Evidence map›Paper›PMID 33462484›Full record

ArticleNature genetics2021

Genetics of 35 blood and urine biomarkers in the UK Biobank.

Nasa Sinnott-Armstrong, Yosuke Tanigawa, David Amar, Nina Mars, Christian Benner, Matthew Aguirre, Guhan Ram Venkataraman, Michael Wainberg, Hanna M Ollila, Tuomo Kiiskinen and 14 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Nature genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 498 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
498citing papers in PubMed, 10 pooled it
101.5field-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

498 citing papers in PubMed, 10 syntheses or guidelines pooled it, 764 citations in OpenAlex.

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438 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors at 6 institutions in 2 countries.

Nasa Sinnott-Armstrong *Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA. nasa@stanford.edu.ORCID http://orcid.org/0000-0003-4490-0601
Yosuke Tanigawa *Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, USA. ytanigaw@stanford.edu.ORCID http://orcid.org/0000-0001-9759-157X
David AmarDepartment of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-9719-0837
Nina MarsInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-7259-5993
Christian BennerInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland.
Matthew AguirreDepartment of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, USA.
Guhan Ram VenkataramanDepartment of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, USA.
Michael WainbergDepartment of Computer Science, Stanford University, Stanford, CA, USA.
Hanna M OllilaInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland.
Tuomo KiiskinenInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-6306-8227
Aki S HavulinnaInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland.
James P PirruccelloMassachusetts General Hospital Division of Cardiology, Boston, MA, USA.ORCID http://orcid.org/0000-0001-6088-4037
Junyang QianDepartment of Statistics, Stanford University, Stanford, CA, USA.
Anna ShcherbinaInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland.
FinnGen
Fatima RodriguezDivision of Cardiovascular Medicine and the Cardiovascular Institute, School of Medicine, Stanford University, Stanford, CA, USA.
Themistocles L AssimesVA Palo Alto Health Care System, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0003-2349-0009
Vineeta AgarwalaDivision of Cardiovascular Medicine and the Cardiovascular Institute, School of Medicine, Stanford University, Stanford, CA, USA.
Robert TibshiraniDepartment of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, USA.
Trevor HastieDepartment of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, USA.
Samuli RipattiInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-0504-1202
Jonathan K PritchardDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-8828-5236
Mark J DalyInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, Finland.
Manuel A Rivas *Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, USA. mrivas@stanford.edu.ORCID http://orcid.org/0000-0003-1457-9925
University of Helsinki · FIStanford University · USBroad Institute · USCardiovascular Institute of the South · USVA Palo Alto Health Care System · USStanford Medicine · US

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Ramnik J Xavier · 1991 to 2026
$35.3M
POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · NLM · STANFORD UNIVERSITY · PI SYLVIA KATINA PLEVRITIS · 1985 to 2026
$25.5M
Integration of genetic association mapping and functional data to elucidate genetic mechanisms of diseaseR01HG008140 · NHGRI · STANFORD UNIVERSITY · PI JONATHAN K PRITCHARD · 2016 to 2026
$7.3M
New Statistical Methods for Medical Signals and ImagesR01EB001988 · NIBIB · STANFORD UNIVERSITY · PI JOHNSTONE, IAIN M · 2003 to 2018
$6.1M
Optimizing imputation for diverse populations in a distributed frameworkU01HG009080 · NHGRI · STANFORD UNIVERSITY · PI KENNY, EIMEAR ELIZABETH · 2016 to 2020
$5.2M
Stanford Medicine Center for Longevity and Healthy Aging Research Education CoreP30AG059307 · NIA · STANFORD UNIVERSITY · PI PERIYAKOIL, VYJEYANTHI S, YESAVAGE, JEROME A · 2018 to 2025
$4.9M
New Statistical Methods for Medical Signals and ImagesR01GM134483 · NIGMS · STANFORD UNIVERSITY · PI Iain M Johnstone · 2019 to 2026
$3.9M
SOFTWARE FOR LARGE-SCALE INFERENCE OF THE GENETICS OF LIFESTYLE MEASURES, BIOMARKERS, AND COMMON AND RARE DISEASESR01HG010140 · NHGRI · STANFORD UNIVERSITY · PI KUNDAJE, ANSHUL, MONTGOMERY, STEPHEN · 2018 to 2022
$2.0M
SURPASS: (Statin Use and Risk Prediction of Atherosclerotic Cardiovascular Disease in minority Subgroups)K01HL144607 · NHLBI · STANFORD UNIVERSITY · PI RODRIGUEZ, FATIMA · 2019 to 2023
$856k
NHGRI NIH HHS R01 HG008140NHGRI NIH HHS R01 HG010140NHGRI NIH HHS U01 HG009080NHLBI NIH HHS K01 HL144607NIBIB NIH HHS R01 EB001988NIDDK NIH HHS P30 DK043351NIGMS NIH HHS R01 GM134483NLM NIH HHS T15 LM007033
6 · The paper itself

Abstract

Clinical laboratory tests are a critical component of the continuum of care. We evaluate the genetic basis of 35 blood and urine laboratory measurements in the UK Biobank (n = 363,228 individuals). We identify 1,857 loci associated with at least one trait, containing 3,374 fine-mapped associations and additional sets of large-effect (>0.1 s.d.) protein-altering, human leukocyte antigen (HLA) and copy number variant (CNV) associations. Through Mendelian randomization (MR) analysis, we discover 51 causal relationships, including previously known agonistic effects of urate on gout and cystatin C on stroke. Finally, we develop polygenic risk scores (PRSs) for each biomarker and build 'multi-PRS' models for diseases using 35 PRSs simultaneously, which improved chronic kidney disease, type 2 diabetes, gout and alcoholic cirrhosis genetic risk stratification in an independent dataset (FinnGen; n = 135,500) relative to single-disease PRSs. Together, our results delineate the genetic basis of biomarkers and their causal influences on diseases and improve genetic risk stratification for common diseases.

Indexed as

Biological Specimen BanksBiomarkersCardiovascular DiseasesDiabetes Mellitus, Type 2DNA Copy Number VariationsGenetic PleiotropyHLA AntigensHumansLinkage DisequilibriumLiver-Specific Organic Anion Transporter 1Mendelian Randomization AnalysisPolymorphism, Single NucleotideProteinsRenal Insufficiency, ChronicSerine EndopeptidasesUnited KingdomBiomarkersHGF activatorHLA AntigensLiver-Specific Organic Anion Transporter 1ProteinsSerine EndopeptidasesSLCO1B1 protein, human

Identifiers

PMID33462484
PMCPMC7867639
OpenAlexW3121239749

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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.