Evidence map›Paper›PMID 28125976›Full record

ArticleBMC medical genetics2017

Identification of novel candidate variants including COL6A6 polymorphisms in early-onset atopic dermatitis using whole-exome sequencing.

Won Il Heo, Kui Young Park, Taewon Jin, Mi-Kyung Lee, MinJeong Kim, Eung Ho Choi, Hae-Suk Kim, Jung Min Bae, Nam Ju Moon, Seong Jun Seo

Open access · goldAbstract read
In one paragraph

Article 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 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.4field-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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Won Il HeoDepartment of Dermatology, Chung-Ang University Hospital, Heukseok-Ro 102, Dongjak-Gu, Seoul, South Korea.
Kui Young ParkDepartment of Dermatology, Chung-Ang University Hospital, Heukseok-Ro 102, Dongjak-Gu, Seoul, South Korea.
Taewon JinDepartment of Dermatology, Chung-Ang University Hospital, Heukseok-Ro 102, Dongjak-Gu, Seoul, South Korea.
Mi-Kyung LeeDepartment of Laboratory Medicine, Chung-Ang University Hospital, Seoul, South Korea.
MinJeong KimDepartment of Dermatology, Chung-Ang University Hospital, Heukseok-Ro 102, Dongjak-Gu, Seoul, South Korea.
Eung Ho ChoiDepartment of Dermatology, Yonsei University Wonju College of Medicine, Wonju, South Korea.
Hae-Suk KimTheragenEtex Bio Institute Inc., Suwon, South Korea.
Jung Min BaeDepartment of Dermatology, St. Vincent's Hospital, College of Medicine, Catholic University of Korea, Suwon, South Korea.
Nam Ju MoonDepartment of Ophthalmology, Chung-Ang University Hospital, Seoul, South Korea.
Seong Jun SeoDepartment of Dermatology, Chung-Ang University Hospital, Heukseok-Ro 102, Dongjak-Gu, Seoul, South Korea. drseo@hanafos.com.
Chung-Ang University Hospital · KRThe Catholic University of Korea St. Vincent's Hospital · KRTheragen · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of atopic dermatitis has increased over the last 10 years. Atopic dermatitis tends to run in families and commonly begins to manifest in childhood. The prevalence of atopic dermatitis is as high as 20% in children. Thus, early diagnosis and treatment of atopic dermatitis are important. Understanding its genetic basis is also needed to facilitate early detection.

methodsTo identify family-specific candidate genetic variants associated with early-onset atopic dermatitis in Koreans, we carried out whole-exome sequencing of three separate families with this condition. Additional validation was performed in 112 AD patients and 61 controls using Sanger sequencing.

resultsWe focused on both common functional variants with a minor allele frequency higher than 1% and rare variants with a minor allele frequency less than 1%. The relevance of the respective variants was supported by a program that could predict whether the mutations resulted in damaged protein function. Fourteen overlapping genes were identified during exome sequencing. Three variants of the COL6A6 gene appeared in all three families and were in close proximity to atopic dermatitis-related loci on chromosome 3q21. The homozygous frequency for the rs16830494 minor allele (AA) and the rs59021909 (TT) allele and the rs200963433 heterozygous (CT) frequency were all higher in AD cases compared to controls in a population-based case-control study.

conclusionIdentifying family-specific COL6A6 polymorphisms and genetic variants of other candidate genes associated with AD using WES is a novel approach. Our study suggests that COL6A6 variants may be risk factors for atopic dermatitis. This study provides a genetic basis for early-onset AD diagnosis in Korean patients and the development of new therapies.

trial registrationTrial registration number: IRB NO. C2008030 (133); Name of registry: The collection research of clinical data and patient blood to identify genetic and protein biomarker of atopic dermatitis; Date of registration: 09-July-2008. TRIAL REGISTRATION NUMBER: IRB NO. C2015258 (1716); Name of registry: The collection study of patient blood and clinical data for the development of the prognosis prediction and early diagnosis of atopic dermatitis; Date of registration: 15-jan-2016.

Indexed as

Polymorphism, Single NucleotideAge of OnsetCollagen Type VIDermatitis, AtopicExomeFemaleGenetic Predisposition to DiseaseHumansMaleSequence Analysis, DNACOL6A6 protein, humanCollagen Type VIAtopic dermatitisCOL6A6Sanger sequencingWhole-exome sequencing

Identifiers

PMID28125976
PMCPMC5270287
OpenAlexW2582527207

What Socratic 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 Socratic graph.