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Biological youthfulness

Behavioral Response

Biological aging research looks at biomarkers like telomere length, epigenetic clocks, and inflammatory markers that change with age, sometimes faster or slower than chronological age.

GWAS work has identified variants linked to telomere maintenance (TERT, TERC), DNA repair, and inflammation pathways that affect aging-related measures.

This result reflects research-level variation in aging-related biology and is not an epigenetic age test or a healthspan forecast.

Smoking, diet, exercise, sleep, stress, environmental exposures, healthcare, and chance events strongly shape how aging unfolds.

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

Longer telomere. longer life expectancy

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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 65% 65% Environment 35% 35%

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.

TP53

This gene encodes a tumor suppressor protein containing transcriptional activation, DNA binding, and oligomerization domains. The encoded protein responds to diverse cellular stresses to regulate expression of target genes, thereby inducing cell cycle arrest, apoptosis, senescence, DNA repair, or changes in metabolism. Mutations in this gene are associated with a variety of human cancers, including hereditary cancers such as Li-Fraumeni syndrome. Alternative splicing of this gene and the use of alternate promoters result in multiple transcript variants and isoforms. Additional isoforms have also been shown to result from the use of alternate translation initiation codons from identical transcript variants (PMIDs: 12032546, 20937277). [provided by RefSeq, Dec 2016]

GeneCards

Chromosome: 17
Start: 7,661,779
End: 7,687,538
Build: HG19

Associated SNPs 1 / 1 detected

Associated markers for TP53
SNP	Genotype	Ref. allele	Variant allele	Frequency	Status
rs1042522	CC	G	C	54.29%	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
rs1042522	17	CC	C	54.29%

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.

The common germline Arg72Pro polymorphism of p53 and increased longevity in humans

Evidence

Statistical significance

01/15/2008

Authors: Bojesen SE, Nordestgaard BG