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Gene-environment correlations and causal effects of childhood maltreatment on physical and mental health: a genetically informed approach.

Varun Warrier | Alex S F Kwong | Mannan Luo | Shareefa Dalvie | Jazz Croft | Hannah M Sallis | Jessie Baldwin | Marcus R Munafò | Caroline M Nievergelt | Andrew J Grant | Stephen Burgess | Tyler M Moore | Ran Barzilay | Andrew McIntosh | Marinus H van IJzendoorn | Charlotte A M Cecil
The lancet. Psychiatry | 2021

Childhood maltreatment is associated with poor mental and physical health. However, the mechanisms of gene-environment correlations and the potential causal effects of childhood maltreatment on health are unknown. Using genetics, we aimed to delineate the sources of gene-environment correlation for childhood maltreatment and the causal relationship between childhood maltreatment and health.

Pubmed ID: 33740410

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

  • Agency: Medical Research Council, United Kingdom
    Id: MC_PC_17228
  • Agency: NIMH NIH HHS, United States
    Id: K23 MH120437
  • Agency: Wellcome Trust, United Kingdom
    Id: 204623
  • Agency: Wellcome Trust, United Kingdom
    Id: 217065
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UU_00002/7
  • Agency: Wellcome Trust, United Kingdom
    Id: 214322
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UU_00011/7
  • Agency: British Heart Foundation, United Kingdom
    Id: RG/18/13/33946
  • Agency: British Heart Foundation, United Kingdom
    Id: CH/12/2/29428
  • Agency: Medical Research Council, United Kingdom
    Id: MC_QA137853
  • Agency: British Heart Foundation, United Kingdom
    Id: RG/13/13/30194
  • Agency: Wellcome Trust, United Kingdom
    Id: 104036

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This is a list of tools and resources that we have found mentioned in this publication.


PLINK (tool)

RRID:SCR_001757

Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software.

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METAL (tool)

RRID:SCR_002013

Software application designed to facilitate meta-analysis of large datasets (such as several whole genome scans) in a convenient, rapid and memory efficient manner. (entry from Genetic Analysis Software)

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ALSPAC (tool)

RRID:SCR_007260

A long-term health research project which follows pregnant women and their offspring in a continuous health and developmental study. More than 14,000 mothers enrolled during pregnancy in 1991 and 1992, and the health and development of their children has been followed in great detail. The ALSPAC families have provided a vast amount of genetic and environmental information over the years which can be made available to researchers globally.

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