Gene expression imputation across multiple brain regions provides insights into schizophrenia risk-Reference-Cited by-同舟云学术

Gene expression imputation across multiple brain regions provides insights into schizophrenia risk

Published:2019-03-25 Issue:4 Volume:51 Page:659-674
ISSN:1061-4036
Container-title:Nature Genetics
language:en
Short-container-title:Nat Genet

Author:

Huckins Laura M.^ORCID, ,Dobbyn Amanda,Ruderfer Douglas M.,Hoffman Gabriel^ORCID,Wang Weiqing,Pardiñas Antonio F.^ORCID,Rajagopal Veera M.^ORCID,Als Thomas D.^ORCID,T. Nguyen Hoang,Girdhar Kiran,Boocock James,Roussos Panos^ORCID,Fromer Menachem^ORCID,Kramer Robin,Domenici Enrico^ORCID,Gamazon Eric R.^ORCID,Purcell Shaun^ORCID,Demontis Ditte^ORCID,Børglum Anders D.^ORCID,Walters James T. R.^ORCID,O’Donovan Michael C.^ORCID,Sullivan Patrick^ORCID,Owen Michael J.^ORCID,Devlin Bernie,Sieberts Solveig K.^ORCID,Cox Nancy J.,Im Hae Kyung^ORCID,Sklar Pamela,Stahl Eli A.^ORCID, ,

Publisher

Springer Science and Business Media LLC

Subject

Genetics

Link

http://www.nature.com/articles/s41588-019-0364-4.pdf

Reference94 articles.

1. Nicolae, D. L. et al. Trait-associated SNPs are more likely to be eQTLs: annotation to enhance discovery from GWAS. PLoS Genet. 6, e1000888 (2010).

2. Dobbyn, A. et al. Co-localization of conditional eQTL and GWAS signatures in schizophrenia. Preprint at https://www.biorxiv.org/content/10.1101/129429v2 (2017).

3. Gilad, Y., Rifkin, S. A. & Pritchard, J. K. Revealing the architecture of gene regulation: the promise of eQTL studies. Trends Genet. 24, 408–415 (2008).

4. Cookson, W., Liang, L., Abecasis, G., Moffatt, M. & Lathrop, M. Mapping complex disease traits with global gene expression. Nat. Rev. Genet. 10, 184–194 (2009).

5. Albert, F. W. & Kruglyak, L. The role of regulatory variation in complex traits and disease. Nat. Rev. Genet. 16, 197–212 (2015).

Cited by 161 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Accurate identification of genes associated with brain disorders by integrating heterogeneous genomic data into a Bayesian framework;eBioMedicine;2024-09

2. Network-wide risk convergence in gene co-expression identifies reproducible genetic hubs of schizophrenia risk;Neuron;2024-09

3. Deciphering causal relationships between cell type-specific genetic factors and brain imaging-derived phenotypes and disorders;2024-08-31

4. Harnessing Artificial Intelligence in Multimodal Omics Data Integration: Paving the Path for the Next Frontier in Precision Medicine;Annual Review of Biomedical Data Science;2024-08-23

5. Harnessing transcriptomic signals for amyotrophic lateral sclerosis to identify novel drugs and enhance risk prediction;Heliyon;2024-08