Author

Mahan Nekoui

Broad InstituteORCID 0000-0001-7466-4801Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 3 Organism:human· 3 Approach:deep learning· 2 Assay:imaging· 2 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Approach:statistical model· 1

Frequent Co-Authors

Anthony PhilippakisiD· 3 shared Carolina RoselliiD· 3 shared James P. PirruccelloiD· 3 shared Lu-Chen C WengiD· 3 shared Patrick T. EllinoriD· 3 shared Puneet BatraiD· 3 shared Sam Freesun FriedmaniD· 3 shared Shaan S. KhurshidiD· 3 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Anthony PhilippakisORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicineNature GeneticsPeer-reviewedApr 20, 2023

Genetics of Myocardial Interstitial Fibrosis in the Human Heart and Association with Disease

Victor D. Nauffal, Paolo Di Achille, Marcus D. R. Klarqvist…·Steven A. Lubitz

The paper uses machine learning to analyze myocardial T1 time in UK Biobank data, identifying genetic loci and pathways associated with interstitial fibrosis and related cardiovascular diseases.

94 citationstop 1%

humanGWAS summary statistics

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GeneticsNature GeneticsPeer-reviewedJun 1, 2022

Genetic Analysis of Right Heart Structure and Function in 40,000 People

James P. Pirruccello, Paolo Di Achille, Victor D. Nauffal…·Patrick T. Ellinor

The paper uses deep learning and genome-wide association studies to identify genetic loci associated with right heart structure and function in 40,000 individuals.

105 citationstop 1%

humanimaging

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GenomicsNature GeneticsPeer-reviewedNov 26, 2021

Deep learning enables genetic analysis of the human thoracic aorta

James P. Pirruccello, Mark D. Chaffin, Elizabeth L. Chou…·Patrick T. Ellinor

This study uses deep learning to analyze aortic dimensions from MRI and identifies genetic loci associated with aortic diameter, highlighting SVIL as a key gene and developing a polygenic score for aneurysm risk.

210 citationstop 1%

humanimaging

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