Flexible and efficient count-distribution and mixed-model me…
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- DOI 10.1101/2025.07.17.25331702
- OpenAlex ID W4412960847
- Type Preprint
- Language EN
- Published 17 Jul 2025
- Source medRxiv
- Countries 2
- Institutions 4
- Added 05 Aug 2025
- Updated 28 Oct 2026
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Flexible and efficient count-distribution and mixed-model methods for eQTL mapping with quasar
Preprint 2025 EN Green
Abstract Identifying genetic variants that affect gene expression, expression quantitative trait loci (eQTLs), is a major focus of modern genomics. Today, various methods exist for eQTL mapping, each using different statistical and methodological approaches. However, it is unclear which approaches lead to better performance, and challenges, particularly scalability as datasets continue to increase…
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4 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Jeffrey M. Pullin Corresponding | University of Cambridge (GB) MRC Biostatistics Unit (GB) | |
| 2 | Jarny Choi | The University of Melbourne (AU) St Vincents Institute of Medic… (AU) | — |
| 3 | Davis James McCarthy | The University of Melbourne (AU) St Vincents Institute of Medic… (AU) | |
| 4 | Chris Wallace | University of Cambridge (GB) MRC Biostatistics Unit (GB) |
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