Evidence map›Paper›PMID 33132382›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2020

Detecting Rare Variants and Heteroplasmy of Mitochondrial DNA from High-Throughput Sequencing in Patients with Coronary Artery Disease.

Qian Jia, Lu Xu, Juan Shen, Yanping Wei, Huaiqian Xu, Jinlong Shi, Zhilong Jia, Xiaojing Zhao, Chunlei Liu, Qin Zhong and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. 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
0.3field-weighted citation impact, top 42% 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, 9 citations in OpenAlex.

  1. Mitochondrial tRNA-Derived Diseases.International journal of molecular sciences · 2025
    Review
  2. Review
  3. Review
  4. Review
  5. The Role of Mitochondrial DNA Mutations in Cardiovascular Diseases.International journal of molecular sciences · 2022
    Review
  6. Novel method for the genomic analysis ofFrontiers in cell and developmental biology · 2022
    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

12 authors at 5 institutions in 2 countries.

Qian JiaCore Laboratory of Translational Medicine, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China (mainland).
Lu XuCore Laboratory of Translational Medicine, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China (mainland).
Juan ShenBGI Genomics, Shenzhen, Guangdong, China (mainland).
Yanping WeiBGI Genomics, Shenzhen, Guangdong, China (mainland).
Huaiqian XuBGI Genomics, Shenzhen, Guangdong, China (mainland).
Jinlong ShiBeijing Key laboratory of Chronic Heart Failure Precision Medicine, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China (mainland).
Zhilong JiaBeijing Key laboratory of Chronic Heart Failure Precision Medicine, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China (mainland).
Xiaojing ZhaoCore Laboratory of Translational Medicine, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China (mainland).
Chunlei LiuCore Laboratory of Translational Medicine, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China (mainland).
Qin ZhongCore Laboratory of Translational Medicine, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China (mainland).
Yaping TianCore Laboratory of Translational Medicine, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China (mainland).
Kunlun HeCore Laboratory of Translational Medicine, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China (mainland).
Chinese General Hospital College of Nursing and Liberal Arts · PHChinese PLA General Hospital · CNBGI GenomicsChinese People's Liberation Army · CNBGI Group (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Although mutations and dysfunction of mitochondrial DNA (mtDNA) are related to a variety of diseases, few studies have focused on the relationship between mtDNA and coronary artery disease (CAD), especially the relationship between rare variants and CAD. MATERIAL AND METHODS Two-stage high-throughput sequencing was performed to detect mtDNA variants or heteroplasmy and the relationship between them and CAD phenotypes. In the discovery stage, mtDNA was analyzed by high-throughput sequencing of long-range PCR products generated from the peripheral blood of 85 CAD patients and 80 demographically matched controls. In the validation stage, high-throughput sequencing for mtDNA target regions captured by GenCap Kit was performed on 100 CAD samples and 100 controls. Finally, tRNA fine mapping was performed between our study and the reported Chinese CAD study. RESULTS Among the tRNA genes, we confirmed a highly conserved rare variant, A5592G, previously reported in the Chinese CAD study, and 2 novel rare mutations that reached Bonferroni's correction significance in the combined analysis were found (P=7.39×10-4 for T5628C in tRNAAla and P=1.01×10-5 for T681C in 12S rRNA) in the CAD study. Both of them were predicted to be pathological, with T5628C disrupting an extremely conservative base-pairing at the AC stem of tRNAAla. Furthermore, we confirmed the controversial issue that the number of non-synonymous heteroplasmic sites per sample was significantly higher in CAD patients. CONCLUSIONS In conclusion, our study confirmed the contribution of rare variants in CAD and showed that CAD patients had more non-synonymous heterogeneity mutations, which may be helpful in identifying the genetic and molecular basis of CAD.

Indexed as

AgedChinaCoronary Artery DiseaseDNA, MitochondrialFemaleHeteroplasmyHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedMitochondriaMutationRNA, Transfer, AlaDNA, MitochondrialRNA, Transfer, Ala

Identifiers

PMID33132382
PMCPMC7646198
OpenAlexW3086380924

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.