Veronica J. Vieland
Biochemistry, Genetics and Molecular Biology · The Ohio State University
Publications
188
Citations
10,802
Est. group size
—
Recurring co-author estimate
Active years
39
Publishing since 1988
Veronica J. Vieland develops statistical genetics methods for identifying genes and genetic modifiers linked to disease, applying these approaches to conditions such as Duchenne muscular dystrophy and autism spectrum disorder. Her work also includes methodological research on statistical evidence measurement and the philosophy of statistical inference itself, such as how to quantify and interpret evidence in scientific studies.
Publication output was fairly steady from 2017-2021 (2-5 papers/year) but has become sparse and irregular since 2022, with several years showing no listed output.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Gene x environment interaction analysis confirms genetic modifier effects on steroid efficacy via TGF-β pathway in Duchenne muscular dystrophy
European Journal of Human Genetics · 2026
- A genome-wide association analysis of loss of ambulation in dystrophinopathy patients suggests multiple candidate modifiers of disease severity
European Journal of Human Genetics · 2023
- The effect of ascertainment on penetrance estimates for rare variants: Implications for establishing pathogenicity and for genetic counselling
PLoS ONE · 2023
- Absolutely Zero Evidence
Philosophy of Science · 2023
- The effect of ascertainment on penetrance estimates for rare variants: implications for establishing pathogenicity and for genetic counselling
bioRxiv (Cold Spring Harbor Laboratory) · 2023
- The PPLD has advantages over conventional regression methods in application to moderately sized genome-wide association studies
PLoS ONE · 2021
- Candidate gene modifiers of dystrophinopathy identified by the uniform application of genome-wide datasets to novel GWAS-identified loci
medRxiv · 2021
- The PPLD has advantages over conventional regression methods in application to moderately sized genome-wide association studies
bioRxiv (Cold Spring Harbor Laboratory) · 2021
- A genome-wide association analysis of loss of ambulation in dystrophinopathy patients suggests multiple candidate modifiers of disease severity
medRxiv · 2021
- A new linear regression-like residual for survival analysis, with application to genome wide association studies of time-to-event data
PLoS ONE · 2020
- Segregating patterns of copy number variations in extended autism spectrum disorder (<scp>ASD</scp>) pedigrees
American Journal of Medical Genetics Part B Neuropsychiatric Genetics · 2020
- Posterior probability of linkage analysis of autism dataset identifies linkage to chromosome 16
UNC Libraries · 2020
- M15 ENHANCING ACCESS TO DATA AT THE NATIONAL INSTITUTE OF HEALTH REPOSITORY AND GENOMICS RESOURCE
European Neuropsychopharmacology · 2019
- Genetic Analysis Workshop 15: gene expression analysis and approaches to detecting multiple functional loci
UNC Libraries · 2019
- Long‐range genomic regulators of <i>THBS1</i> and <i>LTBP4</i> modify disease severity in duchenne muscular dystrophy
Annals of Neurology · 2018
- PLoS ONE×4
- UNC Libraries×3
- European Journal of Human Genetics×2
- Entropy×2
- Philosophy of Science×2
- Nianjun Liu
Biochemistry, Genetics and Molecular Biology · Indiana University
- Shili Lin
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Robbee Wedow
Biochemistry, Genetics and Molecular Biology · Indiana University
- Geyu Zhou
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Asuman Turkmen
Biochemistry, Genetics and Molecular Biology · The Ohio State University
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.
Claim or correct this profile