Genome-scale neurogenetics: methodology and meaning
Genetic analysis is currently offering glimpses into molecular mechanisms underlying such neuropsychiatric disorders as schizophrenia, bipolar disorder and autism. After years of frustration, success in identifying disease-associated DNA sequence variation has followed from new genomic technologies,...
| Main Authors: | , , |
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| Format: | Article |
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Nature Publishing Group
2017
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| Online Access: | http://hdl.handle.net/1721.1/112275 https://orcid.org/0000-0002-8021-277X |
| _version_ | 1811082168371249152 |
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| author | McCarroll, Steven A Feng, Guoping Hyman, Steven E |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences McCarroll, Steven A Feng, Guoping Hyman, Steven E |
| author_sort | McCarroll, Steven A |
| collection | MIT |
| description | Genetic analysis is currently offering glimpses into molecular mechanisms underlying such neuropsychiatric disorders as schizophrenia, bipolar disorder and autism. After years of frustration, success in identifying disease-associated DNA sequence variation has followed from new genomic technologies, new genome data resources, and global collaborations that could achieve the scale necessary to find the genes underlying highly polygenic disorders. Here we describe early results from genome-scale studies of large numbers of subjects and the emerging significance of these results for neurobiology. |
| first_indexed | 2024-09-23T11:58:40Z |
| format | Article |
| id | mit-1721.1/112275 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T11:58:40Z |
| publishDate | 2017 |
| publisher | Nature Publishing Group |
| record_format | dspace |
| spelling | mit-1721.1/1122752022-10-01T07:25:12Z Genome-scale neurogenetics: methodology and meaning McCarroll, Steven A Feng, Guoping Hyman, Steven E Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences McGovern Institute for Brain Research at MIT McCarroll, Steven A Feng, Guoping Genetic analysis is currently offering glimpses into molecular mechanisms underlying such neuropsychiatric disorders as schizophrenia, bipolar disorder and autism. After years of frustration, success in identifying disease-associated DNA sequence variation has followed from new genomic technologies, new genome data resources, and global collaborations that could achieve the scale necessary to find the genes underlying highly polygenic disorders. Here we describe early results from genome-scale studies of large numbers of subjects and the emerging significance of these results for neurobiology. 2017-11-22T15:24:18Z 2017-11-22T15:24:18Z 2014-05 2014-01 2017-11-06T13:17:50Z Article http://purl.org/eprint/type/JournalArticle 1097-6256 1546-1726 http://hdl.handle.net/1721.1/112275 McCarroll, Steven A et al. “Genome-Scale Neurogenetics: Methodology and Meaning.” Nature Neuroscience 17, 6 (May 2014): 756–763 © 2014 Nature America, Inc https://orcid.org/0000-0002-8021-277X http://dx.doi.org/10.1038/NN.3716 Nature Neuroscience Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Nature Publishing Group PMC |
| spellingShingle | McCarroll, Steven A Feng, Guoping Hyman, Steven E Genome-scale neurogenetics: methodology and meaning |
| title | Genome-scale neurogenetics: methodology and meaning |
| title_full | Genome-scale neurogenetics: methodology and meaning |
| title_fullStr | Genome-scale neurogenetics: methodology and meaning |
| title_full_unstemmed | Genome-scale neurogenetics: methodology and meaning |
| title_short | Genome-scale neurogenetics: methodology and meaning |
| title_sort | genome scale neurogenetics methodology and meaning |
| url | http://hdl.handle.net/1721.1/112275 https://orcid.org/0000-0002-8021-277X |
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