Evidence map›Paper›PMID 28455350›Full record

ArticleGenetics2017

The Genomic Architecture of Flowering Time Varies Across Space and Time in

Patrick J Monnahan, John K Kelly

Abstract read
In one paragraph

Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

2 authors.

Patrick J MonnahanDepartment of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas 66045 Patrick.Monnahan@jic.ac.uk.ORCID 0000-0002-3022-8191
John K KellyDepartment of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas 66045.

Funding

Genomic Analysis of Complex Trait Variation in MimulusR01GM073990 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI KELLY, JOHN K · 2006 to 2015
$2.6M
NIGMS NIH HHS R01 GM073990
6 · The paper itself

Abstract

The degree to which genomic architecture varies across space and time is central to the evolution of genomes in response to natural selection. Bulked-segregant mapping combined with pooled sequencing provides an efficient means to estimate the effect of genetic variants on quantitative traits. We develop a novel likelihood framework to identify segregating variation within multiple populations and generations while accommodating estimation error on a sample- and SNP-specific basis. We use this method to map loci for flowering time within natural populations of

Indexed as

Genome, PlantPolymorphism, Single NucleotideEcosystemFlowersGenetic HeterogeneityMimulusQuantitative Trait Lociflowering timegenomic mappingMimulusnatural variationwithin-population

Identifiers

PMID28455350
PMCPMC5500155

What OpenQuestion holds

Textmetadata
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.