Evidence map›Paper›PMID 31054809›Full record

ArticleCell systems2019

Molecular Origins of Complex Heritability in Natural Genotype-to-Phenotype Relationships.

Christopher M Jakobson, Daniel F Jarosz

Abstract read
In one paragraph

Article in Cell systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. AScience signaling · 2026
    Article
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  18. Review
  19. CompensatoryEvolution letters · 2019
    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

2 authors.

Christopher M JakobsonDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Daniel F JaroszDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: jarosz@stanford.edu.

Funding

Protein-based Molecular Memories in Gene Regulation, Disease, and DevelopmentDP2GM119140 · NIGMS · STANFORD UNIVERSITY · PI JAROSZ, DANIEL · 2015 to 2015
$2.4M
Quantitative analysis of the evolving genotype-to-phenotype mapR00GM098600 · NIGMS · STANFORD UNIVERSITY · PI JAROSZ, DANIEL · 2013 to 2015
$728k
Using self-templating proteins to spatiotemporally organize biochemistryF32GM125162 · NIGMS · STANFORD UNIVERSITY · PI JAKOBSON, CHRISTOPHER MATTHEW · 2017 to 2019
$179k
Quantitative analysis of the evolving genotype-to-phenotype mapK99GM098600 · NIGMS · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI JAROSZ, DANIEL · 2011 to 2012
$134k
NIGMS NIH HHS DP2 GM119140NIGMS NIH HHS F32 GM125162NIGMS NIH HHS K99 GM098600NIGMS NIH HHS R00 GM098600
6 · The paper itself

Abstract

The statistical complexity of heredity has long been evident, but its molecular origins remain elusive. To investigate, we charted 90 comprehensive genotype-to-phenotype maps in a large population of wild diploid yeast. In contrast to long-standing assumptions, all types of genetic variation contributed similarly to phenotype. Causal synonymous and regulatory variants exhibited distinct molecular signatures, as did nonlinearities in heterozygote fitness that likely contribute to hybrid vigor. Highly pleiotropic variants altered disordered sequences within signaling hubs, and their effects correlated across environments-even when antagonistic-suggesting that large fitness gains bring concomitant costs. Natural genetic networks defined by the causal loci differed from those determined by precise gene deletions or protein-protein interactions. Finally, we found that traits that would appear omnigenic in less powered studies do in fact have finite genetic determinants. Integrating these molecular principles will be crucial as genome reading and writing become routine in research, industry, and medicine.

Indexed as

Chromosome MappingDiploidyGene Regulatory NetworksGenetic Association StudiesGenotypeModels, GeneticPhenotypePolymorphism, Single NucleotideQuantitative Trait LociSaccharomyces cerevisiaeSystems BiologyYeastscomplex traitsfunctional genomicsquantitative geneticssystems genetics

Identifiers

PMID31054809
PMCPMC6560647

What OpenQuestion holds

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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.