Inferring causal relationships between phenotypes using summary statistics from genome-wide associat...
Inferring causal relationships between phenotypes using summary statistics from genome-wide association studies
About this item
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Author / Creator
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
Genome-wide association studies (GWAS) have successfully identified numerous genetic variants associated with diverse complex phenotypes and diseases, and provided tremendous opportunities for further analyses using summary association statistics. Recently, Pickrell et al. developed a robust method for causal inference using independent putative ca...
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Full title
Inferring causal relationships between phenotypes using summary statistics from genome-wide association studies
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6343668
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6343668
Other Identifiers
ISSN
0340-6717
E-ISSN
1432-1203
DOI
10.1007/s00439-018-1876-1
