors.
Abstract: The mammalian ionotropic glutamate receptor family encodes 18 gene products that coassemble to form ligand-gated ion channels containing an agonist recognition site, a transmembrane ion permeation pathway, and gating elements that couple agonist-induced conformational changes to the opening or closing of the permeation pore. Glutamate receptors mediate fast excitatory synaptic transmission in the central nervous system and are localized on neuronal and non-neuronal cells. These receptors regulate a broad spectrum of processes in the brain, spinal cord, retina, and peripheral nervous system. Glutamate receptors are postulated to play important roles in numerous neurological diseases and have attracted intense scrutiny. The description of glutamate receptor structure, including its transmembrane elements, reveals a complex assembly of multiple semiautonomous extracellular domains linked to a pore-forming element with striking resemblance to an inverted potassium channel. In this review we discuss International Union of Basic and Clinical Pharmacology glutamate receptor nomenclature, structure, assembly, accessory subunits, interacting proteins, gene expression and translation, post-translational modifications, agonist and antagonist pharmacology, allosteric modulation, mechanisms of gating and permeation, roles in normal physiological function, as well as the potential therapeutic use of pharmacological agents acting at glutamate receptors.

3,044 citations

01 Jan 2011
TL;DR: The sheer volume and scope of data posed by this flood of data pose a significant challenge to the development of efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data.
Abstract: Rapid improvements in sequencing and array-based platforms are resulting in a flood of diverse genome-wide data, including data from exome and whole-genome sequencing, epigenetic surveys, expression profiling of coding and noncoding RNAs, single nucleotide polymorphism (SNP) and copy number profiling, and functional assays. Analysis of these large, diverse data sets holds the promise of a more comprehensive understanding of the genome and its relation to human disease. Experienced and knowledgeable human review is an essential component of this process, complementing computational approaches. This calls for efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data. However, the sheer volume and scope of data pose a significant challenge to the development of such tools.

2,187 citations

Journal ArticleDOI
James J. Lee1, Robbee Wedow2, Aysu Okbay3, Edward Kong4, Omeed Maghzian4, Meghan Zacher4, Tuan Anh Nguyen-Viet5, Peter Bowers4, Julia Sidorenko6, Julia Sidorenko7, Richard Karlsson Linnér8, Richard Karlsson Linnér3, Mark Alan Fontana5, Mark Alan Fontana9, Tushar Kundu5, Chanwook Lee4, Hui Li4, Ruoxi Li5, Rebecca Royer5, Pascal Timshel10, Pascal Timshel11, Raymond K. Walters12, Raymond K. Walters4, Emily A. Willoughby1, Loic Yengo7, Maris Alver6, Yanchun Bao13, David W. Clark14, Felix R. Day15, Nicholas A. Furlotte, Peter K. Joshi16, Peter K. Joshi14, Kathryn E. Kemper7, Aaron Kleinman, Claudia Langenberg15, Reedik Mägi6, Joey W. Trampush5, Shefali S. Verma17, Yang Wu7, Max Lam, Jing Hua Zhao15, Zhili Zheng7, Zhili Zheng18, Jason D. Boardman2, Harry Campbell14, Jeremy Freese19, Kathleen Mullan Harris20, Caroline Hayward14, Pamela Herd13, Pamela Herd21, Meena Kumari13, Todd Lencz22, Todd Lencz23, Jian'an Luan15, Anil K. Malhotra23, Anil K. Malhotra22, Andres Metspalu6, Lili Milani6, Ken K. Ong15, John R. B. Perry15, David J. Porteous14, Marylyn D. Ritchie17, Melissa C. Smart14, Blair H. Smith24, Joyce Y. Tung, Nicholas J. Wareham15, James F. Wilson14, Jonathan P. Beauchamp25, Dalton Conley26, Tõnu Esko6, Steven F. Lehrer27, Steven F. Lehrer28, Steven F. Lehrer29, Patrik K. E. Magnusson30, Sven Oskarsson31, Tune H. Pers11, Tune H. Pers10, Matthew R. Robinson7, Matthew R. Robinson32, Kevin Thom33, Chelsea Watson5, Christopher F. Chabris17, Michelle N. Meyer17, David Laibson4, Jian Yang7, Magnus Johannesson34, Philipp Koellinger8, Philipp Koellinger3, Patrick Turley4, Patrick Turley12, Peter M. Visscher7, Daniel J. Benjamin5, Daniel J. Benjamin27, David Cesarini27, David Cesarini33 
TL;DR: A joint (multi-phenotype) analysis of educational attainment and three related cognitive phenotypes generates polygenic scores that explain 11–13% of the variance ineducational attainment and 7–10% ofthe variance in cognitive performance, which substantially increases the utility ofpolygenic scores as tools in research.
Abstract: Here we conducted a large-scale genetic association analysis of educational attainment in a sample of approximately 1.1 million individuals and identify 1,271 independent genome-wide-significant SNPs. For the SNPs taken together, we found evidence of heterogeneous effects across environments. The SNPs implicate genes involved in brain-development processes and neuron-to-neuron communication. In a separate analysis of the X chromosome, we identify 10 independent genome-wide-significant SNPs and estimate a SNP heritability of around 0.3% in both men and women, consistent with partial dosage compensation. A joint (multi-phenotype) analysis of educational attainment and three related cognitive phenotypes generates polygenic scores that explain 11-13% of the variance in educational attainment and 7-10% of the variance in cognitive performance. This prediction accuracy substantially increases the utility of polygenic scores as tools in research.

1,658 citations

Journal ArticleDOI
31 Oct 2008-Cell
TL;DR: Current evidence suggests that neurons detect changes in their own firing rates through a set of calcium-dependent sensors that then regulate receptor trafficking to increase or decrease the accumulation of glutamate receptors at synaptic sites.

1,376 citations