Author

Mohammed S Mustak

Mangalore University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:phylogenetics / evolution· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Abhishek SharmaiD· 1 shared Alnoman Mundher TayyehiD· 1 shared Amit KaushikiD· 1 shared Arti Tandon· 1 shared Biswanath Sarkar· 1 shared David ReichiD· 1 shared Gandham SriLakshmi Bhavani· 1 shared Gyaneshwer ChaubeyiD· 1 shared

Activity by Year

2016-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperEvolutionary Biology

Abhishek SharmaORCID

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2 papers

Recent·Most cited

South Asian Maternal Lineage haplogroup R30 Provides Phylogenetic Evidence of human dispersal across South Asia

Shailesh Desai, Vivek Adhikary, Mohak Bhattacharyya, Manoj Kumar Tharu, Abhishek Sharma, Jaison Jeevan Sequeira, Rudra Kumar Pandey, P S Pandey, Shivanand S. Shendre, Alnoman Mundher Tayyeh, Sajitha Lulu S, Mohammed S Mustak, Michael D. Petraglia, Gyaneshwer Chaubey

The paper analyzes haplogroup R30 in South Asia to trace human dispersal, finding it originated in the Indian subcontinent ~50 kya and shows evidence of multiple migrations.

bioRxiv · May 4, 2026 · PreprintEvolutionary Biology

The promise of disease gene discovery in South Asia

Nathan Nakatsuka, Priya Moorjani, Niraj Rai, Biswanath Sarkar, Arti Tandon, Nick Patterson, Gandham SriLakshmi Bhavani, Katta Mohan Girisha, Mohammed S Mustak, Sudha Srinivasan, Amit Kaushik, Saadi Abdul Vahab, Sujatha M. Jagadeesh, Kapaettu Satyamoorthy, Lalji Singh, , Kumarasamy Thangaraj

This study identifies 81 unique South Asian populations with founder events leading to recessive diseases, highlighting opportunities for disease gene discovery and burden reduction.

bioRxiv · Apr 6, 2016 · PreprintEvolutionary Biology