Evidence map›Paper›PMID 25577610›Full record

ArticleComputers in biology and medicine2015

Cladograms with Path to Event (ClaPTE): a novel algorithm to detect associations between genotypes or phenotypes using phylogenies.

Samuel K Handelman, Jacob M Aaronson, Michal Seweryn, Igor Voronkin, Jesse J Kwiek, Wolfgang Sadee, Joseph S Verducci, Daniel A Janies

Open access · greenAbstract read
In one paragraph

Article in Computers in biology and medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 94% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

8 authors at 2 institutions in 1 country.

Samuel K HandelmanDepartment of Pharmacology, Ohio State University College of Medicine, 5072 Graves Hall, 333 West 10th Avenue, Columbus, OH 43210, United States; Mathematical Biosciences Institute, The Ohio State University, Jennings Hall 3rd Floor, 1735 Neil Avenue, Columbus, OH 43210, United States. Electronic address: handelman.9@osu.edu.
Jacob M AaronsonDepartment of Biomedical Informatics, Ohio State University College of Medicine, 3190 Graves Hall, 333 West 10th Avenue, Columbus, OH 43210, United States.
Michal SewerynMathematical Biosciences Institute, The Ohio State University, Jennings Hall 3rd Floor, 1735 Neil Avenue, Columbus, OH 43210, United States.
Igor VoronkinDepartment of Biomedical Informatics, Ohio State University College of Medicine, 3190 Graves Hall, 333 West 10th Avenue, Columbus, OH 43210, United States.
Jesse J KwiekDepartment of Microbial Infection & Immunity and Department of Microbiology, The Ohio State University, 788 Biomedical Research Tower, 460 West 12th Avenue, Columbus, OH 43210, United States.
Wolfgang SadeeDepartment of Pharmacology, Ohio State University College of Medicine, 5072 Graves Hall, 333 West 10th Avenue, Columbus, OH 43210, United States.
Joseph S VerducciDepartment of Statistics, The Ohio State University, 404 Cockins Hall, 1958 Neil Avenue, Columbus, OH 43210-1247, United States.
Daniel A JaniesDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC 28223-0001, United States.
The Ohio State University · USUniversity of North Carolina at Charlotte · US

Funding

Expression Genetics in Drug TherapyU01GM092655 · NIGMS · OHIO STATE UNIVERSITY · PI SADEE, WOLFGANG · 2010 to 2014
$8.6M
Viral and Placental Determinants of HIV-1 Subtype C Mother-to-Child TransmissionR00HD056586 · NICHD · OHIO STATE UNIVERSITY · PI KWIEK, JESSE J · 2007 to 2008
$497k
NICHD NIH HHS R00 HD056586NICHD NIH HHS R00HD05686NIGMS NIH HHS U01 GM092655PHS HHS U01092655
6 · The paper itself

Abstract

backgroundAssociations between genotype and phenotype provide insight into the evolution of pathogenesis, drug resistance, and the spread of pathogens between hosts. However, common ancestry can lead to apparent associations between biologically unrelated features. The novel method Cladograms with Path to Event (ClaPTE) detects associations between character-pairs (either a pair of mutations or a mutation paired with a phenotype) while adjusting for common ancestry, using phylogenetic trees.

methodsClaPTE tests for character-pairs changing close together on the phylogenetic tree, consistent with an associated character-pair. ClaPTE is compared to three existing methods (independent contrasts, mixed model, and likelihood ratio) to detect character-pair associations adjusted for common ancestry. Comparisons utilize simulations on gene trees for: HIV Env, HIV promoter, and bacterial DnaJ and GuaB; and case studies for Oseltamavir resistance in Influenza, and for DnaJ and GuaB. Simulated data include both true-positive/associated character-pairs, and true-negative/not-associated character-pairs, used to assess type I (frequency of p-values in true-negatives) and type II (sensitivity to true-positives) error control. RESULTS AND

conclusionsClaPTE has competitive sensitivity and better type I error control than existing methods. In the Influenza/Oseltamavir case study, ClaPTE reports no new permissive mutations but detects associations between adjacent (in primary sequence) amino acid positions which other methods miss. In the DnaJ and GuaB case study, ClaPTE reports more frequent associations between positions both from the same protein family than between positions from different families, in contrast to other methods. In both case studies, the results from ClaPTE are biologically plausible.

Indexed as

AlgorithmsModels, GeneticPhylogenyComputational BiologyEvolution, MolecularGenotypeInfluenza A Virus, H1N1 SubtypePhenotypeProteinsProteinsCorrelated evolutionDrug resistanceGenetic simulationGenotype-phenotype associationHIV evolutionInfluenza evolutionPhylogeneticsProtein evolution

Identifiers

PMID25577610
PMCPMC4331246
OpenAlexW1966900778

What OpenQuestion holds

Textmetadata
LicenceTDM
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.