@article {6585, title = {Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes.}, journal = {PLoS Genet}, volume = {10}, year = {2014}, month = {2014 Aug}, pages = {e1004517}, abstract = {

Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS) in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1) and two novel loci (HLA-B and INS-IGF2) at genome-wide significance (4.15 {\texttimes} 10(-94)}, keywords = {African Americans, Diabetes Mellitus, Type 2, Genome-Wide Association Study, HLA-B27 Antigen, HMGA2 Protein, Humans, KCNQ1 Potassium Channel, Mutant Chimeric Proteins, Polymorphism, Single Nucleotide, Transcription Factor 7-Like 2 Protein}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1004517}, author = {Ng, Maggie C Y and Shriner, Daniel and Chen, Brian H and Li, Jiang and Chen, Wei-Min and Guo, Xiuqing and Liu, Jiankang and Bielinski, Suzette J and Yanek, Lisa R and Nalls, Michael A and Comeau, Mary E and Rasmussen-Torvik, Laura J and Jensen, Richard A and Evans, Daniel S and Sun, Yan V and An, Ping and Patel, Sanjay R and Lu, Yingchang and Long, Jirong and Armstrong, Loren L and Wagenknecht, Lynne and Yang, Lingyao and Snively, Beverly M and Palmer, Nicholette D and Mudgal, Poorva and Langefeld, Carl D and Keene, Keith L and Freedman, Barry I and Mychaleckyj, Josyf C and Nayak, Uma and Raffel, Leslie J and Goodarzi, Mark O and Chen, Y-D Ida and Taylor, Herman A and Correa, Adolfo and Sims, Mario and Couper, David and Pankow, James S and Boerwinkle, Eric and Adeyemo, Adebowale and Doumatey, Ayo and Chen, Guanjie and Mathias, Rasika A and Vaidya, Dhananjay and Singleton, Andrew B and Zonderman, Alan B and Igo, Robert P and Sedor, John R and Kabagambe, Edmond K and Siscovick, David S and McKnight, Barbara and Rice, Kenneth and Liu, Yongmei and Hsueh, Wen-Chi and Zhao, Wei and Bielak, Lawrence F and Kraja, Aldi and Province, Michael A and Bottinger, Erwin P and Gottesman, Omri and Cai, Qiuyin and Zheng, Wei and Blot, William J and Lowe, William L and Pacheco, Jennifer A and Crawford, Dana C and Grundberg, Elin and Rich, Stephen S and Hayes, M Geoffrey and Shu, Xiao-Ou and Loos, Ruth J F and Borecki, Ingrid B and Peyser, Patricia A and Cummings, Steven R and Psaty, Bruce M and Fornage, Myriam and Iyengar, Sudha K and Evans, Michele K and Becker, Diane M and Kao, W H Linda and Wilson, James G and Rotter, Jerome I and Sale, Mich{\`e}le M and Liu, Simin and Rotimi, Charles N and Bowden, Donald W} } @article {7990, title = {Multiethnic Genome-Wide Association Study of Diabetic Retinopathy Using Liability Threshold Modeling of Duration of Diabetes and Glycemic Control.}, journal = {Diabetes}, volume = {68}, year = {2019}, month = {2019 Feb}, pages = {441-456}, abstract = {

To identify genetic variants associated with diabetic retinopathy (DR), we performed a large multiethnic genome-wide association study. Discovery included eight European cohorts ( = 3,246) and seven African American cohorts ( = 2,611). We meta-analyzed across cohorts using inverse-variance weighting, with and without liability threshold modeling of glycemic control and duration of diabetes. Variants with a value <1 {\texttimes} 10 were investigated in replication cohorts that included 18,545 European, 16,453 Asian, and 2,710 Hispanic subjects. After correction for multiple testing, the C allele of rs142293996 in an intron of nuclear VCP-like () was associated with DR in European discovery cohorts ( = 2.1 {\texttimes} 10), but did not reach genome-wide significance after meta-analysis with replication cohorts. We applied the Disease Association Protein-Protein Link Evaluator (DAPPLE) to our discovery results to test for evidence of risk being spread across underlying molecular pathways. One protein-protein interaction network built from genes in regions associated with proliferative DR was found to have significant connectivity ( = 0.0009) and corroborated with gene set enrichment analyses. These findings suggest that genetic variation in as well as variation within a protein-protein interaction network that includes genes implicated in inflammation, may influence risk for DR.

}, issn = {1939-327X}, doi = {10.2337/db18-0567}, author = {Pollack, Samuela and Igo, Robert P and Jensen, Richard A and Christiansen, Mark and Li, Xiaohui and Cheng, Ching-Yu and Ng, Maggie C Y and Smith, Albert V and Rossin, Elizabeth J and Segr{\`e}, Ayellet V and Davoudi, Samaneh and Tan, Gavin S and Chen, Yii-Der Ida and Kuo, Jane Z and Dimitrov, Latchezar M and Stanwyck, Lynn K and Meng, Weihua and Hosseini, S Mohsen and Imamura, Minako and Nousome, Darryl and Kim, Jihye and Hai, Yang and Jia, Yucheng and Ahn, Jeeyun and Leong, Aaron and Shah, Kaanan and Park, Kyu Hyung and Guo, Xiuqing and Ipp, Eli and Taylor, Kent D and Adler, Sharon G and Sedor, John R and Freedman, Barry I and Lee, I-Te and Sheu, Wayne H-H and Kubo, Michiaki and Takahashi, Atsushi and Hadjadj, Samy and Marre, Michel and Tr{\'e}gou{\"e}t, David-Alexandre and McKean-Cowdin, Roberta and Varma, Rohit and McCarthy, Mark I and Groop, Leif and Ahlqvist, Emma and Lyssenko, Valeriya and Agardh, Elisabet and Morris, Andrew and Doney, Alex S F and Colhoun, Helen M and Toppila, Iiro and Sandholm, Niina and Groop, Per-Henrik and Maeda, Shiro and Hanis, Craig L and Penman, Alan and Chen, Ching J and Hancock, Heather and Mitchell, Paul and Craig, Jamie E and Chew, Emily Y and Paterson, Andrew D and Grassi, Michael A and Palmer, Colin and Bowden, Donald W and Yaspan, Brian L and Siscovick, David and Cotch, Mary Frances and Wang, Jie Jin and Burdon, Kathryn P and Wong, Tien Y and Klein, Barbara E K and Klein, Ronald and Rotter, Jerome I and Iyengar, Sudha K and Price, Alkes L and Sobrin, Lucia} } @article {9254, title = {Multi-Scalar Data Integration Links Glomerular Angiopoietin-Tie Signaling Pathway Activation With Progression of Diabetic Kidney Disease.}, journal = {Diabetes}, volume = {71}, year = {2022}, month = {2022 Dec 01}, pages = {2664-2676}, abstract = {

Diabetic kidney disease (DKD) is the leading cause of end-stage kidney disease (ESKD). Prognostic biomarkers reflective of underlying molecular mechanisms are critically needed for effective management of DKD. A three-marker panel was derived from a proteomics analysis of plasma samples by an unbiased machine learning approach from participants (N = 58) in the Clinical Phenotyping and Resource Biobank study. In combination with standard clinical parameters, this panel improved prediction of the composite outcome of ESKD or a 40\% decline in glomerular filtration rate. The panel was validated in an independent group (N = 68), who also had kidney transcriptomic profiles. One marker, plasma angiopoietin 2 (ANGPT2), was significantly associated with outcomes in cohorts from the Cardiovascular Health Study (N = 3,183) and the Chinese Cohort Study of Chronic Kidney Disease (N = 210). Glomerular transcriptional angiopoietin/Tie (ANG-TIE) pathway scores, derived from the expression of 154 ANG-TIE signaling mediators, correlated positively with plasma ANGPT2 levels and kidney outcomes. Higher receptor expression in glomeruli and higher ANG-TIE pathway scores in endothelial cells corroborated potential functional effects in the kidney from elevated plasma ANGPT2 levels. Our work suggests that ANGPT2 is a promising prognostic endothelial biomarker with likely functional impact on glomerular pathogenesis in DKD.

}, keywords = {Angiopoietin-1, Angiopoietin-2, Angiopoietins, Biomarkers, Cohort Studies, Diabetes Mellitus, Diabetic Nephropathies, Disease Progression, Endothelial Cells, Humans, Kidney Failure, Chronic, Receptor, TIE-2, Signal Transduction}, issn = {1939-327X}, doi = {10.2337/db22-0169}, author = {Liu, Jiahao and Nair, Viji and Zhao, Yi-Yang and Chang, Dong-Yuan and Limonte, Christine and Bansal, Nisha and Fermin, Damian and Eichinger, Felix and Tanner, Emily C and Bellovich, Keith A and Steigerwalt, Susan and Bhat, Zeenat and Hawkins, Jennifer J and Subramanian, Lalita and Rosas, Sylvia E and Sedor, John R and Vasquez, Miguel A and Waikar, Sushrut S and Bitzer, Markus and Pennathur, Subramaniam and Brosius, Frank C and de Boer, Ian and Chen, Min and Kretzler, Matthias and Ju, Wenjun} }