Evidence map›Paper›PMID 33257898›Full record

ArticleNature genetics2020

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

Tiffany Amariuta, Kazuyoshi Ishigaki, Hiroki Sugishita, Tazro Ohta, Masaru Koido, Kushal K Dey, Koichi Matsuda, Yoshinori Murakami, Alkes L Price, Eiryo Kawakami and 2 more

Abstract read
In one paragraph

Article in Nature genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

111 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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51 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Tiffany Amariuta *Center for Data Sciences, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-0121-1726
Kazuyoshi Ishigaki *Center for Data Sciences, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-2881-0657
Hiroki SugishitaLaboratory for Developmental Genetics, RIKEN Center for Integrative Medical Sciences (IMS), Kanagawa, Japan.ORCID http://orcid.org/0000-0002-6561-8261
Tazro OhtaMedical Sciences Innovation Hub Program, RIKEN, Kanagawa, Japan.ORCID http://orcid.org/0000-0003-3777-5945
Masaru KoidoLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.ORCID http://orcid.org/0000-0002-0348-0666
Kushal K DeyDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID http://orcid.org/0000-0002-3520-2345
Koichi MatsudaLaboratory of Genome Technology, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0001-7292-2686
Yoshinori MurakamiDivision of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-2826-4396
Alkes L PriceProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-2971-7975
Eiryo KawakamiMedical Sciences Innovation Hub Program, RIKEN, Kanagawa, Japan.ORCID http://orcid.org/0000-0001-9955-4342
Chikashi TeraoLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.ORCID http://orcid.org/0000-0002-6452-4095
Soumya RaychaudhuriCenter for Data Sciences, Harvard Medical School, Boston, MA, USA. soumya@broadinstitute.org.ORCID http://orcid.org/0000-0002-1901-8265

Funding

Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Discovery and Functional Impact of Common and Rare Variants in RAR01AR063759 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI Soumya Raychaudhuri · 2013 to 2026
$5.4M
Powering whole genome sequence-based genetic discovery for common human diseases- Extended 2021-2022.U01HG009088 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIN, XIHONG, NEALE, BENJAMIN MICHAEL · 2016 to 2021
$5.1M
RA-SLE Molecular Deconstruction Leadership CenterUH2AR067677 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI BRENNER, MICHAEL B., RAYCHAUDHURI, SOUMYA · 2014 to 2020
$4.3M
Functionally specialized components of disease heritability in ENCODE dataU01HG009379 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L, RAYCHAUDHURI, SOUMYA · 2017 to 2021
$2.5M
Medical Research Council MR/R013926/1NHGRI NIH HHS T32 HG002295NHGRI NIH HHS U01 HG009088NHGRI NIH HHS U01 HG009379NIAMS NIH HHS R01 AR063759NIAMS NIH HHS UH2 AR067677
6 · The paper itself

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 R

Indexed as

Asian PeopleBase SequenceComputational BiologyEnhancer Elements, GeneticGene Expression RegulationGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansModels, GeneticMolecular Sequence AnnotationMultifactorial InheritancePolymorphism, Single NucleotideWhite People

Identifiers

PMID33257898
PMCPMC8049522

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.