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Genomic influences on self-reported childhood maltreatment.

Shareefa DalvieAdam X MaihoferJonathan R I ColemanBekh BradleyGerome BreenLeslie A BrickChia-Yen ChenKarmel W ChoiLaramie E DuncanGuia GuffantiMagali HaasSupriya HarnalIsrael LiberzonNicole R NugentAllison C ProvostKerry J ResslerKaty TorresAnanda B AmstadterS Bryn AustinDewleen G BakerElizabeth A BolgerRichard A BryantJoseph R CalabreseDouglas L DelahantyLindsay A FarrerNorah C FeenyJanine D FloryDavid ForbesSandro GaleaAarti GautamJoshua C GrayRasha HammamiehMarti JettAngela G JunglenMilissa L KaufmanRonald C KesslerAlaptagin KhanHenry R KranzlerLauren A M LeboisCharles MarmarMatig R MavissakalianAlexander McFarlaneMeaghan O' DonnellHolly K OrcuttRobert H PietrzakVictoria B RisbroughAndrea L RobertsAlex O RothbaumPeter Roy-ByrneKen RuggieroAntonia V SeligowskiChristina M SheerinDerrick SiloveJordan W SmollerMurray B SteinMartin H TeicherRobert J UrsanoMiranda Van HooffSherry WinternitzJonathan D WolffRachel YehudaHongyu ZhaoLori A ZoellnerDan J SteinKarestan C KoenenCaroline M Nievergelt
Published in: Translational psychiatry (2020)
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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