Evidence map›Paper›PMID 31182048›Full record

ArticleBMC cancer2019

Polygenic prediction of breast cancer: comparison of genetic predictors and implications for risk stratification.

Kristi Läll, Maarja Lepamets, Marili Palover, Tõnu Esko, Andres Metspalu, Neeme Tõnisson, Peeter Padrik, Reedik Mägi, Krista Fischer

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Enhanced fracture risk prediction: a novel multi-trait genetic approach integrating polygenic scores of fracture-related traits.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
    Article
  5. Comprehensive Inherited Risk Estimation for Risk-Based Breast Cancer Screening in Women.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Simplified Breast Risk Tool Integrating Questionnaire Risk Factors, Mammographic Density, and Polygenic Risk Score: Development and Validation.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    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 4 institutions in 2 countries.

Kristi LällEstonian Genome Center, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia. kristi.lall@ut.ee.ORCID http://orcid.org/0000-0002-9161-4694
Maarja LepametsEstonian Genome Center, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia.
Marili PaloverEstonian Genome Center, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia.
Tõnu EskoEstonian Genome Center, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia.
Andres MetspaluEstonian Genome Center, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia.
Neeme TõnissonEstonian Genome Center, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia.
Peeter PadrikInstitute of Clinical Medicine, University of Tartu, Tartu, Estonia.
Reedik MägiEstonian Genome Center, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia.
Krista FischerEstonian Genome Center, Institute of Genomics, University of Tartu, Riia 23b, 51010, Tartu, Estonia.
University of Tartu · EEBroad Institute · USEstonian Biocentre · EETartu University Hospital · EE

Funding

Estonian Research Competency Council estPerMed IEstonian Research Competency Council IUT24-6Estonian Research Competency Council PUT1660Estonian Research Competency Council PUT1665Estonian Research Competency Council (EE) IUT20-60European Regional Development Fund GENTRANSMEDHorizon 2020 692145
6 · The paper itself

Abstract

backgroundPublished genetic risk scores for breast cancer (BC) so far have been based on a relatively small number of markers and are not necessarily using the full potential of large-scale Genome-Wide Association Studies. This study aimed to identify an efficient polygenic predictor for BC based on best available evidence and to assess its potential for personalized risk prediction and screening strategies.

methodsFour different genetic risk scores (two already published and two newly developed) and their combinations (metaGRS) were compared in the subsets of two population-based biobank cohorts: the UK Biobank (UKBB, 3157 BC cases, 43,827 controls) and Estonian Biobank (EstBB, 317 prevalent and 308 incident BC cases in 32,557 women). In addition, correlations between different genetic risk scores and their associations with BC risk factors were studied in both cohorts.

resultsThe metaGRS that combines two genetic risk scores (metaGRS

conclusionsWe have shown that metaGRS

Indexed as

GenotypeMultifactorial InheritanceAdultAgedBiomarkers, TumorBreast NeoplasmsCase-Control StudiesCohort StudiesEarly Detection of CancerFemaleGenetic Predisposition to DiseaseGenetic TestingGenome-Wide Association StudyHumansMiddle AgedPolymorphism, Single NucleotideBiomarkers, TumorBreast cancerGenetic predisposition to diseasePersonalized medicinePolygenic risk scoreRisk stratification

Identifiers

PMID31182048
PMCPMC6558751
OpenAlexW2952228572

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.