PhenoSpD:an integrated toolkit for phenotypic correlation estimation and multiple testing correction using GWAS summary statistics

Article English OPEN
Zheng, Jie; Richardson, Tom G; Millard, Louise A C; Hemani, Gibran; Elsworth, Benjamin L; Raistrick, Christopher A; Vilhjalmsson, Bjarni; Neale, Benjamin M; Haycock, Philip C; Smith, George Davey; Gaunt, Tom R;
(2018)
  • Publisher: Oxford University Press
  • Journal: volume 7,issue 8,pages1-10issn: 2047-217X, eissn: 2047-217X
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.1093/gigascience/giy090, pmc: PMC6109640
  • Subject: MetaCCA, Genome-wide association study | Summary Statistics | /dk/atira/pure/researchoutput/pubmedpublicationtype/D016428 | /dk/atira/pure/researchoutput/pubmedpublicationtype/D013485 | Phenotypic correlation | ICEP | multiple testing | LD score regression | /dk/atira/pure/core/keywords/icep | Technical Note | Journal Article | Research Support, Non-U.S. Gov't

Background: Identifying phenotypic correlations between complex traits and diseases can provide useful etiological insights. Restricted access to much individual-level phenotype data makes it difficult to estimate large-scale phenotypic correlation across the human phen... View more
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