@article{WheelerBarquistKingsleyetal.2016,
  author    = {Wheeler, Nicole E. and Barquist, Lars and Kingsley, Robert A. and Gardner, Paul P.},
  title     = {A profile-based method for identifying functional divergence of orthologous genes in bacterial genomes},
  series = {Bioinformatics},
  volume    = {32},
  journal   = {Bioinformatics},
  number    = {23},
  doi       = {10.1093/bioinformatics/btw518},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-186502},
  pages     = {3566-3574},
  year      = {2016},
  abstract  = {Motivation: Next generation sequencing technologies have provided us with a wealth of information on genetic variation, but predi cting the functional significance of this variation is a difficult task. While many comparative genomics studies have focused on gene flux and large scale changes, relatively little attention has been paid to quantifying the effects of single nucleotide polymorphisms and indels on protein function, particularly in bacterial genomics. Results: We present a hidden Markov model based approach we call delta-bitscore (DBS) for identifying orthologous proteins that have diverged at the amino acid sequence level in a way that is likely to impact biological function. We benchmark this approach with several widely used datasets and apply it to a proof-of-concept study of orthologous proteomes in an investigation of host adaptation in Salmonella enterica. We highlight the value of the method in identifying functional divergence of genes, and suggest that this tool may be a better approach than the commonly used dN/dS metric for identifying functionally significant genetic changes occurring in recently diverged organisms.},
  language  = {en}
}
@article{CarstenAGorskiLietal.2011,
  author    = {Carsten A., B{\"o}ger and Gorski, Mathias and Li, Man and Hoffmann, Michael M. and Huang, Chunmei and Yang, Qiong and Teumer, Alexander and Krane, Vera and O'Seaghdha, Conall M. and Kutalik, Zolt{\´a}n and Wichmann, H.-Erich and Haak, Thomas and Boes, Eva and Coassin, Stefan and Coresh, Josef and Kollerits, Barbara and Haun, Margot and Paulweber, Bernhard and K{\"o}ttgen, Anna and Li, Guo and Shlipak, Michael G. and Powe, Neil and Hwang, Shih-Jen and Dehghan, Abbas and Rivadeneira, Fernando and Uitterlinden, Andr{\´e} and Hofman, Albert and Beckmann, Jacques S. and Kr{\"a}mer, Bernhard K. and Witteman, Jacqueline and Bochud, Murielle and Siscovick, David and Rettig, Rainer and Kronenberg, Florian and Wanner, Christoph and Thadhani, Ravi I. and Heid, Iris M. and Fox, Caroline S. and Kao, W.H.},
  title     = {Association of eGFR-Related Loci Identified by GWAS with Incident CKD and ESRD},
  series = {PLoS Genetics},
  volume    = {7},
  journal   = {PLoS Genetics},
  number    = {9},
  doi       = {10.1371/journal.pgen.1002292},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-133758},
  pages     = {e1002292},
  year      = {2011},
  abstract  = {Family studies suggest a genetic component to the etiology of chronic kidney disease (CKD) and end stage renal disease (ESRD). Previously, we identified 16 loci for eGFR in genome-wide association studies, but the associations of these single nucleotide polymorphisms (SNPs) for incident CKD or ESRD are unknown. We thus investigated the association of these loci with incident CKD in 26,308 individuals of European ancestry free of CKD at baseline drawn from eight population-based cohorts followed for a median of 7.2 years (including 2,122 incident CKD cases defined as eGFR < 60ml/min/1.73m(2) at follow-up) and with ESRD in four case-control studies in subjects of European ancestry (3,775 cases, 4,577 controls). SNPs at 11 of the 16 loci (UMOD, PRKAG2, ANXA9, DAB2, SHROOM3, DACH1, STC1, SLC34A1, ALMS1/NAT8, UBE2Q2, and GCKR) were associated with incident CKD; p-values ranged from p = 4.1e-9 in UMOD to p = 0.03 in GCKR. After adjusting for baseline eGFR, six of these loci remained significantly associated with incident CKD (UMOD, PRKAG2, ANXA9, DAB2, DACH1, and STC1). SNPs in UMOD (OR = 0.92, p = 0.04) and GCKR (OR = 0.93, p = 0.03) were nominally associated with ESRD. In summary, the majority of eGFR-related loci are either associated or show a strong trend towards association with incident CKD, but have modest associations with ESRD in individuals of European descent. Additional work is required to characterize the association of genetic determinants of CKD and ESRD at different stages of disease progression.},
  language  = {en}
}