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Turi E. King

Bio: Turi E. King is an academic researcher from University of Leicester. The author has contributed to research in topics: Haplogroup & Population. The author has an hindex of 21, co-authored 33 publications receiving 1731 citations.

Papers
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Journal ArticleDOI
TL;DR: Most present-day European men inherited their Y chromosomes from the farmers who spread from the Near East 10,000 years ago, rather than from the hunter-gatherers of the Paleolithic.
Abstract: The relative contributions to modern European populations of Paleolithic hunter-gatherers and Neolithic farmers from the Near East have been intensely debated. Haplogroup R1b1b2 (R-M269) is the commonest European Y-chromosomal lineage, increasing in frequency from east to west, and carried by 110 million European men. Previous studies suggested a Paleolithic origin, but here we show that the geographical distribution of its microsatellite diversity is best explained by spread from a single source in the Near East via Anatolia during the Neolithic. Taken with evidence on the origins of other haplogroups, this indicates that most European Y chromosomes originate in the Neolithic expansion. This reinterpretation makes Europe a prime example of how technological and cultural change is linked with the expansion of a Y-chromosomal lineage, and the contrast of this pattern with that shown by maternally inherited mitochondrial DNA suggests a unique role for males in the transition.

223 citations

Journal ArticleDOI
TL;DR: Combining molecular genetics and surname analysis illuminates population structure and history, has potential applications in forensic studies and, in the form of 'genetic genealogy', is an area of rapidly growing interest for the public.

163 citations

Journal ArticleDOI
TL;DR: DNA analyses of both the skeletal remains and living relatives of Richard III find a perfect mitochondrial DNA match between the sequence obtained from the remains and one living relative, and a single-base substitution when compared with a second relative.
Abstract: In 2012, a skeleton was excavated at the presumed site of the Grey Friars friary in Leicester, the last-known resting place of King Richard III. Archaeological, osteological and radiocarbon dating data were consistent with these being his remains. Here we report DNA analyses of both the skeletal remains and living relatives of Richard III. We find a perfect mitochondrial DNA match between the sequence obtained from the remains and one living relative, and a single-base substitution when compared with a second relative. Y-chromosome haplotypes from male-line relatives and the remains do not match, which could be attributed to a false-paternity event occurring in any of the intervening generations. DNA-predicted hair and eye colour are consistent with Richard's appearance in an early portrait. We calculate likelihood ratios for the non-genetic and genetic data separately, and combined, and conclude that the evidence for the remains being those of Richard III is overwhelming.

161 citations

Journal ArticleDOI
Kaye N. Ballantyne1, Kaye N. Ballantyne2, Arwin Ralf2, Rachid Aboukhalid, Niaz M. Achakzai3, Maria João Anjos4, Qasim Ayub5, Jože Balažic6, Jack Ballantyne7, David Ballard8, Burkhard Berger9, Cecilia Bobillo10, Mehdi Bouabdellah, Helen Burri11, Tomas Capal, Stefano Caratti12, Jorge Cárdenas13, François Cartault, Elizeu Fagundes de Carvalho14, Mónica Carvalho4, Baowen Cheng, Michael D. Coble15, David Comas16, Daniel Corach10, Maria Eugenia D’Amato17, Sean Davison17, Peter de Knijff18, Maria Corazon A. De Ungria19, Ronny Decorte20, Tadeusz Dobosz21, Berit Myhre Dupuy22, Samir Elmrghni23, Mateusz Gliwiński24, Sara C Gomes25, Laurens J. W. Grol26, Cordula Haas11, Erin K. Hanson7, Jürgen Henke, Lotte Henke, Fabiola Herrera-Rodríguez, Carolyn R. Hill15, Gunilla Holmlund27, Katsuya Honda28, Uta-Dorothee Immel29, Shota Inokuchi30, Mark A. Jobling31, Mahmoud Kaddura23, Jong S Kim, Soon H Kim, Wook Kim32, Turi E. King31, Eva Klausriegler33, Daniel Kling22, Lejla Kovacevic34, Leda Kovatsi35, Paweł Krajewski36, S. A. Kravchenko, Maarten Larmuseau20, Eun Young Lee37, R. Lessig29, L. A. Livshits, Damir Marjanović34, Marek Minarik, Natsuko Mizuno30, Helena Moreira38, Niels Morling39, Meeta Mukherjee40, Patrick Munier, Javaregowda Nagaraju41, Franz Neuhuber33, Shengjie Nie42, Premlaphat Nilasitsataporn43, Takeki Nishi28, Hye H Oh, Jill K. Olofsson39, Valerio Onofri44, Jukka U. Palo45, Horolma Pamjav, Walther Parson9, Walther Parson46, Michal Petlach, Christopher Phillips13, Rafał Płoski36, Samayamantri P. R. Prasad41, Dragan Primorac47, Dragan Primorac48, Dragan Primorac46, Gludhug A. Purnomo49, Josephine Purps50, Héctor Rangel-Villalobos51, Krzysztof Rębała24, Budsaba Rerkamnuaychoke52, Danel Rey Gonzalez13, Carlo Robino12, Lutz Roewer50, Alexandra Rosa25, Antti Sajantila45, Antti Sajantila53, Andrea Sala10, Jazelyn M. Salvador19, Paula Sanz16, C. Schmitt54, Anil Kumar Sharma40, Dayse A. Silva14, Kyoung Jin Shin37, Titia Sijen26, M. Sirker54, Daniela Siváková55, Vedrana Škaro, Carlos Solano-Matamoros56, L. Souto38, Vlastimil Stenzl, Herawati Sudoyo49, Denise Syndercombe-Court8, Adriano Tagliabracci44, Duncan Taylor57, Andreas O. Tillmar27, Iosif S. Tsybovsky, Chris Tyler-Smith5, Kristiaan J. van der Gaag18, Daniel Vanek58, Antónia Völgyi, Denise Ward, Patricia Willemse18, Eric P.H. Yap59, Rita Y.Y. Yong59, Irena Zupanič Pajnič6, Manfred Kayser2 
Victoria Police1, Erasmus University Rotterdam2, University of the Punjab3, American Board of Legal Medicine4, Wellcome Trust Sanger Institute5, University of Ljubljana6, University of Central Florida7, King's College London8, Innsbruck Medical University9, University of Buenos Aires10, University of Zurich11, University of Turin12, University of Santiago de Compostela13, Rio de Janeiro State University14, National Institute of Standards and Technology15, Pompeu Fabra University16, University of the Western Cape17, Leiden University Medical Center18, University of the Philippines Diliman19, Katholieke Universiteit Leuven20, Wrocław Medical University21, Norwegian Institute of Public Health22, University of Benghazi23, Gdańsk Medical University24, University of Madeira25, Netherlands Forensic Institute26, Linköping University27, University of Tsukuba28, Martin Luther University of Halle-Wittenberg29, National Research Institute of Police Science30, University of Leicester31, Dankook University32, University of Salzburg33, University of Sarajevo34, Aristotle University of Thessaloniki35, Medical University of Warsaw36, Yonsei University37, University of Aveiro38, University of Copenhagen39, Central Forensic Science Laboratory40, Centre for DNA Fingerprinting and Diagnostics41, Kunming Medical University42, Royal Thai Police43, Marche Polytechnic University44, University of Helsinki45, Pennsylvania State University46, University of New Haven47, Josip Juraj Strossmayer University of Osijek48, Eijkman Institute for Molecular Biology49, Charité50, University of Guadalajara51, Mahidol University52, University of North Texas Health Science Center53, University of Cologne54, Comenius University in Bratislava55, University of Costa Rica56, Flinders University57, Charles University in Prague58, DSO National Laboratories59
TL;DR: The value of RM Y‐STRs in identifying and separating unrelated and related males and providing a reference database is demonstrated and the value of Y‐ STRs relative to Yfiler is demonstrated.
Abstract: Relevant for various areas of human genetics, Y-chromosomal short tandem repeats (Y-STRs) are commonly used for testing close paternal relationships among individuals and populations, and for male lineage identification. However, even the widely used 17-loci Yfiler set cannot resolve individuals and populations completely. Here, 52 centers generated quality-controlled data of 13 rapidly mutating (RM) Y-STRs in 14,644 related and unrelated males from 111 worldwide populations. Strikingly, >99% of the 12,272 unrelated males were completely individualized. Haplotype diversity was extremely high (global: 0.9999985, regional: 0.99836–0.9999988). Haplotype sharing between populations was almost absent except for six (0.05%) of the 12,156 haplotypes. Haplotype sharing within populations was generally rare (0.8% nonunique haplotypes), significantly lower in urban (0.9%) than rural (2.1%) and highest in endogamous groups (14.3%). Analysis of molecular variance revealed 99.98% of variation within populations, 0.018% among populations within groups, and 0.002% among groups. Of the 2,372 newly and 156 previously typed male relative pairs, 29% were differentiated including 27% of the 2,378 father–son pairs. Relative to Yfiler, haplotype diversity was increased in 86% of the populations tested and overall male relative differentiation was raised by 23.5%. Our study demonstrates the value of RM Y-STRs in identifying and separating unrelated and related males and provides a reference database.

155 citations

Journal ArticleDOI
TL;DR: The sequencing of 3.7 Mb of MSY in each of 448 human males at a mean coverage of 51× yields 13,261 high-confidence SNPs, 65.9% of which are previously unreported, and constitutes a robust evolutionary framework for analyzing the history of other classes of mutation.
Abstract: Many studies of human populations have used the male-specific region of the Y chromosome (MSY) as a marker, but MSY sequence variants have traditionally been subject to ascertainment bias. Also, dating of haplogroups has relied on Y-specific short tandem repeats (STRs), involving problems of mutation rate choice, and possible long-term mutation saturation. Next-generation sequencing can ascertain single nucleotide polymorphisms (SNPs) in an unbiased way, leading to phylogenies in which branch-lengths are proportional to time, and allowing the times-to-most-recent-common-ancestor (TMRCAs) of nodes to be estimated directly. Here we describe the sequencing of 3.7 Mb of MSY in each of 448 human males at a mean coverage of 51×, yielding 13,261 high-confidence SNPs, 65.9% of which are previously unreported. The resulting phylogeny covers the majority of the known clades, provides date estimates of nodes, and constitutes a robust evolutionary framework for analyzing the history of other classes of mutation. Different clades within the tree show subtle but significant differences in branch lengths to the root. We also apply a set of 23 Y-STRs to the same samples, allowing SNP- and STR-based diversity and TMRCA estimates to be systematically compared. Ongoing purifying selection is suggested by our analysis of the phylogenetic distribution of nonsynonymous variants in 15 MSY single-copy genes.

145 citations


Cited by
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Journal Article
Fumio Tajima1
30 Oct 1989-Genomics
TL;DR: It is suggested that the natural selection against large insertion/deletion is so weak that a large amount of variation is maintained in a population.

11,521 citations

Christopher M. Bishop1
01 Jan 2006
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Abstract: Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

10,141 citations

Journal ArticleDOI
28 Oct 2010-Nature
TL;DR: The 1000 Genomes Project aims to provide a deep characterization of human genome sequence variation as a foundation for investigating the relationship between genotype and phenotype as mentioned in this paper, and the results of the pilot phase of the project, designed to develop and compare different strategies for genomewide sequencing with high-throughput platforms.
Abstract: The 1000 Genomes Project aims to provide a deep characterization of human genome sequence variation as a foundation for investigating the relationship between genotype and phenotype. Here we present results of the pilot phase of the project, designed to develop and compare different strategies for genome-wide sequencing with high-throughput platforms. We undertook three projects: low-coverage whole-genome sequencing of 179 individuals from four populations; high-coverage sequencing of two mother-father-child trios; and exon-targeted sequencing of 697 individuals from seven populations. We describe the location, allele frequency and local haplotype structure of approximately 15 million single nucleotide polymorphisms, 1 million short insertions and deletions, and 20,000 structural variants, most of which were previously undescribed. We show that, because we have catalogued the vast majority of common variation, over 95% of the currently accessible variants found in any individual are present in this data set. On average, each person is found to carry approximately 250 to 300 loss-of-function variants in annotated genes and 50 to 100 variants previously implicated in inherited disorders. We demonstrate how these results can be used to inform association and functional studies. From the two trios, we directly estimate the rate of de novo germline base substitution mutations to be approximately 10(-8) per base pair per generation. We explore the data with regard to signatures of natural selection, and identify a marked reduction of genetic variation in the neighbourhood of genes, due to selection at linked sites. These methods and public data will support the next phase of human genetic research.

7,538 citations

01 Jan 2010
TL;DR: In this paper, the authors show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait, revealing patterns with important implications for genetic studies of common human diseases and traits.
Abstract: Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits, but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P < 0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented among variants that alter amino-acid structure of proteins and expression levels of nearby genes. Our data explain approximately 10% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to approximately 16% of phenotypic variation (approximately 20% of heritable variation). Although additional approaches are needed to dissect the genetic architecture of polygenic human traits fully, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.

1,751 citations

Journal ArticleDOI
01 Oct 1980

1,565 citations