A Platform for Large-Scale Discovery in Common Disease
A Platform for Large-Scale Discovery in Common Disease
批准号:
9924136
负责人:
Ira M Hall
金额:
$1303.19万
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
项目状态:
已结题
起止时间:
2016-01-14 至 2022-11-30
关键词:
AdmixtureChromosome MappingCodeCommunitiesCoronary ArteriosclerosisDiseaseDisease OutcomeFrequenciesFundingGenesGeneticGenetic studyGenomeGenomicsGenotypeGoalsHuman GenomeIndividualInstitutesJointsMapsMethodsPathway interactionsPatternPhenotypeResearchResourcesRiskRisk FactorsSingle Nucleotide PolymorphismSiteStructureTestingUniversitiesUntranslated RNAVariantWashingtoncardiometabolic riskcardiovascular disorder riskcase controlcausal variantdata resourceearly onsetgenetic variantgenome sequencinghuman diseaseinsertion/deletion mutationmembernovelopen sourceprogramssecondary analysistooltraitwhole genome
中文摘要
点击翻译按钮获取中文摘要
英文摘要
PROJECT SUMMARY
This supplement will continue to fund our Center for Common Disease Genomics (UM1HG008853) at the
McDonnell Genome Institute at Washington University entitled, “A platform for large-scale discovery in common
disease.” In the supplemental period we will continue our multi-ethnic case-control whole genome sequencing
(WGS) study focused on mapping novel disease genes and variants underlying risk and protection from early-
onset coronary artery disease (EOCAD). Along with EOCAD cases, we aim to select deeply phenotyped controls
whenever possible in order to study the genetic basis of quantitative cardiometabolic risk factors. After
completing the WGS, we will assemble a joint callset that includes all EOCAD cases and controls from our center
to enable association testing between genotypes and disease outcomes. Genotypes for the primary analysis will
include testing common (individual) and rare (burden) single nucleotide variants (SNVs), insertion/deletion
variants (indels), and structural variants (SVs) across coding and non-coding space. In secondary analyses, we
will test for association with quantitative cardiometabolic risk factor traits and will leverage differential patterns of
admixture to map causal variants underlying previously mapped disease and trait associated loci. Beyond
disease association studies, we will continue to collaborate with consortium members to create genomic
resources that will be used by the scientific community such as aggregated site frequencies, imputation
resources, and open source analysis methods.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
kalis: a modern implementation of the Li & Stephens model for local ancestry inference in R.
kalis:Li 的现代实现
DOI:
10.1186/s12859-024-05688-8
发表时间:
2024
期刊:
BMC bioinformatics
影响因子:
3
作者:
[Aslett,LouisJM, Christ,RyanR]
通讯作者:
Christ,RyanR
Structural variants are a major source of gene expression differences in humans and often affect multiple nearby genes.
结构变异是人类基因表达差异的主要来源,通常会影响附近的多个基因。
DOI:
10.1101/gr.275488.121
发表时间:
2021-12
期刊:
Genome research
影响因子:
7
作者:
[Scott AJ, Chiang C, Hall IM]
通讯作者:
Hall IM
Large scale genome sequencing and integrative analyses to define genomic predictors of recurrent pregnancy loss
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批准号:10226657
-
项目类别:
-
资助金额:$152.42万
-
财政年份:2021
-
负责人:Ira M Hall
-
依托单位:
Large scale genome sequencing and integrative analyses to define genomic predictors of recurrent pregnancy loss
-
批准号:10393656
-
项目类别:
-
资助金额:$150.96万
-
财政年份:2021
-
负责人:Ira M Hall
-
依托单位:
The WashU-UCSC-EBI Human Genome Reference Center
-
批准号:10456056
-
项目类别:
-
资助金额:$275.02万
-
财政年份:2019
-
负责人:Ira M Hall
-
依托单位:
The WashU-UCSC-EBI Human Genome Reference Center
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批准号:10689153
-
项目类别:
-
资助金额:$274.09万
-
财政年份:2019
-
负责人:Ira M Hall
-
依托单位:
Extent, Origin, and Control of Structural Variation in Mammalian Genomes
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批准号:7852159
-
项目类别:
-
资助金额:$231.0万
-
财政年份:2009
-
负责人:Ira M Hall
-
依托单位:
海外基金