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4. Y haplogroups and aggressive behavior in a Pakistani ethnic group

Author

Shah, S. Shoaib, Ayub, Q., Firasat, S., Kaiser, F., and Mehdi, S.Q.

Subjects
Pakistanis -- Behavior, Pakistanis -- Genetic aspects, Aggressiveness (Psychology) -- Genetic aspects, Behavior genetics -- Research, Haplotypes -- Research, Health, Psychology and mental health, Sociology and social work
Published
2009

5. Responses of different okra (Abelmoschus esculentus) cultivars to water deficit conditions

Author

Ayub, Q, Khan, S M, Hussain, I, Naveed, K, Ali, S, Mehmood, A, Khan, M J, Haq, N U, Shehzad, Q, Ayub, Q, Khan, S M, Hussain, I, Naveed, K, Ali, S, Mehmood, A, Khan, M J, Haq, N U, and Shehzad, Q

Abstract

A pot experiment was conducted to evaluate the adverse effects of drought on different okra cultivars and to identify the most suitable okra cultivar for growing in drought conditions. Five okra cultivars namely Pusa Green, Clemson, Sabz Pari, Pusa Swani and Mehak Pari were subjected to three drought levels i.e., control (100% Field capacity),50% and 25% Field Capacity (FC). Physiological parameters like fresh and dry weight of plant and plant height were recorded along with biochemical attributes such as chlorophyll content (a, b, total) carotenoids, total protein, proline content, and Membrane stability index (MSI%). Results showed that drought significantly reduced all the studied parameters and at maximum drought (25% FC) lowest values of fresh weight (12.42g), dry weight (1.22g), plant height (7.86cm), chlorophyll a (9.02mg/g FW), chlorophyll b (18.69mg/g FW), total chlorophyll (27.71mg/g FW), carotenoids (11.80mg/g FW), total protein (2.73mg/g FW),whereas maximum Proline (21.36μg/g FW), and MSI (72%) were observed under the same drought. The results concerning responses of okra cultivars under drought conditions showed that maximum. Fresh weight (15.25g) and Dry weight (2.74g) was observed in Pusa green while maximum Plant height (13.77cm), Chlorophyll a (14.38mg/g FW), Chlorophyll b (24.41mg/g FW), Total Chlorophyll (38.80mg/g FW), Carotenoids (18.57mg/g FW), Total Protein (5.44mg/g FW), Proline (27.78μg/g FW), and MSI (56.33%) were produced by Sabz Pari. Hence it can be concluded that drought causes significant variation on physical and biochemical attributes of okra whereas Sabz Pari showed resistance towards the applied stress and produced better results.

Published
2021

7. High rate of multidrug-resistant Enterobacteriaceae carrying ESBL and plasmid-borne AmpC ß-lactamase in a Malaysian community

Author

Dwiyanto, J., primary, Ong, K.S., additional, Hor, J.W., additional, Levins, J., additional, Thowfeek, S.A.R., additional, Kok, I., additional, Boon, K.J.C., additional, Md Zoqratt, M.Z.H., additional, Reidpath, D., additional, Ayub, Q., additional, Lee, S.W.H., additional, Lee, S.M., additional, and Rahman, S., additional

Published
2020
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9. An Ethnolinguistic and Genetic Perspective on the Origins of the Dravidian-Speaking Brahui in Pakistan

Author

Luca Pagani, Colonna, V., Tyler-Smith, C., and Ayub, Q.

Subjects
Origins of the Dravidian-Speaking, Article
Abstract

Pakistan is a part of South Asia that modern humans encountered soon after they left Africa ~50 - 70,000 years ago. Approximately 9,000 years ago they began establishing cities that eventually expanded to represent the Harappan culture, rivalling the early city states of Mesopotamia. The modern state constitutes the north western land mass of the Indian sub-continent and is now the abode of almost 200 million humans representing many ethnicities and linguistic groups. Studies utilising autosomal, Y chromosomal and mitochondrial DNA markers in selected Pakistani populations revealed a mixture of Western Eurasian-, South- and East Asian-specific lineages, some of which were unequivocally associated with past migrations. Overall in Pakistan, genetic relationships are generally predicted more accurately by geographic proximity than linguistic origin. The Dravidian-speaking Brahui population are a prime example of this. They currently reside in south-western Pakistan, surrounded by Indo-Europeans speakers with whom they share a common genetic origin. In contrast, the Hazara share the highest affinity with East Asians, despite their Indo-European linguistic affiliation. In this report we reexamine the genetic origins of the Brahuis, and compare them with diverse populations from India, including several Dravidian-speaking groups, and present a genetic perspective on ethnolinguistic groups in present-day Pakistan. Given the high affinity of Brahui to the other Indo-European Pakistani populations and the absence of population admixture with any of the examined Indian Dravidian groups, we conclude that Brahui are an example of cultural (linguistic) retention following a major population replacement.

Published
2017

10. Genomic analyses inform on migration events during the peopling of Eurasia

Author

Pagani, L, Lawson, DJ, Jagoda, E, Mörseburg, A, Eriksson, A, Mitt, M, Clemente, F, Hudjashov, G, Degiorgio, M, Saag, L, Wall, JD, Cardona, A, Mägi, R, Sayres, MAW, Kaewert, S, Inchley, C, Scheib, CL, Järve, M, Karmin, M, Jacobs, GS, Antao, T, Iliescu, FM, Kushniarevich, A, Ayub, Q, Tyler-Smith, C, Xue, Y, Yunusbayev, B, Tambets, K, Mallick, CB, Pocheshkhova, E, Andriadze, G, Muller, C, Westaway, MC, Lambert, DM, Zoraqi, G, Turdikulova, S, Dalimova, D, Sabitov, Z, Sultana, GNN, Lachance, J, Tishkoff, S, Momynaliev, K, Isakova, J, Damba, LD, Gubina, M, Nymadawa, P, Evseeva, I, Atramentova, L, Utevska, O, Ricaut, FX, Brucato, N, Sudoyo, H, Letellier, T, Cox, MP, Barashkov, NA, Mulahasanović, L, Primorac, D, Mormina, M, Eichstaedt, CA, Lichman, DV, Chaubey, G, Wee, JTS, Mihailov, E, Karunas, A, Litvinov, S, Khusainova, R, and Ekomasova, N

Abstract

© 2016 Macmillan Publishers Limited, part of Springer Nature. High-Coverage whole-genome sequence studies have so far focused on a limited number of geographically restricted populations, or been targeted at specific diseases, such as cancer. Nevertheless, the availability of high-resolution genomic data has led to the development of new methodologies for inferring population history and refuelled the debate on the mutation rate in humans. Here we present the Estonian Biocentre Human Genome Diversity Panel (EGDP), a dataset of 483 high-coverage human genomes from 148 populations worldwide, including 379 new genomes from 125 populations, which we group into diversity and selection sets. We analyse this dataset to refine estimates of continent-wide patterns of heterozygosity, long-and short-distance gene flow, archaic admixture, and changes in effective population size through time as well as for signals of positive or balancing selection. We find a genetic signature in present-day Papuans that suggests that at least 2% of their genome originates from an early and largely extinct expansion of anatomically modern humans (AMHs) out of Africa. Together with evidence from the western Asian fossil record, and admixture between AMHs and Neanderthals predating the main Eurasian expansion, our results contribute to the mounting evidence for the presence of AMHs out of Africa earlier than 75,000 years ago.

Published
2016
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13. Patrilinear origins of Pakistani ethnic groups

Author

Qamar, R, Ayub, Q., Mohyuddin, A., Mazhar, K., Mansoor, A., Khaliq, S., Zerjal, T., Tyler-Smith, C., and Mehdi, S.Q.

Subjects
Human genetics -- Research, Human population genetics -- Research, Ethnic groups -- Genetic aspects, Biological sciences
Published
2001

14. HLA POLYMORPHISMS IN PAKISTANI ETHNIC GROUPS

Author

Mohyuddin, A., Ayub, Q., Khaliq, S., Mansoor, A., Mazhar, K., Rehman, S., Qamar, R., and Mehdi, S.Q.

Subjects
Genetic disorders -- Research, Pakistanis -- Genetic aspects, Ethnic groups -- Genetic aspects, Human genetics -- Research, Biological sciences
Published
2001

15. A Study of the Greek Ancestry of Northern Pakistani Ethnic Groups Using 115 Microsatellite Markers

Author

Mansoor, A., Ayub, Q., Qamar, R., Mazhar, K., Khaliq, S., Siddiqi, S., Rahman, S., Papaioannou, M., and Mehdi, S.Q.

Subjects
Asia -- Emigration and immigration, Asia Minor -- Emigration and immigration, Human genetics -- Research, Cladistic analysis -- Usage, Emigration and immigration -- Research, Genetic markers -- Usage, Anthropological research -- Genetic aspects, Genetic research -- Usage, Biogeography -- Research, Indigenous peoples -- Genetic aspects, Biological invasions -- Genetic aspects, Gene frequency -- Research, Anthropological linguistics -- Usage, Greeks -- Emigration and immigration, Military history -- Genetic aspects, Ethnohistory -- Genetic aspects, Biological sciences
Published
2001

17. A recent bottleneck of Y chromosome diversity coincides with a global change in culture

Author

Karmin M., Saag L., Vicente M., Wilson Sayres M., Järve M., Talas U., Rootsi S., Ilumäe A., Mägi R., Mitt M., Pagani L., Puurand T., Faltyskova Z., Clemente F., Cardona A., Metspalu E., Sahakyan H., Yunusbayev B., Hudjashov G., DeGiorgio M., Loogväli E., Eichstaedt C., Eelmets M., Chaubey G., Tambets K., Litvinov S., Mormina M., Xue Y., Ayub Q., Zoraqi G., Korneliussen T., Akhatova F., Lachance J., Tishkoff S., Momynaliev K., Ricaut F., Kusuma P., Razafindrazaka H., Pierron D., Cox M., Sultana G., Willerslev R., Muller C., Westaway M., Lambert D., Skaro V., Kovačević L., Turdikulova S., Dalimova D., Khusainova R., Trofimova N., Akhmetova V., Khidiyatova I., Lichman D., Isakova J., Pocheshkhova E., Sabitov Z., Barashkov N., Nymadawa P., Mihailov E., Seng J., Evseeva I., Migliano A., Abdullah S., Andriadze G., Primorac D., Atramentova L., Utevska O., Yepiskoposyan L., Marjanović D., Kushniarevich A., and Behar D.

Abstract

© 2015 Karmin et al. It is commonly thought that human genetic diversity in non-African populations was shaped primarily by an out-of-Africa dispersal 50-100 thousand yr ago (kya). Here, we present a study of 456 geographically diverse high-coverage Y chromosome sequences, including 299 newly reported samples. Applying ancient DNA calibration, we date the Y-chromosomal most recent common ancestor (MRCA) in Africa at 254 (95% CI 192-307) kya and detect a cluster of major non-African founder haplogroups in a narrow time interval at 47-52 kya, consistent with a rapid initial colonization model of Eurasia and Oceania after the out-of-Africa bottleneck. In contrast to demographic reconstructions based on mtDNA, we infer a second strong bottleneck in Y-chromosome lineages dating to the last 10 ky. We hypothesize that this bottleneck is caused by cultural changes affecting variance of reproductive success among males.

Published
2015

18. Human genomic regions with exceptionally high levels of population differentiation identified from 911 whole-genome sequences

Author

Colonna, V, Ayub, Q, Chen, Y, Pagani, L, Luisi, P, Pybus, M, Garrison, E, Xue, Y, Tyler-Smith, C, Abecasis, GR, Auton, A, Brooks, LD, Depristo, MA, Durbin, RM, Handsaker, RE, Kang, HM, Marth, GT, McVean, G, Altshuler, DM, Bentley, DR, Chakravarti, A, Clark, AG, Donnelly, P, Eichler, EE, Flicek, P, Gabriel, SB, Gibbs, RA, Green, ED, Hurles, ME, Knoppers, BM, Korbel, JO, Lander, ES, Lee, C, Lehrach, H, Mardis, ER, McVean, GA, Nickerson, DA, Schmidt, JP, Sherry, ST, Wang, J, Wilson, RK, Dinh, H, Kovar, C, Lee, S, Lewis, L, Muzny, D, Reid, J, Wang, M, Fang, X, Guo, X, Jian, M, Jiang, H, Jin, X, Li, G, Li, J, Li, Y, Li, Z, Liu, X, Lu, Y, Ma, X, Su, Z, Tai, S, Tang, M, Wang, B, Wang, G, Wu, H, Wu, R, Yin, Y, Zhang, W, Zhao, J, Zhao, M, Zheng, X, Zhou, Y, Gupta, N, Clarke, L, Leinonen, R, Smith, RE, Zheng-Bradley, X, Grocock, R, Humphray, S, James, T, Kingsbury, Z, Sudbrak, R, Albrecht, MW, Amstislavskiy, VS, Borodina, TA, Lienhard, M, Mertes, F, Sultan, M, Timmermann, B, Yaspo, ML, Fulton, L, Fulton, R, Weinstock, GM, Balasubramaniam, S, Burton, J, Danecek, P, Keane, TM, Kolb-Kokocinski, A, McCarthy, S, Molecular Dynamics, Biomimetics, Urban and Regional Studies Institute, Nanomedicine & Drug Targeting, Artificial Intelligence, Micromechanics, Molecular Cell Biology, Van Swinderen Institute for Particle Physics and G, Archaeology of Northwestern Europe, Polymer Chemistry and Bioengineering, Christianity and the History of Ideas, Scientific Visualization and Computer Graphics, Chemical Technology, Macromolecular Chemistry & New Polymeric Materials, Bernoulli Institute, Surfaces and Thin Films, Hemelrijk group, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Falcao Salles lab, Synthetic Organic Chemistry, Psychometrics and Statistics, Bio-inspired systems and circuits, Advanced Production Engineering, Drug Design, The 1000 Genomes Project Consortium, Faculteit Medische Wetenschappen/UMCG, Wellcome Trust, Consiglio Nazionale delle Ricerche, EMBO, and 1000 Genomes Project Consortium

Subjects
Historia y Arqueología, lactase persistence, POSITIVE SELECTION, BALANCING SELECTION, SOFT SWEEP, Biología, standing variation, Population, Biology, Balancing selection, Genome, Polymorphism, Single Nucleotide, Genètica de poblacions humanes, Ciencias Biológicas, purl.org/becyt/ford/1 [https], selective sweep, functional annotation cluster, Genética y Herencia, HUMANIDADES, Genetic drift, Gene Frequency, INDEL Mutation, Humans, Selection, Genetic, education, purl.org/becyt/ford/1.6 [https], Selection (genetic algorithm), education.field_of_study, purl.org/becyt/ford/6 [https], Genome, Human, Research, Genetic Drift, Levenshtein distance, Selecció natural, Sequence Analysis, DNA, Human genetics, Otras Historia y Arqueología, Evolutionary biology, Human genome, purl.org/becyt/ford/6.1 [https], Selective sweep, Genètica humana -- Variació, CIENCIAS NATURALES Y EXACTAS
Abstract

It contains associated material.-- The 1000 Genomes Project Consortium, [Background] Population differentiation has proved to be effective for identifying loci under geographically localized positive selection, and has the potential to identify loci subject to balancing selection. We have previously investigated the pattern of genetic differentiation among human populations at 36.8 million genomic variants to identify sites in the genome showing high frequency differences. Here, we extend this dataset to include additional variants, survey sites with low levels of differentiation, and evaluate the extent to which highly differentiated sites are likely to result from selective or other processes., [Results] We demonstrate that while sites with low differentiation represent sampling effects rather than balancing selection, sites showing extremely high population differentiation are enriched for positive selection events and that one half may be the result of classic selective sweeps. Among these, we rediscover known examples, where we actually identify the established functional SNP, and discover novel examples including the genes ABCA12, CALD1 and ZNF804, which we speculate may be linked to adaptations in skin, calcium metabolism and defense, respectively., [Conclusions] We identify known and many novel candidate regions for geographically restricted positive selection, and suggest several directions for further research. © 2014 Colonna et al., This work was supported by The Wellcome Trust (098051), an Italian National Research Council (CNR) short-term mobility fellowship from the 2013 program to VC, and an EMBO Short Term Fellowship ASTF 324–2010 to VC.

Published
2014
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19. Integrating sequence and array data to create an improved 1000 Genomes Project haplotype reference panel

Author

Delaneau O., Marchini J., McVeanh G.A., Donnelly P., Lunter G., Marchini J.L., Myers, S., Gupta-Hinch, A., Iqbal, Z., Mathieson I., Rimmer, A., Xifara, D.K., Kerasidou, A., Churchhouse, C., Altshuler, D.M., Gabriel, S.B., Lander, E.S., Gupta, N., Daly, M.J., DePristo, M.A., Banks, E., Bhatia G., Carneiro, M.O., Del Angel G., Genovese G., Handsaker, R.E., Hartl, C., McCarroll, S.A., Nemesh J.C., Poplin, R.E., Schaffner, S.F., Shakir, K., Sabeti P.C., Grossman, S.R., Tabrizi, S., Tariyal, R., Li H., Reich, D., Durbin, R.M., Hurles, M.E., Balasubramaniam, S., Burton J., Danecek P., Keane, T.M., Kolb-Kokocinski, A., McCarthy, S., Stalker J., Quail, M., Ayub Q., Chen, Y., Coffey, A.J., Colonna V., Huang, N., Jostins L., Scally, A., Walter, K., Xue, Y., Zhang, Y., Blackburne, B., Lindsay, S.J., Ning, Z., Frankish, A., Harrow J., Chris, T.-S., Abecasis G.R., Kang H.M., Anderson P., Blackwell, T., Busonero F., Fuchsberger, C., Jun G., Maschio, A., Porcu, E., Sidore, C., Tan, A., Trost, M.K., Bentley, D.R., Grocock, R., Humphray, S., James, T., Kingsbury, Z., Bauer, M., Cheetham, R.K., Cox, T., Eberle, M., Murray L., Shaw, R., Chakravarti, A., Clark, A.G., Keinan, A., Rodriguez-Flores J.L., De LaVega F.M., Degenhardt J., Eichler, E.E., Flicek P., Clarke L., Leinonen, R., Smith, R.E., Zheng-Bradley X., Beal, K., Cunningham F., Herrero J., McLaren W.M., Ritchie G.R.S., Barker J., Kelman G., Kulesha, E., Radhakrishnan, R., Roa, A., Smirnov, D., Streeter I., Toneva I., Gibbs, R.A., Dinh H., Kovar, C., Lee, S., Lewis L., Muzny, D., Reid J., Wang, M., Yu F., Bainbridge, M., Challis, D., Evani, U.S., Lu J., Nagaswamy, U., Sabo, A., Wang, Y., Yu J., Fowler G., Hale W., Kalra, D., Green, E.D., Knoppers, B.M., Korbel J.O., Rausch, T., Sttz, A.M., Lee, C., Griffin L., Hsieh, C.-H., Mills, R.E., Von Grotthuss, M., Zhang, C., Shi X., Lehrach H., Sudbrak, R., Amstislavskiy V.S., Lienhard, M., Mertes F., Sultan, M., Timmermann, B., Yaspo, M.L., Herwig, S.R., Mardis, E.R., Wilson, R.K., Fulton L., Fulton, R., Weinstock G.M., Chinwalla, A., Ding L., Dooling, D., Koboldt, D.C., McLellan, M.D., Wallis J.W., Wendl, M.C., Zhang Q., Marth G.T., Garrison, E.P., Kural, D., Lee W.-P., Leong W.F., Ward, A.N., Wu J., Zhang, M., Nickerson, D.A., Alkan, C., Hormozdiari F., Ko, A., Sudmant P.H., Schmidt J.P., Davies, C.J., Gollub J., Webster, T., Wong, B., Zhan, Y., Sherry, S.T., Xiao, C., Church, D., Ananiev V., Belaia, Z., Beloslyudtsev, D., Bouk, N., Chen, C., Cohen, R., Cook, C., Garner J., Hefferon, T., Kimelman, M., Liu, C., Lopez J., Meric P., Ostapchuk, Y., Phan L., Ponomarov, S., Schneider V., Shekhtman, E., Sirotkin, K., Slotta, D., Zhang H., Wang J., Fang X., Guo X., Jian, M., Jiang H., Jin X., Li G., Li J., Li, Y., Liu X., Lu, Y., Ma X., Tai, S., Tang, M., Wang, B., Wang G., Wu H., Wu, R., Yin, Y., Zhang W., Zhao J., Zhao, M., Zheng X., Lachlan H., Fang L., Li Q., Li, Z., Lin H., Liu, B., Luo, R., Shao H., Xie, Y., Ye, C., Yu, C., Zheng H., Zhu H., Cai H., Cao H., Su, Y., Tian, Z., Yang H., Yang L., Zhu J., Cai, Z., Albrecht, M.W., Borodina, T.A., Auton, A., Yoon, S.C., Lihm J., Makarov V., Jin H., Kim W., Kim, K.C., Gottipati, S., Jones, D., Cooper, D.N., Ball, E.V., Stenson P.D., Barnes, B., Kahn, S., Ye, K., Batzer, M.A., Konkel, M.K., Walker J.A., MacArthur, D.G., Lek, M., Shriver, M.D., Bustamante, C.D., Gravel, S., Kenny, E.E., Kidd J.M., Lacroute P., Maples, B.K., Moreno-Estrada, A., Zakharia F., Henn, B., Sandoval, K., Byrnes J.K., Halperin, E., Baran, Y., Craig, D.W., Christoforides, A., Izatt, T., Kurdoglu, A.A., Sinari, S.A., Homer, N., Squire, K., Sebat J., Bafna V., Burchard, E.G., Hernandez, R.D., Gignoux, C.R., Haussler, D., Katzman, S.J., Kent W.J., Howie, B., Ruiz-Linares, A., Dermitzakis, E.T., Lappalainen, T., Devine, S.E., Maroo, A., Tallon L.J., Rosenfeld J.A., Michelson L.P., Angius, A., Cucca F., Sanna, S., Bigham, A., Jones, C., Reinier F., Lyons, R., Schlessinger, D., Awadalla P., Hodgkinson, A., Oleksyk, T.K., Martinez-Cruzado J.C., Fu, Y., Xiong, M., Jorde L., Witherspoon, D., Xing J., Browning, B.L., Hajirasouliha I., Chen, K., Albers, C.A., Gerstein, M.B., Abyzov, A., Chen J., Habegger L., Harmanci, A.O., Mu X.J., Sisu, C., Balasubramanian, S., Jin, M., Khurana, E., Clarke, D., Michaelson J.J., OSullivan, C., Barnes, K.C., Gharani, N., Toji L.H., Gerry, N., Kaye J.S., Kent, A., Mathias, R., Ossorio P.N., Parker, M., Rotimi, C.N., Royal, C.D., Tishkoff, S., Via, M., Bodmer W., Bedoya G., Yang G., You, C.J., Garcia-Montero, A., Orfao, A., Dutil J., Brooks L.D., Felsenfeld, A.L., McEwen J.E., Clemm, N.C., Guyer, M.S., Peterson J.L., Duncanson, A., Dunn, M., Peltonen L., and 1000 Genomes Project Consortium

Subjects
haplotype, genetic association, genotype, General Physics and Astronomy, Genome-wide association study, genetic analysis, gene sequence, Biology, gene frequency, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Article, polymorphism, Gene Frequency, single nucleotide polymorphism, Humans, chromosome, human, 1000 Genomes Project, indel mutation, genome, Alleles, Genetic association, Genetics, Whole genome sequencing, Multidisciplinary, accuracy, Genome, Human, Haplotype, allele, article, reference database, General Chemistry, Microarray Analysis, chromosome 20, Haplotypes, Human genome, microarray analysis, Imputation (genetics), Algorithms, SNP array, Genome-Wide Association Study
Abstract

A major use of the 1000 Genomes Project (1000GP) data is genotype imputation in genome-wide association studies (GWAS). Here we develop a method to estimate haplotypes from low-coverage sequencing data that can take advantage of single-nucleotide polymorphism (SNP) microarray genotypes on the same samples. First the SNP array data are phased to build a backbone (or 'scaffold') of haplotypes across each chromosome. We then phase the sequence data 'onto' this haplotype scaffold. This approach can take advantage of relatedness between sequenced and non-sequenced samples to improve accuracy. We use this method to create a new 1000GP haplotype reference set for use by the human genetic community. Using a set of validation genotypes at SNP and bi-allelic indels we show that these haplotypes have lower genotype discordance and improved imputation performance into downstream GWAS samples, especially at low-frequency variants. © 2014 Macmillan Publishers Limited. All rights reserved.

Published
2014
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20. Deep Roots for Aboriginal Australian Y Chromosomes.

Author

Bergström, A, Nagle, N, Chen, Y, McCarthy, S, Pollard, MO, Ayub, Q, Wilcox, S, Wilcox, L, van Oorschot, RAH, McAllister, P, Williams, L, Xue, Y, Mitchell, RJ, Tyler-Smith, C, Bergström, A, Nagle, N, Chen, Y, McCarthy, S, Pollard, MO, Ayub, Q, Wilcox, S, Wilcox, L, van Oorschot, RAH, McAllister, P, Williams, L, Xue, Y, Mitchell, RJ, and Tyler-Smith, C

Abstract

Australia was one of the earliest regions outside Africa to be colonized by fully modern humans, with archaeological evidence for human presence by 47,000 years ago (47 kya) widely accepted [1, 2]. However, the extent of subsequent human entry before the European colonial age is less clear. The dingo reached Australia about 4 kya, indirectly implying human contact, which some have linked to changes in language and stone tool technology to suggest substantial cultural changes at the same time [3]. Genetic data of two kinds have been proposed to support gene flow from the Indian subcontinent to Australia at this time, as well: first, signs of South Asian admixture in Aboriginal Australian genomes have been reported on the basis of genome-wide SNP data [4]; and second, a Y chromosome lineage designated haplogroup C(∗), present in both India and Australia, was estimated to have a most recent common ancestor around 5 kya and to have entered Australia from India [5]. Here, we sequence 13 Aboriginal Australian Y chromosomes to re-investigate their divergence times from Y chromosomes in other continents, including a comparison of Aboriginal Australian and South Asian haplogroup C chromosomes. We find divergence times dating back to ∼50 kya, thus excluding the Y chromosome as providing evidence for recent gene flow from India into Australia.

Published
2016

21. Towards complete male individualization with rapidly mutating Y-chromosomal STRs

Author

Ballantyne, KN, Ralf, A, Aboukhalid, R, Achakzai, NM, Anjos, MJ, Ayub, Q, Balažic, J, Ballantyne, J, Ballard, DJ, Berger, B, Bobillo, C, Bouabdellah, M, Burri, H, Butler, J, Capal, T, Caratti, S, Carracedo, A, Cartault, F, Carvalho, EF, Cheng, B, Coble, MD, Comas, D, Corach, D, D'Amato, ME, Davison, S, de Carvalho, EF, de Knijff, Peter, de Ungria, M, Decorte, Ronny, Dobosz, T, Dupuy, BM, Elmrghni, S, Gliwinski, M, Gomes, SC, Grol, L, Haas, C, Hanson, E, Henke, J, Hill, CR, Holmlund, G, Honda, K, Immel, U, Inoue, S, Jobling, MA, Kaddura, M, Kim, JS, Kim, SH, Kim, W, King, TE, Klausriegler, E, Kling, D, Kovacevic, LL, Kovatsi, L, Krajewski, P, Kravchenko, S, Larmuseau, Maarten, Lee, EY, Lee, SH, Lessig, R, Livshits, LA, Marjanovic, D, Minarik, M, Mizuno, N, Moreira, H, Morling, N, Mukherjee, M, Nagaraju, J, Neuhuber, F, Nie, S, Nilasitsataporn, P, Nishi, T, Oh, HH, Olofsson, J, Onofri, V, Palo, JU, Pamjav, H, Parson, W, Payet, C, Petlach, M, Phillips, C, Ploski, R, Prasad, SPR, Primorac, D, Purnnomo, GA, Purps, J, Rangel, H, Rebala, K, Rerkamnuaychoke, B, Rey, D, Robino, C, Rodríguez, F, Roewer, L, Rosa, A, Sajantila, A, Sala, A, Salvador, J, Sanz, P, Schmitt, C, Sharma, AK, Silva, DA, Shin, KJ, Sijen, T, Sirker, M, Siváková, D, Skaro, V, Solano-Matamoros, C, Souto, L, Stenzl, V, Sudoyo, H, Syndercombe-Court, D, Tagliabracci, A, Taylor, D, Tillmar, A, Tsybovsky, IS, Tyler-Smith, C, van der Gaag, K, Vanek, D, Völgyi, A, Ward, D, Willemse, P, Winkler, C, Yap, EPH, Yong, RYY, Zupanic Pajnic, I, and Kayser, M

Subjects
haplotypes, paternal lineage, RM YSTRs, Y-STRs, forensic, Y-chromosome
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 RMY-STRs in identifying and separating unrelated and related males and provides a reference database. ispartof: Human Mutation vol:35 issue:8 pages:1021-1032 status: published

Published
2014

22. Toward Male Individualization with Rapidly Mutating Y-Chromosomal Short Tandem Repeats

Author

Ballantyne, K.N., Ralf, A., Aboukhalid, R., Achakzai, N.M., Anjos, M.J., Ayub, Q., Balazic, J., Ballantyne, J., Ballard, D.J., Berger, B., Bobillo, C., Bouabdellah, M., Burri, H., Capal, T., Caratti, S., Cardenas, J., Cartault, F., Carvalho, E.F., Carvalho, M., Cheng, B.W., Coble, M.D., Comas, D., Corach, D., D'Amato, M.E., Davison, S., Knijff, P. de, Ungria, M.C.A. de, Decorte, R., Dobosz, T., Dupuy, B.M., Elmrghni, S., Gliwinski, M., Gomes, S.C., Grol, L., Haas, C., Hanson, E., Henke, J., Henke, L., Herrera-Rodriguez, F., Hill, C.R., Holmlund, G., Honda, K., Immel, U.D., Inokuchi, S., Jobling, M.A., Kaddura, M., Kim, J.S., Kim, S.H., Kim, W., King, T.E., Klausriegler, E., Kling, D., Kovacevic, L., Kovatsi, L., Krajewski, P., Kravchenko, S., Larmuseau, M.H.D., Lee, E.Y., Lessig, R., Livshits, L.A., Marjanovic, D., Minarik, M., Mizuno, N., Moreira, H., Morling, N., Mukherjee, M., Munier, P., Nagaraju, J., Neuhuber, F., Nie, S.J., Nilasitsataporn, P., Nishi, T., Oh, H.H., Olofsson, J., Onofri, V., Palo, J.U., Pamjav, H., Parson, W., Petlach, M., Phillips, C., Ploski, R., Prasad, S.P.R., Primorac, D., Purnomo, G.A., Purps, J., Rangel-Villalobos, H., Rebala, K., Rerkamnuaychoke, B., Gonzalez, D.R., Robino, C., Roewer, L., Rosa, A., Sajantila, A., Sala, A., Salvador, J.M., Sanz, P., Schmitt, C., Sharma, A.K., Silva, D.A., Shin, K.J., Sijen, T., Sirker, M., Sivakova, D., Skaro, V., Solano-Matamoros, C., Souto, L., Stenzl, V., Sudoyo, H., Syndercombe-Court, D., Tagliabracci, A., Taylor, D., Tillmar, A., Tsybovsky, I.S., Tyler-Smith, C., Gaag, K.J. van der, Vanek, D., Volgyi, A., Ward, D., Willemse, P., Yap, E.P.H., Yong, R.Y.Y., Pajnic, I.Z., Kayser, M., Hjelt Institute (-2014), Forensic Medicine, PaleOmics Laboratory, and Genetic Identification

Subjects
Male, Rural Population, haplotypes, Y-chromosome, Y-STRs, RM Y-STRs, paternal lineage, forensic, Asia, Forensic Science, Urban Population, Cell- och molekylärbiologi, education, Paternity, Gene Frequency, Humans, Alleles, Chromosomes, Human, Y, 1184 Genetics, developmental biology, physiology, Genetic Variation, DNA Fingerprinting, RM Y-STRs, Y-STRs, Y-chromosome, forensic, haplotypes, paternal lineage, Pedigree, Europe, Genetics, Population, Africa, 3111 Biomedicine, Americas, Cell and Molecular Biology, Microsatellite Repeats, Rättsmedicin
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 RMY-STRs in identifying and separating unrelated and related males and provides a reference database. Published 2014 Wiley Periodicals, Inc.**

Published
2014

23. Deleterious- and Disease-Allele Prevalence in Healthy Individuals: Insights from Current Predictions, Mutation Databases, and Population-Scale Resequencing

Author

Xue, Y., Chen, Y., Ayub, Q., Huang, N., Ball, E., Mort, M., Phillips, A., Shaw, K., Stenson, P., Cooper, D., Tyler-Smith, C., The 1000 Genomes Project Consortium, Timmermann, B., Lehrach, H., and Herwig, R.

Abstract

We have assessed the numbers of potentially deleterious variants in the genomes of apparently healthy humans by using (1) low-coverage whole-genome sequence data from 179 individuals in the 1000 Genomes Pilot Project and (2) current predictions and databases of deleterious variants. Each individual carried 281–515 missense substitutions, 40–85 of which were homozygous, predicted to be highly damaging. They also carried 40–110 variants classified by the Human Gene Mutation Database (HGMD) as disease-causing mutations (DMs), 3–24 variants in the homozygous state, and many polymorphisms putatively associated with disease. Whereas many of these DMs are likely to represent disease-allele-annotation errors, between 0 and 8 DMs (0–1 homozygous) per individual are predicted to be highly damaging, and some of them provide information of medical relevance. These analyses emphasize the need for improved annotation of disease alleles both in mutation databases and in the primary literature; some HGMD mutation data have been recategorized on the basis of the present findings, an iterative process that is both necessary and ongoing. Our estimates of deleterious-allele numbers are likely to be subject to both overcounting and undercounting. However, our current best mean estimates of ∼400 damaging variants and ∼2 bona fide disease mutations per individual are likely to increase rather than decrease as sequencing studies ascertain rare variants more effectively and as additional disease alleles are discovered.

Published
2012

24. An integrated map of genetic variation from 1,092 human genomes

Author

Altshuler, DM, Durbin, RM, Abecasis, GR, Bentley, DR, Chakravarti, A, Clark, AG, Donnelly, P, Eichler, EE, Flicek, P, Gabriel, SB, Gibbs, RA, Green, ED, Hurles, ME, Knoppers, BM, Korbel, JO, Lander, ES, Lee, C, Lehrach, H, Mardis, ER, Marth, GT, McVean, GA, Nickerson, DA, Schmidt, JP, Sherry, ST, Wang, J, Wilson, RK, Dinh, H, Kovar, C, Lee, S, Lewis, L, Muzny, D, Reid, J, Wang, M, Fang, X, Guo, X, Jian, M, Jiang, H, Jin, X, Li, G, Li, J, Li, Y, Li, Z, Liu, X, Lu, Y, Ma, X, Su, Z, Tai, S, Tang, M, Wang, B, Wang, G, Wu, H, Wu, R, Yin, Y, Zhang, W, Zhao, J, Zhao, M, Zheng, X, Zhou, Y, Gupta, N, Clarke, L, Leinonen, R, Smith, RE, Zheng-Bradley, X, Grocock, R, Humphray, S, James, T, Kingsbury, Z, Sudbrak, R, Albrecht, MW, Amstislavskiy, VS, Borodina, TA, Lienhard, M, Mertes, F, Sultan, M, Timmermann, B, Yaspo, M-L, Fulton, L, Fulton, R, Weinstock, GM, Balasubramaniam, S, Burton, J, Danecek, P, Keane, TM, Kolb-Kokocinski, A, McCarthy, S, Stalker, J, Quail, M, Davies, CJ, Gollub, J, Webster, T, Wong, B, Zhan, Y, Auton, A, Yu, F, Bainbridge, M, Challis, D, Evani, US, Lu, J, Nagaswamy, U, Sabo, A, Wang, Y, Yu, J, Coin, LJM, Fang, L, Li, Q, Lin, H, Liu, B, Luo, R, Qin, N, Shao, H, Xie, Y, Ye, C, Yu, C, Zhang, F, Zheng, H, Zhu, H, Garrison, EP, Kural, D, Lee, W-P, Leong, WF, Ward, AN, Wu, J, Zhang, M, Griffin, L, Hsieh, C-H, Mills, RE, Shi, X, Von Grotthuss, M, Zhang, C, Daly, MJ, DePristo, MA, Banks, E, Bhatia, G, Carneiro, MO, Del Angel, G, Genovese, G, Handsaker, RE, Hartl, C, McCarroll, SA, Nemesh, JC, Poplin, RE, Schaffner, SF, Shakir, K, Yoon, SC, Lihm, J, Makarov, V, Jin, H, Kim, W, Kim, KC, Rausch, T, Beal, K, Cunningham, F, Herrero, J, McLaren, WM, Ritchie, GRS, Gottipati, S, Keinan, A, Rodriguez-Flores, JL, Sabeti, PC, Grossman, SR, Tabrizi, S, Tariyal, R, Cooper, DN, Ball, EV, Stenson, PD, Barnes, B, Bauer, M, Cheetham, RK, Cox, T, Eberle, M, Kahn, S, Murray, L, Peden, J, Shaw, R, Ye, K, Batzer, MA, Konkel, MK, Walker, JA, MacArthur, DG, Lek, M, Herwig, R, Shriver, MD, Bustamante, CD, Byrnes, JK, De la Vega, FM, Gravel, S, Kenny, EE, Kidd, JM, Lacroute, P, Maples, BK, Moreno-Estrada, A, Zakharia, F, Halperin, E, Baran, Y, Craig, DW, Christoforides, A, Homer, N, Izatt, T, Kurdoglu, AA, Sinari, SA, Squire, K, Xiao, C, Sebat, J, Bafna, V, Burchard, EG, Hernandez, RD, Gignoux, CR, Haussler, D, Katzman, SJ, Kent, WJ, Howie, B, Ruiz-Linares, A, Dermitzakis, ET, Lappalainen, T, Devine, SE, Maroo, A, Tallon, LJ, Rosenfeld, JA, Michelson, LP, Kang, HM, Anderson, P, Angius, A, Bigham, A, Blackwell, T, Busonero, F, Cucca, F, Fuchsberger, C, Jones, C, Jun, G, Lyons, R, Maschio, A, Porcu, E, Reinier, F, Sanna, S, Schlessinger, D, Sidore, C, Tan, A, Trost, MK, Awadalla, P, Hodgkinson, A, Lunter, G, Marchini, JL, Myers, S, Churchhouse, C, Delaneau, O, Gupta-Hinch, A, Iqbal, Z, Mathieson, I, Rimmer, A, Xifara, DK, Oleksyk, TK, Fu, Y, Xiong, M, Jorde, L, Witherspoon, D, Xing, J, Browning, BL, Alkan, C, Hajirasouliha, I, Hormozdiari, F, Ko, A, Sudmant, PH, Chen, K, Chinwalla, A, Ding, L, Dooling, D, Koboldt, DC, McLellan, MD, Wallis, JW, Wendl, MC, Zhang, Q, Tyler-Smith, C, Albers, CA, Ayub, Q, Chen, Y, Coffey, AJ, Colonna, V, Huang, N, Jostins, L, Li, H, Scally, A, Walter, K, Xue, Y, Zhang, Y, Gerstein, MB, Abyzov, A, Balasubramanian, S, Chen, J, Clarke, D, Habegger, L, Harmanci, AO, Jin, M, Khurana, E, Mu, XJ, Sisu, C, Degenhardt, J, Stuetz, AM, Church, D, Michaelson, JJ, Ben, B, Lindsay, SJ, Ning, Z, Frankish, A, Harrow, J, Fowler, G, Hale, W, Kalra, D, Barker, J, Kelman, G, Kulesha, E, Radhakrishnan, R, Roa, A, Smirnov, D, Streeter, I, Toneva, I, Vaughan, B, Ananiev, V, Belaia, Z, Beloslyudtsev, D, Bouk, N, Chen, C, Cohen, R, Cook, C, Garner, J, Hefferon, T, Kimelman, M, Liu, C, Lopez, J, Meric, P, O'Sullivan, C, Ostapchuk, Y, Phan, L, Ponomarov, S, Schneider, V, Shekhtman, E, Sirotkin, K, Slotta, D, Zhang, H, Barnes, KC, Beiswanger, C, Cai, H, Cao, H, Gharani, N, Henn, B, Jones, D, Kaye, JS, Kent, A, Kerasidou, A, Mathias, R, Ossorio, PN, Parker, M, Reich, D, Rotimi, CN, Royal, CD, Sandoval, K, Su, Y, Tian, Z, Tishkoff, S, Toji, LH, Via, M, Yang, H, Yang, L, Zhu, J, Bodmer, W, Bedoya, G, Ming, CZ, Yang, G, You, CJ, Peltonen, L, Garcia-Montero, A, Orfao, A, Dutil, J, Martinez-Cruzado, JC, Brooks, LD, Felsenfeld, AL, McEwen, JE, Clemm, NC, Duncanson, A, Dunn, M, Guyer, MS, Peterson, JL, 1000 Genomes Project Consortium, Dermitzakis, Emmanouil, Universitat de Barcelona, Massachusetts Institute of Technology. Department of Biology, Altshuler, David, and Lander, Eric S.

Subjects
Natural selection, LOCI, Genome-wide association study, Evolutionary biology, Continental Population Groups/genetics, Human genetic variation, VARIANTS, Genoma humà, Binding Sites/genetics, 0302 clinical medicine, RARE, Sequence Deletion/genetics, WIDE ASSOCIATION, ddc:576.5, Copy-number variation, MUTATION, Exome sequencing, transcription factor, Conserved Sequence, Human evolution, Sequence Deletion, Genetics, RISK, 0303 health sciences, Multidisciplinary, Continental Population Groups, 1000 Genomes Project Consortium, Genetic analysis, Genomics, Polymorphism, Single Nucleotide/genetics, Research Highlight, 3. Good health, Algorithm, Multidisciplinary Sciences, Genetic Variation/genetics, Map, Science & Technology - Other Topics, Conserved Sequence/genetics, Integrated approach, General Science & Technology, Genetics, Medical, Haplotypes/genetics, Biology, Polymorphism, Single Nucleotide, Evolution, Molecular, 03 medical and health sciences, Genetic variation, Humans, Transcription Factors/metabolism, POPULATION-STRUCTURE, 1000 Genomes Project, Polymorphism, Nucleotide Motifs, Alleles, 030304 developmental biology, COPY NUMBER VARIATION, Science & Technology, Binding Sites, Human genome, Genome, Human, Racial Groups, Genetic Variation, Genetics, Population, Haplotypes, Genome, Human/genetics, untranslated RNA, 030217 neurology & neurosurgery, Transcription Factors, Genome-Wide Association Study
Abstract

By characterizing the geographic and functional spectrum of human genetic variation, the 1000 Genomes Project aims to build a resource to help to understand the genetic contribution to disease. Here we describe the genomes of 1,092 individuals from 14 populations, constructed using a combination of low-coverage whole-genome and exome sequencing. By developing methods to integrate information across several algorithms and diverse data sources, we provide a validated haplotype map of 38 million single nucleotide polymorphisms, 1.4 million short insertions and deletions, and more than 14,000 larger deletions. We show that individuals from different populations carry different profiles of rare and common variants, and that low-frequency variants show substantial geographic differentiation, which is further increased by the action of purifying selection. We show that evolutionary conservation and coding consequence are key determinants of the strength of purifying selection, that rare-variant load varies substantially across biological pathways, and that each individual contains hundreds of rare non-coding variants at conserved sites, such as motif-disrupting changes in transcription-factor-binding sites. This resource, which captures up to 98% of accessible single nucleotide polymorphisms at a frequency of 1% in related populations, enables analysis of common and low-frequency variants in individuals from diverse, including admixed, populations., National Institutes of Health (U.S.) (Grant RC2HL102925), National Institutes of Health (U.S.) (Grant U54HG3067)

Published
2012

25. A recent bottleneck of Y chromosome diversity coincides with a global change in culture

Author

Karmin, M., Saag, L., Vicente, M., Wilson Sayres, M.A., Jarve, M., Talas, U.G., Rootsi, S., Ilumae, A.M., Magi, R., Mitt, M., Pagani, L., Puurand, T., Faltyskova, Z., Clemente, F., Cardona, A., Metspalu, E., Sahakyan, H., Yunusbayev, B., Hudjashov, G., DeGiorgio, M., Loogvali, E.L., Eichstaedt, C., Eelmets, M., Chaubey, G., Tambets, K., Litvinov, S., Mormina, M., Xue, Y., Ayub, Q., Zoraqi, G., Korneliussen, T.S., Akhatova, F., Lachance, J., Tishkoff, S., Momynaliev, K., Ricaut, F.X., Kusuma, P., Razafindrazaka, H., Pierron, D., Cox, M.P., Sultana, G.N., Willerslev, R., Muller, C., Westaway, M., Lambert, D., Skaro, V., Kovacevic, L., Turdikulova, S., Dalimova, D., Khusainova, R., Trofimova, N., Akhmetova, V., Khidiyatova, I., Lichman, D.V., Isakova, J., Pocheshkhova, E., Sabitov, Z., Barashkov, N.A., Nymadawa, P., Mihailov, E., Seng, J.W., Evseeva, I., Migliano, A.B., Abdullah, S., Andriadze, G., Primorac, D., Atramentova, L., Utevska, O., Yepiskoposyan, L., Marjanovic, D., Kushniarevich, A., Behar, D.M., Gilissen, C., Vissers, L., Veltman, J.A., Balanovska, E., Derenko, M., Malyarchuk, B., Metspalu, A., Fedorova, S., Eriksson, A., Manica, A., Mendez, F.L., Karafet, T.M., Veeramah, K.R., Bradman, N., Hammer, M.F., Osipova, L.P., Balanovsky, O., Khusnutdinova, E.K., Johnsen, K., Remm, M., Thomas, M.G., Tyler-Smith, C., Underhill, P.A., Willerslev, E., Nielsen, R., Metspalu, M., Villems, R., Kivisild, T., Karmin, M., Saag, L., Vicente, M., Wilson Sayres, M.A., Jarve, M., Talas, U.G., Rootsi, S., Ilumae, A.M., Magi, R., Mitt, M., Pagani, L., Puurand, T., Faltyskova, Z., Clemente, F., Cardona, A., Metspalu, E., Sahakyan, H., Yunusbayev, B., Hudjashov, G., DeGiorgio, M., Loogvali, E.L., Eichstaedt, C., Eelmets, M., Chaubey, G., Tambets, K., Litvinov, S., Mormina, M., Xue, Y., Ayub, Q., Zoraqi, G., Korneliussen, T.S., Akhatova, F., Lachance, J., Tishkoff, S., Momynaliev, K., Ricaut, F.X., Kusuma, P., Razafindrazaka, H., Pierron, D., Cox, M.P., Sultana, G.N., Willerslev, R., Muller, C., Westaway, M., Lambert, D., Skaro, V., Kovacevic, L., Turdikulova, S., Dalimova, D., Khusainova, R., Trofimova, N., Akhmetova, V., Khidiyatova, I., Lichman, D.V., Isakova, J., Pocheshkhova, E., Sabitov, Z., Barashkov, N.A., Nymadawa, P., Mihailov, E., Seng, J.W., Evseeva, I., Migliano, A.B., Abdullah, S., Andriadze, G., Primorac, D., Atramentova, L., Utevska, O., Yepiskoposyan, L., Marjanovic, D., Kushniarevich, A., Behar, D.M., Gilissen, C., Vissers, L., Veltman, J.A., Balanovska, E., Derenko, M., Malyarchuk, B., Metspalu, A., Fedorova, S., Eriksson, A., Manica, A., Mendez, F.L., Karafet, T.M., Veeramah, K.R., Bradman, N., Hammer, M.F., Osipova, L.P., Balanovsky, O., Khusnutdinova, E.K., Johnsen, K., Remm, M., Thomas, M.G., Tyler-Smith, C., Underhill, P.A., Willerslev, E., Nielsen, R., Metspalu, M., Villems, R., and Kivisild, T.

Abstract

Contains fulltext : 153022.pdf (publisher's version ) (Open Access), It is commonly thought that human genetic diversity in non-African populations was shaped primarily by an out-of-Africa dispersal 50-100 thousand yr ago (kya). Here, we present a study of 456 geographically diverse high-coverage Y chromosome sequences, including 299 newly reported samples. Applying ancient DNA calibration, we date the Y-chromosomal most recent common ancestor (MRCA) in Africa at 254 (95% CI 192-307) kya and detect a cluster of major non-African founder haplogroups in a narrow time interval at 47-52 kya, consistent with a rapid initial colonization model of Eurasia and Oceania after the out-of-Africa bottleneck. In contrast to demographic reconstructions based on mtDNA, we infer a second strong bottleneck in Y-chromosome lineages dating to the last 10 ky. We hypothesize that this bottleneck is caused by cultural changes affecting variance of reproductive success among males.

Published
2015

26. Toward Male Individualization with Rapidly Mutating Y-Chromosomal Short Tandem Repeats

Author

Ballantyne, K. (Kaye), Ralf, A. (Arwin), Aboukhalid, R. (Rachid), Achakzai, N.M. (Niaz), Anjos, T. (Tania), Ayub, Q. (Qasim), Balažic, J. (Jože), Ballantyne, J. (Jack), Ballard, D.J. (David), Berger, B. (Burkhard), Bobillo, C. (Cecilia), Bouabdellah, M. (Mehdi), Burri, H. (Helen), Capal, T. (Tomas), Caratti, S. (Stefano), Cárdenas, J. (Jorge), Cartault, F. (François), Carvalho, E.F. (Elizeu), Carvalho, M. (Margarete) de, Cheng, B. (Baowen), Coble, M.D. (Michael), Comas, D. (David), Corach, D. (Daniel), D'Amato, M. (Mauro), Davison, S. (Sean), Knijff, P. (Peter) de, Ungria, M.C.A. (Maria Corazon) de, Decorte, R. (Ronny), Dobosz, T. (Tadeusz), Dupuy, B.M. (Berit), Elmrghni, S. (Samir), Gliwiński, M. (Mateusz), Gomes, S.C. (Sara), Grol, L. (Laurens), Haas, C. (Cordula), Hanson, E. (Erin), Henke, J. (Jürgen), Henke, L. (Lotte), Herrera-Rodríguez, F. (Fabiola), Hill, C.R. (Carolyn), Holmlund, G. (Gunilla), Honda, K. (Katsuya), Immel, U.-D. (Uta-Dorothee), Inokuchi, S. (Shota), Jobling, R., Kaddura, M. (Mahmoud), Kim, J.S. (Jong), Kim, S.H. (Soon), Kim, W. (Wook), King, T.E. (Turi), Klausriegler, E. (Eva), Kling, D. (Daniel), Kovačević, L. (Lejla), Kovatsi, L. (Leda), Krajewski, P. (Paweł), Kravchenko, S. (Sergey), Larmuseau, M.H.D. (Maarten), Lee, E.Y. (Eun Young), Lessig, R. (Rüdiger), Livshits, L.A. (Ludmila), Marjanović, D. (Damir), Minarik, M. (Marek), Mizuno, N. (Natsuko), Moreira, H. (Helena), Morling, N. (Niels), Mukherjee, M. (Meeta), Munier, P. (Patrick), Nagaraju, J. (Javaregowda), Neuhuber, F. (Franz), Nie, S. (Shengjie), Nilasitsataporn, P. (Premlaphat), Nishi, T. (Takeki), Oh, H.H. (Hye), Olofsson, S. (Sylvia), Onofri, V. (Valerio), Palo, J. (Jukka), Pamjav, H. (Horolma), Parson, W. (Walther), Petlach, M. (Michal), Phillips, C. (Christopher), Ploski, R. (Rafal), Prasad, S.P.R. (Samayamantri P.), Primorac, D. (Dragan), Purnomo, G.A. (Gludhug), Purps, J. (Josephine), Rangel-Villalobos, H. (Hector), Reogonekbała, K. (Krzysztof), Rerkamnuaychoke, B. (Budsaba), Gonzalez, D.R. (Danel Rey), Robino, C. (Carlo), Roewer, L. (Lutz), Rosa, A. (Anna) de, Sajantila, A. (Antti), Sala, A. (Andrea), Salvador, J.M. (Jazelyn), Sanz, P. (Paula), Schmitt, C. (Christian), Sharma, A.K. (Anisha K.), Silva, D.A. (Dayse), Shin, K.-J. (Kyoung-Jin), Sijen, T. (Titia), Sirker, M. (Miriam), Siváková, D. (Daniela), Škaro, V. (Vedrana), Solano-Matamoros, C. (Carlos), Souto, L. (L.), Stenzl, V. (Vlastimil), Sudoyo, H. (Herawati), Syndercombe-Court, D. (Denise), Tagliabracci, A. (Adriano), Taylor, D. (Duncan), Tillmar, A. (Andreas), Tsybovsky, I.S. (Iosif), Tyler-Smith, C. (Chris), Gaag, K. (Kristiaan) van der, Vanek, D. (Daniel), Völgyi, A. (Antónia), Ward, D. (Denise), Willemse, P. (Patricia), Yap, E.P.H. (Eric), Yong, Z-Y. (Ze-Yie), Pajnič, I.Z. (Irena Zupanič), Kayser, M.H. (Manfred), Ballantyne, K. (Kaye), Ralf, A. (Arwin), Aboukhalid, R. (Rachid), Achakzai, N.M. (Niaz), Anjos, T. (Tania), Ayub, Q. (Qasim), Balažic, J. (Jože), Ballantyne, J. (Jack), Ballard, D.J. (David), Berger, B. (Burkhard), Bobillo, C. (Cecilia), Bouabdellah, M. (Mehdi), Burri, H. (Helen), Capal, T. (Tomas), Caratti, S. (Stefano), Cárdenas, J. (Jorge), Cartault, F. (François), Carvalho, E.F. (Elizeu), Carvalho, M. (Margarete) de, Cheng, B. (Baowen), Coble, M.D. (Michael), Comas, D. (David), Corach, D. (Daniel), D'Amato, M. (Mauro), Davison, S. (Sean), Knijff, P. (Peter) de, Ungria, M.C.A. (Maria Corazon) de, Decorte, R. (Ronny), Dobosz, T. (Tadeusz), Dupuy, B.M. (Berit), Elmrghni, S. (Samir), Gliwiński, M. (Mateusz), Gomes, S.C. (Sara), Grol, L. (Laurens), Haas, C. (Cordula), Hanson, E. (Erin), Henke, J. (Jürgen), Henke, L. (Lotte), Herrera-Rodríguez, F. (Fabiola), Hill, C.R. (Carolyn), Holmlund, G. (Gunilla), Honda, K. (Katsuya), Immel, U.-D. (Uta-Dorothee), Inokuchi, S. (Shota), Jobling, R., Kaddura, M. (Mahmoud), Kim, J.S. (Jong), Kim, S.H. (Soon), Kim, W. (Wook), King, T.E. (Turi), Klausriegler, E. (Eva), Kling, D. (Daniel), Kovačević, L. (Lejla), Kovatsi, L. (Leda), Krajewski, P. (Paweł), Kravchenko, S. (Sergey), Larmuseau, M.H.D. (Maarten), Lee, E.Y. (Eun Young), Lessig, R. (Rüdiger), Livshits, L.A. (Ludmila), Marjanović, D. (Damir), Minarik, M. (Marek), Mizuno, N. (Natsuko), Moreira, H. (Helena), Morling, N. (Niels), Mukherjee, M. (Meeta), Munier, P. (Patrick), Nagaraju, J. (Javaregowda), Neuhuber, F. (Franz), Nie, S. (Shengjie), Nilasitsataporn, P. (Premlaphat), Nishi, T. (Takeki), Oh, H.H. (Hye), Olofsson, S. (Sylvia), Onofri, V. (Valerio), Palo, J. (Jukka), Pamjav, H. (Horolma), Parson, W. (Walther), Petlach, M. (Michal), Phillips, C. (Christopher), Ploski, R. (Rafal), Prasad, S.P.R. (Samayamantri P.), Primorac, D. (Dragan), Purnomo, G.A. (Gludhug), Purps, J. (Josephine), Rangel-Villalobos, H. (Hector), Reogonekbała, K. (Krzysztof), Rerkamnuaychoke, B. (Budsaba), Gonzalez, D.R. (Danel Rey), Robino, C. (Carlo), Roewer, L. (Lutz), Rosa, A. (Anna) de, Sajantila, A. (Antti), Sala, A. (Andrea), Salvador, J.M. (Jazelyn), Sanz, P. (Paula), Schmitt, C. (Christian), Sharma, A.K. (Anisha K.), Silva, D.A. (Dayse), Shin, K.-J. (Kyoung-Jin), Sijen, T. (Titia), Sirker, M. (Miriam), Siváková, D. (Daniela), Škaro, V. (Vedrana), Solano-Matamoros, C. (Carlos), Souto, L. (L.), Stenzl, V. (Vlastimil), Sudoyo, H. (Herawati), Syndercombe-Court, D. (Denise), Tagliabracci, A. (Adriano), Taylor, D. (Duncan), Tillmar, A. (Andreas), Tsybovsky, I.S. (Iosif), Tyler-Smith, C. (Chris), Gaag, K. (Kristiaan) van der, Vanek, D. (Daniel), Völgyi, A. (Antónia), Ward, D. (Denise), Willemse, P. (Patricia), Yap, E.P.H. (Eric), Yong, Z-Y. (Ze-Yie), Pajnič, I.Z. (Irena Zupanič), and Kayser, M.H. (Manfred)

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

Published
2014
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27. Human genomic regions with exceptionally high levels of population differentiation identified from 911 whole-genome sequences

Author

Colonna, V., Ayub, Q., Chen, Y, Pagani, L., Luisi, P., Pybus, M., Garrison, E., Xue, Y., Tyler-Smith, C., Abecasis, G.R., Auton, A., Brooks, L.D., DePristo, M.A., Durbin, R.M., Handsaker, R.E., Kang, H.M., Marth, G.T., McVean, G.A., Colonna, V., Ayub, Q., Chen, Y, Pagani, L., Luisi, P., Pybus, M., Garrison, E., Xue, Y., Tyler-Smith, C., Abecasis, G.R., Auton, A., Brooks, L.D., DePristo, M.A., Durbin, R.M., Handsaker, R.E., Kang, H.M., Marth, G.T., and McVean, G.A.

Abstract

Item does not contain fulltext

Published
2014

28. A global analysis of Y-chromosomal haplotype diversity for 23 STR loci

Author

Purps, J, Siegert, S, Willuweit, S, Nagy, M, Alves, C, Salazar, R, Angustia, Sm, Santos, Lh, Anslinger, K, Bayer, B, Ayub, Q, Wei, W, Xue, Y, Tyler Smith, C, Bafalluy, Mb, Martínez Jarreta, B, Balitzki, B, Tschumi, S, Ballard, D, Court, D, Barrantes, X, Bäßler, G, Wiest, T, Berger, B, Niederstätter, H, Parson, W, Davis, C, Budowle, B, Burri, H, Borer, U, Koller, C, Carvalho, Ef, Domingues, Pm, Chamoun, Wt, Coble, Md, Hill, Cr, Corach, D, Caputo, M, D'Amato, Me, Davison, S, Decorte, R, Larmuseau, Mh, Ottoni, C, Rickards, O, Jonkisz, A, Frank, We, Furac, I, Gehrig, C, Castella, V, Grskovic, B, Haas, C, Wobst, J, Hadzic, G, Drobnic, K, Immel, Ud, Lessig, R, Jakovski, Z, Ilievska, T, Klann, Ae, García, Cc, De Knijff, P, Kondili, A, Miniati, P, Vouropoulou, M, Kovacevic, L, Marjanovic, D, Lindner, I, Mansour, I, Al Azem, M, Andari, Ae, Marino, M, Furfuro, S, Locarno, L, Martín, P, Luque, Gm, Alonso, A, Miranda, L, Moreira, H, Neto, R, Nogueira, Tl, Morling, N, Onofri, V, Tagliabracci, A, Pamjav, H, Pelotti, S, Abreu Glowacka, M, Cárdenas, J, Rey Gonzalez, D, Salas, A, Brisighelli, Francesca, Capelli, C. Et Al, Brisighelli, Francesca (ORCID:0000-0001-5469-4413), Purps, J, Siegert, S, Willuweit, S, Nagy, M, Alves, C, Salazar, R, Angustia, Sm, Santos, Lh, Anslinger, K, Bayer, B, Ayub, Q, Wei, W, Xue, Y, Tyler Smith, C, Bafalluy, Mb, Martínez Jarreta, B, Balitzki, B, Tschumi, S, Ballard, D, Court, D, Barrantes, X, Bäßler, G, Wiest, T, Berger, B, Niederstätter, H, Parson, W, Davis, C, Budowle, B, Burri, H, Borer, U, Koller, C, Carvalho, Ef, Domingues, Pm, Chamoun, Wt, Coble, Md, Hill, Cr, Corach, D, Caputo, M, D'Amato, Me, Davison, S, Decorte, R, Larmuseau, Mh, Ottoni, C, Rickards, O, Jonkisz, A, Frank, We, Furac, I, Gehrig, C, Castella, V, Grskovic, B, Haas, C, Wobst, J, Hadzic, G, Drobnic, K, Immel, Ud, Lessig, R, Jakovski, Z, Ilievska, T, Klann, Ae, García, Cc, De Knijff, P, Kondili, A, Miniati, P, Vouropoulou, M, Kovacevic, L, Marjanovic, D, Lindner, I, Mansour, I, Al Azem, M, Andari, Ae, Marino, M, Furfuro, S, Locarno, L, Martín, P, Luque, Gm, Alonso, A, Miranda, L, Moreira, H, Neto, R, Nogueira, Tl, Morling, N, Onofri, V, Tagliabracci, A, Pamjav, H, Pelotti, S, Abreu Glowacka, M, Cárdenas, J, Rey Gonzalez, D, Salas, A, Brisighelli, Francesca, Capelli, C. Et Al, and Brisighelli, Francesca (ORCID:0000-0001-5469-4413)

Abstract

In a worldwide collaborative effort, 19,630 Y-chromosomes were sampled from 129 different populations in 51 countries. These chromosomes were typed for 23 short-tandem repeat (STR) loci (DYS19, DYS389I, DYS389II, DYS390, DYS391, DYS392, DYS393, DYS385ab, DYS437, DYS438, DYS439, DYS448, DYS456, DYS458, DYS635, GATAH4, DYS481, DYS533, DYS549, DYS570, DYS576, and DYS643) and using the PowerPlex Y23 System (PPY23, Promega Corporation, Madison, WI). Locus-specific allelic spectra of these markers were determined and a consistently high level of allelic diversity was observed. A considerable number of null, duplicate and off-ladder alleles were revealed. Standard single-locus and haplotype-based parameters were calculated and compared between subsets of Y-STR markers established for forensic casework. The PPY23 marker set provides substantially stronger discriminatory power than other available kits but at the same time reveals the same general patterns of population structure as other marker sets. A strong correlation was observed between the number of Y-STRs included in a marker set and some of the forensic parameters under study. Interestingly a weak but consistent trend toward smaller genetic distances resulting from larger numbers of markers became apparent.

Published
2014

29. FOXP2 Targets Show Evidence of Positive Selection in European Populations

Author

Ayub, Q., Yngvadottir, B., Chen, Y., Xue, Y.L., Hu, M., Vernes, S.C., Fisher, S.E., Tyler-Smith, C., Ayub, Q., Yngvadottir, B., Chen, Y., Xue, Y.L., Hu, M., Vernes, S.C., Fisher, S.E., and Tyler-Smith, C.

Abstract

Contains fulltext : 116993.pdf (publisher's version ) (Closed access)

Published
2013

30. Exploration of signals of positive selection derived from genotype-based human genome scans using re-sequencing data

Author

Hu, M., Ayub, Q., Guerra-Assunção, J. A., Long, Q., Ning, Z., Huang, N., Romero, I. G., Mamanova, L., Akan, Pelin, Liu, X., Coffey, A. J., Turner, D. J., Swerdlow, H., Burton, J., Quail, M. A., Conrad, D. F., Enright, A. J., Tyler-Smith, C., Xue, Y., Hu, M., Ayub, Q., Guerra-Assunção, J. A., Long, Q., Ning, Z., Huang, N., Romero, I. G., Mamanova, L., Akan, Pelin, Liu, X., Coffey, A. J., Turner, D. J., Swerdlow, H., Burton, J., Quail, M. A., Conrad, D. F., Enright, A. J., Tyler-Smith, C., and Xue, Y.

Abstract

We have investigated whether regions of the genome showing signs of positive selection in scans based on haplotype structure also show evidence of positive selection when sequence-based tests are applied, whether the target of selection can be localized more precisely, and whether such extra evidence can lead to increased biological insights. We used two tools: simulations under neutrality or selection, and experimental investigation of two regions identified by the HapMap2 project as putatively selected in human populations. Simulations suggested that neutral and selected regions should be readily distinguished and that it should be possible to localize the selected variant to within 40 kb at least half of the time. Re-sequencing of two ∼300 kb regions (chr4:158Mb and chr10:22Mb) lacking known targets of selection in HapMap CHB individuals provided strong evidence for positive selection within each and suggested the micro-RNA gene hsa-miR-548c as the best candidate target in one region, and changes in regulation of the sperm protein gene SPAG6 in the other., QC 20131018

Published
2012
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31. A systematic survey of loss-of-function variants in human protein-coding genes

Author

MacArthur, D.G., Balasubramanian, S., Frankish, A., Huang, N., Morris, J., Walter, K., Jostins, L., Habegger, L., Pickrell, J.K., Montgomery, S.B., Albers, C.A., Zhang, Z.D., Conrad, D.F., Lunter, G., Zheng, H., Ayub, Q., DePristo, M.A., Banks, E., Hu, M., Handsaker, R.E., Rosenfeld, J.A., Fromer, M., Jin, M., Mu, X.J., Khurana, E., Ye, K., Kay, M., Saunders, G.I., Suner, M.M., Hunt, T., Barnes, I.H., Amid, C., Carvalho-Silva, D.R., Bignell, A.H., Snow, C., Yngvadottir, B., Bumpstead, S., Cooper, D.N., Xue, Y., Romero, I.G., Genomes Project, C., Wang, J, Li, Y., Gibbs, R.A., McCarroll, S.A., Dermitzakis, E.T., Pritchard, J.K., Barrett, J.C., Harrow, J., Hurles, M.E., Gerstein, M.B., Tyler-Smith, C., MacArthur, D.G., Balasubramanian, S., Frankish, A., Huang, N., Morris, J., Walter, K., Jostins, L., Habegger, L., Pickrell, J.K., Montgomery, S.B., Albers, C.A., Zhang, Z.D., Conrad, D.F., Lunter, G., Zheng, H., Ayub, Q., DePristo, M.A., Banks, E., Hu, M., Handsaker, R.E., Rosenfeld, J.A., Fromer, M., Jin, M., Mu, X.J., Khurana, E., Ye, K., Kay, M., Saunders, G.I., Suner, M.M., Hunt, T., Barnes, I.H., Amid, C., Carvalho-Silva, D.R., Bignell, A.H., Snow, C., Yngvadottir, B., Bumpstead, S., Cooper, D.N., Xue, Y., Romero, I.G., Genomes Project, C., Wang, J, Li, Y., Gibbs, R.A., McCarroll, S.A., Dermitzakis, E.T., Pritchard, J.K., Barrett, J.C., Harrow, J., Hurles, M.E., Gerstein, M.B., and Tyler-Smith, C.

Abstract

Item does not contain fulltext, Genome-sequencing studies indicate that all humans carry many genetic variants predicted to cause loss of function (LoF) of protein-coding genes, suggesting unexpected redundancy in the human genome. Here we apply stringent filters to 2951 putative LoF variants obtained from 185 human genomes to determine their true prevalence and properties. We estimate that human genomes typically contain ~100 genuine LoF variants with ~20 genes completely inactivated. We identify rare and likely deleterious LoF alleles, including 26 known and 21 predicted severe disease-causing variants, as well as common LoF variants in nonessential genes. We describe functional and evolutionary differences between LoF-tolerant and recessive disease genes and a method for using these differences to prioritize candidate genes found in clinical sequencing studies.

Published
2012

32. Exploration of signals of positive selection derived from genotype-based human genome scans using re-sequencing data

Author

Hu, M, Ayub, Q, Guerra-Assuncao, JA, Long, Q, Ning, Z, Huang, N, Romero, IG, Mamanova, L, Akan, P, Liu, X, Coffey, AJ, Turner, DJ, Swerdlow, H, Burton, J, Quail, MA, Conrad, DF, Enright, AJ, Tyler-Smith, C, Xue, Y, Hu, M, Ayub, Q, Guerra-Assuncao, JA, Long, Q, Ning, Z, Huang, N, Romero, IG, Mamanova, L, Akan, P, Liu, X, Coffey, AJ, Turner, DJ, Swerdlow, H, Burton, J, Quail, MA, Conrad, DF, Enright, AJ, Tyler-Smith, C, and Xue, Y

Abstract

We have investigated whether regions of the genome showing signs of positive selection in scans based on haplotype structure also show evidence of positive selection when sequence-based tests are applied, whether the target of selection can be localized more precisely, and whether such extra evidence can lead to increased biological insights. We used two tools: simulations under neutrality or selection, and experimental investigation of two regions identified by the HapMap2 project as putatively selected in human populations. Simulations suggested that neutral and selected regions should be readily distinguished and that it should be possible to localize the selected variant to within 40 kb at least half of the time. Re-sequencing of two ~300 kb regions (chr4:158Mb and chr10:22Mb) lacking known targets of selection in HapMap CHB individuals provided strong evidence for positive selection within each and suggested the micro-RNA gene hsa-miR-548c as the best candidate target in one region, and changes in regulation of the sperm protein gene SPAG6 in the other.

Published
2012

33. Contrasting signals of positive selection in genes involved in human skin-color variation from tests based on SNP scans and resequencing

Author

Gruijter, J.M. (Johanna) de, Lao Grueso, O. (Oscar), Vermeulen, M. (Mark), Xue, Y. (Yali), Woodwark, C. (Cara), Gillson, C.J. (Christopher), Coffey, A.J. (Alison), Ayub, Q. (Qasim), Mehdi, S.Q. (Qasim), Kayser, M.H. (Manfred), Tyler-Smith, C. (Chris), Gruijter, J.M. (Johanna) de, Lao Grueso, O. (Oscar), Vermeulen, M. (Mark), Xue, Y. (Yali), Woodwark, C. (Cara), Gillson, C.J. (Christopher), Coffey, A.J. (Alison), Ayub, Q. (Qasim), Mehdi, S.Q. (Qasim), Kayser, M.H. (Manfred), and Tyler-Smith, C. (Chris)

Abstract

Background: Numerous genome-wide scans conducted by genotyping previously ascertained single-nucleotide polymorphisms (SNPs) have provided candidate signatures for positive selection in various regions of the human genome, including in genes involved in pigmentation traits. However, it is unclear how well the signatures discovered by such haplotype-based test statistics can be reproduced in tests based on full resequencing data. Four genes (oculocutaneous albinism II (OCA2), tyrosinase-related protein 1 (TYRP1), dopachrome tautomerase (DCT), and KIT ligand (KITLG)) implicated in human skin-color variation, have shown evidence for positive selection in Europeans and East Asians in previous SNP-scan data. In the current study, we resequenced 4.7 to 6.7 kb of DNA from each of these genes in Africans, Europeans, East Asians, and South Asians.Results: Applying all commonly used neutrality-test statistics for allele frequency distribution to the newly generated sequence data provided conflicting results regarding evidence for positive selection. Previous haplotype-based findings could not be clearly confirmed. Although some tests were marginally significant for some populations and genes, none of them were significant after multiple-testing correction. Combined P values for each gene-population pair did not improve these results. Application of Approximate Bayesian Computation Markov chain Monte Carlo based to these sequence data using a simple forward simulator revealed broad posterior distributions of the selective parameters for all four genes, providing no support for positive selection. However, when we applied this approach to published sequence data on SLC45A2, another human pigmentation candidate gene, we could readily confirm evidence for positive selection, as previously detected with sequence-based and some haplotype-based tests.Conclusions: Overall, our data indicate that even genes that are strong biological candidates for positive selection and show reproduc

Published
2011
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35. A worldwide survey of human male demographic history based on Y-SNP and Y-STR data from the HGDP-CEPH populations

Author

Shi, W. (Wentao), Ayub, Q. (Qasim), Vermeulen, M. (Mark), Shao, R.G. (Rong Guang), Zuniga, S.B. (Sofia), Gaag, K. (Kristiaan) van der, Knijff, P. (Peter) de, Kayser, M.H. (Manfred), Xue, Y. (Yali), Tyler-Smith, C. (Chris), Shi, W. (Wentao), Ayub, Q. (Qasim), Vermeulen, M. (Mark), Shao, R.G. (Rong Guang), Zuniga, S.B. (Sofia), Gaag, K. (Kristiaan) van der, Knijff, P. (Peter) de, Kayser, M.H. (Manfred), Xue, Y. (Yali), and Tyler-Smith, C. (Chris)

Abstract

We have investigated human male demographic history using 590 males from 51 populations in the Human Genome Diversity Project-Centre d'Étude du Polymorphisme Humain worldwide panel, typed with 37 Y-chromosomal Single Nucleotide Polymorphisms and 65 Y-chromosomal Short Tandem Repeats and analyzed with the program Bayesian Analysis of Trees With Internal Node Generation. The general patterns we observe show a gradient from the oldest population time to the most recent common ancestors (TMRCAs) and expansion times together with the largest effective population sizes in Africa, to the youngest times and smallest effective population sizes in the Americas. These parameters are significantly negatively correlated with distance from East Africa, and the patterns are consistent with most other studies of human variation and history. In contrast, growth rate showed a weaker correlation in the opposite direction. Y-lineage diversity and TMRCA also decrease with distance from East Africa, supporting a model of expansion with serial founder events starting from this source. A number of individual populations diverge from these general patterns, including previously documented examples such as recent expansions of the Yoruba in Africa, Basques in Europe, and Yakut in Northern Asia. However, some unexpected demographic histories were also found, including low growth rates in the Hazara and Kalash from Pakistan and recent expansion of the Mozabites in North Africa.

Published
2010
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36. A Worldwide Survey of Human Male Demographic History Based on Y-SNP and Y-STR Data from the HGDP-CEPH Populations

Author

Shi, WT, Ayub, Q, Vermeulen, Mark, Shao, RG, Zuniga, S, van der Gaag, K, de Knijff, P, Kayser, Manfred, Xue, YL, Tyler-Smith, C, Shi, WT, Ayub, Q, Vermeulen, Mark, Shao, RG, Zuniga, S, van der Gaag, K, de Knijff, P, Kayser, Manfred, Xue, YL, and Tyler-Smith, C

Abstract

We have investigated human male demographic history using 590 males from 51 populations in the Human Genome Diversity Project - Centre d'Etude du Polymorphisme Humain worldwide panel, typed with 37 Y-chromosomal Single Nucleotide Polymorphisms and 65 Y-chromosomal Short Tandem Repeats and analyzed with the program Bayesian Analysis of Trees With Internal Node Generation. The general patterns we observe show a gradient from the oldest population time to the most recent common ancestors (TMRCAs) and expansion times together with the largest effective population sizes in Africa, to the youngest times and smallest effective population sizes in the Americas. These parameters are significantly negatively correlated with distance from East Africa, and the patterns are consistent with most other studies of human variation and history. In contrast, growth rate showed a weaker correlation in the opposite direction. Y-lineage diversity and TMRCA also decrease with distance from East Africa, supporting a model of expansion with serial founder events starting from this source. A number of individual populations diverge from these general patterns, including previously documented examples such as recent expansions of the Yoruba in Africa, Basques in Europe, and Yakut in Northern Asia. However, some unexpected demographic histories were also found, including low growth rates in the Hazara and Kalash from Pakistan and recent expansion of the Mozabites in North Africa.

Published
2010

50. Comparative effects of My cobacterium avium glycopeptidolipid and lipopeptide fragment on the function and ultrastructure of mononuclear cells.

Author

Pourshafie, M, Ayub, Q., and Barrow, W. W.

Subjects
*TUMOR necrosis factors, *GLYCOLIPIDS, *MACROPHAGES, *KILLER cells, *MYCOBACTERIUM avium, *ULTRASTRUCTURE (Biology), *ELECTRON microscopy, *CELLULAR immunity
Abstract

Among the various lipids associated with the cell envelope of the Mycabacterium avium complex, the species-specific glycopeplidolipids (GPL) are responsible for distinguishing one serovar from another. In a continuing effort to study the immunomodulatory capabilities of these mycobacterial lipids, we have examined and compared the effects of the GPL and its lipopeptide fragment (β-lipid) on mononuclear cell function. It was observed that the lymphoproliferative response of murine splenic mononuclear cells lo mitogen stimulation was reduced by both the GPL and its lipopeptide fragment. Although the responsiveness appeared lo be down-regulated to a greater degree by the (β-lipid, treatment with either GPL or β-lipid resulted in the release of soluble factors from peritoneal macrophages that caused suppression of the lymphoproliferative responsiveness of splenic mononuclear cells. Flow cylometric analysis of peritoneal macrophages revealed that treatment with the β-lipid fragment caused a marked decrease in expression of the C3bi complement receptor, Mac-1, on maerophages. whereas treatment with GPL resulted in a marked increase in the expression of Mac-2 receptor on maerophages. Treatment of peritoneal macrophages with either GPL or β-lipid resulted in the release of tumour necrosis factor (TNF), as determined by an L929 biological cytotoxicity assay. Perturbation of macrophage membrane ultrastructure by both GPL and β-lipid was confirmed by electron microscopy, and may be a possible explanation for the resulting alterations in mononuclear cell function observed in this study. [ABSTRACT FROM AUTHOR]

Published
1993
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