G25 Calculator Ancient DNA Central-Western Europe

The Central-Western Europe Calculator by Oliver:
Disentangling Bell Beaker, Germanic, Hallstatt, and Roman Ancestry

If you have Central or Western European ancestry, you have probably struggled to get meaningful results from generic G25 calculators that blur together populations which are actually historically quite distinct. The Central-Western Europe Calculator by Oliver, available on ExploreYourDNA, was built specifically to address this problem. By anchoring its source populations to carefully chosen ancient DNA references, spanning Bell Beaker, Germanic Iron Age, Hallstatt Celtic, and Roman-era samples, it offers a level of historical resolution that general-purpose tools cannot match.

1. The Historical Layers of Central-Western Europe

Central and Western Europe is genetically one of the most layered regions on earth. The modern populations of France, Germany, the Netherlands, Belgium, and neighbouring countries descend from at least four major ancestral episodes that have left distinguishable, if overlapping, genetic signatures in present-day genomes.

The deepest of these is the Bell Beaker substrate. Between 2500 and 1800 BCE, groups carrying the Bell Beaker package, characterized by a distinctive material culture and high proportions of Steppe-related ancestry, swept across Northwestern Europe. Their descendants formed the ancestral population of both later Celtic-speaking and Germanic-speaking peoples. In the Netherlands and northern France, this founding signal is captured particularly well by the ancient individuals from Valkenburg in the Dutch coastal zone, who represent a pre-linguistic, broadly Bell Beaker Northwestern European ancestral component.

By the Iron Age (circa 800, 50 BCE), a recognizable Germanic cultural and genetic block had emerged in Jutland and the North Sea littoral, distinguishable from the Bell Beaker base by the increasing contribution of Scandinavian Hunter-Gatherer ancestry via the Nordic Bronze Age. Meanwhile, the Hallstatt Celtic world crystallized in central Europe, present-day Austria, Bavaria, and the Rhineland, and later the La Tène expansion spread Celtic culture from the Alps into France, Britain, and Iberia. Finally, Roman military and civilian migration during the first four centuries CE introduced a measurable Southern European, Mediterranean-inflected ancestry into the Rhine-Danube frontier zones and Roman urban centres.

Four Historical Ancestry Layers in Central-Western Europe Bell Beaker 2500, 1800 BCE Netherlands_Valkenburg_IA proxy in this calculator Germanic Iron Age 500, 0 BCE Denmark_Jutland_IA proxy in this calculator Hallstatt Celtic 800, 200 BCE Germany_Hallstatt_IronAge France_SouthEast_IA2 Roman Era 50 BCE, 400 CE Italy_Imperial.SG Austria_MigrationPeriod Modern Central-Western Europeans Dutch • Belgian • French (all regions) • German (all Bundesländer) + Poland_EarlyMedieval_Slavic, captures Eastern European drift signal in eastern German regions

Figure 1: The four principal historical ancestry layers modelled by the Central-Western Europe Calculator, with their ancient DNA proxy populations. The Slavic source (Poland Early Medieval) serves as an additional control for populations with a northeastern genetic gradient.

7
Ancient reference
populations used
as sources
42
Individuals in the
Denmark Jutland IA
reference (n=42)
~2,500
Years of history
captured in a single
admixture run

2. The Calculator Sources: What Each Proxy Represents

The strength of any G25 calculator lies in the choice of its source populations. Oliver's Central-Western Europe Calculator is built around seven ancient DNA reference groups, each carefully selected to represent a distinct historical ancestry layer. Here is what each source captures and why it was chosen.

Netherlands_Valkenburg_IA (n=19)

Iron Age individuals from the Valkenburg site in the Dutch coastal zone. These represent the Bell Beaker-derived substrate of Northwestern Europe: proto-Germanic and proto-Celtic before linguistic and cultural differentiation. Rich in WHG and Steppe ancestry with minimal Scandinavian Hunter-Gatherer signal. The purest available proxy for early Bell Beaker Northwestern European ancestry.

Denmark_Jutland_IA (n=42)

Iron Age individuals from Jutland, the core territory of early Germanic populations. Compared to Valkenburg, these samples carry an elevated Scandinavian Hunter-Gatherer component reflecting the Nordic Bronze Age contribution. This is the key contrast with Valkenburg that allows the calculator to separate Bell Beaker from Germanic ancestry.

Germany_Hallstatt_IronAge (n=28)

Individuals from the Hallstatt culture sites in the German-speaking Alpine zone, the archaeological epicentre of early Celtic civilization. Genetically, they carry a slightly elevated EEF (Early European Farmer) signal relative to purely Bell Beaker populations. Together with France_SouthEast_IA2, this source captures the distinctive continental Celtic ancestry layer.

France_SouthEast_IA2 (n=5)

Iron Age individuals from southeastern France, an area at the crossroads of Hallstatt Celtic influence and early Mediterranean contact. This source contributes to the model's ability to detect the Gaulish Celtic component in southern French populations and helps pull apart Hallstatt ancestry from Roman-era admixture.

Italy_Imperial (n=36)

Imperial-era Roman individuals representing the cosmopolitan genetic profile of Rome during its peak, a mixture of Italian Neolithic farmer ancestry with varying Near Eastern and North African contributions brought by migration within the Empire. This source captures the distinctly southern, Mediterranean-shifted ancestry introduced along Roman military and trade routes.

Austria_MigrationPeriod_Pannonian (n=14)

Individuals from Migration Period (4th, 6th century CE) Pannonia (modern Austria/Hungary), representing the complex genetic legacy of late Roman frontier populations admixed with arriving Germanic groups. Useful for capturing the residual Roman-provincial component in central European populations.

Poland_EarlyMedieval_Slavic (n=45)

Early medieval Slavic individuals from Poland, representing the eastern genetic drift that becomes relevant in eastern German regions (Saxony, Brandenburg, Mecklenburg) through the historically documented Slavic settlement of territories east of the Saale-Elbe line. This source is expected to be minimal or absent in core Western European populations but registers detectably in populations with historical Slavic substrate ancestry.

3. Bell Beaker vs. Germanic: The Calculator's Core Strength

The most important axis this calculator resolves, and the one that general-purpose G25 tools handle most poorly, is the distinction between the original Bell Beaker Northwestern European substrate and the later Germanic Iron Age signal. This separation matters because it allows us to see which parts of a modern individual's genome reflect the pre-linguistic founding population of Northwestern Europe, and which reflect the specifically Germanic character that emerged in Jutland and the North Sea coast during the Bronze and Iron Age.

The key contrast in G25 space between Netherlands_Valkenburg_IA (Bell Beaker proxy) and Denmark_Jutland_IA (Germanic proxy) is subtle but consistent. The Jutland Iron Age individuals carry a higher loading on the PC dimensions that capture Scandinavian Hunter-Gatherer ancestry, the signature of the pre-Indo-European inhabitants of Scandinavia whose ancestry was incorporated into the Germanic gene pool during the Nordic Bronze Age. Valkenburg individuals, being from the Dutch coastal zone, lack this elevated Scandinavian component.

Why this separation works when others fail: Standard G25 admixture calculators that use modern populations (e.g., modern Dutch vs. modern Danish) as sources cannot cleanly separate Bell Beaker from Germanic ancestry, because modern Dutch people themselves carry a significant Germanic layer from millennia of North Sea contact. By going back to ancient DNA, specifically to pre-Roman Iron Age individuals from each zone, Oliver's calculator captures the ancestral signal before it was blurred by later admixture. The Valkenburg samples predate significant Germanic expansion into the Low Countries; the Jutland samples predate the Viking Age contacts that later introduced Scandinavian ancestry into England and France.
Bell Beaker vs. Germanic: Gradient in This Calculator Bell Beaker Germanic Brittany Lower-Normandy Belgian Dutch South Dutch North German NW Schleswig-Holstein Mecklenburg What drives this gradient? • Brittany: highest Valkenburg_IA (Bell Beaker) signal of all modern populations, Atlantic Celtic heritage, minimal Frankish/Germanic overlay • Belgian & Dutch: intermediate, Frankish Germanic settlement added Jutland_IA signal on top of the Bell Beaker base; Dutch North is notably more Germanic than Brittany • Northern German coastal regions (Schleswig-Holstein, Mecklenburg): highest Denmark_Jutland_IA, core proto-Germanic territory since the Iron Age • Southern Germany (Bayern, Baden-W.): Jutland_IA lower, Hallstatt_IA higher, Hallstatt Celtic homeland; different axis entirely Netherlands_Valkenburg_IA Bell Beaker NW Europe substrate Low SHG, pre-Germanic expansion Denmark_Jutland_IA Proto-Germanic Iron Age (n=42) Elevated SHG via Nordic Bronze Age

Figure 2: Corrected gradient from Bell Beaker (Valkenburg-like) to Germanic (Jutland-like) ancestry. Brittany anchors the Bell Beaker end: its Atlantic Celtic heritage has preserved the Valkenburg signal with minimal Frankish overlay. Belgian and Dutch populations are intermediate but already lean Germanic compared to Brittany, reflecting Frankish settlement. Northern German coastal regions (Schleswig-Holstein, Mecklenburg) anchor the Germanic pole, being closest in G25 space to Denmark_Jutland_IA.

This ordering corrects a common intuition: although the Netherlands is geographically close to the Valkenburg source sites, modern Dutch populations, especially Dutch North, score notably more Germanic (Jutland_IA) than Brittany does, because centuries of Frankish, Saxon, and Frisian settlement added a real Germanic ancestry layer on top of the coastal Bell Beaker substrate. Brittany, by contrast, was barely touched by the Frankish expansion that reshaped the Low Countries, and retains the highest Valkenburg_IA signal of any modern population in the dataset. Populations from Schleswig-Holstein and Mecklenburg-Vorpommern, geographically closest to the Jutland source, naturally anchor the Germanic pole.

4. Hallstatt and Roman Ancestry: Separating the Celtic and Mediterranean Layers

Beyond the Bell Beaker/Germanic axis, the calculator's second major strength lies in its ability to distinguish Hallstatt Celtic ancestry from Roman-era Mediterranean admixture, two historically real signals that generic calculators frequently conflate, since both pull individuals slightly southward in standard G25 space.

The Hallstatt Signal

The Hallstatt culture (circa 800, 450 BCE) originated in the eastern Alpine zone and spread Celtic language and culture across a vast arc from the Iberian Peninsula to Anatolia. Genetically, Hallstatt individuals carry a somewhat elevated EEF (Early European Farmer) component compared to purely Bell Beaker Northwestern Europeans, reflecting the deeper south-central European substrate they inherited. This signal becomes important for southern German regions (Bayern, Baden-Württemberg), eastern France (Alsace), and the Rhine-Moselle zone where Hallstatt Celtic culture was most concentrated.

In the calculator, both Germany_Hallstatt_IronAge and France_SouthEast_IA2 capture this component from slightly different angles. The German Hallstatt samples represent the culture's Alpine heartland; the southern French Iron Age samples represent the Gaulish reception of Hallstatt and La Tène Celtic culture in the Rhone corridor, which was also the main gateway for early Greek and Etruscan Mediterranean contact before Roman conquest.

The Roman Signal

Roman conquest brought not just roads and aqueducts but people. The Italy_Imperial source captures the genetically cosmopolitan profile of Roman-era Italy, which already differed from modern Italians by carrying higher Near Eastern ancestry than the modern Italian average, reflecting the Empire's demographic mobility. The Austria_MigrationPeriod_Pannonian source adds a related but distinct late Roman-frontier component. Together, these two sources model the Mediterranean-shifted ancestry that Romans, legionary veterans, traders, and slaves introduced along the Rhine-Danube limes and into provincial urban centres.

Why this separation matters for French and German populations: A region like Alsace may score slightly elevated on both Hallstatt-related and Roman-related sources. These represent genuinely different historical episodes: the Iron Age Celtic substrate (Hallstatt) that already existed before Caesar's campaigns, and the Roman provincial admixture that arrived over the four centuries of Roman Gaul. Conflating them into a single "southern European" signal, as many calculators do, obscures real history. The ability of this calculator to separate them, even partially, is a genuine analytical advance for populations in the Rhine corridor and southern France. Corsica, as an extreme test case, should show by far the highest Italy_Imperial proportion, reflecting its minimal Bell Beaker heritage and deep Mediterranean affiliations.
Schematic: Hallstatt vs. Roman signals across French regions Hallstatt Celtic ancestry (Germany_Hallstatt_IronAge + France_SouthEast_IA2) → Roman ancestry (Italy_Imperial) → Brittany Normandy Nord-PdC Alsace Rhône-Alpes Languedoc PACA Corsica Aquitaine Auvergne Picardy Bell Beaker-dominant (low on both axes) Hallstatt-elevated Roman-elevated

Figure 3: Schematic distribution of French regional populations by their expected Hallstatt Celtic and Roman ancestry signals in this calculator. Atlantic and northern French regions cluster near the Bell Beaker origin (low on both axes), while southern and eastern regions show progressive elevation of Hallstatt Celtic and/or Roman signals. Corsica stands as the clearest outlier, with the highest Roman ancestry. Note: positions are schematic based on historical and genetic expectations, not calculated admixture outputs.

5. PCA: All Populations in G25 Space

The chart below projects all 43 modern populations and 7 ancient reference samples from this calculator onto their first two principal components, derived from a PCA run on the complete set of G25 scaled coordinates. PC1 (60% of variance) is the dominant axis: it separates the Germanic-Scandinavian pole (right, anchored by Denmark_Jutland_IA) from the Southern European and Hallstatt pole (left, anchored by Italy_Imperial). PC2 (13%) separates Atlantic/Celtic populations (top) from Eastern European populations carrying Slavic drift (bottom, anchored by Poland_Early_Medieval_Slavic).

French regions are split into three groups to highlight a distinction that matters for this calculator: northern Atlantic France (Brittany, Lower Normandy, Pays de la Loire) plots visibly further right and upward than Germanic-influenced northern France (Upper Normandy, Picardy, Nord-Pas-de-Calais, Champagne-Ardenne, Alsace, Lorraine), the latter cluster sitting clearly between the Belgian positions and core French territory, reflecting their partial Germanic overlay from Frankish settlement and their geographic proximity to the Low Countries.

Dutch German Belgian France, Atlantic (Brittany / Lower-Normandy / Pays-de-Loire) France, Germanic-influenced North & East France, Interior & South Ancient reference

Figure 4: PCA of all 43 modern populations and 7 ancient references included in this calculator. Computed from G25 scaled coordinates. PC1 (60% variance) runs from Germanic/Bell Beaker (right) to Southern European (left). PC2 (13%) separates Atlantic/Celtic (top) from Slavic-drifted eastern populations (bottom). Hover over any point to see its name.

Several patterns stand out clearly. Dutch North plots almost as far right as the ancient Valkenburg_IA reference, confirming its strong Bell Beaker / proto-Germanic substrate. Brittany, despite being geographically in France, positions clearly to the right and above the Germanic-influenced French group (Upper Normandy, Picardy, Alsace), reflecting its preservation of Atlantic Bell Beaker ancestry with minimal Frankish admixture. The Germanic-influenced northeastern French regions (Alsace, Lorraine, Champagne-Ardenne) cluster between Belgian and core French interior positions, consistent with their documented Frankish and Alemannic settlement history. Finally, Corsica is the most extreme outlier in the entire dataset, sitting far left on PC1 and below the main French cluster, close to Italy_Imperial, a direct confirmation of its Mediterranean, non-Bell Beaker genetic character.

6. Patterns Across Central-Western European Populations

The G25 coordinate data available for the populations in this calculator reveal several coherent geographic and historical patterns worth understanding before you run your own results.

Population Expected dominant source Secondary source Historical interpretation
Dutch North & Central Netherlands_Valkenburg_IA Denmark_Jutland_IA Core Bell Beaker territory; moderate Germanic via Frankish/Frisian settlement
Dutch South Netherlands_Valkenburg_IA Germany_Hallstatt_IronAge Belgic Gaul influence; slightly more Hallstatt Celtic heritage
German North-West Denmark_Jutland_IA Netherlands_Valkenburg_IA Old Saxon territory; transitional between Bell Beaker and Germanic
German North (Schleswig-Holstein, Mecklenburg) Denmark_Jutland_IA Poland_EarlyMedieval_Slavic (minimal) Core Germanic North Sea/Baltic zone; closest to Danish Iron Age source
German South (Bayern, Baden-W.) Germany_Hallstatt_IronAge Denmark_Jutland_IA Hallstatt Celtic heartland; later Germanic settlement; some Roman provincial
Belgian (A/B/C) Netherlands_Valkenburg_IA Germany_Hallstatt_IronAge Belgic tribes mixed Bell Beaker and Hallstatt Celtic; Frankish Germanic overlay
France North, Atlantic
(Brittany, Lower Normandy, Pays de la Loire)
Netherlands_Valkenburg_IA Germany_Hallstatt_IronAge Strongest Bell Beaker signal of all modern populations; Atlantic Celtic heritage largely intact; minimal Frankish overlay; minor Viking Norse in Lower Normandy
France North, Germanic-influenced
(Upper Normandy, Picardy, Nord-Pas-de-Calais, Champagne-Ardenne, Alsace, Lorraine)
Netherlands_Valkenburg_IA + Denmark_Jutland_IA Germany_Hallstatt_IronAge Intermediate between Belgian and Atlantic France; elevated Germanic signal from Frankish settlement (Neustria), Saxon/Norman influx in Upper Normandy, and Alemannic presence in Alsace-Lorraine; plots closer to Belgians than to Brittany in G25 space
France South-East (PACA, Rhone-Alpes) Germany_Hallstatt_IronAge / France_SouthEast_IA2 Italy_Imperial Gaulish Celtic + Roman provincial; Greek colonial influence (Massalia/Marseille)
France Corsica Italy_Imperial France_SouthEast_IA2 Strongly Mediterranean; closest to Italian ancestral profile; outlier within France
German Sachsen / Brandenburg Denmark_Jutland_IA Poland_EarlyMedieval_Slavic Historically Slavic-settled east; Germanized from medieval period; detectable Slavic substrate

Table 1: Expected dominant and secondary source contributions for key Central-Western European populations, based on their G25 coordinates and historical background. Note that these are interpretive expectations; individual results may vary.

A note on Germany's internal diversity: One of the most striking features of the population data for this calculator is the extent to which Germany is not a genetically uniform country. German Bundesländer show a clear north-to-south gradient (Germanic Iron Age to Hallstatt Celtic) and an east-to-west gradient (Slavic substrate signal in eastern states, absent in western ones). A Bavarian, a Saxon, and a Rhinelander may obtain meaningfully different results from this calculator, a reflection of Germany's exceptionally complex settlement history, from the Migration Period through the medieval Ostsiedlung eastward colonization.

7. How to Use the Calculator

Using the Central-Western Europe Calculator is straightforward if you already have your G25 coordinates. Here is a step-by-step guide.

  1. Obtain your G25 coordinates. If you have tested with 23andMe, AncestryDNA, or MyHeritage, you can generate G25 coordinates using the tools available on the ExploreYourDNA Calculators page. You need your scaled G25 coordinates (not the unscaled version).
  2. Open the calculator. Navigate to the Central-Western Europe Calculator by Oliver. The calculator interface runs on Vahaduo, which will open in a linked tab.
  3. Paste your coordinates into the "target" field. Format: YourName,PC1,PC2,...,PC25. Click "Run" (single mode for one individual, multi mode for several).
  4. Interpret your results. You will receive a percentage breakdown across the seven source populations listed above. Focus primarily on the Bell Beaker (Valkenburg), Germanic (Jutland IA), and Hallstatt (Hallstatt IA + France SouthEast IA2) signals. Roman (Italy Imperial + Austria Migration Period) will only be significant for populations with genuine Roman-era ancestry.
  5. Compare against the reference populations below. The G25 coordinates of modern Central-Western European populations provided in Section 7 below can be used as benchmarks: paste them as additional targets to see how your results compare to regional averages.
Interpreting the Slavic source: If you are modeling a purely Western French, Dutch, or western German individual, the Poland_EarlyMedieval_Slavic source should be near zero or absent. If it registers above ~5% in someone with no known Eastern European ancestry, this may reflect either a statistical artifact (the algorithm using Slavic as a proxy to "fill in" part of the fit) or genuine medieval Slavic ancestry from historically Slavicized regions of eastern Germany. As with any G25 admixture tool, treat small percentages (<5%) with caution; focus on the dominant signals.

Try the Calculator Now

Paste your G25 scaled coordinates and explore your Bell Beaker, Germanic, Hallstatt, and Roman ancestry proportions. Free to use, no registration required.

Open the Calculator →

8. G25 Coordinates: Central-Western European Reference Populations

Below are the G25 scaled coordinates for a comprehensive set of Dutch, Belgian, German, and French regional populations. These can be used as reference targets in the calculator to compare your own results against population averages, or loaded into Vahaduo for multi-target runs.

G25 · Dutch Populations · Reference Targets
Dutch_Central,0.1282949286,0.1316561786,0.0581439643,0.0445855357,0.03951275,0.0168429286,0.0064207143,0.0072853571,0.0030386786,7.14285714286041E-008,-0.00612425,0.0033303333,-0.00899925,-0.0085817857,0.0173091786,0.0089781786,-0.002375,0.0009411071,0.0041794286,0.0056320714,0.0032887857,0.0019034286,-0.0004401071,0.0182254643,-0.0003721429 Dutch_North,0.1259641667,0.1309017333,0.0647515667,0.0505818,0.0414230333,0.0182394,0.0065410333,0.0089688333,0.0038722667,-0.0008200667,-0.0073832333,0.0068289667,-0.0089592667,-0.0095096667,0.0176391333,0.0022628667,-0.0133122333,0.0013006333,0.0041731333,0.0011168276,0.0062098,0.0037055,0.0007437,0.0134475667,-0.0010099333 Dutch_South,0.1195142,0.1318158,0.0572468,0.0315894,0.0410538,0.0074742,0.0067682,0.006323,0.0058494,0.0077268,-0.0019162,-0.0008692,-0.0054706,-0.0075416,0.0165308,0.0046406,-0.0097268,0.0019004,0.005958,-0.0015508,0.0027952,0.0026956,-0.0008134,0.0097604,0.0021556
G25 · Belgian Populations · Reference Targets
BelgianA,0.129758,0.140617,0.054506,0.031374,0.038305,0.014131,0.003666,0.005554,0.006804,0.006852,-0.004991,0.005155,-0.011338,-0.005698,0.014794,-0.000672,-0.010831,0.001301,0.002497,-0.000217,0.003552,0.002523,0.000592,0.008073,0.000583 BelgianB,0.128469,0.141091,0.050459,0.028037,0.038633,0.010505,0.003509,0.005,0.00634,0.011517,-0.004136,0.004096,-0.010852,-0.010909,0.012577,0.005012,-0.002156,0.002441,0.001366,0.000275,0.003852,0.003438,-0.000707,0.009303,-0.002203 BelgianC,0.126875,0.142987,0.053249,0.023149,0.040582,0.009501,0.00141,0.004738,0.010826,0.014397,-0.003161,0.006314,-0.012269,-0.009303,0.012034,0.001715,-0.004955,0.001098,0.001592,0.000367,0.002729,0.002844,-0.001142,0.009335,-0.001932
G25 · German Bundesländer · Reference Targets
German_North-West,0.1314385714,0.1352588095,0.0597107143,0.049111381,0.0399048095,0.0192567143,0.0033125238,0.0076699524,0.0030190952,-0.0026988571,-0.0047788095,0.0025976667,-0.0043748571,-0.004089381,0.0124733333,0.0060739048,-0.0040231905,0.001894381,0.0036871905,0.00477095,0.0057160476,0.0017311905,-0.0003930952,0.0111947619,-0.0004675238 German_South,0.1290239355,0.1390619677,0.0515681935,0.0263192903,0.0387267097,0.0101750323,0.0037373548,0.0044439355,0.0050470968,0.0085944839,-0.0040912581,0.0040964,-0.0086510968,-0.0056115161,0.0089530645,0.001556871,-0.0047443226,0.0009278065,0.003848,-0.0004211,0.0026364839,0.0025448387,-0.001979871,0.006530129,0.0004365806 German_West-Central,0.1301086154,0.1385806154,0.0599620769,0.0390581538,0.0408833846,0.0162186154,0.006038,0.0057690769,0.0004403846,0.0035464615,-0.004322,0.0056142308,-0.0090910769,-0.0057483846,0.0083100769,0.0042633077,-0.0014142308,0.0037422308,0.0037711538,0.0044924615,0.0021019231,0.0022921538,0.0037069231,0.0129767692,0.0018791538 German_Baden_Wurttenberg,0.122929,0.137096,0.041106,0.014535,0.031698,0.023148,0.003055,0.011307,-0.000409,0.016766,0.000162,0.006894,-0.006838,-0.0139,0.005293,-0.009812,-0.012908,-0.00152,-0.000251,-0.001501,0.003244,0.010634,-0.004067,0.003615,-0.006227 German_Bayern,0.136588,0.148267,0.070522,0.04199,0.049548,0.01506,-0.00094,-0.001615,0.009613,0.007654,-0.008119,0.001798,0.012339,0.006055,-0.002714,0.012198,0.013169,-0.009375,0.00088,0.001376,0.003369,0.004822,0.007025,0.014098,0.000239 German_Sachsen,0.122929,0.133034,0.064488,0.045543,0.045855,0.01255,0.003055,0.00923,-0.003068,0.003098,-0.012666,-0.004346,-0.004014,0.009634,-0.000407,-0.007292,-0.015125,0.003547,0.009176,-0.005127,-0.009234,-0.003091,-0.008011,-0.00494,0.003712 German_Nordrhein_Westfalen,0.141141,0.144205,0.050157,0.039729,0.038161,0.027331,0.014571,0,-0.005727,0.004009,-0.008444,0.013338,-0.011744,-0.006055,-0.000407,0.00305,-0.002086,0.005194,0.004148,0.003877,0.010232,0.008161,-0.000123,0.016388,0.010777 German_Niedersachsen,0.125205,0.147252,0.065619,0.044574,0.041854,0.006972,0.00752,0.012692,-0.001841,0.000182,-0.000812,0.003747,-0.007136,-0.007019,0.012079,0.018695,0.008996,0.003294,0.001634,0.004252,0.000624,-0.005812,0.011955,0.01446,0.002155 German_Mecklenburg_Vorpommern,0.121791,0.135065,0.070522,0.061047,0.04647,0.026774,0.01081,0.004384,0.012271,-0.01057,-0.008769,-0.004646,-0.002081,0.007432,-0.001764,-0.004773,-0.011213,0.00114,0.001885,-0.009129,0.010482,-0.001731,-0.010846,0.003976,0.011017 German_Franken,0.136588,0.129988,0.055437,0.041667,0.036622,0.015618,-0.002115,0.008538,0.007772,-0.002916,-0.001624,0.004346,-0.004162,-0.005918,0.00855,0.004906,0.009388,-0.000507,-0.002891,0.005878,0.003119,0.002226,0.003204,0.003494,0.000359 German_Rheinland_Pfalz,0.129758,0.135065,0.032055,0.015827,0.045239,0.015897,0.00329,0.009923,0.002454,0.014032,-0.009256,0.009591,-0.005798,0.003991,0.013979,-0.014983,-0.020079,0.010515,0.007416,0,-0.003619,-0.008532,0.008381,0.003133,0.001197 German_Hessen,0.137726,0.147252,0.048649,0.026163,0.025851,-0.003347,-0.00376,0.003923,0.012476,0.018041,0.003573,0.004646,-0.009514,0.003303,0.008415,-0.008884,-0.015907,0.004814,0.007919,-0.005127,0.003619,0.00643,0.002835,0.009158,-0.002155 German_Schleswig_Holstein,0.122929,0.138112,0.070522,0.063631,0.051086,0.021196,0.00188,0.005077,-0.000818,-0.009476,-0.005034,0.003147,0.012636,0.010459,0.016015,0.004508,-0.005607,0.011909,0.001383,-0.001751,0.003619,-0.000618,0.005546,0.015906,0.004431 German_Thuringen,0.136588,0.129988,0.055437,0.041667,0.036622,0.015618,-0.002115,0.008538,0.007772,-0.002916,-0.001624,0.004346,-0.004162,-0.005918,0.00855,0.004906,0.009388,-0.000507,-0.002891,0.005878,0.003119,0.002226,0.003204,0.003494,0.000359 German_Brandenburg,0.134311,0.139128,0.070522,0.050388,0.05201,0.023985,0.003525,0.016153,0.008181,-0.014579,0.002436,-0.009741,0.004608,0.008945,-0.011265,0.009016,0.005867,0.005194,0.004022,-0.001501,-0.002745,0.000618,-0.005546,-0.005181,-0.003832 German_Saarland,0.125205,0.151314,0.061094,0.032623,0.0437,0.02008,0.012456,0.007615,0.015135,0.021504,-0.009419,-0.00015,-0.02111,-0.003991,0.018458,0.010077,-0.009909,0.004181,0.002765,0.004877,0.015348,-0.005317,0.002465,0.003133,-0.001078
G25 · French Regions · Reference Targets
France_Alsace_(N=3),0.1271023,0.1418357,0.051917,0.0162577,0.0377507,0.0143163,0.0038383,-0.0003077,-0.0008867,0.0066213,-0.003681,1e-04,-0.0119423,-0.0057343,0.0086407,-0.001591,-0.0068233,0.0021533,0.0036033,0.003293,0.0067383,0.0023903,-0.0025883,0.007953,-0.002395 France_Aquitaine_(N=2),0.126913,0.146744,0.0546825,0.01938,0.042931,0.0051595,0.0024675,0.002077,0.014419,0.022233,-0.005278,0.0095165,-0.023637,-0.0110095,0.014251,0.000729,-0.006454,0.002914,0.001131,0.0005625,0.003993,0.0001855,0.000801,-0.000542,0.0025745 France_Auvergne_(N=2),0.1291895,0.1497905,0.050534,0.010336,0.043393,0.0082275,0.004465,0.0041535,0.0165665,0.0259685,-0.001137,0.007793,-0.018434,-0.008464,0.0029855,0.002917,-0.001434,0.0020905,0.0043995,-0.0003125,0.003681,-0.0020405,-0.0031425,0.0083745,-0.0035325 France_Brittany_(N=17),0.1310976,0.1364394,0.0606275,0.04142,0.0388126,0.0148468,0.0035112,0.0042759,0.0053176,0.0075039,-0.0054256,0.0051041,-0.0152945,-0.0138998,0.0197514,0.0053894,-0.0060436,0.0012744,0.0020628,0.0034281,0.0044774,0.0037096,-2.89e-05,0.0104053,0.0010777 France_Burgundy_(N=3),0.127482,0.1418353,0.045506,0.0149657,0.039597,0.005299,0.0014883,-0.0002303,0.0146577,0.0222327,-0.0040597,0.0047457,-0.016997,-0.0084407,0.0061527,0.0028287,-0.001521,0.0022803,0.0056563,-0.00346,0.0058233,0.0015663,-0.003533,0.0072297,0.0015967 France_Centre-Val_de_Loire_(N=1),0.120652,0.144205,0.056945,0.019703,0.048932,0.012271,0.003995,0.006923,0.016566,0.02041,-0.002761,0.003297,-0.015312,-0.013762,0.011265,0.006232,-0.005215,-0.006208,0.006913,-0.002876,-0.000624,-0.000495,-0.003451,0.002771,-0.011975 France_Champagne-Ardenne_(N=2),0.1297585,0.1436975,0.0543055,0.0198645,0.036007,0.0122715,0.00235,0.004615,0.0087945,0.0137585,-0.003816,0.004346,-0.0115955,-0.0084635,0.0105865,0.005834,0.0008475,-0.0019635,0.009176,-0.0006875,0.002683,-0.000618,0.001048,0.00964,0.0002395 France_Corsica_(N=1),0.119514,0.151314,0.011314,-0.02907,0.028621,-0.00502,-0.00188,-0.005077,0.012476,0.03827,-0.011205,0.010641,-0.013974,-0.004542,-0.011672,0.002784,0.005867,0.008995,0.007793,-0.012631,0.000499,0.002349,-0.003204,-0.008676,0.001916 France_Franche-Comte_(N=4),0.1240672,0.144713,0.0463857,0.0154232,0.0371608,0.0084363,0.0019388,0.0049038,0.0054198,0.0129842,-0.0040192,0.0047208,-0.0129708,-0.0061585,0.0098738,-0.0046735,-0.0104632,0.0022172,0.0046508,0.0010318,0.0029322,0.002504,0.0010168,0.0071695,-0.000868 France_Languedoc-Roussillon_(N=5),0.1299858,0.1464396,0.044802,0.0060078,0.0390226,0.000223,0.000282,0.0040614,0.0220888,0.0280644,-0.0026306,0.0067738,-0.0143012,-0.0097436,0.010939,-0.0040572,-0.0096222,0.003015,0.000176,-0.0033766,0.006189,0.0028194,-0.001972,-0.001663,0.0015806 France_Limousin_(N=5),0.1263438,0.1474548,0.051213,0.0131784,0.0441312,0.0053546,0.003572,0.0065534,0.0177936,0.0247112,-0.0051312,0.0063544,-0.0130822,-0.0126888,0.0098802,-0.000159,-0.000626,0.0034714,0.0024384,-0.0033768,0.002845,-0.000544,-0.0004682,0.0015424,-0.0008144 France_Lorraine_(N=2),0.123498,0.13862,0.0469515,0.02584,0.034468,0.008785,0.007755,0.0068075,0.0114535,0.0116635,-0.002923,0.0069685,-0.0129335,-0.0119735,0.0139115,0.0108725,-0.0028685,0.0041175,0.004525,-6.25e-05,0.0011855,-0.0007415,-0.004129,0.00964,0.0011975 France_Lower_Normandy_(N=13),0.1289705,0.1410805,0.0568583,0.0318279,0.0408359,0.0112199,0.0015546,0.0045087,0.0092665,0.0099248,-0.0033852,0.0054989,-0.0136425,-0.0105441,0.0151797,0.0018971,-0.0055764,0.0027384,0.0023205,0.0028667,0.0058455,0.0031578,-0.003413,0.0082863,-0.0013542 France_Midi-Pyrenees_(N=4),0.1274819,0.144713,0.0477998,0.0097708,0.0419309,0.0039043,-0.0001763,0.001154,0.0144188,0.026743,-0.0021516,0.0063319,-0.0158694,-0.0123173,0.0030876,0.0085189,0.0126148,-0.002407,0.0003771,-0.0009066,0.0043987,0.0019475,-0.0026496,0.0018377,-0.0045204 France_Nord-Pas-de-Calais_(N=13),0.1266063,0.1395963,0.0531161,0.0295669,0.0394865,0.011692,0.0037058,0.0050235,0.0094867,0.0094762,-0.0027482,0.0055105,-0.0129905,-0.0089031,0.0135093,-0.0013157,-0.0069305,0.0038981,0.0047475,-0.0025302,0.0025148,0.0022066,1.89e-05,0.0081473,-0.000654 France_Pays_de_la_Loire_(N=8),0.1307541,0.137731,0.0558138,0.0322192,0.0437002,0.011295,0.0031431,0.0050478,0.0093569,0.014556,-0.004141,0.0075309,-0.0156839,-0.0113884,0.0146578,0.0062815,-0.0030802,0.0008869,7.85e-05,0.0007346,0.0047105,0.0026739,-0.0016329,0.0035548,-0.0002844 France_Picardy_(N=1),0.129758,0.141159,0.060339,0.030039,0.039084,0.009761,0.00517,0.008077,0.007772,0.009659,-0.003248,0.004346,-0.013379,-0.010046,0.013301,0.007955,-0.003651,-0.00114,0.002891,-0.001501,0.00287,0.012489,-0.004314,0.009881,-0.005029 France_Poitou-Charentes_(N=10),0.1267989,0.146541,0.0501194,0.017442,0.0442543,0.0039044,-0.0014335,0.0033,0.0133758,0.022579,-0.0057647,0.0071036,-0.0137957,-0.0122622,0.0115634,0.0014849,-0.0056848,0.001495,-0.0001382,-0.0002501,0.0023084,0.004736,-0.0019843,0.0050488,-0.0011616 France_Provence-Alpes-Cote_dAzur_(N=1),0.125205,0.141159,0.039975,0.000323,0.0437,-0.004741,0.00611,0.005077,0.011453,0.021504,0.001624,0.008393,-0.015312,-0.007432,0.0057,0.002254,0.002477,0.002407,0.004777,-0.005628,0,0.001978,0.003081,0.000361,-0.004191 France_Rhone-Alpes_(N=6),0.1248259,0.1423434,0.0451917,0.0118433,0.0433412,0.003858,-0.000235,0.0034613,0.0151007,0.0223237,-0.0028147,0.0075182,-0.0126858,-0.0097023,0.0062432,0.0068946,0.0041288,0.001668,0.0021161,-0.000125,0.0015389,0.00507,-0.003574,0.0056634,-0.0006585 France_Upper_Normandy_(N=10),0.1265713,0.1392292,0.0555122,0.034561,0.0406229,0.0131078,0.002115,0.0062535,0.0076695,0.0082554,-0.004011,0.0051254,-0.0093954,-0.008285,0.0170464,0.0051842,-0.0055413,0.0025718,0.0004147,-0.00025,0.0024707,0.001657,-0.0012326,0.0120498,-0.001425

References & Resources

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3. Cassidy, L. M., et al. (2022). A dynastic elite in monumental Neolithic society. Nature, 582, 384, 388. DOI: 10.1038/s41586-020-2378-6
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5. Seguin-Orlando, A., et al. (2021). Heterogeneous Hunter-Gatherer and Steppe-Related Ancestries in Late Neolithic and Bell Beaker Genomes from Present-Day France. Current Biology, 31(5), 1072, 1083. DOI: 10.1016/j.cub.2020.12.015
6. Fernandes, D. M., et al. (2020). The spread of steppe and Iranian-related ancestry in the islands of the western Mediterranean. Nature Ecology & Evolution, 4, 334, 345. DOI: 10.1038/s41559-019-1028-z
7. Freilich, S., et al. (2021). Reconstructing the genetic history of Italians through whole-genome sequencing. Human Genetics, 140, 1543, 1562. DOI: 10.1007/s00439-021-02279-0
8. ExploreYourDNA. Central-Western Europe Calculator (by Oliver). https://www.exploreyourdna.com/calculator/210/central-western-europe-calculator-by-oliver