Evidence map›Paper›PMID 24374355›Full record

ArticleGenetics2014

An evaluation of high-throughput approaches to QTL mapping in Saccharomyces cerevisiae.

Stefan Wilkening, Gen Lin, Emilie S Fritsch, Manu M Tekkedil, Simon Anders, Raquel Kuehn, Michelle Nguyen, Raeka S Aiyar, Michael Proctor, Nikita A Sakhanenko and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
6.5field-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

47 citing papers in PubMed, 87 citations in OpenAlex.

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  16. History and Domestication ofFrontiers in genetics · 2020
    Review
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  19. Detecting genetic interactions using parallel evolution in experimental populations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    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

14 authors at 3 institutions in 3 countries.

Stefan WilkeningEuropean Molecular Biology Laboratory, Genome Biology Unit, 69117 Heidelberg, Germany.
Gen Lin
Emilie S Fritsch
Manu M Tekkedil
Simon Anders
Raquel Kuehn
Michelle Nguyen
Raeka S Aiyar
Michael Proctor
Nikita A Sakhanenko
David J Galas
Julien Gagneur
Adam Deutschbauer
Lars M Steinmetz
European Molecular Biology Laboratory · DEPacific Northwest Diabetes Research Institute · USLawrence Berkeley National Laboratory · US

Funding

Quantitative Trait Dissection by Reciprocal HemizygosityR01GM068717 · NIGMS · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE · 2003 to 2014
$6.5M
NIGMS NIH HHS R01 GM068717
6 · The paper itself

Abstract

Dissecting the molecular basis of quantitative traits is a significant challenge and is essential for understanding complex diseases. Even in model organisms, precisely determining causative genes and their interactions has remained elusive, due in part to difficulty in narrowing intervals to single genes and in detecting epistasis or linked quantitative trait loci. These difficulties are exacerbated by limitations in experimental design, such as low numbers of analyzed individuals or of polymorphisms between parental genomes. We address these challenges by applying three independent high-throughput approaches for QTL mapping to map the genetic variants underlying 11 phenotypes in two genetically distant Saccharomyces cerevisiae strains, namely (1) individual analysis of >700 meiotic segregants, (2) bulk segregant analysis, and (3) reciprocal hemizygosity scanning, a new genome-wide method that we developed. We reveal differences in the performance of each approach and, by combining them, identify eight polymorphic genes that affect eight different phenotypes: colony shape, flocculation, growth on two nonfermentable carbon sources, and resistance to two drugs, salt, and high temperature. Our results demonstrate the power of individual segregant analysis to dissect QTL and address the underestimated contribution of interactions between variants. We also reveal confounding factors like mutations and aneuploidy in pooled approaches, providing valuable lessons for future designs of complex trait mapping studies.

Indexed as

Quantitative Trait LociAneuploidyChromosome MappingGenetic VariationGenome, FungalGenomicsMutationPhenotypeSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSaccharomyces cerevisiae Proteinsbulk segregant analysisindividual segregant analysisnext generation sequencingQTL mappingreciprocal hemizygosity scanningyeast

Identifiers

PMID24374355
PMCPMC3948811
OpenAlexW2132579058

What OpenQuestion holds

Textmetadata
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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.