| Literature DB >> 34496037 |
Vorasuk Shotelersuk1,2, Duangdao Wichadakul3, Chumpol Ngamphiw4, Chalurmpon Srichomthong1,2, Chureerat Phokaew1,2, Alisa Wilantho4, Sujiraporn Pakchuen4, Vorthunju Nakhonsri4,5, Philip James Shaw6, Rujipat Wasitthankasem4, Jittima Piriyapongsa4, Pongsakorn Wangkumhang4, Adjima Assawapitaksakul1,2, Wanna Chetruengchai1,2, Keswadee Lapphra7, Athiphat Khuninthong4, Pattarapong Makarawate8, Kanya Suphapeetiporn1,2, Surakameth Mahasirimongkol9, Nusara Satproedprai9, Thantrira Porntaveetus10, Prapaporn Pisitkun11, Verayuth Praphanphoj12, Piranit Kantaputra13, Wichittra Tassaneeyakul14, Sissades Tongsima4.
Abstract
To maximize the potential of genomics in medicine, it is essential to establish databases of genomic variants for ethno-geographic groups that can be used for filtering and prioritizing candidate pathogenic variants. Populations with non-European ancestry are poorly represented among current genomic variant databases. Here, we report the first high-density survey of genomic variants for the Thai population, the Thai Reference Exome (T-REx) variant database. T-REx comprises exome sequencing data of 1092 unrelated Thai individuals. The targeted exome regions common among four capture platforms cover 30.04 Mbp on autosomes and chromosome X. 345 681 short variants (18.27% of which are novel) and 34 907 copy number variations were found. Principal component analysis on 38 469 single nucleotide variants present worldwide showed that the Thai population is most genetically similar to East and Southeast Asian populations. Moreover, unsupervised clustering revealed six Thai subpopulations consistent with the evidence of gene flow from neighboring populations. The prevalence of common pathogenic variants in T-REx was investigated in detail, which revealed subpopulation-specific patterns, in particular variants associated with erythrocyte disorders such as the HbE variant in HBB and the Viangchan variant in G6PD. T-REx serves as a pivotal addition to the current databases for genomic medicine.Entities:
Keywords: Thai; database; genomic medicine; population genetics; precision medicine; rare disease
Mesh:
Year: 2021 PMID: 34496037 DOI: 10.1111/cge.14060
Source DB: PubMed Journal: Clin Genet ISSN: 0009-9163 Impact factor: 4.438