BMC Medical Genomics | |
Identification of genetic risk variants for deep vein thrombosis by multiplexed next-generation sequencing of 186 hemostatic/pro-inflammatory genes | |
Flora Peyvandi2  Richard A Gibbs3  Pier M Mannucci2  Donna M Muzny3  Matthew N Bainbridge3  Yuanqing Wu3  Humeira Akbar3  Lora L Lewis3  Steven E Scherer3  Marzia Menegatti2  Emanuela Pappalardo2  Dario Consonni1  Serena M Passamonti2  Fuli Yu3  Ida Martinelli2  Jin Yu3  Mark Wang3  Luca A Lotta3  | |
[1] Unit of Epidemiology, Fondazione IRCCS Cà Granda - Ospedale Maggiore Policlinico, Università degli Studi di Milano, Milan, Italy;Angelo Bianchi Bonomi Hemophilia and Thrombosis Center, U.O.S. Dipartimentale per la Diagnosi e la Terapia delle Coagulopatie, Fondazione IRCCS Cà Granda - Ospedale Maggiore Policlinico, Università degli Studi di Milano and Luigi Villa Foundation, Milan, Italy;Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA | |
关键词: VTE; DVT; heamostateome; rs6025; FGA; multiplexing; target capture; next-generation sequencing; venous thromboembolism; Deep vein thrombosis; | |
Others : 1135023 DOI : 10.1186/1755-8794-5-7 |
|
received in 2011-10-11, accepted in 2012-02-21, 发布年份 2012 |
【 摘 要 】
Background
Next-generation DNA sequencing is opening new avenues for genetic association studies in common diseases that, like deep vein thrombosis (DVT), have a strong genetic predisposition still largely unexplained by currently identified risk variants. In order to develop sequencing and analytical pipelines for the application of next-generation sequencing to complex diseases, we conducted a pilot study sequencing the coding area of 186 hemostatic/proinflammatory genes in 10 Italian cases of idiopathic DVT and 12 healthy controls.
Results
A molecular-barcoding strategy was used to multiplex DNA target capture and sequencing, while retaining individual sequence information. Genomic libraries with barcode sequence-tags were pooled (in pools of 8 or 16 samples) and enriched for target DNA sequences. Sequencing was performed on ABI SOLiD-4 platforms. We produced > 12 gigabases of raw sequence data to sequence at high coverage (average: 42X) the 700-kilobase target area in 22 individuals. A total of 1876 high-quality genetic variants were identified (1778 single nucleotide substitutions and 98 insertions/deletions). Annotation on databases of genetic variation and human disease mutations revealed several novel, potentially deleterious mutations. We tested 576 common variants in a case-control association analysis, carrying the top-5 associations over to replication in up to 719 DVT cases and 719 controls. We also conducted an analysis of the burden of nonsynonymous variants in coagulation factor and anticoagulant genes. We found an excess of rare missense mutations in anticoagulant genes in DVT cases compared to controls and an association for a missense polymorphism of FGA (rs6050; p = 1.9 × 10-5, OR 1.45; 95% CI, 1.22-1.72; after replication in > 1400 individuals).
Conclusions
We implemented a barcode-based strategy to efficiently multiplex sequencing of hundreds of candidate genes in several individuals. In the relatively small dataset of our pilot study we were able to identify bona fide associations with DVT. Our study illustrates the potential of next-generation sequencing for the discovery of genetic variation predisposing to complex diseases.
【 授权许可】
2012 Lotta et al; licensee BioMed Central Ltd.
Files | Size | Format | View |
---|---|---|---|
Figure 2. | 42KB | Image | download |
Figure 1. | 34KB | Image | download |
【 图 表 】
Figure 1.
Figure 2.
【 参考文献 】
- [1]Tapson VF: Acute pulmonary embolism. N Engl J Med 2008, 358:1037-52.
- [2]Sørensen HT, Riis AH, Diaz LJ, Andersen EW, Baron JA, Andersen PK: Familial risk of venous thromboembolism: a nationwide cohort study. J Thromb Haemost 2011, 9:320-4.
- [3]Souto JC, Almasy L, Borrell M, Blanco-Vaca F, Mateo J, Soria JM, Coll I, Felices R, Stone W, Fontcuberta J, Blangero J: Genetic susceptibility to thrombosis and its relationship to physiological risk factors: the GAIT study. Genetic Analysis of Idiopathic Thrombophilia. Am J Hum Genet 2000, 67:1452-9.
- [4]Heit JA, Phelps MA, Ward SA, Slusser JP, Petterson TM, De Andrade M: Familial segregation of venous thromboembolism. J Thromb Haemost 2004, 2:731-6.
- [5]Larsen TB, Sørensen HT, Skytthe A, Johnsen SP, Vaupel JW, Christensen K: Major genetic susceptibility for venous thromboembolism in men: a study of Danish twins. Epidemiology 2003, 14:328-32.
- [6]Dahlbäck B: Advances in understanding pathogenic mechanisms of thrombophilic disorders. Blood 2008, 112:19-27.
- [7]Bezemer ID, Bare LA, Doggen CJ, Arellano AR, Tong C, Rowland CM, Catanese J, Young BA, Reitsma PH, Devlin JJ, Rosendaal FR: Gene variants associated with deep vein thrombosis. JAMA 2008, 299:1306-14.
- [8]Trégouët DA, Heath S, Saut N, Biron-Andreani C, Schved JF, Pernod G, Galan P, Drouet L, Zelenika D, Juhan-Vague I, Alessi MC, Tiret L, Lathrop M, Emmerich J, Morange PE: Common susceptibility alleles are unlikely to contribute as strongly as the FV and ABO loci to VTE risk: results from a GWAS approach. Blood 2009, 113:5298-303.
- [9]Morange PE, Bezemer I, Saut N, Bare L, Burgos G, Brocheton J, Durand H, Biron-Andreani C, Schved JF, Pernod G, Galan P, Drouet L, Zelenika D, Germain M, Nicaud V, Heath S, Ninio E, Delluc A, Münzel T, Zeller T, Brand-Herrmann SM, Alessi MC, Tiret L, Lathrop M, Cambien F, Blankenberg S, Emmerich J, Trégouët DA, Rosendaal FR: A follow-up study of a genome-wide association scan identifies a susceptibility locus for venous thrombosis on chromosome 6p24.1. Am J Hum Genet 2010, 86:592-5.
- [10]Morange PE, Tregouet DA: Deciphering the molecular basis of venous thromboembolism: where are we and where should we go? Br J Haematol 2010, 148:495-506.
- [11]Ng SB, Turner EH, Robertson PD, Flygare SD, Bigham AW, Lee C, Shaffer T, Wong M, Bhattacharjee A, Eichler EE, Bamshad M, Nickerson DA, Shendure J: Targeted capture and massively parallel sequencing of 12 human exomes. Nature 2009, 461:272-6.
- [12]Ng SB, Buckingham KJ, Lee C, Bigham AW, Tabor HK, Dent KM, Huff CD, Shannon PT, Jabs EW, Nickerson DA, Shendure J, Bamshad MJ: Exome sequencing identifies the cause of a mendelian disorder. Nat Genet 2010, 42:30-5.
- [13]Lupski JR, Reid JG, Gonzaga-Jauregui C, Rio Deiros D, Chen DC, Nazareth L, Bainbridge M, Dinh H, Jing C, Wheeler DA, McGuire AL, Zhang F, Stankiewicz P, Halperin JJ, Yang C, Gehman C, Guo D, Irikat RK, Tom W, Fantin NJ, Muzny DM, Gibbs RA: Whole-genome sequencing in a patient with Charcot-Marie-Tooth neuropathy. N Engl J Med 2010, 362:1181-91.
- [14]Frezzato M, Tosetto A, Rodeghiero F: Validated questionnaire for the identification of previous personal or familial venous thromboembolism. Am J Epidemiol 1996, 143:1257-65.
- [15][http:/ / www.appliedbiosystems.com/ absite/ us/ en/ home/ applications-technologies/ solid-next-generation-sequencing/ next-generation-systems/ solid-sequencing-chemistry.html] webcite
- [16]Homer N, Merriman B, Nelson SF: BFAST: An alignment tool for large scale genome resequencing. PLoS ONE 2009, 4:e7767.
- [17]Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R, 1000 Genome Project Data Processing Subgroup: The Sequence alignment/map (SAM) format and SAMtools. Bioinformatics 2009, 25:2078-9.
- [18]1000 Genomes Project Consortium, Durbin RM, Abecasis GR, Altshuler DL, Auton A, Brooks LD, Durbin RM, Gibbs RA, Hurles ME, McVean GA: A map of human genome variation from population-scale sequencing. Nature 2010, 467:1061-73.
- [19]Wang K, Li M, Hakonarson H: ANNOVAR: Functional annotation of genetic variants from next-generation sequencing data. Nucleic Acids Research 2010, 38:e164.
- [20]Ng PC, Henikoff S: Accounting for human polymorphisms predicted to affect protein function. Genome Res 2002, 12:436-46.
- [21]Adzhubei IA, Schmidt S, Peshkin L, Ramensky VE, Gerasimova A, Bork P, Kondrashov AS, Sunyaev SR: A method and server for predicting damaging missense mutations. Nat Methods 2010, 7:248-249.
- [22]Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, Sham PC: PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 2007, 81:559-75.
- [23]Zhang J, Wheeler DA, Yakub I, Wei S, Sood R, Rowe W, Liu PP, Gibbs RA, Buetow KH: SNPdetector: a software tool for sensitive and accurate SNP detection. PLoS Comput Biol 2005, 1:e53.
- [24]Stenson PD, Mort M, Ball EV, Howells K, Phillips AD, Thomas NS, Cooper DN: The Human Gene Mutation Database: 2008 update. Genome Med 2009, 1:13. BioMed Central Full Text
- [25]Ko YL, Hsu LA, Hsu TS, Tsai CT, Teng MS, Wu S, Chang CJ, Lee YS: Functional polymorphisms of FGA, encoding alpha fibrinogen, are associated with susceptibility to venous thromboembolism in a Taiwanese population. Hum Genet 2006, 119:84-91.
- [26]Vaidya D, Yanek LR, Herrera-Galeano JE, Mathias RA, Moy TF, Faraday N, Becker LC, Becker DM: A common variant in the Von Willebrand factor gene is associated with multiple functional consequences. Am J Hematol 2010, 85:971-3.
- [27]Smith NL, Rice KM, Bovill EG, Cushman M, Bis JC, McKnight B, Lumley T, Glazer NL, van Hylckama Vlieg A, Tang W, Dehghan A, Strachan DP, O'Donnell CJ, Rotter JI, Heckbert SR, Psaty BM, Rosendaal FR: Genetic variation associated with plasma von Willebrand factor levels and the risk of incident venous thrombosis. Blood 2011, 117:6007-11.
- [28]Momozawa Y, Mni M, Nakamura K, Coppieters W, Almer S, Amininejad L, Cleynen I, Colombel JF, de Rijk P, Dewit O, Finkel Y, Gassull MA, Goossens D, Laukens D, Lémann M, Libioulle C, O'Morain C, Reenaers C, Rutgeerts P, Tysk C, Zelenika D, Lathrop M, Del-Favero J, Hugot JP, de Vos M, Franchimont D, Vermeire S, Louis E, Georges M: Resequencing of positional candidates identifies low frequency IL23R coding variants protecting against inflammatory bowel disease. Nat Genet 2011, 43:43-7.
- [29]Shearer AE, DeLuca AP, Hildebrand MS, Taylor KR, Gurrola J, Scherer S, Scheetz TE, Smith RJ: Comprehensive genetic testing for hereditary hearing loss using massively parallel sequencing. Proc Natl Acad Sci USA 2010, 107:21104-9.
- [30]Fechtel K, Osterbur ML, Kehrer-Sawatzki H, Stenson PD, Cooper DN: Delineating the Hemostaseome as an aid to individualize the analysis of the hereditary basis of thrombotic and bleeding disorders. Hum Genet 2011, 130:149-66.
- [31]Dewey FE, Chen R, Cordero SP, Ormond KE, Caleshu C, Karczewski KJ, Whirl-Carrillo M, Wheeler MT, Dudley JT, Byrnes JK, Cornejo OE, Knowles JW, Woon M, Sangkuhl K, Gong L, Thorn CF, Hebert JM, Capriotti E, David SP, Pavlovic A, West A, Thakuria JV, Ball MP, Zaranek AW, Rehm HL, Church GM, West JS, Bustamante CD, Snyder M, Altman RB, Klein TE, Butte AJ, Ashley EA: Phased whole-genome genetic risk in a family quartet using a major allele reference sequence. PLoS Genet 2011, 7:e1002280.
- [32]Carter AM, Catto AJ, Kohler HP, Ariëns RA, Stickland MH, Grant PJ: alpha-fibrinogen Thr312Ala polymorphism and venous thromboembolism. Blood 2000, 96(3):1177-9. Aug 1
- [33]Rasmussen-Torvik LJ, Cushman M, Tsai MY, Zhang Y, Heckbert SR, Rosamond WD, Folsom AR: The association of alpha-fibrinogen Thr312Ala polymorphism and venous thromboembolism in the LITE study. Thromb Res 2007, 121:1-7.
- [34]Arellano AR, Bezemer ID, Tong CH, Catanese JJ, Devlin JJ, Reitsma PH, Bare LA, Rosendaal FR: Gene variants associated with venous thrombosis: confirmation in the MEGA study. J Thromb Haemost 2010, 8:1132-4.
- [35]Standeven KF, Grant PJ, Carter AM, Scheiner T, Weisel JW, Ariëns RA: Functional analysis of the fibrinogen alpha Thr312Ala polymorphism: effects on fibrin structure and function. Circulation 2003, 107:2326-30.