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    "Psaty, BM"的相關文件 

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    顯示 15 項.

    類別 日期 題名 關聯 檔案
    [鍾仁華] 期刊論文 2023-04-12 Aberrant activation of TCL1A promotes stem cell expansion in clonal haematopoiesis -
    [張憶壽] 期刊論文 2022-10-27 A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies -
    [鍾仁華] 期刊論文 2020-09 Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale -
    [熊昭] 期刊論文 2020-10 Inherited causes of clonal haematopoiesis in 97,691 whole genomes -
    [鍾仁華] 期刊論文 2021-03-11 Inherited causes of clonal haematopoiesis in 97,691 whole genomes[Erratum:Nature. 2020 Oct;586(7831):763-768.] -
    [鍾仁華] 期刊論文 2022-08-01 Insights from a large-scale whole-genome sequencing study of systolic blood pressure, diastolic blood pressure, and hypertension -
    [鍾仁華] 期刊論文 2023-12-14 Machine learning models for blood pressure phenotypes combining multiple polygenic risk scores -
    [鍾仁華] 期刊論文 2024-05-30 Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores -
    [熊昭] 期刊論文 2023-02 Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing -
    [鍾仁華] 期刊論文 2022-12-23 Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies -
    [鍾仁華] 期刊論文 2024-10-09 Rare variant contribution to the heritability of coronary artery disease -
    [許惠恒] 期刊論文 2023-06-29 Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed Whole Genome Sequencing Study -
    [許惠恒] 期刊論文 2023-10-05 Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed whole-genome sequencing study -
    [鍾仁華] 期刊論文 2021-06-09 Variant-specific inflation factors for assessing population stratification at the phenotypic variance level -
    [鍾仁華] 期刊論文 2022-10-11 Whole genome sequence analysis of blood lipid levels in >66,000 individuals -

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