Evidence map›Paper›PMID 37345113›Full record

ArticleCancers2023

Genome-Wide Association Study of Breast Density among Women of African Ancestry.

Shefali Setia Verma, Lindsay Guare, Sarah Ehsan, Aimilia Gastounioti, Gabrielle Scales, Marylyn D Ritchie, Despina Kontos, Anne Marie McCarthy, Penn Medicine Biobank

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. LowerBiology · 2024
    Article
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

9 authors at 3 institutions in 1 country.

Shefali Setia VermaPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Lindsay GuarePerelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0001-6988-5319
Sarah EhsanPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0001-9328-1187
Aimilia GastouniotiWashington University School of Medicine in St. Louis, St. Louis, MO 63130, USA.ORCID 0000-0002-3359-7195
Gabrielle ScalesSpelman College, Atlanta, GA 30314, USA.
Marylyn D RitchiePerelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Despina KontosPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0001-9031-5126
Anne Marie McCarthyPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-3068-2669
Penn Medicine Biobank
University of Pennsylvania · USSpelman College · USWashington University in St. Louis · US

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Effect of Breast Density on Screening Recall with Digital Breast TomosynthesisR01CA161749 · NCI · UNIVERSITY OF PENNSYLVANIA · PI KONTOS, DESPINA · 2012 to 2021
$3.6M
American Cancer Society MSRG-17-144-01-CCENCATS NIH HHS UL1 TR001878NCI NIH HHS R01 CA161749NIH/NCI 5R01CA161749Perelman School of Medicine at University of Pennsylvania, the Smilow family, and the National Center for Advancing Translational Sciences of the National Institutes of Health UL1TR001878The Center for Global Genomics and Health Equity at the University of Pennsylvania GGHE-KP-2022-002
6 · The paper itself

Abstract

Breast density, the amount of fibroglandular versus fatty tissue in the breast, is a strong breast cancer risk factor. Understanding genetic factors associated with breast density may help in clarifying mechanisms by which breast density increases cancer risk. To date, 50 genetic loci have been associated with breast density, however, these studies were performed among predominantly European ancestry populations. We utilized a cohort of women aged 40-85 years who underwent screening mammography and had genetic information available from the Penn Medicine BioBank to conduct a Genome-Wide Association Study (GWAS) of breast density among 1323 women of African ancestry. For each mammogram, the publicly available "LIBRA" software was used to quantify dense area and area percent density. We identified 34 significant loci associated with dense area and area percent density, with the strongest signals in

Indexed as

African ancestrybreast cancerbreast densitygenome-wide association study

Identifiers

PMID37345113
PMCPMC10216271
OpenAlexW4377043659

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.