New Patient Summary

Prepared for primary care visit

Patient: Viacheslav Kim Age: 37 Sex: Male Occupation: IT specialist (sedentary) Relocated from: Kyrgyzstan Prepared: March 24, 2026
Hello Doctor, I am establishing primary care after recently moving from Kyrgyzstan to the United States, so some of my past medical records may not be available electronically in U.S. systems. I am 37 years old and work as an IT specialist, spending long periods sitting during the day, which I think may contribute to some of my musculoskeletal symptoms. I have consumer whole genome sequencing data (30x WGS from Sequencing.com) that I have included as a reference appendix at the end of this document, in case any of it is clinically useful.
Main concerns: Chronic right-sided breathing restriction after an old chest injury; long-term musculoskeletal issues including flat feet, plantar fasciitis, and back pain; intermittent blood pressure up to about 140/100 with strong family cardiac history; prior fatty liver with elevated liver enzymes; and chronic skin/scalp issues.

Goals for This Visit

1. Breathing / Right Chest Symptoms

2. Musculoskeletal / Spine / Foot Issues

Bicycle accident at age ~17 (mountain terrain)

Prior spine imaging findings

Childhood fracture history

3. Blood Pressure / Cardiovascular Concerns

4. Liver History

5. Skin / Scalp Issues

6. Other History

Recent Results (March 23, 2026 — UW Medicine)

PCP: Harrison Strom Dellinger, ARNP — UW Medicine Primary Care, Family Medicine at South Lake Union
View original lab report (PDF)

Chest X-ray (2 views)

Finding: Small right pleural effusion. Lungs clear. No pneumothorax. Heart and mediastinum unremarkable. Bones: no acute or suspicious abnormality.

Provider note: “I am seeing a small right pleural effusion or area near the lung that is filled with liquid. I do wonder if this is a change from the traumatic injury you had when you were younger. Lets plan to follow up with pulmonology.”

Referred to: UWMC Pulmonary Medicine (206-598-4615)

Screening

TestResult
Hepatitis C AntibodyNonreactive
HIV Antigen and AntibodyNonreactive

CBC

TestValueRef Range
WBC5.984.3 – 10.0 10*3/uL
RBC5.524.40 – 5.60 10*6/uL
Hemoglobin16.913.0 – 18.0 g/dL
Hematocrit51 (H)38.0 – 50.0 %
MCV9281 – 98 fL
MCH30.627.3 – 33.6 pg
MCHC33.432.2 – 36.5 g/dL
Platelet Count232150 – 400 10*3/uL
RDW-CV11.611.0 – 14.5 %

Comprehensive Metabolic Panel

TestValueRef Range
Sodium141135 – 145 meq/L
Potassium3.73.6 – 5.2 meq/Llower end
Chloride10198 – 108 meq/L
CO2, Total2822 – 32 meq/L
Anion Gap124 – 12
Glucose9062 – 125 mg/dL
BUN128 – 21 mg/dL
Creatinine0.950.51 – 1.18 mg/dL
Total Protein8.3 (H)6.0 – 8.2 g/dL
Albumin5.23.5 – 5.2 g/dL
Total Bilirubin0.50.2 – 1.3 mg/dL
Calcium9.58.9 – 10.2 mg/dL
AST239 – 38 U/L
Alk Phos5236 – 122 U/L
ALT3610 – 64 U/L
eGFR (CKD-EPI 2021)>60>59 mL/min/1.73m²

Thyroid

TestValueRef Range
TSH3.0860.400 – 5.000 u[IU]/mL

Lipid Panel

TestValueRef Range
Total Cholesterol190<210 mg/dL
Triglycerides1490 – 175 mg/dLupper end
HDL Cholesterol40>39 mg/dLborderline low
Non-HDL Cholesterol150<190 mg/dL
LDL Cholesterol (calc.)125<160 mg/dLmay be above target given family hx
Cholesterol/HDL Ratio4.8>4.0 = elevated risk
TG/HDL Ratio (calculated)3.7>3.5 = insulin resistance marker

Additional Labs

TestValueRef Range
Uric Acid6.83.9 – 7.6 mg/dLat crystallization threshold (6.8)
Apolipoprotein B13763 – 152 mg/dL>130 per some CV guidelines
Ferritin267 (H)20 – 230 ng/mL

Summary of notable findings

Tests not yet performed that may be relevant

These were not part of the initial panel but may provide additional context given the results above.

Family History

Father (deceased)
  • Significant heart disease
  • Hypertension
  • Gout with tophi
  • Cardiac disease was a major factor
Paternal relatives
  • Multiple family members with high blood pressure
  • Multiple cardiac events/deaths

Current Supplements

SupplementNotes
CreatineMay affect serum creatinine lab values
Fiber (psyllium + ground flaxseed)
B vitamins
TMG (trimethylglycine)Methyl donor
GlyNAC (glycine + N-acetylcysteine)Glutathione precursor

Genomic Reference Appendix

The following is provided as supplementary context from consumer 30x whole genome sequencing (Sequencing.com, GRCh38). All variants were independently verified against the raw genome file. Interpretations reference current CPIC pharmacogenomics guidelines and published GWAS meta-analyses. This data has not been validated in a CLIA/CAP laboratory.

Pharmacogenomic Profile

These findings may be relevant if medications in these categories are considered.

Statin considerations — dual transporter variants

Two transporter gene variants (SLCO1B1 *1/*5 and ABCG2 Q141K homozygous) may affect how several statins are metabolized. Per CPIC 2022 guidelines, some statins carry higher myopathy risk in this genotype profile:

StatinConsiderationCPIC 2022
PravastatinLeast affected by these transportersStrong
FluvastatinLeast affected by these transportersStrong
RosuvastatinABCG2 variant may approximately double blood levels; ≤10 mg suggestedModerate
AtorvastatinModerate SLCO1B1 sensitivity; ≤40 mg suggestedModerate
PitavastatinLimited by SLCO1B1; ≤2 mg suggestedModerate
SimvastatinHighest myopathy risk with SLCO1B1 *5; ≤20 mg or consider alternativesStrong
Warfarin sensitivity
VKORC1 −1639 A/A (rs9923231 T/T) + CYP4F2 *1/*3 (rs2108622 C/T)
This genotype is associated with significantly lower warfarin requirements (~3–4.4 mg/day vs. 5–7 mg standard). If warfarin is ever considered, the IWPC pharmacogenetic dosing algorithm may be helpful. CPIC Strong, 2017.
Clopidogrel — intermediate metabolizer
CYP2C19 *1/*2 (rs4244285 G/A)
This genotype reduces active metabolite formation by ~30%. CPIC 2022 guidelines note that prasugrel or ticagrelor may be more effective alternatives for ACS/PCI indications. Standard PPI dosing is unaffected.
CYP3A5 expressor
rs776746 T/C • *1/*3
If tacrolimus is ever needed, this genotype is associated with faster metabolism and potentially higher starting doses. CPIC Strong, 2015.
CYP2D6 — normal metabolizer
rs1065852 G/A • *1/*10 (AS 1.25)
Reclassified as normal metabolizer per 2019 CPIC consensus. Standard dosing expected for codeine, tramadol, beta-blockers, SSRIs.

Cardiovascular Genomic Context

These variants provide background context for the family history and blood pressure findings.

Uric acid / gout risk Elevated risk
ABCG2 Q141K homozygous (rs2231142 T/T) — this is the primary renal/intestinal urate transporter. Homozygous carriers have substantially reduced urate excretion, with published gout odds ratios of 3.1–4.3×.
GCKR P446L homozygous (rs1260326 C/C) — may increase uric acid production via hepatic de novo lipogenesis.
Combined with father's gout with tophi, this may warrant baseline uric acid screening. ABCG2 Q141K may also reduce allopurinol efficacy (DPWG) and increase rosuvastatin blood levels.
Blood pressure context
AGT M235T (rs699 het) — modestly associated with higher angiotensinogen levels (hypertension OR 1.08 in meta-analysis of 45,267). May suggest RAAS pathway involvement.
ADRB2 Gln27Gln (rs1042714 C/C hom) — associated with exaggerated sympathetic activity, but exercise training specifically normalizes this in Gln27 carriers. Consistent with the blood pressure improvement I notice with running.
NOS3 Glu298 (rs1799983 G/G) — wild-type. Normal endothelial nitric oxide production.
Lipid and cardiovascular protective findings Favorable
APOE ε3/ε3 — neutral cardiovascular risk, no ε4 allele.
PON1 192R/R (rs662 C/C hom) — highest paraoxonase enzymatic activity; associated with protection against LDL oxidation.
IL-6 −174 G/G (rs1800795) — reference genotype associated with lower IL-6 and CRP levels. No IL-6-driven inflammatory risk.
LIPC −514 C/T (rs1800588 het) — associated with modestly higher HDL, particularly with exercise.
TRIB1 T/T (rs2954029) — reference/favorable genotype for lipids.
Factor V Leiden (rs6025) and Prothrombin G20210A (rs1799963) — both absent.

Liver & Metabolic Genomic Context

NAFLD genetic risk — low Favorable
PNPLA3 I148M (rs738409) and TM6SF2 (rs58542926) — both absent (reference genotype). These are the two strongest genetic predictors of NAFLD progression and fibrosis risk. Their absence suggests that the prior steatosis at age 24 was likely lifestyle-driven and potentially reversible.
GCKR P446L — metabolic modifier
rs1260326 C/C • homozygous
Associated with increased hepatic glucose uptake, higher triglycerides, and paradoxically lower fasting glucose. May have contributed to prior steatosis. Carriers reportedly respond well to lifestyle intervention.
Obesity-related variants Informational
FTO (rs9939609, rs1558902, rs9930506 — all heterozygous) — each allele raises BMI ~0.3–0.4 kg/m² (obesity OR ~1.2). A meta-analysis of 218,166 individuals found that physical activity attenuates FTO-mediated risk by ~30%.
MC4R (rs17782313 T/C het) — associated with increased appetite drive (obesity OR 1.32). Sedentary work may amplify this effect.
These variants are common and modest in effect, but exercise appears to be an effective countermeasure for both.

Bone Health & Vitamin D Genomic Context

Potentially relevant to the ~12 childhood fractures.

Vitamin D pathway — multiple variants suggest lower levels
CYP2R1 (rs10741657 G/G hom) — the primary hepatic 25-hydroxylase. GG is the GWAS risk genotype, associated with significantly lower 25(OH)D (meta-analysis of 52,417 participants).
CYP24A1 (rs6013897 A/A hom) — increased vitamin D catabolism. Combined with CYP2R1, this creates reduced activation plus increased degradation.
NADSYN1/DHCR7 (rs12785878 T/T hom) — favorable for cutaneous vitamin D synthesis (partially offsetting).
GC (rs7041 het) and VDR FokI (rs2228570 het) — intermediate effects.

The combined genetic profile may predict ~3–5 ng/mL lower 25(OH)D than average, which could contribute to suboptimal bone mineralization during adolescent growth. COL1A1 Sp1 polymorphism (rs1800012) is absent, making collagen-mediated bone quality defects unlikely.
Joint & connective tissue
GDF5 (rs143383 A/A hom) — associated with reduced GDF5 expression and increased osteoarthritis risk.
COL5A1 (rs12722 C/T het) — collagen type V variant; research links it to altered connective tissue properties and tendon/ligament injury susceptibility.

Thyroid Genomic Context

FOXE1/PTCSC2 region — thyroid cancer risk variant Elevated risk
rs965513 G/G • homozygous alt • ClinVar: “Established risk allele” for nonmedullary thyroid cancer
This variant resides in a regulatory region affecting FOXE1 (thyroid transcription factor 2) expression. A meta-analysis of 23 studies (n=163,136) found homozygous carriers have an odds ratio of approximately 2.8 for nonmedullary thyroid cancer. About 11% of the general population carries this homozygous genotype.

Some research also suggests that higher TSH levels within the normal range are independently associated with increased thyroid malignancy risk. The patient’s TSH of 3.086 is within the standard reference range but above the level found in 95% of disease-free individuals (<2.5 per NACB data).

This context may be relevant when considering baseline thyroid evaluation (ultrasound, full thyroid panel including TPO/TgAb) and long-term monitoring frequency.

Blood Work & Genomic Integration

How some of the lab findings connect to the genomic data.

Lipid pattern and insulin resistance context
The combination of TG 149, HDL 40, ApoB 137, and a TG/HDL ratio of 3.7 is consistent with a pattern sometimes called atherogenic dyslipidemia, which is associated with insulin resistance. The GCKR P446L homozygous genotype increases hepatic glucose uptake and de novo lipogenesis, which can elevate triglycerides and drive hepatic VLDL production. The FTO and MC4R heterozygous variants contribute modest metabolic predisposition that is amplified by sedentary occupation.

Fasting insulin and HbA1c could help quantify the degree of insulin resistance suggested by this pattern.
Ferritin in the absence of hemochromatosis
Ferritin at 267 with all three HFE mutations absent (C282Y, H63D, S65C confirmed absent in genomic data) makes genetic hemochromatosis very unlikely. In HFE-negative individuals, elevated ferritin is most commonly seen with metabolic syndrome/insulin resistance (“dysmetabolic hyperferritinemia”), inflammation, or liver disease. Given the TG/HDL ratio of 3.7 and the GCKR genotype, a metabolic cause is plausible. Transferrin saturation and hs-CRP could help differentiate.
Vitamin D was not tested
The patient lives in Seattle (47.6°N latitude), where UVB is insufficient for cutaneous vitamin D synthesis roughly October through March. The genomic profile includes CYP2R1 G/G (reduced 25-hydroxylation) and CYP24A1 A/A (increased catabolism), plus GC rs7041 het (reduced vitamin D binding protein), which together may predict lower 25(OH)D levels. Additionally, the GC variant can reduce response to standard supplementation doses. Serum 25(OH)D testing could be informative.

Skin / Scalp Genomic Context

VDR FokI (het) — VDR regulates cathelicidin/LL-37, a key antimicrobial peptide in skin that is bactericidal against S. aureus. Vitamin D status directly affects this pathway.
IL-10 −819 C/T (rs1800871 het) — intermediate anti-inflammatory cytokine capacity. Associated with susceptibility to S. aureus skin infections in some studies.
The vitamin D pathway variants described above may also affect skin antimicrobial defense. Vitamin D optimization could potentially benefit both bone health and skin barrier function.

Methylation Profile

MTHFR Normal
C677T (rs1801133): wild-type — full enzyme activity
A1298C (rs1801131): T/G het — ~85% activity, clinically insignificant alone
COMT Val158Met Intermediate
rs4680: G/A het
Intermediate catecholamine clearance.

MTRR (rs1801394 A/G het) — mildly reduced B12 recycling; clinically insignificant in isolation.

Supplement Genomic Context

For reference — how the current supplement stack relates to the genomic findings.

SupplementGenomic context
CreatineSafe with liver history (NHANES n=5,957). Spares ~40% of SAM methylation demand.
PsylliumMeta-analysis of 28 RCTs: ~13 mg/dL LDL reduction. May be particularly valuable if statin options are limited.
Ground flaxseedALA omega-3; some evidence that omega-3 modulates GCKR impact on triglycerides.
B vitaminsMTHFR C677T is wild-type, so standard folic acid is fully metabolized. Standard doses appear adequate.
TMGProvides methyl groups via BHMT pathway, complementary to folate cycle. Pilot data for hepatoprotective effects.
GlyNACNAC reduces ALT in NAFLD per multiple RCTs. Glutathione precursor.
Vitamin D3 (not currently taking)Given the CYP2R1/CYP24A1 genotype, standard doses (600–1,000 IU) may be insufficient. Higher doses (2,000–4,000 IU/day) are sometimes suggested for this profile, with a target of 40–60 ng/mL.

Possible Considerations for Follow-up

These are not prescriptive — just context that might inform follow-up decisions at your discretion. Several baseline labs have already been completed (see results above).

Already completed (March 2026)

Not yet tested — potentially informative given results + genomics

Reassuring Findings

APOE ε3/ε3 (no ε4) • PNPLA3 + TM6SF2 reference (low NAFLD-progression risk) • NOS3 Glu298 wild-type (normal eNOS/NO) • MTHFR C677T wild-type • PON1 RR (highest paraoxonase activity) • TRIB1 TT (favorable lipids) • IL-6 −174 GG (no inflammatory risk from this locus) • Factor V Leiden + Prothrombin absent • COL1A1 Sp1 absent • CYP2D6 normal metabolizer • CASR normal
Note: Genomic data is from consumer whole genome sequencing (30x WGS, Sequencing.com) and has not been independently validated in a clinical (CLIA/CAP) laboratory. Pharmacogenomic references cite CPIC guidelines by year and strength level. Cardiovascular and metabolic variants cite published GWAS meta-analyses. All findings represent common polygenic risk alleles and pharmacogenomic variants. This information is provided as supplementary context and is not intended to replace clinical judgment.