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Your search keyword '"Prokhortchouk E"' showing total 5 results
Start Over Author "Prokhortchouk E" Topic genome, human
5 results on '"Prokhortchouk E"'

1. Toward high-resolution population genomics using archaeological samples.

Author

Morozova I, Flegontov P, Mikheyev AS, Bruskin S, Asgharian H, Ponomarenko P, Klyuchnikov V, ArunKumar G, Prokhortchouk E, Gankin Y, Rogaev E, Nikolsky Y, Baranova A, Elhaik E, and Tatarinova TV

Subjects
Animals, Humans, DNA, Ancient, Evolution, Molecular, Genetics, Population methods, Genome, Human, Genomics methods, Sequence Analysis, DNA methods
Abstract

The term 'ancient DNA' (aDNA) is coming of age, with over 1,200 hits in the PubMed database, beginning in the early 1980s with the studies of 'molecular paleontology'. Rooted in cloning and limited sequencing of DNA from ancient remains during the pre-PCR era, the field has made incredible progress since the introduction of PCR and next-generation sequencing. Over the last decade, aDNA analysis ushered in a new era in genomics and became the method of choice for reconstructing the history of organisms, their biogeography, and migration routes, with applications in evolutionary biology, population genetics, archaeogenetics, paleo-epidemiology, and many other areas. This change was brought by development of new strategies for coping with the challenges in studying aDNA due to damage and fragmentation, scarce samples, significant historical gaps, and limited applicability of population genetics methods. In this review, we describe the state-of-the-art achievements in aDNA studies, with particular focus on human evolution and demographic history. We present the current experimental and theoretical procedures for handling and analysing highly degraded aDNA. We also review the challenges in the rapidly growing field of ancient epigenomics. Advancement of aDNA tools and methods signifies a new era in population genetics and evolutionary medicine research., (© The Author 2016. Published by Oxford University Press on behalf of Kazusa DNA Research Institute.)

Published
2016
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2. Variation in genomic landscape of clear cell renal cell carcinoma across Europe.

Author

Scelo G, Riazalhosseini Y, Greger L, Letourneau L, Gonzàlez-Porta M, Wozniak MB, Bourgey M, Harnden P, Egevad L, Jackson SM, Karimzadeh M, Arseneault M, Lepage P, How-Kit A, Daunay A, Renault V, Blanché H, Tubacher E, Sehmoun J, Viksna J, Celms E, Opmanis M, Zarins A, Vasudev NS, Seywright M, Abedi-Ardekani B, Carreira C, Selby PJ, Cartledge JJ, Byrnes G, Zavadil J, Su J, Holcatova I, Brisuda A, Zaridze D, Moukeria A, Foretova L, Navratilova M, Mates D, Jinga V, Artemov A, Nedoluzhko A, Mazur A, Rastorguev S, Boulygina E, Heath S, Gut M, Bihoreau MT, Lechner D, Foglio M, Gut IG, Skryabin K, Prokhortchouk E, Cambon-Thomsen A, Rung J, Bourque G, Brennan P, Tost J, Banks RE, Brazma A, and Lathrop GM

Subjects
Adult, Aged, Aged, 80 and over, Cohort Studies, Europe, Female, Focal Adhesions metabolism, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Humans, Male, Middle Aged, Mutation, Mutation Rate, Oncogene Proteins, Fusion genetics, Phosphatidylinositol 3-Kinases genetics, RNA Splicing genetics, Sequence Analysis, DNA, Signal Transduction genetics, Carcinoma, Renal Cell genetics, Genetic Variation, Genome, Human genetics, Genomics
Abstract

The incidence of renal cell carcinoma (RCC) is increasing worldwide, and its prevalence is particularly high in some parts of Central Europe. Here we undertake whole-genome and transcriptome sequencing of clear cell RCC (ccRCC), the most common form of the disease, in patients from four different European countries with contrasting disease incidence to explore the underlying genomic architecture of RCC. Our findings support previous reports on frequent aberrations in the epigenetic machinery and PI3K/mTOR signalling, and uncover novel pathways and genes affected by recurrent mutations and abnormal transcriptome patterns including focal adhesion, components of extracellular matrix (ECM) and genes encoding FAT cadherins. Furthermore, a large majority of patients from Romania have an unexpected high frequency of A:T>T:A transversions, consistent with exposure to aristolochic acid (AA). These results show that the processes underlying ccRCC tumorigenesis may vary in different populations and suggest that AA may be an important ccRCC carcinogen in Romania, a finding with major public health implications.

Published
2014
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3. Genome-wide nucleosome map and cytosine methylation levels of an ancient human genome.

Author

Pedersen JS, Valen E, Velazquez AM, Parker BJ, Rasmussen M, Lindgreen S, Lilje B, Tobin DJ, Kelly TK, Vang S, Andersson R, Jones PA, Hoover CA, Tikhonov A, Prokhortchouk E, Rubin EM, Sandelin A, Gilbert MT, Krogh A, Willerslev E, and Orlando L

Subjects
Animals, Chromosome Mapping, Epigenesis, Genetic, Epigenomics, Evolution, Molecular, Gene Expression, Gene Expression Regulation, Humans, Phylogeny, Promoter Regions, Genetic, Sequence Analysis, DNA, Cytosine metabolism, DNA Methylation, Genome, Human, Inuit genetics, Nucleosomes genetics
Abstract

Epigenetic information is available from contemporary organisms, but is difficult to track back in evolutionary time. Here, we show that genome-wide epigenetic information can be gathered directly from next-generation sequence reads of DNA isolated from ancient remains. Using the genome sequence data generated from hair shafts of a 4000-yr-old Paleo-Eskimo belonging to the Saqqaq culture, we generate the first ancient nucleosome map coupled with a genome-wide survey of cytosine methylation levels. The validity of both nucleosome map and methylation levels were confirmed by the recovery of the expected signals at promoter regions, exon/intron boundaries, and CTCF sites. The top-scoring nucleosome calls revealed distinct DNA positioning biases, attesting to nucleotide-level accuracy. The ancient methylation levels exhibited high conservation over time, clustering closely with modern hair tissues. Using ancient methylation information, we estimated the age at death of the Saqqaq individual and illustrate how epigenetic information can be used to infer ancient gene expression. Similar epigenetic signatures were found in other fossil material, such as 110,000- to 130,000-yr-old bones, supporting the contention that ancient epigenomic information can be reconstructed from a deep past. Our findings lay the foundation for extracting epigenomic information from ancient samples, allowing shifts in epialleles to be tracked through evolutionary time, as well as providing an original window into modern epigenomics.

Published
2014
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4. International network of cancer genome projects.

Author

Hudson TJ, Anderson W, Artez A, Barker AD, Bell C, Bernabé RR, Bhan MK, Calvo F, Eerola I, Gerhard DS, Guttmacher A, Guyer M, Hemsley FM, Jennings JL, Kerr D, Klatt P, Kolar P, Kusada J, Lane DP, Laplace F, Youyong L, Nettekoven G, Ozenberger B, Peterson J, Rao TS, Remacle J, Schafer AJ, Shibata T, Stratton MR, Vockley JG, Watanabe K, Yang H, Yuen MM, Knoppers BM, Bobrow M, Cambon-Thomsen A, Dressler LG, Dyke SO, Joly Y, Kato K, Kennedy KL, Nicolás P, Parker MJ, Rial-Sebbag E, Romeo-Casabona CM, Shaw KM, Wallace S, Wiesner GL, Zeps N, Lichter P, Biankin AV, Chabannon C, Chin L, Clément B, de Alava E, Degos F, Ferguson ML, Geary P, Hayes DN, Hudson TJ, Johns AL, Kasprzyk A, Nakagawa H, Penny R, Piris MA, Sarin R, Scarpa A, Shibata T, van de Vijver M, Futreal PA, Aburatani H, Bayés M, Botwell DD, Campbell PJ, Estivill X, Gerhard DS, Grimmond SM, Gut I, Hirst M, López-Otín C, Majumder P, Marra M, McPherson JD, Nakagawa H, Ning Z, Puente XS, Ruan Y, Shibata T, Stratton MR, Stunnenberg HG, Swerdlow H, Velculescu VE, Wilson RK, Xue HH, Yang L, Spellman PT, Bader GD, Boutros PC, Campbell PJ, Flicek P, Getz G, Guigó R, Guo G, Haussler D, Heath S, Hubbard TJ, Jiang T, Jones SM, Li Q, López-Bigas N, Luo R, Muthuswamy L, Ouellette BF, Pearson JV, Puente XS, Quesada V, Raphael BJ, Sander C, Shibata T, Speed TP, Stein LD, Stuart JM, Teague JW, Totoki Y, Tsunoda T, Valencia A, Wheeler DA, Wu H, Zhao S, Zhou G, Stein LD, Guigó R, Hubbard TJ, Joly Y, Jones SM, Kasprzyk A, Lathrop M, López-Bigas N, Ouellette BF, Spellman PT, Teague JW, Thomas G, Valencia A, Yoshida T, Kennedy KL, Axton M, Dyke SO, Futreal PA, Gerhard DS, Gunter C, Guyer M, Hudson TJ, McPherson JD, Miller LJ, Ozenberger B, Shaw KM, Kasprzyk A, Stein LD, Zhang J, Haider SA, Wang J, Yung CK, Cros A, Liang Y, Gnaneshan S, Guberman J, Hsu J, Bobrow M, Chalmers DR, Hasel KW, Joly Y, Kaan TS, Kennedy KL, Knoppers BM, Lowrance WW, Masui T, Nicolás P, Rial-Sebbag E, Rodriguez LL, Vergely C, Yoshida T, Grimmond SM, Biankin AV, Bowtell DD, Cloonan N, deFazio A, Eshleman JR, Etemadmoghadam D, Gardiner BB, Kench JG, Scarpa A, Sutherland RL, Tempero MA, Waddell NJ, Wilson PJ, McPherson JD, Gallinger S, Tsao MS, Shaw PA, Petersen GM, Mukhopadhyay D, Chin L, DePinho RA, Thayer S, Muthuswamy L, Shazand K, Beck T, Sam M, Timms L, Ballin V, Lu Y, Ji J, Zhang X, Chen F, Hu X, Zhou G, Yang Q, Tian G, Zhang L, Xing X, Li X, Zhu Z, Yu Y, Yu J, Yang H, Lathrop M, Tost J, Brennan P, Holcatova I, Zaridze D, Brazma A, Egevard L, Prokhortchouk E, Banks RE, Uhlén M, Cambon-Thomsen A, Viksna J, Ponten F, Skryabin K, Stratton MR, Futreal PA, Birney E, Borg A, Børresen-Dale AL, Caldas C, Foekens JA, Martin S, Reis-Filho JS, Richardson AL, Sotiriou C, Stunnenberg HG, Thoms G, van de Vijver M, van't Veer L, Calvo F, Birnbaum D, Blanche H, Boucher P, Boyault S, Chabannon C, Gut I, Masson-Jacquemier JD, Lathrop M, Pauporté I, Pivot X, Vincent-Salomon A, Tabone E, Theillet C, Thomas G, Tost J, Treilleux I, Calvo F, Bioulac-Sage P, Clément B, Decaens T, Degos F, Franco D, Gut I, Gut M, Heath S, Lathrop M, Samuel D, Thomas G, Zucman-Rossi J, Lichter P, Eils R, Brors B, Korbel JO, Korshunov A, Landgraf P, Lehrach H, Pfister S, Radlwimmer B, Reifenberger G, Taylor MD, von Kalle C, Majumder PP, Sarin R, Rao TS, Bhan MK, Scarpa A, Pederzoli P, Lawlor RA, Delledonne M, Bardelli A, Biankin AV, Grimmond SM, Gress T, Klimstra D, Zamboni G, Shibata T, Nakamura Y, Nakagawa H, Kusada J, Tsunoda T, Miyano S, Aburatani H, Kato K, Fujimoto A, Yoshida T, Campo E, López-Otín C, Estivill X, Guigó R, de Sanjosé S, Piris MA, Montserrat E, González-Díaz M, Puente XS, Jares P, Valencia A, Himmelbauer H, Quesada V, Bea S, Stratton MR, Futreal PA, Campbell PJ, Vincent-Salomon A, Richardson AL, Reis-Filho JS, van de Vijver M, Thomas G, Masson-Jacquemier JD, Aparicio S, Borg A, Børresen-Dale AL, Caldas C, Foekens JA, Stunnenberg HG, van't Veer L, Easton DF, Spellman PT, Martin S, Barker AD, Chin L, Collins FS, Compton CC, Ferguson ML, Gerhard DS, Getz G, Gunter C, Guttmacher A, Guyer M, Hayes DN, Lander ES, Ozenberger B, Penny R, Peterson J, Sander C, Shaw KM, Speed TP, Spellman PT, Vockley JG, Wheeler DA, Wilson RK, Hudson TJ, Chin L, Knoppers BM, Lander ES, Lichter P, Stein LD, Stratton MR, Anderson W, Barker AD, Bell C, Bobrow M, Burke W, Collins FS, Compton CC, DePinho RA, Easton DF, Futreal PA, Gerhard DS, Green AR, Guyer M, Hamilton SR, Hubbard TJ, Kallioniemi OP, Kennedy KL, Ley TJ, Liu ET, Lu Y, Majumder P, Marra M, Ozenberger B, Peterson J, Schafer AJ, Spellman PT, Stunnenberg HG, Wainwright BJ, Wilson RK, and Yang H

Subjects
DNA Methylation, DNA Mutational Analysis trends, Databases, Genetic, Genes, Neoplasm genetics, Genetics, Medical trends, Genomics trends, Humans, Intellectual Property, Mutation, Neoplasms classification, Neoplasms pathology, Neoplasms therapy, Genetics, Medical organization & administration, Genome, Human genetics, Genomics organization & administration, International Cooperation, Neoplasms genetics
Abstract

The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumours from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. Systematic studies of more than 25,000 cancer genomes at the genomic, epigenomic and transcriptomic levels will reveal the repertoire of oncogenic mutations, uncover traces of the mutagenic influences, define clinically relevant subtypes for prognosis and therapeutic management, and enable the development of new cancer therapies.

Published
2010
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5. Genome-wide association study of renal cell carcinoma identifies two susceptibility loci on 2p21 and 11q13.3

Author

Jorge R. Toro, Vladimir Janout, Zhaoming Wang, Françoise Clavel-Chapelon, Petra H.M. Peeters, Paul Brennan, Camilla Stoltenberg, Hélène Blanché, Diana Zelenika, Vsevolod Matveev, Naomi E. Allen, Rosario Tumino, Vladimir Bencko, H. Bas Bueno-de-Mesquita, Lee E. Moore, María José Sánchez, Mark P. Purdue, Stephen J. Chanock, Kim Overvad, Kvetoslava Koppova, Joanne S. Colt, Eleonora Fabianova, Yuanqing Ye, Grethe S. Tell, Simon Heath, José Ramón Quirós, Egbert Oosterwijk, Amy Hutchinson, Jan Lubinski, Kristian Hveem, Peter Rudnai, Alexandru Bucur, Elio Riboli, James McKay, Ivo Gut, Paolo Vineis, Rosamonde E. Banks, Douglas F. Easton, Jarmo Virtamo, Wong-Ho Chow, Neonila Szeszenia-Dabrowska, Isabelle Romieu, Mark Lathrop, Demetrius Albanes, Kevin B. Jacobs, Sita H. Vermeulen, Egor Prokhortchouk, Carmen Navarro, Ann W. Hsing, Doris Lechner, M. Dorronsoro, Kendra Schwartz, Konstantin G. Skryabin, Mattias Johansson, Eric J. Duell, Valerie Gaborieau, W. Ryan Diver, Susan M. Gapstur, Börje Ljungberg, Dimitrios Trichopoulos, Paul D.P. Pharoah, Gilles Thomas, Victoria L. Stevens, Paolo Boffetta, Vittorio Krogh, David Zaridze, Lambertus A. Kiemeney, Joseph F. Fraumeni, Eugenia S. Boulygina, Kay-Tee Khaw, Olivier Cussenot, Heiner Boeing, Nathaniel Rothman, Michael J. Thun, Saskia S. L. van der Marel, Anush Mukeria, Alexander M. Mazur, Salvatore Panico, Peter Selby, Ghislaine Scelo, Faith G. Davis, Simone Benhamou, Joanna Trubicka, Christine D. Berg, Anne Tjønneland, Eva Ardanaz, Jolanta Lissowska, Katja K.H. Aben, Xifeng Wu, Rajesh Kumar, Jakob Linseisen, Nikolai N. Chekanov, Domenico Palli, Stephanie J. Weinstein, Inger Njølstad, Mario Foglio, Lars J. Vatten, Meredith Yeager, Xia Pu, Robert L. Grubb, Oxana Shangina, Christopher G. Wood, Patricia Harnden, Lenka Foretova, Purdue, M.P., Johansson, M., Zelenika, D., Toro, J.R., Scelo, G., Moore, L.E., Prokhortchouk, E., Wu, X., Kiemeney, L.A., Gaborieau, V., Jacobs, K.B., Chow, W.-H., Zaridze, D., Matveev, V., Lubinski, J., Trubicka, J., Szeszenia-Dabrowska, N., Lissowska, J., Rudnai, P., Fabianova, E., Bucur, A., Bencko, V., Foretova, L., Janout, V., Boffetta, P., Colt, J.S., Davis, F.G., Schwartz, K.L., Banks, R.E., Selby, P.J., Harnden, P., Berg, C.D., Hsing, A.W., Grubb, R.L., Boeing, H., Vineis, P., Clavel-Chapelon, F., Palli, D., Tumino, R., Krogh, V., Panico, S., Duell, E.J., Quiós, J.R., Sanchez, M.-J., Navarro, C., Ardanaz, E., Dorronsoro, M., Khaw, K.-T., Allen, N.E., Bueno-De-Mesquita, H.B., Peeters, P.H.M., Trichopoulos, D., Linseisen, J., Ljungberg, B., Overvad, K., Tjønneland, A., Romieu, I., Riboli, E., Mukeria, A., Shangina, O., Stevens, V.L., Thun, M.J., Diver, W.R., Gapstur, S.M., Pharoah, P.D., Easton, D.F., Albanes, D., Weinstein, S.J., Virtamo, J., Vatten, L., Hveem, K., Njølstad, I., Tell, G.S., Stoltenberg, C., Kumar, R., Koppova, K., Cussenot, O., Benhamou, S., Oosterwijk, E., Vermeulen, S.H., Aben, K.K.H., Van Der Marel, S.L., Ye, Y., Wood, C.G., Pu, X., Mazur, A.M., Boulygina, E.S., Chekanov, N.N., Foglio, M., Lechner, D., Gut, I., Heath, S., Blanche, H., Hutchinson, A., Thomas, G., Wang, Z., Yeager, M., Fraumeni Jr., J.F., Skryabin, K.G., McKay, J.D., Rothman, N., Chanock, S.J., Lathrop, M., and Brennan, P.

Subjects
Genetics and epigenetic pathways of disease [NCMLS 6], Single-nucleotide polymorphism, Locus (genetics), Genome-wide association study, Biology, carcinoma, association study, Genome, Polymorphism, Single Nucleotide, susceptibility, Article, Càncer de ronyó, Genomic disorders and inherited multi-system disorders [IGMD 3], Molecular epidemiology [NCEBP 1], 03 medical and health sciences, 0302 clinical medicine, Gene mapping, Risk Factors, Genetics, Humans, Genetic Predisposition to Disease, Genome-wide, Gene, Carcinoma, Renal Cell, 030304 developmental biology, 11q13.3, Molecular epidemiology Aetiology, screening and detection [NCEBP 1], 0303 health sciences, Genome, Human, Chromosomes, Human, Pair 11, Kidney cancer, Genomics, 2p21, SCARB1, Kidney Neoplasms, 3. Good health, Genòmica, 030220 oncology & carcinogenesis, Case-Control Studies, Chromosomes, Human, Pair 2, loci, Human genome, renal, Genome-Wide Association Study
Abstract

Contains fulltext : 97937.pdf (Publisher’s version ) (Closed access) We conducted a two-stage genome-wide association study of renal cell carcinoma (RCC) in 3,772 affected individuals (cases) and 8,505 controls of European background from 11 studies and followed up 6 SNPs in 3 replication studies of 2,198 cases and 4,918 controls. Two loci on the regions of 2p21 and 11q13.3 were associated with RCC susceptibility below genome-wide significance. Two correlated variants (r(2) = 0.99 in controls), rs11894252 (P = 1.8 x 10) and rs7579899 (P = 2.3 x 10), map to EPAS1 on 2p21, which encodes hypoxia-inducible-factor-2 alpha, a transcription factor previously implicated in RCC. The second locus, rs7105934, at 11q13.3, contains no characterized genes (P = 7.8 x 10(1)). In addition, we observed a promising association on 12q24.31 for rs4765623, which maps to SCARB1, the scavenger receptor class B, member 1 gene (P = 2.6 x 10). Our study reports previously unidentified genomic regions associated with RCC risk that may lead to new etiological insights.

Published
2011

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