An Atlas of Indian Genetic Diversity

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Authors: Krithika Subramanian, Chandrika Bhattacharyya, Pratheusa Machha, Ankit Mukherjee, Devashish Tripathi, Shreya Chakraborty, Sauma Suvra Majumdar, Shouvanik Sengupta, Priyanka Singh, Vinay More, Shreya Bari, MS Sreelekshmi
+65 more Eric Macwan, Debasrija Mondal, Arghya Dey, Haya Afreen, Siddhi P. Jani, Payel Mukherjee, Neha Singh, Tiyasha De, Pooja Sharma, Bharathram Upilli, Arindam Maitra, Kuldeep Singh, Praveen Sharma, Nanaocha Sharma, Sunil K. Raghav, Punit Prasad, Soniya E.V., Abdul Jaleel, M. Radhakrishna Pillai, Shijulal Nelson Sathi, Madhvi N. Joshi, Chaitanya G. Joshi, Mayurika Lahiri, Santosh Dixit, L. S. Shashidhara, Nachimuthu Senthil Kumar, H Lalhruaitluanga, Lal Nundanga, Venkataram Shivakumar, Ganesan Venkatasubramanian, Naren P Rao, Mohd Ashraf Ganie, Imtiyaz Ahmad Wani, Ganganath Jha, Ashwin Bhikaji Dalal, Murali Dharan Bashyam, Pritish Kumar Varadwaj, BS Sanjeev, Yogesh L. Simmhan, Chirag Jain, Arun Kumar, Durai Sundar, Ishaan Gupta, Pankaj Yadav, Manikandan Narayanan, Karthik Raman, Padinjat Raghu, Radhakrishnan Sabarinathan, Sridhar Sivasubbu, Vinod Scaria, Prathima Arvind, Suman Kalyan Paine, Tulasi Nagabandi, Khader Valli Rupanagudi, Himanshu Sinha, Nidhan K. Biswas, Shweta Ramdas, Karthik Bharadwaj Tallapaka, Vijayalakshmi Ravindranath, Yadati Narahari, Kumarasamy Thangaraj, Divya Tej Sowpati, Mohammed Faruq, Bratati Kahali, Analabha Basu
Cited by: 4
References: 74

Abstract

Abstract India, the most populous country, remains significantly underrepresented in the global genomics landscape. Previous efforts to catalog Indian genetic diversity were limited in scale, scope, and representation. Here, we present the GenomeIndia dataset, comprising whole genome sequences of 9,768 healthy individuals from 83 populations spanning the ethnolinguistic and biogeographic spectrum of India. We identify 129.93 million high-confidence biallelic variants, 44.03 million of which are previously unreported in global databases. In contrast to large populations that show steady population growth and internal homogeneity, we observe low effective population sizes, significant genetic drift, and profound homozygosity in small tribal groups, likely shaped by antiquity, isolation, and endogamy. We report multiple population-specific pharmacogenomic and deleterious variants, necessitating the integration of local genetic architecture and the inclusion of underrepresented South Asian genomes in global reference resources. Finally, we highlight the limited transferability of Eurocentric polygenic scores to Indian populations, and present an imputation panel that outperforms existing resources for both rare and common variants. Together, our work fills a significant gap in the equity of global human genomics, and paves way for precision medicine strategies that will benefit a quarter of the world population.

Fields of Study & Subjects

Genetic Associations and Epidemiology Forensic and Genetic Research Genomics and Rare Diseases

Publication details

Journal / source
medRxiv
Publisher
openRxiv
Publication date
24 March 2026
Document type
Preprint