Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 147

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Premature Menopause, Clonal Hematopoiesis, and Coronary Artery Disease in Postmenopausal Women

Honigberg, Michael C., Zekavat, Seyedeh M., Niroula, Abhishek, Griffin, Gabriel K., Bick, Alexander G., Pirruccello, James P., Nakao, Tetsushi, Whitsel, Eric A., Farland, Leslie V., Laurie, Cecelia, Kooperberg, Charles, Manson, JoAnn E., Gabriel, Stacey, Libby, Peter, Reiner, Alexander P., Ebert, Benjamin L., NHLBI Trans-Omics for Precision Medicine Program, Natarajan, Pradeep·2021·Circulation

Abstract

Background: Premature menopause is an independent risk factor for cardiovascular disease in women, but mechanisms underlying this association remain unclear. Clonal hematopoiesis of indeterminate potential (CHIP), the age-related expansion of hematopoietic cells with leukemogenic mutations without detectable malignancy, is associated with accelerated atherosclerosis. Whether premature menopause is associated with CHIP is unknown. Methods: We included postmenopausal women from the UK Biobank (n=11 495) aged 40 to 70 years with whole exome sequences and from the Women’s Health Initiative (n=8111) aged 50 to 79 years with whole genome sequences. Premature menopause was defined as natural or surgical menopause occurring before age 40 years. Co–primary outcomes were the presence of any CHIP and CHIP with variant allele frequency >0.1. Logistic regression tested the association of premature menopause with CHIP, adjusted for age, race, the first 10 principal components of ancestry, smoking, diabetes, and hormone therapy use. Secondary analyses considered natural versus surgical premature menopause and gene-specific CHIP subtypes. Multivariable-adjusted Cox models tested the association between CHIP and incident coronary artery disease. Results: The sample included 19 606 women, including 418 (2.1%) with natural premature menopause and 887 (4.5%) with surgical premature menopause. Across cohorts, CHIP prevalence in postmenopausal women with versus without a history of premature menopause was 8.8% versus 5.5% ( P <0.001), respectively. After multivariable adjustment, premature menopause was independently associated with CHIP (all CHIP: odds ratio, 1.36 [95% 1.10–1.68]; P =0.004; CHIP with variant allele frequency >0.1: odds ratio, 1.40 [95% CI, 1.10–1.79]; P =0.007). Associations were larger for natural premature menopause (all CHIP: odds ratio, 1.73 [95% CI, 1.23–2.44]; P =0.001; CHIP with variant allele frequency >0.1: odds ratio, 1.91 [95% CI, 1.30–2.80]; P <0.001) but smaller and nonsignificant for surgical premature menopause. In gene-specific analyses, only DNMT3A CHIP was significantly associated with premature menopause. Among postmenopausal middle-aged women, CHIP was independently associated with incident coronary artery disease (hazard ratio associated with all CHIP: 1.36 [95% CI, 1.07–1.73]; P =0.012; hazard ratio associated with CHIP with variant allele frequency >0.1: 1.48 [95% CI, 1.13–1.94]; P =0.005). Conclusions: Premature menopause, especially natural premature menopause, is independently associated with CHIP among postmenopausal women. Natural premature menopause may serve as a risk signal for predilection to develop CHIP and CHIP-associated cardiovascular disease.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1161/circulationaha.120.051775

Cites

15 of 15 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 47

  1. 10.1161/CIR.0000000000000757 · DOI · Paper page
  2. 10.1016/j.ogc.2011.05.005 · DOI
  3. 10.1007/s10654-018-0367-y · DOI
  4. 10.1097/GME.0000000000000319 · DOI
  5. 10.1073/pnas.1604558113 · DOI
  6. 10.1111/jgs.16257 · DOI
  7. 10.1016/S2468-2667(19)30155-0 · DOI
  8. 10.1001/jama.2019.19191 · DOI
  9. 10.1097/gme.0b013e3182517bd0 · DOI
  10. 10.1161/JAHA.117.006713 · DOI
  11. 10.1161/CIR.0000000000000625 · DOI · Paper page
  12. 10.1161/CIR.0000000000000678 · DOI · Paper page
  13. 10.1038/ng.3412 · DOI · Paper page
  14. 10.1182/blood-2015-03-631747 · DOI · Paper page
  15. 10.1016/j.jacc.2019.05.045 · DOI
  16. 10.1038/nm.3733 · DOI · Paper page
  17. 10.1161/CIRCULATIONAHA.119.044362 · DOI · Paper page
  18. 10.1016/s1047-2797(03)00045-0 · DOI
  19. 10.1101/563866 · DOI
  20. Van Hout, CV, Tachmazidou, I, Backman, JD, Hoffman, JX, Ye, B, Pandey, AK, Gonzaga-Jauregui, C, Khalid, S, Liu, D, Banerjee, N, et al. Whole exome sequencing and characterization of coding variation in 49,960 individuals in the UK Biobank. bioRxiv. Preprint posted online March 6, 2019. doi: https://doi.org/10.1101/572347 · DOI · Paper page
  21. Benjamin, D, Sato, T, Cibulskis, K, Getz, G, Stewart, C, Lichtenstein, L. Calling somatic SNVs and indels with Mutect2. bioRxiv. Preprint posted online December 2, 2019. doi: https://doi.org/10.1101/861054 · DOI
  22. 10.1038/s41586-018-0321-x · DOI · Paper page
  23. 10.1038/s41586-020-2430-6 · DOI · Paper page
  24. 10.1038/ng.3914 · DOI
  25. 10.1007/s12561-013-9080-2 · DOI
  26. 10.1038/s41467-019-11037-8 · DOI · Paper page
  27. 10.1038/s41586-020-1943-3 · DOI · Paper page
  28. 10.1016/j.stem.2017.07.010 · DOI · Paper page
  29. 10.1016/S2352-3026(19)30211-X · DOI · Paper page
  30. 10.1001/jamacardio.2020.1271 · DOI
  31. 10.1097/GME.0000000000001362 · DOI
  32. 10.1089/scd.2014.0546 · DOI
  33. 10.1111/jcmm.12712 · DOI
  34. 10.1038/nature12932 · DOI
  35. 10.1016/j.stem.2014.11.002 · DOI
  36. 10.1073/pnas.0731830100 · DOI
  37. 10.1182/blood-2017-02-769869 · DOI · Paper page
  38. 10.1038/s41467-017-02697-5 · DOI
  39. 10.1210/jc.2007-0135 · DOI
  40. 10.1001/jama.297.13.1465 · DOI · Paper page
  41. 10.1111/j.1365-2826.2011.02147.x · DOI
  42. 10.1093/humrep/dep015 · DOI
  43. 10.1289/ehp.1307351 · DOI
  44. 10.1038/s41598-018-25831-9 · DOI
  45. 10.1038/nn.3988 · DOI
  46. 10.1161/CIRCRESAHA.118.313225 · DOI · Paper page
  47. 10.1001/jamacardio.2020.2468 · DOI · Paper page

Cited by

See all 147

Metadata

Authors
Honigberg, M. C., Zekavat, S. M., Niroula, A., Griffin, G. K., Bick, A. G., Pirruccello, J. P., Nakao, T., Whitsel, E. A., Farland, L. V., Laurie, C., Kooperberg, C., Manson, J. E., Gabriel, S., Libby, P., Reiner, A. P., Ebert, B. L., Program, N. T.-O. F. P. M., & Natarajan, P.
Affiliations
  • Cardiology Division (M.C.H., J.P.P., P.N.), Massachusetts General Hospital, Harvard Medical School, Boston.
  • Broad Institute of Harvard and MIT, Cambridge, MA (M.C.H., S.M.Z., A.N., G.K.G., A.G.B., J.P.P., T.N., S.G., B.L.E., P.N.).
  • Cardiovascular Research Center and Center for Genomic Medicine (M.C.H., J.P.P., T.N., P.N.), Massachusetts General Hospital, Harvard Medical School, Boston.
  • Gillings School of Global Public Health and School of Medicine, University of Chapel Hill, NC (E.A.W.).
  • Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson (L.V.F.).
  • Department of Biostatistics, University of Washington, Seattle (C.L.).
  • Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA (C.K., A.P.R.).
  • Division of Preventive Medicine (J.E.M.), Brigham and Women’s Hospital, Harvard Medical School, Boston, MA.
  • Cardiovascular Division, Brigham and Women’s Hospital Heart &amp; Vascular Center, Boston, MA (P.L.).
Venue
Circulation
Published
2021-02-02
Volume
143
Issue
5
Pages
410-423
ISSN
  • 0009-7322
  • 1524-4539
Cited by
147
References
15
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review