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zadetkov: 63
1.
  • Model-free Estimation of Re... Model-free Estimation of Recent Genetic Relatedness
    Conomos, Matthew P.; Reiner, Alexander P.; Weir, Bruce S. ... American journal of human genetics, 01/2016, Letnik: 98, Številka: 1
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    Genealogical inference from genetic data is essential for a variety of applications in human genetics. In genome-wide and sequencing association studies, for example, accurate inference on both ...
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2.
  • Control for Population Stru... Control for Population Structure and Relatedness for Binary Traits in Genetic Association Studies via Logistic Mixed Models
    Chen, Han; Wang, Chaolong; Conomos, Matthew P. ... American journal of human genetics, 04/2016, Letnik: 98, Številka: 4
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    Linear mixed models (LMMs) are widely used in genome-wide association studies (GWASs) to account for population structure and relatedness, for both continuous and binary traits. Motivated by the ...
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3.
  • Genetic association testing... Genetic association testing using the GENESIS R/Bioconductor package
    Gogarten, Stephanie M; Sofer, Tamar; Chen, Han ... Bioinformatics (Oxford, England), 12/2019, Letnik: 35, Številka: 24
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    The Genomic Data Storage (GDS) format provides efficient storage and retrieval of genotypes measured by microarrays and sequencing. We developed GENESIS to perform various single- and ...
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4.
  • Robust Inference of Populat... Robust Inference of Population Structure for Ancestry Prediction and Correction of Stratification in the Presence of Relatedness
    Conomos, Matthew P.; Miller, Michael B.; Thornton, Timothy A. Genetic epidemiology, 20/May , Letnik: 39, Številka: 4
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    ABSTRACT Population structure inference with genetic data has been motivated by a variety of applications in population genetics and genetic association studies. Several approaches have been proposed ...
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5.
  • A Multi-omic Association St... A Multi-omic Association Study of Trimethylamine N-Oxide
    Manor, Ohad; Zubair, Niha; Conomos, Matthew P. ... Cell reports (Cambridge), 07/2018, Letnik: 24, Številka: 4
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    Trimethylamine N-oxide (TMAO) is a circulating metabolite that has been implicated in the development of atherosclerosis and cardiovascular disease (CVD). In this paper, we identify blood markers, ...
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6.
  • SeqArray-a storage-efficien... SeqArray-a storage-efficient high-performance data format for WGS variant calls
    Zheng, Xiuwen; Gogarten, Stephanie M; Lawrence, Michael ... Bioinformatics (Oxford, England), 08/2017, Letnik: 33, Številka: 15
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    Whole-genome sequencing (WGS) data are being generated at an unprecedented rate. Analysis of WGS data requires a flexible data format to store the different types of DNA variation. Variant call ...
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7.
  • GWASTools: an R/Bioconducto... GWASTools: an R/Bioconductor package for quality control and analysis of genome-wide association studies
    GOGARTEN, Stephanie M; BHANGALE, Tushar; NELSON, Sarah C ... Bioinformatics, 12/2012, Letnik: 28, Številka: 24
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    GWASTools is an R/Bioconductor package for quality control and analysis of genome-wide association studies (GWAS). GWASTools brings the interactive capability and extensive statistical libraries of R ...
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8.
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9.
  • Principles and methods for transferring polygenic risk scores across global populations
    Kachuri, Linda; Chatterjee, Nilanjan; Hirbo, Jibril ... Nature reviews. Genetics, 01/2024, Letnik: 25, Številka: 1
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    Polygenic risk scores (PRSs) summarize the genetic predisposition of a complex human trait or disease and may become a valuable tool for advancing precision medicine. However, PRSs that are developed ...
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10.
  • Genome-wide Association Stu... Genome-wide Association Study of Platelet Count Identifies Ancestry-Specific Loci in Hispanic/Latino Americans
    Schick, Ursula M.; Jain, Deepti; Hodonsky, Chani J. ... American journal of human genetics, 02/2016, Letnik: 98, Številka: 2
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    Platelets play an essential role in hemostasis and thrombosis. We performed a genome-wide association study of platelet count in 12,491 participants of the Hispanic Community Health Study/Study of ...
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zadetkov: 63

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