167 results on '"Josyf C Mychaleckyj"'
Search Results
2. Associations of autozygosity with a broad range of human phenotypes
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David W Clark, Yukinori Okada, Kristjan H S Moore, Dan Mason, Nicola Pirastu, Ilaria Gandin, Hannele Mattsson, Catriona L K Barnes, Kuang Lin, Jing Hua Zhao, Patrick Deelen, Rebecca Rohde, Claudia Schurmann, Xiuqing Guo, Franco Giulianini, Weihua Zhang, Carolina Medina-Gomez, Robert Karlsson, Yanchun Bao, Traci M Bartz, Clemens Baumbach, Ginevra Biino, Matthew J Bixley, Marco Brumat, Jin-Fang Chai, Tanguy Corre, Diana L Cousminer, Annelot M Dekker, David A Eccles, Kristel R van Eijk, Christian Fuchsberger, He Gao, Marine Germain, Scott D Gordon, Hugoline G de Haan, Sarah E Harris, Edith Hofer, Alicia Huerta-Chagoya, Catherine Igartua, Iris E Jansen, Yucheng Jia, Tim Kacprowski, Torgny Karlsson, Marcus E Kleber, Shengchao Alfred Li, Ruifang Li-Gao, Anubha Mahajan, Koichi Matsuda, Karina Meidtner, Weihua Meng, May E Montasser, Peter J van der Most, Matthias Munz, Teresa Nutile, Teemu Palviainen, Gauri Prasad, Rashmi B Prasad, Tallapragada Divya Sri Priyanka, Federica Rizzi, Erika Salvi, Bishwa R Sapkota, Daniel Shriner, Line Skotte, Melissa C Smart, Albert Vernon Smith, Ashley van der Spek, Cassandra N Spracklen, Rona J Strawbridge, Salman M Tajuddin, Stella Trompet, Constance Turman, Niek Verweij, Clara Viberti, Lihua Wang, Helen R Warren, Robyn E Wootton, Lisa R Yanek, Jie Yao, Noha A Yousri, Wei Zhao, Adebowale A Adeyemo, Saima Afaq, Carlos Alberto Aguilar-Salinas, Masato Akiyama, Matthew L Albert, Matthew A Allison, Maris Alver, Tin Aung, Fereidoun Azizi, Amy R Bentley, Heiner Boeing, Eric Boerwinkle, Judith B Borja, Gert J de Borst, Erwin P Bottinger, Linda Broer, Harry Campbell, Stephen Chanock, Miao-Li Chee, Guanjie Chen, Yii-Der I Chen, Zhengming Chen, Yen-Feng Chiu, Massimiliano Cocca, Francis S Collins, Maria Pina Concas, Janie Corley, Giovanni Cugliari, Rob M van Dam, Anna Damulina, Maryam S Daneshpour, Felix R Day, Graciela E Delgado, Klodian Dhana, Alexander S F Doney, Marcus Dörr, Ayo P Doumatey, Nduna Dzimiri, S Sunna Ebenesersdóttir, Joshua Elliott, Paul Elliott, Ralf Ewert, Janine F Felix, Krista Fischer, Barry I Freedman, Giorgia Girotto, Anuj Goel, Martin Gögele, Mark O Goodarzi, Mariaelisa Graff, Einat Granot-Hershkovitz, Francine Grodstein, Simonetta Guarrera, Daniel F Gudbjartsson, Kamran Guity, Bjarni Gunnarsson, Yu Guo, Saskia P Hagenaars, Christopher A Haiman, Avner Halevy, Tamara B Harris, Mehdi Hedayati, David A van Heel, Makoto Hirata, Imo Höfer, Chao Agnes Hsiung, Jinyan Huang, Yi-Jen Hung, M Arfan Ikram, Anuradha Jagadeesan, Pekka Jousilahti, Yoichiro Kamatani, Masahiro Kanai, Nicola D Kerrison, Thorsten Kessler, Kay-Tee Khaw, Chiea Chuen Khor, Dominique P V de Kleijn, Woon-Puay Koh, Ivana Kolcic, Peter Kraft, Bernhard K Krämer, Zoltán Kutalik, Johanna Kuusisto, Claudia Langenberg, Lenore J Launer, Deborah A Lawlor, I-Te Lee, Wen-Jane Lee, Markus M Lerch, Liming Li, Jianjun Liu, Marie Loh, Stephanie J London, Stephanie Loomis, Yingchang Lu, Jian’an Luan, Reedik Mägi, Ani W Manichaikul, Paolo Manunta, Gísli Másson, Nana Matoba, Xue W Mei, Christa Meisinger, Thomas Meitinger, Massimo Mezzavilla, Lili Milani, Iona Y Millwood, Yukihide Momozawa, Amy Moore, Pierre-Emmanuel Morange, Hortensia Moreno-Macías, Trevor A Mori, Alanna C Morrison, Taulant Muka, Yoshinori Murakami, Alison D Murray, Renée de Mutsert, Josyf C Mychaleckyj, Mike A Nalls, Matthias Nauck, Matt J Neville, Ilja M Nolte, Ken K Ong, Lorena Orozco, Sandosh Padmanabhan, Gunnar Pálsson, James S Pankow, Cristian Pattaro, Alison Pattie, Ozren Polasek, Neil Poulter, Peter P Pramstaller, Lluis Quintana-Murci, Katri Räikkönen, Sarju Ralhan, Dabeeru C Rao, Wouter van Rheenen, Stephen S Rich, Paul M Ridker, Cornelius A Rietveld, Antonietta Robino, Frank J A van Rooij, Daniela Ruggiero, Yasaman Saba, Charumathi Sabanayagam, Maria Sabater-Lleal, Cinzia Felicita Sala, Veikko Salomaa, Kevin Sandow, Helena Schmidt, Laura J Scott, William R Scott, Bahareh Sedaghati-Khayat, Bengt Sennblad, Jessica van Setten, Peter J Sever, Wayne H-H Sheu, Yuan Shi, Smeeta Shrestha, Sharvari Rahul Shukla, Jon K Sigurdsson, Timo Tonis Sikka, Jai Rup Singh, Blair H Smith, Alena Stančáková, Alice Stanton, John M Starr, Lilja Stefansdottir, Leon Straker, Patrick Sulem, Gardar Sveinbjornsson, Morris A Swertz, Adele M Taylor, Kent D Taylor, Natalie Terzikhan, Yih-Chung Tham, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Annika Tillander, Russell P Tracy, Teresa Tusié-Luna, Ioanna Tzoulaki, Simona Vaccargiu, Jagadish Vangipurapu, Jan H Veldink, Veronique Vitart, Uwe Völker, Eero Vuoksimaa, Salma M Wakil, Melanie Waldenberger, Gurpreet S Wander, Ya Xing Wang, Nicholas J Wareham, Sarah Wild, Chittaranjan S Yajnik, Jian-Min Yuan, Lingyao Zeng, Liang Zhang, Jie Zhou, Najaf Amin, Folkert W Asselbergs, Stephan J L Bakker, Diane M Becker, Benjamin Lehne, David A Bennett, Leonard H van den Berg, Sonja I Berndt, Dwaipayan Bharadwaj, Lawrence F Bielak, Murielle Bochud, Mike Boehnke, Claude Bouchard, Jonathan P Bradfield, Jennifer A Brody, Archie Campbell, Shai Carmi, Mark J Caulfield, David Cesarini, John C Chambers, Giriraj Ratan Chandak, Ching-Yu Cheng, Marina Ciullo, Marilyn Cornelis, Daniele Cusi, George Davey Smith, Ian J Deary, Rajkumar Dorajoo, Cornelia M van Duijn, David Ellinghaus, Jeanette Erdmann, Johan G Eriksson, Evangelos Evangelou, Michele K Evans, Jessica D Faul, Bjarke Feenstra, Mary Feitosa, Sylvain Foisy, Andre Franke, Yechiel Friedlander, Paolo Gasparini, Christian Gieger, Clicerio Gonzalez, Philippe Goyette, Struan F A Grant, Lyn R Griffiths, Leif Groop, Vilmundur Gudnason, Ulf Gyllensten, Hakon Hakonarson, Anders Hamsten, Pim van der Harst, Chew-Kiat Heng, Andrew A Hicks, Hagit Hochner, Heikki Huikuri, Steven C Hunt, Vincent W V Jaddoe, Philip L De Jager, Magnus Johannesson, Åsa Johansson, Jost B Jonas, J Wouter Jukema, Juhani Junttila, Jaakko Kaprio, Sharon L. R. Kardia, Fredrik Karpe, Meena Kumari, Markku Laakso, Sander W van der Laan, Jari Lahti, Matthias Laudes, Rodney A Lea, Wolfgang Lieb, Thomas Lumley, Nicholas G Martin, Winfried März, Giuseppe Matullo, Mark I McCarthy, Sarah E Medland, Tony R Merriman, Andres Metspalu, Brian F Meyer, Karen L Mohlke, Grant W Montgomery, Dennis Mook-Kanamori, Patricia B Munroe, Kari E North, Dale R Nyholt, Jeffery R O’connell, Carole Ober, Albertine J Oldehinkel, Walter Palmas, Colin Palmer, Gerard G Pasterkamp, Etienne Patin, Craig E Pennell, Louis Perusse, Patricia A Peyser, Mario Pirastu, Tinca J. C. Polderman, David J Porteous, Danielle Posthuma, Bruce M Psaty, John D Rioux, Fernando Rivadeneira, Charles Rotimi, Jerome I Rotter, Igor Rudan, Hester M Den Ruijter, Dharambir K Sanghera, Naveed Sattar, Reinhold Schmidt, Matthias B Schulze, Heribert Schunkert, Robert A Scott, Alan R Shuldiner, Xueling Sim, Neil Small, Jennifer A Smith, Nona Sotoodehnia, E-Shyong Tai, Alexander Teumer, Nicholas J Timpson, Daniela Toniolo, David-Alexandre Tregouet, Tiinamaija Tuomi, Peter Vollenweider, Carol A Wang, David R Weir, John B Whitfield, Cisca Wijmenga, Tien-Yin Wong, John Wright, Jingyun Yang, Lei Yu, Babette S Zemel, Alan B Zonderman, Markus Perola, Patrik K. E. Magnusson, André G Uitterlinden, Jaspal S Kooner, Daniel I Chasman, Ruth J. F. Loos, Nora Franceschini, Lude Franke, Chris S Haley, Caroline Hayward, Robin G Walters, John R. B. Perry, Tōnu Esko, Agnar Helgason, Kari Stefansson, Peter K Joshi, Michiaki Kubo, and James F Wilson
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Science - Abstract
Inbreeding depression has been observed in many different species, but in humans a systematic analysis has been difficult so far. Here, analysing more than 1.3 million individuals, the authors show that a genomic inbreeding coefficient (FROH) is associated with disadvantageous outcomes in 32 out of 100 traits tested.
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- 2019
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3. Whole genome sequence analyses of eGFR in 23,732 people representing multiple ancestries in the NHLBI trans-omics for precision medicine (TOPMed) consortium
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Bridget M Lin, Kelsey E Grinde, Jennifer A Brody, Charles E Breeze, Laura M Raffield, Josyf C Mychaleckyj, Timothy A Thornton, James A Perry, Leslie J Baier, Lisa de las Fuentes, Xiuqing Guo, Benjamin D Heavner, Robert L Hanson, Yi-Jen Hung, Huijun Qian, Chao A Hsiung, Shih-Jen Hwang, Margaret R Irvin, Deepti Jain, Tanika N Kelly, Sayuko Kobes, Leslie Lange, James P Lash, Yun Li, Xiaoming Liu, Xuenan Mi, Solomon K Musani, George J Papanicolaou, Afshin Parsa, Alex P Reiner, Shabnam Salimi, Wayne H-H Sheu, Alan R Shuldiner, Kent D Taylor, Albert V Smith, Jennifer A Smith, Adrienne Tin, Dhananjay Vaidya, Robert B Wallace, Kenichi Yamamoto, Saori Sakaue, Koichi Matsuda, Yoichiro Kamatani, Yukihide Momozawa, Lisa R Yanek, Betsi A Young, Wei Zhao, Yukinori Okada, Gonzalo Abecasis, Bruce M Psaty, Donna K Arnett, Eric Boerwinkle, Jianwen Cai, Ida Yii-Der Chen, Adolfo Correa, L Adrienne Cupples, Jiang He, Sharon LR Kardia, Charles Kooperberg, Rasika A Mathias, Braxton D Mitchell, Deborah A Nickerson, Steve T Turner, Vasan S Ramachandran, Jerome I Rotter, Daniel Levy, Holly J Kramer, Anna Köttgen, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Kidney Working Group, Stephen S Rich, Dan-Yu Lin, Sharon R Browning, and Nora Franceschini
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Whole genome sequencing ,Kidney traits ,Rare variants ,Ancestry-specific variants ,Medicine ,Medicine (General) ,R5-920 - Abstract
Background: Genetic factors that influence kidney traits have been understudied for low frequency and ancestry-specific variants. Methods: We combined whole genome sequencing (WGS) data from 23,732 participants from 10 NHLBI Trans-Omics for Precision Medicine (TOPMed) Program multi-ethnic studies to identify novel loci for estimated glomerular filtration rate (eGFR). Participants included European, African, East Asian, and Hispanic ancestries. We applied linear mixed models using a genetic relationship matrix estimated from the WGS data and adjusted for age, sex, study, and ethnicity. Findings: When testing single variants, we identified three novel loci driven by low frequency variants more commonly observed in non-European ancestry (PRKAA2, rs180996919, minor allele frequency [MAF] 0.04%, P = 6.1 × 10−11; METTL8, rs116951054, MAF 0.09%, P = 4.5 × 10−9; and MATK, rs539182790, MAF 0.05%, P = 3.4 × 10−9). We also replicated two known loci for common variants (rs2461702, MAF=0.49, P = 1.2 × 10−9, nearest gene GATM, and rs71147340, MAF=0.34, P = 3.3 × 10−9, CDK12). Testing aggregated variants within a gene identified the MAF gene. A statistical approach based on local ancestry helped to identify replication samples for ancestry-specific variants. Interpretation: This study highlights challenges in studying variants influencing kidney traits that are low frequency in populations and more common in non-European ancestry.
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- 2021
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4. A methylation risk score for chronic kidney disease: a HyperGEN study
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Alana C. Jones, Amit Patki, Vinodh Srinivasasainagendra, Bertha A. Hidalgo, Hemant K. Tiwari, Nita A. Limdi, Nicole D. Armstrong, Ninad S. Chaudhary, Bré Minniefield, Devin Absher, Donna K. Arnett, Leslie A. Lange, Ethan M. Lange, Bessie A. Young, Clarissa J. Diamantidis, Stephen S. Rich, Josyf C. Mychaleckyj, Jerome I. Rotter, Kent D. Taylor, Holly J. Kramer, Russell P. Tracy, Peter Durda, Silva Kasela, Tuuli Lappalinen, Yongmei Liu, W. Craig Johnson, David J. Van Den Berg, Nora Franceschini, Simin Liu, Charles P. Mouton, Parveen Bhatti, Steve Horvath, Eric A. Whitsel, and Marguerite R. Irvin
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Chronic kidney disease ,eGFR ,Methylation risk score ,Epigenetics ,Medicine ,Science - Abstract
Abstract Chronic kidney disease (CKD) impacts about 1 in 7 adults in the United States, but African Americans (AAs) carry a disproportionately higher burden of disease. Epigenetic modifications, such as DNA methylation at cytosine-phosphate-guanine (CpG) sites, have been linked to kidney function and may have clinical utility in predicting the risk of CKD. Given the dynamic relationship between the epigenome, environment, and disease, AAs may be especially sensitive to environment-driven methylation alterations. Moreover, risk models incorporating CpG methylation have been shown to predict disease across multiple racial groups. In this study, we developed a methylation risk score (MRS) for CKD in cohorts of AAs. We selected nine CpG sites that were previously reported to be associated with estimated glomerular filtration rate (eGFR) in epigenome-wide association studies to construct a MRS in the Hypertension Genetic Epidemiology Network (HyperGEN). In logistic mixed models, the MRS was significantly associated with prevalent CKD and was robust to multiple sensitivity analyses, including CKD risk factors. There was modest replication in validation cohorts. In summary, we demonstrated that an eGFR-based CpG score is an independent predictor of prevalent CKD, suggesting that MRS should be further investigated for clinical utility in evaluating CKD risk and progression.
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- 2024
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5. Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes.
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Maggie C Y Ng, Daniel Shriner, Brian H Chen, Jiang Li, Wei-Min Chen, Xiuqing Guo, Jiankang Liu, Suzette J Bielinski, Lisa R Yanek, Michael A Nalls, Mary E Comeau, Laura J Rasmussen-Torvik, Richard A Jensen, Daniel S Evans, Yan V Sun, Ping An, Sanjay R Patel, Yingchang Lu, Jirong Long, Loren L Armstrong, Lynne Wagenknecht, Lingyao Yang, Beverly M Snively, Nicholette D Palmer, Poorva Mudgal, Carl D Langefeld, Keith L Keene, Barry I Freedman, Josyf C Mychaleckyj, Uma Nayak, Leslie J Raffel, Mark O Goodarzi, Y-D Ida Chen, Herman A Taylor, Adolfo Correa, Mario Sims, David Couper, James S Pankow, Eric Boerwinkle, Adebowale Adeyemo, Ayo Doumatey, Guanjie Chen, Rasika A Mathias, Dhananjay Vaidya, Andrew B Singleton, Alan B Zonderman, Robert P Igo, John R Sedor, FIND Consortium, Edmond K Kabagambe, David S Siscovick, Barbara McKnight, Kenneth Rice, Yongmei Liu, Wen-Chi Hsueh, Wei Zhao, Lawrence F Bielak, Aldi Kraja, Michael A Province, Erwin P Bottinger, Omri Gottesman, Qiuyin Cai, Wei Zheng, William J Blot, William L Lowe, Jennifer A Pacheco, Dana C Crawford, eMERGE Consortium, DIAGRAM Consortium, Elin Grundberg, MuTHER Consortium, Stephen S Rich, M Geoffrey Hayes, Xiao-Ou Shu, Ruth J F Loos, Ingrid B Borecki, Patricia A Peyser, Steven R Cummings, Bruce M Psaty, Myriam Fornage, Sudha K Iyengar, Michele K Evans, Diane M Becker, W H Linda Kao, James G Wilson, Jerome I Rotter, Michèle M Sale, Simin Liu, Charles N Rotimi, Donald W Bowden, and MEta-analysis of type 2 DIabetes in African Americans Consortium
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Genetics ,QH426-470 - 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 × 10(-94)
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- 2014
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6. Genetic associations with plasma B12, B6, and folate levels in an ischemic stroke population from the Vitamin Intervention for Stroke Prevention (VISP) trial
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Keith L Keene, Wei-Min eChen, Fang eChen, Stephen Richardson Williams, Stacey D Elkhatib, Fang-Chi eHsu, Josyf C Mychaleckyj, Kimberley F Doheny, Elizabeth W Pugh, Hua eLing, Cathy C Laurie, Stephanie M Gogarten, Ebony B Madden, Bradford B Worrall, and Michele M Sale
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GWAS ,Association ,Folate ,B12 ,VISP ,one carbon metabolism ,Public aspects of medicine ,RA1-1270 - Abstract
B vitamins play an important role in homocysteine metabolism, with vitamin deficiencies resulting in increased levels of homocysteine and increased risk for stroke. We performed a genome-wide association study (GWAS) in 2,100 stroke patients from the Vitamin Intervention for Stroke Prevention (VISP) trial, a clinical trial designed to determine whether the daily intake of high dose folic acid, vitamins B6 and B12 reduce recurrent cerebral infarction. Extensive quality control (QC) measures resulted in a total of 737,081 SNPs for analysis. Genome-wide association analyses for baseline quantitative measures of folate, Vitamins B12 and B6 were completed using linear regression approaches, implemented in PLINK. Six associations met or exceeded genome wide significance (P≤5x10-08). For baseline Vitamin B12, the strongest association was observed with a non-synonymous SNP (nsSNP) located in the CUBN gene (P=1.76×10-13). Two additional CUBN intronic SNPs demonstrated strong associations with B12 (P= 2.92×10-10 and 4.11×10-10), while a second nsSNP, located in the TCN1 gene, also reached genome-wide significance (P= 5.148×10-11). For baseline measures of Vitamin B6, we identified genome-wide significant associations for SNPs at the ALPL locus (rs1697421; P= 7.06×10-10 and rs1780316; P= 2.25×10-08). In addition to the six genome-wide significant associations, nine SNPs (two for Vitamin B6, six for Vitamin B12, and one for folate measures) provided suggestive evidence for association (P≤10-07). Our GWAS study has identified six genome-wide significant associations, nine suggestive associations, and successfully replicated five of 16 SNPs previously reported to be associated with measures of B vitamins. The six genome-wide significant associations are located in gene regions that have shown previous associations with measures of B vitamins, however four of the nine suggestive associations represent novel finding and warrant further investigation in additional populations.
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- 2014
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7. An Epigenome-Wide Association Study of DNA Methylation and Proliferative Retinopathy over 28 Years in Type 1 Diabetes
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Rachel G. Miller, PhD, Josyf C. Mychaleckyj, DPhil, Suna Onengut-Gumuscu, PhD, Trevor J. Orchard, MD, MMedSci, and Tina Costacou, PhD
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DNA methylation ,Epigenetics ,Proliferative diabetic retinopathy ,Retina ,Type 1 diabetes ,Ophthalmology ,RE1-994 - Abstract
Purpose: To perform a prospective epigenome-wide association study of DNA methylation (DNAm) and 28-year proliferative diabetic retinopathy (PDR) incidence in type 1 diabetes (T1D). Design: Prospective observational cohort study. Participants: The Pittsburgh Epidemiology of Diabetes Complications (EDC) study of childhood-onset (< 17 years) T1D. Methods: Stereoscopic fundus photographs were taken in fields 1, 2, and 4 at baseline, 2, 4, 6, 8, 16, 23, and 28 years after DNAm measurements. The photos were graded using the modified Airlie House System. In those free of PDR at baseline (n = 265; mean T1D duration of 18 years at baseline), whole blood DNAm (EPIC array) at 683 597 CpGs was analyzed in Cox models for time to event. Associations between significant CpGs and clinical risk factors were assessed; genetic variants associated with DNAm were identified (methylation quantitative trait loci [meQTLs]). Mendelian randomization was used to examine evidence of causal associations between DNAm and PDR. Post hoc regional and functional analyses were performed. Main Outcome Measures: Proliferative diabetic retinopathy was defined as the first instance of a grade of ≥ 60 in at least 1 eye or pan-retinal photocoagulation for PDR. Follow-up time was calculated from the study visit at which DNAm data were available (baseline) until PDR incidence or censoring (December 31, 2018 or last follow-up). Results: PDR incidence was 53% over 28-years’ follow-up. Greater DNAm of cg27512687 (KIF16B) was associated with reduced PDR incidence (P = 6.3 × 10−9; false discovery rate [FDR]: < 0.01); 113 cis-meQTLs (P
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- 2024
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8. X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements
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Markus Scholz, Katrin Horn, Janne Pott, Matthias Wuttke, Andreas Kühnapfel, M. Kamal Nasr, Holger Kirsten, Yong Li, Anselm Hoppmann, Mathias Gorski, Sahar Ghasemi, Man Li, Adrienne Tin, Jin-Fang Chai, Massimiliano Cocca, Judy Wang, Teresa Nutile, Masato Akiyama, Bjørn Olav Åsvold, Nisha Bansal, Mary L. Biggs, Thibaud Boutin, Hermann Brenner, Ben Brumpton, Ralph Burkhardt, Jianwen Cai, Archie Campbell, Harry Campbell, John Chalmers, Daniel I. Chasman, Miao Ling Chee, Miao Li Chee, Xu Chen, Ching-Yu Cheng, Renata Cifkova, Martha Daviglus, Graciela Delgado, Katalin Dittrich, Todd L. Edwards, Karlhans Endlich, J. Michael Gaziano, Ayush Giri, Franco Giulianini, Scott D. Gordon, Daniel F. Gudbjartsson, Stein Hallan, Pavel Hamet, Catharina A. Hartman, Caroline Hayward, Iris M. Heid, Jacklyn N. Hellwege, Bernd Holleczek, Hilma Holm, Nina Hutri-Kähönen, Kristian Hveem, Berend Isermann, Jost B. Jonas, Peter K. Joshi, Yoichiro Kamatani, Masahiro Kanai, Mika Kastarinen, Chiea Chuen Khor, Wieland Kiess, Marcus E. Kleber, Antje Körner, Peter Kovacs, Alena Krajcoviechova, Holly Kramer, Bernhard K. Krämer, Mikko Kuokkanen, Mika Kähönen, Leslie A. Lange, James P. Lash, Terho Lehtimäki, Hengtong Li, Bridget M. Lin, Jianjun Liu, Markus Loeffler, Leo-Pekka Lyytikäinen, Patrik K. E. Magnusson, Nicholas G. Martin, Koichi Matsuda, Yuri Milaneschi, Pashupati P. Mishra, Nina Mononen, Grant W. Montgomery, Dennis O. Mook-Kanamori, Josyf C. Mychaleckyj, Winfried März, Matthias Nauck, Kjell Nikus, Ilja M. Nolte, Raymond Noordam, Yukinori Okada, Isleifur Olafsson, Albertine J. Oldehinkel, Brenda W. J. H. Penninx, Markus Perola, Nicola Pirastu, Ozren Polasek, David J. Porteous, Tanja Poulain, Bruce M. Psaty, Ton J. Rabelink, Laura M. Raffield, Olli T. Raitakari, Humaira Rasheed, Dermot F. Reilly, Kenneth M. Rice, Anne Richmond, Paul M. Ridker, Jerome I. Rotter, Igor Rudan, Charumathi Sabanayagam, Veikko Salomaa, Neil Schneiderman, Ben Schöttker, Mario Sims, Harold Snieder, Klaus J. Stark, Kari Stefansson, Hannah Stocker, Michael Stumvoll, Patrick Sulem, Gardar Sveinbjornsson, Per O. Svensson, E-Shyong Tai, Kent D. Taylor, Bamidele O. Tayo, Andrej Teren, Yih-Chung Tham, Joachim Thiery, Chris H. L. Thio, Laurent F. Thomas, Johanne Tremblay, Anke Tönjes, Peter J. van der Most, Veronique Vitart, Uwe Völker, Ya Xing Wang, Chaolong Wang, Wen Bin Wei, John B. Whitfield, Sarah H. Wild, James F. Wilson, Thomas W. Winkler, Tien-Yin Wong, Mark Woodward, Xueling Sim, Audrey Y. Chu, Mary F. Feitosa, Unnur Thorsteinsdottir, Adriana M. Hung, Alexander Teumer, Nora Franceschini, Afshin Parsa, Anna Köttgen, Pascal Schlosser, and Cristian Pattaro
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Science - Abstract
Abstract X-chromosomal genetic variants are understudied but can yield valuable insights into sexually dimorphic human traits and diseases. We performed a sex-stratified cross-ancestry X-chromosome-wide association meta-analysis of seven kidney-related traits (n = 908,697), identifying 23 loci genome-wide significantly associated with two of the traits: 7 for uric acid and 16 for estimated glomerular filtration rate (eGFR), including four novel eGFR loci containing the functionally plausible prioritized genes ACSL4, CLDN2, TSPAN6 and the female-specific DRP2. Further, we identified five novel sex-interactions, comprising male-specific effects at FAM9B and AR/EDA2R, and three sex-differential findings with larger genetic effect sizes in males at DCAF12L1 and MST4 and larger effect sizes in females at HPRT1. All prioritized genes in loci showing significant sex-interactions were located next to androgen response elements (ARE). Five ARE genes showed sex-differential expressions. This study contributes new insights into sex-dimorphisms of kidney traits along with new prioritized gene targets for further molecular research.
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- 2024
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9. Family-based association analysis confirms the role of the chromosome 9q21.32 locus in the susceptibility of diabetic nephropathy.
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Marcus G Pezzolesi, Jackson Jeong, Adam M Smiles, Jan Skupien, Josyf C Mychaleckyj, Stephen S Rich, James H Warram, and Andrzej S Krolewski
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Medicine ,Science - Abstract
A genome-wide association scan of type 1 diabetic patients from the GoKinD collections previously identified four novel diabetic nephropathy susceptibility loci that have subsequently been shown to be associated with diabetic nephropathy in unrelated patients with type 2 diabetes. To expand these findings, we examined whether single nucleotide polymorphisms (SNPs) at these susceptibility loci were associated with diabetic nephropathy in patients from the Joslin Study of Genetics of Nephropathy in Type 2 Diabetes Family Collection. Six SNPs across the four loci identified in the GoKinD collections and 7 haplotype tagging SNPs, were genotyped in 66 extended families of European ancestry. Pedigrees from this collection contained an average of 18.5 members, including 2 to 14 members with type 2 diabetes. Among diabetic family members, the 9q21.32 locus approached statistical significance with advanced diabetic nephropathy (P = 0.037 [adjusted P = 0.222]). When we expanded our definition of diabetic nephropathy to include individuals with high microalbuminuria, the strength of this association improved significantly (P = 1.42×10(-3) [adjusted P = 0.009]). This same locus also trended toward statistical significance with variation in urinary albumin excretion in family members with type 2 diabetes (P = 0.032 [adjusted P = 0.192]) and in analyses expanded to include all relatives (P = 0.019 [adjusted P = 0.114]). These data increase support that SNPs identified in the GoKinD collections on chromosome 9q21.32 are true diabetic nephropathy susceptibility loci.
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- 2013
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10. Population structure of Hispanics in the United States: the multi-ethnic study of atherosclerosis.
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Ani Manichaikul, Walter Palmas, Carlos J Rodriguez, Carmen A Peralta, Jasmin Divers, Xiuqing Guo, Wei-Min Chen, Quenna Wong, Kayleen Williams, Kathleen F Kerr, Kent D Taylor, Michael Y Tsai, Mark O Goodarzi, Michèle M Sale, Ana V Diez-Roux, Stephen S Rich, Jerome I Rotter, and Josyf C Mychaleckyj
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Genetics ,QH426-470 - Abstract
Using ~60,000 SNPs selected for minimal linkage disequilibrium, we perform population structure analysis of 1,374 unrelated Hispanic individuals from the Multi-Ethnic Study of Atherosclerosis (MESA), with self-identification corresponding to Central America (n = 93), Cuba (n = 50), the Dominican Republic (n = 203), Mexico (n = 708), Puerto Rico (n = 192), and South America (n = 111). By projection of principal components (PCs) of ancestry to samples from the HapMap phase III and the Human Genome Diversity Panel (HGDP), we show the first two PCs quantify the Caucasian, African, and Native American origins, while the third and fourth PCs bring out an axis that aligns with known South-to-North geographic location of HGDP Native American samples and further separates MESA Mexican versus Central/South American samples along the same axis. Using k-means clustering computed from the first four PCs, we define four subgroups of the MESA Hispanic cohort that show close agreement with self-identification, labeling the clusters as primarily Dominican/Cuban, Mexican, Central/South American, and Puerto Rican. To demonstrate our recommendations for genetic analysis in the MESA Hispanic cohort, we present pooled and stratified association analysis of triglycerides for selected SNPs in the LPL and TRIB1 gene regions, previously reported in GWAS of triglycerides in Caucasians but as yet unconfirmed in Hispanic populations. We report statistically significant evidence for genetic association in both genes, and we further demonstrate the importance of considering population substructure and genetic heterogeneity in genetic association studies performed in the United States Hispanic population.
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- 2012
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11. Evaluation of 15 functional candidate genes for association with chronic otitis media with effusion and/or recurrent otitis media (COME/ROM).
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Michèle M Sale, Wei-Min Chen, Daniel E Weeks, Josyf C Mychaleckyj, Xuanlin Hou, Miranda Marion, Fernando Segade, Margaretha L Casselbrant, Ellen M Mandel, Robert E Ferrell, Stephen S Rich, and Kathleen A Daly
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Medicine ,Science - Abstract
DNA sequence variants in genes involved in the innate immune response and secondary response to infection may confer susceptibility to chronic otitis media with effusion and/or recurrent otitis media (COME/ROM). We evaluated single nucleotide polymorphisms (SNPs) in 15 functional candidate genes. A total of 99 SNPs were successfully genotyped on the Sequenom platform in 142 families (618 subjects) from the Minnesota COME/ROM Family Study. Data were analyzed for association with COME/ROM using the Generalized Disequilibrium Test (GDT). Sex and age at exam were adjusted as covariates, relatedness was accounted for, and genotype differences from all phenotypically discordant relative pairs were utilized to measure the evidence of association between COME/ROM and each SNP. SNP rs2735733 in the region of the mucin 5, subtypes A/C gene (MUC5AC) exhibited nominal evidence for association with COME/ROM (P = 0.002). Two additional SNPs from this region had P values
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- 2011
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12. Genome-wide study investigating effector genes and polygenic prediction for kidney function in persons with ancestry from Africa and the Americas
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Odessica Hughes, Amy R. Bentley, Charles E. Breeze, Francois Aguet, Xiaoguang Xu, Girish Nadkarni, Quan Sun, Bridget M. Lin, Thomas Gilliland, Mariah C. Meyer, Jiawen Du, Laura M. Raffield, Holly Kramer, Robert W. Morton, Mateus H. Gouveia, Elizabeth G. Atkinson, Adan Valladares-Salgado, Niels Wacher-Rodarte, Nicole D. Dueker, Xiuqing Guo, Yang Hai, Adebowale Adeyemo, Lyle G. Best, Jianwen Cai, Guanjie Chen, Michael Chong, Ayo Doumatey, James Eales, Mark O. Goodarzi, Eli Ipp, Marguerite Ryan Irvin, Minzhi Jiang, Alana C. Jones, Charles Kooperberg, Jose E. Krieger, Ethan M. Lange, Matthew B. Lanktree, James P. Lash, Paulo A. Lotufo, Ruth J.F. Loos, Vy Thi Ha My, Jesús Peralta-Romero, Lihong Qi, Leslie J. Raffel, Stephen S. Rich, Erik J. Rodriquez, Eduardo Tarazona-Santos, Kent D. Taylor, Jason G. Umans, Jia Wen, Bessie A. Young, Zhi Yu, Ying Zhang, Yii-Der Ida Chen, Tanja Rundek, Jerome I. Rotter, Miguel Cruz, Myriam Fornage, Maria Fernanda Lima-Costa, Alexandre C. Pereira, Guillaume Paré, Pradeep Natarajan, Shelley A. Cole, April P. Carson, Leslie A. Lange, Yun Li, Eliseo J. Perez-Stable, Ron Do, Fadi J. Charchar, Maciej Tomaszewski, Josyf C. Mychaleckyj, Charles Rotimi, Andrew P. Morris, and Nora Franceschini
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kidney function ,chronic kidney disease ,genome-wide association study ,multi-ancestry ,admixed populations ,eGFR ,Genetics ,QH426-470 ,Internal medicine ,RC31-1245 - Abstract
Summary: Chronic kidney disease is a leading cause of death and disability globally and impacts individuals of African ancestry (AFR) or with ancestry in the Americas (AMS) who are under-represented in genome-wide association studies (GWASs) of kidney function. To address this bias, we conducted a large meta-analysis of GWASs of estimated glomerular filtration rate (eGFR) in 145,732 AFR and AMS individuals. We identified 41 loci at genome-wide significance (p
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- 2024
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13. The core clock gene, Bmal1, and its downstream target, the SNARE regulatory protein secretagogin, are necessary for circadian secretion of glucagon-like peptide-1
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Andrew D. Biancolin, Alexandre Martchenko, Emilia Mitova, Patrick Gurges, Everan Michalchyshyn, Jennifer A. Chalmers, Alessandro Doria, Josyf C. Mychaleckyj, Alice E. Adriaenssens, Frank Reimann, Fiona M. Gribble, Manuel Gil-Lozano, Brian J. Cox, and Patricia L. Brubaker
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Internal medicine ,RC31-1245 - Abstract
Objectives: The incretin hormone glucagon-like peptide-1 (GLP-1) is secreted from intestinal L-cells upon nutrient intake. While recent evidence has shown that GLP-1 is released in a circadian manner in rats, whether this occurs in mice and if this pattern is regulated by the circadian clock remain to be elucidated. Furthermore, although circadian GLP-1 secretion parallels expression of the core clock gene Bmal1, the link between the two remains largely unknown. Secretagogin (Scgn) is an exocytotic SNARE regulatory protein that demonstrates circadian expression and is essential for insulin secretion from β-cells. The objective of the current study was to establish the necessity of the core clock gene Bmal1 and the SNARE protein SCGN as essential regulators of circadian GLP-1 secretion. Methods: Oral glucose tolerance tests were conducted at different times of the day on 4-hour fasted C57BL/6J, Bmal1 wild-type, and Bmal1 knockout mice. Mass spectrometry, RNA-seq, qRT-PCR and/or microarray analyses, and immunostaining were conducted on murine (m) and human (h) primary L-cells and mGLUTag and hNCI-H716 L-cell lines. At peak and trough GLP-1 secretory time points, the mGLUTag cells were co-stained for SCGN and a membrane-marker, ChIP was used to analyze BMAL1 binding sites in the Scgn promoter, protein interaction with SCGN was tested by co-immunoprecipitation, and siRNA was used to knockdown Scgn for GLP-1 secretion assay. Results: C57BL/6J mice displayed a circadian rhythm in GLP-1 secretion that peaked at the onset of their feeding period. Rhythmic GLP-1 release was impaired in Bmal1 knockout (KO) mice as compared to wild-type controls at the peak (p
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- 2020
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14. Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans
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Meijian Guan, Jacob M. Keaton, Latchezar Dimitrov, Pamela J. Hicks, Jianzhao Xu, Nicholette D. Palmer, Lijun Ma, Swapan K. Das, Yii-Der I. Chen, Josef Coresh, Myriam Fornage, Nora Franceschini, Holly Kramer, Carl D. Langefeld, Josyf C. Mychaleckyj, Rulan S. Parekh, Wendy S. Post, Laura J. Rasmussen-Torvik, Stephen S. Rich, Jerome I. Rotter, John R. Sedor, Denyse Thornley-Brown, Adrienne Tin, James G. Wilson, Barry I. Freedman, Donald W. Bowden, Maggie C. Y. Ng, and FIND Consortium
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African Americans ,Genome-wide association study ,Type 2 diabetes ,Diabetic kidney disease ,End-stage kidney disease ,Medicine ,Genetics ,QH426-470 - Abstract
Abstract Background End-stage kidney disease (ESKD) is a significant public health concern disproportionately affecting African Americans (AAs). Type 2 diabetes (T2D) is the leading cause of ESKD in the USA, and efforts to uncover genetic susceptibility to diabetic kidney disease (DKD) have had limited success. A prior genome-wide association study (GWAS) in AAs with T2D-ESKD was expanded with additional AA cases and controls and genotypes imputed to the higher density 1000 Genomes reference panel. The discovery analysis included 3432 T2D-ESKD cases and 6977 non-diabetic non-nephropathy controls (N = 10,409), followed by a discrimination analysis in 2756 T2D non-nephropathy controls to exclude T2D-associated variants. Results Six independent variants located in or near RND3/RBM43, SLITRK3, ENPP7, GNG7, and APOL1 achieved genome-wide significant association (P
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- 2019
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15. Association of APOL1 Genotypes With Measures of Microvascular and Endothelial Function, and Blood Pressure in MESA
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Teresa K. Chen, Ronit Katz, Michelle M. Estrella, Wendy S. Post, Holly Kramer, Jerome I. Rotter, Bamidele Tayo, Josyf C. Mychaleckyj, Christina L. Wassel, and Carmen A. Peralta
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APOL1 ,apolipoprotein L1 ,arterial stiffness ,blood pressure ,hypertension ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Background APOL1 high‐risk genotypes are associated with increased risk for hypertension‐attributed kidney disease among Black adults in the United States. Biopsy studies show differences in kidney vasculature by APOL1 status; less is known about the variants' associations with systemic vascular and endothelial function. Whether APOL1 risk variants are associated with blood pressure (BP) is also uncertain. Methods and Results Using linear regression, we examined cross‐sectional associations of APOL1 risk genotypes (high=2 risk alleles, low=0 or 1 risk allele) with subclinical measures of vascular function (small arterial elasticity, n=1586; large arterial elasticity, n=1586; ascending aortic distensibility, n=985) and endothelial function (flow‐mediated dilation, n=777). Using linear mixed‐effects models, we studied longitudinal associations of APOL1 risk genotypes with BP (n=1619), adjusting for age, sex, and African ancestry. Among 1619 (12% APOL1 high‐risk) Black participants in MESA (Multi‐Ethnic Study of Atherosclerosis), mean age was 62 years old, 58% had hypertension, and mean systolic BP was 131 mm Hg at baseline. At examination 1 (2000–2002), there was no significant difference in small arterial elasticity, large arterial elasticity, ascending aortic distensibility, or flow‐mediated dilation in participants with APOL1 high‐ versus low‐risk genotypes (P>0.05 for all). Over a mean follow‐up of 7.8 years, relative annual changes in systolic and diastolic BP and pulse pressure did not differ significantly by APOL1 risk status (between‐group differences of −0.20, −0.14, and −0.25, respectively; P>0.05 for all). Conclusions Among Black participants in MESA, APOL1 high‐risk genotypes were not associated with subclinical vascular and endothelial function or BP trajectories. The relationship of APOL1 with kidney disease may be intrinsic to the kidney rather than through peripheral effects on systemic vasculature or BP.
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- 2020
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16. Whole Genome Sequence Analysis of the Plasma Proteome in Black Adults Provides Novel Insights Into Cardiovascular Disease
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Daniel H. Katz, Usman A. Tahir, Alexander G. Bick, Akhil Pampana, Debby Ngo, Mark D. Benson, Zhi Yu, Jeremy M. Robbins, Zsu-Zsu Chen, Daniel E. Cruz, Shuliang Deng, Laurie Farrell, Sumita Sinha, Alec A. Schmaier, Dongxiao Shen, Yan Gao, Michael E. Hall, Adolfo Correa, Russell P. Tracy, Peter Durda, Kent D. Taylor, Yongmei Liu, W. Craig Johnson, Xiuqing Guo, Jie Yao, Yii-Der Ida Chen, Ani W. Manichaikul, Deepti Jain, Claude Bouchard, Mark A. Sarzynski, Stephen S. Rich, Jerome I. Rotter, Thomas J. Wang, James G. Wilson, Pradeep Natarajan, Robert E. Gerszten, Namiko Abe, Gonçalo Abecasis, Francois Aguet, Christine Albert, Laura Almasy, Alvaro Alonso, Seth Ament, Peter Anderson, Pramod Anugu, Deborah Applebaum-Bowden, Kristin Ardlie, Dan Arking, Donna K. Arnett, Allison Ashley-Koch, Stella Aslibekyan, Tim Assimes, Paul Auer, Dimitrios Avramopoulos, Najib Ayas, Adithya Balasubramanian, John Barnard, Kathleen Barnes, R. Graham Barr, Emily Barron-Casella, Lucas Barwick, Terri Beaty, Gerald Beck, Diane Becker, Lewis Becker, Rebecca Beer, Amber Beitelshees, Emelia Benjamin, Takis Benos, Marcos Bezerra, Larry Bielak, Joshua Bis, Thomas Blackwell, John Blangero, Eric Boerwinkle, Donald W. Bowden, Russell Bowler, Jennifer Brody, Ulrich Broeckel, Jai Broome, Deborah Brown, Karen Bunting, Esteban Burchard, Carlos Bustamante, Erin Buth, Brian Cade, Jonathan Cardwell, Vincent Carey, Julie Carrier, April Carson, Cara Carty, Richard Casaburi, Juan P. Casas Romero, James Casella, Peter Castaldi, Mark Chaffin, Christy Chang, Yi-Cheng Chang, Daniel Chasman, Sameer Chavan, Bo-Juen Chen, Wei-Min Chen, Michael Cho, Seung Hoan Choi, Lee-Ming Chuang, Mina Chung, Ren-Hua Chung, Clary Clish, Suzy Comhair, Matthew Conomos, Elaine Cornell, Carolyn Crandall, James Crapo, L. Adrienne Cupples, Joanne Curran, Jeffrey Curtis, Brian Custer, Coleen Damcott, Dawood Darbar, Sean David, Colleen Davis, Michelle Daya, Mariza de Andrade, Lisa de las Fuentes, Paul de Vries, Michael DeBaun, Ranjan Deka, Dawn DeMeo, Scott Devine, Huyen Dinh, Harsha Doddapaneni, Qing Duan, Shannon Dugan-Perez, Ravi Duggirala, Jon Peter Durda, Susan K. Dutcher, Charles Eaton, Lynette Ekunwe, Adel El Boueiz, Patrick Ellinor, Leslie Emery, Serpil Erzurum, Charles Farber, Jesse Farek, Tasha Fingerlin, Matthew Flickinger, Myriam Fornage, Nora Franceschini, Chris Frazar, Mao Fu, Stephanie M. Fullerton, Lucinda Fulton, Stacey Gabriel, Weiniu Gan, Shanshan Gao, Margery Gass, Heather Geiger, Bruce Gelb, Mark Geraci, Soren Germer, Robert Gerszten, Auyon Ghosh, Richard Gibbs, Chris Gignoux, Mark Gladwin, David Glahn, Stephanie Gogarten, Da-Wei Gong, Harald Goring, Sharon Graw, Kathryn J. Gray, Daniel Grine, Colin Gross, C. Charles Gu, Yue Guan, Namrata Gupta, David M. Haas, Jeff Haessler, Michael Hall, Yi Han, Patrick Hanly, Daniel Harris, Nicola L. Hawley, Jiang He, Ben Heavner, Susan Heckbert, Ryan Hernandez, David Herrington, Craig Hersh, Bertha Hidalgo, James Hixson, Brian Hobbs, John Hokanson, Elliott Hong, Karin Hoth, Chao (Agnes) Hsiung, Jianhong Hu, Yi-Jen Hung, Haley Huston, Chii Min Hwu, Marguerite Ryan Irvin, Rebecca Jackson, Cashell Jaquish, Jill Johnsen, Andrew Johnson, Craig Johnson, Rich Johnston, Kimberly Jones, Hyun Min Kang, Robert Kaplan, Sharon Kardia, Shannon Kelly, Eimear Kenny, Michael Kessler, Alyna Khan, Ziad Khan, Wonji Kim, John Kimoff, Greg Kinney, Barbara Konkle, Charles Kooperberg, Holly Kramer, Christoph Lange, Ethan Lange, Leslie Lange, Cathy Laurie, Cecelia Laurie, Meryl LeBoff, Jiwon Lee, Sandra Lee, Wen-Jane Lee, Jonathon LeFaive, David Levine, Dan Levy, Joshua Lewis, Xiaohui Li, Yun Li, Henry Lin, Honghuang Lin, Xihong Lin, Simin Liu, Yu Liu, Ruth J.F. Loos, Steven Lubitz, Kathryn Lunetta, James Luo, Ulysses Magalang, Michael Mahaney, Barry Make, Ani Manichaikul, Alisa Manning, JoAnn Manson, Lisa Martin, Melissa Marton, Susan Mathai, Rasika Mathias, Susanne May, Patrick McArdle, Merry-Lynn McDonald, Sean McFarland, Stephen McGarvey, Daniel McGoldrick, Caitlin McHugh, Becky McNeil, Hao Mei, James Meigs, Vipin Menon, Luisa Mestroni, Ginger Metcalf, Deborah A. Meyers, Emmanuel Mignot, Julie Mikulla, Nancy Min, Mollie Minear, Ryan L. Minster, Braxton D. Mitchell, Matt Moll, Zeineen Momin, May E. Montasser, Courtney Montgomery, Donna Muzny, Josyf C. Mychaleckyj, Girish Nadkarni, Rakhi Naik, Take Naseri, Sergei Nekhai, Sarah C. Nelson, Bonnie Neltner, Caitlin Nessner, Deborah Nickerson, Osuji Nkechinyere, Kari North, Jeff O’Connell, Tim O’Connor, Heather Ochs-Balcom, Geoffrey Okwuonu, Allan Pack, David T. Paik, Nicholette Palmer, James Pankow, George Papanicolaou, Cora Parker, Gina Peloso, Juan Manuel Peralta, Marco Perez, James Perry, Ulrike Peters, Patricia Peyser, Lawrence S. Phillips, Jacob Pleiness, Toni Pollin, Wendy Post, Julia Powers Becker, Meher Preethi Boorgula, Michael Preuss, Bruce Psaty, Pankaj Qasba, Dandi Qiao, Zhaohui Qin, Nicholas Rafaels, Laura Raffield, Mahitha Rajendran, Vasan S. Ramachandran, D.C. Rao, Laura Rasmussen-Torvik, Aakrosh Ratan, Susan Redline, Robert Reed, Catherine Reeves, Elizabeth Regan, Alex Reiner, Muagututi’a Sefuiva Reupena, Ken Rice, Stephen Rich, Rebecca Robillard, Nicolas Robine, Dan Roden, Carolina Roselli, Jerome Rotter, Ingo Ruczinski, Alexi Runnels, Pamela Russell, Sarah Ruuska, Kathleen Ryan, Ester Cerdeira Sabino, Danish Saleheen, Shabnam Salimi, Sejal Salvi, Steven Salzberg, Kevin Sandow, Vijay G. Sankaran, Jireh Santibanez, Karen Schwander, David Schwartz, Frank Sciurba, Christine Seidman, Jonathan Seidman, Frédéric Sériès, Vivien Sheehan, Stephanie L. Sherman, Amol Shetty, Aniket Shetty, Wayne Hui-Heng Sheu, M. Benjamin Shoemaker, Brian Silver, Edwin Silverman, Robert Skomro, Albert Vernon Smith, Jennifer Smith, Josh Smith, Nicholas Smith, Tanja Smith, Sylvia Smoller, Beverly Snively, Michael Snyder, Tamar Sofer, Nona Sotoodehnia, Adrienne M. Stilp, Garrett Storm, Elizabeth Streeten, Jessica Lasky Su, Yun Ju Sung, Jody Sylvia, Adam Szpiro, Daniel Taliun, Hua Tang, Margaret Taub, Matthew Taylor, Simeon Taylor, Marilyn Telen, Timothy A. Thornton, Machiko Threlkeld, Lesley Tinker, David Tirschwell, Sarah Tishkoff, Hemant Tiwari, Catherine Tong, Russell Tracy, Michael Tsai, Dhananjay Vaidya, David Van Den Berg, Peter VandeHaar, Scott Vrieze, Tarik Walker, Robert Wallace, Avram Walts, Fei Fei Wang, Heming Wang, Jiongming Wang, Karol Watson, Jennifer Watt, Daniel E. Weeks, Joshua Weinstock, Bruce Weir, Scott T. Weiss, Lu-Chen Weng, Jennifer Wessel, Cristen Willer, Kayleen Williams, L. Keoki Williams, Carla Wilson, James Wilson, Lara Winterkorn, Quenna Wong, Joseph Wu, Huichun Xu, Lisa Yanek, Ivana Yang, Ketian Yu, Seyedeh Maryam Zekavat, Yingze Zhang, Snow Xueyan Zhao, Wei Zhao, Xiaofeng Zhu, Michael Zody, and Sebastian Zoellner
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Adult ,Male ,Proteomics ,Aging ,Whole genome sequence analysis ,Proteome ,Clinical Sciences ,Black People ,Disease ,Computational biology ,race and ethnicity ,Cardiorespiratory Medicine and Haematology ,Cardiovascular ,Article ,proteomics ,cardiovascular disease ,Physiology (medical) ,Genetics ,2.1 Biological and endogenous factors ,Humans ,Medicine ,Aetiology ,Lung ,Heart Disease - Coronary Heart Disease ,and Blood Institute TOPMed (Trans-Omics for Precision Medicine) Consortium† ,business.industry ,Prevention ,Human Genome ,National Heart ,Genomics ,Blood proteins ,Genetic architecture ,Heart Disease ,Good Health and Well Being ,Cardiovascular System & Hematology ,Cardiovascular Diseases ,Public Health and Health Services ,Female ,Cardiology and Cardiovascular Medicine ,business ,Biotechnology ,Genome-Wide Association Study - Abstract
Background: Plasma proteins are critical mediators of cardiovascular processes and are the targets of many drugs. Previous efforts to characterize the genetic architecture of the plasma proteome have been limited by a focus on individuals of European descent and leveraged genotyping arrays and imputation. Here we describe whole genome sequence analysis of the plasma proteome in individuals with greater African ancestry, increasing our power to identify novel genetic determinants. Methods: Proteomic profiling of 1301 proteins was performed in 1852 Black adults from the Jackson Heart Study using aptamer-based proteomics (SomaScan). Whole genome sequencing association analysis was ascertained for all variants with minor allele count ≥5. Results were validated using an alternative, antibody-based, proteomic platform (Olink) as well as replicated in the Multi-Ethnic Study of Atherosclerosis and the HERITAGE Family Study (Health, Risk Factors, Exercise Training and Genetics). Results: We identify 569 genetic associations between 479 proteins and 438 unique genetic regions at a Bonferroni-adjusted significance level of 3.8×10 -11 . These associations include 114 novel locus-protein relationships and an additional 217 novel sentinel variant-protein relationships. Novel cardiovascular findings include new protein associations at the APOE gene locus including ZAP70 (sentinel single nucleotide polymorphism [SNP] rs7412-T, β=0.61±0.05, P =3.27×10 -30 ) and MMP-3 (β=-0.60±0.05, P =1.67×10 -32 ), as well as a completely novel pleiotropic locus at the HPX gene, associated with 9 proteins. Further, the associations suggest new mechanisms of genetically mediated cardiovascular disease linked to African ancestry; we identify a novel association between variants linked to APOL1-associated chronic kidney and heart disease and the protein CKAP2 (rs73885319-G, β=0.34±0.04, P =1.34×10 -17 ) as well as an association between ATTR amyloidosis and RBP4 levels in community-dwelling individuals without heart failure. Conclusions: Taken together, these results provide evidence for the functional importance of variants in non-European populations, and suggest new biological mechanisms for ancestry-specific determinants of lipids, coagulation, and myocardial function.
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- 2022
17. Circulating Soluble CD163, Associations With Cardiovascular Outcomes and Mortality, and Identification of Genetic Variants in Older Individuals: The Cardiovascular Health Study
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Peter Durda, Laura M. Raffield, Ethan M. Lange, Nels C. Olson, Nancy Swords Jenny, Mary Cushman, Pia Deichgraeber, Niels Grarup, Anna Jonsson, Torben Hansen, Josyf C. Mychaleckyj, Bruce M. Psaty, Alex P. Reiner, Russell P. Tracy, and Leslie A. Lange
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Male ,Heart Failure ,genome-wide association study ,Antigens, Differentiation, Myelomonocytic ,Asialoglycoprotein Receptor ,cardiovascular diseases ,Cardiovascular Diseases ,Antigens, CD ,CD163 antigen ,risk factors ,Humans ,Female ,Longitudinal Studies ,humans ,monocytes ,Cardiology and Cardiovascular Medicine ,Biomarkers ,Aged ,Genome-Wide Association Study - Abstract
Background Monocytes/macrophages participate in cardiovascular disease. CD163 (cluster of differentiation 163) is a monocyte/macrophage receptor, and the shed sCD163 (soluble CD163) reflects monocyte/macrophage activation. We examined the association of sCD163 with incident cardiovascular disease events and performed a genome‐wide association study to identify sCD163‐associated variants. Methods and Results We measured plasma sCD163 in 5214 adults (aged ≥65 years, 58.7% women, 16.2% Black) of the CHS (Cardiovascular Health Study). We used Cox regression models (associations of sCD163 with incident events and mortality); median follow‐up was 26 years. Genome‐wide association study analyses were stratified on race. Adjusted for age, sex, and race and ethnicity, sCD163 levels were associated with all‐cause mortality (hazard ratio [HR], 1.08 [95% CI, 1.04–1.12] per SD increase), cardiovascular disease mortality (HR, 1.15 [95% CI, 1.09–1.21]), incident coronary heart disease (HR, 1.10 [95% CI, 1.04–1.16]), and incident heart failure (HR, 1.18 [95% CI, 1.12–1.25]). When further adjusted (eg, cardiovascular disease risk factors), only incident coronary heart disease lost significance. In European American individuals, genome‐wide association studies identified 38 variants on chromosome 2 near MGAT5 (top result rs62165726, P =3.3×10 −18 ),19 variants near chromosome 17 gene ASGR1 (rs55714927, P =1.5×10 −14 ), and 18 variants near chromosome 11 gene ST3GAL4 . These regions replicated in the European ancestry ADDITION‐PRO cohort, a longitudinal cohort study nested in the Danish arm of the Anglo‐Danish‐Dutch study of Intensive Treatment Intensive Treatment In peOple with screeNdetcted Diabetes in Primary Care. In Black individuals, we identified 9 variants on chromosome 6 (rs3129781 P =7.1×10 −9 ) in the HLA region, and 3 variants (rs115391969 P =4.3×10 −8 ) near the chromosome 16 gene MYLK3 . Conclusions Monocyte function, as measured by sCD163, may be predictive of overall and cardiovascular‐specific mortality and incident heart failure.
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- 2022
18. Whole-Exome Sequencing Study Identifies Four Novel Gene Loci Associated with Diabetic Kidney Disease
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Yang, Pan, Xiao, Sun, Xuenan, Mi, Zhijie, Huang, Yenchih, Hsu, James E, Hixson, Donna, Munzy, Ginger, Metcalf, Nora, Franceschini, Adrienne, Tin, Anna, Köttgen, Michael, Francis, Jennifer A, Brody, Bryan, Kestenbaum, Colleen M, Sitlani, Josyf C, Mychaleckyj, Holly, Kramer, Leslie A, Lange, Xiuqing, Guo, Shih-Jen, Hwang, Marguerite R, Irvin, Jennifer A, Smith, Lisa R, Yanek, Dhananjay, Vaidya, Yii-Der Ida, Chen, Myriam, Fornage, Donald M, Lloyd-Jones, Lifang, Hou, Rasika A, Mathias, Braxton D, Mitchell, Patricia A, Peyser, Sharon L R, Kardia, Donna K, Arnett, Adolfo, Correa, Laura M, Raffield, Ramachandran S, Vasan, L Adrienne, Cupple, Daniel, Levy, Robert C, Kaplan, Kari E, North, Jerome I, Rotter, Charles, Kooperberg, Alexander P, Reiner, Bruce M, Psaty, Russell P, Tracy, Richard A, Gibbs, Alanna C, Morrison, Harold, Feldman, Eric, Boerwinkle, Jiang, He, and Tanika N, Kelly
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Genetics ,General Medicine ,Molecular Biology ,Genetics (clinical) - Abstract
Diabetic kidney disease (DKD) is recognized as an important public health challenge. However, its genomic mechanisms are poorly understood. To identify rare variants for DKD, we conducted a whole-exome sequencing (WES) study leveraging large cohorts well-phenotyped for chronic kidney disease (CKD) and diabetes. Our two-stage whole-exome sequencing study included 4372 European and African ancestry participants from the Chronic Renal Insufficiency Cohort (CRIC) and Atherosclerosis Risk in Communities (ARIC) studies (stage-1) and 11 487 multi-ancestry Trans-Omics for Precision Medicine (TOPMed) participants (stage-2). Generalized linear mixed models, which accounted for genetic relatedness and adjusted for age, sex, and ancestry, were used to test associations between single variants and DKD. Gene-based aggregate rare variant analyses were conducted using an optimized sequence kernel association test (SKAT-O) implemented within our mixed model framework. We identified four novel exome-wide significant DKD-related loci through initiating diabetes. In single variant analyses, participants carrying a rare, in-frame insertion in the DIS3L2 gene (rs141560952) exhibited a 193-fold increased odds (95% confidence interval: 33.6, 1105) of DKD compared with non-carriers (P = 3.59 × 10-9). Likewise, each copy of a low-frequency KRT6B splice-site variant (rs425827) conferred a 5.31-fold higher odds (95% confidence interval: 3.06, 9.21) of DKD (P = 2.72 × 10-9). Aggregate gene-based analyses further identified ERAP2 (P = 4.03 × 10-8) and NPEPPS (P = 1.51 × 10-7), which are both expressed in the kidney and implicated in renin-angiotensin-aldosterone system modulated immune response. In the largest WES study of DKD, we identified novel rare variant loci attaining exome-wide significance. These findings provide new insights into the molecular mechanisms underlying DKD.
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- 2022
19. Whole Genome Sequencing Identifies CRISPLD2 as a Lung Function Gene in Children With Asthma
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Priyadarshini Kachroo, Julian Hecker, Bo L. Chawes, Tarunveer S. Ahluwalia, Michael H. Cho, Dandi Qiao, Rachel S. Kelly, Su H. Chu, Yamini V. Virkud, Mengna Huang, Kathleen C. Barnes, Esteban G. Burchard, Celeste Eng, Donglei Hu, Juan C. Celedón, Michelle Daya, Albert M. Levin, Hongsheng Gui, L. Keoki Williams, Erick Forno, Angel C.Y. Mak, Lydiana Avila, Manuel E. Soto-Quiros, Michelle M. Cloutier, Edna Acosta-Pérez, Glorisa Canino, Klaus Bønnelykke, Hans Bisgaard, Benjamin A. Raby, Christoph Lange, Scott T. Weiss, Jessica A. Lasky-Su, Namiko Abe, Goncalo Abecasis, Christine Albert, Nicholette (Nichole) Palmer Allred, Laura Almasy, Alvaro Alonso, Seth Ament, Peter Anderson, Pramod Anugu, Deborah Applebaum-Bowden, Dan Arking, Donna K. Arnett, Allison Ashley-Koch, Stella Aslibekyan, Tim Assimes, Paul Auer, Dimitrios Avramopoulos, John Barnard, Kathleen Barnes, R. Graham Barr, Emily Barron-Casella, Terri Beaty, Diane Becker, Lewis Becker, Rebecca Beer, Ferdouse Begum, Amber Beitelshees, Emelia Benjamin, Marcos Bezerra, Larry Bielak, Joshua Bis, Thomas Blackwell, John Blangero, Eric Boerwinkle, Ingrid Borecki, Russell Bowler, Jennifer Brody, Ulrich Broeckel, Jai Broome, Karen Bunting, Esteban Burchard, Jonathan Cardwell, Cara Carty, Richard Casaburi, James Casella, Mark Chaffin, Christy Chang, Daniel Chasman, Sameer Chavan, Bo-Juen Chen, Wei-Min Chen, Yii-Der Ida Chen, Seung Hoan Choi, Lee-Ming Chuang, Mina Chung, Elaine Cornell, Adolfo Correa, Carolyn Crandall, James Crapo, L. Adrienne Cupples, Joanne Curran, Jeffrey Curtis, Brian Custer, Coleen Damcott, Dawood Darbar, Sayantan Das, Sean David, Colleen Davis, Mariza de Andrade, Michael DeBaun, Ranjan Deka, Dawn DeMeo, Scott Devine, Ron Do, Qing Duan, Ravi Duggirala, Peter Durda, Susan Dutcher, Charles Eaton, Lynette Ekunwe, Patrick Ellinor, Leslie Emery, Charles Farber, Leanna Farnam, Tasha Fingerlin, Matthew Flickinger, Myriam Fornage, Nora Franceschini, Mao Fu, Stephanie M. Fullerton, Lucinda Fulton, Stacey Gabriel, Weiniu Gan, Yan Gao, Margery Gass, Bruce Gelb, Xiaoqi (Priscilla) Geng, Soren Germer, Chris Gignoux, Mark Gladwin, David Glahn, Stephanie Gogarten, Da-Wei Gong, Harald Goring, C. Charles Gu, Yue Guan, Xiuqing Guo, Jeff Haessler, Michael Hall, Daniel Harris, Nicola Hawley, Jiang He, Ben Heavner, Susan Heckbert, Ryan Hernandez, David Herrington, Craig Hersh, Bertha Hidalgo, James Hixson, John Hokanson, Kramer Holly, Elliott Hong, Karin Hoth, Chao (Agnes) Hsiung, Haley Huston, Chii Min Hwu, Marguerite Ryan Irvin, Rebecca Jackson, Deepti Jain, Cashell Jaquish, Min A. Jhun, Jill Johnsen, Andrew Johnson, Craig Johnson, Rich Johnston, Kimberly Jones, Hyun Min Kang, Robert Kaplan, Sharon Kardia, Sekar Kathiresan, Laura Kaufman, Shannon Kelly, Eimear Kenny, Michael Kessler, Alyna Khan, Greg Kinney, Barbara Konkle, Charles Kooperberg, Stephanie Krauter, Ethan Lange, Leslie Lange, Cathy Laurie, Cecelia Laurie, Meryl LeBoff, Seunggeun Shawn Lee, Wen-Jane Lee, Jonathon LeFaive, David Levine, Dan Levy, Joshua Lewis, Yun Li, Honghuang Lin, Keng Han Lin, Simin Liu, Yongmei Liu, Ruth Loos, Steven Lubitz, Kathryn Lunetta, James Luo, Michael Mahaney, Barry Make, Ani Manichaikul, JoAnn Manson, Lauren Margolin, Lisa Martin, Susan Mathai, Rasika Mathias, Patrick McArdle, Merry-Lynn McDonald, Sean McFarland, Stephen McGarvey, Hao Mei, Deborah A. Meyers, Julie Mikulla, Nancy Min, Mollie Minear, Ryan L. Minster, Braxton Mitchell, May E. Montasser, Solomon Musani, Stanford Mwasongwe, Josyf C. Mychaleckyj, Girish Nadkarni, Rakhi Naik, Pradeep Natarajan, Sergei Nekhai, Deborah Nickerson, Kari North, Jeff O'Connell, Tim O'Connor, Heather Ochs-Balcom, James Pankow, George Papanicolaou, Margaret Parker, Afshin Parsa, Sara Penchev, Juan Manuel Peralta, Marco Perez, James Perry, Ulrike Peters, Patricia Peyser, Lawrence S. Phillips, Sam Phillips, Toni Pollin, Wendy Post, Julia Powers Becker, Meher Preethi Boorgula, Michael Preuss, Dmitry Prokopenko, Bruce Psaty, Pankaj Qasba, Zhaohui Qin, Nicholas Rafaels, Laura Raffield, Vasan Ramachandran, D.C. Rao, Laura Rasmussen-Torvik, Aakrosh Ratan, Susan Redline, Robert Reed, Elizabeth Regan, Alex Reiner, Ken Rice, Stephen Rich, Dan Roden, Carolina Roselli, Jerome Rotter, Ingo Ruczinski, Pamela Russell, Sarah Ruuska, Kathleen Ryan, Phuwanat Sakornsakolpat, Shabnam Salimi, Steven Salzberg, Kevin Sandow, Vijay Sankaran, Christopher Scheller, Ellen Schmidt, Karen Schwander, David Schwartz, Frank Sciurba, Christine Seidman, Jonathan Seidman, Vivien Sheehan, Amol Shetty, Aniket Shetty, Wayne Hui-Heng Sheu, M. Benjamin Shoemaker, Brian Silver, Edwin Silverman, Jennifer Smith, Josh Smith, Nicholas Smith, Tanja Smith, Sylvia Smoller, Beverly Snively, Tamar Sofer, Nona Sotoodehnia, Adrienne Stilp, Elizabeth Streeten, Yun Ju Sung, Jessica Su-Lasky, Jody Sylvia, Adam Szpiro, Carole Sztalryd, Daniel Taliun, Hua Tang, Margaret Taub, Kent Taylor, Simeon Taylor, Marilyn Telen, Timothy A. Thornton, Lesley Tinker, David Tirschwell, Hemant Tiwari, Russell Tracy, Michael Tsai, Dhananjay Vaidya, Peter VandeHaar, Scott Vrieze, Tarik Walker, Robert Wallace, Avram Walts, Emily Wan, Fei Fei Wang, Karol Watson, Daniel E. Weeks, Bruce Weir, Scott Weiss, Lu-Chen Weng, Cristen Willer, Kayleen Williams, Carla Wilson, James Wilson, Quenna Wong, Huichun Xu, Lisa Yanek, Ivana Yang, Rongze Yang, Norann Zaghloul, Maryam Zekavat, Yingze Zhang, Snow Xueyan Zhao, Wei Zhao, Xiuwen Zheng, Degui Zhi, Xiang Zhou, Michael Zody, and Sebastian Zoellner
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Adult ,Costa Rica ,Male ,Pulmonary and Respiratory Medicine ,Adolescent ,Vital Capacity ,Single-nucleotide polymorphism ,Pedigree chart ,Critical Care and Intensive Care Medicine ,Young Adult ,03 medical and health sciences ,FEV1/FVC ratio ,0302 clinical medicine ,Polymorphism (computer science) ,Forced Expiratory Volume ,Humans ,Medicine ,SNP ,030212 general & internal medicine ,Child ,Asthma ,Whole Genome Sequencing ,business.industry ,Middle Aged ,respiratory system ,medicine.disease ,respiratory tract diseases ,Minor allele frequency ,030228 respiratory system ,Genetic epidemiology ,Child, Preschool ,Interferon Regulatory Factors ,Immunology ,Respiratory Physiological Phenomena ,Female ,Cardiology and Cardiovascular Medicine ,business ,Cell Adhesion Molecules - Abstract
BACKGROUND: Asthma is a common respiratory disorder with a highly heterogeneous nature that remains poorly understood. The objective was to use whole genome sequencing (WGS) data to identify regions of common genetic variation contributing to lung function in individuals with a diagnosis of asthma. METHODS: WGS data were generated for 1,053 individuals from trios and extended pedigrees participating in the family-based Genetic Epidemiology of Asthma in Costa Rica study. Asthma affection status was defined through a physician’s diagnosis of asthma, and most participants with asthma also had airway hyperresponsiveness (AHR) to methacholine. Family-based association tests for single variants were performed to assess the associations with lung function phenotypes. RESULTS: A genome-wide significant association was identified between baseline FEV(1)/FVC ratio and a single-nucleotide polymorphism in the top hit cysteine-rich secretory protein LCCL domain-containing 2 (CRISPLD2) (rs12051168; P = 3.6 × 10(−8) in the unadjusted model) that retained suggestive significance in the covariate-adjusted model (P = 5.6 × 10(−6)). Rs12051168 was also nominally associated with other related phenotypes: baseline FEV(1) (P = 3.3 × 10(−3)), postbronchodilator (PB) FEV(1) (7.3 × 10(−3)), and PB FEV(1)/FVC ratio (P = 2.7 × 10(−3)). The identified baseline FEV(1)/FVC ratio and rs12051168 association was meta-analyzed and replicated in three independent cohorts in which most participants with asthma also had confirmed AHR (combined weighted z-score P = .015) but not in cohorts without information about AHR. CONCLUSIONS: These findings suggest that using specific asthma characteristics, such as AHR, can help identify more genetically homogeneous asthma subgroups with genotype-phenotype associations that may not be observed in all children with asthma. CRISPLD2 also may be important for baseline lung function in individuals with asthma who also may have AHR.
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- 2019
20. Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci
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Adolfo Correa, David Van Den Berg, Sonja I. Berndt, Elizabeth R. Hauser, Anna Batorsky, Ethan M. Lange, Andrea A. Baccarelli, Leslie A. Lange, Fadi J. Charchar, Nora Franceschini, Steve Horvath, Mindy D. Szeto, James Eales, Stephan Beck, Xiao Jiang, Laura M. Raffield, Kathryn L. Evans, Russell P. Tracy, Andrew P. Morris, William E. Kraus, Xiaoguang Xu, Maciej Tomaszewski, Stephanie J. London, Daniel L. McCartney, Caroline Hayward, Hermant K Tiwari, Jerome I. Rotter, Josyf C. Mychaleckyj, Eric A. Whitsel, Mi Kyeong Lee, Peter Durda, Lifang Hou, Donna K. Arnett, Holly Kramer, Amit Patki, Marguerite R. Irvin, Riccardo E. Marioni, Rong Jiang, Yongmei Liu, Charles E Breeze, Svati H. Shah, and Stephen S. Rich
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Epigenomics ,Kidney Disease ,Kidney development ,QH426-470 ,Kidney ,Kidney Function Tests ,Epigenesis, Genetic ,0302 clinical medicine ,Genetics (clinical) ,Regulation of gene expression ,Genetics ,0303 health sciences ,DNA methylation ,Epigenetic ,3. Good health ,Phenotype ,030220 oncology & carcinogenesis ,Medicine ,Molecular Medicine ,Glomerular Filtration Rate ,Population ,Quantitative Trait Loci ,Clinical Sciences ,Renal and urogenital ,Context (language use) ,Biology ,Quantitative Trait ,03 medical and health sciences ,Quantitative Trait, Heritable ,NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium ,Kidney function ,Genetic ,Humans ,Epigenetics ,Heritable ,Molecular Biology ,030304 developmental biology ,Research ,Human Genome ,Racial Groups ,Genetic Variation ,dNaM ,Epigenome ,Gene regulation ,Genetics, Population ,Gene Expression Regulation ,TOPMed MESA Multi-Omics Working Group ,CpG Islands ,Epigenesis ,Genome-Wide Association Study - Abstract
Background DNA methylation (DNAm) is associated with gene regulation and estimated glomerular filtration rate (eGFR), a measure of kidney function. Decreased eGFR is more common among US Hispanics and African Americans. The causes for this are poorly understood. We aimed to identify trans-ethnic and ethnic-specific differentially methylated positions (DMPs) associated with eGFR using an agnostic, genome-wide approach. Methods The study included up to 5428 participants from multi-ethnic studies for discovery and 8109 participants for replication. We tested the associations between whole blood DNAm and eGFR using beta values from Illumina 450K or EPIC arrays. Ethnicity-stratified analyses were performed using linear mixed models adjusting for age, sex, smoking, and study-specific and technical variables. Summary results were meta-analyzed within and across ethnicities. Findings were assessed using integrative epigenomics methods and pathway analyses. Results We identified 93 DMPs associated with eGFR at an FDR of 0.05 and replicated 13 and 1 DMPs across independent samples in trans-ethnic and African American meta-analyses, respectively. The study also validated 6 previously published DMPs. Identified DMPs showed significant overlap enrichment with DNase I hypersensitive sites in kidney tissue, sites associated with the expression of proximal genes, and transcription factor motifs and pathways associated with kidney tissue and kidney development. Conclusions We uncovered trans-ethnic and ethnic-specific DMPs associated with eGFR, including DMPs enriched in regulatory elements in kidney tissue and pathways related to kidney development. These findings shed light on epigenetic mechanisms associated with kidney function, bridging the gap between population-specific eGFR-associated DNAm and tissue-specific regulatory context.
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- 2021
21. Oral rotavirus vaccine shedding as a marker of mucosal immunity
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Abdul Kader, Sean A. Diehl, Dorothy M. Dickson, Uma Nayak, Beth D. Kirkpatrick, Benjamin Lee, E. Ross Colgate, Marya P. Carmolli, Masud Alam, Josyf C. Mychaleckyj, Sajia Afreen, Rashidul Haque, and William A. Petri
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Rotavirus ,Science ,Administration, Oral ,Paediatric research ,Vaccines, Attenuated ,medicine.disease_cause ,Article ,Rotavirus Infections ,Cohort Studies ,Feces ,Immunity ,medicine ,Humans ,Viral shedding ,Prospective cohort study ,Immunity, Mucosal ,Mucosal immunity ,Vaccines ,Multidisciplinary ,business.industry ,Rotavirus Vaccines ,Infant ,Rotavirus vaccine ,Gastroenteritis ,Diarrhea ,Immunology ,Medicine ,medicine.symptom ,business - Abstract
Rotavirus remains a leading cause of pediatric diarrhea worldwide, in part due to underperformance of currently approved live-attenuated, oral vaccines in low-and-middle income countries (LMIC). Improved immune correlates of protection (CoP) for existing oral vaccines and novel strategies to evaluate the performance of next-generation vaccines are needed. Use of oral vaccines as challenge agents in controlled human infection models is a potential approach to CoP discovery that remains underexplored. In a live-attenuated, oral rotavirus vaccine (Rotarix, GlaxoSmithKline) efficacy trial conducted among infants in Dhaka, Bangladesh, we explored the potential for the second dose of the two-dose series to be considered a challenge agent through which rotavirus immunity could be explored, using fecal virus shedding post-dose 2 as a marker of mucosal immunity. Among 180 vaccinated infants who completed the parent study per protocol, the absence of fecal vaccine shedding following the second dose of Rotarix suggested intestinal mucosal immunity generated by the first dose and a decreased risk of rotavirus diarrhea through 2 years of life (RR 0.616, 95% CI 0.392-0.968). Further development of controlled human infection models for rotavirus, especially in prospective studies with larger sample sizes, may be a promising tool to assess rotavirus vaccine efficacy and CoPs.
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- 2021
22. Association of Coding Variants in Hydroxysteroid 17-beta Dehydrogenase 14 (HSD17B14) with Reduced Progression to End Stage Kidney Disease in Type 1 Diabetes
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Rachel G. Miller, Erkka Valo, Jani K. Haukka, Tina Costacou, Barbara E.K. Klein, Beata Gyorgy, Joseph V. Bonventre, Katalin Susztak, Hillary A. Keenan, James H. Warram, Marlon Pragnell, Ivan G. Shabalin, Andrew D. Paterson, Stephen S. Rich, Takaharu Ichimura, Jingjing Cao, Suna Onengut-Gumuscu, Ronald Klein, Kristina O’Neil, Eiichiro Satake, Marcus G. Pezzolesi, Josyf C. Mychaleckyj, Niina Sandholm, Christian Dina, Andrzej T. Galecki, George L. King, Trevor J. Orchard, Samy Hadjadj, Per-Henrik Groop, Adam M. Smiles, Carol Forsblom, Andrzej S. Krolewski, David-Alexandre Trégouët, Tarunveer S. Ahluwalia, Peter Rossing, Ron Korstanje, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), CAMM - Research Program for Clinical and Molecular Metabolism, HUS Abdominal Center, Nefrologian yksikkö, Research Programs Unit, Clinicum, Medicum, Department of Medicine, and Per Henrik Groop / Principal Investigator
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Gene-based tests ,GENES ,GENETICS ,NEPHROPATHY ,DURATION ,030209 endocrinology & metabolism ,Hydroxysteroid 17-beta dehydrogenase 14 ,Diabetic nephropathy ,Biology ,03 medical and health sciences ,0302 clinical medicine ,Gene expression ,medicine ,Coding region ,GENOME-WIDE ASSOCIATION ,Diabetic kidney disease ,PREDICTORS ,Gene ,Exome ,030304 developmental biology ,RISK ,0303 health sciences ,Type 1 diabetes ,Kidney ,COMPLICATIONS ,End stage kidney disease ,MICROALBUMINURIA ,Rare variants ,General Medicine ,medicine.disease ,RENAL DECLINE ,medicine.anatomical_structure ,Nephrology ,3121 General medicine, internal medicine and other clinical medicine ,Cancer research ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Kidney disease - Abstract
Background Rare variants in gene coding regions likely have a greater impact on disease-related phenotypes than common variants through disruption of their encoded protein. We searched for rare variants associated with onset of end stage kidney disease (ESKD) in individuals with type 1 diabetes at advanced kidney disease stage. Methods Gene-based exome array analysis of 15,449 genes in 5 large incidence cohorts of individuals with type 1 diabetes and proteinuria were analyzed for survival time-to-ESKD, testing the top gene in a 6th cohort (N=2,372/1,115 events all cohorts) and replicating in two retrospective case-control studies (N=1,072 cases, 752 controls). Deep resequencing of the top associated gene in 5 cohorts confirmed the findings. We performed immunohistochemistry and gene expression experiments in human control and diseased cells, and in mouse ischemia reperfusion and aristolochic acid nephropathy models. Results Protein coding variants in the hydroxysteroid 17-beta dehydrogenase 14 gene (HSD17B14), predicted to affect protein structure, had a net protective effect against development of ESKD at exome-wide significance (N=4,196; p-value=3.3x10-7). The HSD17B14 gene and encoded enzyme were robustly expressed in healthy human kidney, maximally in proximal tubular cells. Paradoxically, gene and protein expression were attenuated in human diabetic proximal tubules and in mouse kidney injury models. Expressed HSD17B14 gene and protein levels remained low without recovery after 21 days in a murine ischemic reperfusion injury model. Decreased gene expression was found in other chronic kidney disease-associated renal pathologies. Conclusions HSD17B14 gene is mechanistically involved in diabetic kidney disease. The encoded sex steroid enzyme is a druggable target, potentially opening a new avenue for therapeutic development.
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- 2021
23. Associations between ambient air pollutants and clonal hematopoiesis of indeterminate potential (CHIP)
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Claire L. Leiser, Josyf C. Mychaleckyj, Sabah M. Quraishi, Russell P. Tracy, Stephen S. Rich, Kent D. Taylor, Adam A. Szpiro, Alex Bick, Albert V. Smith, Jerome I. Rotter, Eric A. Whitsel, Joel D. Kaufman, Charles Kooperberg, and Alexander P. Reiner
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Pollutant ,Environmental chemistry ,Clonal hematopoiesis ,General Earth and Planetary Sciences ,Biology ,Indeterminate ,General Environmental Science ,Ambient air - Published
- 2021
24. The core clock gene, Bmal1, and its downstream target, the SNARE regulatory protein secretagogin, are necessary for circadian secretion of glucagon-like peptide-1
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Andrew D. Biancolin, Patrick Gurges, Manuel Gil-Lozano, Brian J. Cox, Frank Reimann, Patricia L. Brubaker, Alice E. Adriaenssens, Alexandre Martchenko, Everan Michalchyshyn, Jennifer A. Chalmers, Alessandro Doria, Emilia Mitova, Josyf C. Mychaleckyj, Fiona M. Gribble, Reimann, Frank [0000-0001-9399-6377], Gribble, Fiona [0000-0002-4232-2898], and Apollo - University of Cambridge Repository
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0301 basic medicine ,Male ,lcsh:Internal medicine ,endocrine system ,Circadian clock ,030209 endocrinology & metabolism ,Biology ,03 medical and health sciences ,Mice ,0302 clinical medicine ,Glucagon-Like Peptide 1 ,Circadian Clocks ,Animals ,Secretion ,Circadian rhythm ,education ,lcsh:RC31-1245 ,Molecular Biology ,Regulation of gene expression ,Mice, Knockout ,Gene knockdown ,education.field_of_study ,digestive, oral, and skin physiology ,Circadian ,ARNTL Transcription Factors ,Secretagogin ,Cell Biology ,Glucose Tolerance Test ,3. Good health ,Cell biology ,CLOCK ,Mice, Inbred C57BL ,Bmal1 ,030104 developmental biology ,Knockout mouse ,Female ,Original Article ,GLP-1 ,L-cell ,SECRETAGOGIN ,Secretagogins - Abstract
Objectives The incretin hormone glucagon-like peptide-1 (GLP-1) is secreted from intestinal L-cells upon nutrient intake. While recent evidence has shown that GLP-1 is released in a circadian manner in rats, whether this occurs in mice and if this pattern is regulated by the circadian clock remain to be elucidated. Furthermore, although circadian GLP-1 secretion parallels expression of the core clock gene Bmal1, the link between the two remains largely unknown. Secretagogin (Scgn) is an exocytotic SNARE regulatory protein that demonstrates circadian expression and is essential for insulin secretion from β-cells. The objective of the current study was to establish the necessity of the core clock gene Bmal1 and the SNARE protein SCGN as essential regulators of circadian GLP-1 secretion. Methods Oral glucose tolerance tests were conducted at different times of the day on 4-hour fasted C57BL/6J, Bmal1 wild-type, and Bmal1 knockout mice. Mass spectrometry, RNA-seq, qRT-PCR and/or microarray analyses, and immunostaining were conducted on murine (m) and human (h) primary L-cells and mGLUTag and hNCI-H716 L-cell lines. At peak and trough GLP-1 secretory time points, the mGLUTag cells were co-stained for SCGN and a membrane-marker, ChIP was used to analyze BMAL1 binding sites in the Scgn promoter, protein interaction with SCGN was tested by co-immunoprecipitation, and siRNA was used to knockdown Scgn for GLP-1 secretion assay. Results C57BL/6J mice displayed a circadian rhythm in GLP-1 secretion that peaked at the onset of their feeding period. Rhythmic GLP-1 release was impaired in Bmal1 knockout (KO) mice as compared to wild-type controls at the peak (p, Highlights • Murine GLP-1 secretion is circadian and is regulated by the clock gene Bmal1. • The regulatory SNARE protein, secretagogin, is expressed in all intestinal L-cells. • Secretagogin expression is circadian and regulated by BMAL1 in intestinal L-cells. • Secretagogin translocates to the cell membrane upon L-cell stimulation. • Secretagogin knockdown impairs rhythmic secretion of glucagon-like peptide-1.
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- 2019
25. A Genetic Locus on Chromosome 2q24 Predicting Peripheral Neuropathy Risk in Type 2 Diabetes: Results From the ACCORD and BARI 2D Studies
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Pradipta R. Ray, Alessandro Doria, Petra A. Lenzini, Bruce A. Perkins, Alison A. Motsinger-Reif, Brian C. Callaghan, Michael J. Wagner, Rodica Pop-Busui, Yaling Tang, Hetal Shah, Sharon Cresci, John B. Buse, Hannah Campbell, Theodore J. Price, and Josyf C. Mychaleckyj
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Male ,0301 basic medicine ,Oncology ,medicine.medical_specialty ,Complications ,Endocrinology, Diabetes and Metabolism ,030209 endocrinology & metabolism ,Single-nucleotide polymorphism ,Locus (genetics) ,Genome-wide association study ,Polymorphism, Single Nucleotide ,03 medical and health sciences ,0302 clinical medicine ,Diabetic Neuropathies ,Gene Frequency ,Internal medicine ,Databases, Genetic ,Prevalence ,Internal Medicine ,medicine ,Humans ,Genetic Predisposition to Disease ,Allele ,Allele frequency ,Alleles ,Aged ,business.industry ,Incidence ,Odds ratio ,Middle Aged ,medicine.disease ,Minor allele frequency ,030104 developmental biology ,Peripheral neuropathy ,Diabetes Mellitus, Type 2 ,Genetic Loci ,Chromosomes, Human, Pair 2 ,Female ,business ,Genome-Wide Association Study - Abstract
Genetic factors have been postulated to be involved in the etiology of diabetic peripheral neuropathy (DPN), but their identity remains mostly unknown. The aim of this study was to conduct a systematic search for genetic variants influencing DPN risk using two well-characterized cohorts. A genome-wide association study (GWAS) testing 6.8 million single nucleotide polymorphisms was conducted among participants of the Action to Control Cardiovascular Risk in Diabetes (ACCORD) clinical trial. Included were 4,384 white case patients with type 2 diabetes (T2D) and prevalent or incident DPN (defined as a Michigan Neuropathy Screening Instrument clinical examination score >2.0) and 784 white control subjects with T2D and no evidence of DPN at baseline or during follow-up. Replication of significant loci was sought among white subjects with T2D (791 DPN-positive case subjects and 158 DPN-negative control subjects) from the Bypass Angioplasty Revascularization Investigation in Type 2 Diabetes (BARI 2D) trial. Association between significant variants and gene expression in peripheral nerves was evaluated in the Genotype-Tissue Expression (GTEx) database. A cluster of 28 SNPs on chromosome 2q24 reached GWAS significance (P < 5 × 10−8) in ACCORD. The minor allele of the lead SNP (rs13417783, minor allele frequency = 0.14) decreased DPN odds by 36% (odds ratio [OR] 0.64, 95% CI 0.55–0.74, P = 1.9 × 10−9). This effect was not influenced by ACCORD treatment assignments (P for interaction = 0.6) or mediated by an association with known DPN risk factors. This locus was successfully validated in BARI 2D (OR 0.57, 95% CI 0.42–0.80, P = 9 × 10−4; summary P = 7.9 × 10−12). In GTEx, the minor, protective allele at this locus was associated with higher tibial nerve expression of an adjacent gene (SCN2A) coding for human voltage-gated sodium channel NaV1.2 (P = 9 × 10−4). To conclude, we have identified and successfully validated a previously unknown locus with a powerful protective effect on the development of DPN in T2D. These results may provide novel insights into DPN pathogenesis and point to a potential target for novel interventions.
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- 2019
26. Additional file 1 of Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci
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Breeze, Charles E., Batorsky, Anna, Lee, Mi Kyeong, Szeto, Mindy D., Xiaoguang Xu, McCartney, Daniel L., Jiang, Rong, Patki, Amit, Kramer, Holly J., Eales, James M., Raffield, Laura, Lange, Leslie, Lange, Ethan, Durda, Peter, Yongmei Liu, Tracy, Russ P., Van Den Berg, David, Evans, Kathryn L., Kraus, William E., Svati Shah, Hermant K. Tiwari, Lifang Hou, Whitsel, Eric A., Jiang, Xiao, Charchar, Fadi J., Baccarelli, Andrea A., Rich, Stephen S., Morris, Andrew P., Irvin, Marguerite R., Arnett, Donna K., Hauser, Elizabeth R., Rotter, Jerome I., Correa, Adolfo, Hayward, Caroline, Horvath, Steve, Marioni, Riccardo E., Tomaszewski, Maciej, Beck, Stephan, Berndt, Sonja I., London, Stephanie J., Josyf C. Mychaleckyj, and Franceschini, Nora
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Additional file 1: Supplementary Figures. Figure S1 to S7. Study design, QQ plots, Manhattan plots, forest plots and eFORGE/FORGE2 analyses.
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- 2021
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27. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline
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Lukas Habegger, Charumathi Sabanayagam, Michael Preuss, Laura M. Raffield, Mary F. Feitosa, Bamidele O. Tayo, Kevin Ho, Leo-Pekka Lyytikäinen, Florian Kronenberg, Valencia Hui Xian Foo, Adrienne Tin, Michael Cantor, Nisha Bansal, Tarunveer S. Ahluwalia, Melanie Waldenberger, Sarah A. Pendergrass, Behrooz Z. Alizadeh, Wolfgang Koenig, Qiong Yang, Xiaodong Bai, Christoph Wanner, Ben Schöttker, Giovanni Coppola, A. R. Shuldiner, Leslie A. Lange, Piyush Gampawar, Markus Scholz, Tien Yin Wong, Mary L. Biggs, Morris Swertz, Alicia Hawes, Girish N. Nadkarni, Christina-Alexandra Schulz, Chiea Chuen Khor, Ricardo H. Ulloa, Jeffrey C. Staples, Miao-Li Chee, Laura M. Yerges-Armstrong, Andrew Blumenfeld, Karlhans Endlich, Bernhard Banas, Bruce H.R. Wolffenbuttel, Kai-Uwe Eckardt, Pavel Hamet, Carsten A. Böger, Harold Snieder, Marcus B. Jones, Judy Wang, Shih-Jen Hwang, Mathias Gorski, Anselm Hoppmann, Josyf C. Mychaleckyj, Bernd Holleczek, Pamela R. Matias-Garcia, Rainer Rettig, Karsten B. Sieber, Manasi Pradhan, Pashupati P. Mishra, Peter Rossing, Matthias Wuttke, Miao-Ling Chee, H. Marike Boezen, Yong Li, M. Arfan Ikram, Jeffrey G. Reid, Teresa Nutile, Maria Sotiropoulos Padilla, Lude Franke, Robert J. Carroll, Luca A. Lotta, Bernhard K. Krämer, Kjell Nikus, Jerome I. Rotter, Thomas Meitinger, Lars Wallentin, Cisca Wijmenga, Kent D. Taylor, Holly Kramer, Louis Widom, Olli T. Raitakari, Marcus E. Kleber, Man Li, Nina Hutri-Kähönen, Massimiliano Cocca, Reinhold Schmidt, John D. Overton, Cristian Pattaro, Michael Lattari, Sarah E. Wolf, Jin-Fang Chai, Karina Toledo, Brigitte Kühnel, Zhenhua Gu, Peter Almgren, Caitlin Forsythe, Yuri Milaneschi, Stephan J. L. Bakker, Layal Chaker, Dawn M. Waterworth, Silke Szymczak, James G. Wilson, Peter J. van der Most, Michelle L. O'Donoghue, William Salerno, Masayuki Yasuda, Sahar Ghasemi, Eric Boerwinkle, Josef Coresh, Ilja M. Nolte, Kia Manoochehri, Konstantin Strauch, Thomas D. Schleicher, Myriam Rheinberger, Audrey Y. Chu, Sanaz Sedaghat, Sandra Freitag-Wolf, Boting Ning, Matthias Nauck, Christina Beechert, Helena Schmidt, Harvey D. White, Nina Mononen, Johanne Tremblay, Navya Shilpa Josyula, Mika Kähönen, Katrin Horn, Andre Franke, Marianne Rots, Bettina Jung, Alexander R. Rosenkranz, Christian M. Shaffer, Mary Ann Lukas, Gerjan Navis, Christian Gieger, John Chalmers, Shareef Khalid, Uwe Völker, Marju Orho-Melander, Iris M. Heid, Brenda W.J.H. Penninx, A. Baras, Alexander Lopez, Evan Maxwell, Ruth J. F. Loos, Erin D. Fuller, Christa Meisinger, Gonçalo R. Abecasis, Suganthi Balasubramanian, Chris H. L. Thio, Martin H. de Borst, Stefan Coassin, Ching-Yu Cheng, Wolfgang Lieb, Kenneth Rice, Alexander Teumer, Mark Woodward, Gisu Eom, Hermann Brenner, Thomas W. Winkler, Anna Köttgen, Edith Hofer, Aris Economides, Ron T. Gansevoort, Pim van der Harst, Lyndon J. Mitnaul, Bruce M. Psaty, Erwin P. Bottinger, Olle Melander, Niek Verweij, Frauke Degenhardt, Yan Zhang, Mohsen Ghanbari, Veronika Wanner, Terho Lehtimäki, Leland Barnard, Tampere University, Primary Health Care, Department of Paediatrics, Clinical Medicine, Department of Clinical Physiology and Nuclear Medicine, Department of Clinical Chemistry, TAYS Heart Centre, Groningen Institute for Organ Transplantation (GIOT), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Department of Marketing Management, Epidemiology, Internal Medicine, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, and APH - Digital Health
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0301 basic medicine ,medicine.medical_specialty ,Genome-wide association study ,030232 urology & nephrology ,Protein Disulfide-Isomerases ,Hasso-Plattner-Institut für Digital Engineering GmbH ,Renal function ,Locus (genetics) ,Biology ,AMP-Activated Protein Kinases ,Kidney ,3121 Internal medicine ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,end-stage kidney disease ,rapid eGFRcrea decline ,Urologi och njurmedicin ,medicine ,Humans ,Urology and Nephrology ,ddc:610 ,Allele ,Genetic association ,Genetics ,Creatinine ,genome-wide association study ,Acute kidney injury ,acute kidney injury ,medicine.disease ,United Kingdom ,ddc ,030104 developmental biology ,chemistry ,Nephrology ,Medical genetics ,3111 Biomedicine ,610 Medizin und Gesundheit ,Glomerular Filtration Rate - Abstract
Rapid decline of glomerular filtration rate estimated from creatinine (eGFRcrea) is associated with severe clinical endpoints. In contrast to cross-sectionally assessed eGFRcrea, the genetic basis for rapid eGFRcrea decline is largely unknown. To help define this, we meta-analyzed 42 genome-wide association studies from the Chronic Kidney Diseases Genetics Consortium and United Kingdom Biobank to identify genetic loci for rapid eGFRcrea decline. Two definitions of eGFRcrea decline were used: 3 mL/min/1.73m(2)/year or more ("Rapid3"; encompassing 34,874 cases, 107,090 controls) and eGFRcrea decline 25% or more and eGFRcrea under 60 mL/min/1.73m(2) at follow-up among those with eGFRcrea 60 mL/min/1.73m(2) or more at baseline ("CKDi25"; encompassing 19,901 cases, 175,244 controls). Seven independent variants were identified across six loci for Rapid3 and/or CKDi25: consisting of five variants at four loci with genome-wide significance (near UMOD-PDILT (2), PRKAG2, WDR72, OR2S2) and two variants among 265 known eGFRcrea variants (near GATM, LARP4B). All these loci were novel for Rapid3 and/or CKDi25 and our bioinformatic follow-up prioritized variants and genes underneath these loci. The OR2S2 locus is novel for any eGFRcrea trait including interesting candidates. For the five genome-wide significant lead variants, we found supporting effects for annual change in blood urea nitrogen or cystatin-based eGFR, but not for GATM or (LARP4B). Individuals at high compared to those at low genetic risk (8-14 vs. 0-5 adverse alleles) had a 1.20-fold increased risk of acute kidney injury (95% confidence interval 1.08-1.33). Thus, our identified loci for rapid kidney function decline may help prioritize therapeutic targets and identify mechanisms and individuals at risk for sustained deterioration of kidney function., Zweitveröffentlichungen der Universität Potsdam : Reihe der Digital Engineering Fakultät; 19
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- 2021
28. Association of Coding Variants in Hydroxysteroid 17-beta Dehydrogenase 14 (
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Josyf C, Mychaleckyj, Erkka, Valo, Takaharu, Ichimura, Tarunveer S, Ahluwalia, Christian, Dina, Rachel G, Miller, Ivan G, Shabalin, Beata, Gyorgy, JingJing, Cao, Suna, Onengut-Gumuscu, Eiichiro, Satake, Adam M, Smiles, Jani K, Haukka, David-Alexandre, Tregouet, Tina, Costacou, Kristina, O'Neil, Andrew D, Paterson, Carol, Forsblom, Hillary A, Keenan, Marcus G, Pezzolesi, Marlon, Pragnell, Andrzej, Galecki, Stephen S, Rich, Niina, Sandholm, Ronald, Klein, Barbara E, Klein, Katalin, Susztak, Trevor J, Orchard, Ron, Korstanje, George L, King, Samy, Hadjadj, Peter, Rossing, Joseph V, Bonventre, Per-Henrik, Groop, James H, Warram, and Andrzej S, Krolewski
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Adult ,Male ,17-Hydroxysteroid Dehydrogenases ,Gene Expression ,Genetic Variation ,Middle Aged ,Kidney Tubules, Proximal ,Survival Rate ,Mice ,Diabetes Mellitus, Type 1 ,Case-Control Studies ,Reperfusion Injury ,Up Front Matters ,Disease Progression ,Animals ,Humans ,Kidney Failure, Chronic ,Diabetic Nephropathies ,Exome ,Female ,Protein Structural Elements ,Retrospective Studies - Abstract
Rare variants in gene coding regions likely have a greater impact on disease-related phenotypes than common variants through disruption of their encoded protein. We searched for rare variants associated with onset of ESKD in individuals with type 1 diabetes at advanced kidney disease stage.Gene-based exome array analyses of 15,449 genes in five large incidence cohorts of individuals with type 1 diabetes and proteinuria were analyzed for survival time to ESKD, testing the top gene in a sixth cohort (Protein coding variants in the hydroxysteroid 17
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- 2020
29. Genetic Landscape of Gullah African Americans
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Uma Nayak, Lee H Moultrie, Carl D. Langefeld, Gary S. Gilkeson, Melinda C. Aldrich, Keith L. Keene, Kip D. Zimmerman, Michèle M. Sale, Ida J. Spruill, Paula S. Ramos, Queen Quet, Theodore G. Schurr, Jasmin Divers, Josyf C. Mychaleckyj, W. Timothy Garvey, Wei-Min Chen, Jyotika K. Fernandes, Diane L. Kamen, Kelly J. Hunt, and David Reich
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0106 biological sciences ,Male ,African american population ,demography ,Genotype ,Geographic isolation ,Demographic history ,Genetic genealogy ,Population structure ,Population ,Black People ,010603 evolutionary biology ,01 natural sciences ,Sierra leone ,West Africa ,Humans ,0601 history and archaeology ,education ,Research Articles ,education.field_of_study ,060101 anthropology ,Native american ,ancestry ,06 humanities and the arts ,slavery ,Black or African American ,Europe ,Geography ,Anthropology ,Africa ,Genetic structure ,admixture ,Ethnology ,Anatomy ,Research Article - Abstract
ObjectivesGullah African Americans are descendants of formerly enslaved Africans living in the Sea Islands along the coast of the southeastern U.S., from North Carolina to Florida. Their relatively high numbers and geographic isolation were conducive to the development and preservation of a unique culture that retains deep African features. Although historical evidence supports a West and Central African ancestry for the Gullah, linguistic and cultural evidence of a connection to Sierra Leone has led to the suggestion of this country/region as their ancestral home. This study sought to elucidate the genetic structure and ancestry of the Gullah.Materials and MethodsWe leveraged whole-genome genotype data from Gullah, African Americans from Jackson, Mississippi, Sierra Leone Africans, and population reference panels from Africa and Europe, to infer population structure, ancestry proportions, and global estimates of admixture.ResultsRelative to southeastern non-Gullah African Americans, the Gullah exhibit higher mean African ancestry, lower European admixture, a similarly small Native American contribution, and stronger male-biased European admixture. A slightly tighter bottleneck in the Gullah 13 generations ago suggests a largely shared demographic history with non-Gullah African Americans. Despite a slightly higher relatedness to Sierra Leone, our data demonstrate that the Gullah are genetically related to many West African populations.DiscussionThis study confirms that subtle differences in African American population structure exist at finer regional levels. Such observations can help to inform medical genetics research in African Americans, and guide the interpretation of genetic data used by African Americans seeking to explore ancestral identities.Research HighlightsUsing genomic data, we show that the Gullah have lower European and higher West African genomic background compared to non-Gullah African Americans, confirming their diverse African ancestry and rejecting a model that asserts a predominant Sierra Leone origin.Our data reveal a largely shared demographic history with southeastern non-Gullah African Americans, but also subtle differences related to high African genetic ancestry due to isolation in the Sea Islands.
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- 2020
30. Association of APOL1 Genotypes With Measures of Microvascular and Endothelial Function, and Blood Pressure in MESA
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Michelle M. Estrella, Bamidele O. Tayo, Christina L. Wassel, Carmen A. Peralta, Jerome I. Rotter, Teresa K. Chen, Ronit Katz, Josyf C. Mychaleckyj, Holly Kramer, and Wendy S. Post
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Male ,Aging ,Kidney Disease ,Outcome Assessment ,Apolipoprotein L1 ,Epidemiology ,030232 urology & nephrology ,Blood Pressure ,030204 cardiovascular system & hematology ,Cardiorespiratory Medicine and Haematology ,Cardiovascular ,Gastroenterology ,0302 clinical medicine ,Risk Factors ,Genotype ,Outcome Assessment, Health Care ,Ethnicity ,2.1 Biological and endogenous factors ,Aetiology ,APOL1 ,Original Research ,Kidney ,biology ,medicine.diagnostic_test ,Arteries ,Middle Aged ,medicine.anatomical_structure ,arterial stiffness ,Female ,Kidney Diseases ,Cardiology and Cardiovascular Medicine ,medicine.medical_specialty ,apolipoprotein L1 ,Race and Ethnicity ,hypertension ,03 medical and health sciences ,Clinical Research ,Internal medicine ,Vascular ,Biopsy ,medicine ,Genetics ,Humans ,Endothelium ,Aged ,business.industry ,Prevention ,medicine.disease ,Atherosclerosis ,United States ,Health Care ,Increased risk ,Blood pressure ,Cross-Sectional Studies ,Case-Control Studies ,biology.protein ,Arterial stiffness ,Endothelium, Vascular ,business ,Kidney disease - Abstract
Background APOL1 high‐risk genotypes are associated with increased risk for hypertension‐attributed kidney disease among Black adults in the United States. Biopsy studies show differences in kidney vasculature by APOL1 status; less is known about the variants' associations with systemic vascular and endothelial function. Whether APOL1 risk variants are associated with blood pressure (BP) is also uncertain. Methods and Results Using linear regression, we examined cross‐sectional associations of APOL1 risk genotypes (high=2 risk alleles, low=0 or 1 risk allele) with subclinical measures of vascular function (small arterial elasticity, n=1586; large arterial elasticity, n=1586; ascending aortic distensibility, n=985) and endothelial function (flow‐mediated dilation, n=777). Using linear mixed‐effects models, we studied longitudinal associations of APOL1 risk genotypes with BP (n=1619), adjusting for age, sex, and African ancestry. Among 1619 (12% APOL1 high‐risk) Black participants in MESA (Multi‐Ethnic Study of Atherosclerosis), mean age was 62 years old, 58% had hypertension, and mean systolic BP was 131 mm Hg at baseline. At examination 1 (2000–2002), there was no significant difference in small arterial elasticity, large arterial elasticity, ascending aortic distensibility, or flow‐mediated dilation in participants with APOL1 high‐ versus low‐risk genotypes ( P >0.05 for all). Over a mean follow‐up of 7.8 years, relative annual changes in systolic and diastolic BP and pulse pressure did not differ significantly by APOL1 risk status (between‐group differences of −0.20, −0.14, and −0.25, respectively; P >0.05 for all). Conclusions Among Black participants in MESA, APOL1 high‐risk genotypes were not associated with subclinical vascular and endothelial function or BP trajectories. The relationship of APOL1 with kidney disease may be intrinsic to the kidney rather than through peripheral effects on systemic vasculature or BP.
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- 2020
31. Genome-Wide Association Study of Cryptosporidiosis in Infants Implicates
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Patrick Concannon, A. S. G. Faruque, Priya Duggal, Beth D. Kirkpatrick, Poonum S. Korpe, Rashidul Haque, Chelsea Marie, Alexander J. Mentzer, Stephen S. Rich, Genevieve L. Wojcik, William A. Petri, Tommy Carstensen, Josyf C. Mychaleckyj, Mentzer, Alexander J [0000-0002-4502-2209], and Apollo - University of Cambridge Repository
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Male ,Pediatrics ,Cryptosporidiosis ,Genome-wide association study ,Disease ,Feces ,Risk Factors ,genetics ,Prospective Studies ,genome analysis ,2. Zero hunger ,0303 health sciences ,education.field_of_study ,Bangladesh ,biology ,1. No poverty ,Cryptosporidium ,QR1-502 ,3. Good health ,Diarrhea ,Cohort ,Female ,Disease Susceptibility ,medicine.symptom ,Research Article ,medicine.medical_specialty ,Protein Kinase C-alpha ,Population ,Single-nucleotide polymorphism ,Microbiology ,Polymorphism, Single Nucleotide ,Host-Microbe Biology ,03 medical and health sciences ,Meta-Analysis as Topic ,Virology ,medicine ,Humans ,education ,030304 developmental biology ,030306 microbiology ,business.industry ,Genome, Human ,Infant, Newborn ,Infant ,medicine.disease ,biology.organism_classification ,Malnutrition ,business ,Genome-Wide Association Study - Abstract
Globally, diarrhea remains one of the major causes of pediatric morbidity and mortality. The initial symptoms of diarrhea can often lead to long-term consequences for the health of young children, such as malnutrition and neurocognitive developmental deficits. Despite many children having similar exposures to infectious causes of diarrhea, not all develop symptomatic disease, indicating a possible role for human genetic variation. Here, we conducted a genetic study of susceptibility to symptomatic disease associated with Cryptosporidium infection (a leading cause of diarrhea) in three independent cohorts of infants from Dhaka, Bangladesh. We identified a genetic variant within protein kinase C alpha (PRKCA) associated with higher risk of cryptosporidiosis in the first year of life. These results indicate a role for human genetics in susceptibility to cryptosporidiosis and warrant further research to elucidate the mechanism., Diarrhea is a major cause of both morbidity and mortality worldwide, especially among young children. Cryptosporidiosis is a leading cause of diarrhea in children, particularly in South Asia and sub-Saharan Africa, where it is responsible for over 200,000 deaths per year. Beyond the initial clinical presentation of diarrhea, it is associated with long-term sequelae such as malnutrition and neurocognitive developmental deficits. Risk factors include poverty and overcrowding, and yet not all children with these risk factors and exposure are infected, nor do all infected children develop symptomatic disease. One potential risk factor to explain these differences is their human genome. To identify genetic variants associated with symptomatic cryptosporidiosis, we conducted a genome-wide association study (GWAS) examining 6.5 million single nucleotide polymorphisms (SNPs) in 873 children from three independent cohorts in Dhaka, Bangladesh, namely, the Dhaka Birth Cohort (DBC), the Performance of Rotavirus and Oral Polio Vaccines in Developing Countries (PROVIDE) study, and the Cryptosporidiosis Birth Cohort (CBC). Associations were estimated separately for each cohort under an additive model, adjusting for length-for-age Z-score at 12 months of age, the first two principal components to account for population substructure, and genotyping batch. The strongest meta-analytic association was with rs58296998 (P = 3.73 × 10−8), an intronic SNP and expression quantitative trait locus (eQTL) of protein kinase C alpha (PRKCA). Each additional risk allele conferred 2.4 times the odds of Cryptosporidium-associated diarrhea in the first year of life. This genetic association suggests a role for protein kinase C alpha in pediatric cryptosporidiosis and warrants further investigation.
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- 2020
32. Population sequencing data reveal a compendium of mutational processes in human germline
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Josyf C. Mychaleckyj, Timothy D. O’Connor, Eric Boerwinkle, Yii-Der Ida Chen, Chii-Min Hwu, John Blangero, D. C. Rao, Patricia A. Peyser, Susan Redline, Shamil R. Sunyaev, Christian Gilissen, Esteban G. Burchard, Jerome I. Rotter, Ryan D. Hernandez, Braxton D. Mitchell, Courtney G. Montgomery, Stephen T. McGarvey, Sharon L.R. Kardia, Jakob M. Goldmann, Kathleen C. Barnes, Lisa de las Fuentes, Lawrence F. Bielak, Jiang He, Patrick T. Ellinor, Jennifer A. Smith, Peter V. Kharchenko, Ani Manichaikul, Wendy S.W. Wong, Adolfo Correa, Vladimir B. Seplyarskiy, Donna K. Arnett, Scott T. Weiss, Ruslan A. Soldatov, Edwin K. Silverman, Nicholette D. Palmer, Ryan J. McGinty, Stephen S. Rich, Leslie S. Emery, Vasan S. Ramachandran, and Jennifer A. Brody
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Whole genome sequencing ,0303 health sciences ,Replication timing ,Mutation rate ,education.field_of_study ,DNA damage ,Population ,Computational biology ,Biology ,Genome ,Germline ,03 medical and health sciences ,0302 clinical medicine ,Germline mutation ,education ,030217 neurology & neurosurgery ,030304 developmental biology - Abstract
Mechanistic processes underlying human germline mutations remain largely unknown. Variation in mutation rate and spectra along the genome is informative about the biological mechanisms. We statistically decompose this variation into separate processes using a blind source separation technique. The analysis of a large-scale whole genome sequencing dataset (TOPMed) reveals nine processes that explain the variation in mutation properties between loci. Seven of these processes lend themselves to a biological interpretation. One process is driven by bulky DNA lesions that resolve asymmetrically with respect to transcription and replication. Two processes independently track direction of replication fork and replication timing. We identify a mutagenic effect of active demethylation primarily acting in regulatory regions. We also demonstrate that a recently discovered mutagenic process specific to oocytes can be localized solely from population sequencing data. This process is spread across all chromosomes and is highly asymmetric with respect to the direction of transcription, suggesting a major role of DNA damage.
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- 2020
33. PPARA polymorphism influences the cardiovascular benefit of fenofibrate in type 2 diabetes: findings from accord-lipid
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Ronald J. Sigal, Hannah Campbell, Guillaume Paré, Peter Kraft, Hetal Shah, Luana Mercuri, Elisabetta Patorno, Emily Y. Chew, Vincenzo Trischitta, Petra A. Lenzini, Marcus G. Pezzolesi, Alessandro Doria, Daniel M. Rotroff, Alison A. Motsinger-Reif, Santica M. Marcovina, He Gao, Josyf C. Mychaleckyj, Henry N. Ginsberg, Mario Luca Morieri, Laura C. Lovato, Sharon Cresci, Assunta Pandolfi, Sabrina Prudente, John B. Buse, Hertzel C. Gerstein, Michael J. Wagner, and Jennifer Sjaarda
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0301 basic medicine ,medicine.medical_specialty ,cardiovascular disease ,fenofibrate ,diabetes ,medicine.drug_class ,Endocrinology, Diabetes and Metabolism ,030209 endocrinology & metabolism ,Fibrate ,Type 2 diabetes ,Placebo ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Internal Medicine ,medicine ,PPARA Gene ,CCL11 ,Fenofibrate ,business.industry ,Genetics/Genomes/Proteomics/Metabolomics ,medicine.disease ,030104 developmental biology ,Endocrinology ,Simvastatin ,business ,Mace ,medicine.drug - Abstract
The cardiovascular benefits of fibrates have been shown to be heterogeneous and to depend on the presence of atherogenic dyslipidemia. We investigated whether genetic variability in the PPARA gene, coding for the pharmacological target of fibrates (PPAR-alpha), could be used to improve the selection of patients with type 2 diabetes who may derive cardiovascular benefit from addition of this treatment to statins. We identified a common variant at the PPARA locus (rs6008845, C/T) displaying a study-wide-significant influence on the effect of fenofibrate on major cardiovascular events (MACE) among 3,065 self-reported White subjects treated with simvastatin and randomized to fenofibrate or placebo in the Action-to-Control-Cardiovascular-Risk-in-Diabetes (ACCORD) Lipid Trial. T/T homozygotes (36% of participants) experienced a 51% MACE reduction in response to fenofibrate (HR=0.49; 95%C.I. 0.34-0.72) whereas no benefit was observed for other genotypes (p for interaction=3.7x10-4). The “rs6008845-by-fenofibrate” interaction on MACE was replicated in African-Americans from ACCORD (N=585, p=0.02) and in external cohorts (ACCORD-Blood-Pressure, ORIGIN, and TRIUMPH, total N=3059, p=0.005). Remarkably, rs6008845 T/T homozygotes experienced a cardiovascular benefit from fibrate even in the absence of atherogenic dyslipidemia. Among these individuals, but not among carriers of other genotypes, fenofibrate treatment was associated with lower circulating levels of CCL11 - a pro-inflammatory and atherogenic chemokine also known as eotaxin (p for rs6008845-by-fenofibrate interaction=0.003). The Genotype-Tissue Expression (GTEx) dataset revealed regulatory functions of rs6008845 on PPARA expression in many tissues. In summary, we have found a common PPARA regulatory variant that influences the cardiovascular effects of fenofibrate and that could be used to identify T2D patients who would derive benefit from fenofibrate treatment, in addition to those with atherogenic dyslipidemia.
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- 2020
34. Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries
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Cashell E. Jaquish, Craig P. Hersh, Emily Barron-Casella, Larry Phillips, James S. Pankow, JoAnn E. Manson, Mariza de Andrade, Vivien A. Sheehan, Norann A. Zaghloul, Yongmei Liu, Sergei Nekhai, Russell P. Tracy, Bruce S. Weir, Pankaj Qasba, Adrienne M. Stilp, Tasha E. Fingerlin, Heather M. Ochs-Balcom, L. Adrienne Cupples, Rongze Yang, David A. Schwartz, Shannon Kelly, Scott E. Devine, Tanja Smith, G.L. Kinney, Beverly Snively, Kent D. Taylor, Manolis Kellis, Ruth J. F. Loos, Seth A. Ament, Kathleen C. Barnes, Robert C. Kaplan, Ulrich Broeckel, Hemant K. Tiwari, Karin F. Hoth, Peter Durda, Julie L. Mikulla, Charles B. Eaton, Cotton Seed, Merry Lynn McDonald, Eric Boerwinkle, Josh Smith, Honghuang Lin, Ingrid B. Borecki, Jeffrey L. Curtis, Emelia J. Benjamin, Kenneth Rice, Sharon L.R. Kardia, Nicholas L. Smith, Coleen M. Damcott, Jeffrey Haessler, Kimberly L. Jones, Elaine Cornell, Nona Sotoodehnia, Adolfo Correa, Rich Johnston, C. Charles Gu, Chii Min Hwu, Peter C. Anderson, Lesley F. Tinker, Colleen Davis, R. Graham Barr, Scott T. Weiss, Leanna Farnam, Chao Hsiung, Brian Silver, Patrick F. McArdle, Lisa W. Martin, Yii-Der Ida Chen, John Barnard, Holly Kramer, Sekar Kathiresan, Gonçalo R. Abecasis, Barry Make, Michael C. Mahaney, Marco V Perez, Donna K. Arnett, Mark Chaffin, Xiuqing Guo, Joshua C. Bis, Pamela Russell, Paul L. Auer, James G. Wilson, Marilyn J. Telen, David K. Levine, Jennifer A. Smith, Christopher Scheller, Meher Preethi Boorgula, Aakrosh Ratan, Kari E. North, Dan E. Arking, Elizabeth A. Regan, Margaret G. Parker, Andres Metspalu, Jai G. Broome, Daniel Taliun, Lynette Ekunwe, Alyna T. Khan, Hao Mei, Dhananjay Vaidya, Ellen M. Schmidt, Stanford Mwasongwe, Joshua P. Lewis, Stacey Gabriel, Christine E. Seidman, Margery Gass, Deborah A. Nickerson, Nicola L. Hawley, Rebecca L. Beer, Afshin Parsa, Steven L. Salzberg, Terri H. Beaty, Stella Aslibekyan, Girish N. Nadkarni, Wei Zhao, David L. Tirschwell, Karen Bunting, Dawn L. DeMeo, Laura J. Rasmussen-Torvik, Julia Powers Becker, Dmitry Prokopenko, Karen Schwander, Bruce D. Gelb, Stephanie Krauter, Laura M. Raffield, Michael E. Hall, Frank C. Sciurba, Lauren Margolin, Nora Franceschini, Daniel N. Harris, Seyedeh M. Zekavat, Dawood Darbar, Keng-Han Lin, Haley Huston, Steven A. Lubitz, Andrea Ganna, Carole Sztalryd, Cathy C. Laurie, Christy Chang, James E. Hixson, Steven A. McCarroll, Barbara A. Konkle, Michael D. Kessler, Scott I. Vrieze, Yingze Zhang, Sarah Ruuska, George J. Papanicolaou, Weiniu Gan, Maris Alver, Elizabeth A. Streeten, Fei Fei Wang, Lu-Chen Weng, Braxton D. Mitchell, Lee-Ming Chuang, Sean P. David, Wei-Min Chen, Susan R. Heckbert, Ryan D. Hernandez, Andrew D. Johnson, Cristen J. Willer, Ani Manichaikul, Jonathan M. Bloom, Timothy D. O’Connor, Sylvia Smoller, Marguerite R. Irvin, Seung Hoan Choi, Ida Surakka, Veikko Salomaa, Diane M. Becker, Ron Do, W. Craig Johnson, Cecelia A. Laurie, Meryl S. LeBoff, Aniket Shetty, Tõnu Esko, Michael C. Zody, Xiaoqi Geng, Da Wei Gong, Snow Xueyan Zhao, Esteban G. Burchard, Xiuwen Zheng, Cara L. Carty, Alexander P. Reiner, Tim Assimes, Deborah A. Meyers, Mina K. Chung, Harald H H Göring, Benjamin M. Neale, Pradeep Natarajan, Yan Gao, Stephen S. Rich, Yun Ju Sung, Susan K. Dutcher, Ferdouse Begum, Stephanie M. Gogarten, John Blangero, Jonathan Cardwell, Kayleen Williams, Rakhi P. Naik, Amol C. Shetty, Sayantan Das, Myriam Fornage, May E. Montasser, Michelle Daya, Edwin K. Silverman, Daniel E. Weeks, Laura J. Kaufman, Dimitrios Avramopoulos, Michael Y. Tsai, Christine M. Albert, Vijay G. Sankaran, Jeffrey R. O'Connell, Thomas W. Blackwell, Stephen T. McGarvey, Robert M. Reed, Leslie A. Lange, Qing Duan, Bruce M. Psaty, Leslie S. Emery, Bertha Hidalgo, Jennifer A. Brody, L. Keoki Williams, Soren Germer, Zhaohui S. Qin, Deepti Jain, Deborah Applebaum-Bowden, Carla Wilson, Degui Zhi, Christoph Lange, Elliott Hong, L.F. Bielak, Wen Jane Lee, Yue Guan, Tarik Walker, Rebecca D. Jackson, Charles R. Farber, Mark J. Daly, Stephanie M. Fullerton, John E. Hokanson, Karol E. Watson, James Luo, Richard Casaburi, Seunggeun Lee, Jill M. Johnsen, Margaret A. Taub, Ryan L. Minster, Ravi Duggirala, Susan K. Mathai, Yun Li, Quenna Wong, Matthew Flickinger, Huichun Xu, Susan Redline, Ulrike Peters, Ivana V. Yang, Jesse M. Engreitz, Sanni Ruotsalainen, Sean K. McFarland, Avram D Walts, Patricia A. Peyser, Allison E. Ashley-Koch, Lewis C. Becker, Nicholette Palmer Allred, James A. Perry, Jody S. Sylvia, Tamar Sofer, Vasan S. Ramachandran, Laura Almasy, Matthew J. Budoff, Ranjan Deka, David M. Herrington, Simeon I. Taylor, Daniel Levy, Chaojie Yang, Sameer Chavan, Kathleen A. Ryan, Josyf C. Mychaleckyj, Ingo Ruczinski, Sebastian Zoellner, Michael Preuss, Tim Poterba, Wendy S. Post, Amber L. Beitelshees, Ben Heavner, Carolina Roselli, Namiko Abe, Jonathon LeFaive, Mark T. Gladwin, Brian Custer, Robert B. Wallace, Simin Liu, Michael H. Cho, Robert E. Handsaker, Dabeeru C. Rao, Bo Juen Chen, Wayne Hui Heng Sheu, Xiang Zhou, Marcos Bezerra, Solomon K. Musani, Eimear E. Kenny, James F. Casella, Kathryn L. Lunetta, Nancy Min, Nicholas Rafaels, Lisa R. Yanek, Min A. Jhun, David C. Glahn, Rasika A. Mathias, Mollie A. Minear, Russell P. Bowler, Jason Ernst, Carolyn J. Crandall, Sara Penchev, Alvaro Alonso, Timothy A. Thornton, Toni I. Pollin, Charles Kooperberg, Ethan M. Lange, Juan M. Peralta, Pramod Anugu, Lucinda Fulton, Adam A. Szpiro, Michael R. DeBaun, M. Benjamin Shoemaker, Sam Phillips, Dan M. Roden, Mao Fu, Daniel I. Chasman, James D. Crapo, Hua Tang, Gina M. Peloso, Hyun Min Kang, Samuli Ripatti, Phuwanat Sakornsakolpat, Christopher R. Gignoux, Peter VandeHaar, Jerome I. Rotter, Dandi Qiao, Emily S. Wan, Shabnam Salimi, Kevin Sandow, Jiang He, Patrick T. Ellinor, Joanne E. Curran, Institute for Molecular Medicine Finland, Samuli Olli Ripatti / Principal Investigator, University of Helsinki, Centre of Excellence in Complex Disease Genetics, Clinicum, Doctoral Programme in Population Health, Department of Public Health, and Complex Disease Genetics
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0301 basic medicine ,Apolipoprotein B ,General Physics and Astronomy ,Gene Expression ,Genome-wide association study ,030204 cardiovascular system & hematology ,Cardiovascular ,Lipoprotein particle ,chemistry.chemical_compound ,0302 clinical medicine ,Risk Factors ,GENETIC-VARIANTS ,2.1 Biological and endogenous factors ,WIDE ASSOCIATION ,Aetiology ,lcsh:Science ,African Continental Ancestry Group ,Genetics ,Multidisciplinary ,Genome ,biology ,CHOLESTEROL ,Adaptor Proteins ,Lipoprotein(a) ,Single Nucleotide ,NHLBI TOPMed Lipids Working Group ,3142 Public health care science, environmental and occupational health ,3. Good health ,Cholesterol ,Heart Disease ,Cardiovascular Diseases ,CARDIOVASCULAR-DISEASE ,RARE VARIANTS ,lipids (amino acids, peptides, and proteins) ,LOW-FREQUENCY ,Human ,DNA Copy Number Variations ,Science ,Quantitative Trait Loci ,European Continental Ancestry Group ,Black People ,POPULATION-SCALE ,Quantitative trait locus ,Article ,White People ,General Biochemistry, Genetics and Molecular Biology ,LDL ,Structural variation ,03 medical and health sciences ,COMPONENTS-ANALYSIS ,RISK-FACTOR ,Humans ,CORONARY-HEART-DISEASE ,Polymorphism ,Whole Genome Sequencing ,Prevention ,Human Genome ,General Chemistry ,Atherosclerosis ,Vesicular Transport ,Good Health and Well Being ,030104 developmental biology ,chemistry ,biology.protein ,lcsh:Q ,3111 Biomedicine ,Lipoprotein ,Genome-Wide Association Study - Abstract
Lipoprotein(a), Lp(a), is a modified low-density lipoprotein particle that contains apolipoprotein(a), encoded by LPA, and is a highly heritable, causal risk factor for cardiovascular diseases that varies in concentrations across ancestries. Here, we use deep-coverage whole genome sequencing in 8392 individuals of European and African ancestry to discover and interpret both single-nucleotide variants and copy number (CN) variation associated with Lp(a). We observe that genetic determinants between Europeans and Africans have several unique determinants. The common variant rs12740374 associated with Lp(a) cholesterol is an eQTL for SORT1 and independent of LDL cholesterol. Observed associations of aggregates of rare non-coding variants are largely explained by LPA structural variation, namely the LPA kringle IV 2 (KIV2)-CN. Finally, we find that LPA risk genotypes confer greater relative risk for incident atherosclerotic cardiovascular diseases compared to directly measured Lp(a), and are significantly associated with measures of subclinical atherosclerosis in African Americans., Circulating lipoprotein(a) is an important risk factor for cardiovascular disease and shows variability between different ethnic groups. Here, Zekavat et al. perform whole-genome sequencing in individuals of European and African ancestries and find ancestry-specific genetic determinants for lipoprotein(a) levels.
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- 2018
35. Histo–Blood Group Antigen Phenotype Determines Susceptibility to Genotype-Specific Rotavirus Infections and Impacts Measures of Rotavirus Vaccine Efficacy
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Benjamin, Lee, Dorothy M, Dickson, Allan C, deCamp, E, Ross Colgate, Sean A, Diehl, Muhammad Ikhtear, Uddin, Salma, Sharmin, Shahidul, Islam, Taufiqur Rahman, Bhuiyan, Masud, Alam, Uma, Nayak, Josyf C, Mychaleckyj, Mami, Taniuchi, William A, Petri, Rashidul, Haque, Firdausi, Qadri, and Beth D, Kirkpatrick
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Diarrhea ,Bangladesh ,Genotype ,Errata ,Rotavirus Vaccines ,Infant ,vaccine efficacy ,Vaccines, Attenuated ,vaccination ,Rotavirus Infections ,secretor ,Major Articles and Brief Reports ,fluids and secretions ,rotavirus ,Lewis ,Viruses ,Blood Group Antigens ,Humans - Abstract
Background Lewis and secretor histo–blood group antigens (HBGAs) have been associated with decreased susceptibility to P[8] genotype rotavirus (RV) infections. Efficacy of vaccines containing attenuated P[8] strains is decreased in low-income countries. Host phenotype might impact vaccine efficacy (VE) by altering susceptibility to vaccination or RV diarrhea (RVD). We performed a substudy in a monovalent RV vaccine (RV1) efficacy trial in Bangladesh to determine the impact of Lewis and secretor status on risk of RVD and VE. Methods In infants randomized to receive RV1 or no RV1 at 10 and 17 weeks with 1 year of complete active diarrheal surveillance, we performed Lewis and secretor phenotyping and genotyped the infecting strain of each episode of RVD. Results A vaccine containing P[8] RV protected secretors and nonsecretors similarly. However, unvaccinated nonsecretors had a reduced risk of RVD (relative risk, 0.53 [95% confidence interval, .36–.79]) mediated by complete protection from P[4] but not P[8] RVs. This effect reduced VE in nonsecretors to 31.7%, compared to 56.2% among secretors, and decreased VE for the overall cohort. Conclusions Host HBGA status may impact VE estimates by altering susceptibility to RV in unvaccinated children; future trials should therefore account for HBGA status. Clinical Trials Registration NCT01375647., Histo–blood group antigens were associated with genotype-specific susceptibility to rotavirus infections. Nonsecretors were at decreased risk of P[4] infections, while Lewis-negative children were at increased risk of P[6] infections. These effects may impact oral rotavirus vaccine efficacy estimates.
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- 2018
36. Associations of autozygosity with a broad range of human phenotypes
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Dennis O. Mook-Kanamori, Salma M. Wakil, Lisa R. Yanek, Dominique P.V. de Kleijn, Gert J. de Borst, Alison D. Murray, Kamran Guity, Vincent W. V. Jaddoe, Mario Pirastu, Carole Ober, Giuseppe Matullo, Charles N. Rotimi, Daniela Ruggiero, Teresa Tusié-Luna, Wolfgang Lieb, Chew-Kiat Heng, John R. B. Perry, Hortensia Moreno-Macías, Jie Zhou, John M. Starr, Juhani Junttila, Lei Yu, Danielle Posthuma, Marcus Dörr, Yingchang Lu, Jonathan P. Bradfield, Einat Granot-Hershkovitz, Karina Meidtner, Wouter van Rheenen, T Esko, Maris Alver, Wen-Jane Lee, Zhengming Chen, Jennifer A. Brody, Paolo Gasparini, Yii-Der Ida Chen, Cinzia Sala, Peter P. Pramstaller, Gauri Prasad, Nana Matoba, Natalie Terzikhan, Simonetta Guarrera, Bjarke Feenstra, Peter Vollenweider, Smeeta Shrestha, Yi-Jen Hung, Lilja Stefansdottir, David R. Weir, Felix R. Day, Antonietta Robino, Liang Zhang, Lluis Quintana-Murci, Nicholas J. Timpson, Robyn E Wootton, Xue W. Mei, Dharambir K. Sanghera, Gisli Masson, Debbie A Lawlor, Thomas Meitinger, Sharon L.R. Kardia, Peter K. Joshi, Frank J. A. van Rooij, Claude Bouchard, Cassandra N. Spracklen, Ken K. Ong, Taulant Muka, Guanjie Chen, Laura J. Scott, Walter Palmas, Daniel I. Chasman, Sarah E. Medland, Krista Fischer, Blair H. Smith, Jon K. Sigurdsson, Leon Straker, Clara Viberti, Yuan Shi, Louis Pérusse, Peter J. van der Most, Timo Tõnis Sikka, Chris Haley, Kuang Lin, Leif Groop, Hester M. den Ruijter, Hakon Hakonarson, Masato Akiyama, Stephan J. L. Bakker, Sonja I. Berndt, Jeffery R. O'Connell, Cisca Wijmenga, Daniele Cusi, Lorena Orozco, Kristjan H. S. Moore, Kevin Sandow, Stephen S. Rich, Stephanie J. Loomis, George Davey Smith, Cornelia M. van Duijn, Sharvari Rahul Shukla, Agnar Helgason, Thorsten Kessler, Anuj Goel, Dan Mason, David W. Clark, James S. Pankow, Simona Vaccargiu, Uwe Völker, Tamara B. Harris, Matthew A. Allison, Clicerio Gonzalez, Sarju Ralhan, I-Te Lee, Matthias Laudes, Yen-Feng Chiu, Neil Poulter, Benjamin Lehne, John Wright, Lawrence F. Bielak, Philip L. De Jager, Reinhold Schmidt, Ya Xing Wang, Matthias Nauck, Diana L. Cousminer, Patrick Deelen, Ani Manichaikul, Stephen J. Chanock, Anders Hamsten, Barry I. Freedman, Gudmar Thorleifsson, Peter Kraft, Ozren Polasek, Jie Yao, Yoshinori Murakami, Paul M. Ridker, Anubha Mahajan, Struan F.A. Grant, Claudia Schurmann, Bjarni Gunnarsson, Catriona L. K. Barnes, Jessica van Setten, Sandosh Padmanabhan, Alena Stančáková, Markus M. Lerch, Anuradha Jagadeesan, Franco Giulianini, Daniel F. Gudbjartsson, Dwaipayan Bharadwaj, Shengchao Alfred Li, Peter S. Sever, Trevor A. Mori, Albertine J. Oldehinkel, Koichi Matsuda, Xueling Sim, Evangelos Evangelou, André G. Uitterlinden, Pekka Jousilahti, Yukihide Momozawa, Ioanna Tzoulaki, Chao A. Hsiung, Ginevra Biino, Murielle Bochud, Hannele Mattsson, Ilja M. Nolte, Sarah H. Wild, Patricia B. Munroe, Jianjun Liu, Bruce M. Psaty, Giriraj R. Chandak, Masahiro Kanai, Tony R. Merriman, Teemu Palviainen, Rodney A. Lea, Janie Corley, Nicholas J. Wareham, Alan B. Zonderman, Makoto Hirata, Matthew J. Bixley, Caroline Hayward, Nora Franceschini, Kristel R van Eijk, Etienne Patin, Daniel Shriner, Niek Verweij, Xiuqing Guo, Fredrik Karpe, Ruth J. F. Loos, Tiinamaija Tuomi, Ashley van der Spek, Patricia A. Peyser, Jessica D. Faul, Christian Fuchsberger, David Cesarini, Alex S. F. Doney, Janine F. Felix, Cornelius A. Rietveld, Jagadish Vangipurapu, Tanguy Corre, Line Skotte, Rajkumar Dorajoo, Catherine Igartua, Meena Kumari, Nona Sotoodehnia, Leonard H. van den Berg, Najaf Amin, Dale R. Nyholt, Harry Campbell, Massimiliano Cocca, Scott D. Gordon, Patrik K. E. Magnusson, John C. Chambers, Traci M. Bartz, Mike A. Nalls, Tin Aung, Nduna Dzimiri, Colin N. A. Palmer, Rob M. van Dam, Johanna Kuusisto, Russell P. Tracy, Anna Damulina, Pierre-Emmanuel Morange, Sylvain Foisy, Jing Hua Zhao, Nicholas G. Martin, Ching-Yu Cheng, Mariaelisa Graff, Rashmi B. Prasad, Alice Stanton, David-Alexandre Trégouët, Yu Guo, Helen R. Warren, Lyn R. Griffiths, Weihua Meng, Annika Tillander, Christa Meisinger, Albert V. Smith, Mark I. McCarthy, Jingyun Yang, Marine Germain, Neil Small, Linda Broer, Vilmundur Gudnason, Gunnar K. Pálsson, Michele K. Evans, Alexander Teumer, Mark J. Caulfield, Giorgia Girotto, Thomas Lumley, Tinca J. C. Polderman, Wei Zhao, Carlos A. Aguilar-Salinas, Jari Lahti, Matthew L. Albert, Yechiel Friedlander, Veikko Salomaa, Iona Y Millwood, Jan H. Veldink, Archie Campbell, Andres Metspalu, Ulf Gyllensten, Grant W. Montgomery, Veronique Vitart, Jai Rup Singh, Saima Afaq, Alan R. Shuldiner, Miao-Li Chee, Adebowale Adeyemo, Jennifer A. Smith, David A. van Heel, Jaspal S. Kooner, Daniela Toniolo, Cristian Pattaro, Jerome I. Rotter, John Whitfield, Melissa C. Smart, Kari E. North, Salman M. Tajuddin, Tallapragada Divya Sri Priyanka, Christopher A. Haiman, Diane M. Becker, Bernhard K. Krämer, Paul Elliott, Lihua Wang, He Gao, Patrick Sulem, Jinyan Huang, Chiea Chuen Khor, Ruifang Li-Gao, Åsa Johansson, Winfried März, Shai Carmi, Ilaria Gandin, Eric Boerwinkle, Gardar Sveinbjornsson, Saskia P. Hagenaars, Sander W. van der Laan, Gerard Pasterkamp, E-Shyong Tai, Hagit Hochner, Yih Chung Tham, Kent D. Taylor, Kari Stefansson, Matt J. Neville, Craig E. Pennell, Yanchun Bao, Annelot M. Dekker, Helena Schmidt, Mehdi Hedayati, Joshua Elliott, Ian J. Deary, Iris E. Jansen, Judith B. Borja, Edith Hofer, Martin Gögele, Igor Rudan, Lude Franke, Matthias Munz, Folkert W. Asselbergs, Bengt Sennblad, Imo Hofer, John D. Rioux, Pim van der Harst, Bahareh Sedaghati-khayat, Giovanni Cugliari, Morris A. Swertz, Francine Grodstein, Erwin P. Bottinger, Carol A. Wang, Andre Franke, Brian F. Meyer, Adele M. Taylor, Klodian Dhana, Jian'an Luan, Constance Turman, Robert A. Scott, May E. Montasser, Alison Pattie, Marco Brumat, Liming Li, Heiner Boeing, Karen L. Mohlke, Clemens Baumbach, Bishwa Raj Sapkota, Unnur Thorsteinsdottir, Naveed Sattar, Amy R. Bentley, Matthias B. Schulze, Ivana Kolcic, Stella Trompet, Sarah E. Harris, Ayo P. Doumatey, Charumathi Sabanayagam, David Eccles, Mary F. Feitosa, Jost B. Jonas, Massimo Mezzavilla, Mark O. Goodarzi, David Ellinghaus, Heribert Schunkert, Christian Gieger, Heikki V. Huikuri, Lingyao Zeng, Johan G. Eriksson, Woon-Puay Koh, Yucheng Jia, Gurpreet Singh Wander, James F. Wilson, Torgny Karlsson, Steven C. Hunt, Weihua Zhang, Maria Pina Concas, Zoltán Kutalik, Rebecca Rohde, Chittaranjan S. Yajnik, Yasaman Saba, Dabeeru C. Rao, Robin G. Walters, Reedik Mägi, Marie Loh, Eero Vuoksimaa, Josyf C. Mychaleckyj, Katri Räikkönen, Philippe Goyette, M. Arfan Ikram, Alicia Huerta-Chagoya, David J. Porteous, Teresa Nutile, J. Wouter Jukema, Noha A. Yousri, Yoichiro Kamatani, Maryam S. Daneshpour, Babette S. Zemel, Rona J. Strawbridge, Tien Yin Wong, Claudia Langenberg, Amy Moore, Marcus E. Kleber, Fereidoun Azizi, Avner Halevy, Erika Salvi, Francis S. Collins, Markku Laakso, Tim Kacprowski, S. Sunna Ebenesersdóttir, William R. Scott, Michael Boehnke, Jin-Fang Chai, Markus Perola, Nicola Pirastu, Wayne Huey-Herng Sheu, Robert Karlsson, Lenore J. Launer, Lili Milani, Renée de Mutsert, Fernando Rivadeneira, David A. Bennett, Nicola D. Kerrison, Paolo Manunta, Graciela E. Delgado, Magnus Johannesson, Carolina Medina-Gomez, Alanna C. Morrison, Kay-Tee Khaw, Jian-Min Yuan, Jaakko Kaprio, Melanie Waldenberger, Ralf Ewert, Hugoline G. de Haan, Andrew A. Hicks, Yukinori Okada, Maria Sabater-Lleal, Marilyn C. Cornelis, Stephanie J. London, Federica Rizzi, Jeanette Erdmann, Marina Ciullo, Michiaki Kubo, University of Edinburgh, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Osaka University Graduate School of Medicine, Laboratory for Cardiovascular Genomics and Informatics [Yokohama] (RIKEN IMS), RIKEN Center for Integrative Medical Sciences [Yokohama] (RIKEN IMS), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN)-RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), deCODE genetics [Reykjavik], Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK (BIHR), Area Science Park, Università degli studi di Trieste = University of Trieste, MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Interfaculty Institute for Genetics and Functional Genomics, Universität Greifswald - University of Greifswald, Harbor UCLA Medical Center [Torrance, Ca.], Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, Department of Electrical and Computer Engineering [Waterloo] (ECE), University of Waterloo [Waterloo], Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Institute of Pop. Genetics, CNR, Sassari, Shardna life science Pula Cagliari, Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne = University of Lausanne (UNIL), Medstar Research Institute, Florida State University [Tallahassee] (FSU), University Medical Center [Utrecht], Centre for Population Health Sciences, Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), California State University [Sacramento], Department of Thrombosis and Haemostasis, Leiden University Medical Center (LUMC), Universiteit Leiden-Universiteit Leiden, Medical University Graz, Department of Neurology, Alzheimer Centre, VU Medical Centre, Amsterdam, Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Heidelberg, Frederick National Laboratory for Cancer Research (FNLCR), Wellcome Trust Centre of Human Genetics, University of Oxford, Department of Epidemiology, German Institute of Human Nutrition, University Medical Center Groningen [Groningen] (UMCG), Institute of Genetics and Biophysics, National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Department of Medicine, Surgery, and Dentistry, University of Milano, Icelandic Heart Association, Kopavogur, Iceland., Department of Epidemiology [Rotterdam], Erasmus University Medical Center [Rotterdam] (Erasmus MC), University of Glasgow, Department of Cardiology, Leiden University Medical Center, Leiden, Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, Queen Mary University of London (QMUL), General Internal Medicine, Johns Hopkins School of Medicine, Johns Hopkins University School of Medicine [Baltimore], Institut de biologie moléculaire des plantes (IBMP), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Immunobiologie des Cellules dendritiques, Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche Translationnelle - Center for Translational Science (CRT), Institut Pasteur [Paris] (IP), Genentech, Inc., Genentech, Inc. [San Francisco], University of Tartu, Duke-NUS Medical School [Singapore], Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke (DifE), Leibniz Association, Human Genome Sequencing Center, Baylor College of Medicine, Baylor College of Medicine (BCM), Baylor University-Baylor University, University of San Carlos, Office of Population Studies Foundation, Icahn School of Medicine at Mount Sinai [New York] (MSSM), King‘s College London, Division of Cancer Epidemiology and Genetics, National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH)-National Institutes of Health [Bethesda] (NIH), University of Oxford, Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Division of Molecular & Clinical Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, Department of Internal Medicine B, University Medicine Greifswald, Greifswald, University of Chicago, University of Huddersfield, Infectious diseases division, Department of internal medicine, Washington University in Saint Louis (WUSTL), Section on Nephrology [Winston-Salem, NC, USA] (Department of Internal Medicine), Wake Forest School of Medicine [Winston-Salem], Wake Forest Baptist Medical Center-Wake Forest Baptist Medical Center, Radcliffe Department of Medicine [Oxford], Harvard School of Public Health, Kunming University of Science and Technology (KMUST), Sans affiliation, University of Southern California (USC), National Institute on Aging [Bethesda, USA] (NIA), National Institutes of Health [Bethesda] (NIH), Centre National de Génotypage (CNG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), MRC Centrer for Nutritional Epidemiology and Cancer Prevention and Survival, University of Cambridge [UK] (CAM), National University of Singapore (NUS), Experimental Cardiology Laboratory (ECL), Unirversity Medical Center, Department of Medical Statistics, Epidemiology and Medical Informatics, University of Zagreb, Department of Medical Genetics, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, MRC Epidemiology Unit, University of Cambridge [UK] (CAM)-Institute of Metabolic Science, Capital Normal University [Beijing], Saw Swee Hock School of Public Health, National Institute for Environmental Health Sciences Research Triangle Park, Brown University, MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, Toyota Research Institute, Helmholtz Zentrum München = German Research Center for Environmental Health, Department of Chemistry and Biochemistry [Boulder], University of Colorado [Boulder], Centre recherche en CardioVasculaire et Nutrition = Center for CardioVascular and Nutrition research (C2VN), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Hôpital de la Timone [CHU - APHM] (TIMONE), Metacohorts Consortium, Universiteit Leiden, Institute of Clinical Chemistry and Laboratory Medicine, University of Groningen [Groningen], Medical Research Concil Epidemiology Unit, Institute of Medical Science, Faculty of Medicine, Genetics and Pathology, Imperial College London, Génétique Evolutive Humaine - Human Evolutionary Genetics, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Brigham and Women's Hospital [Boston], Erasmus University Rotterdam, Department of Chronic Disease Prevention, National Institute for Health and Welfare [Helsinki], Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System-School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU), Stockholm Bioinformatics Center (SBC), Stockholm University, Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, University of Utrecht, Utrecht, INRH, Department of Genetics, Los Angeles Biomedical Research Institute (LA BioMed), Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán - National Institute of Medical Science and Nutrition Salvador Zubiran [Mexico], Western General Hospital, German Research Center for Environmental Health - Helmholtz Center München (GmbH), Medical Research Council, Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute-University of Pittsburgh Graduate School of Public Health, Zhengzhou University of Light Industry, Department of Electrical and Electronic Engineering [Niigata Univ.], Niigata University, Genetic Epidemiology Unit, University College of London [London] (UCL), Aston Business School, Aston University [Birmingham], Division of Cancer Epidemiology and Genetics [Bethesda, MD, États-Unis], Centre Hospitalier Universitaire Vaudois (CHUV), Pennington Biomedical Research Center, University of Washington [Seattle], Guy's and St Thomas' Hospitals, Northwestern Polytechnical University [Xi'an] (NPU), Department of Social Medicine, University of Bristol [Bristol], Department of Genomics of Common Disease [London, UK], Imperial College London-Hammersmith Hospital NHS Imperial College Healthcare, Department of Internal Medicine, Institute of Clinical Molecular Biology, Kiel University, Medizinische Klinik II, Universität zu Lübeck = University of Lübeck [Lübeck], Clinical and Molecular Epidemiology Unit, Department of Hygiene and Epidemiology, University of Ioannina, Institute for Social Research, University of Michigan System-University of Michigan System, Division of Statistical Genomics, Washington University School of Medicine, Institute for Clinical Molecular Biology, Christian-Albrechts-Universität zu Kiel (CAU), Department of Physics, RISSC-Lab-University of Naples Federico II = Università degli studi di Napoli Federico II, Lund University [Lund], Icelandic Heart Association, Heart Preventive Clinic and Research Institute, The Center for Applied Genomics, Children’s Hospital of Philadelphia (CHOP ), Génétique moléculaire de la neurotransmission et des processus neurodégénératifs (LGMNPN), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Medical Research Center Oulu, University of Oulu, University of Utah School of Medicine [Salt Lake City], The Generation R Study, Pediatrics, Epidemiology, Center for Translational and Computational Neuroimmunology [New York, NY, États-Unis] (CTCN), Department of Neurology [New York, NY, États-Unis], Columbia University Medical Center (CUMC), Columbia University [New York]-Columbia University [New York]-Columbia University Medical Center (CUMC), Columbia University [New York]-Columbia University [New York], Universität Heidelberg [Heidelberg] = Heidelberg University, Interuniversity Cardiology Institute Netherlands, School of Public Health, University of Michigan [Dearborn], Department of Epidemiology and Public Health, University of Kuopio, Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Institute of Epidemiology and Biobank PopGen, Department of Biostatistics, University of Washington, Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM), Clinical Institute of Medical and Chemical Laboratory Diagnostics, Karl-Franzens-Universität Graz, Department of Genetics, Biology and Biochemistry, Università degli studi di Torino = University of Turin (UNITO), Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), QIMR Berghofer Medical Research Institute, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC)-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, University of Illinois [Chicago] (UIC), University of Illinois System, Experimental Cardiology Laboratory, Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Functional Genomics, Erasmus Medical Centre, National Human Genome Research Institute (NHGRI), School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California (UC)-University of California (UC), Department of Pathological Biochemistry, Royal Infirmary, German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Institute of Metabolic Science, MRC, University of Maryland School of Medicine [Baltimore, MD, USA], Centre for Molecular Epidemiology, Centre for Causal Analyses in Translational Epidemiology, University of Bristol [Bristol]-Medical Research Council, IRCCS San Raffaele Scientific Institute [Milan, Italie], U937, Génomique cardiovasculaire, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), University of Michigan System, HMNC Brain Health, Singapore Eye Research Institute, Partenaires INRAE, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Department of Psychiatry and Psychotherapy, Rheinische Friedrich-Wilhelms-Universität Bonn, University of Groningen, Department of Genomics of Common Disease, Department of Microbiology, The Freeman Hospital, Department Biostatistics University of North Carolina, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Clark, D. W., Okada, Y., Moore, K. H. S., Mason, D., Pirastu, N., Gandin, I., Mattsson, H., Barnes, C. L. K., Lin, K., Zhao, J. H., Deelen, P., Rohde, R., Schurmann, C., Guo, X., Giulianini, F., Zhang, W., Medina-Gomez, C., Karlsson, R., Bao, Y., Bartz, T. M., Baumbach, C., Biino, G., Bixley, M. J., Brumat, M., Chai, J. -F., Corre, T., Cousminer, D. L., Dekker, A. M., Eccles, D. A., van Eijk, K. R., Fuchsberger, C., Gao, H., Germain, M., Gordon, S. D., de Haan, H. G., Harris, S. E., Hofer, E., Huerta-Chagoya, A., Igartua, C., Jansen, I. E., Jia, Y., Kacprowski, T., Karlsson, T., Kleber, M. E., Li, S. A., Li-Gao, R., Mahajan, A., Matsuda, K., Meidtner, K., Meng, W., Montasser, M. E., van der Most, P. J., Munz, M., Nutile, T., Palviainen, T., Prasad, G., Prasad, R. B., Priyanka, T. D. S., Rizzi, F., Salvi, E., Sapkota, B. R., Shriner, D., Skotte, L., Smart, M. C., Smith, A. V., van der Spek, A., Spracklen, C. N., Strawbridge, R. J., Tajuddin, S. M., Trompet, S., Turman, C., Verweij, N., Viberti, C., Wang, L., Warren, H. R., Wootton, R. E., Yanek, L. R., Yao, J., Yousri, N. A., Zhao, W., Adeyemo, A. A., Afaq, S., Aguilar-Salinas, C. A., Akiyama, M., Albert, M. L., Allison, M. A., Alver, M., Aung, T., Azizi, F., Bentley, A. R., Boeing, H., Boerwinkle, E., Borja, J. B., de Borst, G. J., Bottinger, E. P., Broer, L., Campbell, H., Chanock, S., Chee, M. -L., Chen, G., Chen, Y. -D. I., Chen, Z., Chiu, Y. -F., Cocca, M., Collins, F. S., Concas, M. P., Corley, J., Cugliari, G., van Dam, R. M., Damulina, A., Daneshpour, M. S., Day, F. R., Delgado, G. E., Dhana, K., Doney, A. S. F., Dorr, M., Doumatey, A. P., Dzimiri, N., Ebenesersdottir, S. S., Elliott, J., Elliott, P., Ewert, R., Felix, J. F., Fischer, K., Freedman, B. I., Girotto, G., Goel, A., Gogele, M., Goodarzi, M. O., Graff, M., Granot-Hershkovitz, E., Grodstein, F., Guarrera, S., Gudbjartsson, D. F., Guity, K., Gunnarsson, B., Guo, Y., Hagenaars, S. P., Haiman, C. A., Halevy, A., Harris, T. B., Hedayati, M., van Heel, D. A., Hirata, M., Hofer, I., Hsiung, C. A., Huang, J., Hung, Y. -J., Ikram, M. A., Jagadeesan, A., Jousilahti, P., Kamatani, Y., Kanai, M., Kerrison, N. D., Kessler, T., Khaw, K. -T., Khor, C. C., de Kleijn, D. P. V., Koh, W. -P., Kolcic, I., Kraft, P., Kramer, B. K., Kutalik, Z., Kuusisto, J., Langenberg, C., Launer, L. J., Lawlor, D. A., Lee, I. -T., Lee, W. -J., Lerch, M. M., Li, L., Liu, J., Loh, M., London, S. J., Loomis, S., Lu, Y., Luan, J., Magi, R., Manichaikul, A. W., Manunta, P., Masson, G., Matoba, N., Mei, X. W., Meisinger, C., Meitinger, T., Mezzavilla, M., Milani, L., Millwood, I. Y., Momozawa, Y., Moore, A., Morange, P. -E., Moreno-Macias, H., Mori, T. A., Morrison, A. C., Muka, T., Murakami, Y., Murray, A. D., de Mutsert, R., Mychaleckyj, J. C., Nalls, M. A., Nauck, M., Neville, M. J., Nolte, I. M., Ong, K. K., Orozco, L., Padmanabhan, S., Palsson, G., Pankow, J. S., Pattaro, C., Pattie, A., Polasek, O., Poulter, N., Pramstaller, P. P., Quintana-Murci, L., Raikkonen, K., Ralhan, S., Rao, D. C., van Rheenen, W., Rich, S. S., Ridker, P. M., Rietveld, C. A., Robino, A., van Rooij, F. J. A., Ruggiero, D., Saba, Y., Sabanayagam, C., Sabater-Lleal, M., Sala, C. F., Salomaa, V., Sandow, K., Schmidt, H., Scott, L. J., Scott, W. R., Sedaghati-Khayat, B., Sennblad, B., van Setten, J., Sever, P. J., Sheu, W. H. -H., Shi, Y., Shrestha, S., Shukla, S. R., Sigurdsson, J. K., Sikka, T. T., Singh, J. R., Smith, B. H., Stancakova, A., Stanton, A., Starr, J. M., Stefansdottir, L., Straker, L., Sulem, P., Sveinbjornsson, G., Swertz, M. A., Taylor, A. M., Taylor, K. D., Terzikhan, N., Tham, Y. -C., Thorleifsson, G., Thorsteinsdottir, U., Tillander, A., Tracy, R. P., Tusie-Luna, T., Tzoulaki, I., Vaccargiu, S., Vangipurapu, J., Veldink, J. H., Vitart, V., Volker, U., Vuoksimaa, E., Wakil, S. M., Waldenberger, M., Wander, G. S., Wang, Y. X., Wareham, N. J., Wild, S., Yajnik, C. S., Yuan, J. -M., Zeng, L., Zhang, L., Zhou, J., Amin, N., Asselbergs, F. W., Bakker, S. J. L., Becker, D. M., Lehne, B., Bennett, D. A., van den Berg, L. H., Berndt, S. I., Bharadwaj, D., Bielak, L. F., Bochud, M., Boehnke, M., Bouchard, C., Bradfield, J. P., Brody, J. A., Campbell, A., Carmi, S., Caulfield, M. J., Cesarini, D., Chambers, J. C., Chandak, G. R., Cheng, C. -Y., Ciullo, M., Cornelis, M., Cusi, D., Smith, G. D., Deary, I. J., Dorajoo, R., van Duijn, C. M., Ellinghaus, D., Erdmann, J., Eriksson, J. G., Evangelou, E., Evans, M. K., Faul, J. D., Feenstra, B., Feitosa, M., Foisy, S., Franke, A., Friedlander, Y., Gasparini, P., Gieger, C., Gonzalez, C., Goyette, P., Grant, S. F. A., Griffiths, L. R., Groop, L., Gudnason, V., Gyllensten, U., Hakonarson, H., Hamsten, A., van der Harst, P., Heng, C. -K., Hicks, A. A., Hochner, H., Huikuri, H., Hunt, S. C., Jaddoe, V. W. V., De Jager, P. L., Johannesson, M., Johansson, A., Jonas, J. B., Jukema, J. W., Junttila, J., Kaprio, J., Kardia, S. L. R., Karpe, F., Kumari, M., Laakso, M., van der Laan, S. W., Lahti, J., Laudes, M., Lea, R. A., Lieb, W., Lumley, T., Martin, N. G., Marz, W., Matullo, G., Mccarthy, M. I., Medland, S. E., Merriman, T. R., Metspalu, A., Meyer, B. F., Mohlke, K. L., Montgomery, G. W., Mook-Kanamori, D., Munroe, P. B., North, K. E., Nyholt, D. R., O'Connell, J. R., Ober, C., Oldehinkel, A. J., Palmas, W., Palmer, C., Pasterkamp, G. G., Patin, E., Pennell, C. E., Perusse, L., Peyser, P. A., Pirastu, M., Polderman, T. J. C., Porteous, D. J., Posthuma, D., Psaty, B. M., Rioux, J. D., Rivadeneira, F., Rotimi, C., Rotter, J. I., Rudan, I., Den Ruijter, H. M., Sanghera, D. K., Sattar, N., Schmidt, R., Schulze, M. B., Schunkert, H., Scott, R. A., Shuldiner, A. R., Sim, X., Small, N., Smith, J. A., Sotoodehnia, N., Tai, E. -S., Teumer, A., Timpson, N. J., Toniolo, D., Tregouet, D. -A., Tuomi, T., Vollenweider, P., Wang, C. A., Weir, D. R., Whitfield, J. B., Wijmenga, C., Wong, T. -Y., Wright, J., Yang, J., Yu, L., Zemel, B. S., Zonderman, A. B., Perola, M., Magnusson, P. K. E., Uitterlinden, A. G., Kooner, J. S., Chasman, D. I., Loos, R. J. F., Franceschini, N., Franke, L., Haley, C. S., Hayward, C., Walters, R. G., Perry, J. R. B., Esko, T., Helgason, A., Stefansson, K., Joshi, P. K., Kubo, M., Wilson, J. F., Læknadeild (HÍ), Faculty of Medicine (UI), Félagsfræði-, mannfræði- og þjóðfræðideild (HÍ), Faculty of Sociology, Anthropology and Folkloristics (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), School of Engineering and Natural Sciences (UI), Verkfræði- og náttúruvísindasvið (HÍ), Félagsvísindasvið (HÍ), School of Social Sciences (UI), Háskóli Íslands, University of Iceland, Clark, David W [0000-0002-1025-9185], Okada, Yukinori [0000-0002-0311-8472], Moore, Kristjan H S [0000-0002-9579-4362], Mason, Dan [0000-0002-0026-9216], Pirastu, Nicola [0000-0002-5363-3886], Gandin, Ilaria [0000-0003-3196-2491], Deelen, Patrick [0000-0002-5654-3966], Schurmann, Claudia [0000-0003-4158-9192], Medina-Gomez, Carolina [0000-0001-7999-5538], Karlsson, Robert [0000-0002-8949-2587], Bao, Yanchun [0000-0002-6102-5098], Biino, Ginevra [0000-0002-9936-946X], Brumat, Marco [0000-0003-3268-039X], Chai, Jin-Fang [0000-0003-3770-1137], Eccles, David A [0000-0003-4634-4995], Gordon, Scott 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C. [0000-0001-5564-301X], Porteous, David J [0000-0003-1249-6106], Rioux, John D [0000-0001-7560-8326], Rivadeneira, Fernando [0000-0001-9435-9441], Rotimi, Charles [0000-0001-5759-053X], Rotter, Jerome I [0000-0001-7191-1723], Rudan, Igor [0000-0001-6993-6884], Sattar, Naveed [0000-0002-1604-2593], Sim, Xueling [0000-0002-1233-7642], Smith, Jennifer A [0000-0002-3575-5468], Teumer, Alexander [0000-0002-8309-094X], Timpson, Nicholas J [0000-0002-7141-9189], Tuomi, Tiinamaija [0000-0002-8306-6202], Wang, Carol A [0000-0002-4301-3974], Weir, David R [0000-0002-1661-2402], Whitfield, John B [0000-0002-1103-0876], Magnusson, Patrik K. E. [0000-0002-7315-7899], Uitterlinden, André G [0000-0002-7276-3387], Loos, Ruth J. F. [0000-0002-8532-5087], Franke, Lude [0000-0002-5159-8802], Haley, Chris S [0000-0002-9811-0210], Hayward, Caroline [0000-0002-9405-9550], Walters, Robin G [0000-0002-9179-0321], Joshi, Peter K [0000-0002-6361-5059], Wilson, James F [0000-0001-5751-9178], Apollo - University of Cambridge Repository, Moore, Kristjan HS [0000-0002-9579-4362], Luan, Jian'an [0000-0003-3137-6337], Grant, Struan FA [0000-0003-2025-5302], Jaddoe, Vincent WV [0000-0003-2939-0041], Polderman, Tinca JC [0000-0001-5564-301X], Magnusson, Patrik KE [0000-0002-7315-7899], Loos, Ruth JF [0000-0002-8532-5087], Neurology, Human genetics, Amsterdam Reproduction & Development (AR&D), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Stem Cell Aging Leukemia and Lymphoma (SALL), Institute for Molecular Medicine Finland, Department of Psychology and Logopedics, University Management, Developmental Psychology Research Group, Staff Services, Cognitive and Brain Aging, Research Programs Unit, Diabetes and Obesity Research Program, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, Clinicum, University of Helsinki, Centre of Excellence in Complex Disease Genetics, Department of Public Health, Genetic Epidemiology, Helsinki Collegium for Advanced Studies, HUS Abdominal Center, Endokrinologian yksikkö, Bradford Teaching Hospitals NHS Foundation Trust [Bradford, UK] (BTHFT), University of Trieste, Université de Lausanne (UNIL), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Consiglio Nazionale delle Ricerche (CNR), Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Pasteur [Paris], Institut Pasteur [Paris], University of Oxford [Oxford], Medical Genetics, Dept. RSD and Public Health, IRCCS-Burlo Garofolo/University of Trieste, sans affiliation, Helmholtz-Zentrum München (HZM), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Institute of Cardiovascular Science, University College London, Hammersmith Hospital NHS Imperial College Healthcare-Imperial College London, Universität zu Lübeck [Lübeck], University of Ioannina Medical School, Università degli studi di Napoli Federico II-RISSC-Lab, Universität Heidelberg [Heidelberg], University of Turin, University of California-University of California, Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), University of Helsinki-University of Helsinki, Université de Nantes (UN)-Université de Rennes 1 (UR1), Erasmus MC other, Internal Medicine, and Applied Economics
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0301 basic medicine ,631/208/1397 ,Chemistry(all) ,Health Status ,[SDV]Life Sciences [q-bio] ,LOCI ,General Physics and Astronomy ,MESH: Haplotype ,MESH: Cognition ,030105 genetics & heredity ,Runs of Homozygosity ,Biochemistry ,Consanguinity ,Cognition ,Inbreeding depression ,2.1 Biological and endogenous factors ,Body Size ,Inbreeding ,Skyldleikarækt ,Aetiology ,Human phenotypes ,lcsh:Science ,MESH: Health Status ,Genetics ,Multidisciplinary ,Inbreeding Depression ,Confounding ,Homozygote ,RUNS ,631/208/205 ,631/208/721 ,3. Good health ,genomic inbreeding coefficients ,MESH: Risk-Taking ,631/208/730 ,Autozygosit ,homozygosity ,Erfðarannsóknir ,Medical Genetics ,genomic inbreeding coefficient ,MESH: Homozygote ,Offspring ,Science ,Autozygosity ,Blóðsifjar ,610 Medicine & health ,Biology ,INBREEDING DEPRESSION ,HOMOZYGOSITY ,FERTILITY ,QUANTIFICATION ,Physics and Astronomy(all) ,General Biochemistry, Genetics and Molecular Biology ,Article ,Association ,03 medical and health sciences ,Risk-Taking ,360 Social problems & social services ,Journal Article ,Humans ,ddc:610 ,Allele ,Alleles ,Medicinsk genetik ,Genetic association study ,MESH: Consanguinity ,MESH: Body Size ,MESH: Humans ,Biochemistry, Genetics and Molecular Biology(all) ,MESH: Alleles ,Haplotype ,MESH: Fertility ,General Chemistry ,Brain Disorders ,MESH: Inbreeding Depression ,030104 developmental biology ,Fertility ,Haplotypes ,Genetic markers ,lcsh:Q ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,3111 Biomedicine ,Genetics and Molecular Biology(all) - Abstract
Publisher's version (útgefin grein)., In many species, the offspring of related parents suffer reduced reproductive success, a phenomenon known as inbreeding depression. In humans, the importance of this effect has remained unclear, partly because reproduction between close relatives is both rare and frequently associated with confounding social factors. Here, using genomic inbreeding coefficients (FROH) for >1.4 million individuals, we show that FROH is significantly associated (p < 0.0005) with apparently deleterious changes in 32 out of 100 traits analysed. These changes are associated with runs of homozygosity (ROH), but not with common variant homozygosity, suggesting that genetic variants associated with inbreeding depression are predominantly rare. The effect on fertility is striking: FROH equivalent to the offspring of first cousins is associated with a 55% decrease [95% CI 44–66%] in the odds of having children. Finally, the effects of FROH are confirmed within full-sibling pairs, where the variation in FROH is independent of all environmental confounding., This paper is the work of the ROHgen consortium. We thank the Sigma T2D Consortium, whose members are detailed in Supplementary Note 3. We thank the UK Biobank Resource, approved under application 19655; we acknowledge funding from the UK Medical Research Council Human Genetics Unit and MRC Doctoral Training Programme in Precision Medicine. We also thank Neil Robertson, Wellcome Trust Centre for Human Genetics, Oxford, for use of his author details management software, Authorial. Finally, we thank all the participants, researchers and funders of ROHgen cohorts. Cohort-specific acknowledgements are in Supplementary Data 2; personal acknowledgements and disclosures are in Supplementary Note 2. We thank Rachel Edwards for administrative assistance.
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- 2019
37. Genome-wide association study of cryptosporidiosis in infants implicatesPRKCA
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Genevieve L. Wojcik, Chelsea Marie, Priya Duggal, Stephen S. Rich, William A. Petri, Rashidul Haque, Beth D. Kirkpatrick, Poonum S. Korpe, Patrick Concannon, A. S. G. Faruque, and Josyf C. Mychaleckyj
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2. Zero hunger ,0303 health sciences ,education.field_of_study ,Pediatrics ,medicine.medical_specialty ,business.industry ,030231 tropical medicine ,Population ,1. No poverty ,Single-nucleotide polymorphism ,Genome-wide association study ,Disease ,medicine.disease ,3. Good health ,03 medical and health sciences ,Diarrhea ,Malnutrition ,0302 clinical medicine ,Cohort ,Medicine ,medicine.symptom ,business ,education ,030304 developmental biology ,Genetic association - Abstract
Diarrhea is a major cause of both morbidity and mortality worldwide, especially among young children. Cryptosporidiosis is a leading cause of diarrhea in children, particularly in South Asia and Sub-Saharan Africa where it is responsible for over 200,000 deaths per year. Beyond the initial clinical presentation of diarrhea, it is associated with long term sequelae such as malnutrition and neurocognitive developmental deficits. Risk factors include poverty and overcrowding, yet not all children with these risk factors and exposure are infected, nor do all infected children develop symptomatic disease. One potential risk factor to explain these differences is their human genome. To identify genetic variants associated with symptomatic cryptosporidiosis, we conducted a genome-wide association study (GWAS) examining 6.5 million single nucleotide polymorphisms (SNPs) in 873 children from three independent cohorts in Dhaka, Bangladesh: the Dhaka Birth Cohort (DBC), the Performance of Rotavirus and Oral Polio Vaccines in Developing Countries (PROVIDE) study, and the Cryptosporidiosis Birth Cohort (CBC). Associations were estimated separately for each cohort under an additive model, adjusting for height-for-age Z-score at 12 months of age, the first two principal components to account for population substructure, and genotyping batch. The strongest meta-analytic association was with rs58296998 (P=3.73×10−8), an intronic SNP and eQTL ofPRKCA. Each additional risk allele conferred 2.4 times the odds of cryptosporidiosis in the first year of life. This genetic association suggests a role for protein kinase C alpha in pediatric cryptosporidiosis and warrants further investigation. This article was submitted to an online preprint archive.(1)ImportanceGlobally, one of the major causes of pediatric morbidity and mortality remains diarrhea. The initial symptoms of diarrhea can often lead to long term consequences for the health of young children, such as malnutrition and neurocognitive developmental deficits. Despite many children having similar exposures to infectious causes of diarrhea, not all develop symptomatic disease, indicating a possible role for human genetic variation. Here we conducted a genetic study of susceptibility to symptomatic disease associated with Cryptosporidium infection (a leading cause of diarrhea) in three independent cohorts of infants from Dhaka, Bangladesh. We identified a genetic variant within protein kinase c alpha (PRKCA) associated with higher risk of cryptosporidiosis in the first year of life. These results indicate a role for human genetics in susceptibility to cryptosporidiosis and warrant further research to elucidate the mechanism.
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- 2019
38. 321-OR: A Genetic Locus on Chromosome 1p36 Associated with Cardiovascular Autonomic Neuropathy in Type 2 Diabetes
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Yaling Tang, Michael J. Wagner, Alison A. Motsinger-Reif, Xiuqin Sun, Josyf C. Mychaleckyj, Rodica Pop-Busui, Alessandro Doria, John B. Buse, Hetal Shah, and Bruce A. Perkins
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medicine.medical_specialty ,business.industry ,Endocrinology, Diabetes and Metabolism ,Single-nucleotide polymorphism ,Genome-wide association study ,Type 2 diabetes ,Disease ,medicine.disease ,Logistic regression ,Diabetes mellitus ,Internal medicine ,Cohort ,Internal Medicine ,medicine ,business ,Glycemic - Abstract
Cardiovascular autonomic neuropathy (CAN) is an independent predictor of cardiovascular disease (CVD) morbidity and all-cause and CVD mortality in diabetes. In light of its significant heritability, we aimed to identify genetic predictors of CAN through an unbiased genome-wide association study (GWAS) among whites in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) cohort, comprising individuals with type 2 diabetes (T2D) and high CVD risk. CAN was defined based on indices of heart rate variability derived from 10-s resting electrocardiograms, namely, as the lowest quartile of standard deviation of normally conducted R-R intervals (SDNN 104.32%). Applying logistic regression models, we conducted a GWAS testing 6.8 million common single nucleotide polymorphisms (SNPs), with cases (N=807) having CAN at baseline and/or during follow-up and controls (N=3,144) being without CAN at end of follow-up. The top signal, rs779142, on chromosome 1p36, was associated with 35% increased odds of CAN (OR=1.35 [1.20-1.51], P=1.9 ×10-7). Among incident cases (N=499), this SNP reached GWAS significance (OR=1.48 [1.29-1.69], P=1.7 ×10-8). In a time-to-event analysis, rs779142 was associated with increased risk of progression to CAN (HR=1.45 [1.28-1.64], P=6.9 ×10-9) - an effect that was independent of the glycemic control arm assignments within the trial (P for interaction = 0.40). Genes lying within 1Mb of the lead SNP included KCNAB2 - a potassium voltage-gated channel associated with fatal cardiac arrhythmia, and PER3 - period circadian clock 3, which is involved in the regulation of the cardiac sympathovagal balance. To conclude, we have identified a locus on 1p36 having a genome-wide significant effect on the development of incident CAN in T2D. Pending further studies, these findings may provide better mechanistic insights into CAN pathophysiology as well as potential new therapeutic targets against this complication. Disclosure Y. Tang: None. H. Shah: None. X. Sun: None. B.A. Perkins: Advisory Panel; Self; Abbott, Boehringer Ingelheim International GmbH, Boehringer Ingelheim International GmbH, Insulet Corporation. Research Support; Self; Boehringer Ingelheim International GmbH. Other Relationship; Self; Abbott, Boehringer Ingelheim International GmbH, Lilly Diabetes, Medtronic, Novo Nordisk Inc., Sanofi. M.J. Wagner: None. A. Motsinger-Reif: None. J.B. Buse: Consultant; Self; Neurimmune AG. Research Support; Self; AstraZeneca, National Center for Advancing Translational Sciences, National Institute of Diabetes and Digestive and Kidney Diseases, Novo Nordisk A/S, Sanofi, vTv Therapeutics. Stock/Shareholder; Self; Mellitus Health, PhaseBio Pharmaceuticals, Inc., Stability Health. Other Relationship; Self; ADOCIA, AstraZeneca, Dance Biopharm Holdings Inc., Eli Lilly and Company, MannKind Corporation, NovaTarg, Novo Nordisk A/S, Senseonics, vTv Therapeutics, Zafgen, Inc. J. Mychaleckyj: None. R. Pop-Busui: Consultant; Self; Novo Nordisk A/S. Research Support; Self; AstraZeneca. Other Relationship; Self; American Diabetes Association. A. Doria: Research Support; Self; Sanofi-Aventis. Funding National Institutes of Health
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- 2019
39. Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans
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Jianzhao Xu, Nora Franceschini, Pamela J. Hicks, Meijian Guan, Wendy S. Post, Swapan K Das, Lijun Ma, Barry I. Freedman, John R. Sedor, Yii-Der Ida Chen, Denyse Thornley-Brown, Laura J. Rasmussen-Torvik, Donald W. Bowden, Josef Coresh, Jacob M. Keaton, Carl D. Langefeld, Maggie C.Y. Ng, Adrienne Tin, Holly Kramer, Josyf C. Mychaleckyj, Jerome I. Rotter, Stephen S. Rich, Nicholette D. Palmer, Myriam Fornage, Latchezar Dimitrov, Rulan S. Parekh, and James G. Wilson
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Genome-wide association study ,medicine.medical_specialty ,lcsh:QH426-470 ,lcsh:Medicine ,Locus (genetics) ,Type 2 diabetes ,Disease ,03 medical and health sciences ,Internal medicine ,Drug Discovery ,Genotype ,Genetics ,Genetic predisposition ,Medicine ,Diabetic kidney disease ,1000 Genomes Project ,Molecular Biology ,African Americans ,0303 health sciences ,business.industry ,lcsh:R ,030305 genetics & heredity ,End-stage kidney disease ,medicine.disease ,3. Good health ,lcsh:Genetics ,Molecular Medicine ,Primary Research ,business ,Kidney disease - Abstract
Background End-stage kidney disease (ESKD) is a significant public health concern disproportionately affecting African Americans (AAs). Type 2 diabetes (T2D) is the leading cause of ESKD in the USA, and efforts to uncover genetic susceptibility to diabetic kidney disease (DKD) have had limited success. A prior genome-wide association study (GWAS) in AAs with T2D-ESKD was expanded with additional AA cases and controls and genotypes imputed to the higher density 1000 Genomes reference panel. The discovery analysis included 3432 T2D-ESKD cases and 6977 non-diabetic non-nephropathy controls (N = 10,409), followed by a discrimination analysis in 2756 T2D non-nephropathy controls to exclude T2D-associated variants. Results Six independent variants located in or near RND3/RBM43, SLITRK3, ENPP7, GNG7, and APOL1 achieved genome-wide significant association (P
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- 2019
40. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria
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Tobias Hermle, Holger Kirsten, Karsten B. Sieber, Aiko P. J. de Vries, Su Chi Lim, Peter Kovacs, Charumathi Sabanayagam, Carl D. Langefeld, Bernhard K. Krämer, Kent D. Taylor, Janine F. Felix, Belen Ponte, Markus Loeffler, Mary F. Feitosa, Kai-Uwe Eckardt, Jianjun Liu, Katalin Dittrich, Charlene A. Wong, Uwe Völker, Adriana M. Hung, Thomas Meitinger, Anubha Mahajan, Anselm Hoppmann, Erik Ingelsson, Martin H. de Borst, Oscar H. Franco, Niek Verweij, Kai-Uwe Saum, Vilmundur Gudnason, Bram P. Prins, Carsten A. Böger, Terho Lehtimäki, Andrew A. Hicks, Todd L. Edwards, Olivier Devuyst, Peter P. Pramstaller, Katrin Horn, Leslie A. Lange, Johanne Tremblay, Jin-Fang Chai, Sahar Ghasemi, Kjell Nikus, Tanja Poulain, Massimiliano Cocca, Anna Köttgen, Eric Boerwinkle, Barry I. Freedman, Miao-Ling Chee, Man Li, Stephan J. L. Bakker, Tamara B. Harris, Albert V. Smith, Ton J. Rabelink, Dennis O. Mook-Kanamori, Iris M. Heid, Jasmin Divers, Chaolong Wang, Kathleen A. Ryan, Pavel Hamet, Silke Szymczak, Shih-Jen Hwang, Hauke Thomsen, Rainer Rettig, Ayush Giri, Fernando Rivadeneira, Leo-Pekka Lyytikäinen, Cristian Pattaro, Andrej Teren, Valencia Hui Xian Foo, Myriam Rheinberger, Audrey Y. Chu, Barbara McMullen, Franziska Grundner-Culemann, Masayuki Yasuda, Murielle Bochud, Martin Gögele, Anke Tönjes, Jeannette Lee, Adrienne Tin, Kevin Ho, Konstantin Strauch, Josef Coresh, Renée de Mutsert, Sandra Freitag-Wolf, Gardar Sveinbjornsson, Yizhe Xu, Katalin Susztak, Tien Yin Wong, Mary L. Biggs, Isleifur Olafsson, Qiong Yang, Antje Körner, Chengxiang Qiu, E-Shyong Tai, Martina Müller-Nurasyid, Ben Schöttker, Jeffrey O' Connell, Mengmeng Chen, Daniel F. Gudbjartsson, Dermot F. Reilly, Vincent W. V. Jaddoe, Damia Noce, Pim van der Harst, Sanaz Sedaghat, Chiea Chuen Khor, Adam S. Butterworth, Mathias Gorski, Robert J. Carroll, James G. Wilson, Johan Ärnlöv, Christa Meisinger, Kenneth Rice, Bettina Jung, Christian M. Shaffer, Unnur Thorsteinsdottir, Matthias Nauck, Shreeram Akilesh, Mika Kähönen, Johanna Jakobsdottir, Melanie Waldenberger, Ralph Burkhardt, Daniela Baptista, John Danesh, Benjamin B. Sun, Karlhans Endlich, Holly Kramer, Frauke Degenhardt, Wolfgang Lieb, Kari Stefansson, Joachim Thiery, Lars Lind, Nicholette D. Palmer, Sarah A. Pendergrass, Suzanne Vogelezang, Peter J. van der Most, Afshin Parsa, Markus Scholz, Florian Kronenberg, Joseph C. Maranville, Laura M. Raffield, Hermann Brenner, Wieland Kiess, Anna I. Podgornaia, Yuan Shi, Tanguy Corre, Miao-Li Chee, Deborah Mascalzoni, Bamidele O. Tayo, Navya Shilpa Josyula, Ching-Yu Cheng, Lea Gerstner, Nisha Bansal, Jerome I. Rotter, Alexander Teumer, Vilmantas Giedraitis, Raymond Noordam, Ron T. Gansevoort, Lihua Wang, Andrew P. Morris, Bruce M. Psaty, Boting Ning, Zhi Yu, Christian Fuchsberger, Matthias Wuttke, Heiko Runz, Annette Peters, Yih Chung Tham, James P. Cook, Yong Li, Chris H. L. Thio, Hilma Holm, Alessandro De Grandi, Jonathan Marten, André G. Uitterlinden, Andre Franke, Nicholas Y. Q. Tan, Otis D. Wilson, Georg Ehret, Cecilia M. Lindgren, Josyf C. Mychaleckyj, Wolfgang Koenig, Harold Snieder, Michael Stumvoll, Kozeta Miliku, M. Arfan Ikram, Teresa Nutile, Læknadeild (HÍ), Faculty of Medicine (UI), School of Health Sciences (UI), Heilbrigðisvísindasvið (HÍ), Háskóli Íslands, University of Iceland, Teumer, Alexander [0000-0002-8309-094X], Li, Yong [0000-0003-2651-8791], Wuttke, Matthias [0000-0003-3420-5082], Giri, Ayush [0000-0002-7786-4670], Qiu, Chengxiang [0000-0002-6346-8669], Kirsten, Holger [0000-0002-3126-7950], Tin, Adrienne [0000-0002-4207-5866], Feitosa, Mary F. [0000-0002-0933-2410], Chai, Jin-Fang [0000-0003-3770-1137], Cocca, Massimiliano [0000-0002-1127-7596], Gorski, Mathias [0000-0002-9103-5860], Horn, Katrin [0000-0002-5307-6936], Li, Man [0000-0002-3839-0281], Marten, Jonathan [0000-0001-6916-2014], van der Most, Peter J. [0000-0001-8450-3518], Burkhardt, Ralph [0000-0003-1924-1202], Coresh, Josef [0000-0002-4598-0669], de Borst, Martin H. [0000-0002-4127-8733], Ehret, Georg [0000-0002-5730-0675], Endlich, Karlhans [0000-0001-6052-6061], Felix, Janine F. [0000-0002-9801-5774], Franke, Andre [0000-0003-1530-5811], Freedman, Barry I. [0000-0003-0275-5530], Freitag-Wolf, Sandra [0000-0002-1069-7740], Giedraitis, Vilmantas [0000-0003-3423-2021], Grundner-Culemann, Franziska [0000-0001-9649-281X], Gudnason, Vilmundur [0000-0001-5696-0084], Hicks, Andrew A. [0000-0001-6320-0411], Ikram, M. Arfan [0000-0003-0372-8585], Ingelsson, Erik [0000-0003-2256-6972], Jaddoe, Vincent W. V. [0000-0003-2939-0041], Josyula, Navya Shilpa [0000-0003-2782-8812], Khor, Chiea-Chuen [0000-0002-1128-4729], Koenig, Wolfgang [0000-0002-2064-9603], Kovacs, Peter [0000-0002-0290-5423], Kronenberg, Florian [0000-0003-2229-1120], Lindgren, Cecilia M. [0000-0002-4903-9374], Liu, Jianjun [0000-0002-3255-3019], Lyytikäinen, Leo-Pekka [0000-0002-7200-5455], Mahajan, Anubha [0000-0001-5585-3420], Mascalzoni, Deborah [0000-0003-4156-1464], Miliku, Kozeta [0000-0002-9614-7191], Müller-Nurasyid, Martina [0000-0003-3793-5910], Mychaleckyj, Josyf C. [0000-0003-2595-0005], Palmer, Nicholette D. [0000-0001-8883-2511], Poulain, Tanja [0000-0003-3825-5829], Raffield, Laura M. [0000-0002-7892-193X], Rice, Kenneth M. [0000-0002-3071-7278], Rivadeneira, Fernando [0000-0001-9435-9441], Sabanayagam, Charumathi [0000-0002-4042-4719], Smith, Albert V. [0000-0003-1942-5845], Sun, Benjamin B. [0000-0001-6347-2281], Szymczak, Silke [0000-0002-8897-9035], Taylor, Kent D. [0000-0002-2756-4370], Thio, Chris H. L. [0000-0003-2623-7172], Uitterlinden, André G. [0000-0002-7276-3387], van der Harst, Pim [0000-0002-2713-686X], Verweij, Niek [0000-0002-4303-7685], Völker, Uwe [0000-0002-5689-3448], Wang, Chaolong [0000-0003-3945-1012], Yang, Qiong [0000-0002-3658-1375], Devuyst, Olivier [0000-0003-3744-4767], Edwards, Todd L. [0000-0003-4318-6119], Ho, Kevin [0000-0002-3054-8697], Morris, Andrew P. [0000-0002-6805-6014], Pendergrass, Sarah A. [0000-0002-0565-6522], Rotter, Jerome I. [0000-0001-7191-1723], Stefansson, Kari [0000-0003-1676-864X], Susztak, Katalin [0000-0002-1005-3726], Scholz, Markus [0000-0002-4059-1779], Butterworth, Adam S. [0000-0002-6915-9015], Hung, Adriana M. [0000-0002-3203-1608], Pattaro, Cristian [0000-0002-4119-0109], Köttgen, Anna [0000-0002-4671-3714], Apollo - University of Cambridge Repository, Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Epidemiology, Erasmus MC other, Pediatrics, Internal Medicine, Feitosa, Mary F [0000-0002-0933-2410], van der Most, Peter J [0000-0001-8450-3518], de Borst, Martin H [0000-0002-4127-8733], Felix, Janine F [0000-0002-9801-5774], Freedman, Barry I [0000-0003-0275-5530], Hicks, Andrew A [0000-0001-6320-0411], Ikram, M Arfan [0000-0003-0372-8585], Jaddoe, Vincent WV [0000-0003-2939-0041], Lindgren, Cecilia M [0000-0002-4903-9374], Mychaleckyj, Josyf C [0000-0003-2595-0005], Palmer, Nicholette D [0000-0001-8883-2511], Raffield, Laura M [0000-0002-7892-193X], Rice, Kenneth M [0000-0002-3071-7278], Smith, Albert V [0000-0003-1942-5845], Sun, Benjamin B [0000-0001-6347-2281], Taylor, Kent D [0000-0002-2756-4370], Thio, Chris HL [0000-0003-2623-7172], Uitterlinden, André G [0000-0002-7276-3387], Edwards, Todd L [0000-0003-4318-6119], Morris, Andrew P [0000-0002-6805-6014], Pendergrass, Sarah A [0000-0002-0565-6522], Rotter, Jerome I [0000-0001-7191-1723], Butterworth, Adam S [0000-0002-6915-9015], and Hung, Adriana M [0000-0002-3203-1608]
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0301 basic medicine ,Drosophila melanogaster/genetics ,Diabetes Mellitus/genetics ,LD SCORE REGRESSION ,030232 urology & nephrology ,45/43 ,General Physics and Astronomy ,Genome-wide association study ,BLOOD-PRESSURE ,Bioinformatics ,GLOMERULAR-FILTRATION-RATE ,Genome-wide association studies ,Diabetes mellitus genetics ,0302 clinical medicine ,Creatinine/urine ,Risk Factors ,Genome-wide ,Phenomics ,lcsh:Science ,ddc:616 ,Regulation of gene expression ,RISK ,Gene knockdown ,Kidney diseases ,Multidisciplinary ,HERITABILITY ,Albuminuria/genetics ,article ,Chromosome Mapping ,Kidney disease ,ddc ,3. Good health ,Drosophila melanogaster ,Creatinine ,Nýrnasjúkdómar ,692/4022/1585 ,Slit diaphragm ,Medical genetics ,medicine.symptom ,Erfðarannsóknir ,Medical Genetics ,medicine.medical_specialty ,Science ,631/208/205/2138 ,610 Medicine & health ,Biology ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,Meta-Analysis as Topic ,360 Social problems & social services ,Diabetes Mellitus ,medicine ,Animals ,Humans ,Albuminuria ,Genetic Predisposition to Disease ,ddc:610 ,EXCRETION RATE ,CARDIOVASCULAR EVENTS ,Genetic association ,Medicinsk genetik ,TRANS-EQTLS ,KIDNEY-DISEASE ,General Chemistry ,030104 developmental biology ,Gene Expression Regulation ,Genetic Loci ,COLLABORATIVE METAANALYSIS ,lcsh:Q ,Genome-Wide Association Study - Abstract
Publisher's version (útgefin grein)., Increased levels of the urinary albumin-to-creatinine ratio (UACR) are associated with higher risk of kidney disease progression and cardiovascular events, but underlying mechanisms are incompletely understood. Here, we conduct trans-ethnic (n = 564,257) and European-ancestry specific meta-analyses of genome-wide association studies of UACR, including ancestry- and diabetes-specific analyses, and identify 68 UACR-associated loci. Genetic correlation analyses and risk score associations in an independent electronic medical records database (n = 192,868) reveal connections with proteinuria, hyperlipidemia, gout, and hypertension. Fine-mapping and trans-Omics analyses with gene expression in 47 tissues and plasma protein levels implicate genes potentially operating through differential expression in kidney (including TGFB1, MUC1, PRKCI, and OAF), and allow coupling of UACR associations to altered plasma OAF concentrations. Knockdown of OAF and PRKCI orthologs in Drosophila nephrocytes reduces albumin endocytosis. Silencing fly PRKCI further impairs slit diaphragm formation. These results generate a priority list of genes and pathways for translational research to reduce albuminuria., Competing interests: Karsten B. Sieber is full-time employee of GlaxoSmithKline. Gardar Sveinbjornsson, Daniel F. Gudbjartsson, Hilma Holm, Unnur Thorsteinsdottir and Kari Stefansson are full-time employees of deCODE genetics, Amgen Inc. John Danesh is member of the Novartis Cardiovascular and Metabolic Advisory Board, received grant support from Novartis. Oscar H. Franco works in ErasmusAGE, a center for aging research across the life course funded by Nestlé Nutrition (Nestec Ltd.), Metagenics Inc., and AXA. Wolfgang Koenig received modest consultation fees for advisory board meetings from Amgen, DalCor, Kowa, Novartis, Pfizer and Sanofi, and modest personal fees for lectures from Amgen, AstraZeneca, Novartis, Pfizer and Sanofi. Anna I. Podgornaia and Dermot F. Reilly are employees of Merck Sharp Dohme Corp., Whitehouse Station, NJ, USA. Kevin Ho disclosed a research and financial relationship with Sanofi-Genzyme. Bruce M. Psaty serves on the DSMB of a clinical trial funded by the manufacturer (Zoll LifeCor) and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. Markus Scholz: Consultancy of and grant support from Merck Serono not related to this project. Adam S. Butterworth received grants from MSD, Pfizer, Novartis, Biogen and Bioverativ and personal fees from Novartis. Anna Köttgen received grant support from Gruenenthal not related to this project. The other authors declare no competing interests.
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- 2019
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41. Variations in Risk of End-Stage Renal Disease and Risk of Mortality in an International Study of Patients With Type 1 Diabetes and Advanced Nephropathy
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Andrzej T. Galecki, Stephanie Croall, Valma Harjutsalo, Stephen S. Rich, Josyf C. Mychaleckyj, Helen Nickerson, Chun Yi Wu, David-Alexandre Trégouët, Kevin P. McDonnell, Maria Lajer, Samy Hadjadj, Beata Gyorgy, Andrzej S. Krolewski, Peter Rossing, Michel Marre, Erkka Valo, Per-Henrik Groop, Jan Skupien, Adam M. Smiles, Niina Sandholm, Marlon Pragnell, Marcus G. Pezzolesi, Carol Forsblom, Tarunveer S. Ahluwalia, Clinicum, Research Programs Unit, Nefrologian yksikkö, Department of Medicine, University of Helsinki, Diabetes and Obesity Research Program, Per Henrik Groop / Principal Investigator, HUS Abdominal Center, and HUS Internal Medicine and Rehabilitation
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Male ,CARDIOVASCULAR MORTALITY ,Endocrinology, Diabetes and Metabolism ,Denmark ,Blood Pressure ,urologic and male genital diseases ,KIDNEY-FUNCTION ,Diabetic nephropathy ,0302 clinical medicine ,Risk Factors ,Diabetic Nephropathies ,030212 general & internal medicine ,Prospective Studies ,Finland ,ALL-CAUSE MORTALITY ,Hazard ratio ,PROTEINURIA ,Middle Aged ,3. Good health ,PREDICTS ,Cholesterol ,Creatinine ,Disease Progression ,Female ,France ,DETERIORATION ,Glomerular Filtration Rate ,Adult ,medicine.medical_specialty ,Renal function ,030209 endocrinology & metabolism ,Nephropathy ,End stage renal disease ,03 medical and health sciences ,Diabetes mellitus ,Internal medicine ,Internal Medicine ,medicine ,Albuminuria ,Humans ,Pathophysiology/Complications ,Proportional Hazards Models ,Advanced and Specialized Nursing ,Glycated Hemoglobin ,Type 1 diabetes ,DECLINE ,business.industry ,medicine.disease ,Diabetes Mellitus, Type 1 ,3121 General medicine, internal medicine and other clinical medicine ,ONSET ,PATTERNS ,Kidney Failure, Chronic ,business ,FOLLOW-UP ,Kidney disease ,Follow-Up Studies - Abstract
OBJECTIVE Patients with type 1 diabetes and diabetic nephropathy are targets for intervention to reduce high risk of end-stage renal disease (ESRD) and deaths. This study compares risks of these outcomes in four international cohorts. RESEARCH DESIGN AND METHODS In the 1990s and early 2000s, Caucasian patients with type 1 diabetes with persistent macroalbuminuria in chronic kidney disease stages 1–3 were identified in the Joslin Clinic (U.S., 432), Finnish Diabetic Nephropathy Study (FinnDiane) (Finland, 486), Steno Diabetes Center Copenhagen (Denmark, 368), and INSERM (France, 232) and were followed for 3–18 years with annual creatinine measurements to ascertain ESRD and deaths unrelated to ESRD. RESULTS During 15,685 patient-years, 505 ESRD cases (rate 32/1,000 patient-years) and 228 deaths unrelated to ESRD (rate 14/1,000 patient-years) occurred. Risk of ESRD was associated with male sex; younger age; lower estimated glomerular filtration rate (eGFR); higher albumin/creatinine ratio, HbA1c, and systolic blood pressure; and smoking. Risk of death unrelated to ESRD was associated with older age, smoking, and higher baseline eGFR. In adjusted analysis, ESRD risk was highest in Joslin versus reference FinnDiane (hazard ratio [HR] 1.44, P = 0.003) and lowest in Steno (HR 0.54, P < 0.001). Differences in eGFR slopes paralleled risk of ESRD. Mortality unrelated to ESRD was lowest in Joslin (HR 0.68, P = 0.003 vs. the other cohorts). Competing risk did not explain international differences in the outcomes. CONCLUSIONS Despite almost universal renoprotective treatment, progression to ESRD and mortality in patients with type 1 diabetes with advanced nephropathy are still very high and differ among countries. Finding causes of these differences may help reduce risk of these outcomes.
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- 2019
42. Whole genome sequence analyses of eGFR in 23,732 people representing multiple ancestries in the NHLBI trans-omics for precision medicine (TOPMed) consortium
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Shabnam Salimi, Laura M. Raffield, Steve T. Turner, Margaret R Irvin, Tanika N. Kelly, Xiaoming Liu, Chao A Hsiung, Yoichiro Kamatani, L. Adrienne Cupples, James P. Lash, Leslie J. Baier, James A. Perry, Wei Zhao, Sharon R. Browning, Robert L. Hanson, Betsi A Young, Daniel Levy, Sharon L.R. Kardia, Donna K. Arnett, Jiang He, Timothy A. Thornton, Josyf C. Mychaleckyj, Leslie A. Lange, Dhananjay Vaidya, Charles Kooperberg, Shih-Jen Hwang, Danyu Lin, Eric Boerwinkle, Lisa R. Yanek, Yukihide Momozawa, Koichi Matsuda, Ramachandran S. Vasan, Yun Li, Jerome I. Rotter, George J. Papanicolaou, Solomon K. Musani, Braxton D. Mitchell, Saori Sakaue, Lisa de las Fuentes, Bridget M Lin, Charles E Breeze, Stephen S. Rich, Jennifer A. Smith, Yukinori Okada, Rasika A. Mathias, Bruce M. Psaty, Afshin Parsa, Benjamin D. Heavner, Sayuko Kobes, Jennifer A. Brody, Adrienne Tin, Kelsey Grinde, Huijun Qian, Wayne H-H Sheu, Yi-Jen Hung, Adolfo Correa, Deepti Jain, Anna Köttgen, Deborah A. Nickerson, Gonzalo Abecasis, Xuenan Mi, Xiuqing Guo, Alexander P. Reiner, Kent D. Taylor, Robert B. Wallace, Kenichi Yamamoto, Holly Kramer, Jianwen Cai, Albert V. Smith, Alan R. Shuldiner, Ida Yii-Der Chen, and Nora Franceschini
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Male ,0301 basic medicine ,lcsh:Medicine ,Ancestry-specific variants ,0302 clinical medicine ,Gene Frequency ,and Blood Institute (U.S.) ,2.1 Biological and endogenous factors ,Public Health Surveillance ,Aetiology ,Precision Medicine ,Lung ,Genetics ,lcsh:R5-920 ,Single Nucleotide ,Genomics ,General Medicine ,030220 oncology & carcinogenesis ,Public Health and Health Services ,lcsh:Medicine (General) ,Biotechnology ,Glomerular Filtration Rate ,Research Paper ,Clinical Sciences ,Genetic relationship ,Biology ,Polymorphism, Single Nucleotide ,General Biochemistry, Genetics and Molecular Biology ,Quantitative Trait ,03 medical and health sciences ,Quantitative Trait, Heritable ,Humans ,Genetic Predisposition to Disease ,Polymorphism ,Heritable ,Gene ,Alleles ,Kidney traits ,Whole genome sequencing ,Whole Genome Sequencing ,Human Genome ,lcsh:R ,Rare variants ,National Heart ,Omics ,Precision medicine ,United States ,Minor allele frequency ,Good Health and Well Being ,030104 developmental biology ,National Heart, Lung, and Blood Institute (U.S.) ,Genome-Wide Association Study - Abstract
BackgroundGenetic factors that influence kidney traits have been understudied for low frequency and ancestry-specific variants.MethodsWe combined whole genome sequencing (WGS) data from 23,732 participants from 10 NHLBI Trans-Omics for Precision Medicine (TOPMed) Program multi-ethnic studies to identify novel loci for estimated glomerular filtration rate (eGFR). Participants included European, African, East Asian, and Hispanic ancestries. We applied linear mixed models using a genetic relationship matrix estimated from the WGS data and adjusted for age, sex, study, and ethnicity.FindingsWhen testing single variants, we identified three novel loci driven by low frequency variants more commonly observed in non-European ancestry (PRKAA2, rs180996919, minor allele frequency [MAF] 0.04%, P=6.1×10-11; METTL8, rs116951054, MAF 0.09%, P=4.5×10-9; and MATK, rs539182790, MAF 0.05%, P=3.4×10-9). We also replicated two known loci for common variants (rs2461702, MAF=0.49, P=1.2×10-9, nearest gene GATM, and rs71147340, MAF=0.34, P=3.3×10-9, CDK12). Testing aggregated variants within a gene identified the MAF gene. A statistical approach based on local ancestry helped to identify replication samples for ancestry-specific variants.InterpretationThis study highlights challenges in studying variants influencing kidney traits that are low frequency in populations and more common in non-European ancestry.
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- 2021
43. Genetic Predictors of Cardiovascular Mortality During Intensive Glycemic Control in Type 2 Diabetes: Findings From the ACCORD Clinical Trial
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Gaia Chiara Mannino, Hertzel C. Gerstein, Guillaume Paré, He Gao, Alison A. Motsinger-Reif, Jan Skupien, John B. Buse, Santica M. Marcovina, Timothy Hastings, Michael J. Wagner, Christine Mendonca, Peter Kraft, Hetal Shah, Patinut Buranasupkajorn, Alessandro Doria, Skylar W. Marvel, Josyf C. Mychaleckyj, Ronald J. Sigal, and Mario Luca Morieri
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0301 basic medicine ,Blood Glucose ,Male ,medicine.medical_specialty ,Glycated Hemoglobin A ,Genotype ,Endocrinology, Diabetes and Metabolism ,Genome-wide association study ,Type 2 diabetes ,030204 cardiovascular system & hematology ,Polymorphism, Single Nucleotide ,Cohort Studies ,03 medical and health sciences ,Aged ,Cardiovascular Diseases ,Diabetes Mellitus, Type 2 ,Female ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Hypoglycemic Agents ,Middle Aged ,Proportional Hazards Models ,Randomized Controlled Trials as Topic ,Risk Factors ,0302 clinical medicine ,Internal medicine ,Diabetes mellitus ,Internal Medicine ,medicine ,Diabetes Mellitus ,Polymorphism ,Intensive care medicine ,Glycemic ,Advanced and Specialized Nursing ,Glycated Hemoglobin ,Proportional hazards model ,business.industry ,Hazard ratio ,Single Nucleotide ,medicine.disease ,3. Good health ,030104 developmental biology ,Cohort ,business ,Type 2 ,Emerging Science, Concepts, and Approach to Precision Medicine ,Cohort study - Abstract
OBJECTIVE To identify genetic determinants of increased cardiovascular mortality among subjects with type 2 diabetes who underwent intensive glycemic therapy in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial. RESEARCH DESIGN AND METHODS A total of 6.8 million common variants were analyzed for genome-wide association with cardiovascular mortality among 2,667 self-reported white subjects in the ACCORD intensive treatment arm. Significant loci were examined in the entire ACCORD white genetic dataset (n = 5,360) for their modulation of cardiovascular responses to glycemic treatment assignment and in a Joslin Clinic cohort (n = 422) for their interaction with long-term glycemic control on cardiovascular mortality. RESULTS Two loci, at 10q26 and 5q13, attained genome-wide significance as determinants of cardiovascular mortality in the ACCORD intensive arm (P = 9.8 × 10−9 and P = 2 × 10−8, respectively). A genetic risk score (GRS) defined by the two variants was a significant modulator of cardiovascular mortality response to treatment assignment in the entire ACCORD white genetic dataset. Participants with GRS = 0 experienced a fourfold reduction in cardiovascular mortality in response to intensive treatment (hazard ratio [HR] 0.24 [95% CI 0.07–0.86]), those with GRS = 1 experienced no difference (HR 0.92 [95% CI 0.54–1.56]), and those with GRS ≥2 experienced a threefold increase (HR 3.08 [95% CI 1.82–5.21]). The modulatory effect of the GRS on the association between glycemic control and cardiovascular mortality was confirmed in the Joslin cohort (P = 0.029). CONCLUSIONS Two genetic variants predict the cardiovascular effects of intensive glycemic control in ACCORD. Further studies are warranted to determine whether these findings can be translated into new strategies to prevent cardiovascular complications of diabetes.
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- 2016
44. Delayed Dosing of Oral Rotavirus Vaccine Demonstrates Decreased Risk of Rotavirus Gastroenteritis Associated With Serum Zinc: A Randomized Controlled Trial
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Dorothy M. Dickson, Marya P. Carmolli, Uma Nayak, Beth D. Kirkpatrick, E. Ross Colgate, Firdausi Qadri, Josyf C. Mychaleckyj, K. Zaman, Sean A. Diehl, Masud Alam, William A. Petri, Mary Claire Walsh, and Rashidul Haque
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Male ,Rotavirus ,0301 basic medicine ,Microbiology (medical) ,medicine.medical_specialty ,Administration, Oral ,medicine.disease_cause ,Rotavirus Infections ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Internal medicine ,medicine ,Humans ,030212 general & internal medicine ,Seroconversion ,Bangladesh ,business.industry ,Incidence ,Incidence (epidemiology) ,Infant, Newborn ,Rotavirus Vaccines ,Odds ratio ,Rotavirus vaccine ,Gastroenteritis ,Vaccination ,Zinc ,Diarrhea ,030104 developmental biology ,Infectious Diseases ,Immunology ,Female ,medicine.symptom ,business ,Breast feeding - Abstract
Background Rotavirus is the world's leading cause of childhood diarrheal death. Despite successes, oral rotavirus vaccines are less effective in developing countries. In an urban slum of Dhaka, we performed active diarrhea surveillance to evaluate monovalent G1P[8] rotavirus vaccine (RV1) efficacy and understand variables contributing to risk of rotavirus diarrhea (RVD). Methods We performed a randomized controlled trial of monovalent oral rotavirus vaccine (RV1). Seven hundred healthy infants received RV1 or no RV1 (1:1) using delayed dosing (10 and 17 weeks) and were followed for 1 year. Intensive diarrhea surveillance was performed. The primary outcome was ≥1 episode of RVD. Nutritional, socioeconomic, and immunologic factors were assessed by logistic regression best-subsets analysis for association with risk of RVD and interactions with vaccine arm. Results Incidence of all RVD was 38.3 cases per 100 person-years. Per-protocol RV1 efficacy was 73.5% (95% confidence interval [CI], 45.8%-87.0%) against severe RVD and 51% (95% CI, 33.8%-63.7%) against all RVD. Serum zinc level (odds ratio [OR], 0.77; P = .002) and lack of rotavirus immunoglobulin A (IgA) seroconversion (OR, 1.95; P = .018) were associated with risk of RVD, independent of vaccination status. Water treatment and exclusive breastfeeding were of borderline significance. Factors not associated with RVD included height for age at 10 weeks, vitamin D, retinol binding protein, maternal education, household income, and sex. Conclusions In an urban slum with high incidence of RVD, the efficacy of RV1 against severe RVD was higher than anticipated in the setting of delayed dosing. Lower serum zinc level and lack of IgA seroconversion were associated with increased risk of RVD independent of vaccination. Clinical trials registration NCT01375647.
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- 2016
45. Long-Term Effects of Intensive Glycemic and Blood Pressure Control and Fenofibrate Use on Kidney Outcomes
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Carolyn F. Pedley, Lois A. Katz, Debra L. Simmons, John B. Buse, Faramarz Ismail-Beigi, Josyf C. Mychaleckyj, Ronald J. Sigal, Vasilios Papademetriou, Amy K. Mottl, and Timothy E. Craven
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Adult ,Male ,Blood Glucose ,medicine.medical_specialty ,Simvastatin ,Time Factors ,Epidemiology ,medicine.medical_treatment ,Renal function ,Blood Pressure ,Type 2 diabetes ,030204 cardiovascular system & hematology ,Critical Care and Intensive Care Medicine ,Kidney ,Diabetic nephropathy ,03 medical and health sciences ,0302 clinical medicine ,Fenofibrate ,Renal Dialysis ,Diabetes mellitus ,Internal medicine ,medicine ,Albuminuria ,Hypoglycemic Agents ,Humans ,Diabetic Nephropathies ,030212 general & internal medicine ,Dialysis ,Antihypertensive Agents ,Glycemic ,Aged ,Hypolipidemic Agents ,Glycated Hemoglobin ,Transplantation ,business.industry ,Hazard ratio ,Editorials ,Original Articles ,Middle Aged ,medicine.disease ,Confidence interval ,Diabetes Mellitus, Type 2 ,Nephrology ,Creatinine ,Kidney Failure, Chronic ,Female ,business ,Music ,Glomerular Filtration Rate - Abstract
BACKGROUND AND OBJECTIVES: In people with type 2 diabetes, aggressive control of glycemia, BP, and lipids have resulted in conflicting short-term (
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- 2018
46. Trans-ethnic genome-wide association study of kidney function provides novel insight into effector genes and causal effects on kidney-specific disease aetiologies
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Nicole Dueker, Leslie J. Raffel, Andrew P. Morris, Nicholas G. Martin, Fadi J. Charchar, Gu Zhu, George Davey Smith, Eli Ipp, Nora Franceschini, Charles Kooperberg, Benjamin D. Humphreys, James P. Cook, Xiuqing Guo, Ali G. Gharavi, Anubha Mahajan, Miguel Cruz, Pamela A. F. Madden, Cathy C. Laurie, Johan Ärnlöv, Stephen S. Rich, Thu H. Le, Esteban J. Parra, Niels Wacher-Rodarte, Maciej Tomaszewski, John Whitfield, Susan H. Blanton, Harold Snieder, Erik Ingelsson, Ralph L. Sacco, Vilmantas Giedraitis, Adrienne M. Stilp, Johan Sundstrom, Koichi Matsuda, Peter J. van der Most, Yingchang Lu, Yii-Der Ida Chen, Erwin P. Bottinger, Krzysztof Kiryluk, Yoichiro Kamatani, Martin H. de Borst, Andrew C. Heath, Elena Sanchez, Girish N. Nadkarni, Yang Hai, Thomas A. Buchanan, Artur Akbarov, James Eales, Haojia Wu, Yukinori Okada, Jerome I. Rotter, Cecilia M. Lindgren, Tanja Rundek, Anders Larsson, Michiaki Kubo, Grant W. Montgomery, Adan Valladares-Salgado, Kyle J Gaulton, Gibran Hemani, Ruth J. F. Loos, Jeffrey Haessler, Jeffrey Damman, Holly J Mattix-Kramer, Anny H. Xiang, Josyf C. Mychaleckyj, Jianwen Cai, Lars Lind, George J. Papanicolaou, and Kent D. Taylor
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0303 health sciences ,Kidney ,EZH2 ,Renal function ,Genome-wide association study ,Disease ,Biology ,medicine.disease ,Bioinformatics ,3. Good health ,03 medical and health sciences ,0302 clinical medicine ,medicine.anatomical_structure ,medicine ,Gene ,030217 neurology & neurosurgery ,030304 developmental biology ,Kidney disease ,Genetic association - Abstract
Chronic kidney disease (CKD) affects ∼10% of the global population, with considerable ethnic differences in prevalence and aetiology. We assembled genome-wide association studies (GWAS)1-3 of estimated glomerular filtration rate (eGFR), a measure of kidney function that defines CKD, in 312,468 individuals from four ancestry groups. We identified 93 loci (20 novel), which were delineated to 127 distinct association signals. These signals were homogenous across ancestries, and were enriched for protein-coding exons, kidney-specific histone modifications, and transcription factor binding sites for HDAC2 and EZH2. Fine-mapping revealed 40 high-confidence variants driving eGFR associations and highlighted potential causal genes with cell-type specific expression in glomerulus, and proximal and distal nephron. Mendelian randomisation (MR) supported causal effects of eGFR on overall and cause-specific CKD, kidney stone formation, diastolic blood pressure (DBP) and hypertension. These results define novel molecular mechanisms and effector genes for eGFR, offering insight into clinical outcomes and routes to CKD treatment development.
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- 2018
47. Meta-analysis of exome array data identifies six novel genetic loci for lung function [version 3; referees: 2 approved]
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Victoria E. Jackson, Jeanne C. Latourelle, Louise V. Wain, Albert V. Smith, Megan L. Grove, Traci M. Bartz, Ma'en Obeidat, Michael A. Province, Wei Gao, Beenish Qaiser, David J. Porteous, Patricia A. Cassano, Tarunveer S. Ahluwalia, Niels Grarup, Jin Li, Elisabeth Altmaier, Jonathan Marten, Sarah E. Harris, Ani Manichaikul, Tess D. Pottinger, Ruifang Li-Gao, Allan Lind-Thomsen, Anubha Mahajan, Lies Lahousse, Medea Imboden, Alexander Teumer, Bram Prins, Leo-Pekka Lyytikäinen, Gudny Eiriksdottir, Nora Franceschini, Colleen M. Sitlani, Jennifer A. Brody, Yohan Bossé, Wim Timens, Aldi Kraja, Anu Loukola, Wenbo Tang, Yongmei Liu, Jette Bork-Jensen, Johanne M. Justesen, Allan Linneberg, Leslie A. Lange, Rajesh Rawal, Stefan Karrasch, Jennifer E. Huffman, Blair H. Smith, Gail Davies, Kristin M. Burkart, Josyf C. Mychaleckyj, Tobias N. Bonten, Stefan Enroth, Lars Lind, Guy G. Brusselle, Ashish Kumar, Beate Stubbe, Understanding Society Scientific Group, Mika Kähönen, Annah B. Wyss, Bruce M. Psaty, Susan R. Heckbert, Ke Hao, Taina Rantanen, Stephen B. Kritchevsky, Kurt Lohman, Tea Skaaby, Charlotta Pisinger, Torben Hansen, Holger Schulz, Ozren Polasek, Archie Campbell, John M. Starr, Stephen S. Rich, Dennis O. Mook-Kanamori, Åsa Johansson, Erik Ingelsson, André G. Uitterlinden, Stefan Weiss, Olli T. Raitakari, Vilmundur Gudnason, Kari E. North, Sina A. Gharib, Don D. Sin, Kent D. Taylor, George T. O'Connor, Jaakko Kaprio, Tamara B. Harris, Oluf Pederson, Henrik Vestergaard, James G. Wilson, Konstantin Strauch, Caroline Hayward, Shona Kerr, Ian J. Deary, R. Graham Barr, Renée de Mutsert, Ulf Gyllensten, Andrew P. Morris, M. Arfan Ikram, Nicole Probst-Hensch, Sven Gläser, Eleftheria Zeggini, Terho Lehtimäki, David P. Strachan, Josée Dupuis, Alanna C. Morrison, Ian P. Hall, Martin D. Tobin, and Stephanie J. London
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lcsh:R ,lcsh:Medicine ,lcsh:Q ,Genomics ,respiratory system ,lcsh:Science ,respiratory tract diseases - Abstract
Background: Over 90 regions of the genome have been associated with lung function to date, many of which have also been implicated in chronic obstructive pulmonary disease. Methods: We carried out meta-analyses of exome array data and three lung function measures: forced expiratory volume in one second (FEV1), forced vital capacity (FVC) and the ratio of FEV1 to FVC (FEV1/FVC). These analyses by the SpiroMeta and CHARGE consortia included 60,749 individuals of European ancestry from 23 studies, and 7,721 individuals of African Ancestry from 5 studies in the discovery stage, with follow-up in up to 111,556 independent individuals. Results: We identified significant (P
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- 2018
48. A Genetic Locus on Chromosome 2q24 Predicting Peripheral Neuropathy Risk in Type 2 Diabetes
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Alessandro Doria, Bruce A. Perkins, Yaling Tang, Rodica Pop-Busui, John B. Buse, Hetal Shah, Alison A. Motsinger-Reif, Josyf C. Mychaleckyj, and Michael J. Wagner
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medicine.medical_specialty ,business.industry ,Endocrinology, Diabetes and Metabolism ,Single-nucleotide polymorphism ,Genome-wide association study ,Type 2 diabetes ,medicine.disease ,Minor allele frequency ,Peripheral neuropathy ,Internal medicine ,Diabetes mellitus ,Internal Medicine ,medicine ,SNP ,Allele ,business - Abstract
Diabetic peripheral neuropathy (DPN) is a significant contributor to the increased morbidity associated with type 2 diabetes (T2D). However, the risk of developing DPN varies among T2D patients, possibly due to genetic factors. We aimed to identify genetic predictors of DPN using an unbiased genome-wide association (GWAS) approach in Action to Control Cardiovascular Risk in Diabetes (ACCORD)—a large trial of intensive glycemic control in subjects with T2D and high CVD risk. Occurrence of DPN was defined as a clinical Michigan Neuropathy Screening Instrument (MNSI) score >2.0 at baseline or during follow-up. Using logistic regression, we conducted a GWAS, testing 6.8 million common single nucleotide polymorphisms (SNPs) among 4,384 DPN cases and 784 DPN-negative controls of white origin for whom genetic data were available. A locus on chromosome 2q24 reached GWAS significance (p=1.9×10-9). The minor allele of the lead SNP (rs13417783, minor allele frequency=0.14) decreased DPN odds by 36% (OR 0.64, 95% CI 0.59-0.69)—an effect not influenced by the glycemic treatment assignment (p for interaction=0.6). Adjacent to this SNP lies a cluster of genes coding for human voltage-gated sodium channels (SCN1A, SCN2A, SCN3A, SCN7A, and SCN9A) that are expressed in neurons and are mutated in monogenic forms of peripheral neuropathy and epilepsy. In an expression quantitative trait locus (eQTL) analysis, the minor (protective) allele of this SNP was associated with higher expression of SCN2A (P=0.0009) in tibial nerve. Other loci reaching notable significance (p≤1×10-6) were 8p23 in the gene CSMD1, previously implicated in epilepsy, and 11q25 in OPCML, an opioid-binding protein. In summary, we have discovered a novel genetic locus predicting DPN risk. Pending further investigation, these findings may provide better mechanistic insights into the pathophysiology of DPN, hopefully leading to the development of novel pharmacological interventions to prevent or treat this diabetic complication. Disclosure Y. Tang: None. J. Mychaleckyj: None. B.A. Perkins: Advisory Panel; Self; Boehringer Ingelheim GmbH. Research Support; Self; Boehringer Ingelheim GmbH, Novo Nordisk Inc.. Advisory Panel; Self; Novo Nordisk Inc., Abbott. Speaker's Bureau; Self; Abbott, Janssen Pharmaceuticals, Inc.. Advisory Panel; Self; Insulet Corporation. Speaker's Bureau; Self; Insulet Corporation, Dexcom, Inc. R. Pop-Busui: Research Support; Self; AstraZeneca. M.J. Wagner: None. A. Motsinger-Reif: None. J.B. Buse: Other Relationship; Self; ADOCIA, AstraZeneca, Dexcom, Inc., Elcelyx Therapeutics, Inc., Eli Lilly and Company, Fractyl Laboratories, Inc., Intarcia Therapeutics, Inc., Lexicon Pharmaceuticals, Inc., Metavention, NovaTarg, Novo Nordisk A/S, Sanofi, VTV Therapeutics. Research Support; Self; Boehringer Ingelheim GmbH, Johnson & Johnson Services, Inc., Theracos, Inc.. Other Relationship; Self; Shenzhen Hightide Biopharmaceutical, Ltd.. Research Support; Self; National Heart, Lung, and Blood Institute, National Center for Advancing Translational Sciences. Other Relationship; Self; National Institute of Diabetes and Digestive and Kidney Diseases, American Diabetes Association. Research Support; Self; Patient-Centered Outcomes Research Institute. Other Relationship; Self; National Institute of Environmental Health Sciences. H. Shah: None. A. Doria: Research Support; Self; Sanofi-Aventis.
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- 2018
49. Meta-analysis of exome array data identifies six novel genetic loci for lung function [version 2; referees: 2 approved]
- Author
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Victoria E. Jackson, Jeanne C. Latourelle, Louise V. Wain, Albert V. Smith, Megan L. Grove, Traci M. Bartz, Ma'en Obeidat, Michael A. Province, Wei Gao, Beenish Qaiser, David J. Porteous, Patricia A. Cassano, Tarunveer S. Ahluwalia, Niels Grarup, Jin Li, Elisabeth Altmaier, Jonathan Marten, Sarah E. Harris, Ani Manichaikul, Tess D. Pottinger, Ruifang Li-Gao, Allan Lind-Thomsen, Anubha Mahajan, Lies Lahousse, Medea Imboden, Alexander Teumer, Bram Prins, Leo-Pekka Lyytikäinen, Gudny Eiriksdottir, Nora Franceschini, Colleen M. Sitlani, Jennifer A. Brody, Yohan Bossé, Wim Timens, Aldi Kraja, Anu Loukola, Wenbo Tang, Yongmei Liu, Jette Bork-Jensen, Johanne M. Justesen, Allan Linneberg, Leslie A. Lange, Rajesh Rawal, Stefan Karrasch, Jennifer E. Huffman, Blair H. Smith, Gail Davies, Kristin M. Burkart, Josyf C. Mychaleckyj, Tobias N. Bonten, Stefan Enroth, Lars Lind, Guy G. Brusselle, Ashish Kumar, Beate Stubbe, Understanding Society Scientific Group, Mika Kähönen, Annah B. Wyss, Bruce M. Psaty, Susan R. Heckbert, Ke Hao, Taina Rantanen, Stephen B. Kritchevsky, Kurt Lohman, Tea Skaaby, Charlotta Pisinger, Torben Hansen, Holger Schulz, Ozren Polasek, Archie Campbell, John M. Starr, Stephen S. Rich, Dennis O. Mook-Kanamori, Åsa Johansson, Erik Ingelsson, André G. Uitterlinden, Stefan Weiss, Olli T. Raitakari, Vilmundur Gudnason, Kari E. North, Sina A. Gharib, Don D. Sin, Kent D. Taylor, George T. O'Connor, Jaakko Kaprio, Tamara B. Harris, Oluf Pederson, Henrik Vestergaard, James G. Wilson, Konstantin Strauch, Caroline Hayward, Shona Kerr, Ian J. Deary, R. Graham Barr, Renée de Mutsert, Ulf Gyllensten, Andrew P. Morris, M. Arfan Ikram, Nicole Probst-Hensch, Sven Gläser, Eleftheria Zeggini, Terho Lehtimäki, David P. Strachan, Josée Dupuis, Alanna C. Morrison, Ian P. Hall, Martin D. Tobin, and Stephanie J. London
- Subjects
lcsh:R ,lcsh:Medicine ,lcsh:Q ,Genomics ,respiratory system ,lcsh:Science ,respiratory tract diseases - Abstract
Background: Over 90 regions of the genome have been associated with lung function to date, many of which have also been implicated in chronic obstructive pulmonary disease. Methods: We carried out meta-analyses of exome array data and three lung function measures: forced expiratory volume in one second (FEV1), forced vital capacity (FVC) and the ratio of FEV1 to FVC (FEV1/FVC). These analyses by the SpiroMeta and CHARGE consortia included 60,749 individuals of European ancestry from 23 studies, and 7,721 individuals of African Ancestry from 5 studies in the discovery stage, with follow-up in up to 111,556 independent individuals. Results: We identified significant (P
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- 2018
50. Genetic tools for coronary risk assessment in type 2 diabetes: A cohort study from the ACCORD clinical trial
- Author
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Marie Pigeyre, Michael J. Wagner, Hertzel C. Gerstein, Josyf C. Mychaleckyj, Daniel M. Rotroff, Alessandro Doria, Mario Luca Morieri, Santica M. Marcovina, Timothy Hastings, Peter Kraft, Hetal Shah, Patinut Buranasupkajorn, Guillaume Paré, Christine Mendonca, He Gao, Ronald J. Sigal, Alison A. Motsinger-Reif, John B. Buse, and Jennifer Sjaarda
- Subjects
0301 basic medicine ,Male ,Simvastatin ,Endocrinology, Diabetes and Metabolism ,Type 2 diabetes ,Coronary Artery Disease ,030204 cardiovascular system & hematology ,Coronary artery disease ,Cohort Studies ,0302 clinical medicine ,Fenofibrate ,Risk Factors ,Myocardial infarction ,education.field_of_study ,Hazard ratio ,Aged ,Diabetes Mellitus, Type 2 ,Diabetic Angiopathies ,Female ,Genetic Predisposition to Disease ,Humans ,Middle Aged ,Molecular Diagnostic Techniques ,Polymorphism, Single Nucleotide ,Risk Assessment ,Genetic Association Studies ,Genetic Markers ,Single Nucleotide ,Type 2 ,Cohort study ,medicine.medical_specialty ,Cardiovascular and Metabolic Risk ,Population ,03 medical and health sciences ,Diabetes mellitus ,Internal medicine ,Internal Medicine ,medicine ,Diabetes Mellitus ,Polymorphism ,education ,Advanced and Specialized Nursing ,Unstable angina ,business.industry ,fungi ,medicine.disease ,030104 developmental biology ,business - Abstract
OBJECTIVE We evaluated whether the increasing number of genetic loci for coronary artery disease (CAD) identified in the general population could be used to predict the risk of major CAD events (MCE) among participants with type 2 diabetes at high cardiovascular risk. RESEARCH DESIGN AND METHODS A weighted genetic risk score (GRS) derived from 204 variants representative of all the 160 CAD loci identified in the general population as of December 2017 was calculated in 5,360 and 1,931 white participants in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) and Outcome Reduction With Initial Glargine Intervention (ORIGIN) studies, respectively. The association between GRS and MCE (combining fatal CAD events, nonfatal myocardial infarction, and unstable angina) was assessed by Cox proportional hazards regression. RESULTS The GRS was associated with MCE risk in both ACCORD and ORIGIN (hazard ratio [HR] per SD 1.27, 95% CI 1.18–1.37, P = 4 × 10−10, and HR per SD 1.35, 95% CI 1.16–1.58, P = 2 × 10−4, respectively). This association was independent from interventions tested in the trials and persisted, though attenuated, after adjustment for classic cardiovascular risk predictors. Adding the GRS to clinical predictors improved incident MCE risk classification (relative integrated discrimination improvement +8%, P = 7 × 10−4). The performance of this GRS was superior to that of GRS based on the smaller number of CAD loci available in previous years. CONCLUSIONS When combined into a GRS, CAD loci identified in the general population are associated with CAD also in type 2 diabetes. This GRS provides a significant improvement in the ability to correctly predict future MCE, which may increase further with the discovery of new CAD loci.
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- 2018
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