Evidence map›Paper›PMID 33185019›Full record

ArticleAnnals of clinical and translational neurology2021

Rare variant analysis of essential tremor-associated genes in early-onset Parkinson's disease.

Dongxiao Liang, Yuwen Zhao, Hongxu Pan, Xun Zhou, Runcheng He, Xiaoxia Zhou, Jinxia Yang, Yige Wang, Xiaoting Zhou, Zhou Zhou and 6 more

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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  5. Han family with essential tremor caused by the P421L variant of the TENM4 gene in China.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Article
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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

16 authors at 1 institution in 2 countries.

Dongxiao LiangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.ORCID 0000-0002-4869-6284
Yuwen ZhaoDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Hongxu PanDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Xun ZhouDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Runcheng HeDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Xiaoxia ZhouDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Jinxia YangDepartment of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Yige WangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Xiaoting ZhouDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Zhou ZhouDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Qian XuDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Xinxiang YanDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Jinchen LiDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Jifeng GuoDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.ORCID 0000-0002-3658-3928
Beisha TangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.ORCID 0000-0003-2120-1576
Qiying SunDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.ORCID 0000-0002-2031-8345
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveParkinson's disease (PD) and essential tremor (ET) are the two most common movement disorders. A significant overlap in clinical features, epidemiology, imaging, and pathology suggests that PD and ET may also share common genetic risk factors. Previous studies have only assessed a limited number of ET-associated genes in PD patients and vice versa. Consequently, the genetic association between PD and ET remains incompletely characterized. In this study, we systematically investigated a potential association between rare coding variants in ET-associated genes and PD, in a relatively large Chinese population cohort.

methodsTo investigate the genetic association between ET and PD, we performed the sequence kernel association testing (SKAT-O) to explore the variant burden of 33 ET-associated genes, using whole-exome sequencing (WES) data from 1494 early-onset PD (EOPD) patients and 1357 control subjects from mainland China.

resultsWe report that rare loss-of-function and damaging missense variants of TNEM4 are suggestively associated with EOPD (P = 0.026), damaging missense variants of TNEM4 alone are also suggestively associated with EOPD (P = 0.032). No other rare damaging variants in ET-related genes were significantly associated with EOPD.

interpretationThis is the first systematic analysis of ET-associated genes in EOPD. The suggestive association between TNEM4 and EOPD provides new evidence for a genetic link between ET and PD.

Indexed as

Age of OnsetAsian PeopleCohort StudiesEssential TremorExome SequencingFemaleGenotypeHumansMaleMiddle AgedParkinson Diseaseearly-onset Parkinson’s diseaseessential tremorgenetic associationrare variantTENM4

Identifiers

PMID33185019
PMCPMC7818165
OpenAlexW3104760094

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.