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Genomics · Genetic Reports · Precision Wellness

Metabolic Health

Personalized Genetic Report
Weight ControlBlood Sugar ControlThyroid HealthMiscellaneousMetabolism Genes
Sample ClientReport date: 29 July 2026
Genomics · Genetic Reports · Precision Wellness
Marrow Health Laboratories
Marrow
Accession #: MRW-26-1CC153
Report type: Summary Report
Report status: FINAL

Specimen and client information

Client
Sample Client
Specimen type
Buccal (cheek) swab
Date reported
29 July 2026
Accession
MRW-26-1CC153
Panel
Metabolic Health
Results scored
58 of 61
Need attention
4
Report
Summary Report

What this report covers

Weight Control · Blood Sugar Control · Thyroid Health · Miscellaneous · Metabolism Genes

About this report

This report reads your DNA and sorts every result into one of five plain-language groups, so you can see at a glance what deserves attention and what does not. Nothing here is a diagnosis. A flagged result means your genetics place you above or below the average person for that trait — a reason to ask a question, not a reason to worry.

What each result group means

Worth a conversation with your doctor
These came back with a higher genetic predisposition than most people. That is not a diagnosis — it means these are the ones worth raising at your next appointment.
Running above the typical range
Your genetics point to these sitting higher than average. Often useful to know, sometimes worth monitoring.
Running below the typical range
Your genetics point to these sitting lower than average. Same idea — context, not alarm.
Working in your favour
Good news. Your genetics look protective or better than average here.
In line with most people
Nothing unusual. These were tested and came back typical — worth having on record.

Your results at a glance

How to read this. A result being flagged does not mean you have a condition — it means your genetics put you above or below the average person for that trait. Of the 58 results here, 4 came back worth discussing with a clinician and 3 came back in your favour. Bring this document to your appointment.

What this package looks at

Metabolic Health — Is your metabolism optimal? Maybe, but probably not. A recent study indicated that only about 1 in 8 people in the U.S. have optimal metabolic health [R].

What you can actually do

These are ordered by how closely they relate to your flagged results — not generic health advice. Marrow does not prescribe, dose, or tell you to take anything. Diet and lifestyle changes are listed first because they are yours to make. Anything you would swallow is listed separately, by name only, as something to raise with a clinician who knows your history and your medications.

Changes you can make yourself

1
Strength Training

Engage in strength training exercises, such as weight lifting or bodyweight exercises, for 60 minutes per session, TA 2 to 3 times per week.

Relates to: ADRB2 (Weight), Visceral Fat
relevance
2
Limit Calorie Intake

Consume fewer calories than your body needs for maintenance.

Relates to: UCP1 (Weight), FOXO1 (Blood Sugar), Visceral Fat
relevance
3
Mediterranean Diet

Limit red meat to a few times a month and include a moderate amount of dairy products.

Relates to: TCF7L2 (Blood Sugar/Diet), Visceral Fat
relevance
4
High-Intensity Interval Training (HIIT)30 minutes

Engage in HIIT workouts for at least 30 minutes per session, 3 times a week.

Relates to: Visceral Fat
relevance
5
Regular Sleep Schedule

Aim for 7-9 hours of sleep per night.

Relates to: Visceral Fat, Low Blood Sugar
relevance
6
Whole Grains

Aim to replace refined grains with whole grains at each meal for optimal benefits.

Relates to: TCF7L2 (Blood Sugar/Diet), Visceral Fat
relevance
7
Low-Carbohydrate Diet

Limit your daily intake of carbohydrates to less than 26% of your total daily calories.

Relates to: Visceral Fat
relevance
8
Yacon

prebiotic and blood sugar-lowering properties.

Relates to: TCF7L2 (Blood Sugar/Diet)
relevance

Worth asking your clinician about

These came up in the research behind your flagged results. They are listed by name so you can ask about them. Marrow is not recommending them, and gives no dose. Supplements interact with prescription medication and with each other — that conversation belongs with your clinician.

1
Zinc
Relates to: SLC30A8 (Blood Sugar)
relevance
2
Balance Iodine Intake
Relates to: Visceral Fat
relevance
3
Probiotics
Relates to: Visceral Fat, GLP-1
relevance
4
Glutamine
Relates to: GLP-1, TCF7L2 (Blood Sugar/Diet)
relevance
5
Resveratrol
Relates to: FOXO1 (Blood Sugar)
relevance
6
Caffeine
Relates to: ADRB2 (Weight)
relevance

Your headline findings

Of the 58 results in this package, these 4 came back furthest from the population average. Each one below explains what it is, where you sit, and which report it came from. Start here.

Low Blood SugarMore likely
More likely to have low blood sugar based on 126,569 genetic variants we looked at
Your risk is greater than 99% of the population and lower than 1% of the population.

What this actually is

Other non-diabetic risk factors include age, drinking alcohol, certain medications, severe infections, problems with your adrenal or pituitary gland, liver, kidney, or pancreas.

Other diabetic risk factors include taking too much diabetes medication, not eating enough or skipping meals, increasing physical activity without adjusting diet or medications, and drinking alcohol.

If you have high genetic risk, you may lower overall risk by taking action on those factors that you can change.

What you can do

  • Regular Sleep Schedule
    Aim for 7-9 hours of sleep per night.
From your Metabolic Health report
Heavy SweatingMore likely
More likely to have hyperhidrosis based on 104 genetic variants we looked at
Your risk is greater than 91% of the population and lower than 9% of the population.

What this actually is

Key Takeaways: Genes that affect excessive sweating may influence nerve function and chemical messengers.

Excessive sweating can impact quality of life and cause undue stress and anxiety.

If you have symptoms, you may want to consult your doctor to rule out other conditions.

From your Metabolic Health report
ADRB2 (Weight)Worse genetics
Higher predisposition than average

What this actually is

The rs1042714 variant (also known as Q27E or Gln27Glu) has been most widely researched when it comes to weight.

Its minor ‘G’ allele (Glu, E) was associated with approximately 20% higher odds of obesity in a meta-analysis of 18 studies.

An older meta-analysis came to a similar conclusion.

What you can do

  • Strength Training
    Engage in strength training exercises, such as weight lifting or bodyweight exercises, for 60 minutes per session, TA 2 to 3 times per week.

Ask your clinician about

  • Caffeine

Named only. Marrow gives no dose and does not recommend these.

From your Metabolic Health report
TCF7L2 (Blood Sugar/Diet)Worse genetics
Higher predisposition than average

What this actually is

The two main TCF7L2 variants are rs7903146 and rs12255372.

They are almost always inherited together, which means they act as a single genetic factor.

Their "T" alleles have one of the strongest known links with type 2 diabetes.

What you can do

  • Mediterranean Diet
    Limit red meat to a few times a month and include a moderate amount of dairy products.
  • Whole Grains
    Aim to replace refined grains with whole grains at each meal for optimal benefits.
  • Whole Grains
    Aim to replace refined grains with whole grains at each meal for optimal benefits.
From your Metabolic Health report

Where your genetics are working for you

Not everything in a genetic report is a warning. These came back protective or better than average.

OverweightLess likely
Less likely to be overweight or obese based on 455,505 genetic variants we looked at
Your risk is greater than 1% of the population and lower than 99% of the population.

What this actually is

Up to 42% of adults and 19% of children in the US meet the medical criteria for obesity.

Weight gain affects conditions like high blood sugar and heart disease.

However, it is highly modifiable by diet and exercise.

From your Metabolic Health report
Metabolic SyndromeLess likely
Less likely to have metabolic syndrome based on 636,870 genetic variants we looked at
Your risk is greater than 1% of the population and lower than 99% of the population.

What this actually is

Factors that might increase the risk of developing metabolic syndrome include: Age: Risk increases with age.

A history of diabetes in one's family.

A history of gestational diabetes or having given birth to a baby weighing more than 9 pounds.

From your Metabolic Health report
FTO (Weight)Better
Lower predisposition than average

What this actually is

An SNP in this gene, rs9939609, has shown a robust association with obesity across different ages and ethnic groups.

Carriers of the minor 'A' allele tend to gain more weight and have higher rates of obesity [R, R, R, R].

Many human studies suggest that the 'A' allele at rs9939609 is associated with: Higher levels of ghrelin or the "hunger hormone" Higher food intake [R, R, R] Increased preference for higher-calorie foods [R, R, R] Increased enjoyment of food Not feeling full after meals [R, R, R] Eating in the absence of hunger [R, R] Food cravings Emotional and binge eating In contrast, the 'T' allele is linked to normal body weight, more satiety after meals, and possibly healthier dietary choices [R, R, R].

From your Metabolic Health report

Everything else that came back

The remaining results, grouped by what they mean. Every one of these is explained in full — with the genes and variants behind it — in the technical version of this report.

Running above the typical range  (6)
  • Visceral Fat — Higher levels, 82th percentile
  • FOXO1 (Blood Sugar) — Higher activity
  • MTNR1B (Diet & Blood Sugar) — Higher activity
  • MC4R (Weight/ Blood Sugar) — Higher activity
  • DIO1 (Thyroid) — Higher activity
  • DIO2 (Thyroid) — Higher activity
Running below the typical range  (9)
  • Weight Loss from Calorie Restriction — Lower
  • Metabolic Rate — Lower
  • GLP-1 — Lower levels
  • Postprandial Glucose — Lower levels
  • SLC30A8 (Blood Sugar) — Lower activity
  • UCP1 (Weight) — Lower activity
  • CDKN2B (Blood Sugar) — Lower activity
  • PPM1K (Blood Sugar/Diet) — Lower activity
  • MADD (Blood Sugar & Insulin) — Lower activity
In line with most people  (36)
  • Weight Regain — Typical likelihood, 72th percentile
  • Gout — Typical likelihood, 58th percentile
  • Type 2 Diabetes — Typical likelihood, 49th percentile
  • Hashimoto's Disease — Typical likelihood, 47th percentile
  • Overactive Thyroid — Typical likelihood, 46th percentile
  • Insulin Resistance — Typical, 43th percentile
  • Underactive Thyroid — Typical likelihood, 34th percentile
  • Uric Acid — Typical levels, 16th percentile
  • Fasting Glucose — Typical levels
  • HbA1c — Typical levels
  • Insulin — Typical levels
  • Graves' Disease — Typical likelihood
  • TSH — Typical levels
  • T3 (Triiodothyronine) — Typical levels
  • T4 (Thyroxine) — Typical levels
  • Free T4 — Typical levels
  • Reverse T3 (rT3) — Typical levels
  • Free T3 (fT3) — Typical levels
  • Ketone Bodies — Typical levels
  • Lactate — Typical levels
  • Creatine — Typical levels
  • LEPR (Weight/Leptin Resistance) — Typical activity
  • ADIPOQ (Weight/ Blood Sugar) — Typical genetics
  • UCP2 (Weight) — Typical activity
  • UCP3 (Weight) — Typical activity
  • ADRB3 (Weight) — Typical activity
  • CD36 (Fat Preference/Weight) — Typical activity
  • TFAP2B (Weight/Diet) — Typical activity
  • PPARG (Metabolism) — Typical activity
  • APOA2 (Weight, Blood Lipids) — Typical activity
  • MC3R (Weight) — Typical activity
  • TPO (Thyroid) — Typical
  • PPARGC1A (Fitness/Blood Sugar) — Typical activity
  • GCKR (Blood Sugar) — Typical activity
  • GIPR (Blood Sugar) — Typical activity
  • PPARA (Keto Diet) — Typical activity

What to do with this

Genetics is a predisposition, not a verdict. The single most useful thing you can do with this document is take it to a clinician and talk through the flagged findings — especially any that line up with symptoms you already have or conditions that run in your family. Nothing here changes: your DNA is the same at 60 as it is today, so this report does not expire.

Methodology

Genotyping was performed on DNA extracted from a buccal (cheek) swab using a genome-wide array. Results are derived from peer-reviewed genome-wide association data and, where applicable, published clinical guidelines. Each report was scored independently against its own reference set. Percentile figures describe where your result sits relative to a reference population.

Limitations

This is a laboratory-developed test. It has not been cleared or approved by the U.S. Food and Drug Administration. Genotyping does not detect all variants in the genes assessed; the absence of a flagged result does not exclude risk. Predisposition is probabilistic and is modified by environment, lifestyle, ancestry and family history. Results must be interpreted by a qualified healthcare professional and must not be used alone to diagnose, treat, or alter any medication regimen. Marrow does not recommend, prescribe, or dose any supplement or medication.

Performing laboratory & attestation
Performing laboratoryGene by Gene, Ltd.
Laboratory address1445 North Loop West, Suite 760, Houston, TX 77008
CLIA certificationCLIA #45D1102202
CAP accreditationCAP #7212851 · accredited through 7 October 2027
Laboratory DirectorFeng Zhou, PhD, MB(ASCP)
Specimen typeBuccal (cheek) swab — genomic DNA
AccessionMRW-26-1CC153
Date reported29 July 2026

This specimen was tested at Gene by Gene, Ltd., 1445 North Loop West, Suite 760, Houston, TX 77008, under CLIA #45D1102202 and CAP #7212851. Laboratory Director: Feng Zhou, PhD, MB(ASCP). Marrow Health is not a clinical laboratory and does not perform testing; Marrow prepares and delivers this report from data produced by the performing laboratory named above. Report generated 29 July 2026 · Accession MRW-26-1CC153 · © 2026 Marrow Health.