Literature DB >> 21811304

Sequencing of high-complexity DNA pools for identification of nucleotide and structural variants in regions associated with complex traits.

Ghazal Zaboli1, Adam Ameur, Wilmar Igl, Åsa Johansson, Caroline Hayward, Veronique Vitart, Susan Campbell, Lina Zgaga, Ozren Polasek, Gerd Schmitz, Cornelia van Duijn, Ben Oostra, Peter Pramstaller, Andrew Hicks, Tomas Meitinger, Igor Rudan, Alan Wright, James F Wilson, Harry Campbell, Ulf Gyllensten.   

Abstract

We have used targeted genomic sequencing of high-complexity DNA pools based on long-range PCR and deep DNA sequencing by the SOLiD technology. The method was used for sequencing of 286 kb from four chromosomal regions with quantitative trait loci (QTL) influencing blood plasma lipid and uric acid levels in DNA pools of 500 individuals from each of five European populations. The method shows very good precision in estimating allele frequencies as compared with individual genotyping of SNPs (r(2) = 0.95, P < 10(-16)). Validation shows that the method is able to identify novel SNPs and estimate their frequency in high-complexity DNA pools. In our five populations, 17% of all SNPs and 61% of structural variants are not available in the public databases. A large fraction of the novel variants show a limited geographic distribution, with 62% of the novel SNPs and 59% of novel structural variants being detected in only one of the populations. The large number of population-specific novel SNPs underscores the need for comprehensive sequencing of local populations in order to identify the causal variants of human traits.

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Year:  2011        PMID: 21811304      PMCID: PMC3234506          DOI: 10.1038/ejhg.2011.138

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  29 in total

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Review 2.  DNA Pooling: a tool for large-scale association studies.

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Review 4.  Next-generation sequencing: from basic research to diagnostics.

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5.  Deep sequencing to reveal new variants in pooled DNA samples.

Authors:  Astrid A Out; Ivonne J H M van Minderhout; Jelle J Goeman; Yavuz Ariyurek; Stephan Ossowski; Korbinian Schneeberger; Detlef Weigel; Michiel van Galen; Peter E M Taschner; Carli M J Tops; Martijn H Breuning; Gert-Jan B van Ommen; Johan T den Dunnen; Peter Devilee; Frederik J Hes
Journal:  Hum Mutat       Date:  2009-12       Impact factor: 4.878

6.  Integrating common and rare genetic variation in diverse human populations.

Authors:  David M Altshuler; Richard A Gibbs; Leena Peltonen; David M Altshuler; Richard A Gibbs; Leena Peltonen; Emmanouil Dermitzakis; Stephen F Schaffner; Fuli Yu; Leena Peltonen; Emmanouil Dermitzakis; Penelope E Bonnen; David M Altshuler; Richard A Gibbs; Paul I W de Bakker; Panos Deloukas; Stacey B Gabriel; Rhian Gwilliam; Sarah Hunt; Michael Inouye; Xiaoming Jia; Aarno Palotie; Melissa Parkin; Pamela Whittaker; Fuli Yu; Kyle Chang; Alicia Hawes; Lora R Lewis; Yanru Ren; David Wheeler; Richard A Gibbs; Donna Marie Muzny; Chris Barnes; Katayoon Darvishi; Matthew Hurles; Joshua M Korn; Kati Kristiansson; Charles Lee; Steven A McCarrol; James Nemesh; Emmanouil Dermitzakis; Alon Keinan; Stephen B Montgomery; Samuela Pollack; Alkes L Price; Nicole Soranzo; Penelope E Bonnen; Richard A Gibbs; Claudia Gonzaga-Jauregui; Alon Keinan; Alkes L Price; Fuli Yu; Verneri Anttila; Wendy Brodeur; Mark J Daly; Stephen Leslie; Gil McVean; Loukas Moutsianas; Huy Nguyen; Stephen F Schaffner; Qingrun Zhang; Mohammed J R Ghori; Ralph McGinnis; William McLaren; Samuela Pollack; Alkes L Price; Stephen F Schaffner; Fumihiko Takeuchi; Sharon R Grossman; Ilya Shlyakhter; Elizabeth B Hostetter; Pardis C Sabeti; Clement A Adebamowo; Morris W Foster; Deborah R Gordon; Julio Licinio; Maria Cristina Manca; Patricia A Marshall; Ichiro Matsuda; Duncan Ngare; Vivian Ota Wang; Deepa Reddy; Charles N Rotimi; Charmaine D Royal; Richard R Sharp; Changqing Zeng; Lisa D Brooks; Jean E McEwen
Journal:  Nature       Date:  2010-09-02       Impact factor: 49.962

7.  A map of human genome variation from population-scale sequencing.

Authors:  Gonçalo R Abecasis; David Altshuler; Adam Auton; Lisa D Brooks; Richard M Durbin; Richard A Gibbs; Matt E Hurles; Gil A McVean
Journal:  Nature       Date:  2010-10-28       Impact factor: 49.962

8.  Identification of rare alleles and their carriers using compressed se(que)nsing.

Authors:  Noam Shental; Amnon Amir; Or Zuk
Journal:  Nucleic Acids Res       Date:  2010-08-10       Impact factor: 16.971

9.  Common variants in the JAZF1 gene associated with height identified by linkage and genome-wide association analysis.

Authors:  Asa Johansson; Fabio Marroni; Caroline Hayward; Christopher S Franklin; Anatoly V Kirichenko; Inger Jonasson; Andrew A Hicks; Veronique Vitart; Aaron Isaacs; Tatiana Axenovich; Susan Campbell; Malcolm G Dunlop; Jamie Floyd; Nick Hastie; Albert Hofman; Sara Knott; Ivana Kolcic; Irene Pichler; Ozren Polasek; Fernando Rivadeneira; Albert Tenesa; André G Uitterlinden; Sarah H Wild; Irina V Zorkoltseva; Thomas Meitinger; James F Wilson; Igor Rudan; Harry Campbell; Cristian Pattaro; Peter Pramstaller; Ben A Oostra; Alan F Wright; Cornelia M van Duijn; Yurii S Aulchenko; Ulf Gyllensten
Journal:  Hum Mol Genet       Date:  2008-10-24       Impact factor: 6.150

10.  The genetic study of three population microisolates in South Tyrol (MICROS): study design and epidemiological perspectives.

Authors:  Cristian Pattaro; Fabio Marroni; Alice Riegler; Deborah Mascalzoni; Irene Pichler; Claudia B Volpato; Umberta Dal Cero; Alessandro De Grandi; Clemens Egger; Agatha Eisendle; Christian Fuchsberger; Martin Gögele; Sara Pedrotti; Gerd K Pinggera; Stefan A Stefanov; Florian D Vogl; Christian J Wiedermann; Thomas Meitinger; Peter P Pramstaller
Journal:  BMC Med Genet       Date:  2007-06-05       Impact factor: 2.103

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  6 in total

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Journal:  Genet Res (Camb)       Date:  2015-09-14       Impact factor: 1.588

2.  Genetic adaptation of fatty-acid metabolism: a human-specific haplotype increasing the biosynthesis of long-chain omega-3 and omega-6 fatty acids.

Authors:  Adam Ameur; Stefan Enroth; Asa Johansson; Ghazal Zaboli; Wilmar Igl; Anna C V Johansson; Manuel A Rivas; Mark J Daly; Gerd Schmitz; Andrew A Hicks; Thomas Meitinger; Lars Feuk; Cornelia van Duijn; Ben Oostra; Peter P Pramstaller; Igor Rudan; Alan F Wright; James F Wilson; Harry Campbell; Ulf Gyllensten
Journal:  Am J Hum Genet       Date:  2012-04-12       Impact factor: 11.025

3.  Determination of the obesity-associated gene variants within the entire FTO gene by ultra-deep targeted sequencing in obese and lean children.

Authors:  M Sällman Almén; M Rask-Andersen; J A Jacobsson; A Ameur; I Kalnina; G Moschonis; S Juhlin; N Bringeland; L A Hedberg; V Ignatovica; G P Chrousos; Y Manios; J Klovins; C Marcus; U Gyllensten; R Fredriksson; H B Schiöth
Journal:  Int J Obes (Lond)       Date:  2012-04-24       Impact factor: 5.095

4.  Lessons learned from implementing a national infrastructure in Sweden for storage and analysis of next-generation sequencing data.

Authors:  Samuel Lampa; Martin Dahlö; Pall I Olason; Jonas Hagberg; Ola Spjuth
Journal:  Gigascience       Date:  2013-06-25       Impact factor: 6.524

5.  PATZ1 down-regulates FADS1 by binding to rs174557 and is opposed by SP1/SREBP1c.

Authors:  Gang Pan; Adam Ameur; Stefan Enroth; Madhusudhan Bysani; Helena Nord; Marco Cavalli; Magnus Essand; Ulf Gyllensten; Claes Wadelius
Journal:  Nucleic Acids Res       Date:  2017-03-17       Impact factor: 16.971

6.  SweGen: a whole-genome data resource of genetic variability in a cross-section of the Swedish population.

Authors:  Adam Ameur; Johan Dahlberg; Pall Olason; Francesco Vezzi; Robert Karlsson; Marcel Martin; Johan Viklund; Andreas Kusalananda Kähäri; Pär Lundin; Huiwen Che; Jessada Thutkawkorapin; Jesper Eisfeldt; Samuel Lampa; Mats Dahlberg; Jonas Hagberg; Niclas Jareborg; Ulrika Liljedahl; Inger Jonasson; Åsa Johansson; Lars Feuk; Joakim Lundeberg; Ann-Christine Syvänen; Sverker Lundin; Daniel Nilsson; Björn Nystedt; Patrik Ke Magnusson; Ulf Gyllensten
Journal:  Eur J Hum Genet       Date:  2017-08-23       Impact factor: 4.246

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