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JAMA Psychiatry. 2019 Jan 30. doi: 10.1001/jamapsychiatry.2018.4166. [Epub ahead of print]

Association of Polygenic Liabilities for Major Depression, Bipolar Disorder, and Schizophrenia With Risk for Depression in the Danish Population.

Author information

1
iPSYCH, The Lundbeck Foundation Initiative for Integrated Psychiatric Research, Denmark.
2
National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark.
3
Center for Integrated Register-based Research at Aarhus University, Aarhus, Denmark.
4
Queensland Brain Institute, The University of Queensland, St Lucia, Queensland, Australia.
5
Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Wacol, Queensland, Australia.
6
Mental Health Centre Copenhagen, Capital Region of Denmark, Copenhagen University Hospital, Copenhagen, Denmark.
7
Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark.
8
The Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo, Oslo, Norway.
9
Oslo University Hospital, Oslo, Norway.
10
Psychosis Research Unit, Aarhus University Hospital, Risskov, Denmark.
11
Centre for Integrative Sequencing, Department of Biomedicine and iSEQ, Aarhus University, Aarhus, Denmark.
12
Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
13
Institute of Biological Psychiatry, Copenhagen Mental Health Services, Copenhagen, Denmark.

Abstract

Importance:

Although the usefulness of polygenic risk scores as a measure of genetic liability for major depression (MD) has been established, their association with depression in the general population remains relatively unexplored.

Objective:

To evaluate whether polygenic risk scores for MD, bipolar disorder (BD), and schizophrenia (SZ) are associated with depression in the general population and explore whether these polygenic liabilities are associated with heterogeneity in terms of age at onset and severity at the initial depression diagnosis.

Design, Setting, and Participants:

Participants were drawn from the Danish iPSYCH2012 case-cohort study, a representative sample drawn from the population of Denmark born between May 1, 1981, and December 31, 2005. The hazard of depression was estimated using Cox regressions modified to accommodate the case-cohort design. Case-only analyses were conducted using linear and multinomial regressions. The data analysis was conducted from February 2017 to June 2018.

Exposures:

Polygenic risk scores for MD, BD, and SZ trained using the most recent genome-wide association study results from the Psychiatric Genomics Consortium.

Main Outcomes and Measures:

The main outcome was first depressive episode (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision [ICD-10] code F32) treated in hospital-based psychiatric care. Severity at the initial diagnosis was measured using the ICD-10 code severity specifications (mild, moderate, severe without psychosis, and severe with psychosis) and treatment setting (inpatient, outpatient, and emergency).

Results:

Of 34 573 participants aged 10 to 31 years at censoring, 68% of those with depression were female compared with 48.9% of participants without depression. Each SD increase in polygenic liability for MD, BD, and SZ was associated with 30% (hazard ratio [HR], 1.30; 95% CI, 1.27-1.33), 5% (HR, 1.05; 95% CI, 1.02-1.07), and 12% (HR, 1.12; 95% CI, 1.09-1.15) increases in the hazard of depression, respectively. Among cases, a higher polygenic liability for BD was associated with earlier depression onset (β = -.07; SE = .02; P = .002).

Conclusions and Relevance:

Polygenic liability for MD is associated with first depression in the general population, which supports the idea that these scores tap into an underlying liability for developing the disorder. The fact that polygenic risk for BD and polygenic risk for SZ also were associated with depression is consistent with prior evidence that these disorders share some common genetic overlap. Variations in polygenic liability may contribute slightly to heterogeneity in clinical presentation, but these associations appear minimal.

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