Asuman Turkmen
Biochemistry, Genetics and Molecular Biology · The Ohio State University
Publications
26
Citations
119
Est. group size
—
Recurring co-author estimate
Active years
21
Publishing since 2005
Asuman Turkmen develops statistical methods for analyzing genetic data, with a particular focus on correcting for population stratification (differences in ancestry that can confound genetic studies) and detecting rare and X-linked genetic variant effects in family-based studies. The work often uses Bayesian shrinkage techniques (a way to stabilize estimates when there are many variables) and other regression-based tools, and has also extended into general statistical methodology applied outside genetics, such as variable selection in transportation modeling.
Publication output has been modest and fairly steady but slow over the last decade, averaging about one paper per year with occasional gaps (e.g., 2018, 2022).
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Elevating transportation models: A comparative study of variable selection techniques for predictive performance
Travel Behaviour and Society · 2025
- Bayesian LASSO for population stratification correction in rare haplotype association studies
Statistical Applications in Genetics and Molecular Biology · 2024
- Population stratification correction using Bayesian shrinkage priors for genetic association studies
Annals of Human Genetics · 2023
- Bayestrat: Population Stratification Correction Using Bayesian Shrinkage Prior for Genetic Association Studies
bioRxiv (Cold Spring Harbor Laboratory) · 2021
- Detecting X‐linked common and rare variant effects in family‐based sequencing studies
Genetic Epidemiology · 2020
- Evaluation of methods for adjusting population stratification in genome‐wide association studies: Standard versus categorical principal component analysis
Annals of Human Genetics · 2019
- Emergence of Statistical Methodologies with the Rise of BIG Data
Women in engineering and science · 2019
- Are rare variants really independent?
Genetic Epidemiology · 2017
- Quantile inference based on clustered data
Metrika · 2016
- Generalised Rank Regression Estimator with Standard Error Adjusted Lasso
Australian & New Zealand Journal of Statistics · 2016
- Genetic Epidemiology×2
- Annals of Human Genetics×2
- Metrika×1
- Australian & New Zealand Journal of Statistics×1
- Women in engineering and science×1
- Veronica J. Vieland
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Shili Lin
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Robbee Wedow
Biochemistry, Genetics and Molecular Biology · Indiana University
- Nianjun Liu
Biochemistry, Genetics and Molecular Biology · Indiana University
- Geyu Zhou
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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