Evidence map›Paper›PMID 30673084›Full record

ArticleJAMA cardiology2019

Assessment of the Relationship Between Genetic Determinants of Thyroid Function and Atrial Fibrillation: A Mendelian Randomization Study.

Christina Ellervik, Carolina Roselli, Ingrid E Christophersen, Alvaro Alonso, Maik Pietzner, Collen M Sitlani, Stella Trompet, Dan E Arking, Bastiaan Geelhoed, Xiuqing Guo and 36 more

Open access · greenAbstract read
In one paragraph

Article in JAMA cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 6 pooled it
8.6field-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

65 citing papers in PubMed, 6 syntheses or guidelines pooled it, 111 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Guideline
  4. Pooled it
  5. Thyroid Function and Dysfunction in Relation to 16 Cardiovascular Diseases.Circulation. Genomic and precision medicine · 2019
    Pooled it
  6. Pooled it
  7. Article
  8. Approach to the patient with severe hyperthyroidism-related complications.The Journal of clinical endocrinology and metabolism · 2026
    Review
  9. Review
  10. Article
  11. Article
  12. Genetics of Thyroid Function: Relevance for Biology and Disease Management.The Journal of clinical endocrinology and metabolism · 2025
    Review
  13. Association of C₂HEST Score and New-Onset Atrial Fibrillation in Patients with Non-ST-Segment Elevation Myocardial Infarction.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  14. Article
  15. Article
  16. Article
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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

46 authors at 20 institutions in 7 countries.

Christina EllervikDepartment of Laboratory Medicine, Boston Children's Hospital, Boston, Massachusetts.
Carolina RoselliProgram in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Ingrid E ChristophersenDepartment of Medical Genetics, Oslo University Hospital, Oslo, Norway.
Alvaro AlonsoDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Maik PietznerInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Collen M SitlaniCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle.
Stella TrompetDepartment of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.
Dan E ArkingMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Bastiaan GeelhoedUniversity Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Xiuqing GuoDivision of Genomic Outcomes, Institute for Translational Genomics and Population Sciences, Torrance, California.
Marcus E KleberVth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Mannheim, Germany.
Henry J LinDivision of Genomic Outcomes, Institute for Translational Genomics and Population Sciences, Torrance, California.
Honghuang LinDepartment of Medicine, Boston University School of Medicine, Boston, Massachusetts.
Peter MacFarlaneInstitute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Elizabeth SelvinDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Christian ShafferDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Albert V SmithSchool of Public Health, Department of Biostatistics, University of Michigan, Ann Arbor.
Niek VerweijUniversity Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Stefan WeissDZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany.
Anne R CappolaSmilow Center for Translational Research, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Marcus DörrDZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany.
Vilmundur GudnasonIcelandic Heart Association, Kopavogur, Iceland.
Susan HeckbertDepartment of Epidemiology, University of Washington, Seattle.
Simon MooijaartSection of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands.
Winfried MärzVth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Mannheim, Germany.
Bruce M PsatyCardiovascular Health Research Unit, Department of Medicine, Epidemiology, and Health Services, University of Washington, Seattle.
Paul M RidkerHarvard Medical School, Boston, Massachusetts.
Dan RodenDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
David J StottInstitute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Henry VölzkeDZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany.
Emelia J BenjaminDepartment of Medicine, Boston University School of Medicine, Boston, Massachusetts.
Graciela DelgadoVth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Mannheim, Germany.
Patrick EllinorHarvard Medical School, Boston, Massachusetts.
Georg HomuthUniversity Medicine Greifswald, Interfaculty Institute for Genetics and Functional Genomics, Greifswald, Germany.
Anna KöttgenDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Johan W JukemaDepartment of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.
Steven A LubitzCardiovascular Research Center, Cardiac Arrhythmia Service, Massachusetts General Hospital, Boston.
Samia MoraHarvard Medical School, Boston, Massachusetts.
Michiel RienstraUniversity Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Jerome I RotterDivision of Genomic Outcomes, Institute for Translational Genomics and Population Sciences, Torrance, California.
M Benjamin ShoemakerDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Nona SotoodehniaCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle.
Kent D TaylorDivision of Genomic Outcomes, Institute for Translational Genomics and Population Sciences, Torrance, California.
Pim van der HarstUniversity Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Christine M AlbertHarvard Medical School, Boston, Massachusetts.
Daniel I ChasmanHarvard Medical School, Boston, Massachusetts.
University of Washington · USGerman Centre for Cardiovascular Research · DEVanderbilt University Medical Center · USBrigham and Women's Hospital · USFramingham Heart Study · USHarvard University · USJohns Hopkins University · USLeiden University Medical Center · NLMassachusetts General Hospital · USUniversitätsmedizin Greifswald · DEUniversity Medical Center Groningen · NLUniversity of California, Los Angeles · USUniversity of Glasgow · GBUniversity of Groningen · NLBoston Children's Hospital · USBroad Institute · USEmory University · USHeidelberg University · DEIcelandic Heart Association · ISLos Angeles Medical Center · US

Funding

CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
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
Diabetes and Prediabetes in Older Adults in ARICR01DK089174 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2011 to 2020
$6.4M
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 VITAL Rhythm StudyR01HL116690 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI ALBERT, CHRISTINE M · 2013 to 2020
$3.5M
Reducing Inflammation for the Prevention of CVD: A Focus on Eicosanoid PathwaysR01HL134811 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MORA, SAMIA · 2017 to 2020
$3.0M
Circulating plasma metabolites, diet, and risk of type 2 diabetesR01DK112940 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, FRANK B, MORA, SAMIA · 2018 to 2021
$2.9M
Patient Centered Approaches to Preventing ASCVD EventsK24HL136852 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SAMIA MORA · 2018 to 2026
$1.1M
American Heart Association-American Stroke Association 16EIA26410001NHLBI NIH HHS K24 HL136852NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL116690NHLBI NIH HHS R01 HL120393NHLBI NIH HHS R01 HL134811NHLBI NIH HHS U01 HL120393NIDDK NIH HHS R01 DK089174NIDDK NIH HHS R01 DK112940
6 · The paper itself

Abstract

Importance: Increased free thyroxine (FT4) and decreased thyrotropin are associated with increased risk of atrial fibrillation (AF) in observational studies, but direct involvement is unclear. Objective: To evaluate the potential direct involvement of thyroid traits on AF. Design, Setting, and Participants: Study-level mendelian randomization (MR) included 11 studies, and summary-level MR included 55 114 AF cases and 482 295 referents, all of European ancestry. Exposures: Genomewide significant variants were used as instruments for standardized FT4 and thyrotropin levels within the reference range, standardized triiodothyronine (FT3):FT4 ratio, hypothyroidism, standardized thyroid peroxidase antibody levels, and hyperthyroidism. Mendelian randomization used genetic risk scores in study-level analysis or individual single-nucleotide polymorphisms in 2-sample MR for the summary-level data. Main Outcomes and Measures: Prevalent and incident AF. Results: The study-level analysis included 7679 individuals with AF and 49 233 referents (mean age [standard error], 62 [3] years; 15 859 men [29.7%]). In study-level random-effects meta-analysis, the pooled hazard ratio of FT4 levels (nanograms per deciliter) for incident AF was 1.55 (95% CI, 1.09-2.20; P = .02; I2 = 76%) and the pooled odds ratio (OR) for prevalent AF was 2.80 (95% CI, 1.41-5.54; P = .003; I2 = 64%) in multivariable-adjusted analyses. The FT4 genetic risk score was associated with an increase in FT4 by 0.082 SD (standard error, 0.007; P < .001) but not with incident AF (risk ratio, 0.84; 95% CI, 0.62-1.14; P = .27) or prevalent AF (OR, 1.32; 95% CI, 0.64-2.73; P = .46). Similarly, in summary-level inverse-variance weighted random-effects MR, gene-based FT4 within the reference range was not associated with AF (OR, 1.01; 95% CI, 0.89-1.14; P = .88). However, gene-based increased FT3:FT4 ratio, increased thyrotropin within the reference range, and hypothyroidism were associated with AF with inverse-variance weighted random-effects OR of 1.33 (95% CI, 1.08-1.63; P = .006), 0.88 (95% CI, 0.84-0.92; P < .001), and 0.94 (95% CI, 0.90-0.99; P = .009), respectively, and robust to tests of horizontal pleiotropy. However, the subset of hypothyroidism single-nucleotide polymorphisms involved in autoimmunity and thyroid peroxidase antibodies levels were not associated with AF. Gene-based hyperthyroidism was associated with AF with MR-Egger OR of 1.31 (95% CI, 1.05-1.63; P = .02) with evidence of horizontal pleiotropy (P = .045). Conclusions and Relevance: Genetically increased FT3:FT4 ratio and hyperthyroidism, but not FT4 within the reference range, were associated with increased AF, and increased thyrotropin within the reference range and hypothyroidism were associated with decreased AF, supporting a pathway involving the pituitary-thyroid-cardiac axis.

Indexed as

AgedAtrial FibrillationFemaleGenome-Wide Association StudyHumansHyperthyroidismHypothyroidismIodide PeroxidaseMaleMendelian Randomization AnalysisMiddle AgedPolymorphism, Single NucleotideRisk FactorsThyroid Function TestsThyroid GlandThyrotropinIodide PeroxidaseThyrotropinThyroxineTriiodothyronine

Identifiers

PMID30673084
PMCPMC6396813
OpenAlexW2912012956

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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.