Maximal resolution and full-length phasing for next-generation MHC-typing

下一代 MHC 分型的最大分辨率和全长定相

基本信息

  • 批准号:
    9411580
  • 负责人:
  • 金额:
    $ 4.95万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2016
  • 资助国家:
    美国
  • 起止时间:
    2016-07-12 至 2017-06-30
  • 项目状态:
    已结题

项目摘要

Maximal resolution and full-length phasing for next-generation MHC-typing Arima Genomics 7. Project Summary/Abstract The Major Histocompatibility complex (MHC) locus is among the most polymorphic loci in the genome, and harbors genes that play critical roles in human immune health and disease. The polymorphic nature of the MHC locus allows for encoding every individual with a unique immune cell profile, hence, matching HLA genes among donors and recipients has been a critical step in mitigating immune rejections following organ transplants. Advances in next-generation sequencing technologies have increased the popularity of DNA sequencing as a means of typing the HLA locus for its clinical relevance. Yet current HLA typing technologies ignore potentially important DNA variants, type gene-by-gene at low resolution, and fail to haplotype phase non-HLA genes and other non-coding alleles in the MHC locus that are necessary for optimal donor-recipient matching. Arima Genomics has recently developed an innovative new approach to generate full-length haplotypes of the MHC locus at high-resolution, building on our proprietary HaploSeq technology for constructing chromosome-spanning haplotypes in the human genome. Our new technology, " HaploSeq-Mx" is capable of phasing the entire 3.5Mb HLA locus onto a single haplotype block at ~91% resolution and ~99% accuracy with just 2x sequencing depth. As a cost-effective, next-generation haplotyping technology, HaploSeq-Mx is poised to underpin a new standard in high-resolution locus-spanning MHC typing. The objectives of Arima Genomics' proposed R&D efforts involve improving HaploSeq-Mx's targeting efficiency to further reduce sequencing costs and advance the method to clinical utility, developing computational approaches to improve the accuracy of HaploSeq-Mx even further to >99.5%, and demonstrating feasibility of HaploSeq-Mx for MHC typing patient samples in a hematopoietic stem cell transplantation (HSCT) study with clinical collaborators at the Immunogenetics and Transplantation Laboratory (ITL) at the UCSD Center for Advanced Laboratory Medicine (CALM), while developing a new algorithm for donor-recipient matching. Successful completion of our research aims will contribute invaluable new knowledge to ongoing investigations of how human genetic variation influences patient outcomes in transplants, and will substantially advance the capabilities of our HLA typing technology toward commercial viability in clinical applications. HaploSeq-Mx promises to greatly enhance our understanding of human genetics in health and contribute to the realization of personalized medicine.
用于下一代MHC分型的最大分辨率和全长定相 Arima Genomics 7.项目总结/摘要 主要组织相容性复合体(MHC)基因座是基因组中最具多态性的基因座之一, 携带在人类免疫健康和疾病中起关键作用的基因。的多态性 MHC基因座允许编码具有独特免疫细胞谱的每个个体,因此,匹配HLA基因 在捐赠者和接受者之间进行免疫接种是减轻器官移植后免疫排斥反应的关键步骤。 移植下一代测序技术的进步提高了DNA的普及程度 测序作为HLA基因座分型的手段,用于其临床相关性。目前的HLA分型技术 忽略潜在重要DNA变异,在低分辨率下逐个基因分型, MHC基因座中的非HLA基因和其他非编码等位基因,这些基因是最佳供体-受体 匹配. Arima Genomics最近开发了一种创新的新方法, 基于我们专有的HaploSeq技术, 在人类基因组中构建跨染色体单倍型。我们的新技术“HaploSeq-Mx” 能够以~91%的分辨率和~99%的分辨率将整个3.5Mb HLA基因座定相到单个单倍型块上, 精确度仅为2倍测序深度。作为一种具有成本效益的下一代单体型分析技术, HaploSeq-Mx有望成为高分辨率跨基因座MHC分型的新标准。的 Arima Genomics提出的研发目标包括提高HaploSeq-Mx的靶向效率, 进一步降低测序成本并将该方法推进到临床实用, 进一步将HaploSeq-Mx的准确性提高到> 99.5%的方法,并证明了 HaploSeq-Mx用于造血干细胞移植(HSCT)研究中的患者样品的MHC分型, UCSD中心免疫遗传学和移植实验室(ITL)的临床合作者, 高级实验室医学(CALM),同时开发一种新的算法供受体匹配。 成功完成我们的研究目标将为正在进行的调查提供宝贵的新知识 人类遗传变异如何影响移植患者的结果,并将大大推动 我们的HLA分型技术在临床应用中的商业可行性。HaploSeq-Mx 有望大大提高我们对人类健康遗传学的理解,并有助于实现 个性化医疗

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 }}

Siddarth Selvaraj其他文献

Siddarth Selvaraj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('Siddarth Selvaraj', 18)}}的其他基金

Commercialization of a highly-sensitive, scalable and low-input compatible kit-based solution for discovery of translocations from FFPE tumor biopsies
将高度灵敏、可扩展且低输入兼容的基于试剂盒的解决方案商业化,用于从 FFPE 肿瘤活检中发现易位
  • 批准号:
    9910099
  • 财政年份:
    2020
  • 资助金额:
    $ 4.95万
  • 项目类别:
Developing a kit-based research use only (RUO) translocation assay for deployment as a lab developed test (LDT) toward changing outcomes for patients with driver-negative tumors
开发基于试剂盒的仅供研究使用 (RUO) 的易位测定,作为实验室开发的测试 (LDT) 部署,以改变驱动阴性肿瘤患者的结果
  • 批准号:
    10678597
  • 财政年份:
    2020
  • 资助金额:
    $ 4.95万
  • 项目类别:
Commercialization of a low-cost user-friendly DNA preparation kit that produces chromosome-span contiguity from conventional short-read sequencing​​ for a wide range of applications
低成本、用户友好的 DNA 制备试剂盒的商业化,可通过传统的短读长测序产生染色体跨度连续性,适用于广泛的应用
  • 批准号:
    9316364
  • 财政年份:
    2017
  • 资助金额:
    $ 4.95万
  • 项目类别:
Maximal resolution and full-length phasing for next-generation MHC-typing
下一代 MHC 分型的最大分辨率和全长定相
  • 批准号:
    9202584
  • 财政年份:
    2016
  • 资助金额:
    $ 4.95万
  • 项目类别:
Non-invasive determination of complete fetal genomes from cfDNA using HaploSeq
使用 HaploSeq 从 cfDNA 无创测定完整胎儿基因组
  • 批准号:
    9139622
  • 财政年份:
    2016
  • 资助金额:
    $ 4.95万
  • 项目类别:

相似海外基金

Linkage of HIV amino acid variants to protective host alleles at CHD1L and HLA class I loci in an African population
非洲人群中 HIV 氨基酸变异与 CHD1L 和 HLA I 类基因座的保护性宿主等位基因的关联
  • 批准号:
    502556
  • 财政年份:
    2024
  • 资助金额:
    $ 4.95万
  • 项目类别:
Olfactory Epithelium Responses to Human APOE Alleles
嗅觉上皮对人类 APOE 等位基因的反应
  • 批准号:
    10659303
  • 财政年份:
    2023
  • 资助金额:
    $ 4.95万
  • 项目类别:
Deeply analyzing MHC class I-restricted peptide presentation mechanistics across alleles, pathways, and disease coupled with TCR discovery/characterization
深入分析跨等位基因、通路和疾病的 MHC I 类限制性肽呈递机制以及 TCR 发现/表征
  • 批准号:
    10674405
  • 财政年份:
    2023
  • 资助金额:
    $ 4.95万
  • 项目类别:
An off-the-shelf tumor cell vaccine with HLA-matching alleles for the personalized treatment of advanced solid tumors
具有 HLA 匹配等位基因的现成肿瘤细胞疫苗,用于晚期实体瘤的个性化治疗
  • 批准号:
    10758772
  • 财政年份:
    2023
  • 资助金额:
    $ 4.95万
  • 项目类别:
Identifying genetic variants that modify the effect size of ApoE alleles on late-onset Alzheimer's disease risk
识别改变 ApoE 等位基因对迟发性阿尔茨海默病风险影响大小的遗传变异
  • 批准号:
    10676499
  • 财政年份:
    2023
  • 资助金额:
    $ 4.95万
  • 项目类别:
New statistical approaches to mapping the functional impact of HLA alleles in multimodal complex disease datasets
绘制多模式复杂疾病数据集中 HLA 等位基因功能影响的新统计方法
  • 批准号:
    2748611
  • 财政年份:
    2022
  • 资助金额:
    $ 4.95万
  • 项目类别:
    Studentship
Genome and epigenome editing of induced pluripotent stem cells for investigating osteoarthritis risk alleles
诱导多能干细胞的基因组和表观基因组编辑用于研究骨关节炎风险等位基因
  • 批准号:
    10532032
  • 财政年份:
    2022
  • 资助金额:
    $ 4.95万
  • 项目类别:
Recessive lethal alleles linked to seed abortion and their effect on fruit development in blueberries
与种子败育相关的隐性致死等位基因及其对蓝莓果实发育的影响
  • 批准号:
    22K05630
  • 财政年份:
    2022
  • 资助金额:
    $ 4.95万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Investigating the Effect of APOE Alleles on Neuro-Immunity of Human Brain Borders in Normal Aging and Alzheimer's Disease Using Single-Cell Multi-Omics and In Vitro Organoids
使用单细胞多组学和体外类器官研究 APOE 等位基因对正常衰老和阿尔茨海默病中人脑边界神经免疫的影响
  • 批准号:
    10525070
  • 财政年份:
    2022
  • 资助金额:
    $ 4.95万
  • 项目类别:
Leveraging the Evolutionary History to Improve Identification of Trait-Associated Alleles and Risk Stratification Models in Native Hawaiians
利用进化历史来改进夏威夷原住民性状相关等位基因的识别和风险分层模型
  • 批准号:
    10689017
  • 财政年份:
    2022
  • 资助金额:
    $ 4.95万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了