Back

A broad exome study of the genetic architecture of asthma reveals novel patient subgroups

Cameron-Christie, S.; Mackay, A.; Wang, Q.; Olsson, H.; Angermann, B.; Lassi, G.; Lindgren, J.; Hühn, M.; Cameron-Christie, Y. O.; Gavala, M.; Wang, J.; Povysil, G.; Deevi, S. V. V.; Belfield, G.; Dillmann, I.; Muthas, D.; Cohen, S.; Young, S.; Platt, A.; Petrovski, S.

2020-12-11 genomics
10.1101/2020.12.10.419663 bioRxiv
Show abstract

IntroductionAsthma risk is a complex interplay between genetic susceptibility and environment. Despite many significantly-associated common variants, the contribution of rarer variants with potentially greater effect sizes has not been as extensively studied. We present an exome-based study adopting 24,576 cases and 120,530 controls to assess the contribution of rare protein-coding variants to the risk of early-onset or all-comer asthma. MethodsWe performed case-control analyses on three genetic units: variant-, gene- and pathway-level, using sequence data from the Scandinavian Asthma Genetic Study and UK Biobank participants with asthma. Cases were defined as all-comer asthma (n=24,576) and early-onset asthma (n=5,962). Controls were 120,530 UK Biobank participants without reported history of respiratory illness. ResultsVariant-level analyses identified statistically significant variants at moderate-to-common allele frequency, including protein-truncating variants in FLG and IL33. Asthma risk was significantly increased not only by individual, common FLG protein-truncating variants, but also among the collection of rare-to-private FLG protein-truncating variants (p=6.8x10-7). This signal was driven by early-onset asthma and did not correlate with circulating eosinophil levels. In contrast, a single splice variant in IL33 was significantly protective (p=8.0x10-10), while the collection of remaining IL33 protein-truncating variants showed no class effect (p=0.54). A pathway-based analysis identified that protein-truncating variants in loss-of-function intolerant genes were significantly enriched among individuals with asthma. ConclusionsAccess to the full allele frequency spectrum of protein-coding variants provides additional clarity about the potential mechanisms of action for FLG and IL33. Beyond these two significant drivers, we detected a significant enrichment of protein-truncating variants in loss-of-function intolerant genes.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Thorax
32 papers in training set
Top 0.1%
26.3%
2
International Journal of Epidemiology
74 papers in training set
Top 0.2%
6.9%
3
Nature Communications
4913 papers in training set
Top 28%
6.5%
4
ERJ Open Research
44 papers in training set
Top 0.2%
6.4%
5
Nature Genetics
240 papers in training set
Top 2%
4.4%
50% of probability mass above
6
Journal of Allergy and Clinical Immunology
25 papers in training set
Top 0.2%
3.6%
7
EBioMedicine
39 papers in training set
Top 0.1%
3.1%
8
BMC Medical Genomics
36 papers in training set
Top 0.2%
3.1%
9
The Journal of Infectious Diseases
182 papers in training set
Top 2%
2.1%
10
Scientific Reports
3102 papers in training set
Top 53%
1.9%
11
PLOS Genetics
756 papers in training set
Top 8%
1.8%
12
PLOS ONE
4510 papers in training set
Top 54%
1.7%
13
Genome Medicine
154 papers in training set
Top 5%
1.5%
14
Journal of Clinical Investigation
164 papers in training set
Top 3%
1.5%
15
JCI Insight
241 papers in training set
Top 4%
1.4%
16
Bioinformatics
1061 papers in training set
Top 8%
1.2%
17
eLife
5422 papers in training set
Top 49%
1.2%
18
Human Molecular Genetics
130 papers in training set
Top 3%
1.0%
19
The American Journal of Human Genetics
206 papers in training set
Top 3%
1.0%
20
Clinical Infectious Diseases
231 papers in training set
Top 4%
1.0%
21
Cell Genomics
162 papers in training set
Top 5%
0.9%
22
Respiratory Research
19 papers in training set
Top 0.5%
0.8%
23
Genetic Epidemiology
46 papers in training set
Top 0.8%
0.8%
24
PLOS Medicine
98 papers in training set
Top 5%
0.7%
25
BMC Genomics
328 papers in training set
Top 7%
0.7%
26
British Journal of Anaesthesia
14 papers in training set
Top 0.9%
0.7%
27
Nature Medicine
117 papers in training set
Top 6%
0.5%
28
European Journal of Human Genetics
49 papers in training set
Top 2%
0.5%
29
Pediatrics
10 papers in training set
Top 0.4%
0.5%
30
Cell Reports
1338 papers in training set
Top 36%
0.5%