Conference: Emerging Statistical and Quantitative Issues in Genomic Research in Health Sciences
会议:健康科学基因组研究中新出现的统计和定量问题
基本信息
- 批准号:2342821
- 负责人:
- 金额:$ 6.19万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2024
- 资助国家:美国
- 起止时间:2024-02-01 至 2027-01-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The 2023 Conference of the Program in Quantitative Genomics (PQG), entitled “Diversity in Genetics and Genomics” will take place at the Joseph B. Martin Conference Center at the Harvard Medical School on October 17-18, 2023. This long-standing Harvard T. H. Chan School Public Health Program in Quantitative Genomics Conference series focuses on timely interdisciplinary discussions on emerging statistical and computational challenges in genetic and genomic science. The focus of each conference evolves in parallel to scientific frontiers. A key feature of the series is its interdisciplinary nature, where quantitative and subject-matter scientists jointly discuss statistical and quantitative issues that arise in cutting-edge genetic and genomic research in human diseases. Conference participants critique existing quantitative methods, discuss emerging statistical and quantitative issues, identify priorities for future research, and disseminate results. Diversity in genetic and genomics has been increasingly embraced not only for enabling more powerful studies but also because of the need to avoid further exacerbation of structured inequalities in healthcare systems and to chart a path forward for their amelioration. Significant effort has been made in recent years to improve study participant and workforce diversity in genetics and genomics, including the inclusion of diverse groups in discovery and functional studies and translational efforts to empower or pave the road for equitable clinical impact. The 2023 conference will provide a platform to engage inter-disciplinary researchers to have in-depth discussions on the quantitative challenges and opportunities in increasing diversity in genetic and genomic research. We will make serious efforts to recruit junior researchers, including graduate students, postdoctoral fellows, in particular underrepresented minorities and women, as speakers and participants. The impetus for the 2023 conference theme comes from the pressing need to address the statistical and quantitative issues in diversity in genetic and genomic research. The three topics of the conference include (1) Diversity for gene mapping and studying variant functions; (2) Diversity for translational genetics: polygenic risk and clinical implementation; (3) How do we move forward while acknowledging the past? Examples of the first topic include multi-ancestry genetic association tests, fine-mapping, and eQTL analysis. Examples of the second topic include trans-ethnic polygenic risk prediction and transferred learning. Examples of the third topic include enhancing transparency in the use of population descriptors in genomics research and building global collaborative genetic research frameworks. The education and research activities discussed at the conference will make important contributions to advance efforts on increasing diversity of genetic and genomic research, and will help create the scientific basis and workforce required to ensure and sustain US competitiveness both economically and technologically, prolonging and saving lives, and promoting national security. For more information, see www.hsph.harvard.edu/pqg-conference/.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
2023年定量基因组学(PQG)计划会议,题为“遗传学和基因组学的多样性”将在约瑟夫B举行。2023年10月17日至18日,哈佛医学院马丁会议中心。 这个由来已久的哈佛T. H. Chan School Public Health Program in Quantitative Genomics Conference系列侧重于及时就遗传和基因组科学中新兴的统计和计算挑战进行跨学科讨论。每次会议的重点都与科学前沿平行发展。 该系列的一个关键特征是其跨学科性质,定量和主题科学家共同讨论人类疾病尖端遗传和基因组研究中出现的统计和定量问题。与会者批评现有的定量方法,讨论新出现的统计和定量问题,确定未来研究的优先事项,并传播结果。遗传学和基因组学的多样性越来越多地被接受,不仅是为了进行更强大的研究,而且是因为需要避免进一步加剧医疗保健系统中的结构性不平等,并为改善这些不平等制定一条前进的道路。近年来,为改善遗传学和基因组学研究参与者和工作人员的多样性做出了重大努力,包括将不同群体纳入发现和功能研究以及转化工作,以增强或铺平公平临床影响的道路。2023年会议将提供一个平台,让跨学科研究人员深入讨论增加遗传和基因组研究多样性的定量挑战和机遇。我们将认真努力征聘初级研究人员,包括研究生、博士后研究员,特别是代表人数不足的少数民族和妇女,担任发言人和与会者。 2023年会议主题的推动力来自解决遗传和基因组研究多样性中的统计和定量问题的迫切需要。会议的三个主题包括:(1)基因定位和研究变异功能的多样性;(2)翻译遗传学的多样性:多基因风险和临床实施;(3)我们如何在承认过去的同时向前迈进?第一个主题的例子包括多祖先遗传关联测试,精细定位和eQTL分析。第二个主题的例子包括跨种族多基因风险预测和转移学习。第三个专题的例子包括提高基因组学研究中使用人口描述符的透明度和建立全球协作遗传研究框架。会议讨论的教育和研究活动将为促进基因和基因组研究的多样性做出重要贡献,并将有助于创造确保和维持美国经济和技术竞争力所需的科学基础和劳动力,延长和挽救生命,促进国家安全。欲了解更多信息,请参阅www.hsph.harvard.edu/pqg-conference/.This奖项反映了NSF的法定使命,并已被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估的支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Xihong Lin其他文献
A Trio of Inference Problems That Could
三个推理问题可以
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Xihong Lin;C. Genest;G. Molenberghs;D. W. Scott;Jane - 通讯作者:
Jane
Genome sequencing analysis identifies high-risk Epstein-Barr virus subtypes for nasopharyngeal carcinoma
基因组测序分析确定鼻咽癌高危 Epstein-Barr 病毒亚型
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Miao Xu;You;Hui Chen;Shanshan Zhang;T. Xiang;Su;Zhe Zhang;B. Luo;Zhiwei Liu;Zilin Li;Guiping He;Qi;Li;Xiang Guo;W. Jia;Ming;Bingchun Zhao;Xiao Zhang;S. Xie;Roujun Peng;E. Chang;V. Pedergnana;Lin Feng;J. Bei;R. Xu;M. Zeng;W. Ye;H. Adami;Xihong Lin;W. Zhai;Y. Zeng;Jianjun Liu - 通讯作者:
Jianjun Liu
A Multi-dimensional Integrative Scoring Framework for Predicting Functional Regions in the Human Genome
用于预测人类基因组功能区域的多维综合评分框架
- DOI:
10.1101/2021.01.06.425527 - 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Xihao Li;Godwin Yung;Hufeng Zhou;Ryan Sun;Zilin Li;Kangcheng Hou;Martin Jinye Zhang;Yaowu Liu;Theodore Arapoglou;Chen Wang;I. Ionita;Xihong Lin - 通讯作者:
Xihong Lin
Testing the Correlation for Clustered Categorical and Censored Discrete Time‐to‐Event Data When Covariates Are Measured without/with Errors
当协变量测量无误/有误时,测试聚类分类和截尾离散事件时间数据的相关性
- DOI:
- 发表时间:
2003 - 期刊:
- 影响因子:1.9
- 作者:
Yi Li;Xihong Lin - 通讯作者:
Xihong Lin
In praise of sparsity and convexity
赞扬稀疏性和凸性
- DOI:
10.1201/b16720-49 - 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Xihong Lin;Christian Genest;David Banks;Geert Molenberghs - 通讯作者:
Geert Molenberghs
Xihong Lin的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Xihong Lin', 18)}}的其他基金
Emerging Statistical and Quantitative Issues in Genomic Research in Health Sciences
健康科学基因组研究中新出现的统计和定量问题
- 批准号:
1833416 - 财政年份:2018
- 资助金额:
$ 6.19万 - 项目类别:
Standard Grant
Quantitative Analysis of Higher Order Chromatin Interactions
高阶染色质相互作用的定量分析
- 批准号:
1748175 - 财政年份:2017
- 资助金额:
$ 6.19万 - 项目类别:
Standard Grant
Whole Genome Sequencing Analysis: Comprehensive Capture of Genetic Variants
全基因组测序分析:全面捕获遗传变异
- 批准号:
1649847 - 财政年份:2016
- 资助金额:
$ 6.19万 - 项目类别:
Standard Grant
相似海外基金
DMS-EPSRC Collaborative Research: Advancing Statistical Foundations and Frontiers from and for Emerging Astronomical Data Challenges
DMS-EPSRC 合作研究:推进统计基础和前沿,应对新出现的天文数据挑战
- 批准号:
EP/W015080/1 - 财政年份:2022
- 资助金额:
$ 6.19万 - 项目类别:
Research Grant
DMS-EPSRC Collaborative Research: Advancing Statistical Foundations and Frontiers for and from Emerging Astronomical Data Challenges
DMS-EPSRC 合作研究:为新出现的天文数据挑战推进统计基础和前沿
- 批准号:
2113605 - 财政年份:2021
- 资助金额:
$ 6.19万 - 项目类别:
Standard Grant
DMS-EPSRC Collaborative Research: Advancing Statistical Foundations and Frontiers for and from Emerging Astronomical Data Challenges
DMS-EPSRC 合作研究:为新出现的天文数据挑战推进统计基础和前沿
- 批准号:
2113397 - 财政年份:2021
- 资助金额:
$ 6.19万 - 项目类别:
Standard Grant
DMS-EPSRC Collaborative Research: Advancing Statistical Foundations and Frontiers for and from Emerging Astronomical Data Challenges
DMS-EPSRC 合作研究:为新出现的天文数据挑战推进统计基础和前沿
- 批准号:
2113615 - 财政年份:2021
- 资助金额:
$ 6.19万 - 项目类别:
Standard Grant
Statistical Methods for Managing Emerging Infectious Diseases
管理新发传染病的统计方法
- 批准号:
560514-2020 - 财政年份:2021
- 资助金额:
$ 6.19万 - 项目类别:
Emerging Infectious Diseases Modelling Initiative (EIDM)
Statistical Methods for Managing Emerging Infectious Diseases
管理新发传染病的统计方法
- 批准号:
560514-2020 - 财政年份:2020
- 资助金额:
$ 6.19万 - 项目类别:
Emerging Infectious Diseases Modelling Initiative (EIDM)
statistical methods for some emerging issues in modeling latent variables
潜在变量建模中一些新出现问题的统计方法
- 批准号:
RGPIN-2015-04746 - 财政年份:2020
- 资助金额:
$ 6.19万 - 项目类别:
Discovery Grants Program - Individual
statistical methods for some emerging issues in modeling latent variables
潜在变量建模中一些新出现问题的统计方法
- 批准号:
RGPIN-2015-04746 - 财政年份:2019
- 资助金额:
$ 6.19万 - 项目类别:
Discovery Grants Program - Individual
Statistical methods for characterising the severity of an emerging pathogen: case studies of the COVID-19 pandemic
描述新兴病原体严重性的统计方法:COVID-19 大流行的案例研究
- 批准号:
2899154 - 财政年份:2019
- 资助金额:
$ 6.19万 - 项目类别:
Studentship
Emerging Statistical and Quantitative Issues in Genomic Research in Health Sciences
健康科学基因组研究中新出现的统计和定量问题
- 批准号:
1833416 - 财政年份:2018
- 资助金额:
$ 6.19万 - 项目类别:
Standard Grant