Evidence map›Paper›PMID 20808825›Full record

ArticlePloS one2010

Novel association strategy with copy number variation for identifying new risk Loci of human diseases.

Xianfeng Chen, Xinlei Li, Ping Wang, Yang Liu, Zhenguo Zhang, Guoping Zhao, Haiming Xu, Jun Zhu, Xueying Qin, Suchao Chen and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 30 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Pairwise Heuristic Sequence Alignment Algorithm Based on Deep Reinforcement Learning.IEEE open journal of engineering in medicine and biology · 2021
    Article
  5. Review
  6. Article
  7. Article
  8. The mammalian molybdenum enzymes of mARC.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2015
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. 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 1 country.

Xianfeng ChenThe Key Laboratory of Stem Cell Biology, Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Xinlei Li
Ping Wang
Yang Liu
Zhenguo Zhang
Guoping Zhao
Haiming Xu
Jun Zhu
Xueying Qin
Suchao Chen
Landian Hu
Xiangyin Kong
Zhejiang University · CNChinese Academy of Sciences · CNShanghai Jiao Tong University · CNChinese National Human Genome Center at Shanghai · CNShanghai Institutes for Biological Sciences · CN

Funding

Laboratory of Molecular Imaging and NanomedicineZIAEB000073 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI CHEN, XIAOYUAN · 2010 to 2020
$32.8M
Wellcome Trust
6 · The paper itself

Abstract

backgroundCopy number variations (CNV) are important causal genetic variations for human disease; however, the lack of a statistical model has impeded the systematic testing of CNVs associated with disease in large-scale cohort. METHODOLOGY/PRINCIPAL

findingsHere, we developed a novel integrated strategy to test CNV-association in genome-wide case-control studies. We converted the single-nucleotide polymorphism (SNP) signal to copy number states using a well-trained hidden Markov model. We mapped the susceptible CNV-loci through SNP site-specific testing to cope with the physiological complexity of CNVs. We also ensured the credibility of the associated CNVs through further window-based CNV-pattern clustering. Genome-wide data with seven diseases were used to test our strategy and, in total, we identified 36 new susceptible loci that are associated with CNVs for the seven diseases: 5 with bipolar disorder, 4 with coronary artery disease, 1 with Crohn's disease, 7 with hypertension, 9 with rheumatoid arthritis, 7 with type 1 diabetes and 3 with type 2 diabetes. Fifteen of these identified loci were validated through genotype-association and physiological function from previous studies, which provide further confidence for our results. Notably, the genes associated with bipolar disorder converged in the phosphoinositide/calcium signaling, a well-known affected pathway in bipolar disorder, which further supports that CNVs have impact on bipolar disorder. CONCLUSIONS/SIGNIFICANCE: Our results demonstrated the effectiveness and robustness of our CNV-association analysis and provided an alternative avenue for discovering new associated loci of human diseases.

Indexed as

DNA Copy Number VariationsCase-Control StudiesComputational BiologyDiseaseGene DosageGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single Nucleotide

Identifiers

PMID20808825
PMCPMC2924882
OpenAlexW2035321983

What OpenQuestion 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 OpenQuestion graph.