| Title |
Genome-wide association analysis identifies 30 new susceptibility loci for schizophrenia
|
|---|---|
| Published in |
Nature Genetics, October 2017
|
| DOI | 10.1038/ng.3973 |
| Pubmed ID | |
| Authors |
Zhiqiang Li, Jianhua Chen, Hao Yu, Lin He, Yifeng Xu, Dai Zhang, Qizhong Yi, Changgui Li, Xingwang Li, Jiawei Shen, Zhijian Song, Weidong Ji, Meng Wang, Juan Zhou, Boyu Chen, Yahui Liu, Jiqiang Wang, Peng Wang, Ping Yang, Qingzhong Wang, Guoyin Feng, Benxiu Liu, Wensheng Sun, Baojie Li, Guang He, Weidong Li, Chunling Wan, Qi Xu, Wenjin Li, Zujia Wen, Ke Liu, Fang Huang, Jue Ji, Stephan Ripke, Weihua Yue, Patrick F Sullivan, Michael C O'Donovan, Yongyong Shi |
| Abstract |
We conducted a genome-wide association study (GWAS) with replication in 36,180 Chinese individuals and performed further transancestry meta-analyses with data from the Psychiatry Genomics Consortium (PGC2). Approximately 95% of the genome-wide significant (GWS) index alleles (or their proxies) from the PGC2 study were overrepresented in Chinese schizophrenia cases, including ∼50% that achieved nominal significance and ∼75% that continued to be GWS in the transancestry analysis. The Chinese-only analysis identified seven GWS loci; three of these also were GWS in the transancestry analyses, which identified 109 GWS loci, thus yielding a total of 113 GWS loci (30 novel) in at least one of these analyses. We observed improvements in the fine-mapping resolution at many susceptibility loci. Our results provide several lines of evidence supporting candidate genes at many loci and highlight some pathways for further research. Together, our findings provide novel insight into the genetic architecture and biological etiology of schizophrenia. |
X Demographics
The data shown below were collected from the profiles of 61 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 18 | 30% |
| United Kingdom | 13 | 21% |
| Germany | 2 | 3% |
| Ireland | 2 | 3% |
| Netherlands | 2 | 3% |
| Australia | 2 | 3% |
| Canada | 1 | 2% |
| Israel | 1 | 2% |
| France | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 16 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 37 | 61% |
| Scientists | 17 | 28% |
| Practitioners (doctors, other healthcare professionals) | 5 | 8% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 381 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 381 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 66 | 17% |
| Researcher | 54 | 14% |
| Student > Bachelor | 52 | 14% |
| Student > Master | 33 | 9% |
| Professor > Associate Professor | 17 | 4% |
| Other | 67 | 18% |
| Unknown | 92 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 79 | 21% |
| Agricultural and Biological Sciences | 52 | 14% |
| Neuroscience | 49 | 13% |
| Medicine and Dentistry | 27 | 7% |
| Psychology | 18 | 5% |
| Other | 41 | 11% |
| Unknown | 115 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 December 2020.
All research outputs
#1,170,455
of 26,017,215 outputs
Outputs from Nature Genetics
#1,913
of 7,639 outputs
Outputs of similar age
#23,692
of 336,866 outputs
Outputs of similar age from Nature Genetics
#35
of 56 outputs
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