Literature DB >> 33257898

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

Tiffany Amariuta1,2,3,4,5, Kazuyoshi Ishigaki1,2,3,6, Hiroki Sugishita7, Tazro Ohta8,9, Masaru Koido6,10, Kushal K Dey11, Koichi Matsuda12,13, Yoshinori Murakami10, Alkes L Price3,11,14, Eiryo Kawakami8,15, Chikashi Terao6,16,17, Soumya Raychaudhuri18,19,20,21,22.   

Abstract

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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Mesh:

Year:  2020        PMID: 33257898      PMCID: PMC8049522          DOI: 10.1038/s41588-020-00740-8

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  58 in total

1.  LD Score regression distinguishes confounding from polygenicity in genome-wide association studies.

Authors:  Brendan K Bulik-Sullivan; Po-Ru Loh; Hilary K Finucane; Stephan Ripke; Jian Yang; Nick Patterson; Mark J Daly; Alkes L Price; Benjamin M Neale
Journal:  Nat Genet       Date:  2015-02-02       Impact factor: 38.330

Review 2.  Clinical use of current polygenic risk scores may exacerbate health disparities.

Authors:  Alicia R Martin; Masahiro Kanai; Yoichiro Kamatani; Yukinori Okada; Benjamin M Neale; Mark J Daly
Journal:  Nat Genet       Date:  2019-03-29       Impact factor: 38.330

3.  Leveraging Functional-Annotation Data in Trans-ethnic Fine-Mapping Studies.

Authors:  Gleb Kichaev; Bogdan Pasaniuc
Journal:  Am J Hum Genet       Date:  2015-07-16       Impact factor: 11.025

4.  Comparative genetic architectures of schizophrenia in East Asian and European populations.

Authors:  Max Lam; Chia-Yen Chen; Zhiqiang Li; Alicia R Martin; Julien Bryois; Xixian Ma; Helena Gaspar; Masashi Ikeda; Beben Benyamin; Brielin C Brown; Ruize Liu; Wei Zhou; Lili Guan; Yoichiro Kamatani; Sung-Wan Kim; Michiaki Kubo; Agung A A A Kusumawardhani; Chih-Min Liu; Hong Ma; Sathish Periyasamy; Atsushi Takahashi; Zhida Xu; Hao Yu; Feng Zhu; Wei J Chen; Stephen Faraone; Stephen J Glatt; Lin He; Steven E Hyman; Hai-Gwo Hwu; Steven A McCarroll; Benjamin M Neale; Pamela Sklar; Dieter B Wildenauer; Xin Yu; Dai Zhang; Bryan J Mowry; Jimmy Lee; Peter Holmans; Shuhua Xu; Patrick F Sullivan; Stephan Ripke; Michael C O'Donovan; Mark J Daly; Shengying Qin; Pak Sham; Nakao Iwata; Kyung S Hong; Sibylle G Schwab; Weihua Yue; Ming Tsuang; Jianjun Liu; Xiancang Ma; René S Kahn; Yongyong Shi; Hailiang Huang
Journal:  Nat Genet       Date:  2019-11-18       Impact factor: 38.330

Review 5.  Developing and evaluating polygenic risk prediction models for stratified disease prevention.

Authors:  Nilanjan Chatterjee; Jianxin Shi; Montserrat García-Closas
Journal:  Nat Rev Genet       Date:  2016-05-03       Impact factor: 53.242

6.  Bayesian inference analyses of the polygenic architecture of rheumatoid arthritis.

Authors:  Eli A Stahl; Daniel Wegmann; Gosia Trynka; Javier Gutierrez-Achury; Ron Do; Benjamin F Voight; Peter Kraft; Robert Chen; Henrik J Kallberg; Fina A S Kurreeman; Sekar Kathiresan; Cisca Wijmenga; Peter K Gregersen; Lars Alfredsson; Katherine A Siminovitch; Jane Worthington; Paul I W de Bakker; Soumya Raychaudhuri; Robert M Plenge
Journal:  Nat Genet       Date:  2012-03-25       Impact factor: 38.330

7.  The Missing Diversity in Human Genetic Studies.

Authors:  Giorgio Sirugo; Scott M Williams; Sarah A Tishkoff
Journal:  Cell       Date:  2019-03-21       Impact factor: 41.582

8.  Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores.

Authors:  Bjarni J Vilhjálmsson; Jian Yang; Hilary K Finucane; Alexander Gusev; Sara Lindström; Stephan Ripke; Giulio Genovese; Po-Ru Loh; Gaurav Bhatia; Ron Do; Tristan Hayeck; Hong-Hee Won; Sekar Kathiresan; Michele Pato; Carlos Pato; Rulla Tamimi; Eli Stahl; Noah Zaitlen; Bogdan Pasaniuc; Gillian Belbin; Eimear E Kenny; Mikkel H Schierup; Philip De Jager; Nikolaos A Patsopoulos; Steve McCarroll; Mark Daly; Shaun Purcell; Daniel Chasman; Benjamin Neale; Michael Goddard; Peter M Visscher; Peter Kraft; Nick Patterson; Alkes L Price
Journal:  Am J Hum Genet       Date:  2015-10-01       Impact factor: 11.025

9.  Partitioning heritability by functional annotation using genome-wide association summary statistics.

Authors:  Hilary K Finucane; Brendan Bulik-Sullivan; Alexander Gusev; Gosia Trynka; Yakir Reshef; Po-Ru Loh; Verneri Anttila; Han Xu; Chongzhi Zang; Kyle Farh; Stephan Ripke; Felix R Day; Shaun Purcell; Eli Stahl; Sara Lindstrom; John R B Perry; Yukinori Okada; Soumya Raychaudhuri; Mark J Daly; Nick Patterson; Benjamin M Neale; Alkes L Price
Journal:  Nat Genet       Date:  2015-09-28       Impact factor: 38.330

10.  Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations.

Authors:  Amit V Khera; Mark Chaffin; Krishna G Aragam; Mary E Haas; Carolina Roselli; Seung Hoan Choi; Pradeep Natarajan; Eric S Lander; Steven A Lubitz; Patrick T Ellinor; Sekar Kathiresan
Journal:  Nat Genet       Date:  2018-08-13       Impact factor: 38.330

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  29 in total

Review 1.  Recent advances in understanding the genetic basis of systemic lupus erythematosus.

Authors:  Eunji Ha; Sang-Cheol Bae; Kwangwoo Kim
Journal:  Semin Immunopathol       Date:  2021-11-03       Impact factor: 9.623

Review 2.  Cross-ancestry genomic research: time to close the gap.

Authors:  Elizabeth G Atkinson; Sevim B Bianchi; Gordon Y Ye; José Jaime Martínez-Magaña; Grace E Tietz; Janitza L Montalvo-Ortiz; Paola Giusti-Rodriguez; Abraham A Palmer; Sandra Sanchez-Roige
Journal:  Neuropsychopharmacology       Date:  2022-06-23       Impact factor: 8.294

Review 3.  Use of Polygenic Risk Scores for Coronary Heart Disease in Ancestrally Diverse Populations.

Authors:  Ozan Dikilitas; Daniel J Schaid; Catherine Tcheandjieu; Shoa L Clarke; Themistocles L Assimes; Iftikhar J Kullo
Journal:  Curr Cardiol Rep       Date:  2022-07-07       Impact factor: 3.955

Review 4.  The Propagation of Racial Disparities in Cardiovascular Genomics Research.

Authors:  Shoa L Clarke; Themistocles L Assimes; Catherine Tcheandjieu
Journal:  Circ Genom Precis Med       Date:  2021-08-31

5.  Recommendations on the use and reporting of race, ethnicity, and ancestry in genetic research: Experiences from the NHLBI TOPMed program.

Authors:  Alyna T Khan; Stephanie M Gogarten; Caitlin P McHugh; Adrienne M Stilp; Tamar Sofer; Michael L Bowers; Quenna Wong; L Adrienne Cupples; Bertha Hidalgo; Andrew D Johnson; Merry-Lynn N McDonald; Stephen T McGarvey; Matthew R G Taylor; Stephanie M Fullerton; Matthew P Conomos; Sarah C Nelson
Journal:  Cell Genom       Date:  2022-07-26

6.  A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits.

Authors:  Mingxuan Cai; Jiashun Xiao; Shunkang Zhang; Xiang Wan; Hongyu Zhao; Gang Chen; Can Yang
Journal:  Am J Hum Genet       Date:  2021-03-25       Impact factor: 11.025

Review 7.  Beyond GWAS: from simple associations to functional insights.

Authors:  Kazuyoshi Ishigaki
Journal:  Semin Immunopathol       Date:  2021-10-04       Impact factor: 9.623

8.  Ethical concerns relating to genetic risk scores for suicide.

Authors:  Anna Docherty; Brent Kious; Teneille Brown; Leslie Francis; Louisa Stark; Brooks Keeshin; Jeffrey Botkin; Emily DiBlasi; Doug Gray; Hilary Coon
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2021-09-01       Impact factor: 3.568

9.  Cell type-specific and cross-population polygenic risk score analyses of MIR137 gene pathway in schizophrenia.

Authors:  Yin Yao; Wei Guo; Siwei Zhang; Hao Yu; Hao Yan; Hanwen Zhang; Alan R Sanders; Weihua Yue; Jubao Duan
Journal:  iScience       Date:  2021-06-25

Review 10.  Monogenic and Polygenic Models of Coronary Artery Disease.

Authors:  Evan D Muse; Shang-Fu Chen; Ali Torkamani
Journal:  Curr Cardiol Rep       Date:  2021-07-01       Impact factor: 3.955

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