The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Variation in GRM3 affects cognition, prefrontal glutamate, and risk for schizophrenia
Open accessAbstract
GRM3 , a metabotropic glutamate receptor-modulating synaptic glutamate, is a promising schizophrenia candidate gene. In a family-based association study, a common GRM3 haplotype was strongly associated with schizophrenia ( P = 0.0001). Within this haplotype, the A allele of single-nucleotide polymorphism (SNP) 4 (hCV11245618) in intron 2 was slightly overtransmitted to probands ( P = 0.02). We studied the effects of this SNP on neurobiological traits related to risk for schizophrenia and glutamate neurotransmission. The SNP4 A allele was associated with poorer performance on several cognitive tests of prefrontal and hippocampal function. The physiological basis of this effect was assessed with functional MRI, which showed relatively deleterious activation patterns in both cortical regions in control subjects homozygous for the SNP4 A allele. We next looked at SNP4's effects on two indirect measures of prefrontal glutamate neurotransmission. Prefrontal N -acetylaspartate, an in vivo MRI measure related to synaptic activity and closely correlated with tissue glutamate, was lower in SNP4 AA homozygotes. In postmortem human prefrontal cortex, AA homozygotes had lower mRNA levels of the glial glutamate transporter EAAT2, a protein regulated by GRM3 that critically modulates synaptic glutamate. Effects of SNP4 on prefrontal GRM3 mRNA and protein levels were marginal. Resequencing revealed no missense or splice-site SNPs, suggesting that the intronic SNP4 or related haplotypes may exert subtle regulatory effects on GRM3 transcription. These convergent data point to a specific molecular pathway by which GRM3 genotype alters glutamate neurotransmission, prefrontal and hippocampal physiology and cognition, and thereby increased risk for schizophrenia.
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Domingos da Silveira da Luz, A. C., Pereira Dias, G., do Nascimento Bevilaqua, M. C., Cocks, G., Gardino, P. F., Thuret, S., & Nardi, A. E. (2013) · Neuropsychobiology · doi:10.1159/000353269 · Cited by 3,995
Merlin—rapid analysis of dense genetic maps using sparse gene flow trees
Abecasis, G. R., Cherny, S. S., Cookson, W. O., & Cardon, L. R. (2002) · Nature Genetics · doi:10.1038/ng786 · Cited by 3,354
Krystal, J. H. (1994) · Archives of General Psychiatry · doi:10.1001/archpsyc.1994.03950030035004 · Cited by 3,330
Rothstein, J. D., Dykes-Hoberg, M., Pardo, C. A., Bristol, L. A., Jin, L., Kuncl, R. W., Kanai, Y., Hediger, M. A., Wang, Y., Schielke, J. P., et al. (1996) · Neuron · doi:10.1016/s0896-6273(00)80086-0 · Cited by 2,534
Lohmueller, K. E., Pearce, C. L., Pike, M., Lander, E. S., & Hirschhorn, J. N. (2003) · Nature Genetics · doi:10.1038/ng1071 · Cited by 1,900
Genetic variation in the gene encoding calpain-10 is associated with type 2 diabetes mellitus
Horikawa, Y., Oda, N., Cox, N. J., Li, X., Orho-Melander, M., Hara, M., Hinokio, Y., Lindner, T. H., Mashima, H., Schwarz, P. E. H., et al. (2000) · Nature Genetics · doi:10.1038/79876 · Cited by 1,468
Hariri, A. R., Goldberg, T. E., Mattay, V. S., Kolachana, B. S., Callicott, J. H., Egan, M. F., & Weinberger, D. R. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-17-06690.2003 · Cited by 1,045
Self-citationReversal of Phencyclidine Effects by a Group II Metabotropic Glutamate Receptor Agonist in Rats
Moghaddam, B., & Adams, B. W. (1998) · Science · doi:10.1126/science.281.5381.1349 · Cited by 1,006
The reduced neuropil hypothesis: a circuit based model of schizophrenia
Selemon, L. D., & Goldman-Rakic, P. S. (1999) · Biological Psychiatry · doi:10.1016/s0006-3223(98)00281-9 · Cited by 909
Regulation of Neurotransmitter Release by Metabotropic Glutamate Receptors
Cartmell, J., & Schoepp, D. D. (2000) · Journal of Neurochemistry · doi:10.1046/j.1471-4159.2000.0750889.x · Cited by 883
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Chiappinelli, K. B., Strissel, P. L., Desrichard, A., Li, H., Henke, C., Akman, B., Hein, A., Rote, N. S., Cope, L. M., Snyder, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.07.011 · Cited by 2,022
Schizophrenia genes, gene expression, and neuropathology: on the matter of their convergence
Harrison, P. J., & Weinberger, D. R. (2005) · Molecular Psychiatry · doi:10.1038/sj.mp.4001558 · Cited by 2,020
Self-citationIntermediate phenotypes and genetic mechanisms of psychiatric disorders
Meyer-Lindenberg, A., & Weinberger, D. R. (2006) · Nature reviews. Neuroscience · doi:10.1038/nrn1993 · Cited by 1,216
Self-citationThe neurodevelopmental model of schizophrenia: update 2005
Rapoport, J. L., Addington, A. M., Frangou, S., & Psych, M. R. C. (2005) · Molecular Psychiatry · doi:10.1038/sj.mp.4001642 · Cited by 993
Glutamate and Schizophrenia: Beyond the Dopamine Hypothesis
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Metadata
- Authors
- Egan, M. F., Straub, R. E., Goldberg, T. E., Yakub, I., Callicott, J. H., Hariri, A. R., Mattay, V. S., Bertolino, A., Hyde, T. M., Shannon-Weickert, C., Akil, M., Crook, J., Vakkalanka, R. K., Balkissoon, R., Gibbs, R. A., Kleinman, J. E., & Weinberger, D. R.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2004-08-13
- Volume
- 101
- Issue
- 34
- Pages
- 12604-12609
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2105962778
- Cited by
- 416
- References
- 38
- FWCI
- 15.83
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Egan, M. F., Straub, R. E., Goldberg, T. E., Yakub, I., Callicott, J. H., Hariri, A. R., Mattay, V. S., Bertolino, A., Hyde, T. M., Shannon-Weickert, C., Akil, M., Crook, J., Vakkalanka, R. K., Balkissoon, R., Gibbs, R. A., Kleinman, J. E., & Weinberger, D. R. (2004). Variation in GRM3 affects cognition, prefrontal glutamate, and risk for schizophrenia. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0405077101
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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