TY - JOUR
T1 - Leveraging cross-species transcription factor binding site patterns
T2 - from diabetes risk loci to disease mechanisms
AU - Claussnitzer, Melina
AU - Dankel, Simon N.
AU - Klocke, Bernward
AU - Grallert, Harald
AU - Glunk, Viktoria
AU - Berulava, Tea
AU - Lee, Heekyoung
AU - Oskolkov, Nikolay
AU - Fadista, Joao
AU - Ehlers, Kerstin
AU - Wahl, Simone
AU - Hoffmann, Christoph
AU - Qian, Kun
AU - Rönn, Tina
AU - Riess, Helene
AU - Müller-Nurasyid, Martina
AU - Bretschneider, Nancy
AU - Schroeder, Timm
AU - Skurk, Thomas
AU - Horsthemke, Bernhard
AU - DIAGRAM+Consortium
AU - Spieler, Derek
AU - Klingenspor, Martin
AU - Seifert, Martin
AU - Kern, Michael J.
AU - Mejhert, Niklas
AU - Dahlman, Ingrid
AU - Hansson, Ola
AU - Hauck, Stefanie M.
AU - Blüher, Matthias
AU - Arner, Peter
AU - Groop, Leif
AU - Illig, Thomas
AU - Suhre, Karsten
AU - Hsu, Yi-Hsiang
AU - Mellgren, Gunnar
AU - Hauner, Hans
AU - Laumen, Helmut
AU - Palmer, Colin Neil Alexander
N1 - Copyright © 2014 Elsevier Inc. All rights reserved.
PY - 2014/1/16
Y1 - 2014/1/16
N2 - Genome-wide association studies have revealed numerous risk loci associated with diverse diseases. However, identification of disease-causing variants within association loci remains a major challenge. Divergence in gene expression due to cis-regulatory variants in noncoding regions is central to disease susceptibility. We show that integrative computational analysis of phylogenetic conservation with a complexity assessment of co-occurring transcription factor binding sites (TFBS) can identify cis-regulatory variants and elucidate their mechanistic role in disease. Analysis of established type 2 diabetes risk loci revealed a striking clustering of distinct homeobox TFBS. We identified the PRRX1 homeobox factor as a repressor of PPARG2 expression in adipose cells and demonstrate its adverse effect on lipid metabolism and systemic insulin sensitivity, dependent on the rs4684847 risk allele that triggers PRRX1 binding. Thus, cross-species conservation analysis at the level of co-occurring TFBS provides a valuable contribution to the translation of genetic association signals to disease-related molecular mechanisms.
AB - Genome-wide association studies have revealed numerous risk loci associated with diverse diseases. However, identification of disease-causing variants within association loci remains a major challenge. Divergence in gene expression due to cis-regulatory variants in noncoding regions is central to disease susceptibility. We show that integrative computational analysis of phylogenetic conservation with a complexity assessment of co-occurring transcription factor binding sites (TFBS) can identify cis-regulatory variants and elucidate their mechanistic role in disease. Analysis of established type 2 diabetes risk loci revealed a striking clustering of distinct homeobox TFBS. We identified the PRRX1 homeobox factor as a repressor of PPARG2 expression in adipose cells and demonstrate its adverse effect on lipid metabolism and systemic insulin sensitivity, dependent on the rs4684847 risk allele that triggers PRRX1 binding. Thus, cross-species conservation analysis at the level of co-occurring TFBS provides a valuable contribution to the translation of genetic association signals to disease-related molecular mechanisms.
KW - Animals
KW - Cell Line
KW - Cells, Cultured
KW - Conserved Sequence
KW - Diabetes Mellitus, Type 2
KW - Gene Expression Regulation
KW - Genome-Wide Association Study
KW - Homeodomain Proteins
KW - Humans
KW - Insulin Resistance
KW - PPAR gamma
KW - Polymorphism, Single Nucleotide
KW - Regulatory Sequences, Nucleic Acid
KW - Transcription Factors
U2 - 10.1016/j.cell.2013.10.058
DO - 10.1016/j.cell.2013.10.058
M3 - Article
C2 - 24439387
SN - 0092-8674
VL - 156
SP - 343
EP - 358
JO - Cell
JF - Cell
IS - 1-2
ER -