Evidence map›Paper›PMID 42494784›Full record

ArticleComputational and structural biotechnology journal2026

GenRiskPro: A Comprehensive Whole-Genome Sequencing Analysis Platform for Clinical and Wellness Applications.

Xiya Song, Xinmeng Liao, Emre Green, Ozlem Altay, Hasan Turkez, Jens Nielsen, Minho Shong, Gözde Yeşil, Bayram Yuksel, Mathias Uhlen and 2 more

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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.

Xiya SongScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm SE-17165, Sweden.
Xinmeng LiaoScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm SE-17165, Sweden.ORCID https://orcid.org/0009-0003-1654-5216
Emre GreenScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm SE-17165, Sweden.
Ozlem AltayScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm SE-17165, Sweden.
Hasan TurkezDepartment of Medical Biology, Faculty of Medicine, Atatürk University, Erzurum 25240, Turkiye.
Jens NielsenBioInnovation Institute, DK2200 Copenhagen, Denmark.
Minho ShongGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
Gözde YeşilPhenome Omics R&D, Mehmet Ali Aydinlar Acibadem University, Istanbul, Turkiye.ORCID https://orcid.org/0000-0003-1964-6306
Bayram YukselPhenome Omics R&D, Mehmet Ali Aydinlar Acibadem University, Istanbul, Turkiye.ORCID https://orcid.org/0009-0009-4110-8775
Mathias UhlenScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm SE-17165, Sweden.
Cheng ZhangScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm SE-17165, Sweden.
Adil MardinogluScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm SE-17165, Sweden.ORCID https://orcid.org/0000-0002-4254-6090

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite rapid advances in whole-genome sequencing (WGS), translating genomic findings into individualized insights remains challenging. We present GenRiskPro, a clinical decision-support and research platform, which automates WGS variant calling, annotation, prioritization, and reporting to deliver actionable findings and facilitate precision wellness. (To test the GenRiskPro platform, log on to https://www.phenomeportal.org/dashboard using the following credentials: Username: user@test.com; Password: test.) GenRiskPro integrates rare and common variant prioritization in a unified pipeline and in-house database, enabling both rare and complex disease and trait association analyses. Variant reporting is supported via LongevityCloud, which features a web portal for clinicians to review, adjust, and authorize the return of results in tabular and PDF formats, alongside a mobile app with artificial intelligence (AI) integration for sequenced individuals. Case studies using Turkish (TR,

Identifiers

PMID42494784
PMCPMC13394978

What OpenQuestion holds

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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.