Rare variant association analysis methods for complex traits

Jennifer Asimit, Eleftheria Zeggini

Research output: Contribution to journalReview articlepeer-review

205 Scopus citations

Abstract

There has been increasing interest in rare variants and their association with disease, and several rare variantdisease associations have already been detected. The usual association tests for common variants are underpowered for detecting variants of lower frequency, so alternative approaches are required. In addition to reviewing the association analysis methods for rare variants, we discuss the limitations of genome-wide association studies in identifying rare variants and the problems that arise in the imputation of rare variants.

Original languageEnglish
Pages (from-to)293-308
Number of pages16
JournalAnnual Review of Genetics
Volume44
DOIs
StatePublished - 1 Dec 2010
Externally publishedYes

Keywords

  • 1,000 genomes project
  • collapsing method
  • imputation
  • sequencing

Fingerprint

Dive into the research topics of 'Rare variant association analysis methods for complex traits'. Together they form a unique fingerprint.

Cite this