Development of GPGPU tools for modelling complex phenotypes
开发用于复杂表型建模的 GPGPU 工具
基本信息
- 批准号:BB/K000195/1
- 负责人:
- 金额:$ 13.85万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2012
- 资助国家:英国
- 起止时间:2012 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
We are investigating how genes make some people or animals more susceptible to certain diseases (e.g. cancer) or better at production traits (e.g. milk yield) than others. In the long term this research could be used to predict what diseases individuals and animals are prone to and what age they are likely to develop them. With this information better drugs and preventative treatments could be developed. This will also help to improve food production and safety for an increasing human population. To investigate this, we take samples from a large number of diseased or healthy people or animals. The genomes of these two groups are then studied and particular parts of the genome (called genes) pinpointed as contributing to the differences between the groups. Doing those comparisons requires complex mathematical and statistical models.We have developed statistical methods that are able to model the traits of animals and people as a function of their genetic make-up and aid us in identifying what genes are contributing to the differences between groups. However, these methods require a large number of calculations that take a long time to complete when using standard computer processors (or clusters of them). This research proposal will develop software tools that speed-up this calculations substantially and hence will help us achieve our scientific aims more quickly. The software tools will run on Graphics Processing Units (GPUs), which are the fast computing processors used in graphic cards and that allow people to play fast and fun computer games. We will use the same programming 'tricks' and technology used by the computing game industry to understand how genes work, and how they interact with each other to make people or animals more or less prone to disease.
我们正在研究基因如何使某些人或动物比其他人或动物更容易患上某些疾病(如癌症),或在生产性状(如产奶量)方面比其他人更好。从长远来看,这项研究可以用来预测个人和动物容易患上什么疾病,以及他们可能在什么年龄患上这些疾病。有了这些信息,就可以开发出更好的药物和预防性治疗方法。这也将有助于改善日益增长的人口的食品生产和安全。为了调查这一点,我们从大量患病或健康的人或动物身上提取样本。然后研究这两个群体的基因组,并确定基因组的特定部分(称为基因)是导致这两个群体之间差异的原因。进行这些比较需要复杂的数学和统计模型。我们已经开发出统计方法,能够将动物和人类的特征作为其基因构成的函数进行建模,并帮助我们确定哪些基因对群体之间的差异起到了作用。然而,这些方法需要大量的计算,在使用标准计算机处理器(或它们的集群)时需要很长时间才能完成。这项研究提案将开发软件工具,大大加快计算速度,从而帮助我们更快地实现我们的科学目标。这些软件工具将在图形处理器(GPU)上运行,图形处理器是显卡中使用的快速计算处理器,允许人们玩快速而有趣的电脑游戏。我们将使用计算机游戏行业使用的相同编程技巧和技术来了解基因是如何工作的,以及它们如何相互作用,使人类或动物或多或少更容易患上疾病。
项目成果
期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Complex variation in measures of general intelligence and cognitive change.
一般智力和认知变化的衡量标准的复杂变化。
- DOI:10.1371/journal.pone.0081189
- 发表时间:2013
- 期刊:
- 影响因子:3.7
- 作者:Rowe SJ;Rowlatt A;Davies G;Harris SE;Porteous DJ;Liewald DC;McNeill G;Starr JM;Deary IJ;Tenesa A
- 通讯作者:Tenesa A
Genome-wide autozygosity is associated with lower general cognitive ability.
- DOI:10.1038/mp.2015.120
- 发表时间:2016-06
- 期刊:
- 影响因子:11
- 作者:Howrigan DP;Simonson MA;Davies G;Harris SE;Tenesa A;Starr JM;Liewald DC;Deary IJ;McRae A;Wright MJ;Montgomery GW;Hansell N;Martin NG;Payton A;Horan M;Ollier WE;Abdellaoui A;Boomsma DI;DeRosse P;Knowles EE;Glahn DC;Djurovic S;Melle I;Andreassen OA;Christoforou A;Steen VM;Hellard SL;Sundet K;Reinvang I;Espeseth T;Lundervold AJ;Giegling I;Konte B;Hartmann AM;Rujescu D;Roussos P;Giakoumaki S;Burdick KE;Bitsios P;Donohoe G;Corley RP;Visscher PM;Pendleton N;Malhotra AK;Neale BM;Lencz T;Keller MC
- 通讯作者:Keller MC
Evaluation of the linkage-disequilibrium method for the estimation of effective population size when generations overlap: an empirical case.
- DOI:10.1186/s12864-015-2167-z
- 发表时间:2015-11-11
- 期刊:
- 影响因子:4.4
- 作者:Saura M;Tenesa A;Woolliams JA;Fernández A;Villanueva B
- 通讯作者:Villanueva B
Modulation of genetic associations with serum urate levels by body-mass-index in humans.
- DOI:10.1371/journal.pone.0119752
- 发表时间:2015
- 期刊:
- 影响因子:3.7
- 作者:Huffman JE;Albrecht E;Teumer A;Mangino M;Kapur K;Johnson T;Kutalik Z;Pirastu N;Pistis G;Lopez LM;Haller T;Salo P;Goel A;Li M;Tanaka T;Dehghan A;Ruggiero D;Malerba G;Smith AV;Nolte IM;Portas L;Phipps-Green A;Boteva L;Navarro P;Johansson A;Hicks AA;Polasek O;Esko T;Peden JF;Harris SE;Murgia F;Wild SH;Tenesa A;Tin A;Mihailov E;Grotevendt A;Gislason GK;Coresh J;D'Adamo P;Ulivi S;Vollenweider P;Waeber G;Campbell S;Kolcic I;Fisher K;Viigimaa M;Metter JE;Masciullo C;Trabetti E;Bombieri C;Sorice R;Döring A;Reischl E;Strauch K;Hofman A;Uitterlinden AG;Waldenberger M;Wichmann HE;Davies G;Gow AJ;Dalbeth N;Stamp L;Smit JH;Kirin M;Nagaraja R;Nauck M;Schurmann C;Budde K;Farrington SM;Theodoratou E;Jula A;Salomaa V;Sala C;Hengstenberg C;Burnier M;Mägi R;Klopp N;Kloiber S;Schipf S;Ripatti S;Cabras S;Soranzo N;Homuth G;Nutile T;Munroe PB;Hastie N;Campbell H;Rudan I;Cabrera C;Haley C;Franco OH;Merriman TR;Gudnason V;Pirastu M;Penninx BW;Snieder H;Metspalu A;Ciullo M;Pramstaller PP;van Duijn CM;Ferrucci L;Gambaro G;Deary IJ;Dunlop MG;Wilson JF;Gasparini P;Gyllensten U;Spector TD;Wright AF;Hayward C;Watkins H;Perola M;Bochud M;Kao WH;Caulfield M;Toniolo D;Völzke H;Gieger C;Köttgen A;Vitart V
- 通讯作者:Vitart V
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Albert Tenesa其他文献
Variantes genéticas comunes en el gen <em>TEP1</em> (locus 14q11.2) y en el gen <em>TK1</em> (locus 17q25.3) están asociadas al riesgo de tumores colorrectales en latinos
- DOI:
10.1016/j.rccan.2017.02.058 - 发表时间:
2017-01-01 - 期刊:
- 影响因子:
- 作者:
María Carolina Sanabria Salas;Jovanny Zabaleta;Adriana Umaña Pérez;Konrad Rawlik;Albert Tenesa;Martha Lucía Serrano López;Myriam Sánchez de Gómez;Martha Patricia Rojas;Luis Eduardo Bravo;Gustavo Hernández Suárez - 通讯作者:
Gustavo Hernández Suárez
New insights into the aetiology of colorectal cancer from genome-wide association studies
全基因组关联研究对结直肠癌病因学的新见解
- DOI:
10.1038/nrg2574 - 发表时间:
2009-06-01 - 期刊:
- 影响因子:52.000
- 作者:
Albert Tenesa;Malcolm G. Dunlop - 通讯作者:
Malcolm G. Dunlop
The heritability of human disease: estimation, uses and abuses
人类疾病的遗传力:估计、用途和滥用
- DOI:
10.1038/nrg3377 - 发表时间:
2013-01-18 - 期刊:
- 影响因子:52.000
- 作者:
Albert Tenesa;Chris S. Haley - 通讯作者:
Chris S. Haley
Erratum to: Genetic determination of height-mediated mate choice
- DOI:
10.1186/s13059-016-0894-3 - 发表时间:
2016-02-11 - 期刊:
- 影响因子:9.400
- 作者:
Albert Tenesa;Konrad Rawlik;Pau Navarro;Oriol Canela-Xandri - 通讯作者:
Oriol Canela-Xandri
Reply to: Genotype by sex interactions in ankylosing spondylitis
回复:强直性脊柱炎中按性别交互作用的基因型
- DOI:
10.1038/s41588-022-01251-4 - 发表时间:
2023-01-09 - 期刊:
- 影响因子:29.000
- 作者:
Elena Bernabeu;Konrad Rawlik;Oriol Canela-Xandri;Andrea Talenti;James Prendergast;Albert Tenesa - 通讯作者:
Albert Tenesa
Albert Tenesa的其他文献
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{{ truncateString('Albert Tenesa', 18)}}的其他基金
Modular workflow for the community-led development of custom livestock DNA methylation arrays
用于社区主导的定制牲畜 DNA 甲基化阵列开发的模块化工作流程
- 批准号:
BB/W019051/1 - 财政年份:2023
- 资助金额:
$ 13.85万 - 项目类别:
Research Grant
Understanding disease through environment-wide association studies
通过环境关联研究了解疾病
- 批准号:
MR/P015514/1 - 财政年份:2017
- 资助金额:
$ 13.85万 - 项目类别:
Research Grant
Genomic prediction of anthropomorphic traits using hundreds of thousands of individuals
使用数十万个体对拟人性状进行基因组预测
- 批准号:
MR/N003179/1 - 财政年份:2015
- 资助金额:
$ 13.85万 - 项目类别:
Research Grant
Estimation of the genetic correlation among human cancers and identification of pleiotropic cancer loci
人类癌症之间遗传相关性的估计和多效性癌症位点的鉴定
- 批准号:
MR/K014781/1 - 财政年份:2013
- 资助金额:
$ 13.85万 - 项目类别:
Research Grant
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