
Katherine Smith
Articles
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Sep 11, 2024 |
nature.com | Manik Garg |Lawrence Middleton |Eleanor Wheeler |Katherine Smith |Euan A. Ashley |Andrew Harper | +2 more
AbstractThe emergence of biobank-level datasets offers new opportunities to discover novel biomarkers and develop predictive algorithms for human disease. Here, we present an ensemble machine-learning framework (machine learning with phenotype associations, MILTON) utilizing a range of biomarkers to predict 3,213 diseases in the UK Biobank.
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Aug 27, 2024 |
nature.com | Ryan S. Dhindsa |Katherine Smith |Henric Olsson |Adam Platt |Dimitrios M. Vitsios
AbstractTelomeres protect chromosome ends from damage and their length is linked with human disease and aging. We developed a joint telomere length metric, combining quantitative PCR and whole-genome sequencing measurements from 462,666 UK Biobank participants. This metric increased SNP heritability, suggesting that it better captures genetic regulation of telomere length.
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Oct 30, 2023 |
naturalmedicine.net.nz | Katherine Smith
As early as 2020, doctors who were treating Covid patients who required hospital care had observed that many of these patients were suffering from excessive blood clotting, which could result in large clots (which could result in a stroke or heart attack) or microclots in small blood vessels (which, if sufficiently numerous, could starve the tissues in the vicinity of oxygen and lead to organ failure).
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Oct 24, 2023 |
naturalmedicine.net.nz | Katherine Smith
Ed note: Issue 49 of The NZ Journal of Natural Medicine features an introductory article about an organisation that is relatively new to NZ (and Australia) called the “People’s Health Alliance” (or PHA). The websites for NZ and Australia are https://the-pha.nz/ and https://www.pha-australia.org/.)Below is an interview with the co-founder of the NZ PHA, Rachel Shields. It is based on a transcript of an the interview from early 2023.
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Oct 11, 2023 |
nature.com | Jason Torres |Jesus Alegre-Díaz |Joshua Backman |Joelle Mbatchou |Michael Turner |Yuxin Zou | +18 more
AbstractThe Mexico City Prospective Study is a prospective cohort of more than 150,000 adults recruited two decades ago from the urban districts of Coyoacán and Iztapalapa in Mexico City1. Here we generated genotype and exome-sequencing data for all individuals and whole-genome sequencing data for 9,950 selected individuals. We describe high levels of relatedness and substantial heterogeneity in ancestry composition across individuals.
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