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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "gsmr2" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'gsmr2: gsmr2 - a tool for causal inference between complex traits'
version: 1.1.1
doi: 10.32614/CRAN.package.gsmr2
abstract: GSMR2 (Generalised Summary-data-based Mendelian Randomisation v2) is an
  improved version of GSMR, which uses GWAS summary statistics to test for a putative
  causal association between two phenotypes (e.g., a modifiable risk factor and a
  disease) based on a multi-SNP model. This version implements a global heterogeneity
  test to remove invalid instrumental variables and provides a causal estimation that
  is more robust to directional pleiotropy.
authors:
- family-names: Zhu
  given-names: Zhihong
  email: z.zhu1@uq.edu.au
- family-names: Xue
  given-names: Angli
  email: a.xue@garvan.org.au
- family-names: Yang
  given-names: Jian
  email: jian.yang@westlake.edu.cn
- family-names: Zheng
  given-names: Zhili
- family-names: Zhang
  given-names: Futao
repository: https://mrcieu.r-universe.dev
commit: e7953cc136ad1cfae14674facde21e90caddea5f
url: https://yanglab.westlake.edu.cn/software/gsmr/
date-released: '2024-01-31'
contact:
- family-names: Zhu
  given-names: Zhihong
  email: z.zhu1@uq.edu.au
- family-names: Xue
  given-names: Angli
  email: a.xue@garvan.org.au
- family-names: Yang
  given-names: Jian
  email: jian.yang@westlake.edu.cn