Statistical Genetics & Genomics Consulting

Genetic data analysis requires specialized statistical expertise to uncover meaningful biological insights.

As a statistical genetics consultant, I help researchers and organizations navigate complex genomic datasets, from genome-wide association studies to polygenic risk score development.

Whether you’re investigating rare variant associations or conducting population genetics research, my expertise ensures your genetic analyses are statistically sound and biologically interpretable.

Comprehensive Statistical Genetics Services

Transform your genetic data into actionable biological insights.

My specialized statistical genetics services help researchers decode complex genotype-phenotype relationships across diverse study designs and populations.

Study Design & Power Analysis

Design robust genetic studies that maximize discovery potential while controlling for population structure.

  • Plan genome-wide association studies (GWAS) with appropriate sample sizes
  • Design rare variant association studies and burden tests
  • Develop family-based linkage analysis frameworks
  • Calculate statistical power for quantitative trait locus (QTL) mapping
  • Plan gene-environment interaction studies
  • Design replication studies for genetic associations

GWAS & Association Analysis

Conduct comprehensive genome-wide association studies with rigorous statistical control.

  • Perform quality control on genotype and phenotype data
  • Execute single-variant and multi-variant association tests
  • Implement population stratification correction methods
  • Analyze both monogenic and polygenic traits
  • Test for epistatic interactions between genetic variants
  • Conduct meta-analyses across multiple cohorts
  • Perform conditional analysis to identify independent signals

Advanced Genomic Methods

Apply cutting-edge statistical approaches to complex genetic questions.

  • Develop and validate polygenic risk scores (PRS)
  • Perform Mendelian randomization analyses for causal inference
  • Estimate heritability using genomic data
  • Conduct haplotype analysis and linkage disequilibrium mapping
  • Analyze copy number variants and structural variations
  • Implement transmission disequilibrium tests in family data
  • Test for pleiotropy across multiple traits

NGS Data Analysis

Process and analyze next-generation sequencing data with statistical rigor.

  • Perform variant calling and quality assessment
  • Analyze whole-genome and whole-exome sequencing data
  • Conduct rare variant burden testing
  • Implement collapsing methods for gene-based tests
  • Analyze RNA-seq data for expression quantitative trait loci (eQTL)
  • Process methylation data for epigenome-wide association studies
  • Integrate multi-omics data for comprehensive analysis

Population Genetics Analysis

Understand genetic variation patterns across populations and evolutionary time.

  • Estimate allele frequencies and Hardy-Weinberg equilibrium
  • Analyze population structure and admixture
  • Calculate identity by descent and identity by state measures
  • Perform phylogenetic and coalescent analyses
  • Estimate migration rates and population bottlenecks
  • Analyze natural selection signatures in genomic data
  • Conduct demographic inference from genetic data

Specialized Consulting & Training

Beyond standard analysis, I provide comprehensive support for genetic research.

  • Review and validate existing genetic analysis pipelines
  • Provide training on statistical genetics software and methods
  • Develop custom analysis workflows for specific research questions
  • Assist with manuscript preparation and peer review responses
  • Offer guidance on genetic data sharing and ethical considerations
  • Support grant applications with statistical genetics components
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Why Work With Me For Your Statistical Genetics Needs?

Working with a statistical genetics expert benefits you in many ways

Time Efficiency

Focus on biological interpretation while I handle complex statistical computations and quality control procedures.

Reduced Complexity

Navigate the statistical challenges of genetic data analysis with confidence in your results.

Accurate Results

Apply appropriate statistical methods that account for genetic architecture, population structure, and multiple testing corrections.

Biological Insights

Translate statistical findings into meaningful biological conclusions that advance your research goals.

The Statistical Genetics Process

My consulting process is designed for genetic research workflows

Discovery Phase

We discuss your research questions, genetic data types, study populations, and phenotype definitions to understand your analytical needs.

Analysis Plan & Method Selection

Together, we establish the analytical approach, including statistical methods, quality control procedures, and interpretation frameworks. All deliverables and timelines are outlined in a formal proposal.

Data Analysis & Implementation

I conduct comprehensive genetic analyses, handling complex issues like population stratification, relatedness, and multiple testing correction while ensuring reproducible workflows.

Results & Interpretation

I deliver detailed reports with publication-ready figures, statistical summaries, and biological interpretation guidance, plus methodology documentation for peer review.

For urgent questions, my on-demand consultation service offers quick, cost-saving solutions.

Book Express Consultation

Case Studies

I worked on large medical datasets to answer causal questions related to epidemiological determinants of disease through complex exposures. Challenges included selection bias, confounding, and missing data. I successfully developed a strategy that gave researchers confidence in their results.
I’ve worked with R&D scientists who were simultaneously running multiple experiments to answer important questions about their cutting-edge products that would have a direct impact on various stakeholders. My role was to help in designing and analyzing the experiments, balancing the conceptual purity of the Design of Experiments theory (DoE) with pragmatic concerns relating to costs and timeline. Most of this work is sealed behind a Non-Disclosure Agreement (NDA) which prevents me from elaborating more.

Don’t Just Take My Word For It…

The positive experiences of my happy collaborators showcased through their glowing testimonials, serve as powerful proof of trustworthiness and the impact of the results I deliver. These testimonials offer real-life examples of how I’ve helped research projects succeed. Here are some of their thoughts:

5/5

"He has a deep understanding of statistics, yet is able to skillfully explain complex concepts to people with little-to-no background in statistics both in French and English."

Elsa Brunet-Ratnasginham

Post-doc, UCSF

5/5

"I had never before worked with a biostatistician who speaks the same language as me! [...] Personally, our collaboration has allowed me to reconcile with statistics."

Manon Nayrac

Post-doc, CRCHUM

5/5

"I highly recommend Justin and his team for your data processing needs in order to have a more robust statistical model than the tests we are accustomed to conducting as biologists!"

Gérémy Sannier

Ph.D candidate, CRCHUM

5/5

"Thanks to him, statistics appeared to me as solutions rather than obstacles."

Mathieu Dubé

Research Associate, CRCHUM

Read Full Collaborator Testimonials
Justin Belair - Causal Inference Expert

My Statistics and Causal Inference Expertise

As a university-level statistics lecturer with a substantial LinkedIn following, scientists from all over the world come to me for my unique combination of academic excellence and practical experience in statistics and causal inference.

I’ve applied causal inference methods in varied settings in both academia and industry: in biomedical sciences such as nephrology, immunology, neuroscience, virology, occupational therapy, epidemiology, dermatology, psychiatry, and oncology; in natural sciences such as agronomy, ecology, and zoology; and social sciences such as communication, and psychology. The list keeps on growing!

I am currently writing an advanced textbook that I hope will give a young generation of academic and industry researches the tools needed to grapple with the complexities of causal inference, and maybe even develop a passion for the subject!

Need help with statistical genetics analysis? From GWAS design to polygenic risk score development, I offer specialized expertise in genetic data analysis. Together, we can unlock the biological insights hidden in your genetic data.

Let's Talk

Tools and Technologies

Statistical Software & Programming

Using specialized genetic analysis software including PLINK, GCTA, and custom R/Python implementations for cutting-edge genomic methods.

Bioinformatics Pipelines

I develop robust computational workflows that integrate variant calling, quality control, and statistical analysis into streamlined, reproducible pipelines.

Database Integration

Experience with major genetic databases and reference panels including 1000 Genomes, gnomAD, and UK Biobank for comprehensive genetic analysis.

Client Industries Served

My statistical consulting expertise extends beyond specific industries, serving clients in fields ranging from R&D in biotechnology and pharmaceuticals to researchers and Principal Investigators (PI) in academia.