Synthesis in Nature human behaviour, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
8.8field-weighted citation impact, top 2% of its field
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
6 citing papers in PubMed, 16 citations in OpenAlex.
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
25 authors at 11 institutions in 6 countries.
Tzu-Ting Chen *Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan.ORCID 0000-0001-5669-9066
Jaeyoung Kim *Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.ORCID 0000-0001-6983-7907
Max LamAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0002-4256-7844
Yi-Fang ChuangInstitute of Public Health and International Health Program, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Yen-Ling ChiuGraduate Institute of Medicine, Yuan Ze University, Taoyuan City, Taiwan.
Shu-Chin LinCenter for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan.
Sang-Hyuk JungDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-4116-3327
Beomsu KimDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.
Soyeon KimAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0002-2798-2257
Chamlee ChoDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.ORCID 0009-0002-3155-1932
Injeong ShimDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.ORCID 0000-0002-1001-0945
Sanghyeon ParkDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.ORCID 0000-0002-9854-0085
Yeeun AhnDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea.ORCID 0000-0002-8584-5322
Aysu OkbayDepartment of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0002-5170-7781
Hyemin JangDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Hee Jin KimDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Sang Won SeoDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Woong-Yang ParkSamsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Tian GeStanley Center for Psychiatric Research, the Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Hailiang HuangAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0003-1461-5762
Yen-Chen Anne FengInstitute of Health Data Analytics and Statistics, College of Public Health, National Taiwan University, Taipei City, Taiwan.ORCID 0000-0003-2116-3645
Yen-Feng LinCenter for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan. yflin@nhri.edu.tw.ORCID 0000-0003-3017-6026
Woojae MyungDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea. wmyung@snu.ac.kr.ORCID 0000-0001-9985-2032
Hong-Hee WonDepartment of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea. wonhh@skku.edu.ORCID 0000-0001-5719-0552
Samsung Medical Center · KRBroad Institute · USNational Health Research Institutes · TWNational Yang Ming Chiao Tung University · TWBiogen (United States) · USFar Eastern Memorial Hospital · TWNational Taiwan University · TWNorthwell Health · USSeoul National University Bundang Hospital · KRUniversity of Pennsylvania · USVrije Universiteit Amsterdam · NL
Funding
Improving Methods and Practices for Trans-Ethnic Genetic StudiesR01HG012354 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI Tian Ge · 2023 to 2026
$2.2M
Korea Health Industry Development Institute (KHIDI) HU21C0111Korea Health Industry Development Institute (KHIDI) HU22C0042Ministry of Science and Technology, Taiwan (Ministry of Science and Technology of Taiwan) 106-2628-B-010-001-MY4Ministry of Science and Technology, Taiwan (Ministry of Science and Technology of Taiwan) 109-2314-B-400-017Ministry of Science and Technology, Taiwan (Ministry of Science and Technology of Taiwan) 110-2314-B-400-028-MY3Ministry of Science and Technology, Taiwan (Ministry of Science and Technology of Taiwan) 110-2314-B-A49A-524Ministry of Science and Technology, Taiwan (Ministry of Science and Technology of Taiwan) 110-2321-B-418-001Ministry of Science and Technology, Taiwan (Ministry of Science and Technology of Taiwan) 111-2314-B-002-299Ministry of Science and Technology, Taiwan (Ministry of Science and Technology of Taiwan) 112-2314-B-002-200-MY3National Health Research Institutes (NHRI) NP-110-PP-09National Health Research Institutes (NHRI) NP-111-PP-09National Health Research Institutes (NHRI) NP-112-PP-09National Research Foundation of Korea (NRF) NRF-2021R1A2C4001779National Research Foundation of Korea (NRF) NRF-2022R1A2C2009998NHGRI NIH HHS R01 HG012354
6 · The paper itself
Abstract
Educational attainment (EduYears), a heritable trait often used as a proxy for cognitive ability, is associated with various health and social outcomes. Previous genome-wide association studies (GWASs) on EduYears have been focused on samples of European (EUR) genetic ancestries. Here we present the first large-scale GWAS of EduYears in people of East Asian (EAS) ancestry (n = 176,400) and conduct a cross-ancestry meta-analysis with EduYears GWAS in people of EUR ancestry (n = 766,345). EduYears showed a high genetic correlation and power-adjusted transferability ratio between EAS and EUR. We also found similar functional enrichment, gene expression enrichment and cross-trait genetic correlations between two populations. Cross-ancestry fine-mapping identified refined credible sets with a higher posterior inclusion probability than single population fine-mapping. Polygenic prediction analysis in four independent EAS and EUR cohorts demonstrated transferability between populations. Our study supports the need for further research on diverse ancestries to increase our understanding of the genetic basis of educational attainment.
Indexed as
Academic SuccessEast Asian PeopleEducational StatusGenome-Wide Association StudyHumansMultifactorial InheritanceWhite People
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.
Shared genetic architectures of educational attainment in East Asian and European populations. · full record | OpenQuestion