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South Asian medical cohorts reveal strong founder effects and high rates of homozygosity

Authors :
Wall, Jeffrey D
Sathirapongsasuti, J Fah
Gupta, Ravi
Rasheed, Asif
Venkatesan, Radha
Belsare, Saurabh
Menon, Ramesh
Phalke, Sameer
Mittal, Anuradha
Fang, John
Tanneeru, Deepak
Deshmukh, Manjari
Bassi, Akshi
Robinson, Jacqueline
Chaudhary, Ruchi
Murugan, Sakthivel
Ul-Asar, Zameer
Saleem, Imran
Ishtiaq, Unzila
Fatima, Areej
Sheikh, Saqib Shafi
Hameed, Shahid
Ishaq, Mohammad
Rasheed, Syed Zahed
Memon, Fazal-Ur-Rehman
Jalal, Anjum
Abbas, Shahid
Frossard, Philippe
Fuchsberger, Christian
Forer, Lukas
Schoenherr, Sebastian
Bei, Qixin
Bhangale, Tushar
Tom, Jennifer
Gadde, Santosh Gopi Krishna
B V, Priya
Naik, Naveen Kumar
Wang, Minxian
Kwok, Pui-Yan
Khera, Amit V
Lakshmi, BR
Butterworth, Adam S
Chowdhury, Rajiv
Danesh, John
di Angelantonio, Emanuele
Naheed, Aliya
Goyal, Vinay
Kandadai, Rukmini M
Kumar, Hrishikesh
Borgohain, Rupam
Mukherjee, Adreesh
Wadia, Pettarusp M
Yadav, Ravi
Desai, Soaham
Kumar, Niraj
Biswas, Atanu
Pal, Pramod Kumar
Muthane, Uday B
Das, Shymal K
Ramprasad, Vedam L
Kukkle, Prashanth L
Seshagiri, Somasekar
Kathiresan, Sekar
Ghosh, Arkasubhra
Mohan, V
Saleheen, Danish
Stawiski, Eric W
Peterson, Andrew S
Wall, Jeffrey D [0000-0001-5066-1235]
Venkatesan, Radha [0000-0002-4281-0250]
Belsare, Saurabh [0000-0002-8148-1867]
Fang, John [0000-0003-2372-0839]
Bassi, Akshi [0000-0002-4443-1430]
Robinson, Jacqueline [0000-0002-5556-815X]
Forer, Lukas [0000-0003-2139-7329]
Wang, Minxian [0000-0002-3753-508X]
Kwok, Pui-Yan [0000-0002-5087-3059]
Khera, Amit V [0000-0001-6535-5839]
Butterworth, Adam S [0000-0002-6915-9015]
Desai, Soaham [0000-0003-0378-1888]
Kumar, Niraj [0000-0002-5863-2532]
Kukkle, Prashanth L [0000-0002-4610-947X]
Mohan, V [0000-0001-5038-6210]
Saleheen, Danish [0000-0001-6193-020X]
Stawiski, Eric W [0000-0002-9387-6719]
Apollo - University of Cambridge Repository
Source :
Nature communications, vol 14, iss 1
Publication Year :
2023
Publisher :
eScholarship, University of California, 2023.

Abstract

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 and describe a genotyping array (SARGAM) and imputation reference panel that are optimized for South Asian genomes. We find evidence for high rates of reproductive isolation, endogamy and consanguinity that vary across the subcontinent and that lead to levels of rare homozygotes that reach 100 times that seen in outbred populations. Founder effects increase the power to associate functional variants with disease processes and make South Asia a uniquely powerful place for population-scale genetic studies.

Details

Database :
OpenAIRE
Journal :
Nature communications, vol 14, iss 1
Accession number :
edsair.dedup.wf.001..fe37538e41c514c684b708aca364b80f