Overview
- Products: Custom-branded genetic testing and reporting platform for practitioners and businesses.
- Cost: No public pricing; contact required for quotes.
- Reports: Customizable but lacking scientific transparency.
- Raw data access: Unclear whether upload/download options are available.
- Privacy: Vague policies; no information on encryption or compliance standards.
- Alternatives: OmicsEdge and PromicsEdge offer validated, customizable precision health platforms with advanced genetics and lab integration.
GeneMetrics Pros and Cons
Pros
- White-label model that allows full branding and customization for practitioners
- Claims to offer integration of DNA, lab, and lifestyle data into personalized reports
- Provides logistics support, including kit sourcing and data syncing
Cons
- Lacks transparency around the science behind its reports, with no details on which genes or variants are used, no published validation, and no disclosure of how predictions are generated.
- Website provides minimal information and feels outdated, with little clarity on the number or scope of reports available.
- Uses a very limited number of genetic variants (SNPs) to predict a condition or trait, which is not valid
- Provides little insight into the company’s background or team; no evidence of full-time experts in bioinformatics, genetics, or data science.
- Privacy practices are vague, with no clear information about how user data is protected or stored.
- Has virtually no public reviews or user feedback, making it difficult to assess credibility or user satisfaction.
About GeneMetrics
GeneMetrics is a white-label genomics platform founded by Benji Rabhan. The company combines genetic data, lab results, and environmental factors into customizable reports.
It claims to use proprietary algorithms to generate integrated health insights, though its methods are not transparent. The platform is closed to consumers and mainly targets practitioners looking to brand and deliver personalized health reports.
Review of GeneMetrics Products & Services
GeneMetrics is designed for practitioners, not consumers, and positions itself as a white-label platform that combines DNA, epigenetics, and lab results into customizable health reports.
The company markets heavily to health coaches, clinicians, telehealth providers, and alternative practitioners, promising fully branded solutions that include physical test kits, customizable software, and editable report templates.
The platform allows partners to insert their own branding, health product links, and custom text into reports. GeneMetrics handles logistics like kit design and syncing client data into the platform, typically within two to three weeks of test submission.
Despite these features, key details are missing. The website lacks examples of what the reports look like, offers no scientific references or validation of its analysis methods, and provides no case studies or clinical data to support outcomes.
Claims of “cutting-edge” analytics and precision insights are vague and unverified. The entire offering is positioned as a scalable, private-label service, but without transparency around methodology or results, it’s hard to evaluate the quality or accuracy of the reports.
GeneMetrics Accuracy
Unfortunately, GeneMetrics analyzes a very limited number of variants/SNPs for each trait. Each variant contributes only a small percentage to the risk of a trait or condition, which often involves millions of variants.
Looking at just a few variants cannot provide accurate predictions. This is why AI-based approaches are needed to analyze millions of variants and accurately assess risk.
Ancestry adjustments are also critical, as genetic risks vary across populations. Without ancestry adjustment, results may be inaccurate or misleading.
As it stands, the accuracy of GeneMetrics reports is highly questionable and not taken seriously in the genetics field. There is no visible validation or white paper showing effectiveness.
Companies often cite GWAS studies to justify including specific SNPs, but each variant usually contributes a very small amount to overall risk, and these associations are often not reproducible. It’s also not simple to combine variants using basic algorithms, as they interact in complex ways.
This is why advanced ancestry-adjusted polygenic risk scoring using AI is important, such as what is used by SelfDecode, PromicsEdge, and OmicsEdge. See this paper. Validation of this kind proves that an algorithm can be reproduced across a variety of ancestries.
GeneMetrics Sample Report
The GeneMetrics report presents an analysis of an individual’s raw genetic data, broken down into single-gene summaries with SNP-level detail.
The report covers areas such as detoxification, methylation, blood sugar, hormones, histamine, and inflammation. It includes general commentary on gene function and a list of variants associated with potential health implications.
However, the analysis does not incorporate polygenic risk scoring (PRS), which is the scientific standard for estimating disease risk based on multiple genetic markers.
Without PRS, the report cannot offer predictive insight or prioritize which findings are most relevant to the individual’s health. Each gene is treated independently, with no attempt to model gene-gene interactions or provide an overall risk score.
GeneMetrics reports also lack dynamic or personalized recommendations. While users are given basic descriptions of the gene’s function and how certain variants may influence health, there are no tailored supplement, lifestyle, or dietary recommendations included in the report. This limits the practical use of the data for people seeking actionable guidance.
In contrast, OmicsEdge and its practitioner platform, PromicsEdge, provide ancestry-adjusted polygenic risk scoring, analyzing over 200 million variants per genome with published validation in top-tier journals, including in a Nature journal.
Their reports integrate genetics, labs, lifestyle, and symptoms into actionable, evidence-based recommendations, a level of scientific depth and practical value that GeneMetrics simply does not approach.
You can view a sample GeneMetrics report here and see a sample OmicsEdge report here to compare clarity, depth, and scientific rigor.
Number of Reports
It is unclear how many reports GeneMetrics offers, as this information is not disclosed publicly.
GeneMetrics Team
As of this writing, none of the GeneMetrics team members appear to have the necessary expertise in genetics or genomics to support the development of a scientifically credible product. See their team.
Their “Head of Research,” Daniel Luper, has no apparent background in genetics based on his LinkedIn profile or publicly available information.
Unfortunately, GeneMetrics seems to fall into the category of companies offering superficial genetic analysis without scientific rigor, an issue common among many unvalidated genetics platforms.
Cost of GeneMetrics
GeneMetrics does not list any pricing information on its website. Anyone interested in using the service must contact the company directly for a quote. However, clients have reported costs ranging from $300 to $350 per report, which is significantly higher than many other platforms offering more advanced and validated analysis.
GeneMetrics Privacy & Security
GeneMetrics highlights its commitment to secure, practitioner-controlled genomic reporting, but offers few details on actual privacy practices. Its white-label model suggests that clients retain control over data handling, yet the company provides no publicly available information on encryption standards, data storage, or regulatory compliance (such as HIPAA or GDPR).
There’s no transparency regarding whether client data or aggregated, anonymized data is ever used internally for algorithm development. Given the lack of clarity in its documentation, potential partners must carefully assess data policies before integrating GeneMetrics into their healthcare operations.
GeneMetrics Reviews
Publicly available user experiences with GeneMetrics are minimal, especially outside of marketing channels. The platform primarily serves clinicians and consultants, and the company’s website doesn’t provide user-facing testimonials or report samples. No independent reviews or case studies are available that critique report content, accuracy, or customer experience.
Limited feedback appears to come from a Glassdoor listing with a single employee review (not a client) offering little insight into product quality or effectiveness. Without real-world user input or validation, GeneMetrics currently lacks any verifiable evidence of impact, accuracy, or practitioner satisfaction.
Alternatives to GeneMetrics
Two strong alternatives to GeneMetrics are OmicsEdge and PromicsEdge. OmicsEdge is a robust platform built for companies developing precision health products. It offers advanced tools for polygenic risk scoring, imputation, ancestry, and bioinformatics, with validated algorithms trusted by 65+ health tech companies worldwide.
Unlike GeneMetrics, SelfDecode, PromicsEdge & OmicsEdge have published research in a Nature journal that supports their methods, which helps ensure scientific credibility and transparency.
When benchmarked, it outperformed all competitors in its predictive capacity.
Companies like GeneMetrics use algorithms that are often almost no better than a coin flip and are widely scoffed at among genomic scientists & professionals.
PromicsEdge, powered by OmicsEdge, is built for health professionals and clinics. It generates personalized health reports based on DNA, lab results, lifestyle, and symptoms. It includes polygenic risk scores, pharmacogenomics, and methylation analysis, and is fully compliant with HIPAA and GDPR. Practitioners can use it for free, with optional referral-based commissions.
Compared to GeneMetrics, these platforms offer more scientific validation, broader functionality, and greater transparency, making them better suited for both professionals and organizations seeking precision health solutions.
Companies like SelfDecode, PromicsEdge & OmicsEdge disclose a full list of reports and features, currently 1,500+ and growing.
| Feature | GeneMetrics | OmicsEdge |
|---|---|---|
| Scientific Validation | No published research or validation available | Published research and validated algorithms supporting their methods |
| Report Examples | Not publicly available | Used by 65+ leading health tech companies; well-documented features |
| Privacy & Security | Vague privacy policies, no clear compliance information | GDPR and HIPAA compliant with strong security protocols |
| Scalability | Focus on scalable white-label solutions | Designed to support large-scale genomics and precision health projects |
| Integration of Data Types | Combines genetics, epigenetics, lab tests | Genetics with ancestry adjustment and multi-omics data |
| Scope of Genetic Variants Analyzes | Not publicly available | Analyzes 200M+ genetic variants |
| Scientific References in Reports | Unclear | 100,000+ |
| Number of Recommendations in Database | Unclear | 20,000+ evidence-based recommendations |
GeneMetrics Review Summary
GeneMetrics offers a white-label genomics platform aimed at practitioners who want customizable reports combining genetic, lab, and environmental data.
While the branding flexibility and logistics support are useful, the platform lacks transparency in methodology, scientific validation, and detailed reporting examples. Privacy and data security information are also vague, and pricing requires direct inquiry.
Compared to alternatives like OmicsEdge and PromicsEdge, which provide validated, research-backed solutions with broader features and clearer data policies, GeneMetrics may not meet the needs of practitioners seeking proven, transparent precision health tools. Potential users should carefully weigh these factors before committing.
