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GWAS Study

Genomic influences on self-reported childhood maltreatment.

Dalvie S, Maihofer AX, Coleman JRI et al.

32066696 PubMed ID
GWAS Study Type
151001 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

DS
Dalvie S
MA
Maihofer AX
CJ
Coleman JRI
BB
Bradley B
BG
Breen G
BL
Brick LA
CC
Chen CY
CK
Choi KW
DL
Duncan LE
GG
Guffanti G
HM
Haas M
HS
Harnal S
LI
Liberzon I
NN
Nugent NR
PA
Provost AC
RK
Ressler KJ
TK
Torres K
AA
Amstadter AB
BA
Bryn Austin S
BD
Baker DG
BE
Bolger EA
BR
Bryant RA
CJ
Calabrese JR
DD
Delahanty DL
FL
Farrer LA
FN
Feeny NC
FJ
Flory JD
FD
Forbes D
GS
Galea S
GA
Gautam A
GJ
Gelernter J
HR
Hammamieh R
JM
Jett M
JA
Junglen AG
KM
Kaufman ML
KR
Kessler RC
KA
Khan A
KH
Kranzler HR
LL
Lebois LAM
MC
Marmar C
MM
Mavissakalian MR
MA
McFarlane A
DM
Donnell MO
OH
Orcutt HK
PR
Pietrzak RH
RV
Risbrough VB
RA
Roberts AL
RA
Rothbaum AO
RP
Roy-Byrne P
RK
Ruggiero K
SA
Seligowski AV
SC
Sheerin CM
SD
Silove D
SJ
Smoller JW
SM
Stein MB
TM
Teicher MH
UR
Ursano RJ
VH
Van Hooff M
WS
Winternitz S
WJ
Wolff JD
YR
Yehuda R
ZH
Zhao H
ZL
Zoellner LA
SD
Stein DJ
KK
Koenen KC
NC
Nievergelt CM
Chapter II

Abstract

Summary of the research findings

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.

124,711 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

151001
Total Participants
GWAS
Study Type
Yes
Replicated
26,290 European ancestry individuals
Replication Participants
European
Ancestry
Chapter IV

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