2019
DOI: 10.1101/808691
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Insights into the aetiology of snoring from observational and genetic investigations in the UK Biobank (n=408,317)

Abstract: We conducted the largest study of snoring using data from the UK Biobank (n ~ 408,000; snorers ~152,000). A genome-wide association study (GWAS) identified 42 genome-wide significant loci, with a SNP-based heritability estimate of ~10% on the liability scale. Genetic correlations with body mass index, alcohol intake, smoking, schizophrenia, anorexia nervosa and neuroticism were observed. Gene-based associations identified 173 genes, including DLEU7, MSRB3 and POC5 highlighting genes expressed in brain, cerebel… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 76 publications
0
1
0
Order By: Relevance
“…We used MR to investigate evidence for an effect of an individuals' sleeping patterns on the sleeping patterns of their spouse. This was done by generating a series of genetic risk scores (GRS) for the 5 selfreported sleep traits (chronotype (morning/evening preference) (55), ease of waking up, insomnia symptoms (56), sleep duration (57) and snoring (58)) and 4 accelerometer-derived sleep traits (mean L5 time, number of nocturnal sleep episodes, mean daily sleep duration and mean sleep efficiency (36)).…”
Section: Uk Biobankmentioning
confidence: 99%
“…We used MR to investigate evidence for an effect of an individuals' sleeping patterns on the sleeping patterns of their spouse. This was done by generating a series of genetic risk scores (GRS) for the 5 selfreported sleep traits (chronotype (morning/evening preference) (55), ease of waking up, insomnia symptoms (56), sleep duration (57) and snoring (58)) and 4 accelerometer-derived sleep traits (mean L5 time, number of nocturnal sleep episodes, mean daily sleep duration and mean sleep efficiency (36)).…”
Section: Uk Biobankmentioning
confidence: 99%