Traits - Genetic associations studied in body-weight regulation

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Genetic associations studied in body-weight regulation

Body Composition

Obesity research uses body mass index (BMI) and related measures to study why some people accumulate more body fat than others. It is one of the most heritable common traits.

Hundreds of common variants have been linked to BMI, with FTO and MC4R among the strongest, often acting on appetite and energy balance rather than metabolism alone.

This result reflects research-level variation in body weight biology and is not a diagnosis or a weight-management plan.

Diet, physical activity, sleep, stress, medications, hormones, gut microbiome, and food environment have major effects on body weight regardless of genetic background.

All traits Compare samples
Selected sample
Demo Report
Report markers
6 SNP entries
Genes
2
Research
11 studies
Research summary

What this trait studies

Research summary, not an individual result

This trait is presented as population-level genetic research rather than an individual Low/High verdict, because the science behind it is either too preliminary, too easily misread as a diagnosis, or too sensitive to responsibly reduce to a single badge.

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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.

2 of 2 genes have detected genotypes.

ADIPOQ

This gene is expressed in adipose tissue exclusively. It encodes a protein with similarity to collagens X and VIII and complement factor C1q. The encoded protein circulates in the plasma and is involved with metabolic and hormonal processes. Mutations in this gene are associated with adiponectin deficiency. Multiple alternatively spliced variants, encoding the same protein, have been identified. [provided by RefSeq, Apr 2010]

GeneCards
Chromosome
3
Start
186,842,704
End
186,858,463
Build
HG19
Associated SNPs 1 / 1 detected
Associated markers for ADIPOQ
SNPGenotype Ref. alleleVariant alleleFrequencyStatus
rs17300539 AG GA7.53%Detected

ADRB2

This gene encodes beta-2-adrenergic receptor which is a member of the G protein-coupled receptor superfamily. This receptor is directly associated with one of its ultimate effectors, the class C L-type calcium channel Ca(V)1.2. This receptor-channel complex also contains a G protein, an adenylyl cyclase, cAMP-dependent kinase, and the counterbalancing phosphatase, PP2A. The assembly of the signaling complex provides a mechanism that ensures specific and rapid signaling by this G protein-coupled receptor. This receptor is also a transcription regulator of the alpha-synuclein gene, and together, both genes are believed to be associated with risk of Parkinson's Disease. This gene is intronless. Different polymorphic forms, point mutations, and/or downregulation of this gene are associated with nocturnal asthma, obesity, type 2 diabetes and cardiovascular disease. [provided by RefSeq, Oct 2019]

GeneCards
Chromosome
5
Start
148,826,611
End
148,828,623
Build
HG19
Associated SNPs 1 / 1 detected
Associated markers for ADRB2
SNPGenotype Ref. alleleVariant alleleFrequencyStatus
rs1042714 CC GC79.57%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
SNPChromosomeGenotypeVariant alleleFrequency
rs173005393AGA7.53%
rs10427145CCC79.57%

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.

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Coverage: 6/6 SNP entries detected (100%).

Reference: Human Genome Build 37 (HG19). Other testing companies may report using the opposite strand, requiring conversion for comparison.

DEMO Sample report with example data. Not your results.
SAMPLE REPORT Example DNA profile This is a sample report with example data. It is not your personal report, and the results do not describe you.
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