Challenges in Genomic Variant Interpretation Within Pakistani Populations due to Genomic Healthcare Inequalities

Accurate classification of genomic variants is crucial to ensure correct diagnosis, genetic counseling, and clinical management of monogenic inherited disorders. Variant interpretation can be hindered in populations that are significantly underrepresented in large reference genomic databases, leading to genomic healthcare inequalities. Despite a relatively high prevalence of inherited autosomal recessive diseases within Pakistan, this population remains significantly underrepresented in reference genomic databases. This genomic data disparity, alongside other population characteristics, including limited access to genomic healthcare, high rates of consanguineous unions, tribal, ethnic, and geographical isolation leading to increased autozygosity, can result in frequent challenges in rare variant interpretation. Here, we describe four Pakistani families with rare monogenic disorders in which whole-exome sequencing identified previously unpublished candidate biallelic variants of uncertain significance (VUS) in four genes: INTS1, PPFIBP1, HSPG2, and ACOX3. Our studies highlight the challenges of rare variant interpretation within the Pakistani community, leading to an increased proportion of variants being classified as VUS. Collectively, our findings highlight the need for increased diversity within genomic research to effectively tackle healthcare inequities faced by underrepresented communities.

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Publication Details

Journal
American Journal of Medical Genetics Part A
Published
2025-07-26
DOI
https://doi.org/10.1002/ajmg.a.64191
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
0.00

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article

Challenges in Genomic Variant Interpretation Within Pakistani Populations due to Genomic Healthcare Inequalities

Shamim Saleha, Arfa Azeem, Nikol Voutsina, Asif Ahmed et al.
1 links
American Journal of Medical Genetics Part A
Genomics and Rare Diseases
article

Challenges in Genomic Variant Interpretation Within Pakistani Populations due to Genomic Healthcare Inequalities

Shamim Saleha, Arfa Azeem, Nikol Voutsina, Asif Ahmed, Nishanka Ubeyratna, Zaheer Khalid, Andrew H. Crosby, Sabika Firasat, Asma Gul, Joseph S. Leslie, Lettie E. Rawlins, Claire Salter, Emma L. Baple, Muhammad Anees, Muhammad Tahir Sarwar, Matthew Adams, Raeesa Tehreen
article en

Abstract

Accurate classification of genomic variants is crucial to ensure correct diagnosis, genetic counseling, and clinical management of monogenic inherited disorders. Variant interpretation can be hindered in populations that are significantly underrepresented in large reference genomic databases, leading to genomic healthcare inequalities. Despite a relatively high prevalence of inherited autosomal recessive diseases within Pakistan, this population remains significantly underrepresented in reference genomic databases. This genomic data disparity, alongside other population characteristics, including limited access to genomic healthcare, high rates of consanguineous unions, tribal, ethnic, and geographical isolation leading to increased autozygosity, can result in frequent challenges in rare variant interpretation. Here, we describe four Pakistani families with rare monogenic disorders in which whole-exome sequencing identified previously unpublished candidate biallelic variants of uncertain significance (VUS) in four genes: INTS1, PPFIBP1, HSPG2, and ACOX3. Our studies highlight the challenges of rare variant interpretation within the Pakistani community, leading to an increased proportion of variants being classified as VUS. Collectively, our findings highlight the need for increased diversity within genomic research to effectively tackle healthcare inequities faced by underrepresented communities.

American Journal of Medical Genetics Part AVol. 197(12)
International Islamic University, Islamabad (PK), Quaid-i-Azam University (PK), Kohat University of Science and Technology (PK), Khyber Medical University (PK), Royal Devon & Exeter NHS Foundation Trust (GB), Royal Devon and Exeter Hospital (GB), Heavitree Hospital (GB)
National Institute for Health and Care Research, Department of Health and Social Care, Higher Education Commission, Pakistan
Reduced inequalities
Openalex Percentile: Top 79%
Genomics and Rare Diseases
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