Evidence map›Paper›PMID 42140902›Full record

ArticleNature communications2026

Genotype epigenome phenotype integration reveals peripheral immune contributions to type I bipolar disorder.

Lei Hou, Yue Li, Xushen Xiong, Yosuke Tanigawa, Yongjin Park, Samuel W Lenz, Amy Grayson, Jeong-Heon Lee, Euijung Ryu, Janet E Olson and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Lei HouComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA. leihou@bu.edu.ORCID http://orcid.org/0000-0003-0540-2706
Yue LiComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-3844-4865
Xushen XiongComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-7090-7503
Yosuke TanigawaComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-9759-157X
Yongjin ParkComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-8915-2876
Samuel W LenzCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Amy GraysonComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.
Jeong-Heon LeeCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0003-4007-9166
Euijung RyuDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Janet E OlsonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0003-4944-7789
Joanna M BiernackaDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0001-9350-4440
Mark A FryeDepartment of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0001-6997-4215
Tamas OrdogCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, USA. Ordog.Tamas@mayo.edu.ORCID http://orcid.org/0000-0002-3940-7284
Manolis KellisComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA. manoli@mit.edu.ORCID http://orcid.org/0000-0001-7113-9630

Funding

PILOT AND FEASIBILTY PROGRAMP30DK084567 · NIDDK · MAYO CLINIC ROCHESTER · PI Samar Ibrahim · 2009 to 2026
$22.2M
CALCIUM DYNAMICS IN INTERSTITIAL CELLS OF CAJALR01DK057061 · NIDDK · MAYO CLINIC ROCHESTER · PI GIANRICO FARRUGIA, Tamas Ordog · 2000 to 2026
$8.2M
Epigenomic, transcriptional and cellular dissection of Alzheimer's variantsR01AG058002 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HYMAN, BRADLEY T., JAENISCH, RUDOLF · 2017 to 2021
$7.9M
Network-based prediction and validation of causal schizophrenia genes and variantsR01MH109978 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI EGGAN, KEVIN C, KELLIS, MANOLIS · 2016 to 2020
$2.1M
Epigenetic dysregulation in diabetic enteric neuropathyR01DK126827 · NIDDK · MAYO CLINIC ROCHESTER · PI ORDOG, TAMAS · 2021 to 2024
$2.1M
Single Cell Transcriptional and Epigenomic Dissection of Schizophrenia and Bipoloar DiseaseU01MH119509 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS · 2019 to 2019
$625k
NIA NIH HHS R01 AG058002NIDDK NIH HHS P30 DK084567NIDDK NIH HHS R01 DK057061NIDDK NIH HHS R01 DK126827NIMH NIH HHS R01 MH109978NIMH NIH HHS U01 MH119509U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) DK057061U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) DK084567U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) DK126827U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH109978U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH119509U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) AG058002
6 · The paper itself

Abstract

Immune dysfunction has been increasingly implicated in bipolar disorder, but the underlying mechanisms remain unclear. To address this, we profile 833 genome-wide chromatin immunoprecipitation sequencing datasets spanning five histone marks in peripheral blood immune cells from 88 Type I bipolar disorder patients and 92 controls, integrating them with whole-genome sequencing and clinical data. We identify disease-associated cis-regulatory elements and genetically influenced regulatory elements, revealing immune signatures and pathways involving calcium signaling and endoplasmic reticulum transport. By integrating genetic risk variants, differential and genetically influenced regulatory elements, and regulatory element-gene links, we prioritize 39 driver genes, 28 of which are exclusively supported by blood evidence. We further stratify patients into five epigenomic subtypes with distinct clinical features and genetic risk profiles and identify compounds that reverse disease-associated epigenomic signatures. Here, we combine immune epigenomics with genetics and clinical traits to identify driver genes, patient subtypes, and therapeutic candidates, highlighting immune contributions to type I bipolar disorder pathogenesis.

Indexed as

Bipolar DisorderEpigenomeChromatin Immunoprecipitation SequencingEpigenesis, GeneticEpigenomicsGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansPhenotype

Identifiers

PMID42140902
PMCPMC13434788

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.