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Testing of mosquito samples has identified Staten Island for the second year in a row as the place where the virus is most concentrated in the city, with more than double the number of infected mosquito samples found there than in the four other boroughs combined.
Whole-genome sequencing of tumor samples has identified thousands of somatic mutations outside of coding regions [ 106- 108].
Our study of plasma samples has identified miR-331-3p as being significantly associated with the presence of prostate cancer, suggesting that this miR may be mechanistically important in the development and/or progression of this malignancy.
As reviewed previously in this Journal [ 2], a large GWAS meta-analysis from the Global Lipids Consortium (GLGC) with more than 100 000 samples has identified 95 known and novel genetic loci associated with lipid levels [ 3].
Comparison of transcriptome sequences of the same genes between the tame and aggressive fox samples, has identified a large set of informative SNP markers and begun a catalogue of gene-specific sequence variants between the two strains.
Moreover, subsequent sequencing of paleontological samples has identified the human-specific coding changes of FOXP2 in Neanderthal tissues, which suggests a more ancient origin, given that Neanderthals split from humans at least 400,000 years ago [ 40].
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Recent next generation sequencing studies on human patient-derived clinical samples have identified various types of recurrent mutations in individual neurological diseases.
Ground-breaking findings from neurophysiological experiments in animals, alongside neuropharmacology and neuroimaging research in human samples have identified dopamine as the main neurochemical messenger of global reward processing in the brain.
Gene expression analyses of saliva and sputum samples have identified possible biomarkers that have clinical potential in detecting NSCLC.
Previous studies on tumor samples have identified recurrent genomic gains at 1q32, 2p24, 6p22 and losses at 16q22 [20].
Short term studies with small samples have identified a trend towards higher blood pressure among shift workers [3], [4].
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