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Dive into the research topics where Oscar Lao is active.

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Featured researches published by Oscar Lao.


Current Biology | 2008

Correlation between Genetic and Geographic Structure in Europe

Oscar Lao; Timothy Lu; Michael Nothnagel; Olaf Junge; Sandra Freitag-Wolf; Amke Caliebe; Miroslava Balascakova; Jaume Bertranpetit; Laurence A. Bindoff; David Comas; Gunilla Holmlund; Anastasia Kouvatsi; Milan Macek; Isabelle Mollet; Walther Parson; Jukka U. Palo; Rafał Płoski; Antti Sajantila; Adriano Tagliabracci; Ulrik Gether; Thomas Werge; Fernando Rivadeneira; Albert Hofman; André G. Uitterlinden; Christian Gieger; Heinz-Erich Wichmann; Andreas Rüther; Stefan Schreiber; Christian Becker; Peter Nürnberg

Understanding the genetic structure of the European population is important, not only from a historical perspective, but also for the appropriate design and interpretation of genetic epidemiological studies. Previous population genetic analyses with autosomal markers in Europe either had a wide geographic but narrow genomic coverage [1, 2], or vice versa [3-6]. We therefore investigated Affymetrix GeneChip 500K genotype data from 2,514 individuals belonging to 23 different subpopulations, widely spread over Europe. Although we found only a low level of genetic differentiation between subpopulations, the existing differences were characterized by a strong continent-wide correlation between geographic and genetic distance. Furthermore, mean heterozygosity was larger, and mean linkage disequilibrium smaller, in southern as compared to northern Europe. Both parameters clearly showed a clinal distribution that provided evidence for a spatial continuity of genetic diversity in Europe. Our comprehensive genetic data are thus compatible with expectations based upon European population history, including the hypotheses of a south-north expansion and/or a larger effective population size in southern than in northern Europe. By including the widely used CEPH from Utah (CEU) samples into our analysis, we could show that these individuals represent northern and western Europeans reasonably well, thereby confirming their assumed regional ancestry.


American Journal of Human Genetics | 2010

Mutability of Y-chromosomal microsatellites: rates, characteristics, molecular bases, and forensic implications.

Kaye N. Ballantyne; Miriam Goedbloed; Rixun Fang; Onno Schaap; Oscar Lao; Andreas Wollstein; Ying Choi; Kate van Duijn; Mark Vermeulen; Silke Brauer; Ronny Decorte; Micaela Poetsch; Nicole von Wurmb-Schwark; Peter de Knijff; Damian Labuda; Hélène Vézina; Hans Knoblauch; Rüdiger Lessig; Lutz Roewer; Rafał Płoski; Tadeusz Dobosz; Lotte Henke; Jürgen Henke; Manohar R. Furtado; Manfred Kayser

Nonrecombining Y-chromosomal microsatellites (Y-STRs) are widely used to infer population histories, discover genealogical relationships, and identify males for criminal justice purposes. Although a key requirement for their application is reliable mutability knowledge, empirical data are only available for a small number of Y-STRs thus far. To rectify this, we analyzed a large number of 186 Y-STR markers in nearly 2000 DNA-confirmed father-son pairs, covering an overall number of 352,999 meiotic transfers. Following confirmation by DNA sequence analysis, the retrieved mutation data were modeled via a Bayesian approach, resulting in mutation rates from 3.78 × 10(-4) (95% credible interval [CI], 1.38 × 10(-5) - 2.02 × 10(-3)) to 7.44 × 10(-2) (95% CI, 6.51 × 10(-2) - 9.09 × 10(-2)) per marker per generation. With the 924 mutations at 120 Y-STR markers, a nonsignificant excess of repeat losses versus gains (1.16:1), as well as a strong and significant excess of single-repeat versus multirepeat changes (25.23:1), was observed. Although the total repeat number influenced Y-STR locus mutability most strongly, repeat complexity, the length in base pairs of the repeated motif, and the fathers age also contributed to Y-STR mutability. To exemplify how to practically utilize this knowledge, we analyzed the 13 most mutable Y-STRs in an independent sample set and empirically proved their suitability for distinguishing close and distantly related males. This finding is expected to revolutionize Y-chromosomal applications in forensic biology, from previous male lineage differentiation toward future male individual identification.


American Journal of Human Genetics | 2008

Three Genome-wide Association Studies and a Linkage Analysis Identify HERC2 as a Human Iris Color Gene

Manfred Kayser; Fan Liu; A. Cecile J. W. Janssens; Fernando Rivadeneira; Oscar Lao; Kate van Duijn; Mark Vermeulen; Pascal P. Arp; Mila Jhamai; Wilfred van IJcken; Johan T. den Dunnen; Simon Heath; Diana Zelenika; Dominiek D. G. Despriet; C. C. W. Klaver; Johannes R. Vingerling; Paulus T. V. M. de Jong; Albert Hofman; Yurii S. Aulchenko; André G. Uitterlinden; Ben A. Oostra; Cornelia van Duijn

Human iris color was one of the first traits for which Mendelian segregation was established. To date, the genetics of iris color is still not fully understood and is of interest, particularly in view of forensic applications. In three independent genome-wide association (GWA) studies of a total of 1406 persons and a genome-wide linkage study of 1292 relatives, all from the Netherlands, we found that the 15q13.1 region is the predominant region involved in human iris color. There were no other regions showing consistent genome-wide evidence for association and linkage to iris color. Single nucleotide polymorphisms (SNPs) in the HERC2 gene and, to a lesser extent, in the neighboring OCA2 gene were independently associated to iris color variation. OCA2 has been implicated in iris color previously. A replication study within two populations confirmed that the HERC2 gene is a new and significant determinant of human iris color variation, in addition to OCA2. Furthermore, HERC2 rs916977 showed a clinal allele distribution across 23 European populations, which was significantly correlated to iris color variation. We suggest that genetic variants regulating expression of the OCA2 gene exist in the HERC2 gene or, alternatively, within the 11.7 kb of sequence between OCA2 and HERC2, and that most iris color variation in Europeans is explained by those two genes. Testing markers in the HERC2-OCA2 region may be useful in forensic applications to predict eye color phenotypes of unknown persons of European genetic origin.


PLOS Genetics | 2012

A Genome-Wide Association Study Identifies Five Loci Influencing Facial Morphology in Europeans

Fan Liu; Fedde van der Lijn; Gu Zhu; M. Mallar Chakravarty; Pirro G. Hysi; Andreas Wollstein; Oscar Lao; Marleen de Bruijne; M. Arfan Ikram; Aad van der Lugt; Fernando Rivadeneira; André G. Uitterlinden; Albert Hofman; Wiro J. Niessen; Georg Homuth; Greig I. de Zubicaray; Katie L. McMahon; Paul M. Thompson; Amro Daboul; Ralf Puls; Katrin Hegenscheid; Liisa Bevan; Zdenka Pausova; Sarah E. Medland; Grant W. Montgomery; Margaret J. Wright; Carol Wicking; Stefan Boehringer; Tim D. Spector; Tomáš Paus

Inter-individual variation in facial shape is one of the most noticeable phenotypes in humans, and it is clearly under genetic regulation; however, almost nothing is known about the genetic basis of normal human facial morphology. We therefore conducted a genome-wide association study for facial shape phenotypes in multiple discovery and replication cohorts, considering almost ten thousand individuals of European descent from several countries. Phenotyping of facial shape features was based on landmark data obtained from three-dimensional head magnetic resonance images (MRIs) and two-dimensional portrait images. We identified five independent genetic loci associated with different facial phenotypes, suggesting the involvement of five candidate genes—PRDM16, PAX3, TP63, C5orf50, and COL17A1—in the determination of the human face. Three of them have been implicated previously in vertebrate craniofacial development and disease, and the remaining two genes potentially represent novel players in the molecular networks governing facial development. Our finding at PAX3 influencing the position of the nasion replicates a recent GWAS of facial features. In addition to the reported GWA findings, we established links between common DNA variants previously associated with NSCL/P at 2p21, 8q24, 13q31, and 17q22 and normal facial-shape variations based on a candidate gene approach. Overall our study implies that DNA variants in genes essential for craniofacial development contribute with relatively small effect size to the spectrum of normal variation in human facial morphology. This observation has important consequences for future studies aiming to identify more genes involved in the human facial morphology, as well as for potential applications of DNA prediction of facial shape such as in future forensic applications.


Annals of Human Genetics | 2007

Signatures of positive selection in genes associated with human skin pigmentation as revealed from analyses of single nucleotide polymorphisms.

Oscar Lao; J. M. de Gruijter; K. van Duijn; A. Navarro; Manfred Kayser

Phenotypic variation between human populations in skin pigmentation correlates with latitude at the continental level. A large number of hypotheses involving genetic adaptation have been proposed to explain human variation in skin colour, but only limited genetic evidence for positive selection has been presented. To shed light on the evolutionary genetic history of human variation in skin colour we inspected 118 genes associated with skin pigmentation in the Perlegen dataset, studying single nucleotide polymorphisms (SNPs), and analyzed 55 genes in detail. We identified eight genes that are associated with the melanin pathway (SLC45A2, OCA2, TYRP1, DCT, KITLG, EGFR, DRD2 and PPARD) and presented significant differences in genetic variation between Europeans, Africans and Asians. In six of these genes we detected, by means of the EHH test, variability patterns that are compatible with the hypothesis of local positive selection in Europeans (OCA2, TYRP1 and KITLG) and in Asians (OCA2, DCT, KITLG, EGFR and DRD2), whereas signals were scarce in Africans (DCT, EGFR and DRD2). Furthermore, a statistically significant correlation between genotypic variation in four pigmentation candidate genes and phenotypic variation of skin colour in 51 worldwide human populations was revealed. Overall, our data also suggest that light skin colour is the derived state and is of independent origin in Europeans and Asians, whereas dark skin color seems of unique origin, reflecting the ancestral state in humans.


European Journal of Human Genetics | 2004

Admixture, migrations, and dispersals in Central Asia: evidence from maternal DNA lineages

David Comas; Stéphanie Plaza; R. Spencer Wells; Nadira Yuldaseva; Oscar Lao; Francesc Calafell; Jaume Bertranpetit

Mitochondrial DNA (mtDNA) lineages of 232 individuals from 12 Central Asian populations were sequenced for both control region hypervariable segments, and additional informative sites in the coding region were also determined. Most of the mtDNA lineages belong to branches of the haplogroups with an eastern Eurasian (A, B, C, D, F, G, Y, and M haplogroups) or a western Eurasian (HV, JT, UK, I, W, and N haplogroups) origin, with a small fraction of Indian M lineages. This suggests that the extant genetic variation found in Central Asia is the result of admixture of already differentiated populations from eastern and western Eurasia. Nonetheless, two groups of lineages, D4c and G2a, seem to have expanded from Central Asia and might have their Y-chromosome counterpart in lineages belonging to haplotype P(xR1a). The present results suggest that the mtDNA found out of Africa might be the result of a maturation phase, presumably in the Middle East or eastern Africa, that led to haplogroups M and N, and subsequently expanded into Eurasia, yielding a geographically structured group of external branches of these two haplogroups in western and eastern Eurasia, Central Asia being a contact zone between two differentiated groups of peoples.


Current Biology | 2010

Demographic history of Oceania inferred from genome-wide data

Andreas Wollstein; Oscar Lao; Christian Becker; Silke Brauer; Ronald J. Trent; Peter Nürnberg; Mark Stoneking; Manfred Kayser

BACKGROUND The human history of Oceania comprises two extremes: the initial colonizations of Near Oceania, one of the oldest out-of-Africa migrations, and of Remote Oceania, the most recent expansion into unoccupied territories. Genetic studies, mostly using uniparentally inherited DNA, have shed some light on human origins in Oceania, particularly indicating that Polynesians are of mixed East Asian and Near Oceanian ancestry. Here, we use ∼1 million single nucleotide polymorphisms (SNPs) to investigate the demographic history of Oceania in a more detailed manner. RESULTS We developed a new approach to account for SNP ascertainment bias, used approximate Bayesian computation simulations to choose the best-fitting model of population history, and estimated demographic parameters. We find that the ancestors of Near Oceanians diverged from ancestral Eurasians ∼27 thousand years ago (kya), suggesting separate initial occupations of both territories. The genetic admixture in Polynesian history between East Asians (∼87%) and Near Oceanians (∼13%) occurred ∼3 kya, prior to the colonization of Polynesia. Fijians are of Polynesian (∼65%) and additional Near Oceanian (∼35%) ancestry not found in Polynesians, with this admixture occurring considerably after the initial settlement of Remote Oceania. Our data support a greater contribution of East Asian women than men in the admixture history of Remote Oceania and highlight population substructure in Polynesia and New Guinea. CONCLUSIONS Despite the inherent ascertainment bias, genome-wide SNP data provide new insights into the genetic history of Oceana. Our approach to correct for ascertainment bias and obtain reliable inferences concerning demographic history should prove useful in other such studies.


PLOS Genetics | 2010

Digital Quantification of Human Eye Color Highlights Genetic Association of Three New Loci

Fan Liu; Andreas Wollstein; Pirro G. Hysi; Georgina A. Ankra-Badu; Tim D. Spector; Daniel Park; Gu Zhu; Mats Larsson; David L. Duffy; Grant W. Montgomery; David A. Mackey; Susan Walsh; Oscar Lao; Albert Hofman; Fernando Rivadeneira; Johannes R. Vingerling; Andrew G. Uitterlinden; Nicholas G. Martin; Christopher J. Hammond; Manfred Kayser

Previous studies have successfully identified genetic variants in several genes associated with human iris (eye) color; however, they all used simplified categorical trait information. Here, we quantified continuous eye color variation into hue and saturation values using high-resolution digital full-eye photographs and conducted a genome-wide association study on 5,951 Dutch Europeans from the Rotterdam Study. Three new regions, 1q42.3, 17q25.3, and 21q22.13, were highlighted meeting the criterion for genome-wide statistically significant association. The latter two loci were replicated in 2,261 individuals from the UK and in 1,282 from Australia. The LYST gene at 1q42.3 and the DSCR9 gene at 21q22.13 serve as promising functional candidates. A model for predicting quantitative eye colors explained over 50% of trait variance in the Rotterdam Study. Over all our data exemplify that fine phenotyping is a useful strategy for finding genes involved in human complex traits.


International Journal of Legal Medicine | 2009

Comprehensive mutation analysis of 17 Y-chromosomal short tandem repeat polymorphisms included in the AmpFlSTR® Yfiler® PCR amplification kit

Miriam Goedbloed; Mark Vermeulen; Rixun N. Fang; Maria Lembring; Andreas Wollstein; Kaye N. Ballantyne; Oscar Lao; Silke Brauer; Carmen Krüger; Lutz Roewer; Rüdiger Lessig; Rafał Płoski; Tadeusz Dobosz; Lotte Henke; Jürgen Henke; Manohar R. Furtado; Manfred Kayser

The Y-chromosomal short tandem repeat (Y-STR) polymorphisms included in the AmpFlSTR® Yfiler® polymerase chain reaction amplification kit have become widely used for forensic and evolutionary applications where a reliable knowledge on mutation properties is necessary for correct data interpretation. Therefore, we investigated the 17 Yfiler Y-STRs in 1,730–1,764 DNA-confirmed father–son pairs per locus and found 84 sequence-confirmed mutations among the 29,792 meiotic transfers covered. Of the 84 mutations, 83 (98.8%) were single-repeat changes and one (1.2%) was a double-repeat change (ratio, 1:0.01), as well as 43 (51.2%) were repeat gains and 41 (48.8%) repeat losses (ratio, 1:0.95). Medians from Bayesian estimation of locus-specific mutation rates ranged from 0.0003 for DYS448 to 0.0074 for DYS458, with a median rate across all 17 Y-STRs of 0.0025. The mean age (at the time of son’s birth) of fathers with mutations was with 34.40 (±11.63) years higher than that of fathers without ones at 30.32 (±10.22) years, a difference that is highly statistically significant (p < 0.001). A Poisson-based modeling revealed that the Y-STR mutation rate increased with increasing father’s age on a statistically significant level (α = 0.0294, 2.5% quantile = 0.0001). From combining our data with those previously published, considering all together 135,212 meiotic events and 331 mutations, we conclude for the Yfiler Y-STRs that (1) none had a mutation rate of >1%, 12 had mutation rates of >0.1% and four of <0.1%, (2) single-repeat changes were strongly favored over multiple-repeat ones for all loci but 1 and (3) considerable variation existed among loci in the ratio of repeat gains versus losses. Our finding of three Y-STR mutations in one father–son pair (and two pairs with two mutations each) has consequences for determining the threshold of allelic differences to conclude exclusion constellations in future applications of Y-STRs in paternity testing and pedigree analyses.


Human Genetics | 2005

Significant genetic differentiation between Poland and Germany follows present-day political borders, as revealed by Y-chromosome analysis

Manfred Kayser; Oscar Lao; Katja Anslinger; Christa Augustin; Grazyna Bargel; Jeanett Edelmann; Sahar Elias; Marielle Heinrich; Jürgen Henke; Lotte Henke; Carsten Hohoff; Anett Illing; Anna Jonkisz; Piotr Kuzniar; Arleta Lebioda; Rüdiger Lessig; Slawomir Lewicki; Agnieszka Maciejewska; Dorota Monies; Ryszard Pawlowski; Micaela Poetsch; Dagmar Schmid; Ulrike Schmidt; Peter M. Schneider; Beate Stradmann-Bellinghausen; Reinhard Szibor; Rudolf Wegener; Marcin Wozniak; Magdalena Zoledziewska; Lutz Roewer

To test for human population substructure and to investigate human population history we have analysed Y-chromosome diversity using seven microsatellites (Y-STRs) and ten binary markers (Y-SNPs) in samples from eight regionally distributed populations from Poland (n=913) and 11 from Germany (n=1,215). Based on data from both Y-chromosome marker systems, which we found to be highly correlated (r=0.96), and using spatial analysis of the molecular variance (SAMOVA), we revealed statistically significant support for two groups of populations: (1) all Polish populations and (2) all German populations. By means of analysis of the molecular variance (AMOVA) we observed a large and statistically significant proportion of 14% (for Y-SNPs) and 15% (for Y-STRs) of the respective total genetic variation being explained between both countries. The same population differentiation was detected using Monmonier’s algorithm, with a resulting genetic border between Poland and Germany that closely resembles the course of the political border between both countries. The observed genetic differentiation was mainly, but not exclusively, due to the frequency distribution of two Y-SNP haplogroups and their associated Y-STR haplotypes: R1a1*, most frequent in Poland, and R1*(xR1a1), most frequent in Germany. We suggest here that the pronounced population differentiation between the two geographically neighbouring countries, Poland and Germany, is the consequence of very recent events in human population history, namely the forced human resettlement of many millions of Germans and Poles during and, especially, shortly after World War II. In addition, our findings have consequences for the forensic application of Y-chromosome markers, strongly supporting the implementation of population substructure into forensic Y chromosome databases, and also for genetic association studies.

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David Comas

Pompeu Fabra University

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Fan Liu

Beijing Institute of Genomics

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Albert Hofman

Erasmus University Rotterdam

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Fernando Rivadeneira

Erasmus University Rotterdam

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Mark Vermeulen

Erasmus University Medical Center

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