Literature DB >> 24450326

The potential to predict the course of childhood asthma.

Daniel W Belsky1, Malcolm R Sears.   

Abstract

Many children experience pre-school or early childhood wheezing. In a significant proportion symptoms disappear as the child grows, but others have persistent and troublesome asthma which can be life-long. Tools to predict course of disease in young children are a priority for families and clinicians. This review summarizes evidence from several longitudinal population-based birth-cohort studies that have identified risk factors for persistence and remission of childhood asthma. These factors include clinical characteristics, environmental and other exposures, familial factors, biomarkers of allergic inflammation, measurements of lung function and airway responsiveness, and genetic variants. This review also introduces the concept of polygenic risk and genetic risk scores, and describes results from a recent study that suggests promise for the use of genetic information in predicting the course of childhood asthma. We conclude with a discussion of implications and future directions.

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Year:  2014        PMID: 24450326      PMCID: PMC3949175          DOI: 10.1586/17476348.2014.879826

Source DB:  PubMed          Journal:  Expert Rev Respir Med        ISSN: 1747-6348            Impact factor:   3.772


  59 in total

1.  Longitudinal study of childhood wheezy bronchitis and asthma: outcome at age 42.

Authors:  Elisabeth Horak; Anna Lanigan; Mary Roberts; Liam Welsh; John Wilson; John B Carlin; Anthony Olinsky; Colin F Robertson
Journal:  BMJ       Date:  2003-02-22

2.  Using genetics to predict the natural history of asthma?

Authors:  John W Holloway; Syed H Arshad; Stephen T Holgate
Journal:  J Allergy Clin Immunol       Date:  2010-08       Impact factor: 10.793

Review 3.  Asthma genetics: from linear to multifactorial approaches.

Authors:  Stefano Guerra; Fernando D Martinez
Journal:  Annu Rev Med       Date:  2008       Impact factor: 13.739

4.  Microbial exposure during early life has persistent effects on natural killer T cell function.

Authors:  Torsten Olszak; Dingding An; Sebastian Zeissig; Miguel Pinilla Vera; Julia Richter; Andre Franke; Jonathan N Glickman; Reiner Siebert; Rebecca M Baron; Dennis L Kasper; Richard S Blumberg
Journal:  Science       Date:  2012-03-22       Impact factor: 47.728

5.  Exposure to environmental microorganisms and childhood asthma.

Authors:  Markus J Ege; Melanie Mayer; Anne-Cécile Normand; Jon Genuneit; William O C M Cookson; Charlotte Braun-Fahrländer; Dick Heederik; Renaud Piarroux; Erika von Mutius
Journal:  N Engl J Med       Date:  2011-02-24       Impact factor: 91.245

6.  Discriminative properties of two predictive indices for asthma diagnosis in a sample of preschoolers with recurrent wheezing.

Authors:  Carlos E Rodriguez-Martinez; Monica P Sossa-Briceño; Jose A Castro-Rodriguez
Journal:  Pediatr Pulmonol       Date:  2011-05-27

7.  Identification of IL6R and chromosome 11q13.5 as risk loci for asthma.

Authors:  Manuel A R Ferreira; Melanie C Matheson; David L Duffy; Guy B Marks; Jennie Hui; Peter Le Souëf; Patrick Danoy; Svetlana Baltic; Dale R Nyholt; Mark Jenkins; Catherine Hayden; Gonneke Willemsen; Wei Ang; Mikko Kuokkanen; John Beilby; Faang Cheah; Eco J C de Geus; Adaikalavan Ramasamy; Sailaja Vedantam; Veikko Salomaa; Pamela A Madden; Andrew C Heath; John L Hopper; Peter M Visscher; Bill Musk; Stephen R Leeder; Marjo-Riitta Jarvelin; Craig Pennell; Dorret I Boomsma; Joel N Hirschhorn; Haydn Walters; Nicholas G Martin; Alan James; Graham Jones; Michael J Abramson; Colin F Robertson; Shyamali C Dharmage; Matthew A Brown; Grant W Montgomery; Philip J Thompson
Journal:  Lancet       Date:  2011-09-10       Impact factor: 79.321

Review 8.  Farm living: effects on childhood asthma and allergy.

Authors:  Erika von Mutius; Donata Vercelli
Journal:  Nat Rev Immunol       Date:  2010-11-09       Impact factor: 53.106

Review 9.  Natural history of asthma: persistence versus progression-does the beginning predict the end?

Authors:  Reynold A Panettieri; Ronina Covar; Evalyn Grant; Elizabeth V Hillyer; Leonard Bacharier
Journal:  J Allergy Clin Immunol       Date:  2008-03       Impact factor: 10.793

10.  A large-scale, consortium-based genomewide association study of asthma.

Authors:  Miriam F Moffatt; Ivo G Gut; Florence Demenais; David P Strachan; Emmanuelle Bouzigon; Simon Heath; Erika von Mutius; Martin Farrall; Mark Lathrop; William O C M Cookson
Journal:  N Engl J Med       Date:  2010-09-23       Impact factor: 91.245

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  3 in total

1.  Lifestyle, sick leave and work ability among Norwegian employees with asthma-A population-based cross-sectional survey conducted in Telemark County, Norway.

Authors:  Marit Müller De Bortoli; Anne Kristin Møller Fell; Martin Veel Svendsen; Paul K Henneberger; Johny Kongerud; Inger M Oellingrath
Journal:  PLoS One       Date:  2020-04-17       Impact factor: 3.240

Review 2.  A systematic review of predictive models for asthma development in children.

Authors:  Gang Luo; Flory L Nkoy; Bryan L Stone; Darell Schmick; Michael D Johnson
Journal:  BMC Med Inform Decis Mak       Date:  2015-11-28       Impact factor: 2.796

Review 3.  Asthma.

Authors:  Stephen T Holgate; Sally Wenzel; Dirkje S Postma; Scott T Weiss; Harald Renz; Peter D Sly
Journal:  Nat Rev Dis Primers       Date:  2015-09-10       Impact factor: 52.329

  3 in total

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