@misc{BeaumontWarringtonCavadinoetal.2017, author = {Beaumont, Robin N. and Warrington, Nicole M. and Cavadino, Alana and Tyrrell, Jessica and Nodzenski, Michael and Horikoshi, Momoko and Geller, Frank and Myhre, Ronny and Richmond, Rebecca C. and Paternoster, Lavinia and Bradfield, Jonathan P. and Kreiner-M{\o}ller, Eskil and Huikari, Ville and Metrustry, Sarah and Lunetta, Kathryn L. and Painter, Jodie N. and Hottenga, Jouke-Jan and Allard, Catherine and Barton, Sheila J. and Espinosa, Ana and Marsh, Julie A. and Potter, Catherine and Zhang, Ge and Ang, Wei and Berry, Diane J. and Bouchard, Luigi and Das, Shikta and Hakonarson, Hakon and Heikkinen, Jani and Helgeland, {\O}yvind and Hocher, Berthold and Hofman, Albert and Inskip, Hazel M. and Jones, Samuel E. and Kogevinas, Manolis and Lind, Penelope A. and Marullo, Letizia and Medland, Sarah E. and Murray, Anna and Murray, Jeffrey C. and Nj{\o}lstad, Pa ̊l R. and Nohr, Ellen A. and Reichetzeder, Christoph and Ring, Susan M. and Ruth, Katherine S. and Santa-Marina, Loreto and Scholtens, Denise M. and Sebert, Sylvain and Sengpiel, Verena and Tuke, Marcus A. and Vaudel, Marc and Weedon, Michael N. and Willemsen, Gonneke and Wood, Andrew R. and Yaghootkar, Hanieh and Muglia, Louis J. and Bartels, Meike and Relton, Caroline L. and Pennell, Craig E. and Chatzi, Leda and Estivill, Xavier and Holloway, John W. and Boomsma, Dorret I. and Montgomery, Grant W. and Murabito, Joanne M. and Spector, Tim D. and Power, Christine and Ja ̈rvelin, Marjo-Ritta and Bisgaard, Hans and Grant, Struan F.A. and S{\o}rensen, Thorkild I.A. and Jaddoe, Vincent W. and Jacobsson, Bo and Melbye, Mads and McCarthy, Mark I. and Hattersley, Andrew T. and Hayes, M. Geoffrey and Frayling, Timothy M. and Hivert, Marie-France and Felix, Janine F. and Hyppo ̈nen, Elina and Lowe, William L. , Jr and Evans, David M. and Lawlor, Debbie A. and Feenstra, Bjarke and Freathy, Rachel M.}, title = {Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics}, series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {628}, issn = {1866-8372}, doi = {10.25932/publishup-42310}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-423100}, pages = {15}, year = {2017}, abstract = {Genome-wide association studies of birth weight have focused on fetal genetics, whereas relatively little is known about the role of maternal genetic variation. We aimed to identify maternal genetic variants associated with birth weight that could highlight potentially relevant maternal determinants of fetal growth. We meta-analysed data on up to 8.7 million SNPs in up to 86 577 women of European descent from the Early Growth Genetics (EGG) Consortium and the UK Biobank. We used structural equation modelling (SEM) and analyses of mother-child pairs to quantify the separate maternal and fetal genetic effects. Maternal SNPs at 10 loci (MTNR1B, HMGA2, SH2B3, KCNAB1, L3MBTL3, GCK, EBF1, TCF7L2, ACTL9, CYP3A7) were associated with offspring birth weight at P < 5 {\^A} 10 {\`A}8 . In SEM analyses, at least 7 of the 10 associations were consistent with effects of the maternal genotype acting via the intrauterine environment, rather than via effects of shared alleles with the fetus. Variants, or correlated proxies, at many of the loci had been previously associated with adult traits, including fasting glucose (MTNR1B, GCK and TCF7L2) and sex hormone levels (CYP3A7), and one (EBF1) with gestational duration. The identified associations indicate that genetic effects on maternal glucose, cytochrome P450 activity and gestational duration, and potentially on maternal blood pressure and immune function, are relevant for fetal growth. Further characterization of these associations in mechanistic and causal analyses will enhance understanding of the potentially modifiable maternal determinants of fetal growth, with the goal of reducing the morbidity and mortality associated with low and high birth weights.}, language = {en} } @article{AhmedReynaGonzalezSchmidetal.2017, author = {Ahmed, Muhammad N. and Reyna-Gonzalez, Emmanuel and Schmid, Bianca and Wiebach, Vincent and Suessmuth, Roderich D. and Dittmann, Elke and Fewer, David P.}, title = {Phylogenomic Analysis of the Microviridin Biosynthetic Pathway Coupled with Targeted Chemo-Enzymatic Synthesis Yields Potent Protease Inhibitors}, series = {ACS chemical biology}, volume = {12}, journal = {ACS chemical biology}, publisher = {American Chemical Society}, address = {Washington}, issn = {1554-8929}, doi = {10.1021/acschembio.7b00124}, pages = {1538 -- 1546}, year = {2017}, abstract = {Natural products and their semisynthetic derivatives are an important source of drugs for the pharmaceutical industry. Bacteria are prolific producers of natural products and encode a vast diversity of natural product biosynthetic gene clusters. However, much of this diversity is inaccessible to natural product discovery. Here, we use a combination of phylogenomic analysis of the microviridin biosynthetic pathway and chemo-enzymatic synthesis of bioinformatically predicted microviridins to yield new protease inhibitors. Phylogenomic analysis demonstrated that microviridin biosynthetic gene clusters occur across the bacterial domain and encode three distinct subtypes of precursor peptides. Our analysis shed light on the evolution of microviridin biosynthesis and enabled prioritization of their chemo-enzymatic production. Targeted one-pot synthesis of four microviridins encoded by the cyanobacterium Cyanothece sp. PCC 7822 identified a set of novel and potent serine protease inhibitors, the most active of which had an IC50 value of 21.5 nM. This study advances the genome mining techniques available for natural product discovery and obviates the need to culture bacteria.}, language = {en} }