{"title":"A genotype imputation reference panel specific for native Southeast Asian populations.","authors":"Alvin Cengnata, Lian Deng, Wai-Sum Yap, Lay-Hong Renee Lim, Chee-Onn Leong, Shuhua Xu, Boon-Peng Hoh","doi":"10.1038/s41525-024-00435-7","DOIUrl":null,"url":null,"abstract":"<p><p>We report the development of a \"Southeast Asian Specific (SEA-specific) Reference Panel\" through a \"Cross-panel Imputation\" approach, consisting of 2550 samples derived from the GA100K, SG10K, and the Peninsular Malaysia Orang Asli (OA) datasets, covering 113,851,450 variants. The SEA-specific panel produced more high confidence variants than 1000 Genomes Project (1KGP) when imputing the OA (8.9 million SEA-specific vs 8.1 million 1KGP) and the Singapore Genome Variation Project (SGVP) (12.5 million SEA-specific vs 11.8 million 1KGP) genotyping datasets. Further, the SEA-specific panel imputed SNPs with better estimated quality scores (INFO, DR2 and R<sup>2</sup>) on the OA genotyping dataset when comparing with TOPMED and the Human Genome Diversity Project, but performed similarly on SGVP dataset. This panel also exhibited higher recall and non-reference disconcordance rates, indicating the influence of ancestry closeness of the reference panel. However, we note that the imputation accuracy may be compromised by the size of the reference panel.</p>","PeriodicalId":19273,"journal":{"name":"NPJ Genomic Medicine","volume":"9 1","pages":"47"},"PeriodicalIF":4.7000,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11455956/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"NPJ Genomic Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41525-024-00435-7","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
We report the development of a "Southeast Asian Specific (SEA-specific) Reference Panel" through a "Cross-panel Imputation" approach, consisting of 2550 samples derived from the GA100K, SG10K, and the Peninsular Malaysia Orang Asli (OA) datasets, covering 113,851,450 variants. The SEA-specific panel produced more high confidence variants than 1000 Genomes Project (1KGP) when imputing the OA (8.9 million SEA-specific vs 8.1 million 1KGP) and the Singapore Genome Variation Project (SGVP) (12.5 million SEA-specific vs 11.8 million 1KGP) genotyping datasets. Further, the SEA-specific panel imputed SNPs with better estimated quality scores (INFO, DR2 and R2) on the OA genotyping dataset when comparing with TOPMED and the Human Genome Diversity Project, but performed similarly on SGVP dataset. This panel also exhibited higher recall and non-reference disconcordance rates, indicating the influence of ancestry closeness of the reference panel. However, we note that the imputation accuracy may be compromised by the size of the reference panel.
NPJ Genomic MedicineBiochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.40
自引率
1.90%
发文量
67
审稿时长
17 weeks
期刊介绍:
npj Genomic Medicine is an international, peer-reviewed journal dedicated to publishing the most important scientific advances in all aspects of genomics and its application in the practice of medicine.
The journal defines genomic medicine as "diagnosis, prognosis, prevention and/or treatment of disease and disorders of the mind and body, using approaches informed or enabled by knowledge of the genome and the molecules it encodes." Relevant and high-impact papers that encompass studies of individuals, families, or populations are considered for publication. An emphasis will include coupling detailed phenotype and genome sequencing information, both enabled by new technologies and informatics, to delineate the underlying aetiology of disease. Clinical recommendations and/or guidelines of how that data should be used in the clinical management of those patients in the study, and others, are also encouraged.