4.7 Article

Dissection of major depressive disorder using polygenic risk scores for schizophrenia in two independent cohorts

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TRANSLATIONAL PSYCHIATRY
卷 6, 期 -, 页码 -

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NATURE PUBLISHING GROUP
DOI: 10.1038/tp.2016.207

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资金

  1. Wellcome Trust Strategic Award [104036/Z/14/Z]
  2. Chief Scientist Office (CSO) of the Scottish Government Health Directorates [CZD/16/6]
  3. Scottish Funding Council [HR03006]
  4. Medical Research Council of UK
  5. Wellcome Trust
  6. JMAS SIM fellowship from the Royal College of Physicians of Edinburgh
  7. ESAT College Fellowship from the University of Edinburgh
  8. Biotechnology and Biological Sciences Research Council (BBSRC)
  9. Medical Research Council (MRC)
  10. Age UK (The Disconnected Mind project)
  11. Chief Scientist Office [CZD/16/6/4] Funding Source: researchfish
  12. Medical Research Council [MC_qA137853, 1292844, MR/K026992/1, MC_PC_U127561128, 1578661, MR/J000914/1] Funding Source: researchfish
  13. Medical Research Foundation [C0396] Funding Source: researchfish
  14. MRC [MR/J000914/1, MC_PC_U127561128] Funding Source: UKRI

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Major depressive disorder (MDD) is known for its substantial clinical and suspected causal heterogeneity. It is characterized by low mood, psychomotor slowing and increased levels of the personality trait neuroticism; factors also associated with schizophrenia (SCZ). It is possible that some cases of MDD may have a substantial genetic loading for SCZ. The presence of SCZ-like MDD subgroups would be indicated by an interaction between MDD status and polygenic risk of SCZ on cognitive, personality and mood measures. Here, we hypothesized that higher SCZ polygenic risk would define larger MDD case-control differences in cognitive ability, and smaller differences in distress and neuroticism. Polygenic risk scores (PRSs) for SCZ and their association with cognitive variables, neuroticism, mood and psychological distress were estimated in a large population-based cohort (Generation Scotland: Scottish Family Health Study, GS:SFHS). The individuals were divided into those with, and without, depression (n=2587 and n=16 764, respectively) to test for the interactions between MDD status and schizophrenia risk. Replication was sought in UK Biobank (UKB; n=6049 and n=27 476 cases and controls, respectively). In both the cohorts, we found significant interactions between SCZ-PRS and MDD status for measures of psychological distress (beta(GS) =-0.04, PGS = 0.014 and beta(UKB) =-0.09, PUKB. 0.001 for GS: SFHS and UKB, respectively) and neuroticism (beta(GS) =-0.04, PGS = 0.002 and beta(UKB) =-0.06, P-UKB = 0.023). In both the cohorts, there was a reduction of case-control differences on a background of higher genetic risk of SCZ. These findings suggest that depression on a background of high genetic risk for SCZ may show attenuated associations with distress and neuroticism. This may represent a causally distinct form of MDD more closely related to SCZ.

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