دورية أكاديمية
Local and Bayesian Survival FDR Estimations to Identify Reliable Associations in Whole Genome of Bread Wheat
| العنوان: | Local and Bayesian Survival FDR Estimations to Identify Reliable Associations in Whole Genome of Bread Wheat |
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| المؤلفون: | Mohammad Bahman Sadeqi, Agim Ballvora, Jens Léon |
| المصدر: | International Journal of Molecular Sciences, Vol 24, Iss 18, p 14011 (2023) |
| بيانات النشر: | MDPI AG, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Biology (General) LCC:Chemistry |
| مصطلحات موضوعية: | GWAS, local FDR, Bayesian survival analysis, wheat genome, grain yield, Biology (General), QH301-705.5, Chemistry, QD1-999 |
| الوصف: | Estimating the FDR significance threshold in genome-wide association studies remains a major challenge in distinguishing true positive hypotheses from false positive and negative errors. Several comparative methods for multiple testing comparison have been developed to determine the significance threshold; however, these methods may be overly conservative and lead to an increase in false negative results. The local FDR approach is suitable for testing many associations simultaneously based on the empirical Bayes perspective. In the local FDR, the maximum likelihood estimator is sensitive to bias when the GWAS model contains two or more explanatory variables as genetic parameters simultaneously. The main criticism of local FDR is that it focuses only locally on the effects of single nucleotide polymorphism (SNP) in tails of distribution, whereas the signal associations are distributed across the whole genome. The advantage of the Bayesian perspective is that knowledge of prior distribution comes from other genetic parameters included in the GWAS model, such as linkage disequilibrium (LD) analysis, minor allele frequency (MAF) and call rate of significant associations. We also proposed Bayesian survival FDR to solve the multi-collinearity and large-scale problems, respectively, in grain yield (GY) vector in bread wheat with large-scale SNP information. The objective of this study was to obtain a short list of SNPs that are reliably associated with GY under low and high levels of nitrogen (N) in the population. The five top significant SNPs were compared with different Bayesian models. Based on the time to events in the Bayesian survival analysis, the differentiation between minor and major alleles within the association panel can be identified. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1422-0067 1661-6596 |
| Relation: | https://www.mdpi.com/1422-0067/24/18/14011; https://doaj.org/toc/1661-6596; https://doaj.org/toc/1422-0067 |
| DOI: | 10.3390/ijms241814011 |
| URL الوصول: | https://doaj.org/article/a1c3a99fd23c4c569db3363f565b5bb1 |
| رقم الأكسشن: | edsdoj.1c3a99fd23c4c569db3363f565b5bb1 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 14220067 16616596 |
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| DOI: | 10.3390/ijms241814011 |