Login / Signup

Genetic profiling of Vietnamese population from large-scale genomic analysis of non-invasive prenatal testing data.

Ngoc Hieu TranThanh Binh VoVan Thong NguyenNhat-Thang TranThu-Huong Nhat TrinhHong-Anh Thi PhamThi Hong Thuy DaoNgoc Mai NguyenYen-Linh Thi VanVu Uyen TranHoang Giang VuQuynh-Tram Nguyen BuiPhuong-Anh Ngoc VoHuu Nguyen NguyenQuynh-Tho Thi NguyenThanh-Thuy Thi DoNien Vinh LamPhuong Cao Thi NgocDinh Kiet TruongHoai-Nghia NguyenHoa GiangMinh Duy Phan
Published in: Scientific reports (2020)
The under-representation of several ethnic groups in existing genetic databases and studies have undermined our understanding of the genetic variations and associated traits or diseases in many populations. Cost and technology limitations remain the challenges in performing large-scale genome sequencing projects in many developing countries, including Vietnam. As one of the most rapidly adopted genetic tests, non-invasive prenatal testing (NIPT) data offers an alternative untapped resource for genetic studies. Here we performed a large-scale genomic analysis of 2683 pregnant Vietnamese women using their NIPT data and identified a comprehensive set of 8,054,515 single-nucleotide polymorphisms, among which 8.2% were new to the Vietnamese population. Our study also revealed 24,487 disease-associated genetic variants and their allele frequency distribution, especially 5 pathogenic variants for prevalent genetic disorders in Vietnam. We also observed major discrepancies in the allele frequency distribution of disease-associated genetic variants between the Vietnamese and other populations, thus highlighting a need for genome-wide association studies dedicated to the Vietnamese population. The resulted database of Vietnamese genetic variants, their allele frequency distribution, and their associated diseases presents a valuable resource for future genetic studies.
Keyphrases