Evidence map›Paper›PMID 29531935›Full record

ArticleAdvanced biomedical research2018

A Rare Missense Mutation and a Polymorphism with High Frequency in

Masoud Tajamolian, Parisa Kolahdouz, Parvaneh Nikpour, Seyed Khalil Forouzannia, Mohammad Hasan Sheikhha, Ehsan Farashahi Yazd

Open access · goldAbstract read
In one paragraph

Article in Advanced biomedical research, 2018. 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
0.7field-weighted citation impact, top 28% 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, 3 citations in OpenAlex.

  1. Mutational Spectrum ofFrontiers in genetics · 2021
    Article
  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

6 authors at 3 institutions in 1 country.

Masoud TajamolianDepartment of Genetics, Faculty of Medicine, Yazd, Iran.
Parisa KolahdouzYazd Clinical and Research Center for Infertility, Yazd, Iran.
Parvaneh NikpourDepartment of Genetics and Molecular Biology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Seyed Khalil ForouzanniaYazd Cardiovascular Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Mohammad Hasan SheikhhaDepartment of Genetics, Faculty of Medicine, Yazd, Iran.
Ehsan Farashahi YazdDepartment of Genetics, Faculty of Medicine, Yazd, Iran.
Yazd University · IRIsfahan University of Medical Sciences · IRShahid Sadoughi University of Medical Sciences and Health Services · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFamilial hypercholesterolemia (FH) is a disorder that is inherited by autosomal dominant pattern. The main cause of FH disease is the occurrence of mutations in low-density lipoprotein receptor (LDLR) gene sequence, as well as apolipoprotein B and proprotein convertase subtilisin/kexin type 9 genes, located in the next ranks, respectively. MATERIALS AND

methodsForty-five unrelated Iranian patients with FH were screened using a high-resolution melting (HRM) method for exon 9 along with intron/exon boundaries of

resultsOur findings revealed a missense mutation c. 1246C>T and a known variant IVS9-30C>T (rs1003723) that was recognized in 71% of the patients (22%: homozygous and 49%: heterozygous genotypes).

conclusionFH is a hereditary type of hypercholesterolemia that leads to premature cardiovascular disease and atherosclerosis, and early diagnosis is needed. We detected a rare missense mutation (1246C>T) and a common single nucleotide polymorphism (SNP) in the Iranian population. These reports could help in the genetic diagnosis and counseling of FH patients.

Indexed as

Familial hypercholesterolemiahigh-resolution meltingIranlow-density lipoprotein receptormissense mutation

Identifiers

PMID29531935
PMCPMC5841003
OpenAlexW2807192069

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.