Evidence map›Paper›PMID 19133821›Full record

ArticleZebrafish2008

Skin color in fish and humans: impacts on science and society.

Keith C Cheng

Abstract read
In one paragraph

Article in Zebrafish, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

1 author.

Keith C ChengDepartment of Pathology, Penn State College of Medicine, Hershey, PA, USA.

Funding

Web-based Atlas of Zebrafish Microanatomy as a Community ResourceR24RR017441 · NCRR · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI CHENG, KEITH CHI · 2004 to 2011
$4.3M
Web-based Atlas of Zebrafish Microanatomy as a Community ResourceR24OD011152 · OD · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI CHENG, KEITH CHI · 2012 to 2014
$2.1M
Function of calcium exchangers in vetebrate pigmentationR01AR052535 · NIAMS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI CHENG, KEITH CHI · 2006 to 2010
$1.7M
Genetic analysis of genomic instability and cancer in zebrafishR01CA131956 · NCI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI CHENG, KEITH CHI · 2008 to 2012
$1.5M
NCI NIH HHS R01 CA131956NCRR NIH HHS R24 RR017441NIAMS NIH HHS 1R01 AR 052535NIAMS NIH HHS R01 AR052535NIH HHS R24 OD011152
6 · The paper itself

Abstract

As genetic model systems, fish have played a key role in our understanding of a wide range of biological processes, including vertebrate pigmentation. In this review, we focus on one aspect of pigmentation, skin pigmentation, which has been of momentous importance in human history. Two fish models, medaka and zebrafish, played important roles in demystifying skin color and, by extension, the concept of "race." Related thinking has the potential to make two additional contributions to human welfare. Fish can be used to validate gene candidates from genome-wide association studies (GWAS) in what has been called "Systems Genetics." Because fish are familiar vertebrates, and share genetic mechanisms of skin color with humans, they also have outstanding potential as an educational tool-to "demystify" race, to increase public understanding of the role of model systems and evolution in science, and to enhance appreciation of both genetic and environmental factors that impact human health and society.

Indexed as

AnimalsGene Expression RegulationGuanineHumansMiceOryziasPigments, BiologicalSkin PigmentationZebrafish9-(((ethoxyhydroxyphosphinyl)methoxy)methoxy)guanineGuaninePigments, Biological

Identifiers

PMID19133821
PMCPMC2766632

What OpenQuestion holds

Textmetadata
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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.