Identifying Osteoporosis Genes by Whole Genome Sequencing and Functional Validation in Zebra Fish
Identifying Osteoporosis Genes by Whole Genome Sequencing and Functional Validation in Zebra Fish
批准号:
10451606
负责人:
Yi-Hsiang Hsu
金额:
$41.28万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2024-07-31
关键词:
AddressAffectAllelesAnimal ModelAreaBioinformaticsBiologicalBiological ProcessBiologyBone DensityCRISPR/Cas technologyCharacteristicsCodeComplexDatabasesDetectionDiseaseDual-Energy X-Ray AbsorptiometryElderlyEtiologyFractureFrightFunctional disorderGenesGeneticGenetic ResearchGenetic ScreeningGenetic studyGenomeGenome ScanGenotypeGoalsHeritabilityHip FracturesHuman GeneticsIncidenceIndividualKnock-outLeadLinkMapsMediatingMeta-AnalysisMineralsModelingMorphologyMutationNatural regenerationOsteoporosisPathway interactionsPatientsPharmaceutical PreparationsPharmacologic SubstancePhenotypePhysiologyPopulationPrivatizationPublic HealthReportingResearchSamplingSignal TransductionSkeletal DevelopmentSkeletonSystemTechnologyTimeTrans-Omics for Precision MedicineUntranslated RNAValidationVariantZebrafishbasebone massbone metabolismcausal variantdensitydrug developmentdrug discoverygenetic associationgenetic informationgenetic variantgenome sequencinggenome wide association studygenome-wideindividual variationnew therapeutic targetnovelnovel diagnosticsnovel strategiesnovel therapeuticsosteoporosis with pathological fracturepersonalized approachpersonalized therapeuticprogramsrare variantreverse geneticsside effectskeletaltraittrendvirtualwhole genome
中文摘要
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英文摘要
Project Summary/Abstract
Osteoporosis has become a major and growing worldwide public health burden. Due to fears of side effects,
the use of osteoporosis drugs has fallen by as much as 50%. Thus, there is an unmet need to develop new
drugs for osteoporosis; or to develop personalized therapeutic approaches with the ability to takes into account
individual variability for each patient. Using human genetic studies to identify new druggable targets should
overcome the current treatment crisis in osteoporosis. Although GWAS have been successful in discovering
associated genetic variants with complex traits, more than 88% of GWAS loci are non-coding, which makes the
identification of causal variants and their targeted genes a difficult challenge; thus, limits the use of human
genetics information in drug discovery. To overcome these challenges and get better understanding of GWAS
findings, we proposed to utilize whole genome sequencing in large well-phenotyped populations as well as the
CRISPR/Cas9 gene-editing zebrafish model to identify potential causal variants and targeted genes influencing
skeletal integrity. Our findings may eventually lead to new diagnostics and therapeutics of osteoporosis. We
proposed three specific aims, including: 1) Fine-map previous BMD GWAS loci by existing WGS in 10,000
individuals from the Trans-Omics for Precision Medicine (TOPMed) Program to identify potential causal
sequence variants (functional variants) that are responsible for GWAS signals; 2) Identify novel structural
variation and novel rare sequence variants associated with BMD by performing a whole genome scan using
the same 10,000 WGS samples. We will replicate findings in an additional 5,000 samples selected from the
GENOMOS/GEFOS consortium; 3) Functionally characterize up to 30 genes selected from aims 1 and 2 in
knockout zebrafish by CRISPR/Cas9 gene-editing systems. State-of-the-art technologies for rapid phenotyping
in zebrafish will be applied to a broad range of physiologies (skeletal development, ontogenesis, and
regeneration) and characteristics (bone mass accrual, morphology, and mineral density). Our proposal is
fundamentally important and represents the logical next step in skeletal genetics research. The results will lead
to much needed new drug development to overcome the growing treatment gap in osteoporosis.
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Pleiotropic Genetic Effects between Multiple Sclerosis and Musculoskeletal Traits.
多发性硬化症和肌肉骨骼特征之间的多效性遗传效应。
DOI:
10.1101/2023.09.12.23295444
发表时间:
2023
期刊:
medRxiv : the preprint server for health sciences
影响因子:
--
作者:
[Jeong,Sohyun, Tsai,Ming-Ju, Shen,Changbing, Hsu,Yi-Hsiang]
通讯作者:
Hsu,Yi-Hsiang
DOI:
10.3389/fgene.2018.00267
发表时间:
2018
期刊:
Frontiers in genetics
影响因子:
3.7
作者:
[Zhou X, Cheung CL, Karasugi T, Karppinen J, Samartzis D, Hsu YH, Mak TS, Song YQ, Chiba K, Kawaguchi Y, Li Y, Chan D, Cheung KM, Ikegawa S, Cheah KS, Sham PC]
通讯作者:
Sham PC
DOI:
10.1038/s42003-020-01256-x
发表时间:
2020-09-30
期刊:
Communications biology
影响因子:
5.9
作者:
[Trajanoska K, Seppala LJ, Medina-Gomez C, Hsu YH, Zhou S, van Schoor NM, de Groot LCPGM, Karasik D, Richards JB, Kiel DP, Uitterlinden AG, Perry JRB, van der Velde N, Day FR, Rivadeneira F]
通讯作者:
Rivadeneira F
The 2020 FASEB virtual Catalyst Conference on Integrative Approach for Complex Diseases Prevention and Management and Beyond, December 16, 2020.
2020 年 FASEB 虚拟催化剂会议,讨论复杂疾病预防和管理及其他综合方法,2020 年 12 月 16 日。
DOI:
10.1096/fj.202100317
发表时间:
2021
期刊:
FASEB journal : official publication of the Federation of American Societies for Experimental Biology
影响因子:
--
作者:
[Chan,KeiHangKatie, Hsu,Yi-Hsiang, Yang,Xia, Goto,Atsushi, Chen,BrianH]
通讯作者:
Chen,BrianH
Bioinformatics Core
-
批准号:10404414
-
项目类别:
-
资助金额:$9.07万
-
财政年份:2023
-
负责人:Yi-Hsiang Hsu
-
依托单位:
Identifying Osteoporosis Genes by Whole Genome Sequencing and Functional Validation in Zebra Fish
-
批准号:10241898
-
项目类别:
-
资助金额:$69.47万
-
财政年份:2017
-
负责人:Yi-Hsiang Hsu
-
依托单位:
Identifying Osteoporosis Genes by Whole Genome Sequencing and Functional Validation in Zebra Fish
-
批准号:9367512
-
项目类别:
-
资助金额:$59.2万
-
财政年份:2017
-
负责人:Yi-Hsiang Hsu
-
依托单位:
Osteocalcin and Metabolic Risk Factors. The Framingham Study
-
批准号:8123293
-
项目类别:
-
资助金额:$16.74万
-
财政年份:2010
-
负责人:Yi-Hsiang Hsu
-
依托单位:
Osteocalcin and Metabolic Risk Factors. The Framingham Study
-
批准号:7990841
-
项目类别:
-
资助金额:$20.93万
-
财政年份:2010
-
负责人:Yi-Hsiang Hsu
-
依托单位:
海外基金