Evidence map›Paper›PMID 35737451›Full record

ArticleJMIR formative research2022

Mobile-Based and Self-Service Tool (iPed) to Collect, Manage, and Visualize Pedigree Data: Development Study.

Chen Sun, Jing Xu, Junxian Tao, Yu Dong, Haiyan Chen, Zhe Jia, Yingnan Ma, Mingming Zhang, Siyu Wei, Guoping Tang and 2 more

Abstract read
In one paragraph

Article in JMIR formative research, 2022. 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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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Chen Sun *College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0003-1017-2255
Jing Xu *College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0003-2249-8316
Junxian Tao *College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0002-6992-0716
Yu DongCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0003-4891-0815
Haiyan ChenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0002-1768-6825
Zhe JiaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0003-4440-0236
Yingnan MaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0001-9975-0044
Mingming ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0001-6179-8544
Siyu WeiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0002-7611-4528
Guoping TangThe Fourth Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China.ORCID https://orcid.org/0000-0002-9378-3547
Hongchao LyuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0002-7748-7844
Yongshuai JiangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0002-7163-6554

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPedigree data (family history) are indispensable for genetics studies and the assessment of individuals' disease susceptibility. With the popularity of genetics testing, the collection of pedigree data is becoming more common. However, it can be time-consuming, laborious, and tedious for clinicians to investigate all pedigree data for each patient. A self-service robot could inquire about patients' family history in place of professional clinicians or genetic counselors.

objectiveThe aim of this study was to develop a mobile-based and self-service tool to collect and visualize pedigree data, not only for professionals but also for those who know little about genetics.

methodsThere are 4 main aspects in the iPed construction, including interface building, data processing, data storage, and data visualization. The user interface was built using HTML, JavaScript libraries, and Cascading Style Sheets (version 3; Daniel Eden). Processing of the submitted data is carried out by PHP programming language. MySQL is used to document and manage the pedigree data. PHP calls the R script to accomplish the visualization.

resultsiPed is freely available to all users through the iPed website. No software is required to be installed, no pedigree files need to be prepared, and no knowledge of genetics or programs is required. The users can easily complete their pedigree data collection and visualization on their own and through a dialogue with iPed. Meanwhile, iPed provides a database that stores all users' information. Therefore, when the users need to construct new pedigree trees for other genetic traits or modify the pedigree trees that have already been created, unnecessary duplication of operations can be avoided.

conclusionsiPed is a mobile-based and self-service tool that could be used by both professionals and nonprofessionals at any time and from any place. It reduces the amount of time required to collect, manage, and visualize pedigree data.

Indexed as

mobile-basedpedigreepedigree dataself-servicevisualization

Identifiers

PMID35737451
PMCPMC9264120

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LicenceCC BY
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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.