Literature DB >> 29961769

Population genomics in South East Asia captures unexpectedly high carrier frequency for treatable inherited disorders.

Yasmin Bylstra1,2, Jyn Ling Kuan1,3, Weng Khong Lim1,4, Jaydutt Digambar Bhalshankar5, Jing Xian Teo1, Sonia Davila1,6, Bin Tean Teh1,4,7, Steve Rozen1,4, Ene-Choo Tan3, Wendy Kein Meng Liew3,8, Khung Keong Yeo5, Patrick Tan1,4,9, Seang Mei Saw10,11,12,13, Ching-Yu Cheng11,13, Stuart Cook1,5,6, Roger Foo12,14, Saumya Shekhar Jamuar15,16,17.   

Abstract

PURPOSE: Genomic studies have demonstrated the necessity of ethnicity-specific population data to ascertain variant pathogenicity for disease diagnosis and treatment. This study examined the carrier prevalence of treatable inherited disorders (TIDs), where early diagnosis of at-risk offspring can significantly improve clinical outcomes.
METHODS: Existing exome/ genome sequencing data of 831 Singaporeans were aggregated and examined for disease causing variants in 104 genes associated with 80 TIDs.
RESULTS: Among the 831 Singaporean participants, genomic variant filtering and analysis identified 1 in 18 individuals (6%) to be carriers amongst one of 13 TIDs. Citrin deficiency and Wilson disease had the highest carrier frequency of 1 in 41, and 1 in 103 individuals, respectively. The pathogenic variants associated with citrin deficiency were 24 times more prevalent in our local cohorts when compared to Western cohorts.
CONCLUSION: This study demonstrates the value of a population specific genomic database to determine true disease prevalence and has enabled the discovery of carrier frequencies of treatable genetic conditions specific to South East Asian populations, which are currently underestimated in existing data sources. This study framework can be adapted to other population groups and expanded to multiple genetic conditions to inform health policies directing precision medicine.

Entities:  

Keywords:  Citrin deficiency; Genomics; Precision Medicine; Singapore Exome Consortium; treatable inherited disorders

Mesh:

Year:  2018        PMID: 29961769     DOI: 10.1038/s41436-018-0008-6

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


  24 in total

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5.  ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data.

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Journal:  Genet Med       Date:  2004 Sep-Oct       Impact factor: 8.822

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