Evidence map›Paper›PMID 26076732›Full record

ArticleBMC research notes2015

Genetic ME-a visualization application for merging and editing pedigrees for genetic studies.

Diem K Bui, Yingda Jiang, Xin Wei, Maria C Ortube, Daniel E Weeks, Yvette P Conley, Michael B Gorin

Abstract read
In one paragraph

Article in BMC research notes, 2015. 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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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Diem K BuiDepartment of Ophthalmology, David Geffen School of Medicine-UCLA, Los Angeles, CA, 90095, USA. diem.k.bui@gmail.com.
Yingda JiangDepartment of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA. yij5@pitt.edu.
Xin WeiDepartment of Ophthalmology, David Geffen School of Medicine-UCLA, Los Angeles, CA, 90095, USA. xinwei91@gmail.com.
Maria C OrtubeDepartment of Ophthalmology, David Geffen School of Medicine-UCLA, Los Angeles, CA, 90095, USA. Ortube@jsei.ucla.edu.
Daniel E WeeksDepartment of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA. weeks@pitt.edu.
Yvette P ConleyDepartment of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA. yconley@pitt.edu.
Michael B GorinDepartment of Ophthalmology, David Geffen School of Medicine-UCLA, Los Angeles, CA, 90095, USA. Gorin@jsei.ucla.edu.

Funding

GENETICS OF AGE-RELATED MACULOPATHYR01EY009859 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GORIN, MICHAEL B · 1993 to 2011
$11.5M
Mega2: Manipulation Environment for Genetic AnalysesR01GM076667 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WEEKS, DANIEL E · 2006 to 2018
$3.2M
NEI NIH HHS R01 EY009859NEI NIH HHS R01 EY09859NIGMS NIH HHS R01 GM076667
6 · The paper itself

Abstract

backgroundIn order to study the genetics of diseases more accurately and effectively, one often collects large families. Different members of a large family may provide differing information about the structure and make-up of their pedigree. Thus, software is needed to facilitate reconciliation of pedigrees collected independently from multiple informants from a single large family to create a unified pedigree that is based on the best composite information available.

findingsOur implementation demonstrates that Genetic ME performs merging in terms of adding, replacing and combining information from two pedigrees. Through a tracking process, all of the changes made to the data set for the individuals can be traced back to their original source material. A new pedigree structure can be easily visualized while reconciling disparate information from multiple pedigrees.

methodsWe developed the Genetic Merging & Editing (Genetic ME) program, an open source Java application built on top of CraneFoot and Ghostscript, to support comparing, editing and merging of pedigrees collected from multiple sources in a visually-oriented manner.

conclusionsGenetic ME constitutes an ideal addition to software packages for reconciling pedigree information from multiple sources. Genetic ME provides a friendly graphical user interface, traces the changes made by users, and produces viewable merged pedigree structures able to be further used by other popular analysis programs.

Indexed as

Models, GeneticPedigreeUser-Computer InterfaceAlgorithmsComputer GraphicsFemaleGenetic LinkageHumansMale

Identifiers

PMID26076732
PMCPMC4478623

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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.