Harnessing the power of diverse populations to empower clinical translation of genome-wide association studies of common human disease
利用不同人群的力量,促进人类常见疾病全基因组关联研究的临床转化
基本信息
- 批准号:MR/W029626/1
- 负责人:
- 金额:$ 53.16万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2023
- 资助国家:英国
- 起止时间:2023 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Genome-wide association studies (GWAS) have been successful in identifying changes in our DNA, referred to as genetic variants, that contribute to our risk of developing many common human diseases, including those that have major public health burden, such as cancers, cardiovascular disease, and diabetes. This success offers exciting opportunities to use genetics for a significant positive impact on human health by: (i) improving our understanding of the biology of disease, thereby informing potential novel treatments; and (ii) predicting the future occurrence of disease in an individual, referred to as polygenic risk scores (PRS). However, despite this success, most GWAS have been performed in white populations of European ancestry, in Europe and North America. This bias in GWAS is in stark contrast to the global and racial/ethnic distribution of many diseases and may therefore exacerbate healthcare disparities because genetic findings from white European ancestry individuals are unlikely to be as impactful in other population groups. For example, the genetic variants that cause disease in white European ancestry individuals might not be observed in other population groups. Consequently, PRS derived from white European ancestry GWAS provide less reliable prediction of disease risk into individuals of African, Asian, or mixed ancestry. The concerns over population bias in genetic studies have prompted a recent expansion of GWAS into individuals from more diverse ancestry groups. The overall vision of this proposal is to develop novel statistical methods for the analysis of multi-ancestry GWAS that allow for the genetic differences observed across diverse population groups. These methods will be implemented into user-friendly software tools that will be shared with the wider research community to provide a better understanding of the impact on disease of genetic differences between population groups to reduce healthcare disparities. Improved knowledge of disease biology that is shared across diverse populations will inform treatment development opportunities that will be relevant to everyone. Furthermore, PRS that take account of the ancestry of an individual will provide more accurate prediction of disease risk, irrespective of their genetic background.
全基因组关联研究(GWAS)已经成功地识别了我们DNA的变化,这些变化被称为基因变异,这些变化导致我们患上许多常见的人类疾病的风险,包括那些具有重大公共健康负担的疾病,如癌症、心血管疾病和糖尿病。这一成功为利用遗传学对人类健康产生重大积极影响提供了令人兴奋的机会:(I)提高我们对疾病生物学的理解,从而为潜在的新治疗方法提供信息;以及(Ii)预测个体未来的疾病发生,称为多基因风险评分(PR)。然而,尽管取得了这一成功,但大多数GWA都是在欧洲和北美的欧洲血统的白人群体中进行的。Gwas的这种偏见与许多疾病的全球和种族/民族分布形成了鲜明对比,因此可能会加剧医疗保健差距,因为来自欧洲白人血统个人的基因发现不太可能对其他人口群体产生同样的影响。例如,在欧洲白人血统的个体中导致疾病的基因变异可能在其他种群中没有观察到。因此,来自欧洲白人血统的PR对非洲、亚洲或混合血统的个体的疾病风险预测不太可靠。遗传研究中对群体偏见的担忧促使最近将GWAS扩展到来自更多不同祖先群体的个体。这项提议的总体愿景是开发新的统计方法来分析多血统GWAs,以考虑到在不同人口群体中观察到的遗传差异。这些方法将被应用到用户友好的软件工具中,并将与更广泛的研究社区共享,以更好地了解人口群体之间的遗传差异对疾病的影响,以减少医疗保健差异。不同人群之间共享的疾病生物学知识的改善将提供与每个人相关的治疗发展机会。此外,考虑到个人血统的预测将提供更准确的疾病风险预测,而不考虑他们的遗传背景。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Leveraging information between multiple population groups and traits improves fine-mapping resolution.
- DOI:10.1038/s41467-023-43159-5
- 发表时间:2023-11-10
- 期刊:
- 影响因子:16.6
- 作者:Zhou, Feng;Soremekun, Opeyemi;Chikowore, Tinashe;Fatumo, Segun;Barroso, Ines;Morris, Andrew P;Asimit, Jennifer L
- 通讯作者:Asimit, Jennifer L
{{
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 }}
Andrew Morris其他文献
Creating sustainable innovation through design for behaviour change: full project report
通过行为改变设计创造可持续创新:完整的项目报告
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
K. Niedderer;J. MacKrill;S. Clune;Dan Lockton;Geke D. S. Ludden;Andrew Morris;R. Cain;E. Gardiner;Robin Gutteridge;M. Evans;P. Hekkert - 通讯作者:
P. Hekkert
Evaluation of alternative intersection treatments at rural crossroads using simulation software
- DOI:
10.1080/15389588.2018.1528357 - 发表时间:
2018-01-01 - 期刊:
- 影响因子:
- 作者:
Sujanie Peiris;Bruce Corben;Michael Nieuwesteeg;Hampton C. Gabler;Andrew Morris;Diana Bowman;Michael G. Lenné;Michael Fitzharris - 通讯作者:
Michael Fitzharris
How electric bikes reduce car use: A dual-mode ownership perspective
电动自行车如何减少汽车使用:一种双模式拥有视角
- DOI:
10.1016/j.trd.2024.104304 - 发表时间:
2024-08-01 - 期刊:
- 影响因子:7.700
- 作者:
Ailing Yin;Xiaohong Chen;Frauke Behrendt;Andrew Morris;Xiang Liu - 通讯作者:
Xiang Liu
Advancing Hospital Acquired Pressure Injury Prevention with a Data-Driven Transdisciplinary Model
通过数据驱动的跨学科模型推进医院获得性压力性损伤的预防
- DOI:
10.1016/j.apmr.2025.03.025 - 发表时间:
2025-05-01 - 期刊:
- 影响因子:3.700
- 作者:
Bridget Fowler King;Colleen Johnson;Matthew Grissom;Andrew Morris;Miriam Rafferty - 通讯作者:
Miriam Rafferty
Objective patient-related outcomes of rapid-response systems — a pilot study to demonstrate feasibility in two hospitals
- DOI:
10.1016/s1441-2772(23)02185-3 - 发表时间:
2013-03-01 - 期刊:
- 影响因子:
- 作者:
Andrew Morris;Helen M. Owen;Karen Jones;Jillian Hartin;John Welch;Christian P. Subbe - 通讯作者:
Christian P. Subbe
Andrew Morris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('Andrew Morris', 18)}}的其他基金
Novel statistical methods for transcriptomic imputation to enhance understanding of causal mechanisms underlying human diseases
转录组插补的新统计方法可增强对人类疾病因果机制的理解
- 批准号:
MR/V020749/1 - 财政年份:2022
- 资助金额:
$ 53.16万 - 项目类别:
Research Grant
UKRI trusted and connected Data and Analytics Research Environments, Phase 1
UKRI 可信且互联的数据和分析研究环境,第一阶段
- 批准号:
MC_PC_21005 - 财政年份:2021
- 资助金额:
$ 53.16万 - 项目类别:
Intramural
Population Research UK Phase 1: Partnership Design & Dialogue
英国人口研究第一阶段:合作伙伴设计
- 批准号:
MC_PC_20024 - 财政年份:2021
- 资助金额:
$ 53.16万 - 项目类别:
Intramural
Phase 1 COVID-19 Data and Connectivity – National Core Study (Phase 1 D&C-NCS)
第 1 阶段 COVID-19 数据和连接 — 国家核心研究(第 1 阶段 D
- 批准号:
MC_PC_20058 - 财政年份:2021
- 资助金额:
$ 53.16万 - 项目类别:
Intramural
COVID-19: Data and Connectivity – National Core Study (D&C-NCS)
COVID-19:数据和连接 – 国家核心研究 (D
- 批准号:
MC_PC_20029 - 财政年份:2020
- 资助金额:
$ 53.16万 - 项目类别:
Intramural
Baskerville: a national accelerated compute resource
巴斯克维尔:国家加速计算资源
- 批准号:
EP/T022221/1 - 财政年份:2020
- 资助金额:
$ 53.16万 - 项目类别:
Research Grant
Open KE Fellowship: Translation of a Miniature CT-DO Sensor from the Laboratory to Real World Applications
开放 KE 奖学金:微型 CT-DO 传感器从实验室到现实世界应用的转化
- 批准号:
NE/S006451/2 - 财政年份:2019
- 资助金额:
$ 53.16万 - 项目类别:
Research Grant
UKRI ISCF DIH Programme Phase 3– Innovation Gateway, Health Data Research Hubs, and UK Health Data Research Alliance
UKRI ISCF DIH 计划第 3 阶段——创新网关、健康数据研究中心和英国健康数据研究联盟
- 批准号:
MC_PC_19002 - 财政年份:2019
- 资助金额:
$ 53.16万 - 项目类别:
Intramural
Open KE Fellowship: Translation of a Miniature CT-DO Sensor from the Laboratory to Real World Applications
开放 KE 奖学金:微型 CT-DO 传感器从实验室到现实世界应用的转化
- 批准号:
NE/S006451/1 - 财政年份:2018
- 资助金额:
$ 53.16万 - 项目类别:
Research Grant
Health Data Research UK - CORE Funds
英国健康数据研究 - CORE 基金
- 批准号:
HDR-CORE - 财政年份:2018
- 资助金额:
$ 53.16万 - 项目类别:
Intramural
相似国自然基金
基于切平面受限Power图的快速重新网格化方法
- 批准号:62372152
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
多约束Power图快速计算算法研究
- 批准号:61972128
- 批准年份:2019
- 资助金额:58.0 万元
- 项目类别:面上项目
复合气体条件下可逆固体氧化物电池“电-气”转换特性研究
- 批准号:51877173
- 批准年份:2018
- 资助金额:61.0 万元
- 项目类别:面上项目
网格曲面上质心Power图的快速计算及应用
- 批准号:61772016
- 批准年份:2017
- 资助金额:46.0 万元
- 项目类别:面上项目
离散最优传输问题,闵可夫斯基问题和蒙奇-安培方程中的变分原理和Power图
- 批准号:11371220
- 批准年份:2013
- 资助金额:50.0 万元
- 项目类别:面上项目
几何约束视角下异构群体队形光滑变换控制方法研究
- 批准号:61300118
- 批准年份:2013
- 资助金额:26.0 万元
- 项目类别:青年科学基金项目
云计算环境下数据中心的power capping关键问题研究
- 批准号:61272460
- 批准年份:2012
- 资助金额:81.0 万元
- 项目类别:面上项目
基于信道Time/Power度量指标的TOA测距误差模型及其应用研究
- 批准号:61172049
- 批准年份:2011
- 资助金额:60.0 万元
- 项目类别:面上项目
离散谱聚合与谱廓受限的传输理论与技术的研究
- 批准号:60972057
- 批准年份:2009
- 资助金额:36.0 万元
- 项目类别:面上项目
低功耗集成多级放大器的设计研究
- 批准号:60976028
- 批准年份:2009
- 资助金额:35.0 万元
- 项目类别:面上项目
相似海外基金
Multi-omic phenotyping of human transcriptional regulators
人类转录调节因子的多组学表型分析
- 批准号:
10733155 - 财政年份:2023
- 资助金额:
$ 53.16万 - 项目类别:
Facility Management, Maintenance and Operation Core
设施管理、维护和运营核心
- 批准号:
10793828 - 财政年份:2023
- 资助金额:
$ 53.16万 - 项目类别:
Optimizing Power Skills in Interdisciplinary, Diverse & Innovative Academic Networks (OPSIDIAN)
优化跨学科、多元化的权力技能
- 批准号:
543087-2020 - 财政年份:2022
- 资助金额:
$ 53.16万 - 项目类别:
Collaborative Research and Training Experience
CPS: Functional Feedback Methods for Wearable Focused Ultrasound Therapy
CPS:可穿戴聚焦超声治疗的功能反馈方法
- 批准号:
10627982 - 财政年份:2021
- 资助金额:
$ 53.16万 - 项目类别:
Diverse Evolutionary Power of Nucleic Acid Libraries Carrying Different Information Content
携带不同信息内容的核酸库的不同进化能力
- 批准号:
2108028 - 财政年份:2021
- 资助金额:
$ 53.16万 - 项目类别:
Standard Grant
Optimizing Power Skills in Interdisciplinary, Diverse & Innovative Academic Networks (OPSIDIAN)
优化跨学科、多元化的权力技能
- 批准号:
543087-2020 - 财政年份:2021
- 资助金额:
$ 53.16万 - 项目类别:
Collaborative Research and Training Experience
Optimizing Power Skills in Interdisciplinary, Diverse & Innovative Academic Networks (OPSIDIAN)
优化跨学科、多元化的权力技能
- 批准号:
543087-2020 - 财政年份:2020
- 资助金额:
$ 53.16万 - 项目类别:
Collaborative Research and Training Experience