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Am J Hum Genet. 2007 Sep; 81(3): 615–625.
Published online 2007 Aug 7. doi:  10.1086/520705
PMCID: PMC1950831

Evidence of Still-Ongoing Convergence Evolution of the Lactase Persistence T-13910 Alleles in Humans


A single-nucleotide variant, C/T-13910, located 14 kb upstream of the lactase gene (LCT), has been shown to be completely correlated with lactase persistence (LP) in northern Europeans. Here, we analyzed the background of the alleles carrying the critical variant in 1,611 DNA samples from 37 populations. Our data show that the T-13910 variant is found on two different, highly divergent haplotype backgrounds in the global populations. The first is the most common LP haplotype (LP H98) present in all populations analyzed, whereas the others (LP H8–H12), which originate from the same ancestral allelic haplotype, are found in geographically restricted populations living west of the Urals and north of the Caucasus. The global distribution pattern of LP T-13910 H98 supports the Caucasian origin of this allele. Age estimates based on different mathematical models show that the common LP T-13910 H98 allele (∼5,000–12,000 years old) is relatively older than the other geographically restricted LP alleles (∼1,400–3,000 years old). Our data about global allelic haplotypes of the lactose-tolerance variant imply that the T-13910 allele has been independently introduced more than once and that there is a still-ongoing process of convergent evolution of the LP alleles in humans.

The expression of the lactase enzyme (MIM 603202) in intestinal cells dramatically declines after weaning in mammals, when lactose is no longer an essential part of their diet.1 In humans, this normal mammalian condition known as “lactase nonpersistence” (LNP, also known as “adult-type hypolactasia” or “lactose intolerance” [MIM 223100]) affects most of mankind and restricts the consumption of fresh milk among adults. However, among northern Europeans and a few other ethnic populations, intestinal lactase activity persists throughout life in a substantial proportion (up to 80%–90%) of adults, a condition known as lactase persistence (LP, or lactose tolerance [MIM 223100]). The LP/LNP phenotype is genetically determined, with LP being dominant over LNP.2 We previously identified a single-nucleotide variant, C/T-13910, completely correlating with the phenotype in Finns and in a cross-sectional sample of >600 individuals from five populations.35 The T-13910 variant, which correlates with LP, is located 14 kb upstream of the LCT gene and has been shown to be the derived variant, compared with the C-13910 variant that represents the ancestral form of the human genome. Another variant, G/A-22018, farther upstream of LCT, was also strongly, although not completely, associated with the LP/LNP phenotype,3,5 most likely because of the substantial linkage disequilibrium (LD) in this genome region.3,69

Functional evidence for the C/T-13910 variant in the regulation of lactase activity has since emerged, lending additional support for this nucleotide change as the true causative variant of regulation of transcription of the lactase gene in intestinal cells.4,10,11 Adult individuals with the LP T-13910 allele show significantly higher steady-state transcript levels of LCT in their intestinal mucosa when compared with individuals with the nonpersistence C-13910 allele, which implies a transcriptional regulation of LCT.4 This is in agreement with in vitro studies demonstrating a distinct increase in the LCT promoter activity in cells transfected with the T-13910 variant.1012 Haplotype analysis in the Finnish families demonstrated that all LP alleles among Finns originated from one common ancestor identical by descent.3 Other studies of additional European populations have also suggested the existence of one major allelic haplotype, named “haplotype A,” correlating with LP.7,13 These data indicate a single global origin for the LP T-13910 allele. In this study, we monitored the global frequencies of the LP T-13910 allele and allelic haplotype signatures of the ∼30-kb LCT locus in diverse global populations, to study the allelic background of LP in humans.

We genotyped eight SNPs and one indel polymorphism (GenBank accession number DQ109677) covering ∼30 kb of the LCT region and flanking the two LCT variants, C/T-13910 and G/A-22018, associated with LP/LNP (coverage rate of one SNP per 3.3 kb) in 1,611 samples from 37 global populations (fig. 1 and table 1). Except for the two SNPs C/T-13910 and G/A-22018, the genotyped SNPs represent common variants in all populations, with minor-allele frequencies >7% (table 2). Although this approach might not identify some rare allelic variants, especially among the LNP alleles, the most robust pattern of diversity among LP alleles—the target of our interest—will be identified in the global samples.

Figure  1.
The physical map showing the analyzed genome region flanking the C/T-13910 and G/A-22018 variants associated with LP. The distance (in kb) from the first ATG of LCT is shown. A, Genes in the region studied. B, Expanded map of the 30-kb region in the ...
Table 1.
SNPs Analyzed in the DNA Samples from 37 Populations[Note]
Table 2.
SNP Frequencies Analyzed in 37 Population Samples[Note]

The frequency of the LP T-13910 allele in various populations was systematically correlated with the reported prevalence of LP determined elsewhere by disaccharidase activities in intestinal biopsy samples and/or lactose-tolerance tests in these populations (fig. 2 and table 3).1,2,1417 Among the 37 populations studied (fig. 3), we identified 21 populations for which the prevalence of the LP trait was known and could establish a strong correlation (coefficient of correlation r=0.973, P<.0001) with the frequency of the T-13910 allele (fig. 2). The allele frequencies of the analyzed markers are shown in table 2, and the complete list of all observed haplotypes constructed using all nine markers with the Arlequin program18 are provided in table 4. We restricted further analysis to those haplotypes with population frequency >4% in at least one of the populations, as inferred by the Arlequin program, to avoid misleading conclusions based on rare haplotypes, which could represent artifacts of the algorithm used for the construction of the haplotypes (table 5). We identified 9 different haplotypes (H8, H9, H11, H12, H48, H49, H95, H97, and H98) with alleles carrying the T-13910 LP variant and 14 haplotypes (H1, H2, H4, H27, H34, H46, H51, H52, H54, H55, H81, H82, H84, and H87) with alleles carrying the C-13910 LNP variant (table 5). Comparison of the resulting haplotypes with the haplotypes estimated by the maximum-likelihood algorithm implemented in the PHASE program v2.1 did not reveal discrepancies (data not shown).

Figure  2.
Correlation between the frequency of the LP trait, as measured by lactose-tolerance tests and/or disaccharidase activities, and the frequency of LP, as predicted by the frequency of the C/T-13910 allele with the assumption of Hardy-Weinberg equilibrium ...
Figure  3.
Population frequencies for the T-13910 allele associated with LP in worldwide populations. For each population, the pie chart denotes the frequency of the T-13910 allele (green shading). Populations and frequency details are shown in table 3.
Table 3.
Population Frequencies of LP Alleles C/T-1391
Table 4.
The Complete List of the 30-kb Haplotype Frequencies in 37 Populations[Note]
Table 5.
A List of the Population Haplotype Frequencies Depicted in the MJ Network of Figure 4[Note]

One of the nine haplotypes (H98) distinctly dominated in LP alleles in most study populations, with only a few exceptions: in populations of Udmurts, Erzas, and Mokshas, five other LP haplotypes (H8–H12) were observed at the reasonable frequency (table 5). Among these “other” LP alleles, the frequency of H8 was highest (5%) among Erzas, whereas H11 was present at the frequency of 11% and 7% among Mokshas and Udmurts, respectively (table 5). Of the 14 identified LNP haplotypes listed in table 5, 3 were found to be present in all populations (H1, H2, and H84). Interestingly, when we monitored the structure of these global LCT alleles, we saw that the major LP H98 allele diverges the most from the major LNP H1 allele; these two haplotypes differ at every SNP. Another common LNP H84 allele differs from the major LP H98 allele only at the positions of the two critical variants (C/T-13910 and G/A-22018) that correlate with LP (table 5). Thus, two common LNP alleles in H1 and H84 show a highly divergent allelic background, and the frequencies of intervening haplotypes between them are low, which are most probably lost because of recombinations and/or genetic drift (table 5). The sequence identity between H84 (LNP) and H98 (LP) not only covers the 30-kb region thoroughly analyzed in all populations but actually spans 700 kb in some tested populations (e.g., Finns; data not shown), underlining their close relationship in the evolution.

To explore the relationship between different haplotypes of the LCT alleles, we constructed a median-joining (MJ) haplotype network of the 30-kb LCT region in the global samples, using a total of 23 haplotypes showing frequency >4% in at least one population. The network was constructed using the NETWORK software under the default parameters. The population frequencies of the relevant haplotypes are shown in figure 4. Comparisons with primate (i.e., chimpanzee, orangutan, gorilla, and rhesus monkey) sequences revealed that H1 represents the ancestral haplotype for the human LCT gene; therefore, it was used as the rooted haplotype in the MJ network (fig. 4). The MJ haplotype network further exposes two distinct clusters of LP haplotypes carrying the T-13910 variant. These clusters are separated by more than five mutational steps (fig. 4). The first cluster of LP haplotypes consists of H8, H9, H11, and H12, and the second cluster consists of H48, H49, H95, H97, and H98, of which LP H98 is the most common among all populations tested (fig. 4). The first cluster (H8–H12), which is relatively common among the populations of Udmurts, Mokshas, Erzas, and Iranians, cannot represent an outcome of simple recombination events among the common LNP haplotypes H1, H2, H4, and H84 and the major LP allele H98. This observation could reflect multiple recombination events in history or could actually report two different origins of the LP T-13910 allele in the populations living north of the Caucasus and west of the Urals, which we consider the most probable option.

Figure  4.
MJ haplotype network for eight SNPs and one indel marker in the 30-kb LCT region among 37 populations, constructed using NETWORK version The analysis includes all haplotypes with an estimated population frequency >4% in at least one population. ...

The haplotype network also shows that the two haplotypes representing different phenotypes, LNP H87 and LP H95, are both connected to LP H98. We wanted to assess the possibility that these haplotypes represent recombinants, by genotyping 14 of 19 individuals carrying H87 for more-distant flanking markers. This analysis revealed one major haplotype block covering >800 kb flanking C/T-13910 (data not shown). Further, we sequenced the entire 3,435-bp region of intron 13 of the MCM6 gene (where C/T-13910 resides) of the H87 haplotype and established that the SNPs flanking the C-13910 allele in H87 are all part of the same 800-kb haplotype block. Thus, we were not able to obtain any evidence that the C-13910 allele of H87 was generated by a recombination event, and we concluded that H87 represents the allelic background on which LP T-13910 occurred, resulting in LP H98. For H95, in three of the six individuals genotyped for more-distant flanking SNP markers, the haplotype is broken at 450 kb, 3′ of C/T-13910 (data not shown), and we were not able to obtain any evidence that H95 was generated by a recombination event from other haplotypes (H84 and H98). This prompted us to assume a different origin for LP T-13910 on H95 than for the mutation on H98, which implies that the origin of LP T-13910 has occurred more than once in recent human history.

The MJ network suggested that the common ancestral LNP haplotype background on which the major LP H98 variants occurred was LNP H84. Therefore, we monitored the prevalence pattern of the common LNP H84 haplotype in our samples from global populations, to assess the distribution of this allele, which might help in the elucidation of the historical origin of LP H98. A high prevalence of H84 is characteristic to the eastern part of the Ural Mountains, among Ob-Ugric speakers, where the prevalence reaches as high as 33%. The high prevalence of H84 extends east to the populations totally lacking the LP mutation, like Han Chinese (36%) (table 5). The high population frequency of this particular allele can be seen also in South Korea, where H46, the haplotype deviating from H84 by one mutational step, can be observed at 22% frequency (table 5 and fig. 4). Among the populations living west of the Urals on the European side of Russia (e.g., Komi and Udmurts), as well as among Saami, the frequencies of this haplotype are 33%–35%. These prevalence figures imply that the ancestral H84 allele, the target of the most common LP H98 mutation(s), originates from Asian populations. On the basis of population frequencies, we can actually monitor the western migration of this allele. We recognize that this interpretation could be reversed if the common LNP H84 arose via a gene-conversion event from the common LP H98 and not vice versa. We consider this unlikely, given the relatively recent age of LP H98 and the fact that the common LNP H84 haplotype was found in all 37 populations, which indicates introduction into global populations earlier than predicted for LP H98.

We also monitored the prevalence pattern of the less common LNP H87 haplotype that, on the basis of the MJ network, represents the immediate allelic haplotype on which the LP H98 mutation occurred. The highest frequencies of H87 alleles were observed among Daghestan Nogais (8%) and Hazara (7%). This allele was detected in Daghestan Nogais, Hazara, Baluch, Sindi, Brahui, Makrani Baluch, Iranians, Basques, individuals from Utah, and Finns (eastern region). From this distribution of H87, we were able to propose that the ancestral population in which the LP T-13910 H98 mutation occurred is of Caucasian origin.

We recognize the role of selection in shaping the present-day frequencies of LP alleles2,9,13,14,16,17,19 and other demographic processes such as genetic drift, which could have a major effect on the frequencies in some populations and could result in a biased interpretation of the global history of the LP trait. For example, the wide LD interval providing a strong signal for selection of the LCT region could interfere with our interpretation based on the population frequencies.9,20,21 Although MJ networks can be used to analyze large data sets and multistate characters, we recognize that the algorithm on which the MJ haplotype network construction is based requires a recombination-free region, such as the mtDNA region.22 We tried to minimize the recombination events in the critical LCT region and analyzed the variants in a very restricted DNA region (30 kb); we used only haplotypes that exceeded 4% frequency in any population. We recognize that some recombinants still could have taken place and could have interfered with the interpretation of the results. Despite these limitations, we think our data provide a solid basis for a hypothesis of more than one allelic origin of the LP T-13910 mutations and the evolutionary history of the LP trait. Importantly, we base our conclusion on the frequency of the critical background alleles defined by haplotypes (like LNP H84 and H87) not directly affected by selection. Further, we base our interpretation on the analyses of reasonably large study samples from diverse populations, and, although the DNA samples analyzed here do not provide complete global covering, they do cover the critical regional populations in Eurasia.

To further address the issue of the historical origin of the common LP mutation in two diverse populations—Finns and Fulanis—we first estimated the most recent common ancestor (TMRCA) of the LP H98 T-13910 alleles in the Finns, using LD-decay analysis for marker D2S3014, which shows the highest LD with the LP phenotype in the Finns.3 Using a generation time of 25 years and the algorithm by Risch et al.,23,24 we found an age estimate of 5,275 years (95% CI 4,875–5,640) for the Finnish alleles. Use of the same marker, D2S3014, in the Fulani Sudanese population in the LD-decay analysis gave an age estimate of 6,475 years (95% CI 5,875–7,100). With three flanking markers (D2S3013, D2S3015, and D2S3016) that show less LD in LP alleles,3 the average square distance (ASD) method that used the Ytime program19 gave an age estimate of 9,252 years (95% CI 100–34,000) in this population (table 6).

Table 6.
Age Estimates of TMRCA for LP H98 T-13910 in Global Populations

For other populations, we applied two different methods to estimate the age of the LP mutation on the basis of the obtained haplotype frequencies. In the first method, we tried to take advantage of the role of selection that shaped the LCT region, to estimate the age of the LP T-13910 alleles among different populations. Previous studies have shown the selection coefficient, s, which measures the proportional excess of fitness of LP allele in relation to LNP allele, to range from 0.02 to 0.19.2,9,25,26 With the assumption of a dominant model for LP, s is proposed to be 0.04–0.05, and initial allele frequency p0 to be 0.001. We applied the general selection formula (ln(p/q)+1/q=ln(p0/q0)+1/q0+st) to roughly estimate the age of the selected allele, using the current allele frequencies (p) in every population.27 In the second, phylogeny-based method, we specifically analyzed the sequence of the critical 30-kb region. The age estimates were obtained by constructing the MJ network of 30-kb LCT haplotypes in each population separately, and, from these networks, we measured the rho statistic (ρ)—the average number of mutations from the root haplotype, LNP H1—in these populations. We included the SDs and a generation time of 25 years, to estimate TMRCA of the LP T-13910 alleles, using the NETWORK program, which applied the formula t=ρ/μ (where t is the time since TMRCA and μ is the mutation rate for the region per year).22 This method needs a calibration point to estimate the mutation rate of the region. We chose our previous age estimations on the basis of LD decay in Finns and Fulani and used the ASD in Finns as the internal calibration point to estimate the mutation rate of the region. The LD-decay method used here is considered to represent the lower boundary for mutation-rate calibration—4.54×10−8 bp/year, which translates into one mutation per 700 years. The second, ASD-based method is considered to represent the upper boundary for mutation-rate calibration—2.59×10−8 bp/year, which translates into one mutation per 1,225 years.

Although mutation-dating methods involve many assumptions and uncertainties, the results clearly indicate that our age estimate of the first cluster of LP haplotypes (H8–H12) indicates a substantially more recent introduction of the LP variants (1,400–3,000 years) than does the age estimate of the second cluster, representing the LP H98 haplotype (5,000–12,000 years). This supports the concept of two different origins of the LP T-13910 allele (tables (tables66 and and7).7). The oldest age estimates for the LP H98 T-13910 allele are obtained within the populations from widely divergent regions, such as African Fulani Sudanese, individuals from Utah, Finns, Basques, and Udmurts, in the age ±SD range of 5,040±792 to 10,735±1,193 years (table 6). Interestingly, if we take into account the high prevalence of LP and the LP T-13910 allele in the Fulani and northern Europeans, as well as the almost-identical LP H98 allelic haplotype carrying the T-13910 allele (not only in the 30-kb region studied here but also in an 800-kb region in some populations [data not shown]), similar age estimates emerge for the T-13910 allele in both populations. This would indicate that the African Fulani and northern Europeans probably share the origin of this mutation and perhaps also share a dairy culture. Previous studies in Fulani have also suggested a degree of Caucasian admixture in their gene pool, a finding that supports the Caucasian origin of the LP H98 T-13910 allele.28

Table 7.
Age Estimates Using TMRCA for the “Less Common” LP Alleles (H8–H12) in Various Populations[Note]

Although it is unlikely that all the populations exhibit the same initial allele frequency or would have experienced the same selection pressures throughout history, the selection method gives very reasonable estimates for the majority of the populations analyzed when compared with the other methods (table 6). It is interesting that, for many populations analyzed here, the age estimates obtained correlate very well with the dates estimated for the age of the LP H98 T-13910 allele in populations reported in other studies, such as northern Europeans.9,19 An interesting, recent report by Burger et al.29 showed the relative absence of the LP T-13910 allele in human remains in Europe (dated 7,000–7,800 years ago), implying that LP was rare in early Neolithic European farmers. This finding provides further support for our age estimates of the introduction of the LP T-13910 allele to global populations.29

The presence of the same LP allelic haplotype, H98, in dramatically diverse populations observed here, including Europeans, Asians, Arabs, some Sub-Saharan Africans, and North Africans (fig. 3), supports the concept of a single and relatively ancient global origin for the LP T-13910 H98 allele.3,7,13 Recently, Myles et al. interpreted the presence of the LP T-13910 allele among three North African Berber populations (from Morocco and Algeria) as genetic evidence of a shared origin of the dairy culture among those populations from Europe and Asia that show the presence of the LP T-13910 allele.30 More-recent data indicated the lack of the T-13910 variant among most Sub-Saharan African populations known to show high prevalence of LP, implying that other LP mutations must exist globally.31 Interestingly, two new reports have shown the presence of more than three variants that have risen independently in the close vicinity of the C/T-13910 variant correlating with LP in Africa.25,32 Taken together, these data and our results show that the LP T-13910 variant is of Caucasian origin and was most probably introduced independently more than once in human history. The accumulating data also imply the critical functional role of the −13910 region, as indicated by the recent reports of other mutations at or near this site: −13907, −13915, −13913, −13914, and −14010 variants, shown to correlate with LP in different populations. Some of them are driven to high population frequencies, whereas others still show low frequencies. These data lend strong support to the concept of convergent and still-ongoing adaptation of LP evolution in response to adult milk consumption in different human populations.


We are grateful to the participants for providing their samples for this study and to the following institutions for providing their financial support: The Emil Aaltonen Foundation (Tampere, Finland), The Center of Excellence in Complex Disease Genetics of the Academy of Finland, Biocentrum Helsinki, Research and Science Foundation of Farmos, The Sigrid Jusélius Foundation (Helsinki), and The Helsinki University Hospital Research Funding.

Web Resources

Accession numbers and URLs for data presented herein are as follows:

dbSNP, http://www.ncbi.nlm.nih.gov/SNP/ (for SNPs 2 [rs3754686], 3 [rs3769005], 4 [rs4988235], 5 [rs4954493], 6 [rs3099181]), 7 [rs182549], 8 [rs4988183], and 9 [rs3087343])
GenBank, http://www.ncbi.nlm.nih.gov/Genbank/ (for indel polymorphism sequence within intron 1 of LCT [accession number DQ109677])
NETWORK version, http://www.fluxus-engineering.com/
Online Mendelian Inheritance in Man (OMIM), http://www.ncbi.nlm.nih.gov/Omim/ (for lactase, LNP, and LP)


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    PubChem chemical compound records that cite the current articles. These references are taken from those provided on submitted PubChem chemical substance records. Multiple substance records may contribute to the PubChem compound record.
  • Gene
    Gene records that cite the current articles. Citations in Gene are added manually by NCBI or imported from outside public resources.
  • GEO Profiles
    GEO Profiles
    Gene Expression Omnibus (GEO) Profiles of molecular abundance data. The current articles are references on the Gene record associated with the GEO profile.
  • HomoloGene
    HomoloGene clusters of homologous genes and sequences that cite the current articles. These are references on the Gene and sequence records in the HomoloGene entry.
  • MedGen
    Related information in MedGen
  • Nucleotide
    Primary database (GenBank) nucleotide records reported in the current articles as well as Reference Sequences (RefSeqs) that include the articles as references.
  • Protein
    Protein translation features of primary database (GenBank) nucleotide records reported in the current articles as well as Reference Sequences (RefSeqs) that include the articles as references.
  • PubMed
    PubMed citations for these articles
  • Substance
    PubChem chemical substance records that cite the current articles. These references are taken from those provided on submitted PubChem chemical substance records.

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