Evidence map›Paper›PMID 28186960›Full record

ArticleStatistical applications in genetics and molecular biology2017

Polyunphased: an extension to polytomous outcomes of the Unphased package for family-based genetic association analysis.

Alexandre Bureau, Jordie Croteau

Abstract read
In one paragraph

Article in Statistical applications in genetics and molecular biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Alexandre Bureau
Jordie Croteau

Funding

CIHR 106448-1CIHR MOP-106448CIHR MOP-114988CIHR MOP-119408CIHR MOP-74430
6 · The paper itself

Abstract

Polytomous phenotypes arise when a disease has multiple subtypes or when two dichotomous phenotypes are analyzed simultaneously. Few software programs offer the option to analyze such phenotypes in family studies, and none implements conditional polytomous logistic regression for within-family analysis robust to population stratification. We introduce Polyunphased, an extension to polytomous phenotypes of the Unphased package, a flexible software tool for genetic association analysis in nuclear families. Like Unphased, Polyunphased is written in C++ and runs from the command line or from a Java graphical user interface. Most Unphased options remain available in Polyunphased, including those handling missing parental genotypes while preserving robustness to population stratification, and the modelling options. Simulation studies confirmed the expected statistical behaviour of the maximum likelihood estimates of the association parameters of the conditional logistic regression model when the corresponding association parameters in the parental term of the likelihood function are set to 0, but revealed convergence problems when estimating these parental association parameters separately. The former approach is thus recommended with polytomous phenotypes.

Indexed as

GenotypeModels, GeneticComputer SimulationFamily HealthGenetic Association StudiesHumansLikelihood FunctionsLogistic ModelsPhenotype

Identifiers

PMID28186960
PMCPMC5576982

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.