Houston, Texas

Causal inference and clinical utility evidence for genomic medicine.

Genetics & Genomics Services, Inc. (GGS) is a Public Benefit Corporation providing scoped analytic and strategic engagements to organizations bringing genomic tests and therapeutics to clinical practice.

Approach

GGS works with Medical Affairs, Market Access, and R&D teams at pharmaceutical and diagnostics companies on engagements that require more than descriptive statistics: establishing that a genomic test or biomarker changes what a clinician would otherwise do, and that the change in action improves outcomes.

That standard — clinical utility — is a causal claim, not a correlational one. Our engagements are built around explicit causal models (directed acyclic graphs and structural causal models), analysis of large-scale genomic and clinical data, and translation of the resulting evidence into forms that regulators, payers, and clinical guideline committees can act on.

Causal diagram: test result, clinical decision, patient outcome, and confounders Test result leads to clinical decision, which leads to patient outcome. Patient-level confounders point into both clinical decision and patient outcome, opening a path that a purely correlational analysis cannot distinguish from the causal effect of the test. Patient-level confounders Genomic test result Clinical decision changes Patient outcome

Confounders open a path from test result to outcome that bypasses clinical decision-making — the reason a clinical utility claim has to be evaluated as a causal model, not read off a raw association.

Clinical utility evidence

Study design and analysis that isolates the causal effect of testing on clinical decisions and outcomes, built to withstand payer and regulatory scrutiny.

Genomic study analysis

Statistical genetics and causal-inference methodology applied to sequencing and biobank-scale data, from variant interpretation to population-level association.

Strategic translation

Framing analytic results for the audiences that decide reimbursement and adoption — Market Access, guideline bodies, and payers.

Scoped engagements

Defined-duration consulting suited to a specific question or milestone, not an open-ended retainer.

Research

GGS conducts secondary analyses of private and public data resources under approved data use and governance requirements. Work in this setting applies rare- and common-variant association methodology and causal-inference frameworks to questions in human genetics.

Details of individual studies are governed by the applicable data use agreements and are not published here; inquiries related to a specific collaboration or application are welcome via the contact information below.

About the Entity

A fuller account of Dr. Belmont's research and publication record is maintained separately at belmontgenetics.org.

Contact

For inquiries regarding consulting engagements, research collaborations, or data use applications naming GGS as a participating organization: