CoChat
Sign Up
Cited by 352Epigenetics and DNA MethylationSchizophrenia research and treatmentGenetic Associations and Epidemiology

The DOI matches its Crossref record; 65 of the 66 references it cites were found in a registry or an index.

An integrated genetic-epigenetic analysis of schizophrenia: evidence for co-localization of genetic associations and differential DNA methylation

Open access
Hannon, Eilis, Dempster, Emma, Viana, Joana, Burrage, Joe, Smith, Adam R., Macdonald, Ruby, St Clair, David, Mustard, Colette, Breen, Gerome, Therman, Sebastian, Kaprio, Jaakko, Toulopoulou, Timothea, Pol, Hilleke E. Hulshoff, Bohlken, Marc M., Kahn, Rene S., Nenadic, Igor, Hultman, Christina M., Murray, Robin M., Collier, David A., Bass, Nick, Gurling, Hugh, McQuillin, Andrew, Schalkwyk, Leonard, Mill, Jonathan·2016·Genome Biology
DOI 10.1186/s13059-016-1041-xPMC PMC5004279
Open this paper in CoChat — free accountOpen PDF

Abstract

BACKGROUND: Schizophrenia is a highly heritable, neuropsychiatric disorder characterized by episodic psychosis and altered cognitive function. Despite success in identifying genetic variants associated with schizophrenia, there remains uncertainty about the causal genes involved in disease pathogenesis and how their function is regulated. RESULTS: We performed a multi-stage epigenome-wide association study, quantifying genome-wide patterns of DNA methylation in a total of 1714 individuals from three independent sample cohorts. We have identified multiple differentially methylated positions and regions consistently associated with schizophrenia across the three cohorts; these effects are independent of important confounders such as smoking. We also show that epigenetic variation at multiple loci across the genome contributes to the polygenic nature of schizophrenia. Finally, we show how DNA methylation quantitative trait loci in combination with Bayesian co-localization analyses can be used to annotate extended genomic regions nominated by studies of schizophrenia, and to identify potential regulatory variation causally involved in disease. CONCLUSIONS: This study represents the first systematic integrated analysis of genetic and epigenetic variation in schizophrenia, introducing a methodological approach that can be used to inform epigenome-wide association study analyses of other complex traits and diseases. We demonstrate the utility of using a polygenic risk score to identify molecular variation associated with etiological variation, and of using DNA methylation quantitative trait loci to refine the functional and regulatory variation associated with schizophrenia risk variants. Finally, we present strong evidence for the co-localization of genetic associations for schizophrenia and differential DNA methylation.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s13059-016-1041-x

Cites

65 of 65 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig. 1 It is critical to control for smoking in an epigenome-wide association study (EWAS) of schizophrenia. Manhattan plots comparing association P-values (y-axis, −log10 scale) against genomic location (x-axis) for (a) an EWAS of schizophrenia case–control status without inclusion of a smoking covariate, (b) a published EWAS of tobacco smoking (never versus current) [22], and (c) an EWAS of schizophrenia case–control status including a DNA methylation-derived smoking score as a covariate. There is considerable overlap between the associated loci in panels a and b (e.g., on chromosomes 2, 5, 6, and 19), implying that the elevated rate and intensity of smoking in patients with schizophrenia [25–27] is a severe confounder in this analysis. In contrast, there is no overlap in the associated loci shown in panels b and c, suggesting that the derived smoking score effectively removes these false positives
Fig. 1 It is critical to control for smoking in an epigenome-wide association study (EWAS) of schizophrenia. Manhattan plots comparing association P-values (y-axis, −log10 scale) against genomic location (x-axis) for (a) an EWAS of schizophrenia case–control status without inclusion of a smoking covariate, (b) a published EWAS of tobacco smoking (never versus current) [22], and (c) an EWAS of schizophrenia case–control status including a DNA methylation-derived smoking score as a covariate. There is considerable overlap between the associated loci in panels a and b (e.g., on chromosomes 2, 5, 6, and 19), implying that the elevated rate and intensity of smoking in patients with schizophrenia [25–27] is a severe confounder in this analysis. In contrast, there is no overlap in the associated loci shown in panels b and c, suggesting that the derived smoking score effectively removes these false positivesCC BY · PubMed Central
Fig. 2 Replication of schizophrenia-associated DNA methylation differences identified in the phase 1 analysis in two independent cohorts. Shown are scatterplots demonstrating the concordance in effect size [schizophrenia-associated DNA methylation difference (%)] between the phase 1 (case–control) cohort (n = 675) (x-axis) and either the (a) phase 2 (case–control) cohort (n = 847) or (b) phase 3 (n = 96 monozygotic twin pairs) cohort for probes associated with schizophrenia at both the experiment-wide (P < 1 × 10−7; red circles) and discovery (P < 5 × 10−5; blue triangles) P-value thresholds. Many of these individual DNA methylation sites are significantly associated with schizophrenia in the replication cohorts (Table 1 and Additional file 2: Table S3). Meta-analyses across the three independent cohorts identified many additional sites significantly associated with schizophrenia at P < 1 × 10−7. (c) A forest plot of the top ranked probe from the meta-analysis (cg02488934), with the effect size and standard error (SE) from each individual cohort and the pooled effect from the meta-analysis. CI confidence interval
Fig. 2 Replication of schizophrenia-associated DNA methylation differences identified in the phase 1 analysis in two independent cohorts. Shown are scatterplots demonstrating the concordance in effect size [schizophrenia-associated DNA methylation difference (%)] between the phase 1 (case–control) cohort (n = 675) (x-axis) and either the (a) phase 2 (case–control) cohort (n = 847) or (b) phase 3 (n = 96 monozygotic twin pairs) cohort for probes associated with schizophrenia at both the experiment-wide (P < 1 × 10−7; red circles) and discovery (P < 5 × 10−5; blue triangles) P-value thresholds. Many of these individual DNA methylation sites are significantly associated with schizophrenia in the replication cohorts (Table 1 and Additional file 2: Table S3). Meta-analyses across the three independent cohorts identified many additional sites significantly associated with schizophrenia at P < 1 × 10−7. (c) A forest plot of the top ranked probe from the meta-analysis (cg02488934), with the effect size and standard error (SE) from each individual cohort and the pooled effect from the meta-analysis. CI confidence intervalCC BY · PubMed Central
Fig. 3 There is minimal overlap between significant schizophrenia-associated differentially methylated positions and those associated with the schizophrenia polygenic risk score (PRS). Shown is a scatterplot comparing probe-wise significance in the epigenome-wide association study (EWAS) of schizophrenia case status (x-axis) and PRS (y-axis). Data are presented for probes identified as significant (P < 5 × 10−5) in the schizophrenia EWAS (red circles), PRS EWAS (blue triangles), or both (green diamonds)
Fig. 3 There is minimal overlap between significant schizophrenia-associated differentially methylated positions and those associated with the schizophrenia polygenic risk score (PRS). Shown is a scatterplot comparing probe-wise significance in the epigenome-wide association study (EWAS) of schizophrenia case status (x-axis) and PRS (y-axis). Data are presented for probes identified as significant (P < 5 × 10−5) in the schizophrenia EWAS (red circles), PRS EWAS (blue triangles), or both (green diamonds)CC BY · PubMed Central
Fig. 4 Evidence for schizophrenia-associated differential DNA methylation within genome-wide association study (GWAS)-nominated genomic regions. A Manhattan plot of an example genomic region (chr10:104423800-105165583) identified in the recent GWAS of schizophrenia [2] illustrates the location (x-axis) of genetic variants and Illumina 450 K probes against their significance with schizophrenia (y-axis; −log10 P value). Gene locations (exons and introns) are depicted above the Manhattan plot. Red diamonds depict GWAS results, green circles depict results from our phase 1 schizophrenia EWAS, and blue triangles depict results from our schizophrenia polygenic risk score EWAS
Fig. 4 Evidence for schizophrenia-associated differential DNA methylation within genome-wide association study (GWAS)-nominated genomic regions. A Manhattan plot of an example genomic region (chr10:104423800-105165583) identified in the recent GWAS of schizophrenia [2] illustrates the location (x-axis) of genetic variants and Illumina 450 K probes against their significance with schizophrenia (y-axis; −log10 P value). Gene locations (exons and introns) are depicted above the Manhattan plot. Red diamonds depict GWAS results, green circles depict results from our phase 1 schizophrenia EWAS, and blue triangles depict results from our schizophrenia polygenic risk score EWASCC BY · PubMed Central
Fig. 5 Co-localization of genome-wide association study (GWAS) signals associated with both schizophrenia and DNA methylation in blood and brain. Manhattan plots illustrate the location of genetic variants (x-axis) and their significance (y-axis; −log10 scale) in GWAS of schizophrenia (a), and DNA methylation at cg24592962 in blood (b) and brain (c). The solid red line indicates the location of the DNA methylation site (cg24592962). Comparing the pattern of these results for the mQTL and schizophrenia is supportive of the same causal variant being associated with both. Other examples are presented in Additional file 4
Fig. 5 Co-localization of genome-wide association study (GWAS) signals associated with both schizophrenia and DNA methylation in blood and brain. Manhattan plots illustrate the location of genetic variants (x-axis) and their significance (y-axis; −log10 scale) in GWAS of schizophrenia (a), and DNA methylation at cg24592962 in blood (b) and brain (c). The solid red line indicates the location of the DNA methylation site (cg24592962). Comparing the pattern of these results for the mQTL and schizophrenia is supportive of the same causal variant being associated with both. Other examples are presented in Additional file 4CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 66 references

Cited by

Sorted by citations

See all 352

Related

Metadata

Authors
Hannon, E., Dempster, E., Viana, J., Burrage, J., Smith, A. R., Macdonald, R., St Clair, D., Mustard, C., Breen, G., Therman, S., Kaprio, J., Toulopoulou, T., Pol, H. E. H., Bohlken, M. M., Kahn, R. S., Nenadic, I., Hultman, C. M., Murray, R. M., Collier, D. A., Bass, N., Gurling, H., McQuillin, A., Schalkwyk, L., & Mill, J.
Affiliations
  • University of Exeter (GB)
  • University of the Highlands and Islands (GB)
  • King's College London (GB)
  • Finnish Institute for Health and Welfare (FI)
  • University of Helsinki (FI)
  • University of Hong Kong (HK)
  • University Medical Center Utrecht (NL)
  • Karolinska Institutet (SE)
  • University College London (GB)
  • University of Essex (GB)
Corresponding author
Mill, Jonathan
ORCID
Venue
Genome Biology
Publisher
Springer Science and Business Media LLC
Published
2016-08-30
Volume
17
Issue
1
Pages
176-176
ISSN
  • 1465-6906 (ISSN-L)
  • 1474-760X
DOI
10.1186/s13059-016-1041-x
PMC
PMC5004279
OpenAlex
W2510420694
Cited by
349
References
66
Citations by year
2026: 8 · 2025: 29 · 2024: 39 · 2023: 32 · 2022: 40 · 2021: 54 · 2020: 39 · 2019: 37 · 2018: 45 · 2017: 21 · 2016: 3
FWCI
18.54
Type
journal article
Language
en
Open access
Licence
Locations
  • Genome biology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Open Access at Essex (University of Essex) (acceptedVersion)
  • Minerva Access (University of Melbourne) (submittedVersion, cc-by)
  • Research Portal (King's College London) (submittedVersion, cc-by)
  • Aberdeen University Research Archive (Aberdeen University) (submittedVersion)
  • Työväentutkimus Vuosikirja (submittedVersion, other-oa)
  • Open Research Exeter (University of Exeter) (submittedVersion, cc-by)
  • Royal Devon and Exeter Research Repository (Royal Devon and Exeter) (submittedVersion)
  • Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
Funders
  • Medical Research Council (MR/K013807/1)
  • National Institutes of Health (R01 AG036039, R01 MH52857)
  • Suomen Akatemia (213506, 129680, 265240, 263278)
  • Karolinska Institutet (ALF 20090183, ALF 20100305)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
Keywords
schizophrenia, DNA methylation, epigenome-wide association study, differentially methylated regions, DNA methylation quantitative trait loci, polygenic risk score, genetic risk variants, gene expression regulation
MeSH terms
Bayes Theorem, Humans, Phenotype, Schizophrenia, Twins, Monozygotic, CpG Islands, DNA Methylation, Multifactorial Inheritance, Quantitative Trait Loci, Genome-Wide Association Study, Epigenomics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review