| scholarly article | Q13442814 |
| P356 | DOI | 10.1111/ALL.13833 |
| P698 | PubMed publication ID | 31004501 |
| P50 | author | Olga A. Ivanova | Q64915655 |
| Susanne Vijverberg | Q89048879 | ||
| A-H Maitland-van der Zee | Q89048888 | ||
| Levi B Richards | Q90028427 | ||
| P2093 | author name string | Peter J Sterk | |
| Anne H Neerincx | |||
| Anirban Sinha | |||
| P2860 | cites work | Initial sequencing and analysis of the human genome | Q21045365 |
| Finding the missing heritability of complex diseases | Q22122198 | ||
| Mistaken identifiers: gene name errors can be introduced inadvertently when using Excel in bioinformatics | Q24803868 | ||
| Genome-wide association study meta-analysis identifies seven new rheumatoid arthritis risk loci | Q28281906 | ||
| Genome-wide association analysis in asthma subjects identifies SPATS2L as a novel bronchodilator response gene | Q28481005 | ||
| Assessing the reproducibility of asthma candidate gene associations, using genome-wide data | Q33415299 | ||
| Metabolomics analysis identifies different metabotypes of asthma severity | Q33587291 | ||
| The metabolomics of asthma control: a promising link between genetics and disease | Q36082319 | ||
| DNA methylation in childhood asthma: an epigenome-wide meta-analysis | Q50533268 | ||
| Integration of multi-omics data and deep phenotyping enables prediction of cytokine responses | Q88764355 | ||
| P433 | issue | 11 | |
| P304 | page(s) | 2129-2145 | |
| P577 | publication date | 2019-06-28 | |
| P1433 | published in | Allergy | Q2699825 |
| P1476 | title | What did we learn from multiple omics studies in asthma? | |
| P478 | volume | 74 |
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