Evidence map›Paper›PMID 41580966›Full record

ArticleBioinformatics (Oxford, England)2026

Othram maps: a graph-powered platform for pedigree visualization and forensic intelligence.

Stephen Newman, Bruce Budowle, Kristen Mittelman, David Mittelman

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2026. 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
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.

  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

4 authors.

Stephen NewmanOthram Inc., The Woodlands, TX 77381, United States.
Bruce BudowleOthram Inc., The Woodlands, TX 77381, United States.
Kristen MittelmanOthram Inc., The Woodlands, TX 77381, United States.
David MittelmanOthram Inc., The Woodlands, TX 77381, United States.ORCID 0009-0008-6087-6617

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationForensic genetic genealogy (FGG) requires building and interpreting complex family trees that integrate genetic, genealogical, and contextual metadata to associate unknown donors of forensic evidence with reference samples of potential relatives. Existing genealogy platforms are not optimized for forensic workflows, lack scalable infrastructure for large pedigree trees, and pose usability challenges in investigative settings. Othram Maps is a graph-powered platform for generating, ranking, and visualizing genealogical hypotheses. It was developed to support forensic investigations but also has applications in adjacent domains such as biomedical research and genetic epidemiology.

resultsOthram Maps is a graph-powered web platform designed for forensic intelligence applications. Unlike traditional tree tools, it uses a flexible graph architecture that enables dynamic visualization and exploration of family trees of any size or structure encountered in forensic genetic genealogy. A custom load-on-demand engine supports smooth navigation of trees with thousands of individuals, while global and detailed views provide scalable, real-time interactivity for collaborative casework. Othram Maps is actively used by genetic genealogists and forensic practitioners to identify human remains and investigate unsolved violent crimes. AVAILABILITY AND IMPLEMENTATION: Othram Maps is freely available at https://maps.othram.com. The platform is fully web-based and runs on all modern desktop and mobile browsers without the need for installation. It is compatible with most current mobile devices, enabling secure, on-the-go access for field or collaborative work. Additional information on the platform's features, functionality, and algorithms is provided in the Methods, available as supplementary data at Bioinformatics online.

Indexed as

Forensic GeneticsPedigreeSoftwareHumansInternet

Identifiers

PMID41580966
PMCPMC12883083

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.