Evidence map›Paper›PMID 27980782›Full record

ArticleImmunity, inflammation and disease2016

Whole genome prediction and heritability of childhood asthma phenotypes.

Michael J McGeachie, George L Clemmer, Damien C Croteau-Chonka, Peter J Castaldi, Michael H Cho, Joanne E Sordillo, Jessica A Lasky-Su, Benjamin A Raby, Kelan G Tantisira, Scott T Weiss

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Persistence of parental-reported asthma at early ages: A longitudinal twin study.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2022
    Article
  2. COPD-associated miR-145-5p is downregulated in early-decline FEVThe Journal of allergy and clinical immunology · 2021
    Article
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.

Michael J McGeachieChanning Division of Network Medicine Brigham and Women's Hospital and Harvard Medical School Boston Massachusetts.
George L ClemmerChanning Division of Network Medicine Brigham and Women's Hospital and Harvard Medical School Boston Massachusetts.
Damien C Croteau-ChonkaChanning Division of Network Medicine Brigham and Women's Hospital and Harvard Medical School Boston Massachusetts.
Peter J CastaldiChanning Division of Network Medicine Brigham and Women's Hospital and Harvard Medical School Boston Massachusetts.
Michael H ChoChanning Division of Network Medicine Brigham and Women's Hospital and Harvard Medical School Boston Massachusetts.
Joanne E SordilloChanning Division of Network Medicine Brigham and Women's Hospital and Harvard Medical School Boston Massachusetts.
Jessica A Lasky-SuChanning Division of Network Medicine Brigham and Women's Hospital and Harvard Medical School Boston Massachusetts.
Benjamin A RabyChanning Division of Network Medicine Brigham and Women's Hospital and Harvard Medical School Boston Massachusetts.
Kelan G TantisiraChanning Division of Network Medicine Brigham and Women's Hospital and Harvard Medical School Boston Massachusetts.
Scott T WeissChanning Division of Network Medicine Brigham and Women's Hospital and Harvard Medical School Boston Massachusetts.

Funding

THE PHARMACOGENETICS OF ASTHMA TREATMENTU01HL065899 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI TANTISIRA, KELAN G, WEISS, SCOTT T · 2000 to 2014
$38.5M
Using Integrative Genomics To Identify and Characterize Emphysema-Associated eQTLR01HL124233 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CASTALDI, PETER · 2014 to 2024
$7.1M
GENOMICS AND PHARMACOGENOMICS OF SYMPTOMS IN ASTHMAR01NR013391 · NINR · BRIGHAM AND WOMEN'S HOSPITAL · PI TANTISIRA, KELAN G · 2011 to 2013
$1.3M
Weight loss-induced modification of the genomic network underlying obese asthmaK01HL127265 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CROTEAU-CHONKA, DAMIEN C. · 2015 to 2019
$844k
NHLBI NIH HHS K01 HL127265NHLBI NIH HHS R01 HL124233NHLBI NIH HHS U01 HL065899NINR NIH HHS R01 NR013391
6 · The paper itself

Abstract

introductionWhile whole genome prediction (WGP) methods have recently demonstrated successes in the prediction of complex genetic diseases, they have not yet been applied to asthma and related phenotypes. Longitudinal patterns of lung function differ between asthmatics, but these phenotypes have not been assessed for heritability or predictive ability. Herein, we assess the heritability and genetic predictability of asthma-related phenotypes.

methodsWe applied several WGP methods to a well-phenotyped cohort of 832 children with mild-to-moderate asthma from CAMP. We assessed narrow-sense heritability and predictability for airway hyperresponsiveness, serum immunoglobulin E, blood eosinophil count, pre- and post-bronchodilator forced expiratory volume in 1 sec (FEV

resultsWe found that longitudinal lung function phenotypes demonstrated significant narrow-sense heritability (reduced growth, 95%; normal growth with early decline, 55%). These same phenotypes also showed significant polygenic prediction (areas under the curve [AUCs] 56% to 62%). Including additional demographic covariates in the models increased prediction 4-8%, with reduced growth increasing from 62% to 66% AUC. We found that prediction with a genomic relatedness matrix was improved by filtering available SNPs based on chromatin evidence, and this result extended across cohorts.

conclusionsLongitudinal reduced lung function growth displayed extremely high heritability. All phenotypes with significant heritability showed significant polygenic prediction. Using SNP-prioritization increased prediction across cohorts. WGP methods show promise in predicting asthma-related heritable traits.

Indexed as

GenomePhenotypePolymorphism, Single NucleotideAsthmaChildChild, PreschoolForced Expiratory VolumeGenome-Wide Association StudyHumansImmunoglobulin ELungModels, GeneticMultifactorial InheritanceImmunoglobulin EChildhood asthmaheritabilitylongitudinal lung function patternspolygenic predictionwhole‐genome prediction

Identifiers

PMID27980782
PMCPMC5134727

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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.