Improving the trans-ancestry portability of polygenic risk scores by prioritizing variants in predicted cell-type-specific regulatory elements

被引:0
|
作者
Tiffany Amariuta
Kazuyoshi Ishigaki
Hiroki Sugishita
Tazro Ohta
Masaru Koido
Kushal K. Dey
Koichi Matsuda
Yoshinori Murakami
Alkes L. Price
Eiryo Kawakami
Chikashi Terao
Soumya Raychaudhuri
机构
[1] Harvard Medical School,Center for Data Sciences
[2] Harvard Medical School,Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women’s Hospital
[3] Broad Institute of MIT and Harvard,Program in Medical and Population Genetics
[4] Harvard Medical School,Department of Biomedical Informatics
[5] Harvard University,Graduate School of Arts and Sciences
[6] RIKEN Center for Integrative Medical Sciences,Laboratory for Statistical and Translational Genetics
[7] RIKEN Center for Integrative Medical Sciences (IMS),Laboratory for Developmental Genetics
[8] RIKEN,Medical Sciences Innovation Hub Program
[9] Database Center for Life Science,Division of Molecular Pathology, Institute of Medical Science
[10] Joint Support-Center for Data Science Research,Department of Epidemiology
[11] Research Organization of Information and Systems,Laboratory of Genome Technology, Human Genome Center, Institute of Medical Science
[12] The University of Tokyo,Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences
[13] Harvard T.H. Chan School of Public Health,Department of Biostatistics
[14] The University of Tokyo,Artificial Intelligence Medicine, Graduate School of Medicine
[15] The University of Tokyo,Department of Applied Genetics, The School of Pharmaceutical Sciences
[16] Harvard T.H. Chan School of Public Health,Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre
[17] Chiba University,undefined
[18] Clinical Research Center,undefined
[19] Shizuoka General Hospital,undefined
[20] University of Shizuoka,undefined
[21] The University of Manchester,undefined
来源
Nature Genetics | 2020年 / 52卷
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摘要
Poor trans-ancestry portability of polygenic risk scores is a consequence of Eurocentric genetic studies and limited knowledge of shared causal variants. Leveraging regulatory annotations may improve portability by prioritizing functional over tagging variants. We constructed a resource of 707 cell-type-specific IMPACT regulatory annotations by aggregating 5,345 epigenetic datasets to predict binding patterns of 142 transcription factors across 245 cell types. We then partitioned the common SNP heritability of 111 genome-wide association study summary statistics of European (average n ≈ 189,000) and East Asian (average n ≈ 157,000) origin. IMPACT annotations captured consistent SNP heritability between populations, suggesting prioritization of shared functional variants. Variant prioritization using IMPACT resulted in increased trans-ancestry portability of polygenic risk scores from Europeans to East Asians across all 21 phenotypes analyzed (49.9% mean relative increase in R2). Our study identifies a crucial role for functional annotations such as IMPACT to improve the trans-ancestry portability of genetic data.
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页码:1346 / 1354
页数:8
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