Evidence map›Paper›PMID 19052777›Full record

ArticleHuman genetics2009

Identification of common genetic variants that account for transcript isoform variation between human populations.

Wei Zhang, Shiwei Duan, Wasim K Bleibel, Steven A Wisel, R Stephanie Huang, Xiaolin Wu, Lijun He, Tyson A Clark, Tina X Chen, Anthony C Schweitzer and 3 more

Open access · greenAbstract read
In one paragraph

Article in Human genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

60 citing papers in PubMed, 84 citations in OpenAlex.

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  4. The roles of RNA processing in translating genotype to phenotype.Nature reviews. Molecular cell biology · 2017
    Review
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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

13 authors at 1 institution in 1 country.

Wei ZhangSection of Hematology/Oncology, Department of Medicine, The University of Chicago, Box MC6091, 5841 S. Maryland Ave., Chicago, IL 60637, USA. wzhang1@uchicago.edu
Shiwei Duan
Wasim K Bleibel
Steven A Wisel
R Stephanie Huang
Xiaolin Wu
Lijun He
Tyson A Clark
Tina X Chen
Anthony C Schweitzer
John E Blume
M Eileen Dolan
Nancy J Cox
University of Chicago · US

Funding

Whole GenomeU01GM061393 · NIGMS · UNIVERSITY OF CHICAGO · PI RATAIN, MARK J · 2000 to 2014
$39.0M
THE STANFORD PHARMACOGENETICS KNOWLEDGE BASEU01GM061374 · NIGMS · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO · 2000 to 2009
$24.0M
NIGMS NIH HHS U01 GM061374NIGMS NIH HHS U01 GM061393NIGMS NIH HHS U01 GM61374NIGMS NIH HHS U01 GM61393
6 · The paper itself

Abstract

In addition to the differences between populations in transcriptional and translational regulation of genes, alternative pre-mRNA splicing (AS) is also likely to play an important role in regulating gene expression and generating variation in mRNA and protein isoforms. Recently, the genetic contribution to transcript isoform variation has been reported in individuals of recent European descent. We report here results of an investigation of the differences in AS patterns between human populations. AS patterns in 176 HapMap lymphoblastoid cell lines derived from individuals of European and African ancestry were evaluated using the Affymetrix GeneChip Human Exon 1.0 ST Array. A variety of biological processes such as response to stimulus and transcription were found to be enriched among the differentially spliced genes. The differentially spliced genes also include some involved in human diseases that have different prevalence or susceptibility between populations. The genetic contribution to the population differences in transcript isoform variation was then evaluated by a genome-wide association using the HapMap genotypic data on single nucleotide polymorphisms (SNPs). The results suggest that local and distant genetic variants account for a substantial fraction of the observed transcript isoform variation between human populations. Our findings provide new insights into the complexity of the human genome as well as the health disparities between the two populations.

Indexed as

Alternative SplicingGenome, HumanPolymorphism, Single NucleotideBlack PeopleCluster AnalysisGenetics, PopulationHumansOligonucleotide Array Sequence AnalysisProtein IsoformsWhite PeopleProtein Isoforms

Identifiers

PMID19052777
PMCPMC2665168
OpenAlexW2129523542

What OpenQuestion holds

Textmetadata
LicenceTDM
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.