Personal Genomic & Ancestry Report

Genomic, Ancestry & Admixture Dashboard • GRCh37 VCF Analysis

99.92% Call Rate 654,017 Array Markers Illumina GSA-24v3-0
Primary Ancestry PCA
South Asian
DeepAncestry PCA placement
Steppe Signal MODEL
~17–20%
Consistent across Bronze Age and best 3-way models
Predicted Blood Group VCF
Possible Type O
ABO deletion call has low genotype quality; confirm clinically
Muscle Profile VCF
ACTN3 X/X
Alpha-actinin-3 deficient • modest endurance tendency
Closest Modern References
Meena (Rajasthan) 2.345
Punjabi (Lahore) 2.479
Brahmin (Andhra Pradesh) 2.516
Takeaway: Northwestern-to-north-central South Asian placement, with the strongest affinities spanning Rajasthan, Punjab, Gujarat and north-central India.
Holistic Ancestral Perspective
The Complete Ancestral Story:
The strongest supported picture is a predominantly South Asian profile shaped by Indus-related and AASI ancestry, with a meaningful Steppe-related contribution and smaller BMAC/Caucasus-related signals:
  • Bronze Age model: 44.8% Indus Valley Civilization, 22.4% AASI, 20.2% Central Steppe, 7.2% BMAC, 4.8% Bronze Age Caucasian and 0.6% Sub-Saharan African (fit 2.030).
  • Deep ancestry model: 38.6% AASI, 27.4% Zagros Neolithic Farmer, 15.0% European Hunter-Gatherer, 12.2% Caucasus Hunter-Gatherer, 6.6% Anatolian Neolithic Farmer and 0.2% Sub-Saharan African.
  • Best ancient 3-way fits: roughly 70–72% IVC, 17–19% Steppe proxy and 11–12% explicit AASI (fits 2.531–2.899). IVC already contains AASI/Iranian-related ancestry, so these percentages cannot be added across models.
The stable signal across models is predominantly IVC/AASI-related ancestry with approximately 17–20% Steppe-related ancestry.
Official IllustrativeDNA DeepAncestry Coordinates
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Authenticated IllustrativeDNA Bronze Age model:
Genetic fit: 2.030 (“Very close”). The model is tailored to the Indian Subcontinent.
Ancient Ancestral Streams
Bronze Age top 3 shown IVC (44.8%) AASI (22.4%) Steppe (20.2%)
Main Bronze Age Components
Ancestral Stream Share Historical Period, Archaeology & Evolutionary Context
Indus Valley Civilization
South Asian Bronze Age
44.8%
A composite IVC-related proxy carrying both Iranian-related farmer ancestry and indigenous South Asian ancestry.
Includes both Iranian-related farmer and AASI-related ancestry.
AASI-related
Indigenous South Asian
22.4%
Additional AASI-related ancestry outside the ancestry already embedded in the IVC proxy.
Interpretation: A statistical deep-ancestry proxy, not a sampled unmixed AASI genome.
Central Steppe
Bronze Age Herders
20.2%
Steppe-related Bronze Age ancestry represented by Central Steppe reference populations.
Consistent with the approximately 17–20% Steppe-related signal across the best models.
BMAC
Central Asia
7.2%
Bactria–Margiana Archaeological Complex-related ancestry, representing southern Central Asian Bronze Age affinity.
Bronze Age Caucasian
Caucasus
4.8%
A smaller Caucasus-related signal in the tailored Bronze Age model.
Sub-Saharan African
Trace
0.6%
Trace-sized output; too small and model-sensitive to interpret as a specific recent genealogical ancestor.
Hunter-Gatherer & Farmer Model
AASI38.6%
Zagros Neolithic Farmer27.4%
European Hunter-Gatherer15.0%
Caucasus Hunter-Gatherer12.2%
Anatolian Neolithic Farmer6.6%
Sub-Saharan African0.2%
This deeper model decomposes later populations into broad prehistoric ancestry layers. It answers a different question from the Bronze Age model.
Best Ancient Mixture Fits
#1 • Fit 2.531
70.5% IVC + 17.8% Andronovo + 11.7% AASI
#2 • Fit 2.532
71.3% IVC + 17.3% Battle Axe + 11.4% AASI
#3 • Fit 2.544
70.9% IVC + 17.5% Sintashta + 11.6% AASI
#8 • Fit 2.899
69.0% IVC + 18.8% Yamnaya + 12.2% AASI
The Steppe proxy changes, but the structure stays stable: about 70–72% IVC, 17–19% Steppe-related and 11–12% additional AASI. This repeatability is the useful signal.
DeepAncestry population distances
Lower distance means greater genetic similarity to the reference population average.
Quick filter population tables
Top 15 Closest Modern References
Rank Population Reference Distance Detailed Regional Context & Significance
#1 Meena Rajasthan 2.345
Closest modern reference; northern/western South Asian affinity.
#2 Punjabi Lahore 2.479
Strong northwestern South Asian affinity.
#3 Brahmin Andhra Pradesh 2.516
A nearby South Asian reference reflecting a similar broad ancestry balance.
#4 Gujarati B 2.608
Supports western Indian affinity within the broader South Asian continuum.
#5 Brahmin Tamil Nadu 2.645
Close southern Indian reference with a similar broad ancestry balance.
#6Gujarati C2.827
Western Indian reference.
#7Kshatriya Uttar Pradesh2.937
North-central Indian reference.
#8Gujarati3.759
Broad Gujarati reference.
#9Brahmin Uttar Pradesh3.809
North-central Indian reference.
#10Cochin Jew4.140
Southwestern coastal Indian reference.
#11Gujar Rajasthan4.232
Rajasthani reference.
#12Meghawal Rajasthan4.899
Rajasthani reference.
#13Gujarati D4.918
Western Indian reference.
#14Kurmi Uttar Pradesh5.035
North-central Indian reference.
#15Lambadi Andhra Pradesh5.146
South-central Indian reference.
Closest Ancient References
Rank Ancient Reference Distance Interpretation
#1 Medieval Indian Roopkund 4.116
Closest ancient reference.
#2 Gandhara Indo-Greek 4.674
Supports affinity to ancient populations from the northwestern subcontinent.
#3 Indus Valley Civilization 5.224
Directly reflects the major IVC-related ancestry signal.
#4 Gandhara Mauryan 5.846
A second close Gandhara-period comparison.
#5Gandhara Saka-Parthian7.026
Northwestern South Asian Iron Age affinity.
#6Medieval Swat Barikot7.151
Swat Valley historical-period affinity.
#7Gandhara Grave Culture8.082
Bronze/Iron Age northwestern affinity.
#8Indian Mauryan8.114
Ancient Indian reference.
#9Medieval Swat Udegram12.365
Later Swat Valley reference.
#10Post-Medieval Swat Singoor12.859
Post-medieval northwestern reference.
Best Modern 2-Way Fits
Fit 2.034: 59.2% Meena Rajasthan + 40.8% Brahmin Tamil Nadu
Fit 2.084: 81.0% Meena Rajasthan + 19.0% Kurmi Uttar Pradesh
Fit 2.097: 74.8% Meena Rajasthan + 25.2% Gujarati
Fit 2.187: 58.0% Meena Rajasthan + 42.0% Punjabi Lahore
Best Modern 3-Way Fits
Fit 1.995: 44.6% Meena Rajasthan + 18.4% Ror Haryana + 37.0% Velama Andhra Pradesh
Fit 2.002: 15.4% Kamboj Rajasthan + 36.6% Kurmi Uttar Pradesh + 48.0% Meena Rajasthan
Fit 2.017: 34.1% Kurmi Uttar Pradesh + 54.6% Meena Rajasthan + 11.3% Ror Haryana
Overall position: between northern/western and southern Indian reference profiles.
Paternal Lineage (Y-DNA)
Not resolved
Dedicated Y-DNA test needed
Requires dedicated Y-chromosome sequencing or a high-density Y-SNP test.
Maternal Lineage (mtDNA)
Not resolved
Full mtDNA sequence needed
Requires full mitochondrial genome sequencing.
Verified Dataset Quality
Array Markers
654,017
Call Rate
99.92%
Genome Build
GRCh37
Array
GSA v3
Best uses: autosomal ancestry, common genotyped traits and GEDmatch comparisons.
Practical Takeaways

Caffeine & Sleep Timing

Likely slower caffeine handling. A sensible experiment is a 6–8 hour pre-sleep cutoff for two weeks, then judge by sleep quality. Smoking, medication and habitual intake can change the effect.

Folate & B-Vitamin Metabolism

No common MTHFR C677T reduced-function allele detected. Ordinary folate-rich food is a reasonable baseline; this result alone gives no special reason to prefer methylfolate supplements.

Focus & Stress Management

COMT Val/Met is an intermediate-activity genotype. It is compatible with a middle-of-the-range dopamine breakdown tendency, but actual focus and stress response should be judged from experience, not this SNP alone.

Muscle Training & Stamina

ACTN3 577X/X is the clearest muscle finding. It removes functional alpha-actinin-3 and modestly favors endurance-oriented physiology. Endurance and mixed training may feel natural, while power can still be developed normally with training.

Genotyped Wellness, Behavior & Metabolic Traits
All Traits (12) Cognition & Stress Metabolism & Diet Physical & Sleep Blood & Immunity
Trait / Biological Pathway Gene & Genotype Interpretation
Dopamine & Stress Response COMT Val158Met
rs4680: G / A
Val/Met genotype
Intermediate COMT activity on average; individual cognitive and stress effects are usually small.
Limit: This single marker cannot predict focus, memory, resilience or response to stress for an individual.
Caffeine Clearance Rate CYP1A2 163A>C
rs762551: C / C
Slow Caffeine Metabolizer
Associated with slower caffeine clearance; sleep response remains the best personal guide.
Limit: It does not establish a personal 6–8 hour half-life or a universal 2 PM cutoff. Observed sleep response is more actionable.
Caffeine Sensitivity / Anxiety A2AR Adenosine Receptor
rs5751876: T / C
Moderate Caffeine Sensitivity
Associated with moderate caffeine sensitivity and a greater chance of jitters at high doses.
Limit: Jitters and alertness depend strongly on dose, tolerance, sleep and other factors; this SNP is not determinative.
Satiety & Appetite Control FTO Fat-Mass Gene
rs9939609: T / T
Protective Genotype (Low Risk)
Two non-risk alleles at this common FTO weight-association marker.
Limit: This is one small-effect association and cannot predict appetite control, eating behavior or body weight.
Predicted Blood Group ABO Glycosyltransferase
rs8176719: 0 / 0 (D/D)
Predicted Type O Blood
Homozygous for the 261delG frameshift deletion in exon 6 of the ABO gene, which completely inactivates A and B glycosyltransferase enzymes.
Limit: The deletion call has low genotype quality and ABO type also depends on other alleles. Treat Type O as tentative and confirm with a blood-typing test.
Bitter Taste Sensitivity TAS2R38 Taste Receptor
rs713598: C / C
Moderate Bitter Taster
Consistent with bitter-taste sensitivity, although the full TAS2R38 haplotype is not phased here.
Limit: TAS2R38 taste phenotype requires a correctly phased multi-SNP haplotype and does not reliably predict preferences from this marker alone.
Sleep Schedule & Chronotype CLOCK Gene
rs1801260: A / G
Flexible Circadian Rhythm
A common CLOCK variant with small and inconsistent chronotype associations.
Limit: One CLOCK association cannot establish chronotype or adaptability; sleep history and behavior are much stronger evidence.
Endogenous Pain Threshold OPRM1 Opioid Receptor
rs1799971: A / G
Association is inconsistent
Carries one copy of the 118G variant in the mu-opioid receptor gene (OPRM1).
Limit: Published effects vary by population and endpoint. Do not infer an individual pain threshold or medication response from this SNP.
Lactose Digestion MCM6 / LCT Gene
rs4988235: A / A
Lactase Persistence (Tolerant)
Homozygous for the Eurasian -13910*T (A) persistence enhancer mutation upstream of the LCT lactase gene.
Interpretation: This genotype supports European-associated lactase persistence, but symptoms still depend on dose, gut health and ancestry-specific variants.
Muscle Performance Profile ACTN3 Alpha-Actinin-3
rs1815739: T / T
ACTN3 deficiency; modest endurance association
Homozygous for the 577X null allele (T/T), leading to alpha-actinin-3 deficiency in fast-twitch skeletal muscle fibers.
Limit: Population studies show a modest shift toward endurance phenotypes, not guaranteed endurance, fatigue resistance or recovery. Training history dominates performance.
Alcohol Metabolism (Flush) ALDH2 Dehydrogenase
rs671: G / G
No ALDH2*2 allele at rs671
Homozygous for the wild-type ALDH2*1 allele, producing fully functional aldehyde dehydrogenase enzymes.
Limit: This lowers the likelihood of classic ALDH2*2 flushing but does not make alcohol safe or rule out symptoms from other causes.
Folate Metabolism Pathway MTHFR Reductase
rs1801133: G / G
Common non-677T genotype
The VCF call is consistent with no copies of the common C677T reduced-function allele.
Limit: This does not guarantee optimal folate metabolism or determine supplement requirements; diet, other variants and laboratory values matter.
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