Evidence map›Paper›PMID 20331781›Full record

ArticleMolecular ecology2010

Key considerations for measuring allelic expression on a genomic scale using high-throughput sequencing.

Pierre Fontanillas, Christian R Landry, Patricia J Wittkopp, Carsten Russ, Jonathan D Gruber, Chad Nusbaum, Daniel L Hartl

Open access · bronzeAbstract read
In one paragraph

Article in Molecular ecology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

44 citing papers in PubMed, 80 citations in OpenAlex.

  1. bioRxiv : the preprint server for biology · 2026
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  3. Mechanisms of transcriptional regulation inProceedings. Biological sciences · 2024
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  4. Mechanisms of transcriptional regulation inbioRxiv : the preprint server for biology · 2023
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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

7 authors at 5 institutions in 3 countries.

Pierre FontanillasDepartment of Ecology and Evolution, University of Lausanne, Switzerland. pierre.fontanillas@unil.ch
Christian R Landry
Patricia J Wittkopp
Carsten Russ
Jonathan D Gruber
Chad Nusbaum
Daniel L Hartl
Broad Institute · USUniversity of Michigan–Ann Arbor · USHarvard University · USUniversité Laval · CAUniversity of Lausanne · CH

Funding

Evolution of Genome IncompatibilitiesR01GM065169 · NIGMS · HARVARD UNIVERSITY · PI HARTL, DANIEL L · 2003 to 2011
$2.5M
Evolutionary Genomics of DrosophilaR01GM068465 · NIGMS · HARVARD UNIVERSITY · PI HARTL, DANIEL L · 2004 to 2007
$1.3M
Novel genomic effects of Y-linked polymorphismsR01GM084236 · NIGMS · HARVARD UNIVERSITY · PI HARTL, DANIEL L · 2009 to 2012
$1.2M
NIGMS NIH HHS GM065169NIGMS NIH HHS GM068465NIGMS NIH HHS R01 GM065169NIGMS NIH HHS R01 GM068465NIGMS NIH HHS R01 GM084236
6 · The paper itself

Abstract

Differences in gene expression are thought to be an important source of phenotypic diversity, so dissecting the genetic components of natural variation in gene expression is important for understanding the evolutionary mechanisms that lead to adaptation. Gene expression is a complex trait that, in diploid organisms, results from transcription of both maternal and paternal alleles. Directly measuring allelic expression rather than total gene expression offers greater insight into regulatory variation. The recent emergence of high-throughput sequencing offers an unprecedented opportunity to study allelic transcription at a genomic scale for virtually any species. By sequencing transcript pools derived from heterozygous individuals, estimates of allelic expression can be directly obtained. The statistical power of this approach is influenced by the number of transcripts sequenced and the ability to unambiguously assign individual sequence fragments to specific alleles on the basis of transcribed nucleotide polymorphisms. Here, using mathematical modelling and computer simulations, we determine the minimum sequencing depth required to accurately measure relative allelic expression and detect allelic imbalance via high-throughput sequencing under a variety of conditions. We conclude that, within a species, a minimum of 500-1000 sequencing reads per gene are needed to test for allelic imbalance, and consequently, at least five to 10 millions reads are required for studying a genome expressing 10 000 genes. Finally, using 454 sequencing, we illustrate an application of allelic expression by testing for cis-regulatory divergence between closely related Drosophila species.

Indexed as

AllelesModels, StatisticalAnimalsComputer SimulationDrosophilaGene ExpressionGene LibraryGenomicsPolymorphism, Single NucleotideSequence Analysis, DNA

Identifiers

PMID20331781
PMCPMC3217793
OpenAlexW2168365989

What OpenQuestion holds

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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.