Statistical Genetic Analysis of Complex Craniofacial and Dental Genetic Disorders

复杂颅面和牙齿遗传疾病的统计遗传分析

• 批准号: 7933241
• 负责人: Manika Govil
• 金额: $ 4.85万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-01-01 至 2011-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7933241
• 关键词: Accounting; Address; Adopted; Alcohol consumption; Algorithms; Area; Autistic Disorder; Award; Bayesian Analysis; Bayesian Method; Behavior; Behavioral; Benchmarking; Birth; Classification; Cleaved cell; Cleft Lip; Cleft Palate; Clinical; Complex; Complex Genetic Trait; Computational Technique; Data; Data Analyses; Dental Schools; Detection; Development; Development Plans; Educational workshop; Environment; Environmental Risk Factor; Epidemiology; Equilibrium; Ethnic Origin; Etiology; Family; Funding; Gene Frequency; Genes; Genetic; Genetic Models; Genotype; Goals; Grant; Health Status; Hereditary Disease; Heterogeneity; Human; Incidence; Individual; Intake; Interdisciplinary Study; Ions; Knowledge; Linkage Disequilibrium; Maps; Measurable; Medicine; Mentors; Methods; Modeling; Nature; Oral health; Palate; Performance; Phase; Phenotype; Population; Population Heterogeneity; Postdoctoral Fellow; Prevalence; Principal Investigator; Probability; Process; Public Health; Research; Research Personnel; Research Training; Science of genetics; Scientist; Series; Societies; Statistical Methods; System; Tooth Diseases; Training; Universities; Variant; Veronica; Vitamins; base; career development; cluster computing; computer science; craniofacial; craniofacial complex; dental genetics; design; fetal; genetic analysis; genetic linkage analysis; genetic pedigree; health disparity; heuristics; improved; innovation; meetings; method development; multicore processor; novel strategies; orofacial; parallel computing; parallel processing; post-doctoral training; programs; public health relevance; research and development; research study; retinal rods; statistics; trait

DESCRIPTION (provided by applicant): Candidate: Dr. Manika Govil is a statistical geneticist currently undergoing postdoctoral training at the University of Pittsburgh School of Dental Medicine's Center for Craniofacial and Dental Genetics (CCDG). Her prior research focuses on extensions of the posterior probability of linkage (PPL), and includes a Bayesian reanalysis of cleft lip with/out cleft palate (CL/P) family data. Her short-term goal is to gain fundamental knowledge of craniofacial and dental genetic (CFDG) disorders, with special emphasis on understanding the etiology, epidemiology, and phenotypes of CL/P. A deeper understanding of CL/P and other complex genetic traits is critical to the development of methods with computationally feasible implementations that will be capable of modeling the expected heterogeneity in the data to identify multigenic causes. Her long-term goal is to become an independent, interdisciplinary research scientist with a funded research program that will bring together expertise in statistics and computer science to advance our understanding of complex traits like CFDG disorders. Environment: CCDG has ongoing NIDCR-funded grants examining craniofacial and dental disorders. The University of Pittsburgh has a long-standing track record of providing postdoctoral fellows and research associates with exceptional research and career development training. Mentors & Consultants: Dr. Mary Marazita will serve as the primary mentor for this award. She is the principal investigator on several CFDG grants, and has expertise in orofacial research. Dr. Veronica Vieland, an expert in statistical genetics, will serve as co-mentor on this grant She is the principal investigator on grants relating to methods development for complex traits, as well as grants for the analysis of complex traits like autism and CL/P. In addition, Drs. Jeffrey O'Connell and Daniel Weeks will contribute to Dr. Govil's training and research plan. Both Drs. O'Connell and Weeks have expertise in computational aspects of statistical genetic analysis. Research Career Development Plan: In addition to a series of tutorials conducted with the mentors/consultants in their areas of expertise, Dr. Govil will also participate in subject area relevant workshops, seminars, and society meetings. Research Study: The aim of this project is to develop computationally feasible statistical genetic methods and apply them to the analysis of complex CFDG disorders. Public Health Relevance: Complex genetic traits including craniofacial and dental genetic disorders like CL/P constitute a significant public health burden. The aim of this project is to further our understanding of CL/P and other complex traits by developing, implementing computationally, and applying in analyses, statistical methods that are capable of modelling genetic factors, with/out possible environmental factors, that may be responsible for such traits.

描述（由申请人提供）：候选人：Manika Govil博士是匹兹堡大学牙科医学学院颅面与牙齿遗传学中心（CCDG）的统计遗传学家。她的先前研究重点是后验概率（PPL）的扩展，并包括贝叶斯的重新分析，唇裂（Cl/p）家庭数据。她的短期目标是获得有关颅面和牙科遗传（CFDG）疾病的基本知识，并特别强调了Cl/p的病因学，流行病学和表型。对CL/P和其他复杂遗传特征的更深入了解对于通过计算可行的实现方法开发方法至关重要，这些实现将能够对数据中的预期异质性进行建模以识别多基因元原因。她的长期目标是通过一项资助的研究计划成为一名独立的，跨学科的研究科学家，该计划将汇集统计和计算机科学方面的专业知识，以促进我们对CFDG疾病等复杂性状的理解。环境：CCDG已进行了NIDCR资助的赠款，检查了颅面和牙齿疾病。匹兹堡大学拥有长期以来的记录，以提供博士后研究员和研究伙伴进行出色的研究和职业发展培训。导师与顾问：玛丽·马拉齐塔（Mary Marazita）博士将担任该奖项的主要导师。她是几项CFDG赠款的主要研究员，并且在口面研究方面具有专业知识。统计遗传学专家Veronica Vieland博士将担任该赠款的同事，她是与复杂性状的方法开发有关的赠款的主要研究者，以及分析自闭症和CL/P等复杂性状的赠款。另外，博士。 Jeffrey O'Connell和Daniel Weeks将为Govil博士的培训和研究计划做出贡献。两个博士。 O'Connell和Weeks在统计遗传分析的计算方面具有专业知识。研究职业发展计划：除了与导师/顾问在其专业知识领域进行的一系列教程外，Govil博士还将参加主题领域相关的讲习班，研讨会和社会会议。研究研究：该项目的目的是开发计算可行的统计遗传学方法，并将其应用于复杂CFDG疾病的分析。公共卫生相关性：复杂的遗传特征，包括颅面和牙科遗传疾病，例如Cl/p，构成了巨大的公共卫生负担。该项目的目的是通过开发，计算实施并应用于分析，统计方法，能够对遗传因素进行建模，具有/消除可能导致此类性状的可能造成这种特征的环境因素，以进一步我们对CL/P和其他复杂性状的理解。