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JAMA Psychiatry. 2020 Jan 8. doi: 10.1001/jamapsychiatry.2019.4188. [Epub ahead of print]

Shared Genetic Loci Between Body Mass Index and Major Psychiatric Disorders: A Genome-wide Association Study.

Author information

1
NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
2
Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
3
Department of Medical Genetics, Oslo University Hospital, Oslo, Norway.
4
Department of Radiology, University of California, San Diego, La Jolla.
5
Department of Cognitive Science, University of California, San Diego, La Jolla.
6
Multimodal Imaging Laboratory, University of California, San Diego, La Jolla.
7
Department of Psychiatry, University of California, San Diego, La Jolla.
8
Department of Neurosciences, University of California, San Diego, La Jolla.
9
NORMENT Centre, Department of Clinical Science, University of Bergen, Bergen, Norway.

Abstract

Importance:

People with major psychiatric disorders (MPDs) have a 10- to 20-year shorter life span than the rest of the population, and this difference is mainly due to comorbid cardiovascular diseases. Genome-wide association studies have identified common variants involved in schizophrenia (SCZ), bipolar disorder (BIP), and major depression (MD) and body mass index (BMI), a key cardiometabolic risk factor. However, genetic variants jointly influencing MPD and BMI remain largely unknown.

Objective:

To assess the extent of the overlap between the genetic architectures of MPDs and BMI and identify genetic loci shared between them.

Design, Setting, and Participants:

Using a conditional false discovery rate statistical framework, independent genome-wide association study data on individuals with SCZ (n = 82 315), BIP (n = 51 710), MD (n = 480 359), and BMI (n = 795 640) were analyzed. The UK Biobank cohort (n = 29 740) was excluded from the MD data set to avoid sample overlap. Data were collected from August 2017 to May 2018, and analysis began July 2018.

Main Outcomes and Measures:

The primary outcomes were a list of genetic loci shared between BMI and MPDs and their functional pathways.

Results:

Genome-wide association study data from 1 380 284 participants were analyzed, and the genetic correlation between BMI and MPDs varied (SCZ: r for genetic = -0.11, P = 2.1 × 10-10; BIP: r for genetic = -0.06, P = .0103; MD: r for genetic = 0.12, P = 6.7 × 10-10). Overall, 63, 17, and 32 loci shared between BMI and SCZ, BIP, and MD, respectively, were analyzed at conjunctional false discovery rate less than 0.01. Of the shared loci, 34% (73 of 213) in SCZ, 52% (36 of 69) in BIP, and 57% (56 of 99) in MD had risk alleles associated with higher BMI (conjunctional false discovery rate <0.05), while the rest had opposite directions of associations. Functional analyses indicated that the overlapping loci are involved in several pathways including neurodevelopment, neurotransmitter signaling, and intracellular processes, and the loci with concordant and opposite association directions pointed mostly to different pathways.

Conclusions and Relevance:

In this genome-wide association study, extensive polygenic overlap between BMI and SCZ, BIP, and MD were found, and 111 shared genetic loci were identified, implicating novel functional mechanisms. There was mixture of association directions in SCZ and BMI, albeit with a preponderance of discordant ones.

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