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Featured researches published by Massimo Mezzavilla.


Genome Biology | 2016

Ancient DNA and the rewriting of human history: be sparing with Occam’s razor

Marc Haber; Massimo Mezzavilla; Yali Xue; Chris Tyler-Smith

Ancient DNA research is revealing a human history far more complex than that inferred from parsimonious models based on modern DNA. Here, we review some of the key events in the peopling of the world in the light of the findings of work on ancient DNA.


Nature Genetics | 2015

Population genetic differentiation of height and body mass index across Europe

Matthew R. Robinson; Gibran Hemani; Carolina Medina-Gomez; Massimo Mezzavilla; Tonu Esko; Konstantin Shakhbazov; Joseph E. Powell; Anna A. E. Vinkhuyzen; Sonja I. Berndt; Stefan Gustafsson; Anne E. Justice; Bratati Kahali; Adam E. Locke; Tune H. Pers; Sailaja Vedantam; Andrew R. Wood; Wouter van Rheenen; Ole A. Andreassen; Paolo Gasparini; Andres Metspalu; Leonard H. van den Berg; Jan H. Veldink; Fernando Rivadeneira; Thomas Werge; Gonçalo R. Abecasis; Dorret I. Boomsma; Daniel I. Chasman; Eco J. C. de Geus; Timothy M. Frayling; Joel N. Hirschhorn

Across-nation differences in the mean values for complex traits are common, but the reasons for these differences are unknown. Here we find that many independent loci contribute to population genetic differences in height and body mass index (BMI) in 9,416 individuals across 14 European countries. Using discovery data on over 250,000 individuals and unbiased effect size estimates from 17,500 sibling pairs, we estimate that 24% (95% credible interval (CI) = 9%, 41%) and 8% (95% CI = 4%, 16%) of the captured additive genetic variance for height and BMI, respectively, reflect population genetic differences. Population genetic divergence differed significantly from that in a null model (height, P < 3.94 × 10−8; BMI, P < 5.95 × 10−4), and we find an among-population genetic correlation for tall and slender individuals (r = −0.80, 95% CI = −0.95, −0.60), consistent with correlated selection for both phenotypes. Observed differences in height among populations reflected the predicted genetic means (r = 0.51; P < 0.001), but environmental differences across Europe masked genetic differentiation for BMI (P < 0.58).


European Journal of Human Genetics | 2013

Genetic characterization of northeastern Italian population isolates in the context of broader European genetic diversity

Tonu Esko; Massimo Mezzavilla; Mari Nelis; Christelle Borel; Tadeusz Dębniak; Eveliina Jakkula; Antonio Julià; Sena Karachanak; Andrey Khrunin; Péter Kisfali; Veronika Krulisova; Zita Ausrele Kucinskiene; Karola Rehnström; Michela Traglia; Liene Nikitina-Zake; Fritz Zimprich; Xavier Estivill; Damjan Glavač; Ivo Gut; Janis Klovins; Michael Krawczak; Vaidutis Kučinskas; Mark Lathrop; Milan Macek; Sara Marsal; Thomas Meitinger; Béla Melegh; S. A. Limborska; Jan Lubinski; Aarno Paolotie

Population genetic studies on European populations have highlighted Italy as one of genetically most diverse regions. This is possibly due to the country’s complex demographic history and large variability in terrain throughout the territory. This is the reason why Italy is enriched for population isolates, Sardinia being the best-known example. As the population isolates have a great potential in disease-causing genetic variants identification, we aimed to genetically characterize a region from northeastern Italy, which is known for isolated communities. Total of 1310 samples, collected from six geographically isolated villages, were genotyped at >145 000 single-nucleotide polymorphism positions. Newly genotyped data were analyzed jointly with the available genome-wide data sets of individuals of European descent, including several population isolates. Despite the linguistic differences and geographical isolation the village populations still show the greatest genetic similarity to other Italian samples. The genetic isolation and small effective population size of the village populations is manifested by higher levels of genomic homozygosity and elevated linkage disequilibrium. These estimates become even more striking when the detected substructure is taken into account. The observed level of genetic isolation in Friuli-Venezia Giulia region is more extreme according to several measures of isolation compared with Sardinians, French Basques and northern Finns, thus proving the status of an isolate.


Nature Communications | 2014

Genetic characterization of Greek population isolates reveals strong genetic drift at missense and trait-associated variants

Kalliope Panoutsopoulou; Konstantinos Hatzikotoulas; Dionysia K. Xifara; Vincenza Colonna; Aliki-Eleni Farmaki; Graham R. S. Ritchie; Lorraine Southam; Arthur Gilly; Ioanna Tachmazidou; Segun Fatumo; Angela Matchan; Nigel W. Rayner; Ioanna Ntalla; Massimo Mezzavilla; Yuan Chen; Chrysoula Kiagiadaki; Eleni Zengini; Vasiliki Mamakou; Antonis Athanasiadis; Margarita Giannakopoulou; Vassiliki-Eirini Kariakli; Rebecca N. Nsubuga; Alex Karabarinde; Manjinder S. Sandhu; Gil McVean; Chris Tyler-Smith; Emmanouil Tsafantakis; Maria Karaleftheri; Yali Xue; George Dedoussis

Isolated populations are emerging as a powerful study design in the search for low-frequency and rare variant associations with complex phenotypes. Here we genotype 2,296 samples from two isolated Greek populations, the Pomak villages (HELIC-Pomak) in the North of Greece and the Mylopotamos villages (HELIC-MANOLIS) in Crete. We compare their genomic characteristics to the general Greek population and establish them as genetic isolates. In the MANOLIS cohort, we observe an enrichment of missense variants among the variants that have drifted up in frequency by more than fivefold. In the Pomak cohort, we find novel associations at variants on chr11p15.4 showing large allele frequency increases (from 0.2% in the general Greek population to 4.6% in the isolate) with haematological traits, for example, with mean corpuscular volume (rs7116019, P=2.3 × 10−26). We replicate this association in a second set of Pomak samples (combined P=2.0 × 10−36). We demonstrate significant power gains in detecting medical trait associations.


Investigative Genetics | 2015

Early modern human dispersal from Africa: genomic evidence for multiple waves of migration

Francesca Tassi; Silvia Ghirotto; Massimo Mezzavilla; Sibelle Torres Vilaça; Lisa De Santi; Guido Barbujani

BackgroundAnthropological and genetic data agree in indicating the African continent as the main place of origin for anatomically modern humans. However, it is unclear whether early modern humans left Africa through a single, major process, dispersing simultaneously over Asia and Europe, or in two main waves, first through the Arab Peninsula into southern Asia and Oceania, and later through a northern route crossing the Levant.ResultsHere, we show that accurate genomic estimates of the divergence times between European and African populations are more recent than those between Australo-Melanesia and Africa and incompatible with the effects of a single dispersal. This difference cannot possibly be accounted for by the effects of either hybridization with archaic human forms in Australo-Melanesia or back migration from Europe into Africa. Furthermore, in several populations of Asia we found evidence for relatively recent genetic admixture events, which could have obscured the signatures of the earliest processes.ConclusionsWe conclude that the hypothesis of a single major human dispersal from Africa appears hardly compatible with the observed historical and geographical patterns of genome diversity and that Australo-Melanesian populations seem still to retain a genomic signature of a more ancient divergence from Africa


Scientific Reports | 2016

Global diversity in the TAS2R38 bitter taste receptor: revisiting a classic evolutionary PROPosal

Davide Risso; Massimo Mezzavilla; Luca Pagani; Antonietta Robino; Sergio Tofanelli; Maura Carrai; Daniele Campa; Roberto Barale; Fabio Caradonna; Paolo Gasparini; Donata Luiselli; Stephen Wooding; Dennis Drayna

The ability to taste phenylthiocarbamide (PTC) and 6-n-propylthiouracil (PROP) is a polymorphic trait mediated by the TAS2R38 bitter taste receptor gene. It has long been hypothesized that global genetic diversity at this locus evolved under pervasive pressures from balancing natural selection. However, recent high-resolution population genetic studies of TAS2Rs suggest that demographic events have played a critical role in the evolution of these genes. We here utilized the largest TAS2R38 database yet analyzed, consisting of 5,589 individuals from 105 populations, to examine natural selection, haplotype frequencies and linkage disequilibrium to estimate the effects of both selection and demography on contemporary patterns of variation at this locus. We found signs of an ancient balancing selection acting on this gene but no post Out-Of-Africa departures from neutrality, implying that the current observed patterns of variation can be predominantly explained by demographic, rather than selective events. In addition, we found signatures of ancient selective forces acting on different African TAS2R38 haplotypes. Collectively our results provide evidence for a relaxation of recent selective forces acting on this gene and a revised hypothesis for the origins of the present-day worldwide distribution of TAS2R38 haplotypes.


BMC Bioinformatics | 2013

High variance in reproductive success generates a false signature of a genetic bottleneck in populations of constant size: a simulation study

Sean Hoban; Massimo Mezzavilla; Oscar E. Gaggiotti; Andrea Benazzo; Cock van Oosterhout; Giorgio Bertorelle

BackgroundDemographic bottlenecks can severely reduce the genetic variation of a population or a species. Establishing whether low genetic variation is caused by a bottleneck or a constantly low effective number of individuals is important to understand a species’ ecology and evolution, and it has implications for conservation management. Recent studies have evaluated the power of several statistical methods developed to identify bottlenecks. However, the false positive rate, i.e. the rate with which a bottleneck signal is misidentified in demographically stable populations, has received little attention. We analyse this type of error (type I) in forward computer simulations of stable populations having greater than Poisson variance in reproductive success (i.e., variance in family sizes). The assumption of Poisson variance underlies bottleneck tests, yet it is commonly violated in species with high fecundity.ResultsWith large variance in reproductive success (Vk ≥ 40, corresponding to a ratio between effective and census size smaller than 0.1), tests based on allele frequencies, allelic sizes, and DNA sequence polymorphisms (heterozygosity excess, M-ratio, and Tajima’s D test) tend to show erroneous signals of a bottleneck. Similarly, strong evidence of population decline is erroneously detected when ancestral and current population sizes are estimated with the model based method MSVAR.ConclusionsOur results suggest caution when interpreting the results of bottleneck tests in species showing high variance in reproductive success. Particularly in species with high fecundity, computer simulations are recommended to confirm the occurrence of a population bottleneck.


American Journal of Human Genetics | 2015

The Kalash Genetic Isolate: Ancient Divergence, Drift, and Selection

Qasim Ayub; Massimo Mezzavilla; Luca Pagani; Marc Haber; Aisha Mohyuddin; Shagufta Khaliq; Syed Qasim Mehdi; Chris Tyler-Smith

The Kalash represent an enigmatic isolated population of Indo-European speakers who have been living for centuries in the Hindu Kush mountain ranges of present-day Pakistan. Previous Y chromosome and mitochondrial DNA markers provided no support for their claimed Greek descent following Alexander III of Macedons invasion of this region, and analysis of autosomal loci provided evidence of a strong genetic bottleneck. To understand their origins and demography further, we genotyped 23 unrelated Kalash samples on the Illumina HumanOmni2.5M-8 BeadChip and sequenced one male individual at high coverage on an Illumina HiSeq 2000. Comparison with published data from ancient hunter-gatherers and European farmers showed that the Kalash share genetic drift with the Paleolithic Siberian hunter-gatherers and might represent an extremely drifted ancient northern Eurasian population that also contributed to European and Near Eastern ancestry. Since the split from other South Asian populations, the Kalash have maintained a low long-term effective population size (2,319–2,603) and experienced no detectable gene flow from their geographic neighbors in Pakistan or from other extant Eurasian populations. The mean time of divergence between the Kalash and other populations currently residing in this region was estimated to be 11,800 (95% confidence interval = 10,600−12,600) years ago, and thus they represent present-day descendants of some of the earliest migrants into the Indian sub-continent from West Asia.


PLOS ONE | 2014

A Population-Based Approach to Study the Impact of PROP Perception on Food Liking in Populations along the Silk Road

Antonietta Robino; Massimo Mezzavilla; Nicola Pirastu; Maddalena Dognini; Beverly J. Tepper; Paolo Gasparini

Taste is one of the main factors determining food choices. Differences in PROP bitter taste perception have been implicated in individual differences in food preferences and selection. The present study examined associations between, PROP phenotypes, self-reported food liking and TAS2R38 polymorphisms, the major gene implicated in PROP bitterness, in six different populations of the Caucasus and Central Asia, located along the ancient Silk Road. Differences in the distribution of PROP phenotypes across populations were detected, with a higher frequency of super tasters in Tajikistan (31.3%) and Armenia (39.0%) and a higher frequency of non tasters in Georgia (50.9%). While no relationships were observed between PROP phenotypes and food liking using standard statistical tests, we used an approach based on comparison of distance matrices derived from these data. The first matrix compared the food liking ratings of each population to all others pairwise using the Kruskal-Wallis test (at p<0.00063), and the second one compared the distribution of PROP phenotypes across all populations in a similar manner calculating the chi-square statistic as a distance measure. A strong correlation between the two matrices was found (Mantel test: r = 0.67, p-value = 0.03), suggesting that the pattern of food liking across populations was closely related to the distribution of PROP phenotypes. This same relationship was not observed when TAS2R38 genotypes were substituted for PROP phenotypes in this analysis. Our data suggest that a population-based approach utilizing distance matrices is a useful technique for detecting PROP-related differences in food liking and can be applied to other taste phenotypes.


BMC Genetics | 2014

Genetic landscape of populations along the Silk Road: admixture and migration patterns

Massimo Mezzavilla; Diego Vozzi; Nicola Pirastu; Giorgia Girotto; Pio D’Adamo; Paolo Gasparini; Vincenza Colonna

BackgroundThe ancient Silk Road has been a trading route between Europe and Central Asia from the 2nd century BCE to the 15th century CE. While most populations on this route have been characterized, the genetic background of others remains poorly understood, and little is known about past migration patterns. The scientific expedition “Marco Polo” has recently collected genetic and phenotypic data in six regions (Georgia, Armenia, Azerbaijan, Uzbekistan, Kazakhstan, Tajikistan) along the Silk Road to study the genetics of a number of phenotypes.ResultsWe characterized the genetic structure of these populations within a worldwide context. We observed a West-East subdivision albeit the existence of a genetic component shared within Central Asia and nearby populations from Europe and Near East. We observed a contribution of up to 50% from Europe and Asia to most of the populations that have been analyzed. The contribution from Asia dates back to ~25 generations and is limited to the Eastern Silk Road. Time and direction of this contribution are consistent with the Mongolian expansion era.ConclusionsWe clarified the genetic structure of six populations from Central Asia and suggested a complex pattern of gene flow among them. We provided a map of migration events in time and space and we quantified exchanges among populations. Altogether these novel findings will support the future studies aimed at understanding the genetics of the phenotypes that have been collected during the Marco Polo campaign, they will provide insights into the history of these populations, and they will be useful to reconstruct the developments and events that have shaped modern Eurasians genomes.

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Chris Tyler-Smith

Wellcome Trust Sanger Institute

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Yali Xue

Wellcome Trust Sanger Institute

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Marc Haber

Wellcome Trust Sanger Institute

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Qasim Ayub

Wellcome Trust Sanger Institute

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Pierre Zalloua

Lebanese American University

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Dennis Drayna

National Institutes of Health

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