Evidence map›Paper›PMID 36652676›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2023

Inference on the Genetic Architecture of Breast Cancer Risk.

Yutaka Yasui, William Letsou, Fan Wang, Cindy Im, Yadav Sapkota, Zhaoming Wang, Sedigheh Mirzaei Salehabadi, Jessica L Baedke, Won Jong Moon, Qi Liu and 2 more

Open access · greenAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. ConstitutionalHuman mutation · 2024
    Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 3 countries.

Yutaka YasuiDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0002-7717-8638
William LetsouDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0002-4969-2330
Fan WangDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0001-9806-5037
Cindy ImSchool of Public Health, University of Alberta, Edmonton, Alberta, Canada.ORCID 0000-0003-0931-9432
Yadav SapkotaDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0001-5943-9454
Zhaoming WangDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0001-7556-3869
Sedigheh Mirzaei SalehabadiDepartment of Biostatistics, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0001-8240-5957
Jessica L BaedkeDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0001-5085-4985
Won Jong MoonDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0002-2544-1801
Qi LiuSchool of Public Health, University of Alberta, Edmonton, Alberta, Canada.ORCID 0000-0002-7208-515X
Leslie L RobisonDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0001-7460-8578
Jose Miguel MartinezDepartment of Statistics and Operations Research, The Polytechnic University of Catalonia, Barcelona, Spain.ORCID 0000-0002-9633-1204
St. Jude Children's Research Hospital · USUniversity of Alberta · CAUniversitat Politècnica de Catalunya · ES

Funding

Late Effects Prediction using Clinical Phenotypes and Whole Genome SequencingR01CA216354 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI YASUI, YUTAKA, ZHANG, JINGHUI · 2017 to 2021
$3.4M
NCI NIH HHS R01 CA216354
6 · The paper itself

Abstract

backgroundWhat are the major determinants of women's breast cancer risk? Rare mutations such as those in the BRCA1/2 genes, polygenic scores of common alleles identified by genome-wide association studies, or nongenetic factors?

methodsThe population-based Nordic Twin Study of Cancer, with 3,933 breast cancer cases among 21,054 monozygotic (MZ) and 30,939 dizygotic (DZ) female twin pairs, provides three key clues to this question: (i) the average lifetime risk, approximately 8%, does not differ by twin zygosity; (ii) the mean time interval between diagnoses when both twins develop disease (i.e., disease concordance) also does not differ by zygosity; but, (iii) conditioning on one twin having developed disease, the incidence rate in the co-twin is approximately 1% per year if the pair is MZ and 0.5% per year if DZ.

resultsAssuming that nongenetic risk factors are shared similarly between twins regardless of zygosity, we can draw two conclusions from (i) to (iii).

conclusionsFirst, (i) and (iii) imply that the chief determinant of risk is in the germline DNA, because the conditional incidence rate is several-fold higher than the average risk (8% lifetime) in MZ twins but only half as much in DZ twins. Second, the seeming inconsistency between the two-fold conditional incidence rate (iii) and the equality of the mean inter-twin disease intervals in disease concordance (ii) can be resolved if the risk factors in the germline DNA are rare variants, not common variants. IMPACT: This paper details simple deductive reasoning for these conclusions and draws a critical inference regarding breast cancer etiology. See related In the Spotlight, p. 1477.

Indexed as

BRCA1 ProteinBreast NeoplasmsBRCA2 ProteinDiseases in TwinsDNAFemaleGenome-Wide Association StudyHumansRisk FactorsTwins, DizygoticTwins, MonozygoticBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanDNA

Identifiers

PMID36652676
PMCPMC10352461
OpenAlexW4317378996

What OpenQuestion holds

Textmetadata
LicenceTDM
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.