Evidence map›Paper›PMID 23755063›Full record

ArticleFrontiers in genetics2012

Bridging the Gap between Genotype and Phenotype via Network Approaches.

Yoo-Ah Kim, Teresa M Przytycka

Abstract read
In one paragraph

Article in Frontiers in genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. GAL Regulon in the YeastFrontiers in molecular biosciences · 2022
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Causal phenotypic networks for egg traits in an FMolecular genetics and genomics : MGG · 2019
    Article
  14. Article
  15. Applications of molecular networks in biomedicine.Biology methods & protocols · 2019
    Review
  16. Review
  17. Article
  18. Article
  19. RNA sequencing of archived neonatal dried blood spots.Molecular genetics and metabolism reports · 2017
    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

2 authors.

Yoo-Ah KimNational Center for Biotechnology Information, National Institutes of Health, National Library of Medicine Bethesda, MD, USA.
Teresa M Przytycka

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last few years we have witnessed tremendous progress in detecting associations between genetic variations and complex traits. While genome-wide association studies have been able to discover genomic regions that may influence many common human diseases, these discoveries created an urgent need for methods that extend the knowledge of genotype-phenotype relationships to the level of the molecular mechanisms behind them. To address this emerging need, computational approaches increasingly utilize a pathway-centric perspective. These new methods often utilize known or predicted interactions between genes and/or gene products. In this review, we survey recently developed network based methods that attempt to bridge the genotype-phenotype gap. We note that although these methods help narrow the gap between genotype and phenotype relationships, these approaches alone cannot provide the precise details of underlying mechanisms and current research is still far from closing the gap.

Indexed as

cancercomplexcomplex diseasesgene expressiongenotype-phenotype relationinformation flownetworks

Identifiers

PMID23755063
PMCPMC3668153

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.