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Currently, >30 genetic variants have been identified in large multicenter studies with sufficient power to be associated with an increased risk of type 2 diabetes (1– 3).
No evidence has been identified in large scale pooled analyses of the worldwide data for a possible alternate explanation that sexually transmitted infections act as a co-factor in HPV persistence and/or progression.
Individual patient factors have also been identified in large studies as independently predicting increased risk of morbidity and mortality after surgery, including age and poor nutritional and functional status [ 8, 9].
Repetitive sequences are not only found in eukaryotic genomes [ 15], but have also been identified in large DNA viruses, where they are involved in genome replication and gene transcription [ 16, 17].
Since the first report on antiganglioside antibodies in GBS [ 70], it had been identified in large group of patients and its association had been established with different clinical subtypes of GBS.
HOT regions have been identified in large scale studies of the Drosophila, C. elegans and human genomes, and represent genomic sites where many functionally unrelated transcription factors bind, frequently in the absence of specific binding motifs [ 66].
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Many cancer-related genes have been identified in large-scale sequencing projects.
Until now, transcriptional changes caused only by the single deletion of PKH1 or PKH3 have been identified in large-scale studies [ 16, 17].
It has been noted that no major signaling molecules that could facilitate crosstalk between the major hypodermis and the seam syncytium have been identified in large-scale screens for genes involved in molting (Frand et al., 2005).
Overall ~185 loci associated with obesity traits have been identified in large-scale GWAS efforts; analyses in Europeans found associations between 77 loci and BMI [ 52– 58] 58], 48 loci and WHR (adjusted for BMI, WHRadjBMI) [ 59– 62] 62], and three loci and body fat% [ 3].
Future studies should further assess the parameters that have been identified in larger populations of patients and evaluate whether they can also be used to assess prognosis at other time points.
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