SNPwatch gives you the latest news about research linking various traits and conditions to individual genetic variations. These studies are exciting because they offer a glimpse into how genetics may affect our bodies and health; but in most cases, more work is needed before this research can provide information of value to individuals. For that reason it is important to remember that like all information we provide, the studies we describe in SNPwatch are for research and educational purposes only. SNPwatch is not intended to be a substitute for professional medical advice; you should always seek the advice of your physician or other appropriate healthcare professional with any questions you may have regarding diagnosis, cure, treatment or prevention of any disease or other medical condition.PLoS Genetics, show that a variant in a gene never before linked to diabetes, HK1, is associated with glycated hemoglobin levels. Three other genes previously linked to diabetes and blood glucose concentration – GCK, SLC30A8 and G6PC2 – also harbored significantly associated variants.According to the authors, the discovery of a link between the HK1 gene and glycated hemoglobin levels paves the way for further studies of the role of this gene in glucose metabolism and diabetes. The HK1 gene encodes the enzyme that carries out the first step of sugar breakdown in many cells throughout the body.Together the four variants the researchers found account for only a very small proportion of the total variance in glycated hemoglobin levels in the population – just 1.4%. Age, body mass index (BMI) and menopause status, on the other hand, explain about 9.5% of the variance.Glycation of proteins in tissues other than red blood cells is thought to underlie the long-term complications of diabetes. The authors say it remains an open question whether the differences in glycated hemoglobin associated with the genetic variants identified in this study are paralleled in other parts of the body.The SNPs associated with glycated hemoglobin levels are listed below by rsid#, gene, and the version associated with higher levels.