Author

Mahmoud Amiri Roudbar

Agricultural Research & Education OrganizationORCID 0000-0002-2023-9292Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Organism:human· 1

Frequent Co-Authors

Daniel Gianola BiD· 2 shared Mehdi M. MomeniD· 2 shared Ahmad Ayatollahi MehrgardiiD· 1 shared Andreas KranisiD· 1 shared Bruno Dourado ValenteiD· 1 shared Fernando Brito LopesiD· 1 shared Gota MorotaiD· 1 shared Guilherme J. M. RosaiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenomics

Daniel Gianola BORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintAug 25, 2020

Genome-wide methylation prediction of biological age using reproducing kernel Hilbert spaces and Bayesian ridge regressions

Mahmoud Amiri Roudbar, Mehdi M. Momen, Seyedeh Fatemeh Mousavi…·Hasan Khatib

The paper predicts biological age using DNA methylation data with RKHS and Bayesian ridge regression, finding higher accuracy with unadjusted methylation data and sex-specific aging patterns.

6 citations

humanDNA methylation

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GeneticsFrontiers in GeneticsPeer-reviewedOct 9, 2018

Including phenotypic causal networks in genome-wide association studies using mixed effects structural equation models

Mehdi M. Momen, Ahmad Ayatollahi Mehrgardi, Mahmoud Amiri Roudbar…·Daniel Gianola B

The paper applies structural equation models to GWAS in chickens to decompose SNP effects into direct, indirect, and total effects, showing greater insight into causal relationships than traditional multi-trait methods.

37 citations

multiple speciesGWAS summary statistics

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