排序方式: 共有7条查询结果,搜索用时 585 毫秒
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Rivas MA Beaudoin M Gardet A Stevens C Sharma Y Zhang CK Boucher G Ripke S Ellinghaus D Burtt N Fennell T Kirby A Latiano A Goyette P Green T Halfvarson J Haritunians T Korn JM Kuruvilla F Lagacé C Neale B Lo KS Schumm P Törkvist L;National Institute of Diabetes Digestive Kidney Diseases Inflammatory Bowel Disease Genetics Consortium 《Nature genetics》2011,43(11):1066-1073
More than 1,000 susceptibility loci have been identified through genome-wide association studies (GWAS) of common variants; however, the specific genes and full allelic spectrum of causal variants underlying these findings have not yet been defined. Here we used pooled next-generation sequencing to study 56 genes from regions associated with Crohn's disease in 350 cases and 350 controls. Through follow-up genotyping of 70 rare and low-frequency protein-altering variants in nine independent case-control series (16,054 Crohn's disease cases, 12,153 ulcerative colitis cases and 17,575 healthy controls), we identified four additional independent risk factors in NOD2, two additional protective variants in IL23R, a highly significant association with a protective splice variant in CARD9 (P < 1 × 10(-16), odds ratio ≈ 0.29) and additional associations with coding variants in IL18RAP, CUL2, C1orf106, PTPN22 and MUC19. We extend the results of successful GWAS by identifying new, rare and probably functional variants that could aid functional experiments and predictive models. 相似文献
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Berger MF Lawrence MS Demichelis F Drier Y Cibulskis K Sivachenko AY Sboner A Esgueva R Pflueger D Sougnez C Onofrio R Carter SL Park K Habegger L Ambrogio L Fennell T Parkin M Saksena G Voet D Ramos AH Pugh TJ Wilkinson J Fisher S Winckler W Mahan S Ardlie K Baldwin J Simons JW Kitabayashi N MacDonald TY Kantoff PW Chin L Gabriel SB Gerstein MB Golub TR Meyerson M Tewari A Lander ES Getz G Rubin MA Garraway LA 《Nature》2011,470(7333):214-220
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介绍了轿车车门断面设计的基本方法,探讨了控制断面的作用和设置原则.结合车门间隙、车门密封、车门运动校核及车门结构件连接等具体设计过程,分析了车门断面设计中需要考虑的控制要素,阐述了轿车车门断面设计的基本思路和程序. 相似文献
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Berger MF Hodis E Heffernan TP Deribe YL Lawrence MS Protopopov A Ivanova E Watson IR Nickerson E Ghosh P Zhang H Zeid R Ren X Cibulskis K Sivachenko AY Wagle N Sucker A Sougnez C Onofrio R Ambrogio L Auclair D Fennell T Carter SL Drier Y Stojanov P Singer MA Voet D Jing R Saksena G Barretina J Ramos AH Pugh TJ Stransky N Parkin M Winckler W Mahan S Ardlie K Baldwin J Wargo J Schadendorf D Meyerson M Gabriel SB Golub TR Wagner SN Lander ES Getz G Chin L Garraway LA 《Nature》2012,485(7399):502-506
Melanoma is notable for its metastatic propensity, lethality in the advanced setting and association with ultraviolet exposure early in life. To obtain a comprehensive genomic view of melanoma in humans, we sequenced the genomes of 25 metastatic melanomas and matched germline DNA. A wide range of point mutation rates was observed: lowest in melanomas whose primaries arose on non-ultraviolet-exposed hairless skin of the extremities (3 and 14 per megabase (Mb) of genome), intermediate in those originating from hair-bearing skin of the trunk (5-55 per Mb), and highest in a patient with a documented history of chronic sun exposure (111 per Mb). Analysis of whole-genome sequence data identified PREX2 (phosphatidylinositol-3,4,5-trisphosphate-dependent Rac exchange factor 2)--a PTEN-interacting protein and negative regulator of PTEN in breast cancer--as a significantly mutated gene with a mutation frequency of approximately 14% in an independent extension cohort of 107 human melanomas. PREX2 mutations are biologically relevant, as ectopic expression of mutant PREX2 accelerated tumour formation of immortalized human melanocytes in vivo. Thus, whole-genome sequencing of human melanoma tumours revealed genomic evidence of ultraviolet pathogenesis and discovered a new recurrently mutated gene in melanoma. 相似文献
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Neale BM Kou Y Liu L Ma'ayan A Samocha KE Sabo A Lin CF Stevens C Wang LS Makarov V Polak P Yoon S Maguire J Crawford EL Campbell NG Geller ET Valladares O Schafer C Liu H Zhao T Cai G Lihm J Dannenfelser R Jabado O Peralta Z Nagaswamy U Muzny D Reid JG Newsham I Wu Y Lewis L Han Y Voight BF Lim E Rossin E Kirby A Flannick J Fromer M Shakir K Fennell T Garimella K Banks E Poplin R Gabriel S DePristo M Wimbish JR Boone BE Levy SE Betancur C Sunyaev S Boerwinkle E Buxbaum JD Cook EH Devlin B 《Nature》2012,485(7397):242-245
Autism spectrum disorders (ASD) are believed to have genetic and environmental origins, yet in only a modest fraction of individuals can specific causes be identified. To identify further genetic risk factors, here we assess the role of de novo mutations in ASD by sequencing the exomes of ASD cases and their parents (n = 175 trios). Fewer than half of the cases (46.3%) carry a missense or nonsense de novo variant, and the overall rate of mutation is only modestly higher than the expected rate. In contrast, the proteins encoded by genes that harboured de novo missense or nonsense mutations showed a higher degree of connectivity among themselves and to previous ASD genes as indexed by protein-protein interaction screens. The small increase in the rate of de novo events, when taken together with the protein interaction results, are consistent with an important but limited role for de novo point mutations in ASD, similar to that documented for de novo copy number variants. Genetic models incorporating these data indicate that most of the observed de novo events are unconnected to ASD; those that do confer risk are distributed across many genes and are incompletely penetrant (that is, not necessarily sufficient for disease). Our results support polygenic models in which spontaneous coding mutations in any of a large number of genes increases risk by 5- to 20-fold. Despite the challenge posed by such models, results from de novo events and a large parallel case-control study provide strong evidence in favour of CHD8 and KATNAL2 as genuine autism risk factors. 相似文献
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A framework for variation discovery and genotyping using next-generation DNA sequencing data 总被引:7,自引:0,他引:7
DePristo MA Banks E Poplin R Garimella KV Maguire JR Hartl C Philippakis AA del Angel G Rivas MA Hanna M McKenna A Fennell TJ Kernytsky AM Sivachenko AY Cibulskis K Gabriel SB Altshuler D Daly MJ 《Nature genetics》2011,43(5):491-498
Recent advances in sequencing technology make it possible to comprehensively catalog genetic variation in population samples, creating a foundation for understanding human disease, ancestry and evolution. The amounts of raw data produced are prodigious, and many computational steps are required to translate this output into high-quality variant calls. We present a unified analytic framework to discover and genotype variation among multiple samples simultaneously that achieves sensitive and specific results across five sequencing technologies and three distinct, canonical experimental designs. Our process includes (i) initial read mapping; (ii) local realignment around indels; (iii) base quality score recalibration; (iv) SNP discovery and genotyping to find all potential variants; and (v) machine learning to separate true segregating variation from machine artifacts common to next-generation sequencing technologies. We here discuss the application of these tools, instantiated in the Genome Analysis Toolkit, to deep whole-genome, whole-exome capture and multi-sample low-pass (~4×) 1000 Genomes Project datasets. 相似文献
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