Evidence map›Paper›PMID 37890495›Full record

ArticleAmerican journal of human genetics2023

Power of inclusion: Enhancing polygenic prediction with admixed individuals.

Yosuke Tanigawa, Manolis Kellis

Open access · hybridAbstract read
In one paragraph

Article in American journal of human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

16 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  4. Review
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  6. The Encyclopedia of DNA Elements.bioRxiv : the preprint server for biology · 2026
    Article
  7. An introduction to polygenic scores - methodological basics and recent advances.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    Article
  8. EpiATLAS - a reference for human epigenomic research.bioRxiv : the preprint server for biology · 2026
    Article
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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

2 authors at 1 institution in 1 country.

Yosuke TanigawaComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Electronic address: tanigawa@mit.edu.
Manolis KellisComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Electronic address: manoli@mit.edu.
Broad Institute · US

Funding

Single Cell Transcriptomic and Epigenomic Dissection of Opioid and Cocaine Responses in HIVU01DA053631 · NIDA · BROAD INSTITUTE, INC. · PI HEIMAN, MYRIAM, KELLIS, MANOLIS · 2021 to 2025
$12.6M
Mapping the vulnerable locus coeruleus pathways in aging and ADU01AG077227 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Kwanghun Chung, Li-Huei Tsai · 2022 to 2026
$9.6M
Identification of TDP-43 Modifiers Through Single-Cell Transcriptional and Epigenomic Dissection of ALS and FTLD-MNDR01NS127187 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BELZIL, VERONIQUE, DONNELLY, CHRISTOPHER JAMES · 2021 to 2025
$9.1M
Epigenomic, transcriptional and cellular dissection of Alzheimer's variantsR01AG058002 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HYMAN, BRADLEY T., JAENISCH, RUDOLF · 2017 to 2021
$7.9M
Elucidating the Molecular Mechanisms of Neuropsychiatric Symptoms in Alzheimer's DiseaseR01AG062335 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS, TSAI, LI-HUEI · 2018 to 2022
$6.5M
Single-cell epigenomic and trancriptional dissection of sex-specific differences in Alzheimer’s DiseaseR01AG074003 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS, TSAI, LI-HUEI · 2021 to 2025
$5.4M
Single-cell transcriptional and epigenomic dissection of Alzheimer's Disease and Related DementiasU01NS110453 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS, TSAI, LI-HUEI · 2018 to 2020
$4.0M
Cell type specific epigenetic analysis to understand complex mechanisms underlying Alzheimer's disease phenotypesRF1AG054012 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS, TSAI, LI-HUEI · 2016 to 2016
$3.9M
Single-Cell Transcriptional and Epigenomic Dissection to Identify Therapeutic Targets for ALS and FTDR01AG067151 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BELZIL, VERONIQUE, KELLIS, MANOLIS · 2021 to 2025
$3.7M
Dissection of endosomal trafficking mechanisms in Alzheimer's DiseaseRF1AG062377 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI TSAI, LI-HUEI · 2018 to 2018
$3.6M
Construction of an Integrated Immune-Vascular Brain - Chip as a Platform for the Study, Drug Screening, and Treatments of Alzheimer's DiseaseUH3NS115064 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BLANCHARD, JOEL WILLIAM, KELLIS, MANOLIS · 2021 to 2023
$3.5M
Single-cell multi-region transcriptional and epigenomic dissection of VCID.RF1NS129032 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HEIMAN, MYRIAM, KELLIS, MANOLIS · 2022 to 2022
$3.1M
NHGRI NIH HHS R01 HG008155NIA NIH HHS R01 AG058002NIA NIH HHS R01 AG062335NIA NIH HHS R01 AG067151NIA NIH HHS R01 AG074003NIA NIH HHS R01 AG081017NIA NIH HHS R56 AG067151NIA NIH HHS RF1 AG054012NIA NIH HHS RF1 AG062377NIA NIH HHS U01 AG077227NIDA NIH HHS U01 DA053631NIMH NIH HHS R01 MH109978NIMH NIH HHS U01 MH119509NINDS NIH HHS R01 NS127187NINDS NIH HHS R01 NS129032NINDS NIH HHS RF1 NS129032NINDS NIH HHS U01 NS110453NINDS NIH HHS UG3 NS115064NINDS NIH HHS UH3 NS115064
6 · The paper itself

Abstract

Admixed individuals offer unique opportunities for addressing limited transferability in polygenic scores (PGSs), given the substantial trans-ancestry genetic correlation in many complex traits. However, they are rarely considered in PGS training, given the challenges in representing ancestry-matched linkage-disequilibrium reference panels for admixed individuals. Here we present inclusive PGS (iPGS), which captures ancestry-shared genetic effects by finding the exact solution for penalized regression on individual-level data and is thus naturally applicable to admixed individuals. We validate our approach in a simulation study across 33 configurations with varying heritability, polygenicity, and ancestry composition in the training set. When iPGS is applied to n = 237,055 ancestry-diverse individuals in the UK Biobank, it shows the greatest improvements in Africans by 48.9% on average across 60 quantitative traits and up to 50-fold improvements for some traits (neutrophil count, R

Indexed as

Multifactorial InheritanceWhite PeopleAsian PeopleBlack PeopleGenome-Wide Association StudyHumansPhenotypediversityElastic Netgenetic risk scoreLassopolygenic risk scorepolygenic scorepopulation biobankspopulation stratificationtransferabilityUK Biobank

Identifiers

PMID37890495
PMCPMC10645553
OpenAlexW4387996699

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.