Large scale molecular haplotyping using next generation sequencing
使用下一代测序进行大规模分子单倍型分析
基本信息
- 批准号:BB/I004416/1
- 负责人:
- 金额:$ 54.45万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2011
- 资助国家:英国
- 起止时间:2011 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The cost of sequencing whole genomes is falling rapidly and the genomes of 1000's of animals and humans are being sequenced. Most mammalian genomes contain two copies of each chromosome. The two copies of each chromosome are very similar but nevertheless contain tens of thousands of small differences. These differences are mostly single changes in the sequence of chemical bases that compose the chromosome. Present sequencing methods cannot discriminate between the sequences of the two chromosomes and the 'complete' sequences that are published are in fact a single composite of the members of each chromosome pair. This disguises the reality that each gene has two slightly different forms, one on each chromosome, the two different forms are known as alleles. Knowing the sequences of the individual chromosomes could make many other studies much easier. Each chromosome contains groups of multiple genes which are inherited as a block, knowing the allele of one gene makes it possible to predict the alleles of the others that are inherited with it, making it possible to predict the alleles of all genes in the genome with much less effort. Also genes are mainly controlled by adjacent regions on the same chromosome leading to interactions between different regions, knowing which alleles are adjacent to each other makes it much easier to identify these interactions. We will develop two methods for identifying the sequences of large regions of each chromosome. Firstly we will take single sperm or oocytes which only contain a single copy of each chromosome and secondly we will dilute DNA prepared from many cells or a single cell until there is only a small chance that fragments of DNA from the same region of each chromosome are present. We will then amplify the DNA using standard methods developed for larger quantities of DNA and obtain the sequence of the DNA using the next generation genome sequencers at the Liverpool Center for Genomic Research. We will initially test the two methods by sequencing an elite bull that has large numbers of offspring that have already been genotyped by Prof Jerry Taylor who is a named collaborator on this project. This will enable us to validate our haplotypes against those identified by well established methods based on known parentage and large amounts of genotype data. East African dairy cattle are the subject of a major genetic study by John Gibson of the University of New England in Australia who is a named collaborator on this project. That study is developing tests to identify the best dairy cattle in the region so that they can be selected for further breeding. This involves genotyping 2000 of these animals with over 500,000 markers to identify the alleles carried by each animal at each position. However as noted above this method cannot identify the haplotypes along a chromosome. We will use the most appropriate single molecule sequencing methods that we have developed in the first part of the project to discover the common haplotypes in this population by sequencing a fifth of the genome of 100 animals from this population. We will then combined the genotype data from the 2000 animals obtained in the other study with the common haplotypes obtained from the 100 animals in this study to reconstruct the haplotypes of all 2000 animals in the population. This data will make it possible to undertake a future Genome Wide Association Study to identify genes that are associated with specific traits such as milk production or disease resistance in this population. Finally we will develop software to automate most of our analysis so that other workers can easily use the methods that we have developed.
全基因组测序的成本正在迅速下降,成千上万的动物和人类的基因组正在被测序。大多数哺乳动物的基因组包含每条染色体的两个拷贝。每条染色体的两个副本非常相似,但却包含成千上万的小差异。这些差异主要是组成染色体的化学碱基序列的单一变化。目前的测序方法无法区分两条染色体的序列,而已发表的“完整”序列实际上是每对染色体成员的单一组合。这掩盖了一个事实,即每个基因都有两种略有不同的形式,每条染色体上都有一个,这两种不同的形式被称为等位基因。了解单个染色体的序列可以使许多其他研究变得容易得多。每条染色体包含一组作为一个块遗传的多个基因,知道了一个基因的等位基因,就有可能预测与它一起遗传的其他基因的等位基因,从而可以用更少的努力预测基因组中所有基因的等位基因。此外,基因主要受同一染色体上相邻区域的控制,导致不同区域之间的相互作用,知道哪些等位基因彼此相邻,使识别这些相互作用变得容易得多。我们将开发两种方法来鉴定每个染色体的大区域的序列。首先,我们将取单个精子或卵母细胞,其中只包含每条染色体的单个副本;其次,我们将稀释从许多细胞或单个细胞制备的DNA,直到只有很小的机会出现来自每条染色体同一区域的DNA片段。然后,我们将使用为更大量DNA开发的标准方法扩增DNA,并使用利物浦基因组研究中心的下一代基因组测序仪获得DNA序列。我们将首先通过对一头精英公牛进行测序来测试这两种方法,这头公牛有大量的后代,这些后代已经由杰里·泰勒教授(Jerry Taylor)进行了基因分型,他是这个项目的指定合作者。这将使我们能够验证我们的单倍型,与那些基于已知亲子关系和大量基因型数据的成熟方法鉴定的单倍型相比较。东非奶牛是澳大利亚新英格兰大学的约翰·吉布森(John Gibson)进行的一项重大基因研究的对象,他是该项目的指定合作者。该研究正在开发测试,以确定该地区最好的奶牛,以便选择它们进行进一步繁殖。这包括用超过50万个标记对2000只动物进行基因分型,以确定每只动物在每个位置携带的等位基因。然而,如上所述,这种方法不能识别沿染色体的单倍型。我们将使用我们在项目的第一部分开发的最合适的单分子测序方法,通过对来自该种群的100只动物的五分之一基因组进行测序,来发现该种群中常见的单倍型。然后,我们将结合从另一项研究中获得的2000只动物的基因型数据与从本研究中获得的100只动物的共同单倍型来重建种群中所有2000只动物的单倍型。这些数据将使未来开展全基因组关联研究成为可能,以确定与该人群的特定性状(如产奶量或抗病能力)相关的基因。最后,我们将开发软件来自动化我们的大部分分析,以便其他工作人员可以轻松地使用我们开发的方法。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Genomic and phylogenetic analysis of Salmonella Typhimurium and its monophasic variants responsible for invasive endemic infections in Colombia
- DOI:10.1101/588608
- 发表时间:2019-03
- 期刊:
- 影响因子:0
- 作者:Yan Li;Caisey V. Pulford;P. Díaz;B. Perez-Sepulveda;C. Duarte;A. Predeus;Magdalena Wiesner;D. Heavens;Ross Low;Christian Schudoma;J. Lipscombe;A. Montaño;N. Hall;J. Moreno;J. Hinton
- 通讯作者:Yan Li;Caisey V. Pulford;P. Díaz;B. Perez-Sepulveda;C. Duarte;A. Predeus;Magdalena Wiesner;D. Heavens;Ross Low;Christian Schudoma;J. Lipscombe;A. Montaño;N. Hall;J. Moreno;J. Hinton
Insight into biases and sequencing errors for amplicon sequencing with the Illumina MiSeq platform.
- DOI:10.1093/nar/gku1341
- 发表时间:2015-03-31
- 期刊:
- 影响因子:14.9
- 作者:Schirmer M;Ijaz UZ;D'Amore R;Hall N;Sloan WT;Quince C
- 通讯作者:Quince C
A simple procedure for directly obtaining haplotype sequences of diploid genomes.
- DOI:10.1186/s12864-015-1818-4
- 发表时间:2015-08-28
- 期刊:
- 影响因子:4.4
- 作者:Noyes HA;Daly D;Goodhead I;Kay S;Kemp SJ;Kenny J;Saccheri I;Schnabel RD;Taylor JF;Hall N
- 通讯作者:Hall N
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Neil Hall其他文献
It’s only human
- DOI:
10.1186/gb4159 - 发表时间:
2014-02-12 - 期刊:
- 影响因子:9.400
- 作者:
Neil Hall - 通讯作者:
Neil Hall
Evolutionary genomics reveals variation in structure and genetic content implicated in virulence and lifestyle in the genus Gaeumannomyces
- DOI:
10.1186/s12864-025-11432-0 - 发表时间:
2025-03-12 - 期刊:
- 影响因子:3.700
- 作者:
Rowena Hill;Michelle Grey;Mariano Olivera Fedi;Daniel Smith;Gail Canning;Sabrina J. Ward;Naomi Irish;Jade Smith;Vanessa E. McMillan;Jess Hammond;Sarah-Jane Osborne;Gillian Reynolds;Ellie Smith;Tania Chancellor;David Swarbreck;Neil Hall;Javier Palma-Guerrero;Kim E. Hammond-Kosack;Mark McMullan - 通讯作者:
Mark McMullan
Pilot survey of expressed sequence tags (ESTs) from the asexual blood stages of Plasmodium vivax in human patients
- DOI:
10.1186/1475-2875-2-21 - 发表时间:
2003-07-21 - 期刊:
- 影响因子:3.000
- 作者:
Emilio F Merino;Carmen Fernandez-Becerra;Alda MBN Madeira;Ariane L Machado;Alan Durham;Arthur Gruber;Neil Hall;Hernando A del Portillo - 通讯作者:
Hernando A del Portillo
Why science and synchronized swimming should not be Olympic sports
- DOI:
10.1186/gb-2012-13-9-171 - 发表时间:
2012-09-01 - 期刊:
- 影响因子:9.400
- 作者:
Neil Hall - 通讯作者:
Neil Hall
Iron working in Anglo-Saxon England: New evidence to show fresh iron smelting of ironstone ores from the 6th–10th centuries CE
- DOI:
10.1016/j.jasrep.2018.02.019 - 发表时间:
2018-06-01 - 期刊:
- 影响因子:
- 作者:
Neil Hall - 通讯作者:
Neil Hall
Neil Hall的其他文献
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{{ truncateString('Neil Hall', 18)}}的其他基金
Open Access Block Award 2024 - Earlham Institute
2024 年开放获取区块奖 - Earlham Institute
- 批准号:
EP/Z531492/1 - 财政年份:2024
- 资助金额:
$ 54.45万 - 项目类别:
Research Grant
Open Access Block Award 2023 - Earlham Institute
2023 年开放获取区块奖 - Earlham Institute
- 批准号:
EP/Y529126/1 - 财政年份:2023
- 资助金额:
$ 54.45万 - 项目类别:
Research Grant
Open Access Block Award 2022 - Earlham Institute
2022 年开放获取区块奖 - Earlham Institute
- 批准号:
EP/X526095/1 - 财政年份:2022
- 资助金额:
$ 54.45万 - 项目类别:
Research Grant
ELIXIR-UK Coordination Office
ELIXIR-英国协调办公室
- 批准号:
BB/X011100/1 - 财政年份:2022
- 资助金额:
$ 54.45万 - 项目类别:
Research Grant
The Earlham Institute 2021 Flexible Talent Mobility Account
厄勒姆学院 2021 年灵活人才流动账户
- 批准号:
BB/W510890/1 - 财政年份:2021
- 资助金额:
$ 54.45万 - 项目类别:
Research Grant
Business Case for a Catalyst Partnership in Artificial Intelligence between the Alan Turing Institute and the Norwich Biosciences Institutes
艾伦图灵研究所和诺里奇生物科学研究所之间人工智能催化剂合作伙伴关系的商业案例
- 批准号:
BB/V509267/1 - 财政年份:2020
- 资助金额:
$ 54.45万 - 项目类别:
Research Grant
Development of single-cell sequencing technology for microbial populations
微生物群体单细胞测序技术的发展
- 批准号:
BB/R022526/1 - 财政年份:2018
- 资助金额:
$ 54.45万 - 项目类别:
Research Grant
Ultra High-Throughput Sequencing for Norwich Research Park and the UK National Capability in Genomics
诺维奇研究园和英国国家基因组学能力的超高通量测序
- 批准号:
BB/R014329/1 - 财政年份:2018
- 资助金额:
$ 54.45万 - 项目类别:
Research Grant
Earlham Institute UKRI Innovation Fellowships: BBSRC Flexible Talent Mobility Accounts
厄勒姆研究所 UKRI 创新奖学金:BBSRC 灵活人才流动账户
- 批准号:
BB/R50659X/1 - 财政年份:2017
- 资助金额:
$ 54.45万 - 项目类别:
Research Grant
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