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Meta-Analysis
. 2021 Sep;26(9):5239-5250.
doi: 10.1038/s41380-020-01006-9. Epub 2021 Jan 22.

Investigating rare pathogenic/likely pathogenic exonic variation in bipolar disorder

Xiaoming Jia #  1 Fernando S Goes #  2 Adam E Locke #  3 Duncan Palmer #  4 Weiqing Wang #  5 Sarah Cohen-Woods  6   7 Giulio Genovese  4 Anne U Jackson  8 Chen Jiang  9 Mark Kvale  10 Niamh Mullins  11 Hoang Nguyen  5 Mehdi Pirooznia  12 Margarita Rivera  7   13 Douglas M Ruderfer  14 Ling Shen  9 Khanh Thai  9 Matthew Zawistowski  8 Yongwen Zhuang  8 Gonçalo Abecasis  8 Huda Akil  15 Sarah Bergen  16 Margit Burmeister  15   17   18   19 Sinéad Chapman  4 Melissa DelaBastide  20 Anders Juréus  16 Hyun Min Kang  8 Pui-Yan Kwok  10 Jun Z Li  17   18 Shawn E Levy  21 Eric T Monson  22 Jennifer Moran  23 Janet Sobell  24 Stanley Watson  15 Virginia Willour  22 Sebastian Zöllner  8   19 Rolf Adolfsson  25 Douglas Blackwood  26 Michael Boehnke  8 Gerome Breen  7   27 Aiden Corvin  28 Nick Craddock  29 Arianna DiFlorio  29 Christina M Hultman  16 Mikael Landen  16   30 Cathryn Lewis  7   31 Steven A McCarroll  32 W Richard McCombie  20 Peter McGuffin  7 Andrew McIntosh  26   33 Andrew McQuillin  34 Derek Morris  28   35 Richard M Myers  21 Michael O'Donovan  29 Roel Ophoff  36   37 Marco Boks  37 Rene Kahn  38 Willem Ouwehand  39 Michael Owen  29 Carlos Pato  24   40 Michele Pato  24   41 Danielle Posthuma  42   43 James B Potash  2 Andreas Reif  44 Pamela Sklar  5 Jordan Smoller  4   45 Patrick F Sullivan  46 John Vincent  47   48 James Walters  29 Benjamin Neale  4   49 Shaun Purcell  50   51 Neil Risch  10 Catherine Schaefer  9 Eli A Stahl  5 Peter P Zandi  52 Laura J Scott  53
Affiliations
Meta-Analysis

Investigating rare pathogenic/likely pathogenic exonic variation in bipolar disorder

Xiaoming Jia et al. Mol Psychiatry. 2021 Sep.

Erratum in

  • Correction: Investigating rare pathogenic/likely pathogenic exonic variation in bipolar disorder.
    Jia X, Goes FS, Locke AE, Palmer D, Wang W, Cohen-Woods S, Genovese G, Jackson AU, Jiang C, Kvale M, Mullins N, Nguyen H, Pirooznia M, Rivera M, Ruderfer DM, Shen L, Thai K, Zawistowski M, Zhuang Y, Abecasis G, Akil H, Bergen S, Burmeister M, Chapman S, DelaBastide M, Juréus A, Kang HM, Kwok PY, Li JZ, Levy SE, Monson ET, Moran J, Sobell J, Watson S, Willour V, Zöllner S, Adolfsson R, Blackwood D, Boehnke M, Breen G, Corvin A, Craddock N, DiFlorio A, Hultman CM, Landen M, Lewis C, McCarroll SA, Richard McCombie W, McGuffin P, McIntosh A, McQuillin A, Morris D, Myers RM, O'Donovan M, Ophoff R, Boks M, Kahn R, Ouwehand W, Owen M, Pato C, Pato M, Posthuma D, Potash JB, Reif A, Sklar P, Smoller J, Sullivan PF, Vincent J, Walters J, Neale B, Purcell S, Risch N, Schaefer C, Stahl EA, Zandi PP, Scott LJ. Jia X, et al. Mol Psychiatry. 2021 Sep;26(9):5251. doi: 10.1038/s41380-021-01063-8. Mol Psychiatry. 2021. PMID: 33674754 Free PMC article. No abstract available.

Abstract

Bipolar disorder (BD) is a serious mental illness with substantial common variant heritability. However, the role of rare coding variation in BD is not well established. We examined the protein-coding (exonic) sequences of 3,987 unrelated individuals with BD and 5,322 controls of predominantly European ancestry across four cohorts from the Bipolar Sequencing Consortium (BSC). We assessed the burden of rare, protein-altering, single nucleotide variants classified as pathogenic or likely pathogenic (P-LP) both exome-wide and within several groups of genes with phenotypic or biologic plausibility in BD. While we observed an increased burden of rare coding P-LP variants within 165 genes identified as BD GWAS regions in 3,987 BD cases (meta-analysis OR = 1.9, 95% CI = 1.3-2.8, one-sided p = 6.0 × 10-4), this enrichment did not replicate in an additional 9,929 BD cases and 14,018 controls (OR = 0.9, one-side p = 0.70). Although BD shares common variant heritability with schizophrenia, in the BSC sample we did not observe a significant enrichment of P-LP variants in SCZ GWAS genes, in two classes of neuronal synaptic genes (RBFOX2 and FMRP) associated with SCZ or in loss-of-function intolerant genes. In this study, the largest analysis of exonic variation in BD, individuals with BD do not carry a replicable enrichment of rare P-LP variants across the exome or in any of several groups of genes with biologic plausibility. Moreover, despite a strong shared susceptibility between BD and SCZ through common genetic variation, we do not observe an association between BD risk and rare P-LP coding variants in genes known to modulate risk for SCZ.

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Conflict of interest statement

XJ had no conflicts during the time he contributed to this study, and declares he is now an employee at Genentech. AEL and EAS had no conflicts during the time they contributed to this study, and declare they are now employees at Regeneron. ML declares that, over the past 36 months, he has received lecture honoraria from Lundbeck pharmaceutical. CL is a member of the Myriad Neuroscience R&D SAB. BN is a Deep Genomics-Member, Scientific Advisory Board; Camp4 Therapeutics Corporation-Consultant, Scientific Advisory Board; Takeda Pharmaceutical-Consultant; Biogen-Consultant, Genomics Analytics Advisory Panel. MO has a research grant from Takeda Pharmaceuticals. JS is an unpaid member of the Bipolar/Depression Research Community Advisory Panel of 23andMe.

Figures

Fig. 1
Fig. 1. P-LP variant distribution.
Minor allele counts for variants classified as P or LP from 9,309 individuals in the BSC cohort show that 81% of P-LP variants are singleton mutations. 38% of P-LP variants are not present in gnomAD. 44% of such variants are classified as P (predominantly splice site and nonsense variants), and 56% are classified as LP (predominantly missense variants). P pathogenic, LP likely pathogenic, S Splice site, N nonsense, M missense, ACMG American College of Medical Genetics, GnomAD Genome Aggregation Database.
Fig. 2
Fig. 2. P-LP variant burden in candidate BD- and SCZ-related gene sets.
Meta-analysis of Firth logistic regression of P-LP variants shows that BD cases in BSC cohorts appear to carry a higher burden of P-LP alleles in three BD GWAS-derived gene sets. Horizontal bars represent 95% confidence intervals. No enrichment of P-LP variants was observed in three schizophrenia GWAS-derived gene sets, in two neuron synaptic-related genesets (RBFOX2- and FMRP-related genes), in genes classified as LOF-intolerant, or in all genes across the exome. P values are one-sided for enrichment of P-PL variants in BD cases and derived from the meta-analysis Z-score. Numbers in parentheses represent the number of genes with P-LP variants and total number of genes within each gene set, respectively. BD bipolar disorder, OR odds ratio, P-LP pathogenic or likely pathogenic, GWAS genome-wide association study, LOF loss-of-function.
Fig. 3
Fig. 3. P-LP variant burden in BD GWAS gene sets within BSC discovery and BipEx replication cohorts.
Forest plots of log odds ratios (Firth logistic regressions) for association between P-LP variant burden and BD across seven cohorts/ethnicities in the BSC study (top) and across six strata in the BipEx replication cohort (bottom). p values are one-sided for enrichment of P-PL variants in BD cases and derived from the meta-analysis Z-score. Meta-analysis shows that individuals with BD do not carry a replicable enrichment of P-LP variants in 165 BD GWAS-derived genes, in 153 BD genes identified using MAGMA, or in 81 genes that overlap between the BD GWAS and BD MAGMA gene sets. Horizontal black lines indicate 95% confidence intervals around the effect size. Unshaded boxes indicate absence of P-LP variants within a specific cohort. Gray boxes indicate meta-analysis within the BSC (discovery) and BipEx (replication) cohorts, respectively, and black box indicates meta-analysis across all BSC and BipEx cohorts. Numbers in parentheses indicate the number of BD cases and controls. BSC Bipolar Sequencing Consortium, BipEx Bipolar Exomes collection, REP replication cohorts, META meta-analysis.

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