Applying polygenic risk scores to postpartum depression

Byrne, Edna M., Carrillo-Roa, Tania, Penninx, Brenda W. J. H., Sallis, Hannah M., Viktorin, Alexander, Chapman, Brett, Henders, Anjali K., Pergadia, Michele L., Heath, Andrew C., Madden, Pamela A. F., Sullivan, Patrick F., Boschloo, Lynn, van Grootheest, Gerard, McMahon, George, Lawlor, Debbie A., Landen, Mikael, Lichtenstein, Paul, Magnusson, Patrik K. E., Evans, David M., Montgomery, Grant W., Boomsma, Dorret I., Martin, Nicholas G., Meltzer-Brody, Samantha and Wray, Naomi R. (2014) Applying polygenic risk scores to postpartum depression. Archives of Women's Mental Health, 17 6: 519-528. doi:10.1007/s00737-014-0428-5

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Author Byrne, Edna M.
Carrillo-Roa, Tania
Penninx, Brenda W. J. H.
Sallis, Hannah M.
Viktorin, Alexander
Chapman, Brett
Henders, Anjali K.
Pergadia, Michele L.
Heath, Andrew C.
Madden, Pamela A. F.
Sullivan, Patrick F.
Boschloo, Lynn
van Grootheest, Gerard
McMahon, George
Lawlor, Debbie A.
Landen, Mikael
Lichtenstein, Paul
Magnusson, Patrik K. E.
Evans, David M.
Montgomery, Grant W.
Boomsma, Dorret I.
Martin, Nicholas G.
Meltzer-Brody, Samantha
Wray, Naomi R.
Title Applying polygenic risk scores to postpartum depression
Journal name Archives of Women's Mental Health   Check publisher's open access policy
ISSN 1434-1816
Publication date 2014-07-19
Year available 2014
Sub-type Article (original research)
DOI 10.1007/s00737-014-0428-5
Open Access Status File (Author Post-print)
Volume 17
Issue 6
Start page 519
End page 528
Total pages 10
Place of publication Wien, Austria
Publisher Springer Wien
Language eng
Subject 2729 Obstetrics and Gynaecology
2738 Psychiatry and Mental health
Abstract The etiology of major depressive disorder (MDD) is likely to be heterogeneous, but postpartum depression (PPD) is hypothesized to represent a more homogenous subset of MDD. We use genome-wide SNP data to explore this hypothesis. We assembled a total cohort of 1,420 self-report cases of PPD and 9,473 controls with genome-wide genotypes from Australia, The Netherlands, Sweden and the UK. We estimated the total variance attributable to genotyped variants. We used association results from the Psychiatric Genomics Consortia (PGC) of bipolar disorder (BPD) and MDD to create polygenic scores in PPD and related MDD data sets to estimate the genetic overlap between the disorders. We estimated that the percentage of variance on the liability scale explained by common genetic variants to be 0.22 with a standard error of 0.12, p = 0.02. The proportion of variance (R2) from a logistic regression of PPD case/control status in all four cohorts on a SNP profile score weighted by PGC-BPD association results was small (0.1 %) but significant (p = 0.004) indicating a genetic overlap between BPD and PPD. The results were highly significant in the Australian and Dutch cohorts (R2 > 1.1 %, p < 0.008), where the majority of cases met criteria for MDD. The genetic overlap between BPD and MDD was not significant in larger Australian and Dutch MDD case/control cohorts after excluding PPD cases (R2 = 0.06 %, p = 0.08), despite the larger MDD group affording more power. Our results suggest an empirical genetic evidence for a more important shared genetic etiology between BPD and PPD than between BPD and MDD.
Keyword Depression
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID FT0991360
RC2 MH089951
DK U01-066134
Institutional Status UQ
Additional Notes Published online ahead of print 19 July 2014.

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
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UQ Diamantina Institute Publications
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