دورية أكاديمية
MARS: leveraging allelic heterogeneity to increase power of association testing
| العنوان: | MARS: leveraging allelic heterogeneity to increase power of association testing |
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| المؤلفون: | Farhad Hormozdiari, Junghyun Jung, Eleazar Eskin, Jong Wha J. Joo |
| المصدر: | Genome Biology, Vol 22, Iss 1, Pp 1-26 (2021) |
| بيانات النشر: | BMC, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Biology (General) LCC:Genetics |
| مصطلحات موضوعية: | Association studies, Causal variants, Set-based association analysis, Biology (General), QH301-705.5, Genetics, QH426-470 |
| الوصف: | Abstract In standard genome-wide association studies (GWAS), the standard association test is underpowered to detect associations between loci with multiple causal variants with small effect sizes. We propose a statistical method, Model-based Association test Reflecting causal Status (MARS), that finds associations between variants in risk loci and a phenotype, considering the causal status of variants, only requiring the existing summary statistics to detect associated risk loci. Utilizing extensive simulated data and real data, we show that MARS increases the power of detecting true associated risk loci compared to previous approaches that consider multiple variants, while controlling the type I error. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1474-760X |
| العلاقة: | https://doaj.org/toc/1474-760XTest |
| DOI: | 10.1186/s13059-021-02353-8 |
| الوصول الحر: | https://doaj.org/article/1e301c80dcd74ee2804a25fa2f567332Test |
| رقم الانضمام: | edsdoj.1e301c80dcd74ee2804a25fa2f567332 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 1474760X |
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| DOI: | 10.1186/s13059-021-02353-8 |