Author

Muhammad Arshad Alvi

Qatar FoundationORCID 0000-0002-3399-9303Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Asmaa A. Al ThaniiD· 2 shared Chadi SaadiD· 2 shared Dima DarwishiD· 2 shared Fatima AlkuwariiD· 2 shared Hamdi MbarekiD· 2 shared Heba YasiniD· 2 shared Omar AlbaghaiD· 2 shared Radja Messai BadjiiD· 2 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Asmaa A. Al ThaniORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Multi-ancestry genome-wide association study improves resolution of genes, pathways and pleiotropy for lung function and chronic obstructive pulmonary disease

Nick R. G. Shrine, Abril G. Izquierdo, Jing Chen, Richard J. Packer, Robert J. Hall, Anna L. Guyatt, Chiara Batini, Rebecca J. Thompson, Chandan K Pavuluri, Vidhi Malik, Brian D. Hobbs, Matthew R. Moll, Wonji Kim, Ruth Tal‐Singer, Per Sigvald Bakke, , Data Management and Computing Infrastructure group

This study performs a multi-ancestry GWAS on lung function and COPD, identifying 559 genes and 29 pathways, and showing genetic risk scores are associated with COPD across ancestries.

Nature Genetics · Mar 1, 2023Peer-reviewedGenetic & Genomic Medicine

Qatar Genome: Insights on Genomics from the Middle East

Hamdi Mbarek, Geethanjali Devadoss Gandhi, Senthil Selvaraj, Wadha Al‐Muftah, Radja Messai Badji, Yasser A. Al-Sarraj, Chadi Saad, Dima Darwish, Muhammad Arshad Alvi, Tasnim Fadl, Heba Yasin, Fatima Alkuwari, Rozaimi Razali, Waleed Aamer, Fatemeh Abbaszadeh, , Asma Al-Thani

The Qatar Genome Program sequenced 6,045 individuals, identifying 88 million variants, including novel ones, and revealed genetic structure and disease-related markers in the Qatari population.

Human Mutation · Feb 2, 2022Peer-reviewedGenetic & Genomic Medicine