Evidence map›Paper›PMID 32000841›Full record

ArticleGenome medicine2020

A proactive genotype-to-patient-phenotype map for cystathionine beta-synthase.

Song Sun, Jochen Weile, Marta Verby, Yingzhou Wu, Yang Wang, Atina G Cote, Iosifina Fotiadou, Julia Kitaygorodsky, Marc Vidal, Jasper Rine and 3 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
8.8field-weighted citation impact, top 1% 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

46 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
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  7. Review
  8. Protein structure shapes natural genetic variation andbioRxiv : the preprint server for biology · 2025
    Article
  9. MaveMD: A functional data resource for genomic medicine.medRxiv : the preprint server for health sciences · 2025
    Article
  10. Systematic and proactive evaluation of AIRE missense variant effects.bioRxiv : the preprint server for biology · 2025
    Article
  11. Review
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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

13 authors at 5 institutions in 4 countries.

Song SunThe Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada.
Jochen WeileThe Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada. jochen.weile@mail.utoronto.ca.
Marta VerbyThe Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada.
Yingzhou WuThe Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada.
Yang WangCenter for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
Atina G CoteThe Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada.
Iosifina FotiadouThe Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada.
Julia KitaygorodskyThe Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada.
Marc VidalCenter for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
Jasper RineCalifornia Institute for Quantitative Biosciences, University of California, Berkeley, CA, 94720, USA.
Pavel JešinaDepartment of Pediatrics and Adolescent Medicine, Charles University, First Faculty of Medicine and General University Hospital in Prague, 128 08, Praha 2, Czech Republic.
Viktor KožichDepartment of Pediatrics and Adolescent Medicine, Charles University, First Faculty of Medicine and General University Hospital in Prague, 128 08, Praha 2, Czech Republic. Viktor.Kozich@vfn.cz.
Frederick P RothThe Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada. fritz.roth@utoronto.ca.ORCID 0000-0002-6628-649X
Mount Sinai Hospital · CACharles University · CZHarvard University · USQB3 · USUppsala University · SE

Funding

Genomic Analysis of Network Perturbations in Human DiseaseP50HG004233 · NHGRI · DANA-FARBER CANCER INST · PI VIDAL, MARC · 2007 to 2017
$31.6M
Technology to understand genetic variant effects in contextRM1HG010461 · NHGRI · UNIVERSITY OF WASHINGTON · PI Douglas M Fowler, Bruce Colston Trapnell · 2019 to 2026
$18.9M
CIHRNHGRI NIH HHS P50 HG004233NHGRI NIH HHS RM1 HG010461the National Human Genome Research Institute of the National Institutes of Health (NIH/NHGRI) Center of Excellence in Genomic Science (CEGS) Initiative HG004233
6 · The paper itself

Abstract

backgroundFor the majority of rare clinical missense variants, pathogenicity status cannot currently be classified. Classical homocystinuria, characterized by elevated homocysteine in plasma and urine, is caused by variants in the cystathionine beta-synthase (CBS) gene, most of which are rare. With early detection, existing therapies are highly effective.

methodsDamaging CBS variants can be detected based on their failure to restore growth in yeast cells lacking the yeast ortholog CYS4. This assay has only been applied reactively, after first observing a variant in patients. Using saturation codon-mutagenesis, en masse growth selection, and sequencing, we generated a comprehensive, proactive map of CBS missense variant function.

resultsOur CBS variant effect map far exceeds the performance of computational predictors of disease variants. Map scores correlated strongly with both disease severity (Spearman's ϱ = 0.9) and human clinical response to vitamin B

conclusionsWe demonstrate that highly multiplexed cell-based assays can yield proactive maps of variant function and patient response to therapy, even for rare variants not previously seen in the clinic.

Indexed as

Mutation, MissenseCystathionine beta-SynthaseGenetic Complementation TestGenetic TestingGenotypeHomocystinuriaHumansPhenotypeSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsCystathionine beta-SynthaseSaccharomyces cerevisiae Proteins

Identifiers

PMID32000841
PMCPMC6993387
OpenAlexW3011567635

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.