Helsingin Sanomain Herra Päätoimittajalle 2/6 1973

Kirje 2.6.1973

Tasavallan Presidentti Urho Kekkosen vierailu Tshekkoslovakiaan 1.-4.10.1969 (Tasavallan Presidentin radio- ja TV-haastattelu Romanian, Unkarin ja Tshekkoslovakian matkojen jälkeen 6.10.1969)

Haastattelu

Secure and Prepared Newsletter, July 15, 2010, Vol. 6, no. 14

A bi-weekly newsletter for those involved in the fields of homeland security and/or emergency management

Agri-News, July 25, 2006, Vol. 6, no. 14

Crop and livestock summaries for the state of Iowa, produced by the Iowa Department of Agriculture.

Agri-News, October 15, 2010, Vol. 10, no. 18

Crop and livestock summaries for the state of Iowa, produced by the Iowa Department of Agriculture.

Iowa Lottery Action, Vol. 20, No. 2, Feb. 10-23, 2014

Iowa Lottery Retailer Newsletter

Aging Watch: Supplement Brief, April 2, 2014, Vol. 14, no. 4

Aging Watch is provided in the spirit of information and education. The opinions expressed by the contributors do not necessarily reflect those of the Department or its programs. The Department shall not be liable for any damages that may result from errors or omissions in information distributed in this publication. Aging Watch will be published regularly during the legislative session and monthly in the interim by the Iowa Department on Aging. “Aging Watch.” The Department is providing this update to better inform you about policy affecting older Iowans. In addition to policy updates from the statehouse and the nation’s capitol, you’ll learn about Department programs and changes affecting the landscape. As you’ll learn reading this and future editions, big changes are coming for the Iowa Aging Network. Over the next year the Department will be reducing the number of local Area Agencies on Aging, as required by legislative action. Not surprisingly, this is a major change for everyone.

PFKFB3 (6-phosphofructo-2-kinase/fructose-2,6-biphosphatase 3)

The human PFKFB3 is composed of 19 exons spanning genomic region about 90,6 Kb (GenBank). Alternative splicing variants have been reported. The main variants corresponding to mRNAs of 4453 bp and 4224 bp for the variant 1 u-PFK2 (NM_004566.3) and variant 2 i-PFK2 (NM_001145443.1), respectively...

Overlap Between Common Genetic Polymorphisms Underpinning Kidney Traits and Cardiovascular Disease Phenotypes: The CKDGen Consortium.

BACKGROUND: Chronic kidney disease is associated with cardiovascular disease. We tested for evidence of a shared genetic basis to these traits. STUDY DESIGN: We conducted 2 targeted analyses. First, we examined whether known single-nucleotide polymorphisms (SNPs) underpinning kidney traits were associated with a series of vascular phenotypes. Additionally, we tested whether vascular SNPs were associated with markers of kidney damage. Significance was set to 1.5×10(-4) (0.05/325 tests). SETTING & PARTICIPANTS: Vascular outcomes were analyzed in participants from the AortaGen (20,634), CARDIoGRAM (86,995), CHARGE Eye (15,358), CHARGE IMT (31,181), ICBP (69,395), and NeuroCHARGE (12,385) consortia. Tests for kidney outcomes were conducted in up to 67,093 participants from the CKDGen consortium. PREDICTOR: We used 19 kidney SNPs and 64 vascular SNPs. OUTCOMES & MEASUREMENTS: Vascular outcomes tested were blood pressure, coronary artery disease, carotid intima-media thickness, pulse wave velocity, retinal venular caliber, and brain white matter lesions. Kidney outcomes were estimated glomerular filtration rate and albuminuria. RESULTS: In general, we found that kidney disease variants were not associated with vascular phenotypes (127 of 133 tests were nonsignificant). The one exception was rs653178 near SH2B3 (SH2B adaptor protein 3), which showed direction-consistent association with systolic (P = 9.3 ×10(-10)) and diastolic (P = 1.6 ×10(-14)) blood pressure and coronary artery disease (P = 2.2 ×10(-6)), all previously reported. Similarly, the 64 SNPs associated with vascular phenotypes were not associated with kidney phenotypes (187 of 192 tests were nonsignificant), with the exception of 2 high-correlated SNPs at the SH2B3 locus (P = 1.06 ×10(-07) and P = 7.05 ×10(-08)). LIMITATIONS: The combined effect size of the SNPs for kidney and vascular outcomes may be too low to detect shared genetic associations. CONCLUSIONS: Overall, although we confirmed one locus (SH2B3) as associated with both kidney and cardiovascular disease, our primary findings suggest that there is little overlap between kidney and cardiovascular disease risk variants in the overall population. The reciprocal risks of kidney and cardiovascular disease may not be genetically mediated, but rather a function of the disease milieu itself.