huB4E868 Frozen Validation Report
179 PRS models · 1,636 protein predictions · 142 candidate variants. This static snapshot is generated from the public report JSON artifact.
Overview-first report: suggested next steps are shown before technical PRS and protein tables. Genetic evidence is not diagnostic by itself.
Clinical Variant Status
✓No confirmed pathogenic
Heart rhythm and cardiovascular load
near-term focus
Your strongest cardiovascular pattern points toward atrial rhythm, heart structure, and electrical-timing awareness, with some favorable protective context for stroke and certain structural heart models.
Full explanation
Several of the strongest inherited signals in this report cluster around heart rhythm and heart structure. This does not mean you have a rhythm problem, heart enlargement, or heart disease. It means the genetics put cardiovascular prevention and routine vital-sign awareness higher on the list.
The pattern is not one-directional. Some signals point toward atrial rhythm and cardiac load, while other cardiovascular models look more favorable. Lipid-related signals are also mixed, with favorable high-density and apolipoprotein context alongside coronary and inflammation-pathway context.
The most practical interpretation is to treat heart rhythm, blood pressure, fitness, sleep, and lipid habits as high-value prevention areas. If palpitations, fainting, chest pain, unusual breathlessness, or a strong family history are present, that would make clinician review more important, but those details are not available here.
What to watch forPrioritize regular aerobic fitness, blood-pressure awareness, sleep consistency, and age-appropriate cardiovascular care. Share the rhythm-related genetic context with a clinician if symptoms, family history, pregnancy planning, or stimulant/thyroid medication use are relevant.
Show technical evidence
Risk-score evidence
- incident atrial fibrillation: risk percentile 99.9%, coverage 100%, PGS002773.
- left ventricular mass index: risk percentile 99.8%, coverage 100%, PGS003427.
- atrial fibrillation and flutter: risk percentile 98.7%, coverage 100%, PGS001841.
- congestive heart failure nonhypertensive: risk percentile 97.8%, coverage 100%, PGS001842.
- qtc interval: risk percentile 97.7%, coverage 100%, PGS001906.
- atrial flutter: risk percentile 95.7%, coverage 89%, PGS001263.
Protein pathway context
- IL6R: predicted level percentile 90.9%, R2 0.666; pathway context only.
- LRPAP1: predicted level percentile 94.9%, R2 0.6658; pathway context only.
Candidate variants
- CDKN2B rs1063192 AG: confirmation_required.
- SLC17A1,SLC17A4 rs11754288 GG: snpedia_context.
- CC rs10503669 CC: snpedia_context.
- Variant rs10105606 CC: snpedia_context.
Body composition with favorable blood-sugar context
near-term focus
Genetics points strongly toward higher visceral fat, body weight, and waist tendency, but blood-sugar and diabetes-related signals are comparatively favorable.
Full explanation
The body-composition signal is one of the clearest patterns in the report. Several inherited scores point toward greater visceral fat, body weight, waist circumference, and arm fat. That is a tendency, not a measurement, and it does not say what your current body composition is.
The important nuance is that the blood-sugar side looks more favorable. Diabetes-related, glucose, and long-term blood-sugar context lean protective, while body-size context is elevated. This is a classic divergent pattern: weight and waist may be the main prevention target rather than assuming a broad metabolic problem.
Training and diet should therefore focus on waist management, muscle preservation, and steady energy balance rather than crash dieting. Resistance training, daily movement, fiber, adequate protein from foods, and a minimally processed diet fit the evidence better than restrictive or supplement-heavy approaches.
What to watch forUse waist, strength, aerobic capacity, and sustainable nutrition as the main levers. Emphasize resistance training plus steady aerobic work, high-fiber meals, protein-rich whole foods, and lower reliance on ultra-processed high-salt or high-sugar foods.
Show technical evidence
Risk-score evidence
- predicted visceral adipose tissue: risk percentile 99.5%, coverage 97%, PGS000844.
- obesity: risk percentile 99.4%, coverage 96%, PGS003959.
- overweight obesity and other hyperalimentation: risk percentile 99.2%, coverage 100%, PGS001825.
- weight: risk percentile 97%, coverage 96%, PGS003898.
- waist circumference: risk percentile 86.9%, coverage 96%, PGS003893.
- arm fat percentage: risk percentile 88.9%, coverage 97%, PGS003915.
Protein pathway context
- FSHB: predicted level percentile 97%, R2 0.6068; pathway context only.
- LRPAP1: predicted level percentile 94.9%, R2 0.6658; pathway context only.
- PNLIPRP2: predicted level percentile 8.2%, R2 0.7241; pathway context only.
- SGSH: predicted level percentile 95.8%, R2 0.627; pathway context only.
- FUCA1: predicted level percentile 84.5%, R2 0.822; pathway context only.
Candidate variants
- CYTL1 rs11722554 GG: snpedia_context.
- LOC101929615 rs10195252 TT: snpedia_context.
- Variant rs1024889 GG: snpedia_context.
- Variant rs10937273 GG: snpedia_context.
- Variant rs10105606 CC: snpedia_context.
Eye and retinal resilience
near-term focus
Multiple eye-related genetic signals are elevated, especially for glaucoma, retina, lens, cornea, and myopia-related traits.
Full explanation
The eye-health cluster is unusually consistent. Several inherited signals point toward eye pressure or glaucoma context, retinal traits, cataract context, corneal traits, and nearsightedness.
This does not mean an eye condition is present. It does mean routine eye care is a high-value prevention area, especially because many eye-pressure and retinal issues are easier to manage when found early.
The variant context adds support around glaucoma-related biology, but it is not enough to diagnose anything. The practical action is regular comprehensive eye exams and prompt attention to changes in vision, flashes, floaters, eye pain, or sudden visual loss.
What to watch forMaintain regular comprehensive eye exams and mention the inherited glaucoma and retinal context to an optometrist or ophthalmologist, especially if symptoms or family history are relevant.
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Risk-score evidence
- glaucoma: risk percentile 98.9%, coverage 100%, PGS001836.
- retinal disorders in diseases classified elsewhere: risk percentile 98.5%, coverage 80%, PGS001276.
- cataract: risk percentile 96%, coverage 100%, PGS001837.
- corneal dystrophy: risk percentile 93.9%, coverage 100%, PGS002042.
- diabetic eye disease: risk percentile 93.2%, coverage 80%, PGS001028.
- retinal detachments and defects: risk percentile 90.1%, coverage 100%, PGS001833.
Candidate variants
- CDKN2B rs1063192 AG: confirmation_required.
Immune and autoimmune tendency
useful to review
Immune-related evidence clusters around celiac, lupus, Crohn's disease, psoriasis, connective tissue, and inflammatory signaling, with some protective skin and bowel context.
Full explanation
The immune pattern is broad rather than narrow. Several inherited signals point toward autoimmune or inflammatory conditions, including gut, skin, connective tissue, and systemic immune themes.
Protein-pathway evidence strengthens the interpretation because multiple immune-signaling proteins are at tail levels. Variant context also overlaps with immune, autoimmune, and inflammatory traits. This makes immune tone one of the more meaningful themes in the report.
The evidence still does not diagnose celiac disease, lupus, Crohn's disease, psoriasis, or any other condition. It suggests that unexplained persistent digestive symptoms, rashes, joint swelling, mouth ulcers, unusual fatigue, or inflammatory symptoms would be worth taking seriously with a clinician rather than dismissing.
What to watch forDo not restrict foods or self-treat based on genetics alone. If persistent gut, skin, joint, or systemic inflammatory symptoms occur, use this context to support a focused clinical conversation.
Show technical evidence
Risk-score evidence
- celiac disease: risk percentile 98.9%, coverage 100%, PGS001856.
- lupus: risk percentile 98.5%, coverage 100%, PGS001870.
- crohn s disease: risk percentile 89.1%, coverage 83%, PGS001331.
- psoriasis: risk percentile 86.7%, coverage 90%, PGS001313.
- other systemic involvement of connective tissue: risk percentile 88.1%, coverage 86%, PGS000960.
- atopic eczema or atopic disease: risk percentile 2.9%, coverage 98%, PGS003459.
Protein pathway context
- FOLR3: predicted level percentile 98.4%, R2 0.9226; pathway context only.
- IL1RAP: predicted level percentile 96%, R2 0.706; pathway context only.
- IL6R: predicted level percentile 90.9%, R2 0.666; pathway context only.
- CTSH: predicted level percentile 94.9%, R2 0.6192; pathway context only.
- CSF2RB: predicted level percentile 20%, R2 0.6449; pathway context only.
Candidate variants
- GG rs10865331 GG: snpedia_context.
- GG rs11117432 GG: snpedia_context.
- Variant rs11644034 GG: snpedia_context.
- Variant rs10892279 GG: snpedia_context.
- Variant rs11554257 TT: snpedia_context.
- SQRDL rs1044032 TT: snpedia_context.
Digestive sensitivity and gut rhythm
useful to review
Digestive signals include celiac and malabsorption context, bowel-frequency tendency, Crohn's and diverticular context, and protective gallbladder/biliary signals.
Full explanation
The digestive evidence overlaps with the immune findings but has its own pattern. Celiac-related, malabsorption-related, bowel-frequency, Crohn's, and diverticular signals are present. At the same time, gallstone and biliary signals lean protective.
This does not justify starting a gluten-free diet by itself. In fact, removing gluten before clinical testing can make some evaluations harder to interpret. The genetics are better used as context if digestive symptoms are persistent or unexplained.
A gut-friendly diet pattern is still reasonable: fiber from varied plant foods, regular meals, adequate fluids, and fermented foods if tolerated. The evidence does not support broad elimination diets without a clear symptom pattern or clinician guidance.
What to watch forEmphasize a high-fiber, minimally processed diet and avoid unnecessary restrictive dieting. If persistent digestive symptoms occur, raise celiac and inflammatory-bowel context before changing diet long term.
Show technical evidence
Risk-score evidence
- celiac disease: risk percentile 98.9%, coverage 100%, PGS001856.
- intestinal malabsorption: risk percentile 94.1%, coverage 88%, PGS000940.
- average number of times bowels opened per day: risk percentile 98.4%, coverage 85%, PGS001376.
- crohn s disease: risk percentile 89.1%, coverage 83%, PGS001331.
- diverticulosis: risk percentile 82.8%, coverage 100%, PGS001857.
- ulcerative colitis: risk percentile 9.5%, coverage 100%, PGS001855.
Protein pathway context
- PNLIPRP2: predicted level percentile 8.2%, R2 0.7241; pathway context only.
Candidate variants
- Variant rs11554257 TT: snpedia_context.
- Variant rs10892279 GG: snpedia_context.
Kidney and urinary-mineral balance
useful to review
Stone and urinary-mineral signals are elevated, while several kidney-damage markers look favorable, creating a divergent kidney and hydration pattern.
Full explanation
The kidney-related evidence is not simply high or low. Stone-related and urinary-mineral context is elevated, including urinary sodium and creatinine-related signals. In contrast, several markers tied to kidney damage or chronic kidney context lean favorable.
That pattern points more toward hydration, sodium balance, and stone prevention awareness than toward assuming reduced kidney function. Current labs, blood pressure, diet, hydration, and medication use would matter far more than genetics alone.
The most practical approach is steady hydration, not overdoing salt, and avoiding extreme high-protein or dehydration-prone dieting. If kidney stones, recurrent urinary symptoms, or abnormal kidney labs ever occur, this context becomes more relevant.
What to watch forSupport hydration and moderate sodium intake. Avoid dehydration-prone routines and extreme diets, especially when training hard or in hot weather.
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Risk-score evidence
- urinary calculus: risk percentile 98.1%, coverage 100%, PGS001864.
- calculus of kidney and ureter: risk percentile 83.3%, coverage 78%, PGS001250.
- estimated glomerular filtration rate: risk percentile 80.6%, coverage 100%, PGS000884.
- creatininein urine: risk percentile 90.3%, coverage 100%, PGS001944.
- sodium in urine mmol l: risk percentile 91.8%, coverage 91%, PGS000695.
- chronic kidney disease: risk percentile 2.8%, coverage 100%, PGS004128.
Candidate variants
- Variant rs11709625 CC: snpedia_context.
- SLC16A9 rs1171614 CC: snpedia_context.
- SLC17A1,SLC17A4 rs11754288 GG: snpedia_context.
Breast and DNA-repair awareness
useful to review
Breast-cancer genetic scores are elevated, ovarian context is more favorable, and one DNA-repair variant should be treated as unconfirmed unless clinically verified.
Full explanation
Several inherited scores related to breast cancer are elevated, including estrogen-receptor-positive context. This does not mean cancer is present or will occur. It means routine age-appropriate breast screening and family-history awareness are especially important.
There is also DNA-repair variant context that needs caution. The variant evidence is marked as requiring confirmation, so it should not be interpreted as a diagnosis or as proof of a hereditary cancer syndrome from this report alone.
Ovarian and glioma-related score context leans more favorable, which adds nuance. The practical takeaway is not alarm; it is to keep standard screening current and consider clinical-grade confirmation only when personal or family history, clinician review, or formal genetic counseling makes it appropriate.
What to watch forFollow age-appropriate breast screening guidance. If there is relevant personal or family cancer history, discuss whether clinical-grade confirmation of the DNA-repair finding is warranted.
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Risk-score evidence
- breast cancer: risk percentile 87.2%, coverage 87%, PGS000214.
- Breast cancer: risk percentile 86.3%, coverage 98%, PGS000028.
- breast cancer: risk percentile 80.5%, coverage 87%, PGS000213.
- Estrogen receptor [ER]-positive breast cancer: risk percentile 80%, coverage 97%, PGS000046.
- Ovarian cancer: risk percentile 10.5%, coverage 100%, PGS003741.
- Glioma: risk percentile 14.2%, coverage 93%, PGS002302.
Protein pathway context
- FGFR4: predicted level percentile 10%, R2 0.6546; pathway context only.
- KLK1: predicted level percentile 12.8%, R2 0.6165; pathway context only.
- KLK12: predicted level percentile 13.2%, R2 0.7889; pathway context only.
Candidate variants
- CDKN2B rs1063192 AG: confirmation_required.
- MUTYH rs36053993 CT: confirmation_required.
- LINC00824 rs10088218 GG: snpedia_context.
Mood, sleep, and brain-wiring context
background
Mood and stress-sensitivity signals are high, with brain research-context signals and sleep-related evidence adding nuance rather than diagnosis.
Full explanation
Several inherited scores point toward mood and stress-sensitivity traits, including depression-related and neuroticism-related models. This does not mean depression, anxiety, or any neurodevelopmental condition is present.
The brain-related research context is interesting but should be handled carefully. It can support background interpretation about brain biology, but it is not a medical-risk conclusion and should not be treated like a diagnosis.
The useful action is preventive: protect sleep, maintain regular exercise, keep social support strong, and respond early if mood, anxiety, fatigue, or sleep disruption becomes persistent. Genetics can make prevention more intentional, but lived symptoms and clinical assessment matter most.
What to watch forPrioritize sleep regularity, aerobic exercise, resistance training, social connection, and early support for persistent mood or anxiety symptoms. Treat brain-region context as background only.
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Risk-score evidence
- major depression: risk percentile 99.4%, coverage 98%, PGS000140.
- major depression: risk percentile 93.6%, coverage 97%, PGS000141.
- major depression: risk percentile 86%, coverage 98%, PGS000144.
- neuroticism score: risk percentile 96.7%, coverage 100%, PGS001996.
- alzheimers disease: risk percentile 95.2%, coverage 100%, PGS002035.
- sleep duration: risk percentile 92.1%, coverage 100%, PGS001978.
Protein pathway context
- DBH: predicted level percentile 16.9%, R2 0.6647; pathway context only.
Candidate variants
- TT rs10427255 TT: snpedia_context.
Nicotine and alcohol reinforcement awareness
background
Smoking and alcohol-related genetic signals are elevated, but a broader addiction-risk signal is protective, so this is prevention context rather than a behavioral assumption.
Full explanation
The evidence includes elevated inherited signals for smoking initiation, past tobacco behavior, time to first cigarette, and alcohol-use disorder context. That does not say anything about current smoking, drinking, or personal choices.
A broader addiction-risk factor signal is low, which makes the overall pattern mixed. The best interpretation is that nicotine and alcohol may deserve extra prevention attention, especially in stressful periods or social environments where habits can form quickly.
If you do not smoke, the most evidence-aligned plan is to keep it that way. If alcohol is used, genetics supports keeping it moderate and avoiding using it as a sleep or stress tool.
What to watch forAvoid nicotine exposure and keep alcohol use modest. If stopping nicotine or changing alcohol intake is relevant, use structured support rather than relying on willpower alone.
Show technical evidence
Risk-score evidence
- smoking initiation: risk percentile 95.7%, coverage 100%, PGS003747.
- alcohol use disorder: risk percentile 94.1%, coverage 100%, PGS002739.
- past tobacco smoking: risk percentile 89.5%, coverage 91%, PGS001046.
- time from waking to first cigarette: risk percentile 81.5%, coverage 84%, PGS001532.
- addiction risk factors: risk percentile 4.5%, coverage 100%, PGS005215.
Candidate variants
- TT rs10427255 TT: snpedia_context.
Blood-cell and B-vitamin context
useful to review
Genetics points toward larger red-cell measures and B12-related anemia context, with immune-cell and platelet-size signals also present.
Full explanation
Several blood-related inherited scores stand out, especially red-cell size, hemoglobin content, B12-related anemia, reticulocyte volume, platelet distribution, and lymphocyte percentage. These are trait tendencies, not lab results.
The protein context includes folate-handling and immune-cell biology, and variant context overlaps with blood counts and serum protein traits. Together, these make nutrition and routine blood-count interpretation more relevant.
The evidence does not support taking supplements from genetics alone. It does support getting B12, folate, iron, and protein from foods, and using actual lab results if symptoms, pregnancy, vegetarian or vegan eating, heavy periods, or fatigue make blood status clinically relevant.
What to watch forEmphasize B12-rich foods, folate-rich plants, iron-containing foods, and adequate protein. Use actual blood tests, not genetics alone, to decide whether deficiency exists.
Show technical evidence
Risk-score evidence
- mean corpuscular volume: risk percentile 98.5%, coverage 100%, PGS001990.
- mean corpuscular hemoglobin: risk percentile 92.2%, coverage 100%, PGS001989.
- vitamin b12 deficiency induced anemia: risk percentile 95.2%, coverage 86%, PGS001305.
- mean reticulocyte volume: risk percentile 86.4%, coverage 100%, PGS002003.
- platelet distribution width: risk percentile 95.4%, coverage 100%, PGS001972.
- lymphocyte percentage: risk percentile 95.4%, coverage 96%, PGS003941.
Protein pathway context
- FOLR3: predicted level percentile 98.4%, R2 0.9226; pathway context only.
Candidate variants
- RCL1 rs10758658 GG: snpedia_context.
- LOC105376219 rs10980800 TT: snpedia_context.
- TNFSF12-TNFSF13,TNFSF13 rs11552708 GG: snpedia_context.
Joint, spine, and skin resilience
useful to review
Spine, hip, arthropathy, psoriasis, and benign skin-growth signals are elevated, while some knee, foot, and hand-fascia signals look protective.
Full explanation
The musculoskeletal and skin evidence is mixed but meaningful. Spine-disc, hip-arthrosis, arthropathy, psoriasis, seborrheic-keratosis, and sebaceous-cyst signals are elevated. At the same time, knee-derangement, bunion, and hand-fascia signals lean protective.
This pattern is useful for training choices. It supports progressive strength training, mobility, and gradual load increases rather than sudden jumps in running volume, impact, or heavy lifting.
For skin, the evidence is mainly awareness. Persistent inflammatory rashes, changing lesions, or painful cysts should be assessed clinically, but the genetics alone does not identify any current skin condition.
What to watch forUse progressive strength work, mobility, and gradual impact exposure. Pay attention to persistent joint inflammation, spine symptoms, or changing skin findings rather than ignoring them.
Show technical evidence
Risk-score evidence
- other intervertebral disk disorders: risk percentile 94.6%, coverage 88%, PGS000932.
- coxarthrosis arthrosis of hip: risk percentile 93.4%, coverage 88%, PGS000967.
- other arthropathies: risk percentile 95.7%, coverage 100%, PGS001877.
- psoriasis: risk percentile 86.7%, coverage 90%, PGS001313.
- seborrheic keratosis: risk percentile 97%, coverage 89%, PGS001140.
- sebaceous cyst: risk percentile 89.3%, coverage 100%, PGS001874.
Protein pathway context
- KLK12: predicted level percentile 13.2%, R2 0.7889; pathway context only.
Candidate variants
- WTAPP1 rs11225434 TT: snpedia_context.
- GG rs10865331 GG: snpedia_context.
- Variant rs11249215 GG: snpedia_context.
Hormone-signaling background
background
Hormone-related genetic signals include testosterone, binding-hormone, estrogen, growth-factor, and reproductive-pathway context, but this should be interpreted only with symptoms or labs.
Full explanation
Several hormone-related inherited signals are present, including testosterone-related, sex-hormone-binding, estrogen-related, and growth-factor context. Reproductive-pathway protein evidence also appears in the report.
Because no symptoms, cycle history, fertility history, medications, or hormone labs are available, this should stay in the background category. Genetics alone cannot say whether hormone levels are high, low, or clinically important right now.
The main value is interpretive. If there are concerns about irregular cycles, acne, hair changes, fertility, menopause transition, or unexplained body-composition changes, this genetic context may help frame a clinician conversation.
What to watch forTreat hormone findings as background unless symptoms or clinician-measured labs make them relevant. Do not infer hormone status from genetics alone.
Show technical evidence
Risk-score evidence
- testosterone: risk percentile 90.5%, coverage 100%, PGS001914.
- testosterone nmol l: risk percentile 81.1%, coverage 93%, PGS000696.
- sex hormone binding globulin: risk percentile 86%, coverage 100%, PGS001977.
- estradiol 212 pmol l: risk percentile 12.8%, coverage 88%, PGS001182.
- igf 1: risk percentile 14.6%, coverage 100%, PGS001960.
Protein pathway context
- FSHB: predicted level percentile 97%, R2 0.6068; pathway context only.
- ZP3: predicted level percentile 88.6%, R2 0.7546; pathway context only.
Medication Safety
Genes below have pharmacogenomic phenotypes that may affect drug choice or dose review. Use this as a clinical discussion aid, not as a standalone prescribing instruction.
CYP2C9
INTERMEDIATE METABOLIZER
*1/*2
Affected drugs: Warfarin, Phenytoin, Celecoxib, Flurbiprofen, Losartan, Simvastatin
CYP3A5
POOR METABOLIZER
*3/*3
Affected drugs: Tacrolimus, Sirolimus
CYP2B6
POOR METABOLIZER
*9/*9
Affected drugs: Efavirenz, Bupropion, Methadone
NAT2
POOR METABOLIZER
*5/*5
Affected drugs: hydralazine, amifampridine, amifampridine phosphate, procainamide, sulfamethoxazole / trimethoprim, sulfasalazine, isoniazid, isosorbide dinitrate
This report comes from consumer microarray data with statistical imputation. Confirm clinically before changing prescriptions.