Statistical methods to detect pleiotropy in human complex traits

Sophie Hackinger, Eleftheria Zeggini

Research output: Contribution to journalReview articlepeer-review

87 Scopus citations


In recent years pleiotropy, the phenomenon of one genetic locus influencing several traits, has become a widely researched field in human genetics. With the increasing availability of genome-wide association study summary statistics, as well as the establishment of deeply phenotyped sample collections, it is now possible to systematically assess the genetic overlap between multiple traits and diseases. In addition to increasing power to detect associated variants, multi-trait methods can also aid our understanding of how different disorders are aetiologically linked by highlighting relevant biological pathways. A plethora of available tools to perform such analyses exists, each with their own advantages and limitations. In this review, we outline some of the currently available methods to conduct multi-trait analyses. First, we briefly introduce the concept of pleiotropy and outline the current landscape of pleiotropy research in human genetics; second, we describe analytical considerations and analysis methods; finally, we discuss future directions for the field.

Original languageEnglish
Article number170125
JournalOpen Biology
Issue number11
StatePublished - 2017
Externally publishedYes


  • Genome-wide association study
  • Pleiotropy
  • Statistical methods


Dive into the research topics of 'Statistical methods to detect pleiotropy in human complex traits'. Together they form a unique fingerprint.

Cite this