Evidence map›Paper›PMID 29157216›Full record

ReviewBMC medical genetics2017

Breast cancer protection by genomic imprinting in close kin families.

Srdjan Denic, Mukesh M Agarwal

Open access · goldAbstract readReview
In one paragraph

Review in BMC medical genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. 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

2 authors at 2 institutions in 2 countries.

Srdjan DenicDepartment of Medicine, College of Medicine and Health Sciences, United Arab Emirates University, PO Box 17666, Al Ain, Abu Dhabi, UAE. s.denic@uaeu.ac.ae.ORCID 0000-0003-3565-2829
Mukesh M AgarwalDepartment of Pathology, California University of Science and Medicine, 217 E Club Center Drive, San Bernardino, CA, 92408, USA.
California State University, San Bernardino · USUnited Arab Emirates University · AE

Funding

United Arab Emirates University 31M26
6 · The paper itself

Abstract

Human inbreeding generally reduces breast cancer risk (BCR). When the parents are biologically related, their infants have a lower birth weight due to smaller body organs. The undersized breasts, because of fewer mammary stem cells, have a lower likelihood of malignant conversion. Fetal growth is regulated by genomically imprinted genes which are in conflict; they promote growth when derived from the father and suppress growth when derived from the mother. The kinship theory explicates that the intensity of conflict between these genes affects growth and therefore the size of the newborn. In descendants of closely related parents, this gene clash is less resulting in a smaller infant. In this review, we elucidate the different mechanisms by which human inbreeding affects BCR, and why this risk is dissimilar in different inbred populations.

Indexed as

Fetal DevelopmentGenomic ImprintingModels, GeneticBreast NeoplasmsFemaleHumansInfant, NewbornArabsEpigeneticsHeterosisHomozygosisMate selectionPakistanPublic health

Identifiers

PMID29157216
PMCPMC5696730
OpenAlexW2770742913

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.