Genetic evidence for different male and female roles
during cultural transitions in the British Isles
James F. Wilson†‡, Deborah A. Weiss§, Martin Richards†, Mark G. Thomas¶, Neil Bradman¶, and David B. Goldstein†?
†Galton Laboratory, Department of Biology, University College London, Wolfson House, 4 Stephenson Way, London NW1 2HE, United Kingdom;
‡Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, United Kingdom;§Department of Anthropology,
University of California, Davis, CA 95616; and¶The Centre for Genetic Anthropology, Department of Biology, Darwin Building,
University College London, Gower Street, London WC1E 6BT, United Kingdom
Communicated by Henry C. Harpending, University of Utah, Salt Lake City, UT, January 23, 2001 (received for review June 7, 2000)
Human history is punctuated by periods of rapid cultural change.
Although archeologists have developed a range of models to
whether the processes involved the movement of people or the
movement of culture only. With a series of relatively well defined
cultural transitions, the British Isles present an ideal opportunity to
assess the demographic context of cultural change. Important
transitions after the first Paleolithic settlements include the Neo-
lithic, the development of Iron Age cultures, and various historical
invasions from continental Europe. Here we show that patterns of
Y-chromosome variation indicate that the Neolithic and Iron Age
transitions in the British Isles occurred without large-scale male
movements. The more recent invasions from Scandinavia, on the
other hand, appear to have left a significant paternal genetic
legacy. In contrast, patterns of mtDNA and X-chromosome varia-
tion indicate that one or more of these pre-Anglo-Saxon cultural
revolutions had a major effect on the maternal genetic heritage of
the British Isles.
onward (1). Today the pendulum has swung the other way, with
archeologists tending to postulate considerable cultural exchange
such as the establishment of trading networks, with little or no
movement of people (2, 3). It is likely, however, that the extent of
genetic continuity in the face of cultural change has varied from
case to case.
We have utilized a number of genetic marker systems to deter-
mine the genetic legacy of cultural change. Analyses of the nonre-
combining part of the Y chromosome are becoming increasingly
important in uncovering paternal heritage in human evolutionary
studies because of the recent development of a highly informative
combination of different genetic markers (4–6). Slowly evolving
biallelic markers are used to define distinct genealogical groups
[haplogroups (hg)], whereas rapidly evolving microsatellites are
used to distinguish more closely related chromosomes within hap-
logroups. Together, the two sets of markers identify well defined
haplotypes, which have proven powerful tools in identifying rela-
for example, have been suggested as population-specific signatures,
as in the case of a high-frequency haplotype that appears to mark
Jewish populations (7). Here we contrast the pattern observed on
the Y chromosome with that observed by using multiple genetic
systems influenced by female migration (mtDNA and unlinked
X-chromosome systems) to evaluate whether cultural changes in
Identification of genetic changes associated with these tran-
sitions requires that the source populations be distinguished with
respect to some genetic marker. There are numerous candidate
source populations for the British Isles from the pre-Anglo-
Saxon British to the Romans, Anglo-Saxons, Scandinavians, and
Normans. For tractability, we have focused mainly on two, the
pre-Anglo-Saxon British and the Scandinavians. We have
achieved this by concentrating on the Celtic-speaking popula-
successive waves of continental invaders, from Neolithic times
tions and on Orkney, a Northern Scottish archipelago with
Viking and pre-Anglo-Saxon British heritage.
Subjects and Methods
Samples and Genotyping. Buccal swabs were scraped on the inside
of the cheek by each subject and replaced in collection tubes to
which 0.05 M EDTA?0.5% SDS had been added. In all cases,
informed consent was obtained before samples were collected.
Standard phenol?chloroform DNA extractions then were per-
formed. Three Y-chromosome multiplex PCR kits were used as
described (8). The products of each kit were subjected to electro-
phoresis on ABI 377 or ABI 310 automated sequencers and
analyzed by GENESCAN (Applied Biosystems) software. Conver-
sions to repeat lengths were standardized by using control individ-
uals sequenced by P. de Knijff. To assess the reliability of our data,
876 Y-chromosome microsatellite genotypes were retyped blindly;
6 were found to differ, an error rate of 0.7%. The Irish data do not
include DYS388, so this locus was dropped from comparisons
drial control region was amplified and sequenced from nucleotide
positions 16090–16365 (9). Thirty-four X-linked microsatellites
were genotyped by using multiplex PCR kits (10).
Y-Chromosome Hgs. The hg and haplotype cluster designations
(with unique event polymorphism genotypes in the sY81,
SRY4064, YAP, SRY10831, M13, M9, Tat, M20, SRY?465,
92R7, and M17 order, and microsatellite genotypes in the
are as follows: hg 1—AG-GGGTACT?G, not including the
1.15? cluster (in the Basque data, the subclade of hg 1 defined
by a mutation at SRY-2627 was included in hg 1 as we did not
genotype this polymorphism); haplotype cluster 1.15?—hg 1
chromosome with microsatellite genotype 12-13-13-14-24-11
and one-step mutational neighbors (DYS388 was not typed in
the Irish but is almost monomorphic at 12 repeats in hg 1. Only
?3% of the hg 1 chromosomes in this study have different
alleles.); hg 2—AG-GGCTACC?G, not including the 2.47?
cluster; haplotype cluster 2.47?—hg 2 chromosome with mic-
rosatellite alleles 14–13-11–14-22–10 and one-step network; hg
3—AG-AGGTACT-G, not including the 3.65? cluster; haplo-
type cluster 3.65?—hg 3 chromosome with microsatellite
alleles 12-13-11-16-25-11 and one-step network; hg 7—AG-
ACCTACC?G; hg 8—GA?GGCTACC?G; hg 9—hg 2 chro-
mosome with microsatellite haplotypes found only in 12f2
deleted chromosomes (DYS388*14, DYS393*12, DYS392*11,
or 15-12-11, 15-13-11, 17-12-11, or 16-12-11 in the same order);
hg 16—AG-GGGCACC?G; hg 21—AA?GGCTACC?G; hg
Abbreviations: hg, haplogroup; PC, principal component(s); AMH, Atlantic modal
See commentary on page 4830.
?To whom reprint requests should be addressed. E-mail: firstname.lastname@example.org.
The publication costs of this article were defrayed in part by page charge payment. This
article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C.
§1734 solely to indicate this fact.
April 24, 2001 ?
vol. 98 ?
26—AG-GGGTACC?G; and hg 28—AG-GGGTGCC?G. A
tree presenting the genealogical relationships of these hgs (ex-
cept hg 28, which branches from hg 26) is presented in ref. 11.
mtDNA Hgs. Haplotypes were assigned to hgs according to the West
Eurasian mtDNA genealogy (12). hg assignment proceeded by
using the following algorithm (all numbering is according to ref. 13
minus 16,000 in the control region for brevity): 069T 126C 223C
assigned to hg J (note in all but four cases 069 information was
available); 126C 223C 294T assigned to T; 129A 223T 391A
assigned to I (391 information was available); 223T 292T assigned
to W; 189C 223T 278T assigned to X; 223C 224C 311C assigned to
K; 223C 249C and either 189C or 327T assigned to U1; 129C 223C
assigned to U2 (051G, if information available); 223C 343G as-
172C 219G 223C assigned to U6; 223C 318T assigned to U7; 223C
298C assigned to V; 067T 223C assigned to HV1 (067 information
usually available); 126C 223C 362C assigned to preHV; 145A 176G
223T assigned to N1b; 223T 278T 390A assigned to L2; and 187T
189C 223T 278T 311C assigned to L1. For sequences not matching
any of those above, the algorithm used was the following: if 223T,
test for ?10397 AluI (where ? indicates restriction site presence
and ? indicates absence) for M; ?10871 MnlI and ?10397 AluI for
L1, L2, or L3; if 223C, test for ?7025 AluI for H; ?14766 MseI,
?7025 AluI, ?4577 NlaIII for HV*; ?12308 HinfI for U*, other-
wise assign to R*. The first hypervariable section (HVS-1) se-
motifs. Recurrent mutations may cause ambiguities by eliminating
In many cases, the presence of substitutions defining subclades
within the major hgs allowed sequences to be assigned even when
reversion had occurred at an hg motif site. In the case of hybrid
motifs, PCR-restriction fragment length polymorphism (RFLP)
data, HVS-1 sequences matching a unique haplotype in an RFLP-
defined hg were assigned to that hg.
Analysis. Exact tests and analyses of molecular variance were
calculated by using ARLEQUIN (15). Principal components anal-
yses were performed on hg and allele frequencies by using
POPSTR (H. Harpending, personal communication). Population
structure was assessed by using the model-based clustering
method implemented in STRUCTURE (16). The admixture model
was used with a burn-in of 50,000 steps and a run length of 106
steps. All loci within 2 centimorgans of another locus were
excluded from the STRUCTURE analysis, leaving 23 loci.
Results and Discussion
Genetic History of Orkney. When the Norsemen invaded (about
A.D. 800), Orkney was populated by the Picts, little-understood
pre-Anglo-Saxon inhabitants. Orkney remained a Norse colony
while an increasing number of Scottish settlers arrived in the
islands, which were pledged to Scotland in 1468 (17). As the
place-names of Orkney are almost entirely Old Norse in origin
(18) and a Nordic language replaced the earlier tongue, linguists
have assumed that the Viking invaders completely replaced the
native population (19). Modern archeological interpretations,
however, suggest continuities in both artifacts and lifestyle,
which are more compatible with considerable integration be-
tween native Picts and incoming Norsemen (20, 21). To inves-
tigate whether Orkney’s Viking heritage is genetic as well as
cultural, we sampled 71 adult males claiming at least three
unrelated paternal generations in Orkney, and all with surnames
found on the islands before 1700 (22). For comparison, we used
analogous criteria to sample 78, 88, and 94 individuals from
Norway, Anglesey (North Wales), and West Friesland (The
Netherlands), respectively. Data on 146 Irish males with Irish
Gaelic surnames also were included (23).
The Irish and Welsh are not significantly differentiated from
‘‘Celtic.’’ However, Celtic, Frisian, Norwegian, and Orcadian Y
chromosomes are all highly differentiated at the hg level (P ?
0.0001) (Fig. 1 and Table 1). The Orkney sample seems interme-
from the Celtic populations through Orkney to Norway, whereas
hgs 2 and 3 show the opposite trend. With respect to microsatellite
modal haplotype [microsatellite haplotype 15 within hg 1 (haplo-
type 1.15)] has a frequency of 26% in Wales and 18% in Ireland,
and along with its one-mutational-step neighbors (7) constitutes
70% of the Welsh and 44% of the Irish chromosomes [as well as
56% of a Scottish sample (25)]. Frequencies of haplotype 1.15 (and
its neighbors) in Orkney and Norway are 11% (41%) and 6%
Other types are common in Norway and rare in the Celtic
population. Haplotype clusters 1.15?, 2.47?, and 3.65? are within hgs 1, 2,
and 3, respectively.
Wilson et al.
April 24, 2001 ?
vol. 98 ?
no. 9 ?
is a subcluster found at high frequency only in Norway (network
not shown)—haplotype 2.47 and one-step network constitute
38% of the sample. This mini-network, however, also occurs at
a frequency of 16% in the Frisians, who may be similar to an
Anglo-Saxon source population. The appearance of this cluster
in mainland Britain, therefore, could be explained by either
Scandinavian or Anglo-Saxon influence. Another one-step net-
work, within hg 3 (centered on haplotype 3.65), however, is also
but is rare in Friesland [and in The Netherlands (26)]. These
frequency distributions suggest that both haplotypes 2.47 and
3.65 are diagnostic of Viking invaders in parts of Britain in which
the only candidate parental populations are Celtic and Scandi-
navian, such as Orkney. In mainland Britain, however, it seems
that only haplotype 3.65 would distinguish Norse and Anglo-
Correlation Between Y Chromosomes and Surnames in Orkney. Or-
cadian surnames present a second method for identifying mark-
ers of Scandinavian contributions in the British Isles. Orcadian
names can be divided into two classes: indigenous names en-
demic to the islands and those brought to the islands with
Scottish settlers (22). As Y chromosomes cosegregate with
surnames, haplotypes might be expected to reflect this partition
to the extent that Norwegian and Scottish Y-chromosome types
can be distinguished. In fact, the distribution of chromosome
types between the surname classes is significantly different at the
hg (P ? 0.029, Table 1) and the haplotype (P ? 0.035; ref. 24)
levels. Moreover, the putative Norse (2.47, 3.65) and pre-Anglo-
Saxon British (1.15) types clearly are concentrated in the ex-
pected classes (indigenous and Scottish, respectively, data not
shown). This distribution confirms the heavier Viking compo-
nent in the indigenous surname class and the increased pre-
Anglo-Saxon British contribution to the Scottish surname class.
The frequency distribution in the indigenous Orkney chro-
mosomes is consistent with a substantial Scandinavian contri-
bution to the Orcadian Y-chromosome pool. As the Scottish
Orkney surname class is statistically indistinguishable from the
Welsh and Irish (P ? 0.2), it cannot have a significant Norse
component. Considering, therefore, only the indigenous sur-
names, 38% of the Y chromosomes can be identified as Scan-
dinavian in origin (hg 3 and the 2.47 cluster), whereas those in
hg 1 are not of obvious provenance. Thus, the legacy of the
Viking age in Orkney was both cultural and genetic.
Genetic Continuity in the British Isles. Given the similarity of the
Irish and Welsh samples (Table 1), the Y-chromosome distri-
butions shown in Fig. 1 seem to represent the pre-Anglo-Saxon
population of the British Isles and Ireland. If extensive genetic
drift had occurred, there is no reason why these communities
would remain so similar, especially as Wales and Ireland repre-
sent two different branches of the Celtic languages, P-Celtic and
Q-Celtic, respectively. Two extreme possibilities regarding the
demographic nature of early cultural transitions in the British
Isles can be contrasted: (i) demic diffusion models such as the
wave-of-advance model (27) proposed for the arrival of farming
in Europe (2), which predicts considerable genetic discontinuity;
and (ii) cultural diffusion models, which predict genetic conti-
nuity, as they involve little or no movement of people, only the
diffusion of technology. For example, the arrival of a Celtic
material culture including Hallstatt and La Te `ne elite goods and
skills in the late Bronze Age and early Iron Age once was
interpreted as reflecting waves of immigrants but is now usually
explained without invoking folk migrations (3). As with the
Neolithic, however, no solid evidence is available.
Basque Population History. To investigate the degree of paternal
genetic continuity in the British Isles through the Neolithic and
the development of Iron Age cultures, we compared the Welsh
and Irish samples with 50 Basques (28, 29). The Basques are
widely believed to be descended from the Paleolithic inhabitants
of Europe for reasons including the following: (i) Basque is a
non-Indo-European language with some features suggesting a
distant relationship with the North Caucasian language family
(30, 31). (ii) Analyses of classical markers consistently place the
Basques as genetic outliers in Europe. For example, the Basques
have the highest frequency in Europe of the blood group O and
of rhesus cde, which is thought to represent the contribution of
Paleolithic Europeans (32). (iii) An analysis of European
mtDNA estimates the Neolithic component in the Basques to be
the lowest for any region in Europe. Although the criteria used
to identify Near Eastern founder types are somewhat heuristic
and involve many assumptions, the relative number of types in
different European populations should still be informative, and
the Basque component, estimated at 7%, clearly lies outside the
distribution for the rest of Europe, estimated to range between
9% and 21% (33). We also sampled 68 and 72 unrelated, adult
male Anatolian Turks and Syrians, respectively. The former
were representative of the source population for the European
Neolithic and the latter were representative of the Near East
more generally. If the pre-Anglo-Saxon British, therefore, trace
genetically to the European Paleolithic, we might expect a
similarity between the Irish and Welsh Y chromosomes and
those of the Basques.
Basque and Celtic Y Chromosomes. The Y chromosome comple-
ments of Basque- and Celtic-speaking populations are strikingly
similar (Fig. 1). Haplotype 1.15 is also modal in the Basques and
constitutes 41% of the sample, rising to 56% for the cluster of
one-step neighbors. We call this the Atlantic modal haplotype
Table 1. Pairwise comparisons of Y-chromosome hg distributions
Basque WalesIreland Scot OrkFriesland OrkneyNorway Indig OrkTurkey
P values are from a test (24) on R ? C contingency tables analogous to Fisher’s exact test for a 2 ? 2 table.
0.00, P ? 0.001.
www.pnas.org?cgi?doi?10.1073?pnas.071036898 Wilson et al.
of 89–90% of the chromosomes are in hg 1, which contains the
M173-defined Eu18 hg in Semino et al. (34), with the majority of
the remainder in hg 2. The Turkish sample, however, is much more
diverse at the hg level (Fig. 1). The AMH and one-step neighbors
are present (15%) but only one chromosome from this group is
found in the Syrian sample (Fig. 1), and it is absent in India
(unpublished data) and Central Asia (35). There is no evidence,
therefore, that incoming Neolithics or later immigrants originating
in the Near East carried the AMH at frequencies as high as those
characterizing the Atlantic populations.
Other studies have suggested the possibility of a Basque–
Celtic connection, most notably the synthetic maps of Cavalli-
Sforza et al. (32) that show Irish and Basque populations falling
very near one another on the first principal component axis,
which is thought to reflect the spread of Neolithic farmers from
the Near East. The relative proximity of the Basque and Irish on
this axis may therefore reflect the relatively small Neolithic
component in these populations. More recently, Hill et al. (23)
f haplotype XV (36) [which forms a subclade of hg 1 (37)] to
argue that hg 1 in Ireland must be old. We know of no other
study, however, that provides direct evidence of a close rela-
tionship in the paternal heritage of the Basque- and the Celtic-
speaking populations of Britain. In fact, treating Orkney as a
single population, all pairwise comparisons of hg distributions
between the populations included here are significantly different
(Table 1) except for those within the Atlantic group—Welsh,
Irish, and Basques—none of which are distinguishable, showing
that they form a Y-chromosome community with members more
closely related to one another than they are to the other
European populations. Within Orkney, the Scottish surnames
are not distinguishable from the Atlantic group but neither are
they from the Frisians (Table 1), which may reflect an Anglo-
Saxon component in the Scottish incomers. It should be noted
that Basque-Celtic similarity not only implies that Basque- and
Celtic-speaking populations derive from common paternal an-
cestors, but that genetic drift in these communities has not been
sufficiently great to differentiate them.
Analysis of molecular variance was used to apportion Y-
chromosome genetic diversity among individuals within popula-
tions, among populations within groups, and between groups in a
hierarchical manner. When the Atlantic community form one
group and the Frisians and Norwegians form the other, the
between-populations within-groups variance component is lowest
(4.3%) and the between-groups component is highest (12.1%),
consistent with the pattern of differentiation seen in Table 1.
Moving the Basques to the Frisian-Norwegian group almost dou-
bles the between-populations within-groups variance component
(to 8.0%) at the expense of the between-groups component.
Swapping the Irish or Welsh across groups increases the within-
groups component even more (to 10.6% and 12.4%, respectively).
The signal of Basque-Celtic similarity depends to a large
degree on the AMH, which has much higher frequency in these
populations than in other European populations. With one-step
neighbors, the AMH composes only 38% of the Frisian sample
(significantly different, P ? 0.05), consistent with the view that
the Basques are genetically distinguishable from continental
populations generally. As three alleles within this six-locus
haplotype are known to follow a southeast to northwest cline in
Europe (38), it is likely that most other European populations
will have even lower frequencies than the Frisians. Both the
Basque and the Celtic populations show high frequencies of the
AMH. Because the former are generally considered to have
received a very limited input of Near Eastern genes in the
Neolithic, that similarity also suggests that in the British Isles the
Neolithic transition did not entail a major demographic shift.
Accordingly, farming may have spread in Britain more through
cultural transmission than through migration.
Coalescent Times. Genealogical depths in hg 1 were estimated to
in Britain since the Paleolithic. We used the average squared
distance (ASD), which is the average across loci of the squared
difference in the microsatellite repeat numbers between two hap-
lotypes (39, 40). Under the single stepwise mutation model, the
expectation of the ASD calculated between the inferred ancestral
type and all observed haplotypes is equal to the product of the
In hg 1, we designated haplotype 1.15 as ancestral, because it is
modal and has modal alleles at all of its constituent loci as well as
being the haplotype connected to the most other haplotypes in a
network. By using a mutation rate of 1.2 ? 10?3per locus per
generation (41) and a generation time of 27 years, the estimated
coalescent times in the British Isles and the continent are 6,800 and
the populations in the Isles have not undergone extensive drift
during colonization or afterward. However, the confidence inter-
vals on the mutation rate alone (41) widen both estimates to
between ?2,900 and 18,400 years. This uncertainty associated with
the estimated mutation rate is compounded by a likely systematic
bias caused by the misspecification of the mutation model (42).
only by these factors, but also by the variation associated with the
stochastic distribution of mutations through the hg 1 genealogy.
Because we do not know the shape of the hg 1 genealogy, it is
difficult to assess this source of error (43). For these reasons, the
coalescent calculations are consistent with almost any historical
scenario. Unfortunately, it is not possible to calculate coalescence
Beyond their similarity, the lack of variation within the
Atlantic populations is also remarkable. The Basque, Welsh, and
Irish samples have mean microsatellite repeat count variances of
0.39–0.42, less than half that of Turkey (0.92) and much lower
than Friesland, Norway, Syria, and Orkney (0.62–0.72). The
similarity and homogeneity suggest one of two explanations: (i)
preagricultural European Y chromosomes were homogeneous
or (ii) there was a specific connection between the Basques, the
pre-Anglo-Saxon British, and the Irish. With regard to the latter
hypothesis, it is interesting that a northward expansion from a
glacial refugium in Iberia has been postulated from the diffusion
of Magdalenian industries (44) and patterns of Y-chromosome
(34) and mtDNA variation (ref. 45; but see ref. 46). More
detailed investigation of the diversity present in and around
Europe may allow these hypotheses to be distinguished.
Maternal and Biparental Genetic Systems. Given the extraordinary
similarity of the Atlantic Y chromosomes compared with those in
other European populations, it is important to assess whether a
similar pattern is observed in other genomic regions. In particular,
we shall use a comparison of Y chromosome and mtDNA patterns
of variation to evaluate whether cultural change in the British Isles
has affected differentially male and female patterns of movement.
To assess whether any differences are caused by demographic
systems, we also include X-chromosome markers influenced by
both male and female patterns of movement.
Mitochondrial DNA. To investigate whether mtDNA variation
showed the same patterns as the Y-chromosome data, we se-
quenced the first hypervariable section of the control region
(HVS-1) and genotyped coding region variants as necessary to
and compared these with 231 Norwegians (33, 47), 92 Welsh (9),
Wilson et al.
April 24, 2001 ?
vol. 98 ?
no. 9 ?
156 Basques (33, 48), 101 Irish (33), 218 Turks (33), and 69 Syrians
more quickly evolving control-region sites define haplotypes within
similar (9, 49). Turkey and Syria, however, are distinct with much
lower frequencies of the most common European hg (H) and large
proportions of hgs not present or extremely rare in the European
samples. The lack of structure is also evident at the haplotype level
of resolution; analysis of molecular variance apportions 99% of the
variance in our European populations between individuals within
populations, regardless of the grouping scheme.
Principal Components (PC) Analysis. PC analyses were performed
on both Y chromosome and mtDNA hg frequencies (Fig. 2). In
each case, the first PC (explaining 65% and 54% of the variation,
respectively) depicts a general East–West population gradient; a
pattern usually interpreted as indicating the Neolithic compo-
nent (32, 50). In line with this interpretation, the poles of the first
PC of both systems are defined on the one hand by the Basques,
and on the other by Turkey and Syria. As may be expected, in the
Y-chromosome plot, the Celtic-speaking populations fall ex-
tremely close to the Basques, and Orkney falls midway between
the Atlantic cluster and Norway. This pattern is in sharp contrast
to that for mtDNA, in which the Celtic-speaking populations are
closer to the center of the plot, indicating that they have
undergone more female-mediated gene flow from other Euro-
must have involved a demic component on the female side. The
similarity of the non-Basque European populations means that
there is no power to apportion the Orcadian maternal heritage
into Scandinavian and pre-Anglo-Saxon British components by
using the available mtDNA data.
X-Chromosome Microsatellites. To assess which of the two unipa-
rentally inherited genetic systems more closely reflects the
history of the genome more widely and to check that the lack of
differentiation among the British and non-Basque European
populations is not caused by a lack of resolution in the mtDNA
data, we analyzed microsatellites on the X chromosome. Al-
though having far less genealogical information at each genetic
locus than is available for completely linked systems such as
mtDNA and the Y chromosome, multilocus genotypes are
Thirty-four dinucleotide markers located across the length of the
X chromosome were genotyped in the Basques, Norwegians,
Welsh, and Turks. Population structure was assessed by using a
model-based clustering approach implemented in the STRUC-
TURE program (16). Briefly, the model assumes K populations,
each characterized by a set of allele frequencies at each locus,
and individuals are assigned to these populations on the basis of
their genotypes. We estimated Pr(X?K), where X is the data, for
prior on K between 1 and 4, we can then approximate the
posterior distribution, Pr(K?X). For the Basque, Welsh, Norwe-
gian, and Turkish data, all of the posterior probability is on K ?
1, i.e., there is no detectable genetic structure.
However, when we performed a PC analysis on the allele
frequencies at these 34 X-linked microsatellites, we observed a
pattern essentially identical to that seen for mtDNA (Fig. 2).
Once more, the Basques and Turks occupy opposite poles of PC1
and the Welsh and Norwegians fall in the center of the plot.
Despite there being no statistical support for genetic structuring
in the X-microsatellite data considered on their own, the simi-
larity of the patterns observed across different genetic systems
provides robust evidence that the Basques are differentiated
from the other European populations, specifically in having a
lower input from the Near East.
Female-mediated gene flow between the Celtic-speaking pop-
ulations and other North European populations has thus ho-
mogenized the variation, not only for mtDNA but also for other
parts of the genome affected by female migration. There are two
extreme scenarios that could account for the sharp differences
observed between the genetic systems that are and that are not
(Y chromosome) affected by female movement (mtDNA, X
chromosome, and the Y chromosome, respectively). First, the
pre-Anglo-Saxon British source populations may have been
different from the current European population for the Y
chromosome but less so for other regions of the genome. This
explanation is inconsistent with the position of the Basques,
however, which is distinctive for both the Y chromosome and the
systems affected by female migration. The second explanation is
that the European Paleolithic populations were originally dis-
(Middle), and X microsatellite (Bottom) allele frequency distributions. All Y
hgs were included while the following common European mtDNA hgs were
included: H, V, J, T, I, W, X, U3, U4, U5, and K. In the Y-chromosome data, the
and 15%, and 46% and 33%, respectively.
www.pnas.org?cgi?doi?10.1073?pnas.071036898Wilson et al.
tinct from the current European population for both the Y Download full-text
chromosome and other parts of the genome, but this distinc-
tiveness was eroded subsequently by female movements between
the Celtic-speaking and non-Basque European populations. In
other words, at least one of the Neolithic or Iron Age cultural
Population parameters such as estimates of divergence times
inferred from one-locus systems always have a high variance,
because information is only incorporated from one realization of
the evolutionary process. Certain evolutionary questions, how-
ever, are less subject to this source of variation and can be
addressed profitably with only a single genetic locus. For exam-
ple, identification of related lineages in different populations
could be taken as secure evidence of some kind of connection
between the populations such as gene flow or common ancestry,
even though genetic drift at a single locus would make it
impossible to estimate accurately parameters reflecting the
quantitative relationship (e.g., migration rate or population-
separation time). Despite these problems, in cases where female
migrations have homogenized the variation in other parts of the
genome, the Y chromosome may be the only signal of certain
In summary, we have identified markers of paternal Scandina-
of Orkney involved substantial genetic as well as cultural replace-
ment. Accepting the widely held view that the Basques are repre-
sentative of pre-Neolithic European Y chromosomes (32), we have
also shown that Neolithic, Iron Age, and subsequent cultural
Celtic-speaking populations (there has been continuity from the
Upper Paleolithic to the present). However, comparison with
mtDNA and X-linked microsatellites reveals that at least one of
these cultural revolutions had a major effect on the maternal
genetic heritage of the Celtic-speaking populations.
Note Added in Proof. Basque, Welsh, Norwegian, and Orcadian hg 1
chromosomes also were genotyped at DYS194469 and 25?25, 72?75,
18?20, and 45?46, respectively, carried the derived A allele [i.e., were hg
1L in the nomenclature of Hammer et al. (52)].
R. Jager for collecting samples; J. Betranpetit for the Basque DNA; and E.
Hill, D. Bradley, C. Tyler-Smith, L. L. Cavalli-Sforza, M. Jobling, T. Zerjal,
and F. Calafell for access to unpublished results and useful discussions.
1. Hawkes, C. (1931) Antiquity 5, 60–97.
2. Renfrew, C. (1987) Archaeology and Language (Penguin, London).
3. Cunliffe, B. (1997) The Ancient Celts (Oxford Univ. Press, Oxford).
4. Jobling, M. A. & Tyler-Smith, C. (1995) Trends Genet. 11, 449–456.
5. Zerjal, T., Dashnyam, B., Pandya, A., Kayser, M., Roewer, L., Santos, F. R.,
Schiefenhovel, W., Fretwell, N., Jobling, M. A., Harihara, S., et al. (1997) Am. J.
Hum. Genet. 60, 1174–1183.
6. Karafet, T. M., Zegura, S. L., Posukh, O., Osipova, L., Bergen, A., Long, J.,
Goldman, D., Klitz, W., Harihara, S., de Knijff, P., et al. (1999) Am. J. Hum.
Genet. 64, 817–831.
7. Thomas, M. G., Skorecki, K., Ben-Ami, H., Parfitt, T., Bradman, N. &
Goldstein, D. B. (1998) Nature (London) 394, 138–140.
8. Thomas, M. G., Bradman, N. & Flinn, H. M. (1999) Hum. Genet. 105, 577–581.
9. Richards, M., Corte-Real, H., Forster, P., Macaulay, V., Wilkinson-Herbots,
H., Demaine, A., Papiha, S., Hedges, R., Bandelt, H. J. & Sykes, B. (1996)
Am. J. Hum. Genet. 59, 185–203.
10. Wilson, J. F. & Goldstein, D. B. (2000) Am. J. Hum. Genet. 67, 926–935.
11. Zerjal, T., Pandya, A., Santos, F. R., Adhikari, R., Tarazona, E., Kayser, M.,
Evgrafov, O., Singh, L., Thangaraj, K., Destro-Bisol, G., et al. (1999) in
Genomic Diversity: Applications in Human Population Genetics, eds. Papiha,
S. S. & Deka, R. (Plenum, New York), pp. 91–102.
12. Macaulay, V., Richards, M., Hickey, E., Vega, E., Cruciani, F., Guida, V.,
Scozzari, R., Bonne-Tamir, B., Sykes, B. & Torroni, A. (1999) Am. J. Hum.
Genet. 64, 232–249.
13. Anderson, S., Bankier, A. T., Barrell, B. G., de Bruijn, M. H., Coulson, A. R.,
Drouin, J., Eperon, I. C., Nierlich, D. P., Roe, B. A., Sanger, F., et al. (1981)
Nature (London) 290, 457–465.
14. Torroni, A., Huoponen, K., Francalacci, P., Petrozzi, M., Morelli, L., Scozzari, R.,
Obinu, D., Savontaus, M. L. & Wallace, D. C. (1996) Genetics 144, 1835–1850.
15. Schneider, S., Kueffer, J.-M., Roessli, D. & Excoffier, L. (1997) ARLEQUIN, A
Population Genetic Data Analysis Program (Genetics and Biometry Labora-
tory, Univ. of Geneva, Switzerland).
16. Pritchard, J. K., Stephens, M. & Donnelly, P. (2000) Genetics 155, 945–959.
17. Thomson, W. P. L. (1986) in The People of Orkney, eds. Berry, R. J. & Firth,
H. N. (Orkney Press, Kirkwall), pp. 209–224.
18. Lamb, G. (1993) Testimony of the Orkneyingar (Byrgisey, Kirkwall).
19. Barnes, M. P. (1998) The Norn Language of Orkney and Shetland (Shetland
20. Ritchie, A. (1993) Viking Scotland (Historic Scotland, London).
21. Morris, C. D. (1990) in The Prehistory of Orkney, ed. Renfrew, C. (Edinburgh
Univ. Press, Edinburgh), pp. 210–242.
22. Lamb, G. (1981) Orkney Surnames (Paul Harris, Edinburgh).
23. Hill, E. W., Jobling, M. A. & Bradley, D. G. (2000) Nature (London) 404, 351–352.
24. Raymond, M. & Rousset, F. (1995) Evolution 49, 1280–1283.
25. Helgason, A., Sigureth ardottir, S., Nicholson, J., Sykes, B., Hill, E. W., Bradley,
Genet. 67, 697–717.
26. de Knijff, P. (2000) Am. J. Hum. Genet. 67, 1055–1061.
27. Ammerman, A. & Cavalli-Sforza, L. (1984) The Neolithic Transition and the
Genetics of Populations in Europe (Princeton Univ. Press, Princeton).
28. Perez-Lezaun, A., Calafell, F., Seielstad, M., Mateu, E., Comas, D., Bosch, E.
& Bertranpetit, J. (1997) J. Mol. Evol. 45, 265–270.
29. Bosch, E., Calafell, F., Santos, F., Perez-Lezaun, A., Comas, D., Benchemsi, N.,
Tyler-Smith, C. & Bertranpetit, J. (1999) Am. J. Hum. Gen. 65, 1623–1638.
30. Gamkrelidze, T. & Ivanov, V. (1990) Sci. Am. 262 (March), 110–116.
31. Bengtson, J. D. (1991) in Sino-Caucasian Languages, ed. Shevoroshkin, V.
(Brockmeyer, Bochum, Germany), pp. 67–172.
32. Cavalli-Sforza, L. L., Menozzi, P. & Piazza, A. (1994) The History and
Geography of Human Genes (Princeton Univ. Press, Princeton).
33. Richards, M., Macaulay, V., Hickey, E., Vega, E., Sykes, B., Guida, V., Rengo,
C., Sellitto, D., Cruciani, F., Kivisild, T., et al. (2000) Am. J. Hum. Genet. 67,
34. Semino, O., Passarino, G., Oefner, P. J., Lin, A. A., Arbuzova, S., Beckman,
L. E., De Benedictis, G., Francalacci, P., Kouvatsi, A., Limborska, S., et al.
(2000) Science 290, 1155–1159.
35. Perez-Lezaun, A., Calafell, F., Comas, D., Mateu, E., Bosch, E., Martinez-
Arias, R., Clarimon, J., Fiori, G., Luiselli, D., Facchini, F. et al. (1999) Am. J.
Hum. Genet. 65, 208–219.
36. Semino, O., Passarino, G., Brega, A., Fellous, M. & Santachiara-Benerecetti,
A. S. (1996) Am. J. Hum. Genet. 59, 964–968.
37. Jobling, M. A. (1994) Hum. Mol. Genet. 3, 107–114.
38. Quintana-Murci, L., Semino, O., Minch, E., Passarimo, G., Brega, A. &
Santachiara-Benerecetti, A. S. (1999) Eur. J. Hum. Genet. 7, 603–608.
39. Slatkin, M. (1995) Genetics 139, 457–462.
40. Goldstein, D. B. & Pollock, D. D. (1997) J. Hered. 88, 335–342.
41. Bianchi, N. O., Catanesi, C. I., Bailliet, G., Martinez-Marignac, V. L., Bravi,
C. M., Vidal-Rioja, L. B., Herrera, R. J. & Lopez-Camelo, J. S. (1998) Am. J.
Hum. Genet. 63, 1862–1871.
42. Goldstein, D. B., Zerjal, T., Wilson, J. F., Pandya, A., Santos, F. R., Thomas,
M. G., Bradman, N. & Tyler-Smith, C., Genetics, in press.
43. Goldstein, D. B., Reich, D. E., Bradman, N., Usher, S., Seligsohn, U. & Peretz,
H. (1999) Am. J. Hum. Genet. 64, 1071–1075.
Hyman, London), Vol. 1, pp. 54–68.
45. Torroni, A., Bandelt, H. J., D’Urbano, L., Lahermo, P., Moral, P., Sellitto, D.,
Am. J. Hum. Genet. 62, 1137–1152.
46. Simoni, L., Calafell, F., Pettener, D., Bertranpetit, J. & Barbujani, G. (2000)
Am. J. Hum. Genet. 66, 262–278.
47. Opdal, S. H., Rognum, T. O., Vege, A., Stave, A. K., Dupuy, B. M. & Egeland,
T. (1998) Acta Paediatr. Scand. 87, 1039–1044.
48. Bertranpetit, J., Sala, J., Calafell, F., Underhill, P. A., Moral, P. & Comas, D.
(1995) Ann. Hum. Genet 59, 63–81.
49. Pult, I., Sajantila, A., Simanainen, J., Georgiev, O., Schaffner, W. & Pa ¨a ¨bo, S.
(1994) Biol. Chem. Hoppe-Seyler 375, 837–840.
50. Cavalli-Sforza, L. L. & Minch, E. (1997) Am. J. Hum. Genet. 61, 247–254.
51. Goldstein, D. B., Roemer, G. W., Smith, D. A., Reich, D. E., Bergman, A. &
Wayne, R. K. (1999) Genetics 151, 797–801.
T., Santachiara-Benerecetti, S., Oppenheim, A., Jobling, M. A., Jenkins, T., et
al. (2000) Proc. Natl. Acad. Sci. USA 97, 6769–6774 (First Published May 9,
Wilson et al.
April 24, 2001 ?
vol. 98 ?
no. 9 ?