Evidence map›Paper›PMID 25232094›Full record

ArticleNucleic acids research2014

Human germline and pan-cancer variomes and their distinct functional profiles.

Yang Pan, Konstantinos Karagiannis, Haichen Zhang, Hayley Dingerdissen, Amirhossein Shamsaddini, Quan Wan, Vahan Simonyan, Raja Mazumder

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

  1. Toll like receptor 4 (TLR4) in neuroinflammation: From acute hemorrhagic stroke to chronic neurodegeneration.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  2. Article
  3. Predictive Analysis and Validation of Critical Missense SNPs of theInternational journal of molecular sciences · 2025
    Review
  4. Article
  5. Mutations inInternational journal of molecular sciences · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Sequence analysis of the ATP synthase of subunits (Mitochondrial DNA. Part B, Resources · 2018
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

8 authors.

Yang PanThe Department of Biochemistry & Molecular Medicine, George Washington University Medical Center, Washington, DC 20037, USA.
Konstantinos KaragiannisThe Department of Biochemistry & Molecular Medicine, George Washington University Medical Center, Washington, DC 20037, USA.
Haichen ZhangThe Department of Biochemistry & Molecular Medicine, George Washington University Medical Center, Washington, DC 20037, USA.
Hayley DingerdissenThe Department of Biochemistry & Molecular Medicine, George Washington University Medical Center, Washington, DC 20037, USA.
Amirhossein ShamsaddiniThe Department of Biochemistry & Molecular Medicine, George Washington University Medical Center, Washington, DC 20037, USA.
Quan WanThe Department of Biochemistry & Molecular Medicine, George Washington University Medical Center, Washington, DC 20037, USA.
Vahan SimonyanCenter for Biologics Evaluation and Research, US Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA.
Raja MazumderThe Department of Biochemistry & Molecular Medicine, George Washington University Medical Center, Washington, DC 20037, USA McCormick Genomic and Proteomic Center, George Washington University, Washington, DC 20037, USA mazumder@gwu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of non-synonymous single nucleotide variations (nsSNVs) has exponentially increased due to advances in Next-Generation Sequencing technologies. The functional impacts of these variations have been difficult to ascertain because the corresponding knowledge about sequence functional sites is quite fragmented. It is clear that mapping of variations to sequence functional features can help us better understand the pathophysiological role of variations. In this study, we investigated the effect of nsSNVs on more than 17 common types of post-translational modification (PTM) sites, active sites and binding sites. Out of 1 705 285 distinct nsSNVs on 259 216 functional sites we identified 38 549 variations that significantly affect 10 major functional sites. Furthermore, we found distinct patterns of site disruptions due to germline and somatic nsSNVs. Pan-cancer analysis across 12 different cancer types led to the identification of 51 genes with 106 nsSNV affected functional sites found in 3 or more cancer types. 13 of the 51 genes overlap with previously identified Significantly Mutated Genes (Nature. 2013 Oct 17;502(7471)). 62 mutations in these 13 genes affecting functional sites such as DNA, ATP binding and various PTM sites occur across several cancers and can be prioritized for additional validation and investigations.

Indexed as

Genes, NeoplasmGenetic VariationAcetylationBinding SitesCatalytic DomainDiseaseGene OntologyGenomicsGlycosylationHumansMethylationMutationNeoplasm ProteinsPhosphorylationPhylogenyProtein Processing, Post-TranslationalNeoplasm ProteinsProteome

Identifiers

PMID25232094
PMCPMC4191387

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.