🧬 Bulgarian DNA Breakdown:
Ancient DNA (qpAdm):
🌾 58.4% Anatolian
🐎 32.3% Steppe
🌳 5.9% Western Hunter-Gatherer
🐎 3.4% Proto-Turk
🧬 G25 Analysis:
53.6% Slavic
44% Thracian + Mixed Anatolian
2.4% Proto-Turk
🤝 Genetically close to Romanians.
@illyrianometer
Ancient DNA (qpAdm):
🌾 58.4% Anatolian
🐎 32.3% Steppe
🌳 5.9% Western Hunter-Gatherer
🐎 3.4% Proto-Turk
🧬 G25 Analysis:
53.6% Slavic
44% Thracian + Mixed Anatolian
2.4% Proto-Turk
🤝 Genetically close to Romanians.
👍10❤2
DNAmeter
The study analyzed the ancient DNA of George Bähr, the architect of the Dresden Frauenkirche, using modern genetic methods to uncover his genetic origins and phenotypic traits. The results showed that Bähr had light skin and brown eyes, with Central European…
In response to those who believe George's prediction is flawed because "This Hiris Plex is bullcrap, that makes ancient Europeans darker for political reasons": here are his results on the Andrei Trait Tool V14...
One must eventually admit that there are many Europeans who are not from the South (neither Portuguese, Sicilian, Maltese, Cypriot, nor others) and who have brown eyes, sometimes very dark, because it is familial, the genetic lottery works that way too.
In George's case, predicting his actual REAL, in the real life, eye color is complicated; he could have had light brown, hazel, dark brown, or perhaps even lighter eyes, but it's more likely that he had hazel or light-medium brown eyes.
My brother has a lighter eyes color prediction than George but has light brown eyes in real life (maybe was the case of George? Or not).
Link to George's raw data:
https://www.mediafire.com/file/w6v6yk4tfwchfsz/george_baehr23.txt/file
One must eventually admit that there are many Europeans who are not from the South (neither Portuguese, Sicilian, Maltese, Cypriot, nor others) and who have brown eyes, sometimes very dark, because it is familial, the genetic lottery works that way too.
In George's case, predicting his actual REAL, in the real life, eye color is complicated; he could have had light brown, hazel, dark brown, or perhaps even lighter eyes, but it's more likely that he had hazel or light-medium brown eyes.
My brother has a lighter eyes color prediction than George but has light brown eyes in real life (maybe was the case of George? Or not).
Link to George's raw data:
https://www.mediafire.com/file/w6v6yk4tfwchfsz/george_baehr23.txt/file
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DNAmeter
In response to those who believe George's prediction is flawed because "This Hiris Plex is bullcrap, that makes ancient Europeans darker for political reasons": here are his results on the Andrei Trait Tool V14... One must eventually admit that there are…
george_baehr23.txt.html
157.7 KB
Report
DNAmeter
In response to those who believe George's prediction is flawed because "This Hiris Plex is bullcrap, that makes ancient Europeans darker for political reasons": here are his results on the Andrei Trait Tool V14... One must eventually admit that there are…
To compare, this is my brother results (nebula raw data, very good quality) VS real life color: brown (medium light). So, yeah, more complexe.
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Source: https://www.pnas.org/doi/10.1073/pnas.2406734121
Analysis of 34 French Iron Age samples reveals:
Hair Color Probability Distribution:
Brown: 58.8% (20 samples)
Blond: 26.5% (9 samples)
Red: 2.9% (1 sample)
Unspecified: 11.8% (4 samples)
Hair Shade Probability Distribution:
Light: 85.3% (29 samples)
Dark: 14.7% (5 samples)
Key Observations:
Brown hair probabilities range from 46% to 74%;
Blond hair probabilities range from 43% to 66%;
One case of red hair at 65% probability (COL330);
Light shade probabilities often exceed 90%;
Dark shade high probabilities in 4 samples (GDF1348, GDF1349B, PT7, Pech9);
Some samples show discrepancies between color and shade probabilities.
@illyrianometer
Analysis of 34 French Iron Age samples reveals:
Hair Color Probability Distribution:
Brown: 58.8% (20 samples)
Blond: 26.5% (9 samples)
Red: 2.9% (1 sample)
Unspecified: 11.8% (4 samples)
Hair Shade Probability Distribution:
Light: 85.3% (29 samples)
Dark: 14.7% (5 samples)
Key Observations:
Brown hair probabilities range from 46% to 74%;
Blond hair probabilities range from 43% to 66%;
One case of red hair at 65% probability (COL330);
Light shade probabilities often exceed 90%;
Dark shade high probabilities in 4 samples (GDF1348, GDF1349B, PT7, Pech9);
Some samples show discrepancies between color and shade probabilities.
❤4👍1
DNAmeter
Source: https://www.pnas.org/doi/10.1073/pnas.2406734121 Analysis of 34 French Iron Age samples reveals: Hair Color Probability Distribution: Brown: 58.8% (20 samples) Blond: 26.5% (9 samples) Red: 2.9% (1 sample) Unspecified: 11.8% (4 samples) Hair Shade…
Eye Color Probabilities for French Iron Age Samples
Analysis of 34 samples:
Distribution of Eye Colors:
Brown: 22 samples (64.7%)
Blue: 12 samples (35.3%)
Detailed Probabilities:
ATT27: Blue (88%)
ATT3: Brown (79%)
ATT52-2: Blue (91%)
BES1154: Blue (91%)
BUCHA43: Brown (43%)
CHF106: Brown (84%)
CLR23: Brown (51%)
CLR24: Brown (99%)
CLR31: Brown (94%)
CLR35: Brown (98%)
CLR44: Brown (97%)
COL239: Brown (77%)
COL330: Brown (84%)
GGI12-2: Blue (78%)
ERS83-2: Blue (93%)
GDF1231: Brown (79%)
GDF1264: Brown (84%)
GDF1341: Brown (51%)
GDF1348: Brown (99%)
GDF1349B: Brown (99%)
GLN141: Brown (94%)
GGx287B: Blue (91%)
ISE6950: Brown (84%)
PAL170: Brown (92%)
Pech3: Brown (72%)
Pech9: Brown (99%)
PEY73: Blue (95%)
PT7: Brown (97%)
SCPG2: Brown (35%)
UN129: Blue (95%)
UN19: Brown (90%)
UN85: Blue (95%)
VAS75: Blue (90%)
VAS79-2: Brown (91%)
WET429: Blue (96%)
Key Observations:
Brown eye probabilities range from 35% to 99%;
Blue eye probabilities range from 78% to 96%;
15 samples have a probability ≥90% for their predicted color;
Sample BUCHA43 has the lowest probability (43% for brown);
Sample SCPG2 has a relatively low probability (35% for brown);
This analysis shows a predominance of brown eyes in the French Iron Age population, with a significant presence of blue eyes. The probabilities are generally high, suggesting good confidence in these predictions for most samples.
Analysis of 34 samples:
Distribution of Eye Colors:
Brown: 22 samples (64.7%)
Blue: 12 samples (35.3%)
Detailed Probabilities:
ATT27: Blue (88%)
ATT3: Brown (79%)
ATT52-2: Blue (91%)
BES1154: Blue (91%)
BUCHA43: Brown (43%)
CHF106: Brown (84%)
CLR23: Brown (51%)
CLR24: Brown (99%)
CLR31: Brown (94%)
CLR35: Brown (98%)
CLR44: Brown (97%)
COL239: Brown (77%)
COL330: Brown (84%)
GGI12-2: Blue (78%)
ERS83-2: Blue (93%)
GDF1231: Brown (79%)
GDF1264: Brown (84%)
GDF1341: Brown (51%)
GDF1348: Brown (99%)
GDF1349B: Brown (99%)
GLN141: Brown (94%)
GGx287B: Blue (91%)
ISE6950: Brown (84%)
PAL170: Brown (92%)
Pech3: Brown (72%)
Pech9: Brown (99%)
PEY73: Blue (95%)
PT7: Brown (97%)
SCPG2: Brown (35%)
UN129: Blue (95%)
UN19: Brown (90%)
UN85: Blue (95%)
VAS75: Blue (90%)
VAS79-2: Brown (91%)
WET429: Blue (96%)
Key Observations:
Brown eye probabilities range from 35% to 99%;
Blue eye probabilities range from 78% to 96%;
15 samples have a probability ≥90% for their predicted color;
Sample BUCHA43 has the lowest probability (43% for brown);
Sample SCPG2 has a relatively low probability (35% for brown);
This analysis shows a predominance of brown eyes in the French Iron Age population, with a significant presence of blue eyes. The probabilities are generally high, suggesting good confidence in these predictions for most samples.
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DNAmeter
Source: https://www.pnas.org/doi/10.1073/pnas.2406734121 Analysis of 34 French Iron Age samples reveals: Hair Color Probability Distribution: Brown: 58.8% (20 samples) Blond: 26.5% (9 samples) Red: 2.9% (1 sample) Unspecified: 11.8% (4 samples) Hair Shade…
Skin Color Predictions for French Iron Age Samples
Predicted Skin Color:
Intermediate: 82.4% (28 samples);
Unpredictable: 8.8% (3 samples);
Mixed Intermediate: 5.9% (2 samples);
Dark: 2.9% (1 sample).
Skin Pigmentation:
Intermediate: 85.3% (29 samples), probabilities range from 0.5 to 0.95;
Pale: 14.7% (5 samples), probabilities range from 0.48 to 0.8
Second Skin Pigmentation:
Pale: 82.4% (28 samples), probabilities range from 0.09 to 0.44;
Intermediate: 11.8% (4 samples), probabilities range from 0.30 to 0.40;
Dark: 5.9% (2 samples), probabilities of 0.36 and 0.39
Key Observations:
The majority of samples are predicted with intermediate pigmentation.
There is a strong concordance between the main prediction and the first pigmentation.
The second pigmentation shows a trend towards lighter tones.
Intermediate pigmentation probabilities are generally higher than other categories.
Few isolated cases show predictions of dark or mixed skin.
This analysis suggests that the French Iron Age population mainly had intermediate skin color, with a secondary tendency towards lighter tones. The diversity of predictions indicates some variation within the population.
Predicted Skin Color:
Intermediate: 82.4% (28 samples);
Unpredictable: 8.8% (3 samples);
Mixed Intermediate: 5.9% (2 samples);
Dark: 2.9% (1 sample).
Skin Pigmentation:
Intermediate: 85.3% (29 samples), probabilities range from 0.5 to 0.95;
Pale: 14.7% (5 samples), probabilities range from 0.48 to 0.8
Second Skin Pigmentation:
Pale: 82.4% (28 samples), probabilities range from 0.09 to 0.44;
Intermediate: 11.8% (4 samples), probabilities range from 0.30 to 0.40;
Dark: 5.9% (2 samples), probabilities of 0.36 and 0.39
Key Observations:
The majority of samples are predicted with intermediate pigmentation.
There is a strong concordance between the main prediction and the first pigmentation.
The second pigmentation shows a trend towards lighter tones.
Intermediate pigmentation probabilities are generally higher than other categories.
Few isolated cases show predictions of dark or mixed skin.
This analysis suggests that the French Iron Age population mainly had intermediate skin color, with a secondary tendency towards lighter tones. The diversity of predictions indicates some variation within the population.
https://www.nature.com/articles/s41562-024-01888-7
Hallstatt populations show a greater genetic affinity with modern French, Spanish, and Belgian populations, while medieval populations from southern Germany (Alemannic and Bavarian) are more similar to present-day Danes, Northern Germans, Dutch, and Scandinavians.
These southern German populations are genetically indistinguishable from Iron Age and medieval groups in northern Germany and Scandinavia. This similarity results from a significant genetic influx from these regions, affecting northern and southern Germany differently.
Most modern Germans fall between the Hallstatt and medieval southern German clusters, suggesting a resurgence of ancestors enriched with Early European Farmer (EEF) ancestry, particularly in southern Germany. The Hallstatt gene pool is dominated by R1b-M269 and G2a-P303 lineages. Individuals bearing the G2a-L497 haplogroup show greater southern European ancestry than those with R1b-M269. Modern Germans can be modeled as a tripartite mix between Hallstatt populations, Romans, and a northeastern European source.
Previous studies on Y-chromosome haplogroups of modern Germans have shown a minor Slavic paternal ancestry (~20%) in eastern Germany, indicating that the medieval Slavic expansion into Europe was a demographic event and not merely linguistic.
@illyrianometer
Hallstatt populations show a greater genetic affinity with modern French, Spanish, and Belgian populations, while medieval populations from southern Germany (Alemannic and Bavarian) are more similar to present-day Danes, Northern Germans, Dutch, and Scandinavians.
These southern German populations are genetically indistinguishable from Iron Age and medieval groups in northern Germany and Scandinavia. This similarity results from a significant genetic influx from these regions, affecting northern and southern Germany differently.
Most modern Germans fall between the Hallstatt and medieval southern German clusters, suggesting a resurgence of ancestors enriched with Early European Farmer (EEF) ancestry, particularly in southern Germany. The Hallstatt gene pool is dominated by R1b-M269 and G2a-P303 lineages. Individuals bearing the G2a-L497 haplogroup show greater southern European ancestry than those with R1b-M269. Modern Germans can be modeled as a tripartite mix between Hallstatt populations, Romans, and a northeastern European source.
Previous studies on Y-chromosome haplogroups of modern Germans have shown a minor Slavic paternal ancestry (~20%) in eastern Germany, indicating that the medieval Slavic expansion into Europe was a demographic event and not merely linguistic.
@illyrianometer
Nature
Evidence for dynastic succession among early Celtic elites in Central Europe
Nature Human Behaviour - Gretzinger et al. examine genetic evidence from 31 Iron Age individuals in southern Germany and find that this early Celtic society probably had a dynastic system of...
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🧬 Uzbekistan DNA: A Tapestry of Ancestry
Ancient DNA (qpAdm):
🐎 36.7% Proto-Turkic
🌾 20% Anatolian
🐎 19.9% Steppe Proto-Indo-European
🇮🇷 11.9% Iran Neolithic
🌳 6.1% AASI (Ancient Ancestral South Indians)
🌳 2.9% Tarim Basin
🌳 2.5% Caucasus Hunter-Gatherer
🧬 G25 Breakdown:
46.8% Iranic Avestan
🐎 35.4% Proto-Turk
17.8% South Asian
🤝 Genetically close to Hazara outlier population.
@illyrianometer
Ancient DNA (qpAdm):
🐎 36.7% Proto-Turkic
🌾 20% Anatolian
🐎 19.9% Steppe Proto-Indo-European
🇮🇷 11.9% Iran Neolithic
🌳 6.1% AASI (Ancient Ancestral South Indians)
🌳 2.9% Tarim Basin
🌳 2.5% Caucasus Hunter-Gatherer
🧬 G25 Breakdown:
46.8% Iranic Avestan
🐎 35.4% Proto-Turk
17.8% South Asian
🤝 Genetically close to Hazara outlier population.
🔥10👍3
Deep eurasian breakdown of Uzbeks
Caucasoid=60.4%
Mongoloid=34.4%
Australoid=5.2%
Some people claim there is deliberate attempt to make central asia mixed with south asians?
Read a research paper before making such claims
Unlike preceding Copper Age individuals from Turan, people of the BMAC cluster also harbored an additional 2–5% ancestry related (deeply in time) to Andamanese Hunter-Gatherers (AHG).
It is very simple people who don't read research papers often claim works of other people are part of some nationalist agenda
Source:-
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822619/?fbclid=IwZXh0bgNhZW0CMTEAAR15yrWoGg8Dcy6uXpwBGYBuKxGwkVHR35z4v-dj1fiy7mDcXR1GHNCgApM_aem_t9nyNEZqGM_x4vDnPG6ftA
@illyrianometer
Caucasoid=60.4%
Mongoloid=34.4%
Australoid=5.2%
Some people claim there is deliberate attempt to make central asia mixed with south asians?
Read a research paper before making such claims
Unlike preceding Copper Age individuals from Turan, people of the BMAC cluster also harbored an additional 2–5% ancestry related (deeply in time) to Andamanese Hunter-Gatherers (AHG).
It is very simple people who don't read research papers often claim works of other people are part of some nationalist agenda
Source:-
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822619/?fbclid=IwZXh0bgNhZW0CMTEAAR15yrWoGg8Dcy6uXpwBGYBuKxGwkVHR35z4v-dj1fiy7mDcXR1GHNCgApM_aem_t9nyNEZqGM_x4vDnPG6ftA
Forwarded from Survive the Jive: All-feed
Went to see iron age and bronze age British objects in Bristol museum but they said they weren’t on display anymore. Instead they had this woke rubbish
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