10th International Meeting on Human Genome Variation and Complex Genome (HGV2008)
10th International Meeting on Human Genome Variation and Complex Genome (HGV2008)
批准号:
7539872
负责人:
Pui-Yan KWOK
金额:
$2.0万
依托单位国家:
美国
项目类别:
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-09-01 至 2009-07-31
关键词:
AccountingAdverse effectsAreaCanadaCollaborationsComplexCopy Number PolymorphismDiseaseDoctor of MedicineDoctor of PhilosophyDoseEvolutionFacultyFundingGeneticGenomeGoalsHealthHumanHuman GenomeHuman ResourcesInternationalLife StyleMedicineMolecular EvolutionNumbersPharmaceutical PreparationsPhasePublic HealthPublicationsPublishingResearchResearch PersonnelRiskTimeUnited States National Institutes of HealthVariantbasecomparativedaygenetic profilinghuman diseasemembernew technologyperformance sitepreventsocial
中文摘要
描述(由申请人提供): 该提案寻求NHGRI资助,以部分支持来自代表性不足群体的美国初级教师和美国学员参加将于2008年10月15日至17日在加拿大多伦多的老磨坊酒店举行的第10届人类基因组变异和复杂基因组分析国际会议(HGV 2008)。HGV 2008会议特别及时,因为人类基因组变异研究领域进展非常快,HapMap第一阶段项目于2005年10月完成,HapMap第二阶段结果于2007年10月发表。人们也越来越认识到,基因组的拷贝数多态性和结构变异是人类进化的重要标志和人类疾病的原因。此外,最近发表了一些全基因组研究的结果,还有更多的全基因组研究正在进行中,这些研究的结果将在本次会议举行时提交。在HGV 2008中,我们将致力于人类变异研究的新兴领域的大量报道,并汇集不同领域的研究人员,以促进合作,并推动该领域进一步沿着。这个为期三天的会议的独特之处在于,它汇集了人类变异研究许多领域的顶尖研究人员,从将极大地改变该领域的全新技术,到不同类型人类变异产生的机制,到考虑拷贝数变异的HapMap时代遗传研究的新统计方法,基于比较基因组变异分析的分子进化研究,以及人类变异研究的社会和伦理意义。
演出地点:加拿大多伦多老磨坊酒店主要人员:郭佩欣医学博士,博士UCSF P.I. Stephen J. Chanock,医学博士NIH,NCI Co-PI 在人类变异的快速发展领域,本次会议汇集了研究领域不同领域的专家,共同目标是确定影响人类健康和疾病的遗传因素。这次会议产生的研究合作将加速个性化医疗的到来,在这个时代,我们根据基因组成,改变我们的生活方式,以促进健康和预防疾病。如果我们真的生病了,我们的治疗是由我们的遗传特征指导的,这样最有益的药物就会以正确的剂量给予,并且不良副作用的风险最小。
英文摘要
DESCRIPTION (provided by applicant): This proposal seeks NHGRI funding to partially support US junior faculty members from under-represented groups and US trainees to attend the 10th International Meeting on Human Genome Variation and Complex Genome Analysis (HGV2008) to be held at the Old Mill Inn in Toronto, Canada from October 15-17, 2008. The HGV2008 meeting is particularly timely because the field of human genome variation research is moving very fast, with the completion of the HapMap Phase I Project in October 2005 and the publication of the HapMap Phase II results in October 2007. There is also increasing recognition that copy number polymorphisms and structural variations of the genome are important signatures of human evolution and causes of human diseases. In addition, results from a number of genome-wide studies have been published recently and many more genome-wide studies are underway and the results of these studies will be ready for presentation by the time this meeting is held. In HGV2008, we will devote substantial coverage of the emerging areas of human variation research and bring together investigators in diverse fields to promote collaborations and move the field even further along. The unique feature of this three-day meeting is that it brings together top researchers in the many areas of human variation research, from radically new technologies that will change the field dramatically, to the mechanisms of how different types of human variations came about, to new statistical approaches for genetic studies in the HapMap era that take into account copy number variations, to the study of molecular evolution based on comparative genome variation analysis, and to the social and ethical implications of human variation research.
Performance site: The Old Mill Inn, Toronto, Canada Key Personnel: Pui-Yan Kwok, M.D., Ph.D. UCSF P.I. Stephen J. Chanock, M.D. NIH, NCI Co-PI Public Health Relevance In the fast moving field of human variation, this meeting brings together experts of different parts of the research area with the common goal of identifying the genetic factors that influence human health and disease. The research collaborations resulting from this meeting will hasten the arrival of personalized medicine, an era when we, based on our genetic make-up, modify our life styles to promote health and prevent disease. If we do get sick, our treatments are guided by our genetic profile so that the most beneficial medication are given at the right dose and with minimal risk of adverse side effects.
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会议论文
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