Evidence map›Paper›PMID 37710962›Full record

ArticleHGG advances2023

Evaluating genomic polygenic risk scores for childhood acute lymphoblastic leukemia in Latinos.

Soyoung Jeon, Ying Chu Lo, Libby M Morimoto, Catherine Metayer, Xiaomei Ma, Joseph L Wiemels, Adam J de Smith, Charleston W K Chiang

Open access · goldAbstract read
In one paragraph

Article in HGG advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Exploratory Association of 5' and 3' UTRs Variants inInternational journal of molecular sciences · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. The Interrelationship between Preconception Folate Nutritional Intake and Child Genetic Liability in the Risk of Childhood Acute Lymphoblastic Leukemia.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Soyoung JeonCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Ying Chu LoCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Libby M MorimotoDivision of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Catherine MetayerDivision of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Xiaomei MaDepartment of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA.
Joseph L WiemelsCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Adam J de SmithCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Charleston W K ChiangCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, Los Angeles, CA, USA. Electronic address: charleston.chiang@med.usc.edu.
University of Southern California · USUniversity of California, Berkeley · USYale University · US

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SMITH, MARTYN T · 1987 to 2025
$74.6M
Environmental and Molecular Epidemiology of Childhood LeukemiaR01ES009137 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI METAYER, CATHERINE · 1999 to 2013
$21.1M
Genome-Wide Association Study of Childhood Leukemia by Hispanic StatusR01CA155461 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MA, XIAOMEI, WIEMELS, JOSEPH LEO · 2011 to 2014
$4.1M
Project 3: Prenatal Exposure, DNA Methylation & Childhood LeukemiaP01ES018172 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI METAYER, CATHERINE · 2009 to 2013
$3.7M
Understanding the Increased Risk of Childhood Acute Lymphoblastic Leukemia in LatinosR01CA262263 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Adam De Smith · 2022 to 2026
$3.4M
Perinatal immune development and risk of childhood acute lymphoblastic leukemiaR01CA175737 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MA, XIAOMEI, WIEMELS, JOSEPH LEO · 2014 to 2018
$3.0M
Support For Infrastructure of Childhood Leukemia Environmental ResearchR24ES028524 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Catherine Metayer · 2017 to 2026
$2.3M
An evolutionary framework to elucidate and interpret the genetic architecture of complex traits in diverse populations - diversity supplementR35GM142783 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHIANG, CHARLESTON · 2021 to 2025
$2.2M
Variant to Function Mapping of B-ALL Risk LociR01CA292941 · NCI · BOSTON CHILDREN'S HOSPITAL · PI Adam De Smith, Vijay Ganesh Sankaran · 2024 to 2026
$2.0M
NCCDPHP CDC HHS U58 DP003862NCI NIH HHS HHSN261201000034CNCI NIH HHS HHSN261201000035CNCI NIH HHS HHSN261201000035INCI NIH HHS HHSN261201000140CNCI NIH HHS R01 CA155461NCI NIH HHS R01 CA175737NCI NIH HHS R01 CA262263NCI NIH HHS R01 CA292941NIEHS NIH HHS P01 ES018172NIEHS NIH HHS P42 ES004705NIEHS NIH HHS R01 ES009137NIEHS NIH HHS R24 ES028524NIGMS NIH HHS R35 GM142783Wellcome Trust
6 · The paper itself

Abstract

The utility of polygenic risk score (PRS) models has not been comprehensively evaluated for childhood acute lymphoblastic leukemia (ALL), the most common type of cancer in children. Previous PRS models for ALL were based on significant loci observed in genome-wide association studies (GWASs), even though genomic PRS models have been shown to improve prediction performance for a number of complex diseases. In the United States, Latino (LAT) children have the highest risk of ALL, but the transferability of PRS models to LAT children has not been studied. In this study, we constructed and evaluated genomic PRS models based on either non-Latino White (NLW) GWAS or a multi-ancestry GWAS. We found that the best PRS models performed similarly between held-out NLW and LAT samples (PseudoR

Indexed as

Genetic Risk ScorePrecursor Cell Lymphoblastic Leukemia-LymphomaChildGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHispanic or LatinoHumansRacial GroupsUnited StatesWhiteacute lymphoblastic leukemialatinospolygenic risk scoresrisk prediction

Identifiers

PMID37710962
PMCPMC10550840
OpenAlexW4386753050

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.