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
关键词
D O I
暂无
中图分类号
学科分类号
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.
引用
收藏
页码:1346 / 1354
页数:8
相关论文
共 35 条
  • [1] Improving the trans-ancestry portability of polygenic risk scores by prioritizing variants in predicted cell-type-specific regulatory elements
    Amariuta, Tiffany
    Ishigaki, Kazuyoshi
    Sugishita, Hiroki
    Ohta, Tazro
    Koido, Masaru
    Dey, Kushal K.
    Matsuda, Koichi
    Murakami, Yoshinori
    Price, Alkes L.
    Kawakami, Eiryo
    Terao, Chikashi
    Raychaudhuri, Soumya
    NATURE GENETICS, 2020, 52 (12) : 1346 - 1354
  • [2] Improving trans-ethnic portability of polygenic risk scores with predicted expression traits
    Liang, Yanyu
    Lappalainen, Tuuli
    Manichaikul, Ani
    Palmer, Abraham A.
    Wheeler, Heather
    Im, Hae Kyung
    GENETIC EPIDEMIOLOGY, 2020, 44 (05) : 501 - 501
  • [3] Leveraging trans-ancestry polygenic risk scores and machine learning to improve precision psychiatry for bipolar disorder
    Feuer, Kyra
    Kember, Rachel
    BIPOLAR DISORDERS, 2024, 26 : 91 - 91
  • [4] Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations
    Ge, Tian
    Irvin, Marguerite R.
    Patki, Amit
    Srinivasasainagendra, Vinodh
    Lin, Yen-Feng
    Tiwari, Hemant K.
    Armstrong, Nicole D.
    Benoit, Barbara
    Chen, Chia-Yen
    Choi, Karmel W.
    Cimino, James J.
    Davis, Brittney H.
    Dikilitas, Ozan
    Etheridge, Bethany
    Feng, Yen-Chen Anne
    Gainer, Vivian
    Huang, Hailiang
    Jarvik, Gail P.
    Kachulis, Christopher
    Kenny, Eimear E.
    Khan, Atlas
    Kiryluk, Krzysztof
    Kottyan, Leah
    Kullo, Iftikhar J.
    Lange, Christoph
    Lennon, Niall
    Leong, Aaron
    Malolepsza, Edyta
    Miles, Ayme D.
    Murphy, Shawn
    Namjou, Bahram
    Narayan, Renuka
    O'Connor, Mark J.
    Pacheco, Jennifer A.
    Perez, Emma
    Rasmussen-Torvik, Laura J.
    Rosenthal, Elisabeth A.
    Schaid, Daniel
    Stamou, Maria
    Udler, Miriam S.
    Wei, Wei-Qi
    Weiss, Scott T.
    Ng, Maggie C. Y.
    Smoller, Jordan W.
    Lebo, Matthew S.
    Meigs, James B.
    Limdi, Nita A.
    Karlson, Elizabeth W.
    GENOME MEDICINE, 2022, 14 (01)
  • [5] Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations
    Tian Ge
    Marguerite R. Irvin
    Amit Patki
    Vinodh Srinivasasainagendra
    Yen-Feng Lin
    Hemant K. Tiwari
    Nicole D. Armstrong
    Barbara Benoit
    Chia-Yen Chen
    Karmel W. Choi
    James J. Cimino
    Brittney H. Davis
    Ozan Dikilitas
    Bethany Etheridge
    Yen-Chen Anne Feng
    Vivian Gainer
    Hailiang Huang
    Gail P. Jarvik
    Christopher Kachulis
    Eimear E. Kenny
    Atlas Khan
    Krzysztof Kiryluk
    Leah Kottyan
    Iftikhar J. Kullo
    Christoph Lange
    Niall Lennon
    Aaron Leong
    Edyta Malolepsza
    Ayme D. Miles
    Shawn Murphy
    Bahram Namjou
    Renuka Narayan
    Mark J. O’Connor
    Jennifer A. Pacheco
    Emma Perez
    Laura J. Rasmussen-Torvik
    Elisabeth A. Rosenthal
    Daniel Schaid
    Maria Stamou
    Miriam S. Udler
    Wei-Qi Wei
    Scott T. Weiss
    Maggie C. Y. Ng
    Jordan W. Smoller
    Matthew S. Lebo
    James B. Meigs
    Nita A. Limdi
    Elizabeth W. Karlson
    Genome Medicine, 14
  • [6] Impact of the trans-ancestry polygenic risk score on type 2 diabetes risk, onset age and progression among population in Taiwan
    Wang, Shi-Heng
    Huang, Yu-Chuen
    Cheng, Chun-Wen
    Chang, Ya-Wen
    Liao, Wen-Ling
    AMERICAN JOURNAL OF PHYSIOLOGY-ENDOCRINOLOGY AND METABOLISM, 2024, 326 (05): : E547 - E554
  • [7] Cell-type-specific enrichment of risk-associated regulatory elements at ovarian cancer susceptibility loci
    Coetzee, Simon G.
    Shen, Howard C.
    Hazelett, Dennis J.
    Lawrenson, Kate
    Kuchenbaecker, Karoline
    Tyrer, Jonathan
    Rhie, Suhn K.
    Levanon, Keren
    Karst, Alison
    Drapkin, Ronny
    Ramus, Susan J.
    Couch, Fergus J.
    Offit, Kenneth
    Chenevix-Trench, Georgia
    Monteiro, Alvaro N. A.
    Antoniou, Antonis
    Freedman, Matthew
    Coetzee, Gerhard A.
    Pharoah, Paul D. P.
    Noushmehr, Houtan
    Gayther, Simon A.
    HUMAN MOLECULAR GENETICS, 2015, 24 (13) : 3595 - 3607
  • [8] Cell-type-specific Alzheimer's disease polygenic risk scores are associated with distinct disease processes in Alzheimer's disease
    Yang, Hyun-Sik
    Teng, Ling
    Kang, Daniel
    Menon, Vilas
    Ge, Tian
    Finucane, Hilary K.
    Schultz, Aaron P.
    Properzi, Michael
    Klein, Hans-Ulrich
    Chibnik, Lori B.
    Schneider, Julie A.
    Bennett, David A.
    Hohman, Timothy J.
    Mayeux, Richard P.
    Johnson, Keith A.
    De Jager, Philip L.
    Sperling, Reisa A.
    NATURE COMMUNICATIONS, 2023, 14 (01)
  • [9] Cell-type-specific Alzheimer’s disease polygenic risk scores are associated with distinct disease processes in Alzheimer’s disease
    Hyun-Sik Yang
    Ling Teng
    Daniel Kang
    Vilas Menon
    Tian Ge
    Hilary K. Finucane
    Aaron P. Schultz
    Michael Properzi
    Hans-Ulrich Klein
    Lori B. Chibnik
    Julie A. Schneider
    David A. Bennett
    Timothy J. Hohman
    Richard P. Mayeux
    Keith A. Johnson
    Philip L. De Jager
    Reisa A. Sperling
    Nature Communications, 14
  • [10] Fruitless decommissions regulatory elements to implement cell-type-specific neuronal masculinization
    Brovkina, Margarita V.
    Duffie, Rachel
    Burtis, Abbigayl E. C.
    Clowney, E. Josephine
    PLOS GENETICS, 2021, 17 (02):