hu54EEB2 Frozen Validation Report
341 PRS models · 1,636 protein predictions · 134 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
Iron, blood-cell, and folate-handling review
near-term focus
The strongest signal in this report points to iron and blood-cell biology, with folate-handling and immune-cell pathway support.
Full explanation
Your genetics show a strong tendency around iron metabolism and blood-cell traits. This does not say whether your iron is high, low, normal, or clinically important today.
The same cluster is supported by genetically predicted folate-handling and immune-cell protein patterns, plus variant context tied to white and red blood-cell traits. Together, that makes this one of the more coherent findings in the report.
This area matters because iron, red-cell production, folate handling, and immune-cell biology can influence energy, oxygen transport, exercise tolerance, and how routine bloodwork looks.
This would be worth discussing if you ever have unexplained fatigue, dizziness, restless legs, unusual bruising or bleeding, heavy periods, repeatedly unusual blood counts, abnormal ferritin or iron studies, or a family history of anemia or iron overload.
What to watch forIf symptoms, family history, or routine bloodwork ever point toward anemia, iron overload, or unusual blood counts, review this category with a clinician.
Show technical evidence
Risk-score evidence
- disorders of iron metabolism: risk percentile 99.9%, coverage 100%, PGS002031.
- haematocrit percentage: risk percentile 82.2%, coverage 100%, PGS001925.
- mean corpuscular hemoglobin: risk percentile 81.9%, coverage 100%, PGS001989.
- total protein: risk percentile 80.8%, coverage 100%, PGS002001.
Protein pathway context
- FOLR3: predicted level percentile 99.1%, R2 0.9226; pathway context only.
- LCP1: predicted level percentile 85.4%, R2 0.5128; pathway context only.
Candidate variants
- Variant rs11104870 TT: snpedia_context.
- ATP2B4 rs10900585 TT: snpedia_context.
Kidney, fluid balance, and blood-pressure tendency
near-term focus
Several kidney, blood-pressure, water-balance, creatinine, and urinary mineral signals point in the same direction.
Full explanation
Your genetics show a cluster around kidney function, blood-pressure handling, fluid balance, and mineral handling. This does not mean kidney disease or high blood pressure is present.
The evidence includes kidney-related genetic scores, creatinine and urine-related signals, high body-water tendency, and protein-pathway context involving kidney and vascular biology. A kidney-function variant adds further support.
The practical interpretation is that pressure, hydration, salt balance, kidney labs, and medicines that affect kidney function may be especially relevant context for you.
This category would be worth reviewing if you ever have repeatedly high blood-pressure readings, swelling, foamy urine, abnormal kidney-related labs, pregnancy-related blood-pressure issues, or are prescribed medicines that can affect blood pressure or kidney function.
What to watch forTreat blood-pressure readings and kidney-related labs as useful context, especially if they become abnormal or if kidney-affecting medicines are prescribed.
Show technical evidence
Risk-score evidence
- high blood pressure age at diagnosis: risk percentile 99%, coverage 88%, PGS000935.
- cystatin c mg l: risk percentile 97.2%, coverage 93%, PGS000680.
- chronic kidney disease: risk percentile 95.6%, coverage 100%, PGS004128.
- creatinine: risk percentile 82.6%, coverage 100%, PGS001945.
- creatininein urine: risk percentile 87.9%, coverage 100%, PGS001944.
- sodium in urine mmol l: risk percentile 90.9%, coverage 91%, PGS000695.
Protein pathway context
- DPEP1: predicted level percentile 86.3%, R2 0.548; pathway context only.
- KLK1: predicted level percentile 2%, R2 0.6165; pathway context only.
- LECT2: predicted level percentile 6.3%, R2 0.5765; pathway context only.
- XPNPEP2: predicted level percentile 91.4%, R2 0.5305; pathway context only.
Candidate variants
- LOC107986166 rs10937329 TT: snpedia_context.
Cardiovascular rhythm, valves, and vessel structure
useful to review
Heart rhythm, valve, vessel-wall, pulse-wave, vein, and lipid signals appear, while several coronary and clotting signals are protective.
Full explanation
Your cardiovascular evidence is mixed rather than uniformly high-risk. The more notable signals involve rhythm, valve and vessel structure, pulse-wave timing, varicose veins, and abdominal aortic aneurysm context.
At the same time, several signals related to heart attack, chronic coronary disease, angina, and clotting are protective. That makes the pattern more about rhythm, vessel structure, and vascular mechanics than a simple heart-disease story.
Protein and variant context also points toward vascular tone, inflammation, cell adhesion, and lipid traits, which fits the same broad category.
This would be worth discussing if you ever have palpitations, fainting, chest pain, shortness of breath with exertion, new leg swelling, a strong family history of aneurysm or rhythm problems, or unexpectedly abnormal cholesterol or blood-pressure results.
What to watch forUse symptoms, family history, blood pressure, rhythm symptoms, and lipid results to decide whether this cardiovascular pattern deserves clinical review.
Show technical evidence
Risk-score evidence
- atrial fibrillation and flutter: risk percentile 86.8%, coverage 100%, PGS001841.
- atrial flutter: risk percentile 83%, coverage 89%, PGS001263.
- position of the pulse wave peak: risk percentile 93.7%, coverage 90%, PGS001520.
- rr interval: risk percentile 81.4%, coverage 100%, PGS001907.
- varicose veins: risk percentile 80%, coverage 100%, PGS001845.
- myocardial infarction: risk percentile 6.6%, coverage 87%, PGS001316.
Protein pathway context
- KLK1: predicted level percentile 2%, R2 0.6165; pathway context only.
- MST1: predicted level percentile 89.7%, R2 0.6781; pathway context only.
- ICAM2: predicted level percentile 14.5%, R2 0.5536; pathway context only.
- PZP: predicted level percentile 15.4%, R2 0.5407; pathway context only.
Candidate variants
- Variant rs10402271 TT: snpedia_context.
- Variant rs10503669 CC: snpedia_context.
Metabolic body composition with glucose protection
useful to review
Body size, waist, visceral-fat, water, and lean-mass signals are high, but diabetes, glucose, and insulin-resistance signals are protective.
Full explanation
Your metabolic pattern is divergent. Genetics points toward higher body size, waist measurement, visceral-fat tendency, body water, and lean mass, but it also points away from several diabetes, glucose, and insulin-resistance risks.
That means body composition may matter more than glucose risk alone. The same weight or waist pattern can have different implications depending on fitness, blood pressure, lipids, liver markers, sleep, and real lab results.
The protein and variant context adds lipid, digestive, kidney, and metabolic-trait support, so this category feeds both diet and training guidance.
This would be worth reviewing if waist size rises, blood pressure or cholesterol changes, liver markers are abnormal, sleep quality worsens, endurance drops, or glucose results ever move out of range despite the protective genetic context.
What to watch forPrioritize body-composition quality: strength, steady aerobic work, fiber-rich meals, and attention to waist, blood pressure, lipids, and liver markers if they change.
Show technical evidence
Risk-score evidence
- weight: risk percentile 94.1%, coverage 96%, PGS003898.
- predicted visceral adipose tissue: risk percentile 91%, coverage 97%, PGS000844.
- whole body fat free mass: risk percentile 98.5%, coverage 96%, PGS003901.
- basal metabolic rate: risk percentile 0.29999999999999716%, coverage 96%, PGS003903.
- non insulin dependent diabetes: risk percentile 0.5%, coverage 90%, PGS001294.
- diabetes: risk percentile 1.3%, coverage 90%, PGS001327.
Protein pathway context
- PNLIPRP2: predicted level percentile 3.4%, R2 0.7241; pathway context only.
- LECT2: predicted level percentile 6.3%, R2 0.5765; pathway context only.
- PLB1: predicted level percentile 88.3%, R2 0.5555; pathway context only.
- DPEP1: predicted level percentile 86.3%, R2 0.548; pathway context only.
- XPNPEP2: predicted level percentile 91.4%, R2 0.5305; pathway context only.
- CGA: predicted level percentile 86.6%, R2 0.5201; pathway context only.
Candidate variants
- Variant rs10799701 GG: snpedia_context.
- Variant rs10402271 TT: snpedia_context.
- Variant rs10503669 CC: snpedia_context.
- Variant rs10504073 TT: snpedia_context.
- LOC107984063 rs10211524 GG: snpedia_context.
Immune, gut, and inflammatory balance
useful to review
Immune, inflammatory bowel, skin infection, blood-cell, and airway-surface protein signals form a broad inflammatory-regulation pattern.
Full explanation
Your immune evidence is broad. It includes autoimmune and inflammatory bowel signals, skin infection context, blood-cell signals, and several genetically predicted immune proteins.
The pattern does not diagnose an autoimmune or bowel condition. It suggests that immune regulation, gut inflammation, skin barrier response, and airway-surface defense are useful background themes.
Variant context adds inflammatory bowel, autoimmune liver, vasculitis, and type 1 diabetes associations. These are common-variant context, not confirmation of disease.
This would be worth discussing if you ever have persistent digestive inflammation, unexplained rashes, recurrent unusual infections, joint swelling, mouth ulcers, abnormal inflammatory markers, autoimmune family history, or symptoms that repeatedly flare in immune-like patterns.
What to watch forUse real symptoms and routine inflammatory, gut, skin, or autoimmune context to decide whether this broad immune pattern deserves review.
Show technical evidence
Risk-score evidence
- systemic lupus erythematosus: risk percentile 90%, coverage 99%, PGS000771.
- crohn s disease: risk percentile 85.5%, coverage 83%, PGS001331.
- inflammatory bowel disease: risk percentile 83.5%, coverage 100%, PGS004013.
- superficial cellulitis and abscess: risk percentile 93%, coverage 100%, PGS001869.
- neutrophil percentage: risk percentile 81%, coverage 96%, PGS003943.
- eosinophil percentage: risk percentile 8.3%, coverage 96%, PGS003944.
Protein pathway context
- FOLR3: predicted level percentile 99.1%, R2 0.9226; pathway context only.
- CLEC7A: predicted level percentile 2.6%, R2 0.5374; pathway context only.
- SFTPD: predicted level percentile 96.8%, R2 0.5378; pathway context only.
- LILRA6: predicted level percentile 92.5%, R2 0.5266; pathway context only.
- IL7R: predicted level percentile 91.2%, R2 0.5305; pathway context only.
- MST1: predicted level percentile 89.7%, R2 0.6781; pathway context only.
Candidate variants
- Variant rs10800309 GG: snpedia_context.
- Variant rs11117432 GG: snpedia_context.
- Variant rs10484561 TT: snpedia_context.
- LOC101929727 rs10509540 TT: snpedia_context.
Migraine, headache, and sensory stress background
background
Migraine and headache signals are strong. Mood and brain-wiring signals are mixed and should be treated as background, not diagnosis.
Full explanation
The clearest brain-related finding is headache and migraine tendency. That is stronger than the broader mood and neurodevelopmental signals.
The mood and sensitivity evidence is mixed: some signals point toward vulnerability, while other signals are protective. Brain-region rows are research context only and should not be read as a medical conclusion.
This pattern can be useful for understanding why sleep, stress, hydration, hormones, alcohol, skipped meals, light exposure, and recovery may matter for headache thresholds.
This would be worth discussing if headaches become frequent, disabling, associated with neurological symptoms, newly severe, linked to medication overuse, or if mood symptoms, anxiety, sleep disruption, or family history make the broader pattern clinically relevant.
What to watch forIf headaches are frequent or disruptive, treat sleep, hydration, stress load, skipped meals, and medication frequency as practical context for review.
Show technical evidence
Risk-score evidence
- migraine: risk percentile 98.3%, coverage 88%, PGS001282.
- headaches for 3 months: risk percentile 86.8%, coverage 100%, PGS001928.
- lifetime major depressive disorder: risk percentile 91.3%, coverage 98%, PGS000139.
- autism spectrum disorder: risk percentile 98.6%, coverage 72%, PGS000327.
- sensitivity hurt feelings: risk percentile 80.3%, coverage 91%, PGS001016.
- neuroticism score: risk percentile 14.2%, coverage 100%, PGS001996.
Candidate variants
- Variant rs10789369 GG: snpedia_context.
Connective tissue, veins, and hernia tendency
background
Hernia, vein, connective-tissue, and foot-structure signals appear, with protective counterweights for some joint and injury traits.
Full explanation
Your evidence includes signals around inguinal and hiatus hernia, varicose veins, connective-tissue involvement, and hallux valgus. This points to tissue support and mechanical load as useful background.
The pattern is not simply fragile joints. Several signals related to osteoarthritis, knee problems, radius fracture, and falls are protective, which makes the finding more specific to tissue support, veins, and hernia-like tendencies.
Protein context involving vascular tone, inflammation, skin barrier, and tissue structure fits this category, but it should be treated as pathway context rather than a diagnosis.
This would be worth discussing if you develop a new bulge, persistent groin or abdominal-wall pain, worsening reflux-like hernia symptoms, painful varicose veins, unexplained swelling, foot deformity symptoms, or repeated soft-tissue issues during training.
What to watch forBuild training loads gradually and take new hernia-like symptoms, painful veins, or recurring soft-tissue problems seriously if they appear.
Show technical evidence
Risk-score evidence
- inguinal hernia: risk percentile 96.6%, coverage 100%, PGS001854.
- hiatus hernia: risk percentile 92.4%, coverage 89%, PGS000939.
- other systemic involvement of connective tissue: risk percentile 85.9%, coverage 86%, PGS000960.
- varicose veins: risk percentile 80%, coverage 100%, PGS001845.
- hallux valgus: risk percentile 83.5%, coverage 100%, PGS001881.
- osteoarthritis: risk percentile 3.9%, coverage 89%, PGS001290.
Protein pathway context
- KLK1: predicted level percentile 2%, R2 0.6165; pathway context only.
- MST1: predicted level percentile 89.7%, R2 0.6781; pathway context only.
- KLK12: predicted level percentile 9.6%, R2 0.7889; pathway context only.
- TNN: predicted level percentile 19.9%, R2 0.5604; pathway context only.
Eye and skin surface awareness
background
Corneal, retinal, non-melanoma skin cancer, skin-barrier, and allergy-related evidence supports a background eye and skin category.
Full explanation
Your report includes eye-surface and retinal signals, plus non-melanoma skin cancer context. This is background awareness, not a prediction that a problem will happen.
Protein-pathway context overlaps with skin barrier, allergy-type signaling, and airway-surface defense, which keeps the category biologically coherent.
There are also protective eye-related signals, including glaucoma and diabetic eye disease, so the evidence is not uniformly adverse.
This would be worth discussing if you have sudden vision changes, flashes or floaters, eye trauma, recurring corneal problems, a strong family history of retinal disease, changing skin lesions, heavy sun exposure history, or clinician-noted skin findings.
What to watch forUse real eye symptoms, family history, and skin changes as the trigger for review rather than treating this as a diagnosis.
Show technical evidence
Risk-score evidence
- corneal dystrophy: risk percentile 92.5%, coverage 100%, PGS002042.
- retinal detachments and defects: risk percentile 86.7%, coverage 100%, PGS001833.
- non melanoma skin cancer: risk percentile 85.8%, coverage 89%, PGS001040.
- glaucoma: risk percentile 12.3%, coverage 88%, PGS001323.
- diabetic eye disease: risk percentile 7.3%, coverage 80%, PGS001028.
- retinal disorders in diseases classified elsewhere: risk percentile 18.5%, coverage 80%, PGS001276.
Protein pathway context
- CCL24: predicted level percentile 86.6%, R2 0.7115; pathway context only.
- KLK12: predicted level percentile 9.6%, R2 0.7889; pathway context only.
- SFTPD: predicted level percentile 96.8%, R2 0.5378; pathway context only.
Digestive tract and liver-processing context
background
Ulcer, hernia, liver-enzyme, lipid-digestion, bilirubin-related, and gallbladder signals create a mixed digestive category.
Full explanation
Your digestive evidence is mixed. There are signals around duodenal ulcer, hiatus hernia, liver-enzyme context, and digestive or lipid-processing proteins.
At the same time, several gallbladder and broader digestive-disease signals are protective, so this should not be read as a simple gastrointestinal risk finding.
Variant and medication-processing context add bilirubin-related handling. That is most relevant if a clinician is interpreting bilirubin labs or prescribing medicines affected by that pathway.
This would be worth discussing if you have persistent upper-abdominal pain, reflux-like symptoms, black stools, unexplained liver-marker changes, unusual bilirubin results, gallbladder symptoms, or medication decisions where liver processing matters.
What to watch forLet persistent digestive symptoms, liver-marker changes, bilirubin results, or relevant prescriptions determine whether this mixed category needs review.
Show technical evidence
Risk-score evidence
- duodenal ulcer: risk percentile 87.1%, coverage 79%, PGS001390.
- hiatus hernia: risk percentile 92.4%, coverage 89%, PGS000939.
- aspartate aminotransferase u l: risk percentile 90.9%, coverage 92%, PGS000673.
- cholelithiasis and cholecystitis: risk percentile 2.3%, coverage 100%, PGS001861.
- gallstones: risk percentile 3%, coverage 91%, PGS001256.
- cholelithiasis: risk percentile 4.5%, coverage 92%, PGS001174.
Protein pathway context
- PNLIPRP2: predicted level percentile 3.4%, R2 0.7241; pathway context only.
- PLB1: predicted level percentile 88.3%, R2 0.5555; pathway context only.
- TREH: predicted level percentile 15.4%, R2 0.5404; pathway context only.
Candidate variants
- UGT1A6,UGT1A7,UGT1A8,UGT1A9,UGT1A10 rs1105879 AA: snpedia_context.
Medication-response context
- UGT1A1: Indeterminate, *1/*80; affected medicines include Irinotecan, Atazanavir.
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.
CYP3A5
POOR METABOLIZER
*3/*3
Affected drugs: Tacrolimus, Sirolimus
UGT1A1
INDETERMINATE
*1/*80
Affected drugs: Irinotecan, Atazanavir
NAT2
POOR METABOLIZER
*16/*30
Affected drugs: hydralazine
This report comes from consumer microarray data with statistical imputation. Confirm clinically before changing prescriptions.