Opportunities and challenges for transcriptome-wide association studies
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics
Link
http://www.nature.com/articles/s41588-019-0385-z.pdf
Reference44 articles.
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3. Gusev, A. et al. Integrative approaches for large-scale transcriptome-wide association studies. Nat. Genet. 48, 245–252 (2016).
4. Barbeira, A. N. et al. Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics. Nat. Commun. 9, 1825 (2018).
5. Zhu, Z. et al. Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets. Nat. Genet. 48, 481–487 (2016).
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