Evidence map›Paper›PMID 39605464›Full record

ArticlebioRxiv : the preprint server for biology2024

Epistasis and cryptic QTL identified using modified bulk segregant analysis of copper resistance in budding yeast.

Cassandra Buzby, Yevgeniy Plavskin, Federica M O Sartori, Qiange Tong, Janessa K Vail, Mark L Siegal

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Cassandra BuzbyDepartment of Biology, New York University, New York, NY, USA.ORCID 0000-0003-2866-9526
Yevgeniy PlavskinDepartment of Biology, New York University, New York, NY, USA.ORCID 0000-0002-6911-3009
Federica M O SartoriDepartment of Biology, New York University, New York, NY, USA.
Qiange TongDepartment of Biology, New York University, New York, NY, USA.
Janessa K VailDepartment of Biology, New York University, New York, NY, USA.
Mark L SiegalDepartment of Biology, New York University, New York, NY, USA.ORCID 0000-0001-6930-2988

Funding

The Quantitative Biological Systems Training (QBIST) ProgramT32GM132037 · NIGMS · NEW YORK UNIVERSITY · PI David Gresham, Christine Vogel · 2019 to 2026
$2.3M
Genetic and Nongenetic Variation in Complex TraitsR35GM148344 · NIGMS · NEW YORK UNIVERSITY · PI Mark L Siegal · 2023 to 2026
$1.7M
NIGMS NIH HHS R35 GM148344NIGMS NIH HHS T32 GM132037
6 · The paper itself

Abstract

The contributions of genetic interactions to natural trait variation are challenging to estimate experimentally, as current approaches for detecting epistasis are often underpowered. Powerful mapping approaches such as bulk segregant analysis, wherein individuals with extreme phenotypes are pooled for genotyping, obscure epistasis by averaging over genotype combinations. To accurately characterize and quantify epistasis underlying natural trait variation, we have engineered strains of the budding yeast

Identifiers

PMID39605464
PMCPMC11601411

What OpenQuestion holds

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Registered trials

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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.