Implication of the Strand-Specific Imprinting and Segregation Model: Integrating

Singh Harbinder, Carol A Lazzara, Amar Js Klar

Open access · hybridAbstract read

In one paragraph

Article in Hereditary genetics : current research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact, top 80% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

Integrated Genomic and Bioinformatics Approaches to Identify Molecular Links between Endocrine Disruptors and Adverse Outcomes.International journal of environmental research and public health · 2022
Review

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

3 authors at 1 institution in 1 country.

Singh HarbinderDepartment of Biological Sciences, Delaware State University, Dover, USA.

Carol A LazzaraDepartment of Biological Sciences, Delaware State University, Dover, USA.

Amar Js KlarGene Regulation and Chromosome Biology Laboratory, Frederick National Laboratory for Cancer Research, National Institutes of Health, Frederick, USA.

Delaware State University · US

Funding

Updated confocal microscope in the Imaging Core facility to support biomedical researchP20GM103653 · NIGMS · DELAWARE STATE UNIVERSITY · PI HARRINGTON, MELISSA A · 2012 to 2022

$22.7M

NIGMS NIH HHS P20 GM103653

6 · The paper itself

Abstract

Known genetic mutations and familial hereditary factors account for less than 20-25% of breast cancer cases in women, therefore, most instances have been classified as sporadic cases of unknown aetiologies. Single nucleotide polymorphisms (SNPs) were considered as breast cancer risk factors, but numerous studies have failed to support this assertion. Recent evidence correlates aberrant epigenetic mechanisms in the development and metastatic progression of breast cancer, yet there has been limited progress made to identify the primary aetiology underlying sporadic cases of breast cancer. This has led some researchers to consider alternative hypotheses including

Indexed as

Asymmetric chromatid segregationBreast cancer aetiologyCerebral lateralityImmortal strand hypothesisIn-Utero hormone exposure

Identifiers

PMID34589269

DOI10.4172/2161-1041.s2-005

PMCPMC8478350

OpenAlexW2323254319

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.