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DNA Traits · Sleep & rhythms

Overnight sleep episodes association

How many separate stretches a night of sleep is broken into, measured with a wrist tracker.

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Evidence · Not yet replicated

What the research found

In the cited research, the T allele at rs12714404 was associated with more accelerometer-inferred overnight sleep episodes in the studied cohorts.

GG
Fewer breaks
GT
Middle
TT
More breaks
Slight effect

What the study found

In the study, each copy went with higher number of separate sleep stretches per night, from a wrist tracker on average.

UK Biobank adults of European ancestry with seven-day wrist accelerometry · Table 3 (beta, SE, P, effect allele frequency); Methods, association testing paragraph (results reported on the inverse-normal scale)
Evidence
Genome-wide association using seven-day wrist accelerometry
Who was studied
European-ancestry UK Biobank adults with seven-day wrist accelerometer measurements
1000 Genomes Project

How common each genotype is

How common each genotype is in the 1000 Genomes Project, by region
RegionGGFewer breaksGTMiddleTTMore breaks
All regions2,504 people42%40%17%
Africa661 people18%46%37%
The Americas347 people25%50%25%
East Asia504 people74%23%3%
Europe503 people50%43%7%
South Asia489 people46%42%12%

Among the 2,504 people of the 1000 Genomes Project, in five world regions. These percentages describe groups of people, never anyone’s chance of having a trait.

Ancient genomes

Through time

How often the studied letter was read in ancient people, era by era, in the region chosen.

Region
Through time: Europe
Before farmingbefore 6500 BC16%9 of 58 copies read
First farmers6500 to 3000 BC32%137 of 422 copies read
Bronze Age3000 to 1200 BC25%80 of 322 copies read
Iron Age and Antiquity1200 BC to AD 60029%205 of 716 copies read
Middle AgesAD 600 to 150028%215 of 762 copies read
Today1000 Genomes29%291 of 1,006 copies

Neanderthal and Denisovan genomes

Altai Neanderthal
Not read
Vindija Neanderthal
Not read
Chagyrskaya Neanderthal
2 copies
Denisovan
Not read
For most ancient people only one of their two copies can be read, so these counts are copies read, not people. Close relatives, repeated samples and samples the archive marks as unreliable are left out. Ancient genomes from the Allen Ancient DNA Resource (AADR v66): 15,136 people.
rs12714404

The marker

Gene or region
ACP1 / SH3YL1 region
Marker
rs12714404
Location
Chromosome 2 · GRCh37 282,462 · GRCh38 282,462
Letters studied
G and T, with T as the studied allele

A DNA Traits report reads this marker in your raw DNA file and shows which of the three genotypes is yours, with how common it is. It counts the copies of the studied allele; it does not measure the trait itself.

Marker
ACP1 / SH3YL1 region · rs12714404
Location
Chromosome 2 · GRCh37 282,462 · GRCh38 282,462
Studied allele
T
Published statistic
beta 0.037 SD per T allele (SE 0.005), P 1e-12; T frequency 0.283; passes the study's stricter 8e-10 threshold; 0.04 SD per copy (Table 3 (beta, SE, P, effect allele frequency); Methods, association testing paragraph (results reported on the inverse-normal scale))
1000 Genomes Project phase 3, people with 0, 1 and 2 copies
All regions 1054 / 1012 / 438 · Africa 116 / 303 / 242 · The Americas 88 / 172 / 87 · East Asia 375 / 116 / 13 · Europe 249 / 217 / 37 · South Asia 226 / 204 / 59
See this card in the sample report
Limits

What it cannot tell you

Sleep episodes were inferred from wrist movement and are not an exact count of conscious awakenings. This marker does not measure your sleep fragmentation, classify your sleep quality or test for a sleep disorder. Only the studied G/T allele pair is interpreted.

Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour (Jones et al., 2019)
The same topic

More in Sleep & rhythms

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