Large-scale chromatin immunoprecipitation (ChIP) studies have been effective in unravelling the distribution of DNA-binding transcription factors along eukaryotic genomes, but specificity determinants remain elusive. Gene-regulatory regions display distinct histone variants and modifications (or marks). An attractive hypothesis is that these marks modulate protein recognition, but whether or not this applies to transcription factors remains unknown. Based on large-scale datasets and quantitative ChIP, we dissect the correlations between 35 histone marks and genomic binding by the transcription factor Myc. Our data reveal a relatively simple combinatorial organization of histone marks in human cells, with a few main groups of marks clustering on distinct promoter populations. A stretch of chromatin bearing high H3 K4/K79 methylation and H3 acetylation (or 'euchromatic island'), which is generally associated with a pre-engaged basal transcription machinery, is a strict pre-requisite for recognition of any target site by Myc (whether the consensus CACGTG or an alternative sequence). These data imply that tethering of a transcription factor to restricted chromatin domains is rate-limiting for sequence-specific DNA binding in vivo.

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Epistatic interactions between the ACE, ADD and AS genes contribute to the prevalence and incidence of hypertension in Caucasians. The clinical relevance of the risk-conferring haplotypes identified in our prospective study was underscored by their positive predictive values, which under the assumption of a 20% life-time risk of hypertension, ranged from 29.8-40.1%.

ABSTRACT:Recently, the SNPs rs11614913 in hsa-mir-196a2 and rs3746444 in hsa-mir-499 were reported to be associated with increased breast cancer risk, and the SNP rs2910164 in hsa-mir146a was shown to have an effect on age of breast cancer diagnosis. In order to further investigate the effect of these SNPs, we genotyped a total of 1894 breast cancer cases negative for diseasecausing mutations or unclassified variants in BRCA1 and BRCA2, and 2760 controls from Germany and Italy. We compared the genotype and allele frequencies of rs2910164, rs11614913 and rs3746444 in cases versus controls of the German and Italian series, and of the two series combined; we also investigated the effect of the three SNPs on age at breast cancer diagnosis. None of the performed analyses showed statistically significant results. In conclusion, our data suggested lack of association between SNPs rs2910164, rs11614913 and rs3746444 and breast cancer risk, or age at breast cancer onset.