Abstract

Previous genetic and public health research in the Pakistani population has focused on the role of consanguinity in increasing recessive disease risk, but little is known about its recent population history or the effects of endogamy. Here, we investigate fine-scale population structure, history and consanguinity patterns using genotype chip data from 2,200 British Pakistanis. We reveal strong recent population structure driven by the biraderi social stratification system. We find that all subgroups have had low recent effective population sizes (Ne), with some showing a decrease 15‒20 generations ago that has resulted in extensive identity-by-descent sharing and homozygosity, increasing the risk of recessive disorders. Our results from two orthogonal methods (one using machine learning and the other coalescent-based) suggest that the detailed reporting of parental relatedness for mothers in the cohort under-represents the true levels of consanguinity. These results demonstrate the impact of cultural practices on population structure and genomic diversity in Pakistanis, and have important implications for medical genetic studies.

Little is known about the recent population history or the effects of endogamy on the Pakistani population. Here the authors examine the impact of the biraderi social stratification system on the population structure of individuals of British Pakistani ancestry in the Born in Bradford cohort.

Details

Title
Fine-scale population structure and demographic history of British Pakistanis
Author
Arciero, Elena 1   VIAFID ORCID Logo  ; Dogra, Sufyan A 2   VIAFID ORCID Logo  ; Malawsky, Daniel S 1 ; Mezzavilla Massimo 3   VIAFID ORCID Logo  ; Tsismentzoglou Theofanis 4   VIAFID ORCID Logo  ; Huang Qin Qin 1   VIAFID ORCID Logo  ; Hunt, Karen A 5 ; Mason, Dan 2   VIAFID ORCID Logo  ; Malik, Sharif Saghira 6 ; van Heel David A 5   VIAFID ORCID Logo  ; Sheridan, Eamonn 7 ; Wright, John 2 ; Small, Neil 8   VIAFID ORCID Logo  ; Carmi Shai 9 ; Iles, Mark M 4   VIAFID ORCID Logo  ; Martin, Hilary C 1   VIAFID ORCID Logo 

 Wellcome Sanger Institute, Hinxton, UK (GRID:grid.10306.34) (ISNI:0000 0004 0606 5382) 
 Bradford Teaching Hospitals NHS Foundation Trust, Bradford Institute for Health Research, Bradford, UK (GRID:grid.418449.4) (ISNI:0000 0004 0379 5398) 
 University of Trieste, Department of Medical Sciences, Trieste, Italy (GRID:grid.5133.4) (ISNI:0000 0001 1941 4308) 
 University of Leeds, Leeds Institute for Data Analytics, Leeds, UK (GRID:grid.9909.9) (ISNI:0000 0004 1936 8403); University of Leeds, Leeds Institute of Medical Research, Leeds, UK (GRID:grid.9909.9) (ISNI:0000 0004 1936 8403) 
 Queen Mary University of London, Blizard Institute, Barts and The London School of Medicine and Dentistry, London, UK (GRID:grid.4868.2) (ISNI:0000 0001 2171 1133) 
 Leeds Teaching Hospitals NHS Trust, Yorkshire Regional Genetics Service, Leeds, UK (GRID:grid.415967.8) (ISNI:0000 0000 9965 1030) 
 University of Leeds, Leeds Institute of Medical Research, Leeds, UK (GRID:grid.9909.9) (ISNI:0000 0004 1936 8403) 
 University of Bradford, Faculty of Health Studies, Bradford, UK (GRID:grid.6268.a) (ISNI:0000 0004 0379 5283) 
 The Hebrew University of Jerusalem, Braun School of Public Health and Community Medicine, Jerusalem, Israel (GRID:grid.9619.7) (ISNI:0000 0004 1937 0538) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2608621008
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.