Evidence map›Paper›PMID 33983593›Full record

ArticleAdvances in experimental medicine and biology2021

Rare Coding Variants Associated with Breast Cancer.

Mi-Ryung Han

Abstract read
PubMed Publisher
In one paragraph

Article in Advances in experimental medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Mi-Ryung HanDivision of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon, South Korea. genetic0309@inu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most common invasive cancer in females worldwide and in Asian countries. Common variants found by genome-wide association studies (GWAS) only explain approximately 16% of the heritability of breast cancer: therefore, it is important to examine rare/low-frequency variants in GWAS-identified loci which may also contribute to breast cancer risk. Previous studies have reported that genetic variants with lower allele frequency are more likely to be functional than common variants in coding regions. In future studies, the contribution of observed rare variants will be estimated more clearly when additive and recessive genetic variants will be investigated using sequencing technology, eQTL studies, and improved statistical methods in large samples.

Indexed as

Breast NeoplasmsGenome-Wide Association StudyAsiaFemaleGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideBreast cancerGenome-wide association studies (GWAS)Rare coding variant

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.