GenRiskPro: A Comprehensive Whole-Genome Sequencing Analysis Platform for Clinical and Wellness Applications
| dc.contributor.author | Song, Xiya | |
| dc.contributor.author | Liao, Xinmeng | |
| dc.contributor.author | Green, Emre | |
| dc.contributor.author | Altay, Ozlem | |
| dc.contributor.author | Turkez, Hasan | |
| dc.contributor.author | Nielsen, Jens | |
| dc.contributor.author | Shong, Minho | |
| dc.contributor.author | Yesil, Gozde | |
| dc.contributor.author | Yuksel, Bayram | |
| dc.contributor.author | Uhlen, Mathias | |
| dc.contributor.author | Zhang, Cheng | |
| dc.contributor.author | Mardinoglu, Adil | |
| dc.date.accessioned | 2026-11-05T11:05:36Z | |
| dc.date.issued | 2026 | |
| dc.description.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, 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.issue | 2 | |
| dc.description.pages | 11 | |
| dc.description.sponsorship | The 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.volume | 35 | |
| dc.identifier.doi | 10.34133/csbj.0011 | |
| dc.identifier.issn | 2001-0370 | |
| dc.identifier.uri | https://doi.org/10.34133/csbj.0011 | |
| dc.identifier.uri | https://openaccess.acibadem.edu.tr/handle/11443/11323 | |
| dc.identifier.wos | WOS:001845391100001 | |
| dc.language.iso | en | |
| dc.publisher | AMER ASSOC ADVANCEMENT SCIENCE | |
| dc.relation.funding | Knut och Alice Wallenbergs Stiftelse | |
| dc.relation.funding | Knut och Alice Wallenbergs Stiftelse [CJDB 72110] | |
| dc.relation.hasversion | 10.34133/csbj.0011 | |
| dc.relation.ispartof | COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL | |
| dc.subject | EXOME | |
| dc.subject | ACMG | |
| dc.subject | LIST | |
| dc.subject | Biochemistry & Molecular Biology | |
| dc.subject | Biotechnology & Applied Microbiology | |
| dc.title | GenRiskPro: A Comprehensive Whole-Genome Sequencing Analysis Platform for Clinical and Wellness Applications | |
| dc.type | Article | |
| oaire.citation.edition | Science Citation Index Expanded (SCI-EXPANDED) | |
| oaire.citation.issue | 2 | |
| oaire.citation.volume | 35 | |
| person.identifier.rid | AAV-8746-2021 | |
| person.identifier.rid | AAQ-4905-2020 | |
| person.identifier.rid | AAS-6360-2021 | |
| person.identifier.rid | L-7906-2016 |
