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Matthew P. Johnson

Researcher at University of Texas at Austin

Publications -  107
Citations -  6491

Matthew P. Johnson is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Genome-wide association study & Single-nucleotide polymorphism. The author has an hindex of 36, co-authored 100 publications receiving 5598 citations. Previous affiliations of Matthew P. Johnson include Griffith University & Texas Biomedical Research Institute.

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A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants

Lars G. Fritsche, +185 more
- 01 Feb 2016 - 
TL;DR: The results support the hypothesis that rare coding variants can pinpoint causal genes within known genetic loci and illustrate that applying the approach systematically to detect new loci requires extremely large sample sizes.
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Identification of common variants associated with human hippocampal and intracranial volumes

Jason L. Stein, +237 more
- 01 May 2012 - 
TL;DR: In this article, the authors report genome-wide association meta-analyses and replication for mean bilateral hippocampal, total brain and intracranial volumes from a large multinational consortium.
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Discovery of expression QTLs using large-scale transcriptional profiling in human lymphocytes.

TL;DR: To highlight the usefulness of this much-enlarged map of cis-regulated transcripts for the discovery of genes that influence complex traits in humans, as an example, high-density lipoprotein cholesterol concentration is selected as a phenotype of clinical importance and the cis- regulated vanin 1 (VNN1) gene is identified as harboring sequence variants that influence high- density lipop protein cholesterol concentrations.
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The transcriptional landscape of age in human peripheral blood

Marjolein J. Peters, +158 more
TL;DR: Differences between transcriptomic age and chronological age are associated with biological features linked to ageing, such as blood pressure, cholesterol levels, fasting glucose, and body mass index and the transcriptomic prediction model adds biological relevance and complements existing epigenetic prediction models.
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Arrays of complementary oligonucleotides for analysing the hybridisation behaviour of nucleic acids

TL;DR: The array is used in a hybridisation reaction to a labelled target sequence, and shows the hybridisation behaviour of every oligonucleotide in the target sequence with its complement in the array.