Biography

Dr. Hendricks is a statistical geneticist and biostatistician interested in the complex nature of human diseases and traits. Her research spans a variety of health and disease projects including work in large scale genetic, methylation, metabolomic, and expression studies as well as more focused functional and model organism research. Recent applied and collaborative projects include understanding the mechanisms and mediators behind successful nutrition interventions in children and adults. Dr. Hendricks’s recent methodological work focuses on developing methods and user-friendly software to increase the utility and equity of publicly available genetic data, especially for diverse and under-represented ancestral populations. Dr. Hendricks is proud to mentor many amazing graduate students and to have an active and dynamic undergraduate research group.

Interests

  • Statistics
  • Genetics & Genomics
  • Data Science for All

Meet the Team

Principal Investigator

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Audrey E. Hendricks

Associate Professor of Statistics

Undergraduate Research Assistants

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Mobin Khajeh-Sharafabadi

BS Student in Biochemistry, Minor in Math

Sam Chen

BS Student in Mathematics

Graduate Research Assistants

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Gregory Matesi

BS Math / MS Student in Statistics

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Ian Arriaga MacKenzie

BS Math / MS Stats Student

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Jordan Hall

PhD Student in Applied Mathematics

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Katie Marker

PhD Student in Human Medical Genetics and Genomics

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Nicholas Weaver

PhD Student in Applied Mathematics

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Abby Craig

PhD Student in Applied Mathematics

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Jessica Murphy

MS Student in Statistics

Admin

Alumni

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Alexandria Ronco

BS-Mathematics (2020)

Kaichao Chang

BS-Mathematics (2020)

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Megan Null

PhD-Applied Mathematics (2020)

Ryan Scherenberg

BS-Business (2019)

Yinfei Wu

BS-Mathematics (2019)

Research

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Foodomics

Identifying foods and food compounds in healthy diets leading to improved health outcomes

GSP

Genome Sequencing Program

ProxECAT

Rare variant association tests using external control data from genetic databases

Summix

Estimating ancestry proportions from genetic summary data

Recent Publications and News

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2020 Genomic Innovator Awards

Dr. Hendricks is honored to receive one of the National Human Genome Research Institute’s 2020 Genomic Innovator Awards. She is excited to develop methods and software to increase the utility and equity of large genomic resources, especially for understudied and diverse ancestral populations. Congratulations to all awardees!

Exome Sequencing Identifies Genes and Gene Sets Contributing to Severe Childhood Obesity, Linking PHIP Variants to Repressed POMC Transcription

Obesity is genetically heterogeneous with monogenic and complex polygenic forms. Using exome and targeted sequencing in 2,737 severely obese cases and 6,704 controls, we identified three genes (PHIP, DGKI, and ZMYM4) with an excess burden of very rare predicted deleterious variants in cases. Additionally, we found an excess burden of predicted deleterious variants involving genes nearest to loci from obesity genome-wide association studies. Genes and gene sets influencing obesity with variable penetrance provide compelling evidence for a continuum of causality in the genetic architecture of obesity, and explain some of its missing heritability.

Nutrimetabolomics reveals food-specific compounds in urine of adults consuming a DASH-style diet

Although health benefits of the Dietary Approaches to Stop Hypertension (DASH) diet are established, it is not understood which food compounds result in these benefits. We used metabolomics to identify unique compounds from individual foods of a DASH-style diet and determined if these Food-Specific Compounds (FSC) are detectable in urine from participants in a DASH-style dietary study. Overall, this proof of principle study demonstrates that metabolomics can be used to catalog FSC, which can be detected in participant urine following a dietary intervention.

Contact

  • audrey.hendricks@ucdenver.edu
  • 1201 Larimer Street, Denver, CO 80204
  • Enter Student Commons Building and take the stairs or elevator to office 4217 on the fourth floor