rs113851554
▶GWAS Catalog Trait Associations (11)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (11)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
movement disorder
Verma A et al. “Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program.” Science (new York, N.y.) 385(6706):eadj1182 (2024)
Allele G
OR 0.63
p 1.0e-200
N 435,255
Major Consortium StudyLarge GWAS
European
Sleep Disorder
Verma A et al. “Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program.” Science (new York, N.y.) 385(6706):eadj1182 (2024)
Allele G
OR 0.20
p 2.0e-65
N 393,565
Major Consortium StudyLarge GWAS
European
insomnia measurement
Jansen PR et al. “Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways.” Nature Genetics 51(3):394-403 (2019)
Allele T
OR 1.23
p 2.0e-51
N 1,331,010
Large GWAS
European
Lane JM et al. “Biological and clinical insights from genetics of insomnia symptoms.” Nature Genetics 51(3):387-393 (2019)
Allele T
OR 1.14
p 1.0e-29
N 453,379
Large GWAS
European
Lane JM et al. “Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits.” Nature Genetics 49(2):274-281 (2017)
Allele T
OR 1.26
p 9.0e-19
N 59,128
Large GWAS
European
extrapyramidal and movement disease
Verma A et al. “Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program.” Science (new York, N.y.) 385(6706):eadj1182 (2024)
Allele G
OR 0.21
p 3.0e-21
N 436,411
Major Consortium StudyLarge GWAS
European
sleep duration trait
Doherty A et al. “GWAS identifies 14 loci for device-measured physical activity and sleep duration.” Nature Communications 9(1):5257 (2018)
Allele G
OR 0.09
p 3.0e-18
N 91,105
Large GWAS
European
sleep quality
Li X et al. “Automated feature extraction from population wearable device data identified novel loci associated with sleep and circadian rhythms.” Plos Genetics 16(10):e1009089 (2020)
Allele G
OR 0.09
p 2.0e-17
N 90,515
Large GWAS
chronotype measurement
Jones SE et al. “Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms.” Nature Communications 10(1):343 (2019)
Allele G
OR 1.06
p 2.0e-13
N 403,195
Large GWAS
European
Jansen PR et al. “Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways.” Nature Genetics 51(3):394-403 (2019)
Allele G
OR 0.03
p 1.0e-8
N 434,835
Large GWAS
European
Li X et al. “Automated feature extraction from population wearable device data identified novel loci associated with sleep and circadian rhythms.” Plos Genetics 16(10):e1009089 (2020)
Allele G
OR 0.07
p 2.0e-9
N 90,515
Large GWAS
periodic limb movement disorder
Allele T
OR 1.63
p 4.0e-12
N 6,843
Large GWAS
European, African unspecified, East Asian, Native American
insomnia
Song W et al. “Genome-wide association analysis of insomnia using data from Partners Biobank.” Scientific Reports 10(1):6928 (2020)
Allele T
OR —
p 1.0e-21
N 422,239
Large GWAS
multi-ancestry
Verma A et al. “Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program.” Science (new York, N.y.) 385(6706):eadj1182 (2024)
Allele T
OR 0.10
p 4.0e-15
N 408,138
Major Consortium StudyLarge GWAS
European
Hammerschlag AR et al. “Genome-wide association analysis of insomnia complaints identifies risk genes and genetic overlap with psychiatric and metabolic traits.” Nature Genetics 49(11):1584-1592 (2017)
Allele T
OR 8.94
p 4.0e-19
N 113,006
Large GWAS
European
physical activity measurement
Qi G et al. “Genome-wide association studies of 27 accelerometry-derived physical activity measurements identified novel loci and genetic mechanisms.” Genetic Epidemiology 46(2):122-138 (2022)
Allele T
OR 0.14
p 7.0e-37
N 88,411
Large GWAS
European
This variant is in our database but has no known associations or PRS memberships yet.
Gene information from NCBI Gene. Variant classifications from ClinVar.
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