Evidence map›Paper›PMID 34732029›Full record

ArticlePsychiatry investigation2021

Association Between CLOCK Gene Variants and Restless Legs Syndrome in Koreans.

Jae Eun Seo, Ji Won Yeom, Sehyun Jeon, Chul-Hyun Cho, Seunghwa Jeong, Heon-Jeong Lee

Open access · diamondAbstract read
In one paragraph

Article in Psychiatry investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-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

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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

3 citing papers in PubMed, 7 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

6 authors at 2 institutions in 1 country.

Jae Eun SeoDepartment of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea.
Ji Won YeomDepartment of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea.
Sehyun JeonDepartment of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea.
Chul-Hyun ChoChronobiology Institute, Korea University, Seoul, Republic of Korea.
Seunghwa JeongDepartment of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea.
Heon-Jeong LeeDepartment of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea.
Korea University · KRChungnam National University · KR

Funding

National Research Foundation of Korea 2017M3A9F1031220National Research Foundation of Korea 2019R1A2C2084158
6 · The paper itself

Abstract

objectivePrevious studies have suggested various causes of restless legs syndrome (RLS), including iron and dopamine concentrations in the brain. Genetic influences have also been reported in many studies. There is also a possibility that circadian clock genes may be involved because symptoms of RLS worsen at night. We investigated whether CLOCK and NPAS2 gene polymorphisms were associated with RLS.

methodsA total of 227 patients with RLS and 229 non-RLS matched controls were assessed according to the International Restless Legs Syndrome Study Group diagnostic criteria. Genotyping was performed using reverse transcription polymerase chain reaction and high-resolution melting curve analyses.

resultsAlthough the genotype distributions of the CLOCK variants (rs1801260 and rs2412646) were not significantly different between patients with RLS and non-RLS controls, the allele frequencies of CLOCK rs1801260 showed marginally significant differences between the two groups (X2 =2.98, p=0.085). Furthermore, there was a significant difference in the distribution of CLOCK haplotypes (rs1801260-rs2412646) between patients with RLS and non-RLS controls (p=0.013). The distributions of allelic, genotypic, and haplotypic variants of NPAS2 (rs2305160 and rs6725296) were not significantly different between the two groups.

conclusionOur results suggest that CLOCK variants may be associated with decreased susceptibility to RLS.

Indexed as

Circadian rhythmCLOCK geneRestless legs syndrome

Identifiers

PMID34732029
PMCPMC8600210
OpenAlexW3208221377

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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.