Multi-ancestry fine-mapping improves precision to identify causal genes in transcriptome-wide association studies-Reference-Cited by-同舟云学术

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Multi-ancestry fine-mapping improves precision to identify causal genes in transcriptome-wide association studies

Published:2022-08 Issue:8 Volume:109 Page:1388-1404
ISSN:0002-9297
Container-title:The American Journal of Human Genetics
language:en
Short-container-title:The American Journal of Human Genetics

Author:

Lu Zeyun,Gopalan Shyamalika,Yuan Dong,Conti David V.,Pasaniuc Bogdan,Gusev Alexander,Mancuso Nicholas

Funder

National Heart, Lung, and Blood Institute

National Institutes of Health

Publisher

Elsevier BV

Subject

Genetics (clinical),Genetics

Reference85 articles.

1. Integrative approaches for large-scale transcriptome-wide association studies;Gusev;Nat. Genet.,2016

2. A gene-based association method for mapping traits using reference transcriptome data;Gamazon;Nat. Genet.,2015

3. Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets;Zhu;Nat. Genet.,2016

4. Systematic localization of common disease-associated variation in regulatory DNA;Maurano;Science,2012

5. Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases;Gusev;Am. J. Hum. Genet.,2014

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