Evidence map›Paper›PMID 32868861›Full record

ArticleScientific reports2020

IDOL gene variant is associated with hyperlipidemia in Han population in Xinjiang, China.

Dilare Adi, Jialin Abuzhalihan, Ying-Hong Wang, Gulinaer Baituola, Yun Wu, Xiang Xie, Zhen-Yan Fu, Yi-Ning Yang, Xiang Ma, Xiao-Mei Li and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Genetic Variation ofFrontiers in genetics · 2021
    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

13 authors at 2 institutions in 1 country.

Dilare Adi *State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Jialin Abuzhalihan *State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Ying-Hong WangHealth Checkup Department of the First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Gulinaer BaituolaState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Yun WuDepartment of General Practice, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, People's Republic of China.
Xiang XieState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Zhen-Yan FuState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Yi-Ning YangState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Xiang MaState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Xiao-Mei LiState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Bang-Dang ChenState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Fen LiuState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Yi-Tong MaState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China. myt_xj@sina.com.
Xinjiang Medical University · CNFirst Affiliated Hospital of Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperlipidemia is one of the main risk factors that contributed to atherosclerosis and coronary artery disease (CAD). In the present study, our objective was to explore whether some genetic variants of human IDOL gene were associated with hyperlipidemia among Han population in Xinjiang, China. We designed a case-control study. A total of 1,172 subjects (588 diagnosed hyperlipidemia cases and 584 healthy controls) of Chinese Han were recruited. We genotyped three SNPs (rs9370867, rs909562, and rs2072783) of IDOL gene in all subjects by using the improved multiplex ligation detection reaction (iMLDR) method. Our study demonstrated that the distribution of the genotypes, the dominant model (AA vs GG + GA), and the overdominant model (AA + GG vs GA) of the rs9370867 SNP had significant differences between the case group and controls (all P < 0.001). For rs909562 and rs2072783, the distribution of the genotypes, the recessive model (AA + GA vs GG) showed significant differences between the case subjects and controls (P = 0.002, P = 0.007 and P = 0.045, P = 0.02, respectively). After multivariate adjustment for several confounders, the rs9370867 SNP is still an independent risk factor for hyperlipidemia [odds ratio (OR) = 1.380, 95% confidence interval (CI) = 1.201-1.586, P < 0.001]. The rs9370867 of human IDOL gene was associated with hyperlipidemia in Han population.

Indexed as

AllelesAsian PeopleCase-Control StudiesChinaFemaleGenetic Predisposition to DiseaseGenotyping TechniquesHaplotypesHumansHyperlipidemiasLinkage DisequilibriumMaleMiddle AgedPolymorphism, Single NucleotideUbiquitin-Protein LigasesMYLIP protein, humanUbiquitin-Protein Ligases

Identifiers

PMID32868861
PMCPMC7459279
OpenAlexW3082012148

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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.