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. 2020 Jan 27;10(1):38.
doi: 10.1038/s41398-020-0706-0.

Genomic influences on self-reported childhood maltreatment

Shareefa Dalvie  1 Adam X Maihofer  2   3   4 Jonathan R I Coleman  5   6 Bekh Bradley  7   8 Gerome Breen  5   6 Leslie A Brick  9 Chia-Yen Chen  10   11   12 Karmel W Choi  12   13   14 Laramie E Duncan  15 Guia Guffanti  16   17 Magali Haas  18 Supriya Harnal  12 Israel Liberzon  19 Nicole R Nugent  9   20 Allison C Provost  18 Kerry J Ressler  8   16   17 Katy Torres  2   3   4 Ananda B Amstadter  21 S Bryn Austin  16   22   23   24 Dewleen G Baker  2   3   25 Elizabeth A Bolger  16   17 Richard A Bryant  26 Joseph R Calabrese  27 Douglas L Delahanty  28   29 Lindsay A Farrer  30 Norah C Feeny  31 Janine D Flory  32 David Forbes  33 Sandro Galea  34 Aarti Gautam  35 Joel Gelernter  36   37   38 Rasha Hammamieh  39 Marti Jett  39 Angela G Junglen  28 Milissa L Kaufman  16   17 Ronald C Kessler  40 Alaptagin Khan  17   40 Henry R Kranzler  41   42 Lauren A M Lebois  16   17 Charles Marmar  43 Matig R Mavissakalian  27 Alexander McFarlane  44 Meaghan O' Donnell  33 Holly K Orcutt  45 Robert H Pietrzak  46   47 Victoria B Risbrough  2   3   4 Andrea L Roberts  48 Alex O Rothbaum  31 Peter Roy-Byrne  49 Ken Ruggiero  50 Antonia V Seligowski  16   17 Christina M Sheerin  21 Derrick Silove  51 Jordan W Smoller  10   12   14 Murray B Stein  2   25   52 Martin H Teicher  16   17 Robert J Ursano  53 Miranda Van Hooff  44 Sherry Winternitz  16   17 Jonathan D Wolff  17 Rachel Yehuda  32   54 Hongyu Zhao  55 Lori A Zoellner  56 Dan J Stein  57 Karestan C Koenen  11   12   58 Caroline M Nievergelt  2   3   4
Affiliations

Genomic influences on self-reported childhood maltreatment

Shareefa Dalvie et al. Transl Psychiatry. .

Abstract

Childhood maltreatment is highly prevalent and serves as a risk factor for mental and physical disorders. Self-reported childhood maltreatment appears heritable, but the specific genetic influences on this phenotype are largely unknown. The aims of this study were to (1) identify genetic variation associated with self-reported childhood maltreatment, (2) estimate SNP-based heritability (h2snp), (3) assess predictive value of polygenic risk scores (PRS) for childhood maltreatment, and (4) quantify genetic overlap of childhood maltreatment with mental and physical health-related phenotypes, and condition the top hits from our analyses when such overlap is present. Genome-wide association analysis for childhood maltreatment was undertaken, using a discovery sample from the UK Biobank (UKBB) (n = 124,000) and a replication sample from the Psychiatric Genomics Consortium-posttraumatic stress disorder group (PGC-PTSD) (n = 26,290). h2snp for childhood maltreatment and genetic correlations with mental/physical health traits were calculated using linkage disequilibrium score regression. PRS was calculated using PRSice and mtCOJO was used to perform conditional analysis. Two genome-wide significant loci associated with childhood maltreatment (rs142346759, p = 4.35 × 10-8, FOXP1; rs10262462, p = 3.24 × 10-8, FOXP2) were identified in the discovery dataset but were not replicated in PGC-PTSD. h2snp for childhood maltreatment was ~6% and the PRS derived from the UKBB was significantly predictive of childhood maltreatment in PGC-PTSD (r2 = 0.0025; p = 1.8 × 10-15). The most significant genetic correlation of childhood maltreatment was with depressive symptoms (rg = 0.70, p = 4.65 × 10-40), although we show evidence that our top hits may be specific to childhood maltreatment. This is the first large-scale genetic study to identify specific variants associated with self-reported childhood maltreatment. Speculatively, FOXP genes might influence externalizing traits and so be relevant to childhood maltreatment. Alternatively, these variants may be associated with a greater likelihood of reporting maltreatment. A clearer understanding of the genetic relationships of childhood maltreatment, including particular abuse subtypes, with a range of phenotypes, may ultimately be useful in in developing targeted treatment and prevention strategies.

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Conflict of interest statement

H.R.K. is a member of the American Society of Clinical Psychopharmacology’s Alcohol Clinical Trials Initiative (ACTIVE), which in the last 3 years was supported by AbbVie, Alkermes, Amygdala Neurosciences, Arbor, Ethypharm, Indivior, Lilly, Lundbeck, Otsuka, and Pfizer. H.R.K. and J.G. are named as inventors on PCT patent application #15/878,640 entitled: “Genotype-guided dosing of opioid agonists,” filed January 24, 2018. In the past 3 years, D.J.S. has received research grants and/or consultancy honoraria from Lundbeck and Sun. In the past 3 years, R.C.K. received support for his epidemiological studies from Sanofi Aventis; was a consultant for Johnson & Johnson Wellness and Prevention, Sage Pharmaceuticals, Shire, Takeda; and served on an advisory board for the Johnson & Johnson. Services Inc. Lake Nona Life Project. Kessler is a co-owner of DataStat, Inc., a market research firm that carries out healthcare research. M.B.S. has in the past 3 years been a consultant for Aptinyx, Bionomics, Dart Neuroscience, Janssen, Jazz Pharmaceuticals, Neurocrine Biosciences, Oxeia Biopharmaceuticals, and Pfizer. R.Y. is a co-inventor of the following patent application: “Genes associated with posttraumatic-stress disorder. European Patent# EP 2334816 B1.

Figures

Fig. 1
Fig. 1. Manhattan plot of UKBB GWAS for childhood maltreatment, showing the top variants.
The horizontal line represents genome-wide significance at p < 5 × 10−8.
Fig. 2
Fig. 2
Top ten genetic correlations between several groups of traits (from psychiatric, anthropomorphic, smoking behavior, reproductive, aging, education, autoimmune, and cardio-metabolic categories) and childhood maltreatment (meta-analysis).

References

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