Evidence map›Paper›PMID 36991119›Full record

ArticleNature2023

An atlas of genetic scores to predict multi-omic traits.

Yu Xu, Scott C Ritchie, Yujian Liang, Paul R H J Timmers, Maik Pietzner, Loïc Lannelongue, Samuel A Lambert, Usman A Tahir, Sebastian May-Wilson, Carles Foguet and 27 more

Open access · hybridAbstract read
In one paragraph

Article in Nature, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 2 pooled it
18.5field-weighted citation impact, top 1% 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

96 citing papers in PubMed, 2 syntheses or guidelines pooled it, 120 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
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  5. Review
  6. Review
  7. Article
  8. Article
  9. OmicsPred as a centralised resource for genetic prediction of multi-omic traits.medRxiv : the preprint server for health sciences · 2026
    Article
  10. Review
  11. Article
  12. A trans-omics gene-smoking interaction study of lung cancer based on consortium data.American journal of respiratory and critical care medicine · 2026
    Article
  13. Article
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  15. Article
  16. Article
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36 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

37 authors at 17 institutions in 7 countries.

Yu XuCambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. yx322@medschl.cam.ac.uk.ORCID http://orcid.org/0000-0002-7304-5045
Scott C RitchieCambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-8454-9548
Yujian LiangSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Paul R H J TimmersCentre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-5197-1267
Maik PietznerMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK.ORCID http://orcid.org/0000-0003-3437-9963
Loïc LannelongueCambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-9135-1345
Samuel A LambertCambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-8222-008X
Usman A TahirDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Sebastian May-WilsonCentre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0003-2668-5717
Carles FoguetCambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-8494-9595
Åsa JohanssonDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-2915-4498
Praveen SurendranBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Artika P NathCambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Elodie PersynCambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-9104-1972
James E PetersDepartment of Immunology and Inflammation, Faculty of Medicine, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-9415-3440
Clare Oliver-WilliamsBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Shuliang DengDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Bram PrinsBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-5774-034X
Jian'an LuanMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK.ORCID http://orcid.org/0000-0003-3137-6337
Lorenzo BombaWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
Nicole SoranzoBritish Heart Foundation Centre of Research Excellence, School of Clinical Medicine, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-1095-3852
Emanuele Di AngelantonioBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Nicola PirastuCentre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK.
E Shyong TaiSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID http://orcid.org/0000-0003-2929-8966
Rob M van DamSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Helen ParkinsonEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK.
Emma E DavenportWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
Dirk S PaulBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-8230-0116
Christopher YauNuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-7615-8523
Robert E GersztenDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6767-7687
Anders MälarstigDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-2608-1358
John DaneshBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Xueling SimSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID http://orcid.org/0000-0002-1233-7642
Claudia LangenbergMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK.ORCID http://orcid.org/0000-0002-5017-7344
James F WilsonCentre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-5751-9178
Adam S ButterworthBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-6915-9015
Michael InouyeCambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. mi336@medschl.cam.ac.uk.ORCID http://orcid.org/0000-0001-9413-6520
University of Cambridge · GBNational University of Singapore · SGBeth Israel Deaconess Medical Center · USEuropean Bioinformatics Institute · GBQueen Mary University of London · GBUniversity of Edinburgh · GBWellcome Sanger Institute · GBBaker Heart and Diabetes Institute · AUBroad Institute · USHuman Technopole · ITImperial College London · GBInstitute of Genetics and Cancer · GBKarolinska Institutet · SEManchester Academic Health Science Centre · GBMilken Institute · USTuring Institute · GBUppsala University · SE

Funding

Studies of Rare Genetic Variation in the Isolated Population of SardiniaR01HL117626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2013 to 2016
$10.5M
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
Rare variants and NHLBI traits in deeply phenotyped cohortsU01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2017 to 2018
$5.6M
The Role of SECTM1 in Monocyte Biology and AtherosclerosisK08HL161445 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Usman A. Tahir · 2022 to 2026
$822k
Medical Research Council MC_UU_00006/1Medical Research Council MC_UU_00007/10Medical Research Council MC_UU_12015/1Medical Research Council MR/L003120/1MRF_ MRF-042-0001-RG-PETE-C0839NHLBI NIH HHS HHSN268201000021CNHLBI NIH HHS HHSN268201100037CNHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS HHSN268201800010INHLBI NIH HHS HHSN268201800011CNHLBI NIH HHS HHSN268201800011INHLBI NIH HHS HHSN268201800012CNHLBI NIH HHS HHSN268201800012INHLBI NIH HHS HHSN268201800014CNHLBI NIH HHS HHSN268201800014INHLBI NIH HHS HHSN268201800015INHLBI NIH HHS K08 HL161445NHLBI NIH HHS R01 HL117626NHLBI NIH HHS R01 HL120393NHLBI NIH HHS U01 HL120393NIMHD NIH HHS HHSN268201800013IWellcome Trust
6 · The paper itself

Abstract

The use of omic modalities to dissect the molecular underpinnings of common diseases and traits is becoming increasingly common. But multi-omic traits can be genetically predicted, which enables highly cost-effective and powerful analyses for studies that do not have multi-omics

Indexed as

Coronary Artery DiseaseMultiomicsAsianBlack or African AmericanCohort StudiesDatabases, FactualDatasets as TopicEuropean PeopleHumansInternetMachine LearningMetabolomeMetabolomicsPhenotypePlasmaProteomeProteome

Identifiers

PMID36991119
PMCPMC10323211
OpenAlexW4361199852

What OpenQuestion holds

Textmetadata
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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.