A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles-Reference-Cited by-同舟云学术

A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles

Published:2020-03-09 Issue:4 Volume:23 Page:583-593
ISSN:1097-6256
Container-title:Nature Neuroscience
language:en
Short-container-title:Nat Neurosci

Author:

Sey Nancy Y. A.,Hu Benxia,Mah Won,Fauni Harper,McAfee Jessica Caitlin,Rajarajan Prashanth,Brennand Kristen J.^ORCID,Akbarian Schahram^ORCID,Won Hyejung^ORCID

Funder

U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke

UNC | University of North Carolina at Chapel Hill

U.S. Department of Health & Human Services | NIH | National Institute of Mental Health

Brain and Behavior Research Foundation

Simons Foundation

Publisher

Springer Science and Business Media LLC

Subject

General Neuroscience

Link

http://www.nature.com/articles/s41593-020-0603-0.pdf

Reference66 articles.

1. Edwards, S. L., Beesley, J., French, J. D. & Dunning, A. M. Beyond GWASs: illuminating the dark road from association to function. Am. J. Hum. Genet. 93, 779–797 (2013).

2. de Leeuw, C. A., Mooij, J. M., Heskes, T. & Posthuma, D. MAGMA: generalized gene-set analysis of GWAS data. PLoS Comput. Biol. 11, e1004219 (2015).

3. Wang, D. et al. Comprehensive functional genomic resource and integrative model for the human brain. Science 362, eaat8464 (2018).

4. Won, H. et al. Chromosome conformation elucidates regulatory relationships in developing human brain. Nature 538, 523–527 (2016).

5. Roadmap Epigenomics Consortium et al. Integrative analysis of 111 reference human epigenomes. Nature 518, 317–330 (2015).

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