Ontology highlight
ABSTRACT:
SUBMITTER: Wall JD
PROVIDER: S-EPMC10250394 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature
Wall Jeffrey D JD Sathirapongsasuti J Fah JF Gupta Ravi R Rasheed Asif A Venkatesan Radha R Belsare Saurabh S Menon Ramesh R Phalke Sameer S Mittal Anuradha A Fang John J Tanneeru Deepak D Deshmukh Manjari M Bassi Akshi A Robinson Jacqueline J Chaudhary Ruchi R Murugan Sakthivel S Ul-Asar Zameer Z Saleem Imran I Ishtiaq Unzila U Fatima Areej A Sheikh Saqib Shafi SS Hameed Shahid S Ishaq Mohammad M Rasheed Syed Zahed SZ Memon Fazal-Ur-Rehman FU Jalal Anjum A Abbas Shahid S Frossard Philippe P Fuchsberger Christian C Forer Lukas L Schoenherr Sebastian S Bei Qixin Q Bhangale Tushar T Tom Jennifer J Gadde Santosh Gopi Krishna SGK B V Priya P Naik Naveen Kumar NK Wang Minxian M Kwok Pui-Yan PY Khera Amit V AV Lakshmi B R BR Butterworth Adam S AS Chowdhury Rajiv R Danesh John J di Angelantonio Emanuele E Naheed Aliya A Goyal Vinay V Kandadai Rukmini M RM Kumar Hrishikesh H Borgohain Rupam R Mukherjee Adreesh A Wadia Pettarusp M PM Yadav Ravi R Desai Soaham S Kumar Niraj N Biswas Atanu A Pal Pramod Kumar PK Muthane Uday B UB Das Shymal K SK Ramprasad Vedam L VL Kukkle Prashanth L PL Seshagiri Somasekar S Kathiresan Sekar S Ghosh Arkasubhra A Mohan V V Saleheen Danish D Stawiski Eric W EW Peterson Andrew S AS
Nature communications 20230608 1
The benefits of large-scale genetic studies for healthcare of the populations studied are well documented, but these genetic studies have traditionally ignored people from some parts of the world, such as South Asia. Here we describe whole genome sequence (WGS) data from 4806 individuals recruited from the healthcare delivery systems of Pakistan, India and Bangladesh, combined with WGS from 927 individuals from isolated South Asian populations. We characterize population structure in South Asia ...[more]