Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use
© 2019, The Author(s), under exclusive licence to Springer Nature America, Inc. Tobacco and alcohol use are leading causes of mortality that influence risk for many complex diseases and disorders1. They are heritable2,3 and etiologically related4,5 behaviors that have been resistant to gene discover...
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2022
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| Online Access: | https://hdl.handle.net/1721.1/134731.2 |
| _version_ | 1811081796250501120 |
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| author | Li, Yue Kellis, Manolis |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Li, Yue Kellis, Manolis |
| author_sort | Li, Yue |
| collection | MIT |
| description | © 2019, The Author(s), under exclusive licence to Springer Nature America, Inc. Tobacco and alcohol use are leading causes of mortality that influence risk for many complex diseases and disorders1. They are heritable2,3 and etiologically related4,5 behaviors that have been resistant to gene discovery efforts6–11. In sample sizes up to 1.2 million individuals, we discovered 566 genetic variants in 406 loci associated with multiple stages of tobacco use (initiation, cessation, and heaviness) as well as alcohol use, with 150 loci evidencing pleiotropic association. Smoking phenotypes were positively genetically correlated with many health conditions, whereas alcohol use was negatively correlated with these conditions, such that increased genetic risk for alcohol use is associated with lower disease risk. We report evidence for the involvement of many systems in tobacco and alcohol use, including genes involved in nicotinic, dopaminergic, and glutamatergic neurotransmission. The results provide a solid starting point to evaluate the effects of these loci in model organisms and more precise substance use measures. |
| first_indexed | 2024-09-23T11:52:36Z |
| format | Article |
| id | mit-1721.1/134731.2 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T11:52:36Z |
| publishDate | 2022 |
| publisher | Springer Nature |
| record_format | dspace |
| spelling | mit-1721.1/134731.22022-09-30T16:48:48Z Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use Li, Yue Kellis, Manolis Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science © 2019, The Author(s), under exclusive licence to Springer Nature America, Inc. Tobacco and alcohol use are leading causes of mortality that influence risk for many complex diseases and disorders1. They are heritable2,3 and etiologically related4,5 behaviors that have been resistant to gene discovery efforts6–11. In sample sizes up to 1.2 million individuals, we discovered 566 genetic variants in 406 loci associated with multiple stages of tobacco use (initiation, cessation, and heaviness) as well as alcohol use, with 150 loci evidencing pleiotropic association. Smoking phenotypes were positively genetically correlated with many health conditions, whereas alcohol use was negatively correlated with these conditions, such that increased genetic risk for alcohol use is associated with lower disease risk. We report evidence for the involvement of many systems in tobacco and alcohol use, including genes involved in nicotinic, dopaminergic, and glutamatergic neurotransmission. The results provide a solid starting point to evaluate the effects of these loci in model organisms and more precise substance use measures. 2022-09-30T16:48:47Z 2021-10-27T20:08:53Z 2022-09-30T16:48:47Z 2019 2019-07-18T13:40:47Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/134731.2 en 10.1038/s41588-018-0307-5 Nature Genetics Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/octet-stream Springer Nature PMC |
| spellingShingle | Li, Yue Kellis, Manolis Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use |
| title | Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use |
| title_full | Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use |
| title_fullStr | Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use |
| title_full_unstemmed | Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use |
| title_short | Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use |
| title_sort | association studies of up to 1 2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use |
| url | https://hdl.handle.net/1721.1/134731.2 |
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