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

dc.contributor.authorSong, Xiya
dc.contributor.authorLiao, Xinmeng
dc.contributor.authorGreen, Emre
dc.contributor.authorAltay, Ozlem
dc.contributor.authorTurkez, Hasan
dc.contributor.authorNielsen, Jens
dc.contributor.authorShong, Minho
dc.contributor.authorYesil, Gozde
dc.contributor.authorYuksel, Bayram
dc.contributor.authorUhlen, Mathias
dc.contributor.authorZhang, Cheng
dc.contributor.authorMardinoglu, Adil
dc.date.accessioned2026-11-05T11:05:36Z
dc.date.issued2026
dc.description.abstractDespite 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, n = 275) and Swedish (SW, n = 101) WGS data assessed platform performance and variant prioritization: (a) predefined gene panels yielded a 1.82% positive rate for actionable findings per American College of Medical Genetics and Genomics (ACMG) secondary findings guidelines; (b) phenotype-driven support diagnosed cases including muscular dystrophy and microcephaly; (c) cohort-level ClinVar reassessment identified potentially misclassified pathogenic variants; (d) rare variant burden analysis revealed enrichment in ABCA4 for TR and SMPD1 in SW; and (e) population analysis highlighted carrier differences in trait-associated SNPs (rs12913832 and rs4988235) and PGx variants (CYP2B64 and CYP2B66). GenRiskPro unifies databases, literature, web development, and AI for rapid, user-friendly genomic analysis and reporting, which fosters collaboration among hospitals, researchers, clinicians, and patients.
dc.description.issue2
dc.description.pages11
dc.description.sponsorshipThe study is funded by Phenome Longevity, Inc., USA and the Knut and Alice Wallenberg Foundation, Sweden, under project number 72110 (to A.M.).
dc.description.volume35
dc.identifier.doi10.34133/csbj.0011
dc.identifier.issn2001-0370
dc.identifier.urihttps://doi.org/10.34133/csbj.0011
dc.identifier.urihttps://openaccess.acibadem.edu.tr/handle/11443/11323
dc.identifier.wosWOS:001845391100001
dc.language.isoen
dc.publisherAMER ASSOC ADVANCEMENT SCIENCE
dc.relation.fundingKnut och Alice Wallenbergs Stiftelse
dc.relation.fundingKnut och Alice Wallenbergs Stiftelse [CJDB 72110]
dc.relation.hasversion10.34133/csbj.0011
dc.relation.ispartofCOMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
dc.subjectEXOME
dc.subjectACMG
dc.subjectLIST
dc.subjectBiochemistry & Molecular Biology
dc.subjectBiotechnology & Applied Microbiology
dc.titleGenRiskPro: A Comprehensive Whole-Genome Sequencing Analysis Platform for Clinical and Wellness Applications
dc.typeArticle
oaire.citation.editionScience Citation Index Expanded (SCI-EXPANDED)
oaire.citation.issue2
oaire.citation.volume35
person.identifier.ridAAV-8746-2021
person.identifier.ridAAQ-4905-2020
person.identifier.ridAAS-6360-2021
person.identifier.ridL-7906-2016

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