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Muscle volume

Exercise Response

Muscle volume refers to total skeletal muscle mass and is studied because it influences strength, metabolism, and resilience to illness.

GWAS work has identified variants linked to lean mass and muscle size, including those near genes involved in growth signaling.

This result reflects research-level variation in muscle biology and is not a body composition measurement.

Resistance training, protein intake, age, sex, hormones, and overall activity all strongly affect actual muscle volume.

All traits Compare samples

Selected sample: Demo Report
Report markers: 3 SNP entries
Genes: 1
Research: 1 study

Important Medical Disclaimer

This report is intended for educational and informational purposes only. It is not intended to provide medical advice or be used solely by the customer in the diagnosis, cure, mitigation, treatment, or prevention of any disease or health condition. If you have serious medical conditions, including but not limited to weight-related issues, diabetes, or heart disease, you should not make changes to your diet or exercise routine without consulting your healthcare provider. Under no circumstances should you modify your medication or medical care without professional medical guidance. Find more information at this link

Your report

Genetic tendency

Average muscle volume

Very Low Very High

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Evidence and coverage

Confidence score

Very high

Read the evidence rating alongside the markers detected in your file. Confidence and tendency describe different aspects of this report.

Markers detected3 / 3100% coverage of report entries

Trait influence breakdown

Genetic 60% 60% Environment 40% 40%

Explore the evidence

Behind this report

Review the genes, tested markers and supporting research.

Genes analyzed

Gene summaries include genomic locations and associated markers. A detected genotype does not by itself indicate a health condition.

Understanding the data

SNP: A specific genetic marker relevant to this trait.
Genotype: The DNA letters reported at a marker location.
Variant allele: The alternative DNA sequence at the SNP site.
Variant allele frequency: The reported percentage of the reference population carrying this variant.
Variant found: Whether the variant was detected in your DNA file.

1 of 1 genes have detected genotypes.

IL15RA

This gene encodes a cytokine receptor that specifically binds interleukin 15 (IL15) with high affinity. The receptors of IL15 and IL2 share two subunits, IL2R beta and IL2R gamma. This forms the basis of many overlapping biological activities of IL15 and IL2. The protein encoded by this gene is structurally related to IL2R alpha, an additional IL2-specific alpha subunit necessary for high affinity IL2 binding. Unlike IL2RA, IL15RA is capable of binding IL15 with high affinity independent of other subunits, which suggests distinct roles between IL15 and IL2. This receptor is reported to enhance cell proliferation and expression of apoptosis inhibitor BCL2L1/BCL2-XL and BCL2. Multiple alternatively spliced transcript variants of this gene have been reported.[provided by RefSeq, Apr 2010]

GeneCards

Chromosome: 10
Start: 5,943,639
End: 5,978,741
Build: HG19

Associated SNPs 1 / 1 detected

Associated markers for IL15RA
SNP	Genotype	Ref. allele	Variant allele	Frequency	Status
rs2228059	GG	T	G	55.05%	Detected

SNPs tested

These are the unique genetic markers analyzed for this trait. Genotypes showing "--" were not identified in your DNA file. Report marker totals can include repeated study entries; this table shows each SNP once.

Genotypes and reported variant frequencies
SNP	Chromosome	Genotype	Variant allele	Frequency
rs2228059	10	GG	G	55.05%

DNA Genics reports genotypes based on the 'positive' strand of the human genome reference sequence (build 37/HG19). Other companies may use the opposite strand, so genotypes may need conversion for comparison.

Research studies

The following peer-reviewed scientific studies support the genetic associations analyzed in this report.

Interleukin-15 and interleukin-15R alpha SNPs and associations with muscle, bone, and predictors of the metabolic syndrome

Evidence

Statistical significance

2008 Jul

Authors: Pistilli EE, Devaney JM, Gordish-Dressman H, Bradbury MK, Seip RL, Thompson PD, Angelopoulos TJ, Clarkson PM, Moyna NM, Pescatello LS, Visich PS, Zoeller RF, Gordon PM, Hoffman EP