A Vietnamese human genetic variation database. Issue 10 (3rd July 2019)

• Record Type: Journal Article
• Authors: Le, Vinh S.; Tran, Kien T.; Bui, Hoa T. P.; Le, Huong T. T.; Nguyen, Canh D.; Do, Duong H.; Ly, Ha T. T.; Pham, Linh T. D.; Dao, Lan T. M.; Nguyen, Liem T.
• Is Part Of: Human mutation. Volume 40:Issue 10(2019)
• Page Start: 1664
• Page End: 1675
• Publication Date: 2019-07-03
• Subjects: Asian human genome database -- Vietnamese genetic population structure -- Vietnamese human genome database -- whole genome sequencing; Human chromosome abnormalities -- Periodicals; Mutation (Biology) -- Periodicals; 616.04205
• DOI: 10.1002/humu.23835
• Languages: English
• ISSNs: 1059-7794

Abstract

Abstract: Large scale human genome projects have created tremendous human genome databases for some well‐studied populations. Vietnam has about 95 million people (the 14th largest country by population in the world) of which more than 86% are Kinh people. To date, genetic studies for Vietnamese people mostly rely on genetic information from other populations. Building a Vietnamese human genetic variation database is a must for properly interpreting Vietnamese genetic variants. To this end, we sequenced 105 whole genomes and 200 whole exomes of 305 unrelated Kinh Vietnamese (KHV) people. We also included 101 other previously published KHV genomes to build a Vietnamese human genetic variation database of 406 KHV people. The KHV database contains 24.81 million variants (22.47 million single nucleotide polymorphisms (SNPs) and 2.34 million indels) of which 0.71 million variants are novel. It includes more than 99.3% of variants with a frequency of >1% in the KHV population. Noticeably, the KHV database revealed 107 variants reported in the human genome mutation database as pathological mutations with a frequency above 1% in the KHV population. The KHV database (available at https://genomes.vn ) would be beneficial for genetic studies and medical applications not only for the Vietnamese population but also for other closely related populations.