Evidence map›Paper›PMID 26992017›Full record

ArticleCancer2016

Genetic anticipation in BRCA1/BRCA2 families after controlling for ascertainment bias and cohort effect.

Rodrigo Santa Cruz Guindalini, Andrew Song, James D Fackenthal, Olufunmilayo I Olopade, Dezheng Huo

Open access · bronzeAbstract read
In one paragraph

Article in Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Young Adult Cancer: Influence of the Obesity Pandemic.Obesity (Silver Spring, Md.) · 2018
    Review
  6. Article
  7. Article
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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

5 authors at 2 institutions in 2 countries.

Rodrigo Santa Cruz GuindaliniDepartment of Medicine, Center for Clinical Cancer Genetics and Global Health, The University of Chicago, Chicago, Illinois.
Andrew SongDepartment of Medicine, Center for Clinical Cancer Genetics and Global Health, The University of Chicago, Chicago, Illinois.
James D FackenthalDepartment of Medicine, Center for Clinical Cancer Genetics and Global Health, The University of Chicago, Chicago, Illinois.
Olufunmilayo I OlopadeDepartment of Medicine, Center for Clinical Cancer Genetics and Global Health, The University of Chicago, Chicago, Illinois.
Dezheng HuoDepartment of Medicine, Center for Clinical Cancer Genetics and Global Health, The University of Chicago, Chicago, Illinois.
Cancer Genetics (United States) · USUniversity of Chicago · US

Funding

Variation in Hormone and xenobiotic metabolizing enzyme genes and breast cancerP50CA125183 · NCI · UNIVERSITY OF CHICAGO · PI COX, NANCY · 2006 to 2010
$11.3M
Using Genomics to Reduce Breast Cancer Disparities in the African DiasporaU01CA161032 · NCI · UNIVERSITY OF CHICAGO · PI HUO, DEZHENG, OLOPADE, OLUFUNMILAYO F. · 2012 to 2015
$3.6M
NCI NIH HHS P50 CA125183NCI NIH HHS U01 CA161032
6 · The paper itself

Abstract

backgroundGenetic anticipation, the earlier onset of disease in successive generations, has been reported in hereditary breast and ovarian cancer syndrome (HBOC), but little is known about its underlying mechanisms. Ascertainment bias has been suggested as a reason in previous studies. Likewise, cohort effect, which may be caused by environmental factors, can be misinterpreted as genetic anticipation.

methodsThe authors reviewed the pedigrees of 176 kindreds, segregating those with deleterious mutations in breast cancer genes 1 and 2 (BRCA1/BRCA2) who had at least 2 consecutive generations of the same cancer (breast or ovarian). By using mutation probabilities as analytical weights in weighted random-effect models, generational differences in the age at onset of breast/ovarian cancer were calculated. The analyses were further controlled for ascertainment bias by excluding probands and adjusting for birth-cohort effect in the anticipation models.

resultsThe mean age at the onset of breast cancer for the probands' generation was 41.9 years, which was 6.8 years and 9.8 years earlier than the parents' and grandparents' generations, respectively. The anticipation effect for breast cancer remained significant after excluding the probands. There was a birth-cohort effect: patients who were born in 1930s and 1940s had breast cancer 5.0 years and 7.6 years earlier than patients who were born before 1920. The difference in breast cancer age of onset across generations was no longer significant after adjusting for birth-cohort effect.

conclusionsThe observed anticipation effect was driven mainly by a decrease in age of onset across birth cohorts, underscoring the need for risk-reducing interventions that target changing environmental/lifestyle factors in BRCA1/BRCA2 carriers. Cancer 2016;122:1913-20. © 2016 American Cancer Society.

Indexed as

Genes, BRCA1Genes, BRCA2Germ-Line MutationAdultAge FactorsBreast NeoplasmsCohort StudiesFemaleGenetic Predisposition to DiseaseHumansMiddle AgedOvarian NeoplasmsPedigreeascertainment biasbreast cancer genes 1 and 2 (BRCA1/BRCA2)cohort effectgenetic anticipationhereditary breast and ovarian cancer syndrome

Identifiers

PMID26992017
PMCPMC4892951
OpenAlexW2298131511

What OpenQuestion holds

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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.