8 research outputs found
Finding AGN in Deep X-ray Flux States with Swift
We report on our ongoing project of finding Active Galactic Nuclei (AGN) that
go into deep X-ray flux states detected by Swift. Swift is performing an
extensive study on the flux and spectral variability of AGN using Guest
Investigator and team fill-in programs followed by triggering XMM_Newton for
deeper follow-up observations. So far this program has been very successful and
has led to a number of XMM-Newton follow up observations, including Mkn 335, PG
0844+349, and RX J2340.8-5329. Recent analysis of new Swift AGN observations
reveal several AGN went into a very low X-ray flux state, particularly
Narrow-Line Seyfert 1 galaxies. One of these is RX J2317-4422, which dropped by
a factor of about 60 when compared to the ROSAT All-Sky Survey.Comment: 6 pages, 3 figures, Proceedings of the "10 Years of Swift" Meeting
held in Rome in December 2014. Submitted to Po
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function.
Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function
Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways