Science Advances · 2019 · 36 citations · 29 references
The impact of the <i>FMR1</i> premutation on human health is the subject of considerable controversy. A fundamental unanswered question is whether carrying the premutation allele is directly correlated with clinical phenotypes. A challenging problem in past genotype-phenotype studies of the <i>FMR1</i> premutation is ascertainment bias, which could lead to invalid research conclusions and negatively affect clinical practice. Here, we created the first population-based <i>FMR1</i>-informed biobank to find the pattern of health characteristics in premutation carriers. Our extensive phenotyping shows that premutation carriers experience a clinical profile that is significantly different from controls and is evident throughout adulthood. Comprehensive understanding of the clinical risk associated with this genetic variant is critical for premutation carriers, their families, and clinicians and has important implications for public health.
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Leo Breiman · Machine Learning · 2001 · 119.3K citations · Full text
Classification and Regression by randomForest
Andy Liaw, Matthew C. Wiener · 2007 · 18.4K citations
What's In A Name? Malay Seals As Onomastic Sources
Annabel Teh Gallop · Malay Literature · 2018 · 1.5K citations · Full text
Language Documentation, Southeast Asia, East Asian Studies +8