Evidence map›Paper›PMID 42326791›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Polygenic risk scores associate with asthma phenotypes and proteomic analyses implicate IL1R1 in two family-based studies.

Sanghun Lee, Matthew Moll, Kevin Mendez, Nicole Prince, Jessica Lasky-Su, Sharon M Lutz, Scott T Weiss, Christoph Lange, Rachel S Kelly, Julian Hecker

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Sanghun LeeChanning Division of Network Medicine, Mass General Brigham and Harvard Medical School, Boston, MA, USA.
Matthew MollChanning Division of Network Medicine, Mass General Brigham and Harvard Medical School, Boston, MA, USA.
Kevin MendezChanning Division of Network Medicine, Mass General Brigham and Harvard Medical School, Boston, MA, USA.
Nicole PrinceChanning Division of Network Medicine, Mass General Brigham and Harvard Medical School, Boston, MA, USA.
Jessica Lasky-SuChanning Division of Network Medicine, Mass General Brigham and Harvard Medical School, Boston, MA, USA.
Sharon M LutzDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Scott T WeissChanning Division of Network Medicine, Mass General Brigham and Harvard Medical School, Boston, MA, USA.
Christoph LangeChanning Division of Network Medicine, Mass General Brigham and Harvard Medical School, Boston, MA, USA.
Rachel S KellyChanning Division of Network Medicine, Mass General Brigham and Harvard Medical School, Boston, MA, USA.
Julian HeckerChanning Division of Network Medicine, Mass General Brigham and Harvard Medical School, Boston, MA, USA.

Funding

The Genetic Epidemiology of Asthma in Costa RicaR37HL066289 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI WEISS, SCOTT T · 2007 to 2015
$14.6M
Studies of Rare Genetic Variation in the Isolated Population of SardiniaR01HL117626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2013 to 2016
$10.5M
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
Rare variants and NHLBI traits in deeply phenotyped cohortsU01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2017 to 2018
$5.6M
Better utilization of omics data to inform precision medicine for asthma throughout the life courseR01HL169300 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI JESSICA A LASKY-SU · 2024 to 2026
$2.3M
The role of sex in genetic association studies of depressionR01MH129337 · NIMH · HARVARD PILGRIM HEALTH CARE, INC. · PI Sharon Marie Lutz · 2022 to 2026
$2.1M
Leveraging research and clinical cohorts to improve Obstructive Sleep Apnea subtypingR01HL176714 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Ali Azarbarzin, Sharon Marie Lutz · 2025 to 2026
$1.7M
Identifying causal mechanisms of metabolites in family-based association studies of childhood asthmaR01HL176792 · NHLBI · HARVARD PILGRIM HEALTH CARE, INC. · PI LUTZ, SHARON MARIE · 2025 to 2025
$1.5M
Integrating multi-omics data to understand asthma heterogeneity and endotypesK01HL169756 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI HECKER, JULIAN ERIK · 2024 to 2025
$355k
NHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS K01 HL169756NHLBI NIH HHS R01 HL117626NHLBI NIH HHS R01 HL120393NHLBI NIH HHS R01 HL169300NHLBI NIH HHS R01 HL176714NHLBI NIH HHS R01 HL176792NHLBI NIH HHS R37 HL066289NHLBI NIH HHS U01 HL120393NIEHS NIH HHS HHSN268201600032CNIMH NIH HHS R01 MH129337
6 · The paper itself

Abstract

Despite its high prevalence and the discovery of hundreds of genetic associations, the genetic determinants and heterogeneous manifestations of asthma remain incompletely understood. Incorporating polygenic risk scores (PRS) into asthma research offers a powerful approach to quantify inherited susceptibility, refine risk profiles, and advance mechanistic understanding of disease development. For this study, we leveraged whole-genome sequencing (WGS) data from two family-based cohorts of childhood asthma - the Genetics of Asthma in Costa Rica Study (GACRS) and the Childhood Asthma Management Program (CAMP) - to examine the transmission profiles of externally derived asthma PRS and their associations with clinical phenotypes in children with asthma. To further elucidate molecular mechanisms, we integrated large-scale external genome-wide association study (GWAS) summary statistics and genetic prediction models of protein abundance in a two-step proteome-wide association study (PWAS) of asthma. Our findings provide robust evidence supporting the validity of externally derived asthma PRS (asthma PRS association p-value p = 10

Identifiers

PMID42326791
PMCPMC13278261

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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.