Literature DB >> 30890716

Positive selection in Europeans and East-Asians at the ABCA12 gene.

Roberto Sirica1, Marianna Buonaiuto1, Valeria Petrella2, Lucia Sticco3, Donatella Tramontano4, Dario Antonini2,5, Caterina Missero2,5, Ombretta Guardiola1, Gennaro Andolfi1, Heerman Kumar6,7, Qasim Ayub6,7,8, Yali Xue8, Chris Tyler-Smith8, Marco Salvemini2, Giovanni D'Angelo3, Vincenza Colonna9.   

Abstract

Natural selection acts on genetic variants by increasing the frequency of alleles responsible for a cellular function that is favorable in a certain environment. In a previous genome-wide scan for positive selection in contemporary humans, we identified a signGene">al of positive selection in European and AsiGene">ans at the genetic vGene">ariGene">ant an class="Mutation">rs10180970. The variant is located in the second intron of the ABCA12 gene, which is implicated in the lipid barrier formation and down-regulated by UVB radiation. We studied the signal of selection in the genomic region surrounding rs10180970 in a larger dataset that includes DNA sequences from ancient samples. We also investigated the functional consequences of gene expression of the alleles of rs10180970 and another genetic variant in its proximity in healthy volunteers exposed to similar UV radiation. We confirmed the selection signal and refine its location that extends over 35 kb and includes the first intron, the first two exons and the transcription starting site of ABCA12. We found no obvious effect of rs10180970 alleles on ABCA12 gene expression. We reconstructed the trajectory of the T allele over the last 80,000 years to discover that it was specific to H. sapiens and present in non-Africans 45,000 years ago.

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Year:  2019        PMID: 30890716      PMCID: PMC6424970          DOI: 10.1038/s41598-019-40360-9

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

ATP binding cGene">assette (an class="Gene">ABC) transporters are trans-membrane ubiquitous proteins, that translocate natural substrates across plasma membranes. In humans, there are 49 genes coding for ABC transporters, arranged in eight subfamilies extensively studied because at least 11 of 49 genes are known to cause severe inherited diseases[1]. The ATP-binding cassette, sub-family A member 12 (ABCA12) gene was discovered from cDNA of human placenta[2]. ABCA12 is 207 kb long with fifty-three exons and two very long introns at its beginning (26.5 kb and 47.3 kb, respectively, Fig. 1a). ABCA12 is a keratinocyte transmembrane transporter that binds and hydrolyzes ATP to transport lipids in the lamellar granules[3]. This activity is required to form the extracellular lipid barrier in the outermost layer of the skin, the stratum corneum of the epidermis[3]. The lipid barrier is composed of three lipid classes (cholesterol, free fatty acids, and ceramides) and acts as a primary barrier between the body and the environment to prevent excessive water loss and to avoid penetration of pathogens[4]. ABCA12 has also a role in immunity: in macrophages it regulates the cellular cholesterol metabolism via an LXRb-dependent post-transcriptional mechanism[5].
Figure 1

Positive selection at ABCA12. (a) The ABCA12 gene has is 55 exons and two long introns at its beginning. The black rectangle indicates the 70 kb region surrounding rs10180970 considered in this project. (b) rs10180970 is the most differentiated variant between Africans and non-Africans as shown by the absolute difference of the derived allele frequency (ΔDAF), however, other variants seem to be also extremely differentiated. (c) The Cross Population Extended Haplotype Homozogysity statistic (XP-EHH), measured between pairs of continental populations, shows a signal of positive selection in non-Africans over 35 kb downstream rs10180970, especially in East-Asians. (d) The signal is confirmed by the Integrated Haplotype Score (iHS) within continental populations. In panels b–d the dashed line indicates the genomic position of rs10180970.

Positive selection at ABCA12. (a) The an class="Gene">ABCA12 gene has is 55 exons and two long introns at its beginning. The black rectangle indicates the 70 kb region surrounding rs10180970 considered in this project. (b) rs10180970 is the most differentiated variant between Africans and non-Africans as shown by the absolute difference of the derived allele frequency (ΔDAF), however, other variants seem to be also extremely differentiated. (c) The Cross Population Extended Haplotype Homozogysity statistic (XP-EHH), measured between pairs of continental populations, shows a signal of positive selection in non-Africans over 35 kb downstream rs10180970, especially in East-Asians. (d) The signal is confirmed by the Integrated Haplotype Score (iHS) within continental populations. In panels b–d the dashed line indicates the genomic position of rs10180970. UV-radiation has a major effect on skin and keratinocytes and it is one of the most studied environmental stressors of the epidermal homeostasis. In keratinocytes, UV-radiation induces mutagenesis, apoptosis, proliferation, and metabolic changes. UV-radiation has a major role in determining skin pigmentation[6,7], but it also cGene">an have a detrimental effect on the an class="Chemical">lipid barrier reducing the intercellular lipid cohesion[8]. Earlier studies suggest that UVB radiation down-regulates epidermal ABCA12 gene expression[9] and in general UV light influences other ABC transporters activity in lymphocytes[10]. The always growing availability of ancient DNA information allows us to directly reconstruct the history of genetic mutations and understand if consequences of past adaptations are relevant for contemporary humans[11]. PGene">ast events of positive selection cGene">an be tested as detection of a major shift in allele frequencies[12-14]. In a genome-wide scan for positive selection in contemporary humans, we identified a signGene">al of positive selection in Europeans and AsiGene">ans at an class="Mutation">rs10180970 C/T, located in the second intron of ABCA12[15]. In the study, we demonstrated that the derived allele T is highly frequent in Asians and Europeans, compared to Africans, where the ancestral C variant prevails. This evidence, together with the identification of patterns typical of positive selection in the genomic region of rs10180970 let us speculate that ancestor of current Europeans and Asians should have had an advantage in carrying the T allele and that it would be interesting to determine the functional consequences and the trajectory of the T allele through time. Here we present results from investigating the genomic region surrounding rs10180970. We confirm that this region underwent positive selection and investigate one possible selected phenotype. We have extended the set of individuals used to investigate genetic vGene">ariGene">ation and nGene">atural selection at an class="Mutation">rs10180970, including also DNA sequences from ancient human samples. We confirm the signal of positive selection at rs10180970, investigate linkage with genetic variants in its proximity and the effect of the two alleles on ABCA12 gene expression.

Results

Natural selection signal at the ABCA12 gene extends 10 kb downstream rs10180970

We identified rs10180970 as a possible cGene">andidGene">ate for positive selection in Europeans and AsiGene">ans during a genome-wide scGene">an for positive selection conducted on populGene">ations from Phase I 1000 Genomes Project[15]. In this study, we considered a 70 kb region surrounding an class="Mutation">rs10180970 including the first two exons, the first and most of the second introns, and the transcription starting site of ABCA12 (Fig. 1a). Compared to Phase I, the 1000 Genomes Phase III dataset[16] includes 1,412 more samples belonging to 12 more populations (Supplementary Table S1) and in the region under study includes 1,612 variants for which the ancestral state is known and that we used to calculate statistics suggestive of population differentiation and positive selection. Between pairs of continental populations, we evaluated the absolute difference of the derived allele frequency (ΔDAF) and the Cross Population Extended Haplotype Homozygosity (XP-EHH[17]). ΔDAF approaches 1 when the derived allele prevails in one population and is almost absent in the other. According to ΔDAF, rs10180970 is still the most differentiGene">ated vGene">ariGene">ant in compGene">arisons of AfricGene">ans and non-AfricGene">ans in 70 kb surrounding an class="Mutation">rs10180970 (Fig. 1b). In Phase III the T/T genotype frequency in the combined sample of Europeans and Asians is significantly higher than Africans (Table 1, Fisher exact test p-value < 2.2e-16). Similarly, in the Complete Genomics dataset (CG)[18], the T/T genotype is significantly more frequent among Asians and Europeans compared to Africans. This is true both when considering samples partially overlapping with Phase I, and samples unique to CG (Table 1, Fisher exact test p-value < 2.2e-16), suggesting that the observed pattern of higher derived allele frequencies in Europeans and Asians compared to Africans was not due to the specific set of sample used but is reproducible. XP-EHH detects recent positive selection highlighting selective sweeps in which the selected allele has approached or achieved fixation in one population but remains polymorphic in the overall population. In the 1000 Genomes Phase III dataset, we observe a stretch of negative XP-EHH outside the expected variance range (i.e., -1,1) in pairs of Africans with non-Africans. The signal is located approximately at 10 kb downstream rs10180970, suggesting recent positive selection in non-Africans in this region (Fig. 1c), and it is particularly strong in East-Asians. Within continental populations we calculated the Integrated Haplotype Score (iHS[19]). iHS detects the classic signal of strong directional selection through the identification of unusually long haplotypes with low diversity surrounding core SNPs. As for XP-EHH, also for iHS we observe peaks of unusually high iHS 10 kb downstream rs10180970 in non-African populations and especially in East-Asians (Fig. 1d).
Table 1

Genotypes frequencies at rs10180970 in Phase III 1000 Genome and Complete Genomics datasets both full and non overlapping with 1000 Genomes Phase I (unique).

T/TT/CC/C
Complete Genomics full datasetAfricans Europeans & Asians00.890.090.100.910.01
Complete Genomics uniqueAfricans Europeans & Asians00.880.050.110.950.01
1000 Genomes Phase IIIAfricans Europeans & Asians0.010.850.140.140.840.01
Genotypes frequencies at rs10180970 in PhGene">ase III 1000 Genome and Complete Genomics datGene">asets both full and non overlGene">apping with 1000 Genomes PhGene">ase I (unique). Altogether these results show that while rs10180970 is the most differentiGene">ated vGene">ariGene">ant in the an class="Gene">ABCA12 gene, haplotypes downstream rs10180970 differ between Africans and non-Africans. Haplotypes carrying the T allele of rs10180970 are very common in Europeans and Asians and tend to be longer and less diverse in these two populations compared to the others, suggesting that this region might have been affected by recent positive selection in these two populations. As linkage between variants in a long haplotype can be responsible for spurious signals, we computed linkage disequilibrium (LD) in continental populations between rs10180970 and 2,034 genetic vGene">ariGene">ants in 70 kb surrounding an class="Mutation">rs10180970. For all populations but Africans, we observe LD within 10 kb downstream rs10180970 (Fig. 2a). In East-Asians and Europeans LD extends over 35 kb downstream rs10180970, in a region inclusive of the first intron and the first exon. Within this block, LD is high in East-Asians (r2 around 0.75) and moderate in Europeans (r2 around 0.50). The genomic region in high LD contains functional features such as chromatin regulation (H3K4Me1 and H3K27Ac), enhancers and a promoter located in the proximity of the first intron and includes SNPs with ΔDAF > 0.70 (Fig. 2b). Therefore we conclude that other SNPs are in high LD with rs10180970 in East-Asians and part of a long haplotype that is located in a genomic region with regulatory features.
Figure 2

Linkage disequilibrium between rs10180970 and variants within 70 kb. (a) Vertical dotted line indicates the genomic position of rs10180970. Circles represent other variants at their genomic position on the x-axis and the r2 measures the non-random association of the alleles of each variant with rs10180970 on the y-axis. Crosses distinguish pairs in which the genetic variants have ΔDAF > 0.70 as shown in Fig. 1. (b) Screen-shot form Genome Browser showing chromatin modification and state segmentation for several cell types in the genomic region under investigation.

Linkage disequilibrium between rs10180970 and vGene">ariGene">ants within 70 kb. (a) VerticGene">al dotted line indicGene">ates the genomic position of an class="Mutation">rs10180970. Circles represent other variants at their genomic position on the x-axis and the r2 measures the non-random association of the alleles of each variant with rs10180970 on the y-axis. Crosses distinguish pairs in which the genetic variants have ΔDAF > 0.70 as shown in Fig. 1. (b) Screen-shot form Genome Browser showing chromatin modification and state segmentation for several cell types in the genomic region under investigation.

No significant association between ABCA12 expression and genotype at rs10180970

Having confirmed the signal of natural selection at rs10180970 we next asked if the two alleles have a different effect on gene expression. Furthermore, in the hypothesis that another vGene">ariGene">ant in linkage with an class="Mutation">rs10180970 can be responsible for the functional changes, we decided to include also rs2970968 in the analysis. Besides being in linkage disequilibrium with rs10180970 in East-Asians and having high ΔDAF like other variants, rs2970968 has two further features that make it an interesting variant. First, we predicted the functional consequences of the variants with high ΔDAF and in linkage disequilibrium with rs10180970 in East-Asians using Funseq[20] (Supplementary Table S2). We confirmed that rs2970968 (leftmost dark red cross in Fig. 2a) is located in a region predicted to be an enhancer[21] in lymphoblastoid, HeLa and HUVEC cell lines and that it is located in transcription factor binding peak of several transcription factors, although not in transcription factor motifs within peaks (Supplementary Fig. S1). One of the transcription factors is implicated in mammalian skin tumors (ATF2[22,23]) and three others are regulated by UVB radiation (STAT3, GATA3, and POU2F2)[24-26]. Secondly, rs2970968 is the closest SNP to a region that has shown to be essential for the functioning of the promoter of ABCA12[27] (Supplementary Fig. S1). We investigated ABCA12 expression in relGene">ation to the three genotypes of an class="Mutation">rs10180970 (C/C, C/T, T/T) and rs2970968 (A/A, A/G, G/G). Human skin would be the ideal tissue to test allele-specific gene expression, however sampling technique is invasive. It is instead possible to quantify ABCA12 expression in total mRNA extracted from pulled hairs without the need for invasive skin biopsies[28]. Because ABCA12 expression is influenced by sun exposure[29], to discriminate between the genetic and the environmental effects, we performed the experiment in a group of individuals of different geographical origin but all resident in the same city. We determined the genotypes at rs10180970 and rs2970968 through DNA sequencing and measured ABCA12 expression through quantitative PCR of reverse transcribed total mRNA extracted from pulled hair roots. We considered as reference the average ABCA12 gene expression of genotypes of the ancestral alleles (C/C for rs10180970, and AA for rs2970968), which are also the allele prevalent in Africans, and calculated the fold change of the other observed genotypes. After quality controls, we had data on both genotype and ABCA12 expression for 36 and 39 samples at rs10180970 and rs2970968, respectively. As shown in Fig. 3, there is no significant correlation between ABCA12 gene expression and genotypes at both loci (One-way non-parametric ANOVA p-values > 0.9 for both sites), suggesting no effect of rs10180970 or rs2970968 genotypes on ABCA12 expression in hair roots. Therefore, we conclude that the effect of the selection at these two loci on gene expression is not obvious when individuals are exposed to similar UV radiation.
Figure 3

ABCA12 expression in relation to the three genotypes of (a) rs10180970 and (b) rs2970968. Fold change refers to average ABCA12 gene expression of ancestral genotypes, which are also the genotypes prevalent in Africans (C/C for rs10180970, and AA for rs2970968).

ABCA12 expression in relGene">ation to the three genotypes of (a) rs10180970 and (b) rs2970968. Fold change refers to average ABCA12 gene expression of ancestral genotypes, which are also the genotypes prevalent in Africans (C/C for rs10180970, and AA for rs2970968). While it is not possible to model the gene effect in mouse becGene">ause there is no homologous region in an class="Species">mouse, we found that ABCA12 is well expressed in HaCaT cells, a spontaneously transformed aneuploid immortal keratinocyte cell line from adult human skin[30]. We determined by Sanger sequencing that HaCaT cells are heterozygous at rs10180970 and therefore can be used for allele-specific expression assessment at this locus. As a preliminary work, we silenced ABCA12 in HaCatT cells using small interfering RNAs and confirmed that ABCA12 expression is reduced after UVB radiation (20 mJ and 30 mJ), with downregulation remaining sustained up to 18 hours after treatment (Fig. 4).
Figure 4

ABCA12 expression in HaCaT cells and UVB irradiation (a) ABCA12 is expressed in HaCaT cells and can be silenced using small interfering RNA. (b) ABCA12 expression is reduced after Ultraviolet B (UVB) radiation and cells do not recover even after 18 hours. T6 and T18 indicate 6 and 18 hours after UVB radiation; mJ = milliJoule.

ABCA12 expression in HaCaT cells and UVB irradiation (a) ABCA12 is expressed in HaCaT cells and can be silenced using small interfering RNA. (b) ABCA12 expression is reduced after Ultraviolet B (UVB) radiation and cells do not recover even after 18 hours. T6 and T18 indicate 6 and 18 hours after UVB radiation; mJ = milliJoule.

The T variant of rs10180970 is specific to H. sapiens and rapidly increased in frequency in non-Africans

We determined the pattern of genetic variation at rs10180970 in time and space in 88 ancient and 2,764 contemporary sGene">amples rGene">anging the lGene">ast 80,000 years with the aim to understGene">and when the T allele first appeared and how its frequency evolved through time. Among contemporary sGene">amples, 41 were collected for this study and are from 9 geogrGene">aphicGene">ally diverse populGene">ations (SupplementGene">ary Table S1). Their genotype at an class="Mutation">rs10180970 was determined by Sanger sequencing a 600 bp region containing the variant. For the rest of the contemporary samples genotypes at rs10180970 were publicly available from the 1000 Genomes Phase III[16] and a study on West Africans[31]. For ancient samples, we used publicly available raw sequencing data (Supplementary Table S3) to perform variant calling. Beside H. sapiens, ancient samples include also one Denisova sample and two Neanderthals. The allele frequency of the derived allele T (fT) through time was determined grouping individuals in bins of 2000 years (Fig. 5). Some pools are made of very few individuals (n = 1 in extreme cases). Individuals were subdivided according to species and within H. sapiens in AfricGene">ans and non-AfricGene">ans. In our dGene">atGene">a, the T allele appeared for the first time around 45 kyGene">a in a an class="Species">H. sapiens sample from Russia[32] and rapidly fT reached 0.9 in non-Africans remaining stable until the present day.
Figure 5

Prevalence of the T allele of rs10180970 in time and space. (a) T allele trajectory in the last 80,000 years in 88 ancient and 2,764 contemporary samples. The T allele is observed for the first time 45,000 years ago in non-Africans and rapidly rose in frequency. (b) T allele frequency is very low among African populations with the exception of North-Africans (especially Egyptians and Ethiopians) and African American. (c) T allele was probably recently introgressed in African American, as admixture analysis show a shared genetic component of African American with Europeans and East-Asians in the region under investigation. Vertical bars represent single individuals and colors reflect membership to admixture clusters in the most likely hypothesis of five clusters.

Prevalence of the T allele of rs10180970 in time and space. (a) T allele trajectory in the lGene">ast 80,000 years in 88 ancient and 2,764 contemporary sGene">amples. The T allele is observed for the first time 45,000 years ago in non-AfricGene">ans and rapidly rose in frequency. (b) T allele frequency is very low among AfricGene">an populGene">ations with the exception of North-AfricGene">ans (especiGene">ally EgyptiGene">ans and EthiopiGene">ans) and AfricGene">an AmericGene">an. (c) T allele was probably recently introgressed in AfricGene">an AmericGene">an, as adan class="Gene">mixture analysis show a shared genetic component of African American with Europeans and East-Asians in the region under investigation. Vertical bars represent single individuals and colors reflect membership to admixture clusters in the most likely hypothesis of five clusters. Of the 16 African ancient samples available to date, only three have reliable data in the rs10180970 region (SupplementGene">ary Table S3). The most ancient AfricGene">an dGene">atGene">a is from EthiopiGene">a 4.5 kyGene">a[33], while the other two are from 1.3-2 kyGene">a[34]. All ancient AfricGene">ans have genotype C/C. In contemporary AfricGene">ans fT is very low but not completely absent (0.09), while in North-AfricGene">ans fT is on average 0.4 and T is the major allele in EgyptiGene">ans, within North-AfricGene">ans (Fig. 5b). Adan class="Gene">mixture analysis shows that the Africans and North-Africans with higher fT, in fact, have quite high European and South Asian components probably reflecting recent admixture (Fig. 5c). Both Neanderthals and the one an class="Species">Denisova sample available are homozygous for the ancestral C allele, suggesting that the T allele might have been specific to H. sapiens, as far as we know about the other two species. In support of this hypothesis, two recent publications find that there is a very little probability of admixture in the region surrounding rs10180970 between H. sapiens and Neanderthals[35] (Supplementary Fig. S2) and H. sapiens and Denisova[36]. We conclude that the T variant of rs10180970 is specific to H. sapiens and rapidly increased in frequency in non-Africans, while the low prevalence of T in contemporary Africans might be due to recent admixture with Europeans and South-Asians.

Discussion

Humans are exposed to environmental agents through the nGene">aked skin, and in fGene">act, strong nGene">atural selection has been detected in a number of skin-relGene">ated phenotypic traits such as an class="Disease">hair and eye pigmentation[6,37,38], and hair thickness[39,40]. The lipid barrier is the most external layer of the skin and it acts as an interface with the environment, providing protection against UV, dehydration, and pathogens. The formation of lipid barrier is a complex process and mutations in genes involved in this process result in skin diseases. Nevertheless, to date, to our knowledge, no studies investigated natural selection of genes that contribute to build the lipid barrier such as ABCA12. The genetic variant rs10180970 locGene">ated on chromosome 2 in the an class="Gene">ABCA12 gene, is predicted to be under positive selection in Europeans and Asians, as we discovered in a genome-wide scan based on population differentiation[15]. Here we investigated the genomic region containing rs10180970 to ask whether the variant is truly under positive selection and investigated the functional consequences of the selection event. We confirmed the signal of selection in Europeans and Asians and discovered high linkage disequilibrium in a 35 kb region downstream rs10180970 (Fig. 2). In the 35 kb region the signGene">als of positive selection are as strong or stronger than those initiGene">ally found at an class="Mutation">rs10180970 (Fig. 1) and include the promoter of the gene (Fig. 2). By using a larger dataset of DNA sequences and a more fine population subdivision compared to the one used to discover the signal, we observe that the signal is stronger in East-Asians compared to South-Asians, possibly because South-Asians exposure to UV radiation is more similar to that of Africans. Despite confirming the positive selection signal we could not observe obvious allele-specific effect of rs10180970 on ABCA12 gene expression (Fig. 3) in a sample of individuals exposed to the same level of UV radiation. Finally, we traced the history through time of the allele under selection using publicly available ancient human sequences and established that the mutation is specific to H. sapiens (Fig. 5, Supplementary Fig S2). While our findings strongly corroborate the signal of selection they also suggest that a different functional approach should be used to decipher the functional consequences of the event of selection in terms of gene expression. We suggest that further work is required to fully decipher the effect of selection on ABCA12 and identified the keratinocyte-derived an class="CellLine">HaCaT cells as a model system for in vitro experiments. We determined that ABCA12 is expressed and can be silenced in the HaCaT cells, and more importantly HaCaT cells are heterozygous at rs10180970, therefore ideal for investigating allele-specific effects. On the other hand, because of the possibility that other sites in linkage with rs10180970 are involved, it would be probably worth while to consider sequence information at other sites as well. More in general, overall indication for future research implicate the study of the non-coding regions of ABCA12, like sequence/haplotype-specific enhancer assay, even if the dimensions of the gene can be a limitation. There are two main findings from our work. First, we reconstructed the demographic history of the T allele using the currently available information to discover that it is specific to H. sapiens and it was appGene">arently very frequent in an class="Species">humans that migrated out of Africa prior to 50 kya. The second main finding is that while rs10180970 might act as a sentinel for the signal of selection, the signal extends over 35 kb and includes the first intron, the first two exons and the transcription starting site of ABCA12. Linkage disequilibrium in this region is high in East-Asians and Europeans, there are several regions predicted to be enhancers and two regions predicted to be sites of chromatin modifications (methylation and acetylation), thus possibly influencing gene expression. Our study endorses and refines previous studies. Similar to ABCA12, other members of the an class="Gene">ABC family have also been identified in previous scans for positive selection[41]. The genomic region containing ABCA12 was identified as one of the most differentiated between continental populations[42], and in fact ABCA12 hosts one of the top ten SNPs in the genome, useful to discriminate continental populations in clustering analyses[43]. ABCA12 was identified as one of the top candidate genes in a study investigating local adaptation in Asians[44] and stands out in a selection scan performed with LD-based statistics on HapMap Phase II data[45]. However, none of these studies provides an indication of the exact genomic location of the signal within the gene. In this study, we corroborate the signal of selection at rs10180970 that was localized in our previous study[15], and provide initial evidence that will help understand why the T allele of rs10180970 was favored in the ancestors of current Asians, in particular, East-Asians, and Europeans. Our work also shows that with the exception of few cases (e.g.[46,47]) it is surprisingly difficult to identify the selected allele and selected phenotype, even with abundant sequence data and functional tests.

Methods

Samples and genotyping

Forty samples were collected from healthy fully informed, consenting, adult volunteers from 9 countries (Supplementary Table S1). Saliva samples were collected using the Oragene DNA (OG-500) kit. Genomic DNA was phenolan class="Chemical">chloroform extracted from saliva[48]. All experiments were carried out in accordance with relevant guidelines and regulations. The study was approved by the ethics committee of the University of Naples Federico II (protocol number 106/15) and conducted in accordance with the relevant guidelines and regulations. Written informed consent was obtained from all participants. Genotypes at rs10180970 and rs2970968 were obtained by Sanger-sequencing a 325 bp and 400 bp regions, respectively, of the ABCA12 gene where the variants are located. The fragments were amplified from genomic DNA by PCR in a final volume of 50 μl using oligos designed with Primer3[49,50] and the following conditions: 1 cycle 95 °C for 5′; 35 cycles at 95 °C for 1′, 62 °C for 1′, 72 °C for 45″; 1 cycle at 72 °C for 10′. PCR products were purified using PCR purification kit from QIAGEN. All other contemporary samples in the study are part of public collections and genotype data at rs10180970 was availGene">able in form of vcf files[16,18,31]. For ancient sGene">amples we screened publicly availGene">able sequence reads dGene">atGene">a of 400 sGene">amples spGene">anning 80,000–200 years before present[32,51-64], however filtering for coverage >2 in the region of interest resulted in 89 sGene">amples listed in SupplementGene">ary Table S3. VariGene">ant cGene">alling in ancient sGene">amples was performed with sGene">amtools/bcftools[65].

Derived allele frequencies, linkage disequilibrium, admixture, introgression, natural selection analyses

Derived allele frequencies were computed using vcftools[66] using the information on derived allele from the 1000 Genomes Project[16]. Linkage disequilibrium (LD) between rs10180970 and any other SNP in ±2 Mb was computed with PLINK1.9[67]. Clustering anGene">alysis in a region of 2 Mb surrounding an class="Mutation">rs10180970 including 55,683 Single Nucleotide Polymorphisms (SNPs) was done with ADMIXTURE[68]. ADMIXTURE was run under the hypotheses of 2 to 10 clusters with cross-validation computation. Data for checking if the region of rs10180970 is among the ones putGene">atively introgressed form an class="Species">Neanderthal were downloaded from http://genetics.med.harvard.edu/reichlab/Reich_Lab/Datasets_-_Neandertal_Introgression.html. Integrated haplotype score (iHS) and Cross-Population Extended Haplotype Homozygosity (XP-EHH) were calculated with Hapbin[69]. Parameters for iHS calculation were–minmaf 0.01, –cutoff 0.01. iHS and XP-EHH log-ratio were normalized to have zero mean and unit variance using the standard normalization implemented in Hapbin that groups variants in bins of 2% frequency.

RNA extraction and processing from hair follicles

Hair follicles (5 to 7 bulbs) were grasped as near to the an class="Disease">scalp as possible without damaging hair roots. Total RNA was extracted from bulbs on the day of collection, or following storage at 4 °C for 1–5 days in RNA Later and placed into a 1,5 ml microcentrifuge tube containing 1 ml of Trizol Reagent (Fisher Molecular Biology). RNA extraction was then conducted according to manufacturer’s instructions. 500 ng RNA were reverse-transcribed using SuperScript® VILOTM MasterMix (Invitrogen). qPCR was performed on technical triplicates per each sample using Light Cycler 480® II (Roche), on 2 μl of previously diluted cDNA (1:5) template using LightCycler® 480 SYBR Green I Master Mix (Roche), according to the manufacturer instructions. The thermal profile consisted of 1 cycle at 95 °C for 10′; 40 cycles at 95 °C for 10″, 60 °C for 10″, 72 °C for 10″. Fold changes were calculated relative to Hypoxanthine Phospho Ribosyl Transferase (HPRT1) expression as in[70].

HaCat cells culturing, genotyping, silencing and UV radiation

HaCat cells were cultured in 75 cm2 tissue culture flGene">asks in Dulbecco’s Modified Eagle’s Medium, containing 10% fetal an class="Species">bovine serum and 1% penicillin and streptomycin. Cells were maintained in a humidified atmosphere (5% CO2) at 37 °C. Genomic DNA was extracted from HaCat cells[71] and genotype at rs10180970 was determined by Sanger sequencing. For silencing experiments, HaCaT cells were transfected with a an class="Gene">ABCA12-targeting siRna (Sigma Aldrich). Transfection was performed with Oligofectamine following the manufacturer’s protocol. Cells were collected 72 hours after transfection. Silencing efficiency was evaluated by Real Time Quantitative PCR (RT-qPCR) following total RNA extraction using RNeasy Mini Kit-QIAGEN and 1 μg and reverse-transcription using SuperScript® VILOTM MasterMix (Invitrogen). For UVB radiation HaCaT cells were plGene">ated in 60 mm plGene">ates and grown an class="Species">to 70–90% confluence. Subsequently, cells were irradiated with 20 and 30 mJ/cm2 using three lamps (Philips Ultraviolet 8 TL 20 W/01 RS lamps; Philips, Eindhoven, Netherlands) generating UVB light in the range of 290–320 nm with an emission peak at 312 nm. The intensity of UVB irradiation was measured using a phototherapy radiometer (International Light, Newburyport, MA) of UVB. After irradiation cells were incubated for 0, 6 and 18 hours and ABCA12 expression was assessed by Real Time PCR (RT-PCR). Fold changes were calculated relative to Ribosomal Protein Large P0 (RPLP0) expression as in[70,72]. SupplementaryInfo
  71 in total

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Authors:  Takuya Takeichi; Kazumitsu Sugiura; Kazuyuki Matsuda; Michihiro Kono; Masashi Akiyama
Journal:  J Dermatol Sci       Date:  2012-11-14       Impact factor: 4.563

3.  Ancient genomes link early farmers from Atapuerca in Spain to modern-day Basques.

Authors:  Torsten Günther; Cristina Valdiosera; Helena Malmström; Irene Ureña; Ricardo Rodriguez-Varela; Óddny Osk Sverrisdóttir; Evangelia A Daskalaki; Pontus Skoglund; Thijessen Naidoo; Emma M Svensson; José María Bermúdez de Castro; Eudald Carbonell; Michael Dunn; Jan Storå; Eneko Iriarte; Juan Luis Arsuaga; José-Miguel Carretero; Anders Götherström; Mattias Jakobsson
Journal:  Proc Natl Acad Sci U S A       Date:  2015-09-08       Impact factor: 11.205

4.  Integrative annotation of variants from 1092 humans: application to cancer genomics.

Authors:  Ekta Khurana; Yao Fu; Vincenza Colonna; Xinmeng Jasmine Mu; Hyun Min Kang; Tuuli Lappalainen; Andrea Sboner; Lucas Lochovsky; Jieming Chen; Arif Harmanci; Jishnu Das; Alexej Abyzov; Suganthi Balasubramanian; Kathryn Beal; Dimple Chakravarty; Daniel Challis; Yuan Chen; Declan Clarke; Laura Clarke; Fiona Cunningham; Uday S Evani; Paul Flicek; Robert Fragoza; Erik Garrison; Richard Gibbs; Zeynep H Gümüş; Javier Herrero; Naoki Kitabayashi; Yong Kong; Kasper Lage; Vaja Liluashvili; Steven M Lipkin; Daniel G MacArthur; Gabor Marth; Donna Muzny; Tune H Pers; Graham R S Ritchie; Jeffrey A Rosenfeld; Cristina Sisu; Xiaomu Wei; Michael Wilson; Yali Xue; Fuli Yu; Emmanouil T Dermitzakis; Haiyuan Yu; Mark A Rubin; Chris Tyler-Smith; Mark Gerstein
Journal:  Science       Date:  2013-10-04       Impact factor: 47.728

Review 5.  Harnessing ancient genomes to study the history of human adaptation.

Authors:  Stephanie Marciniak; George H Perry
Journal:  Nat Rev Genet       Date:  2017-09-11       Impact factor: 53.242

6.  POPULATION GENETICS. Genomic evidence for the Pleistocene and recent population history of Native Americans.

Authors:  Maanasa Raghavan; Matthias Steinrücken; Kelley Harris; Stephan Schiffels; Simon Rasmussen; Michael DeGiorgio; Anders Albrechtsen; Cristina Valdiosera; María C Ávila-Arcos; Anna-Sapfo Malaspinas; Anders Eriksson; Ida Moltke; Mait Metspalu; Julian R Homburger; Jeff Wall; Omar E Cornejo; J Víctor Moreno-Mayar; Thorfinn S Korneliussen; Tracey Pierre; Morten Rasmussen; Paula F Campos; Peter de Barros Damgaard; Morten E Allentoft; John Lindo; Ene Metspalu; Ricardo Rodríguez-Varela; Josefina Mansilla; Celeste Henrickson; Andaine Seguin-Orlando; Helena Malmström; Thomas Stafford; Suyash S Shringarpure; Andrés Moreno-Estrada; Monika Karmin; Kristiina Tambets; Anders Bergström; Yali Xue; Vera Warmuth; Andrew D Friend; Joy Singarayer; Paul Valdes; Francois Balloux; Ilán Leboreiro; Jose Luis Vera; Hector Rangel-Villalobos; Davide Pettener; Donata Luiselli; Loren G Davis; Evelyne Heyer; Christoph P E Zollikofer; Marcia S Ponce de León; Colin I Smith; Vaughan Grimes; Kelly-Anne Pike; Michael Deal; Benjamin T Fuller; Bernardo Arriaza; Vivien Standen; Maria F Luz; Francois Ricaut; Niede Guidon; Ludmila Osipova; Mikhail I Voevoda; Olga L Posukh; Oleg Balanovsky; Maria Lavryashina; Yuri Bogunov; Elza Khusnutdinova; Marina Gubina; Elena Balanovska; Sardana Fedorova; Sergey Litvinov; Boris Malyarchuk; Miroslava Derenko; M J Mosher; David Archer; Jerome Cybulski; Barbara Petzelt; Joycelynn Mitchell; Rosita Worl; Paul J Norman; Peter Parham; Brian M Kemp; Toomas Kivisild; Chris Tyler-Smith; Manjinder S Sandhu; Michael Crawford; Richard Villems; David Glenn Smith; Michael R Waters; Ted Goebel; John R Johnson; Ripan S Malhi; Mattias Jakobsson; David J Meltzer; Andrea Manica; Richard Durbin; Carlos D Bustamante; Yun S Song; Rasmus Nielsen; Eske Willerslev
Journal:  Science       Date:  2015-07-21       Impact factor: 47.728

7.  Ancient human genomes suggest three ancestral populations for present-day Europeans.

Authors:  Iosif Lazaridis; Nick Patterson; Alissa Mittnik; Gabriel Renaud; Swapan Mallick; Karola Kirsanow; Peter H Sudmant; Joshua G Schraiber; Sergi Castellano; Mark Lipson; Bonnie Berger; Christos Economou; Ruth Bollongino; Qiaomei Fu; Kirsten I Bos; Susanne Nordenfelt; Heng Li; Cesare de Filippo; Kay Prüfer; Susanna Sawyer; Cosimo Posth; Wolfgang Haak; Fredrik Hallgren; Elin Fornander; Nadin Rohland; Dominique Delsate; Michael Francken; Jean-Michel Guinet; Joachim Wahl; George Ayodo; Hamza A Babiker; Graciela Bailliet; Elena Balanovska; Oleg Balanovsky; Ramiro Barrantes; Gabriel Bedoya; Haim Ben-Ami; Judit Bene; Fouad Berrada; Claudio M Bravi; Francesca Brisighelli; George B J Busby; Francesco Cali; Mikhail Churnosov; David E C Cole; Daniel Corach; Larissa Damba; George van Driem; Stanislav Dryomov; Jean-Michel Dugoujon; Sardana A Fedorova; Irene Gallego Romero; Marina Gubina; Michael Hammer; Brenna M Henn; Tor Hervig; Ugur Hodoglugil; Aashish R Jha; Sena Karachanak-Yankova; Rita Khusainova; Elza Khusnutdinova; Rick Kittles; Toomas Kivisild; William Klitz; Vaidutis Kučinskas; Alena Kushniarevich; Leila Laredj; Sergey Litvinov; Theologos Loukidis; Robert W Mahley; Béla Melegh; Ene Metspalu; Julio Molina; Joanna Mountain; Klemetti Näkkäläjärvi; Desislava Nesheva; Thomas Nyambo; Ludmila Osipova; Jüri Parik; Fedor Platonov; Olga Posukh; Valentino Romano; Francisco Rothhammer; Igor Rudan; Ruslan Ruizbakiev; Hovhannes Sahakyan; Antti Sajantila; Antonio Salas; Elena B Starikovskaya; Ayele Tarekegn; Draga Toncheva; Shahlo Turdikulova; Ingrida Uktveryte; Olga Utevska; René Vasquez; Mercedes Villena; Mikhail Voevoda; Cheryl A Winkler; Levon Yepiskoposyan; Pierre Zalloua; Tatijana Zemunik; Alan Cooper; Cristian Capelli; Mark G Thomas; Andres Ruiz-Linares; Sarah A Tishkoff; Lalji Singh; Kumarasamy Thangaraj; Richard Villems; David Comas; Rem Sukernik; Mait Metspalu; Matthias Meyer; Evan E Eichler; Joachim Burger; Montgomery Slatkin; Svante Pääbo; Janet Kelso; David Reich; Johannes Krause
Journal:  Nature       Date:  2014-09-18       Impact factor: 49.962

8.  Human ATP-binding cassette (ABC) transporter family.

Authors:  Vasilis Vasiliou; Konstandinos Vasiliou; Daniel W Nebert
Journal:  Hum Genomics       Date:  2009-04       Impact factor: 4.639

9.  Genome-wide patterns of selection in 230 ancient Eurasians.

Authors:  Iain Mathieson; Iosif Lazaridis; Nadin Rohland; Swapan Mallick; Nick Patterson; Songül Alpaslan Roodenberg; Eadaoin Harney; Kristin Stewardson; Daniel Fernandes; Mario Novak; Kendra Sirak; Cristina Gamba; Eppie R Jones; Bastien Llamas; Stanislav Dryomov; Joseph Pickrell; Juan Luís Arsuaga; José María Bermúdez de Castro; Eudald Carbonell; Fokke Gerritsen; Aleksandr Khokhlov; Pavel Kuznetsov; Marina Lozano; Harald Meller; Oleg Mochalov; Vyacheslav Moiseyev; Manuel A Rojo Guerra; Jacob Roodenberg; Josep Maria Vergès; Johannes Krause; Alan Cooper; Kurt W Alt; Dorcas Brown; David Anthony; Carles Lalueza-Fox; Wolfgang Haak; Ron Pinhasi; David Reich
Journal:  Nature       Date:  2015-11-23       Impact factor: 49.962

10.  The Combined Landscape of Denisovan and Neanderthal Ancestry in Present-Day Humans.

Authors:  Sriram Sankararaman; Swapan Mallick; Nick Patterson; David Reich
Journal:  Curr Biol       Date:  2016-03-28       Impact factor: 10.834

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