25 research outputs found
ASAS-SN Sky Patrol V2.0
The All-Sky Automated Survey for Supernovae (ASAS-SN) began observing in
late-2011 and has been imaging the entire sky with nightly cadence since late
2017. A core goal of ASAS-SN is to release as much useful data as possible to
the community. Working towards this goal, in 2017 the first ASAS-SN Sky Patrol
was established as a tool for the community to obtain light curves from our
data with no preselection of targets. Then, in 2020 we released static V-band
photometry from 2013--2018 for 61 million sources. Here we describe the next
generation ASAS-SN Sky Patrol, Version 2.0, which represents a major
progression of this effort. Sky Patrol 2.0 provides continuously updated light
curves for 111 million targets derived from numerous external catalogs of
stars, galaxies, and solar system objects. We are generally able to serve
photometry data within an hour of observation. Moreover, with a novel database
architecture, the catalogs and light curves can be queried at unparalleled
speed, returning thousands of light curves within seconds. Light curves can be
accessed through a web interface (http://asas-sn.ifa.hawaii.edu/skypatrol/) or
a Python client (https://asas-sn.ifa.hawaii.edu/documentation). The Python
client can be used to retrieve up to 1 million light curves, generally limited
only by bandwidth. This paper gives an updated overview of our survey,
introduces the new Sky Patrol, and describes its system architecture. These
results provide significant new capabilities to the community for pursuing
multi-messenger and time-domain astronomy.Comment: Light curves can be accessed through a web interface
http://asas-sn.ifa.hawaii.edu/skypatrol, or a Python client at
http://asas-sn.ifa.hawaii.edu/documentatio
Backward pion-nucleon scattering
A global analysis of the world data on differential cross sections and
polarization asymmetries of backward pion-nucleon scattering for invariant
collision energies above 3 GeV is performed in a Regge model. Including the
, , and trajectories, we
reproduce both angular distributions and polarization data for small values of
the Mandelstam variable , in contrast to previous analyses. The model
amplitude is used to obtain evidence for baryon resonances with mass below 3
GeV. Our analysis suggests a resonance with a mass of 2.83 GeV as
member of the trajectory from the corresponding Chew-Frautschi
plot.Comment: 12 pages, 16 figure
Recommended from our members
Genome-Wide Association Scan for Diabetic Nephropathy Susceptibility Genes in Type 1 Diabetes
OBJECTIVE—Despite extensive evidence for genetic susceptibility
to diabetic nephropathy, the identification of susceptibility
genes and their variants has had limited success. To search for
genes that contribute to diabetic nephropathy, a genome-wide
association scan was implemented on the Genetics of Kidneys in
Diabetes collection.
RESEARCH DESIGN AND METHODS—We genotyped
360,000 single nucleotide polymorphisms (SNPs) in 820 case
subjects (284 with proteinuria and 536 with end-stage renal
disease) and 885 control subjects with type 1 diabetes. Confirmation
of implicated SNPs was sought in 1,304 participants of the
Diabetes Control and Complications Trial (DCCT)/Epidemiology
of Diabetes Interventions and Complications (EDIC) study, a
long-term, prospective investigation of the development of diabetes-
associated complications.
RESULTS—A total of 13 SNPs located in four genomic loci were
associated with diabetic nephropathy with P1105. The
strongest association was at the FRMD3 (4.1 protein ezrin,
radixin, moesin [FERM] domain containing 3) locus (odds ratio
[OR]1.45, P5.0107). A strong association was also
identified at the CARS (cysteinyl-tRNA synthetase) locus (OR
1.36, P3.1106). Associations between both loci and time to
onset of diabetic nephropathy were supported in the DCCT/EDIC
study (hazard ratio [HR]1.33, P0.02, and HR1.32, P
0.01, respectively). We demonstrated expression of both FRMD3
and CARS in human kidney.
CONCLUSIONS—We identified genetic associations for susceptibility
to diabetic nephropathy at two novel candidate loci near
the FRMD3 and CARS genes. Their identification implicates
previously unsuspected pathways in the pathogenesis of this
important late complication of type 1 diabetes
Genome-Wide Association Scan for Diabetic Nephropathy Susceptibility Genes in Type 1 Diabetes
10.2337/db08-1514Diabetes5861403-1410DIAE
New genetic loci link adipose and insulin biology to body fat distribution.
Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms
Genome-Wide Association Study of Diabetic Kidney Disease Highlights Biology Involved in Glomerular Basement Membrane Collagen
Background Although diabetic kidney disease demonstrates both familial clustering and single nucleotide polymorphism heritability, the specific genetic factors influencing risk remain largely unknown. Methods To identify genetic variants predisposing to diabetic kidney disease, we performed genome-wide association study (GWAS) analyses. Through collaboration with the Diabetes Nephropathy Collaborative Research Initiative, we assembled a large collection of type 1 diabetes cohorts with harmonized diabetic kidney disease phenotypes. We used a spectrum of ten diabetic kidney disease definitions based on albuminuria and renal function. Results Our GWAS meta-analysis included association results for up to 19,406 individuals of European descent with type 1 diabetes. We identified 16 genome-wide significant risk loci. The variant with the strongest association (rs55703767) is a common missense mutation in the collagen type IV alpha 3 chain (COL4A3) gene, which encodes a major structural component of the glomerular basement membrane (GBM). Mutations in COL4A3 are implicated in heritable nephropathies, including the progressive inherited nephropathy Alport syndrome. The rs55703767 minor allele (Asp326Tyr) is protective against several definitions of diabetic kidney disease, including albuminuria and ESKD, and demonstrated a significant association with GBM width; protective allele carriers had thinner GBM before any signs of kidney disease, and its effect was dependent on glycemia. Three other loci are in or near genes with known or suggestive involvement in this condition (BMP7) or renal biology (COLEC11 and DDR1). Conclusions The 16 diabetic kidney disease-associated loci may provide novel insights into the pathogenesis of this condition and help identify potential biologic targets for prevention and treatment.Peer reviewe
Air Pollution and Health - A Science-Policy Initiative
Air pollution is a major, preventable and manageable threat to people’s health, well-being and the fulfillment
of sustainable development. Air pollution is estimated to contribute to at least 5 million premature deaths
each year across the world. No one remains unaffected by dirty air, but the adverse impacts of air pollution fall most heavily upon vulnerable populations, such as children, women, and people living in poverty
— groups to whom States have special obligations under international human rights law. The National
Academies of Sciences and Medicine of South Africa, Brazil, Germany and the United States of America
are calling upon government leaders, business and citizens to take urgent action on reducing air pollution
throughout the world — to the benefit of human health and well-being, to the benefit of the environment
and as a condition towards sustainable development. Air pollution is a cross-cutting aspect of many UN
Sustainable Development Goals