Evidence map›Paper›PMID 31480066›Full record

ArticleHuman heredity2019

Estimating Uterine Fibroid SNP-Based Heritability in European American Women with Imaging-Confirmed Fibroids.

Michael J Bray, Lea K Davis, Eric S Torstenson, Sarah H Jones, Todd L Edwards, Digna R Velez Edwards

Abstract read
In one paragraph

Article in Human heredity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. EVALUATING THE RELATIONSHIPS BETWEEN GENETIC ANCESTRY AND THE CLINICAL PHENOME.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2024
    Article
  4. Article
  5. Article
  6. Molecular and Cellular Insights into the Development of Uterine Fibroids.International journal of molecular sciences · 2021
    Review
  7. Review
4 · The record

Corrections and comments

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

6 authors.

Michael J BrayDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.
Lea K DavisVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Eric S TorstensonVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Sarah H JonesInstitute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Todd L EdwardsVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Digna R Velez EdwardsVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA, digna.r.velez.edwards@vanderbilt.edu.

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Large-scale studies in eMERGE to discover the genetic determinants of uterine fibroidsR01HD093671 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI EDWARDS, TODD L, VELEZ EDWARDS, DIGNA R · 2017 to 2021
$3.3M
Training Program on Genetic Variation and Human PhenotypesT32GM080178 · NIGMS · VANDERBILT UNIVERSITY · PI COX, NANCY J, SAMUELS, DAVID C · 2007 to 2021
$3.1M
Understanding the genetic risk underlying racial disparities in uterine fibroids - Diversity SupplementR01HD074711 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI VELEZ EDWARDS, DIGNA R · 2013 to 2017
$2.9M
Modular Automated -80C Sample Storage SystemS10OD025092 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GOLDENRING, JAMES RICHARD · 2019 to 2019
$2.0M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)TL1TR000447 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$1.2M
Using the Exome to Discover Genetic Determinants of Fibroids in African AmericansR03HD078567 · NICHD · VANDERBILT UNIVERSITY · PI VELEZ EDWARDS, DIGNA R · 2014 to 2015
$155k
NCATS NIH HHS TL1 TR000447NCATS NIH HHS UL1 TR000445NICHD NIH HHS R01 HD074711NICHD NIH HHS R01 HD093671NICHD NIH HHS R03 HD078567NIGMS NIH HHS T32 GM080178NIH HHS S10 OD025092
6 · The paper itself

Abstract

backgroundHeritability estimates (including twin and single nucleotide polymorphism [SNP]-based heritability studies) for fibroids have been inconsistent across prior studies ranging between 9 and 69%. These inconsistencies are due to variations in study design and included populations. A major design issue has been lack of imaging confirmation to identify controls, where asymptomatic women without imaging confirmation may be misclassified as controls leading to an attenuation of heritability estimates. To reconcile the differences in prior heritability estimates and the impact of misclassification of controls on heritability, we determined SNP-based heritability and characterized the genetic architecture of pelvic image-confirmed fibroid cases and controls.

methodsAnalyses were performed among women of European American descent using genome-wide SNP data from BioVU, a clinical database composed of DNA linked to de-identified electronic health records. We estimated the genetic variance explained by all SNPs using Genome-Wide Complex Trait Analysis on imputed data. Fibroid cases and controls were identified using a previously reported phenotyping algorithm that required pelvic imaging confirmation.

resultsIn total, we used 1,067 image-confirmed fibroid cases and 1,042 image-confirmed fibroid controls. The SNP-based heritability estimate for fibroid risk was h2 = 0.33 ± 0.18 (p = 0.040). We investigated the relationship between heritability per chromosome and chromosome length (r2 < 1%), with chromosome 8 explaining the highest proportion of variance for fibroid risk. There was no enrichment for intergenic or genic SNPs for the fibroid SNP-based heritability. Excluding loci previously associated with fibroid risk from genome-wide association study did not attenuate fibroid heritability suggesting that loci associating with fibroid risk are yet to be discovered.

conclusionsWe observed that fibroid SNP-based heritability was higher than the previous estimate using genome-wide SNP data that relied on self-reported outcomes, but within the range of prior twin pair studies. Furthermore, these data support that imprecise phenotyping can significantly affect the ability to estimate heritability using genotype data.

Indexed as

Imaging, Three-DimensionalWhite PeopleChromosomes, HumanDNA, IntergenicFemaleGenetic LociGenome-Wide Association StudyHumansInheritance PatternsLeiomyomaMiddle AgedPolymorphism, Single NucleotideDNA, IntergenicGenome-wide SNP dataHeritabilityLeiomyomataUltrasoundUterus

Identifiers

PMID31480066
PMCPMC6904850

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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.