Evidence map›Paper›PMID 40229577›Full record

ArticleNature human behaviour2025

Polygenic overlap between subjective well-being and psychiatric disorders and cross-ancestry validation.

Jin Young Jung, Yeeun Ahn, Jung-Wook Park, Kyeongmin Jung, Soyeon Kim, Soohyun Lim, Sang-Hyuk Jung, Hyejin Kim, Beomsu Kim, Mi Yeong Hwang and 7 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature human behaviour, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

17 authors.

Jin Young JungDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.ORCID http://orcid.org/0000-0002-9231-1740
Yeeun AhnDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.ORCID http://orcid.org/0000-0002-8584-5322
Jung-Wook ParkDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.ORCID http://orcid.org/0009-0003-7882-3808
Kyeongmin JungDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.
Soyeon KimDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.ORCID http://orcid.org/0000-0002-2798-2257
Soohyun LimDepartment of Integrative Biotechnology, Sungkyunkwan University, Suwon, South Korea.
Sang-Hyuk JungDepartment of Medical Informatics, Kangwon National University College of Medicine, Chuncheon, South Korea.ORCID http://orcid.org/0000-0003-4116-3327
Hyejin KimDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.
Beomsu KimDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.ORCID http://orcid.org/0000-0001-7410-4273
Mi Yeong HwangDivision of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do, South Korea.ORCID http://orcid.org/0000-0002-8208-7925
Young Jin KimDivision of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Chungcheongbuk-do, South Korea.
Woong-Yang ParkSamsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Aysu OkbayDepartment of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0002-5170-7781
Kevin S O'ConnellNorwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0002-6865-8795
Ole A AndreassenNorwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0002-4461-3568
Woojae Myung *Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea. wmyung@snu.ac.kr.
Hong-Hee Won *Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea. wonhh@skku.edu.ORCID http://orcid.org/0000-0001-5719-0552

Funding

National Research Foundation of Korea (NRF) NRF-2021R1A2C4001779National Research Foundation of Korea (NRF) NRF-2022R1A2C2009998National Research Foundation of Korea (NRF) RS-2024-00335261
6 · The paper itself

Abstract

Subjective well-being (SWB) is important for understanding human behaviour and health. Although the connection between SWB and psychiatric disorders has been studied, common genetic mechanisms remain unclear. This study aimed to explore the genetic relationship between SWB and psychiatric disorders. Bivariate causal mixture modelling (MiXeR), polygenic risk score (PRS) and Mendelian randomization (MR) analyses showed substantial polygenic overlap and associations between SWB and the psychiatric disorders. Subsequent replication studies in East Asian populations confirmed the polygenic overlap between schizophrenia and SWB. The conditional and conjunctional false discovery rate analyses identified additional or shared genetic loci associated with SWB or psychiatric disorders. Functional annotation revealed enrichment of specific brain tissues and genes associated with SWB. The identified genetic loci showed cross-ancestry transferability between the European and Korean populations. Our findings provide valuable insights into the common genetic mechanisms underlying SWB and psychiatric disorders.

Indexed as

Mental DisordersMultifactorial InheritancePsychological Well-BeingSchizophreniaAdultEast Asian PeopleFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisWhite People

Identifiers

PMID40229577

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.