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Andrew Scott Allen

Professor of Biostatistics & Bioinformatics
Biostatistics & Bioinformatics, Division of Integrative Genomics
Duke Box 103854, Durham, NC 27710
3 Genome Ct, 1245 MSRB III, Durham, NC 27705

Overview


My research focuses on developing new statistical methods for identifying susceptibility loci involved in complex human disease.  It involves a mix of genetics, statistics, and computer science and is motivated by the complexities of real data encountered in collaborative disease-gene mapping projects.

Current Duke Appointments & Affiliations


Professor of Biostatistics & Bioinformatics · 2019 - Present Biostatistics & Bioinformatics, Division of Integrative Genomics, Biostatistics & Bioinformatics
Director, Center for Statistical Genetics and Genomics · 2015 - Present Biostatistics & Bioinformatics, Division of Biostatistics, Biostatistics & Bioinformatics
Chief, Division of Integrative Genomics · 2018 - Present Biostatistics & Bioinformatics, Division of Biostatistics, Biostatistics & Bioinformatics

Recent News Items


Published September 3, 2015
School of Medicine announces new Center for Statistical Genetics and Genomics
Published March 26, 2015
Andrew Allen quoted: The father of all humans lived 239,000 years ago

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Recent Scholarly Works


Region-Level Design and Analysis of CRISPR Perturbation Screens with FRACTEL

Preprint · July 7, 2026 Abstract We present FRACTEL, a statistical framework for region-level analysis of CRISPR perturbation screens. FRACTEL aggregates gRNA p ... Full text Cite

Structured Pooling Improves Detection of Rare Regulatory Mutations in Population-Scale Reporter Assays.

Preprint · March 31, 2026 Identifying genetic variants in noncoding DNA that impact gene expression and thereby contribute to disease risk remains a difficult but important challenge in genomic medicine. Modern reporter assays such as STARR-seq and MPRA provide an efficient and eff ... Full text Link to item Cite

Identifying Inheritance Patterns of Allelic Imbalance, using Integrative Modeling and Bayesian Inference.

Preprint · March 31, 2026 Interpreting the effects of novel mutations on phenotypic traits remains challenging, particularly for cis -regulatory variants. For rare variants, individuals typically possess at most one affected copy of the causal allele, leading to allelic imbalance, ... Full text Link to item Cite
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Recent Grants


Computational Biology and Bioinformatics Training Grant

Inst. Training Prgm or CMEMentor · Awarded by National Institutes of Health · 2026 - 2031

iPediHeart: Interdisciplinary Research Training Program for Pediatric Heart Disease

Inst. Training Prgm or CMEMentor · Awarded by National Institutes of Health · 2025 - 2030

Complement Pathway Activation in Idiopathic Pulmonary Fibrosis and other Progressive Fibrosing Interstitial Lung Diseases (K23)

ResearchAdvisor · Awarded by National Heart, Lung, and Blood Institute · 2023 - 2028

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Education


Emory University · 2001 Ph.D.

External Links


Lab page