Robert J. Carroll

ORCID: 0000-0003-3802-8183
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Research Areas
  • Genetic Associations and Epidemiology
  • Biomedical Text Mining and Ontologies
  • Proteins in Food Systems
  • Meat and Animal Product Quality
  • Genomics and Rare Diseases
  • Systemic Lupus Erythematosus Research
  • Renal Diseases and Glomerulopathies
  • Machine Learning in Healthcare
  • Bioinformatics and Genomic Networks
  • Scientific Computing and Data Management
  • Collagen: Extraction and Characterization
  • 3D IC and TSV technologies
  • Rheumatoid Arthritis Research and Therapies
  • X-ray Diffraction in Crystallography
  • Chronic Kidney Disease and Diabetes
  • Electronic Health Records Systems
  • Crystallization and Solubility Studies
  • Gene expression and cancer classification
  • Silk-based biomaterials and applications
  • Epigenetics and DNA Methylation
  • Protein Hydrolysis and Bioactive Peptides
  • Research Data Management Practices
  • Health, Environment, Cognitive Aging
  • Artificial Intelligence in Healthcare
  • Infant Nutrition and Health

Vanderbilt University Medical Center
2016-2024

Vanderbilt University
2013-2024

Novavax (United States)
2024

Syracuse University
2020-2023

Międzyleski Szpital Specjalistyczny w Warszawie
2023

Florida State University
2019

SUNY Polytechnic Institute
2015-2019

Vanderbilt Health
2016

University at Albany, State University of New York
2014

Pfizer (United Kingdom)
2010-2012

Background The phecode system was built upon the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) for phenome-wide association studies (PheWAS) using electronic health record (EHR). Objective goal this paper to develop and perform an initial evaluation maps from 10th Revision (ICD-10) (ICD-10-CM) codes phecodes. Methods We mapped ICD-10 ICD-10-CM phecodes a number methods resources, such as concept relationships explicit mappings Centers Medicare...

10.2196/14325 article EN cc-by JMIR Medical Informatics 2019-11-29

Summary: Phenome-wide association studies (PheWAS) have been used to replicate known genetic associations and discover new phenotype for variants. This PheWAS implementation allows users translate ICD-9 codes case control groups, perform analyses using these and/or other phenotypes with covariate adjustments plot the results. We demonstrate methods by replicating a on rs3135388 (near HLA-DRB, associated multiple sclerosis) performing novel an individual’s maximum white blood cell count (WBC)...

10.1093/bioinformatics/btu197 article EN Bioinformatics 2014-04-14

To compare three groupings of Electronic Health Record (EHR) billing codes for their ability to represent clinically meaningful phenotypes and replicate known genetic associations. The tested coding systems were the International Classification Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes, Agency Healthcare Research Quality Software ICD-9-CM (CCS), manually curated "phecodes" designed facilitate phenome-wide association studies (PheWAS) in EHRs.We selected 100 disease...

10.1371/journal.pone.0175508 article EN cc-by PLoS ONE 2017-07-07
Adrienne Tin Jonathan Marten Victoria L. Halperin Kuhns Yong Li Matthias Wuttke and 95 more Holger Kirsten Karsten B. Sieber Chengxiang Qiu Mathias Gorski Zhi Yu Ayush Giri Garðar Sveinbjörnsson Man Li Audrey Y. Chu Anselm Hoppmann Luke J. O’Connor Bram P. Prins Teresa Nutile Damia Noce Masato Akiyama Massimiliano Cocca Sahar Ghasemi Peter J. van der Most Katrin Horn Yizhe Xu Christian Fuchsberger Sanaz Sedaghat Saima Afaq Najaf Amin Johan Ärnlöv Stephan J. L. Bakker Nisha Bansal Daniela Baptista Sven Bergmann Mary L. Biggs Ginevra Biino Eric Boerwinkle Erwin P. Böttinger Thibaud Boutin Marco Brumat Ralph Burkhardt Eric Campana Archie Campbell Harry Campbell Robert J. Carroll Eulalia Catamo John C. Chambers Marina Ciullo Maria Pina Concas Josef Coresh Tanguy Corre Daniele Cusi Cinzia Sala Martin H. de Borst Alessandro De Grandi Renée de Mutsert Aiko P. J. de Vries Graciela Delgado Ayşe Demirkan Olivier Devuyst Katalin Dittrich Kai‐Uwe Eckardt Georg Ehret Karlhans Endlich Michele K. Evans Ron T. Gansevoort Paolo Gasparini Vilmantas Giedraitis Christian Gieger Giorgia Girotto Martin Gögele Scott D. Gordon Daníel F. Guðbjartsson Vilmundur Guðnason Toomas Haller Pavel Hamet Tamara B. Harris Caroline Hayward Andrew A. Hicks Edith Hofer Hilma Hólm Wei Huang Nina Hutri‐Kähönen Shih‐Jen Hwang M. Arfan Ikram Raychel M. Lewis Erik Ingelsson Jóhanna Jakobsdóttir Ingileif Jónsdóttir Helgi Jónsson Peter K. Joshi Navya Shilpa Josyula Bettina Jung Mika Kähönen Yoichiro Kamatani Masahiro Kanai Shona M. Kerr Wieland Kieß Marcus E. Kleber Wolfgang Köenig

10.1038/s41588-019-0504-x article EN Nature Genetics 2019-10-01
Alexander G. Bick Ginger Metcalf Kelsey Mayo Lee Lichtenstein Shimon Rura and 95 more Robert J. Carroll Anjene Musick Jodell E. Linder I. King Jordan Shashwat Deepali Nagar Shivam Sharma Robert Meller Melissa Basford Eric Boerwinkle Mine Cicek Kimberly F. Doheny Evan E. Eichler Stacey Gabriel Richard A. Gibbs David Glazer Paul A. Harris Gail P. Jarvik Anthony Philippakis Heidi L. Rehm Dan M. Roden Stephen N. Thibodeau Scott Topper Ashley L. Blegen Samantha J. Wirkus Victoria A. Wagner Jeffrey G. Meyer Mine Cicek Donna M. Muzny Eric Venner Michelle Mawhinney Sean Griffith Elvin Hsu Hua Ling Marcia K. Adams Kimberly Walker Taobo Hu HarshaVardhan Doddapaneni Christie Kovar Mullai Murugan Shannon Dugan Ziad Khan Eric Boerwinkle Niall J. Lennon Christina Austin‐Tse Eric Banks Michael Gatzen Namrata Gupta Emma Henricks Katie Larsson Sheli McDonough Steven M. Harrison Christopher Kachulis Matthew S. Lebo Cynthia L. Neben Marcie Steeves Alicia Y. Zhou Joshua D. Smith Christian D. Frazar Colleen Davis Karynne Patterson Marsha M. Wheeler Sean McGee Christina M. Lockwood Brian H. Shirts Colin C. Pritchard Mitzi L. Murray Valeria Vasta Dru F. Leistritz M Richardson Jillian G. Buchan Aparna Radhakrishnan Niklas Krumm Brenna Ehmen Sophie Schwartz M. Morgan T. Aster Kristian Cibulskis Andrea Haessly Rebecca Asch Aurora Cremer Kylee Degatano Akum Shergill Laura D. Gauthier Samuel K. Lee Aaron Hatcher George Grant Genevieve R. Brandt Miguel Covarrubias Eric Banks Ashley Able Ashley E. Green Robert J. Carroll Jennifer Zhang Henry Robert Condon Y. Wang Moira K. Dillon

Abstract Comprehensively mapping the genetic basis of human disease across diverse individuals is a long-standing goal for field genetics 1–4 . The All Us Research Program longitudinal cohort study aiming to enrol group at least one million USA accelerate biomedical research and improve health 5,6 Here we describe programme’s genomics data release 245,388 clinical-grade genome sequences. This resource unique in its diversity as 77% participants are from communities that historically...

10.1038/s41586-023-06957-x article EN cc-by Nature 2024-02-19

Objectives Electronic health records (EHR) can allow for the generation of large cohorts individuals with given diseases clinical and genomic research. A rate-limiting step is development electronic phenotype selection algorithms to find such cohorts. This study evaluated portability a published algorithm identify rheumatoid arthritis (RA) patients from EHR at three institutions different systems.

10.1136/amiajnl-2011-000583 article EN Journal of the American Medical Informatics Association 2012-02-28

Genetic association studies often examine features independently, potentially missing subpopulations with multiple phenotypes that share a single cause. We describe an approach aggregates on the basis of patterns described by Mendelian diseases. mapped clinical 1204 diseases into captured from electronic health record (EHR) and summarized this evidence as phenotype risk scores (PheRSs). In initial validation, PheRS distinguished cases controls five Applying to 21,701 genotyped individuals...

10.1126/science.aal4043 article EN Science 2018-03-15

There is an urgent need for biomarkers to better stratify patients with idiopathic pulmonary fibrosis by risk lung transplantation allocation who have the same clinical presentation. We aimed investigate whether a specific immune cell type from could identify those at higher of poor outcomes. then sought validate our findings using cytometry and electronic health records.

10.1016/s2213-2600(18)30508-3 article EN cc-by The Lancet Respiratory Medicine 2019-03-29
Jicheng Lv Muh Geot Wong Michelle Hladunewich Vivekanand Jha Lai Seong Hooi and 95 more Helen Monaghan Ming‐Hui Zhao Sean Barbour Meg Jardine Heather N. Reich Daniel C. Cattran Richard J. Glassock Adeera Levin David C. Wheeler Mark Woodward Laurent Billot Sandrine Stepien Kris Rogers Tak Mao Chan Zhihong Liu David W. Johnson Alan Cass John Feehally Jürgen Floege Giuseppe Remuzzi Yangfeng Wu Rajiv Agarwal Hong Zhang Vlado Perkovic Mona Razavian Martin Gallagher Frances Daley Samantha Hand Helen Knight Sarah Gallagher Bhadran Bose Craig Lawlor Junie McCourt Chen Au Peh Eileen Scott Robert J. Carroll Toby Coates Bronwyn Hockley Maryam Hockley Jenny Latte Kathy Nicholls Michael MX Cai Paul Champion de Crespigny Thérèse Cronin Maria Farrell Peter Hughes Rosemary Masterson Gloria Sepe Sven‐Jean Tan Nigel D. Toussaint Rachel Wollstencroft Bruce A. Cooper Marjorie Chang H. Clayton Stephanie Tan Heidi Tsang Joanna Sudak Louis P Laurin Vincent Pichette Karine Chausse Martine Comeau L. Lepine Marie Soliel Stéphanie Beauchemin Émilie René Marceline Quach Karine Daoust Ariane Lessard Maude Bachand-Fournier Marysa Bétournay Marie-Soleil Paradis Mukelda Mikye Castor Susan Huang Louise Moist Kerri Gallo Rachel VanWesenbeeck Teresa Longfield F. H. Norris Amy Moyer Z Lozon Matthew Miller Catherine M. Clase Christian G. Rabbat Madison Salisbury Andrea Mazzetti Vieira Faraz Lalji Cathy Moreau Neesh Pannu Ainslie Hildebrand Nancy Ruholl Nasreen Ahmad Maliha Muneer Louise Girard Michelle Mann Brenda R. Hemmelgarn

The effect of glucocorticoids on major kidney outcomes and adverse events in IgA nephropathy has been uncertain.To evaluate the efficacy effects methylprednisolone patients with at high risk function decline.An international, multicenter, double-blind, randomized clinical trial that enrolled 503 participants nephropathy, proteinuria greater than or equal to 1 g per day, estimated glomerular filtration rate (eGFR) 20 120 mL/min/1.73 m2 after least 3 months optimized background care from 67...

10.1001/jama.2022.5368 article EN JAMA 2022-05-17
Andrea H. Ramirez Lina Sulieman David J. Schlueter Alese E. Halvorson Jun Qian and 95 more Francis Ratsimbazafy Roxana Loperena Kelsey Mayo Melissa Basford Nicole Deflaux Karthik Muthuraman Karthik Natarajan Abel Kho Hua Xu Consuelo H. Wilkins Hoda Anton‐Culver Eric Boerwinkle Mine Cicek Cheryl R. Clark Ellen G. Cohn Lucila Ohno‐Machado Sheri D. Schully Brian K. Ahmedani Maria Argos Robert M. Cronin Christopher J. O’Donnell Mona N. Fouad David B. Goldstein Philip Greenland Scott J. Hebbring Elizabeth W. Karlson Parinda Khatri Bruce R. Korf Jordan W. Smoller Stephen Sodeke John Wilbanks Justin Hentges Stephen Mockrin Chris Lunt Stephanie A. Devaney Kelly A. Gebo Joshua C. Denny Robert J. Carroll David Glazer Paul A. Harris George Hripcsak Anthony Philippakis Dan M. Roden Brian K. Ahmedani Christine D. Cole Johnson Ahsan Habib Donna Antoine‐LaVigne Glendora Singleton Hoda Anton‐Culver Eric J. Topol Katie Baca-Motes Steven R. Steinhubl James B. Wade Mark Begale Praduman Jain Scott Sutherland Beth A. Lewis Bruce R. Korf Melissa Behringer Ali G. Gharavi David B. Goldstein George Hripcsak Louise Bier Eric Boerwinkle Murray H. Brilliant Narayana S. Murali Scott J. Hebbring Dorothy Farrar‐Edwards Elizabeth S. Burnside Marc K. Drezner Amy E. Taylor Veena Channamsetty Wanda Montalvo Yashoda Sharma Carmen Chinea Nancy Piper Jenks Mine Cicek S. N. Thibodeau Beverly Holmes Eric Schlueter Ever Collier Joyce Winkler John Corcoran Nick D’Addezio Martha L. Daviglus Robert A. Winn Consuelo H. Wilkins Dan M. Roden Joshua C. Denny Kim Doheny Debbie A. Nickerson Evan E. Eichler Gail P. Jarvik Gretchen Funk Anthony Philippakis

The

10.1016/j.patter.2022.100570 article EN cc-by-nc-nd Patterns 2022-08-01
Alexander Teumer Yong Li Sahar Ghasemi Bram P. Prins Matthias Wuttke and 95 more Tobias Hermle Ayush Giri Karsten B. Sieber Chengxiang Qiu Holger Kirsten Adrienne Tin Audrey Y. Chu Nisha Bansal Mary F. Feitosa Lihua Wang Jin Fang Chai Massimiliano Cocca Christian Fuchsberger Mathias Gorski Anselm Hoppmann Katrin Horn Man Li Jonathan Marten Damia Noce Teresa Nutile Sanaz Sedaghat Garðar Sveinbjörnsson Bamidele O. Tayo Peter J. van der Most Yizhe Xu Zhi Yu Lea Gerstner Johan Ärnlöv Stephan J. L. Bakker Daniela Baptista Mary L. Biggs Eric Boerwinkle Hermann Brenner Ralph Burkhardt Robert J. Carroll Miao-Li Chee Miao-Ling Chee Mengmeng Chen Ching‐Yu Cheng James P. Cook Josef Coresh Tanguy Corre John Danesh Martin H. de Borst Alessandro De Grandi Renée de Mutsert Aiko P. J. de Vries Frauke Degenhardt Katalin Dittrich Jasmin Divers Kai‐Uwe Eckardt Georg Ehret Karlhans Endlich Janine F. Felix Oscar H. Franco André Franke Barry I. Freedman Sandra Freitag‐Wolf Ron T. Gansevoort Vilmantas Giedraitis Martin Gögele Franziska Grundner-Culemann Daníel F. Guðbjartsson Vilmundur Guðnason Pavel Hamet Tamara B. Harris Andrew A. Hicks Hilma Hólm Valencia Hui Xian Foo Shih‐Jen Hwang M. Arfan Ikram Erik Ingelsson Vincent W. V. Jaddoe Jóhanna Jakobsdóttir Navya Shilpa Josyula Bettina Jung Mika Kähönen Chiea Chuen Khor Wieland Kieß Wolfgang Köenig Antje Körner Péter Kovács Holly Kramer Bernhard K. Krämer Florian Kronenberg Leslie A. Lange Carl D. Langefeld Jeannette Jen-Mai Lee Terho Lehtimäki Wolfgang Lieb S. M. L. Lim Lars Lind Cecilia M. Lindgren Jianjun Liu Markus Loeffler

Increased levels of the urinary albumin-to-creatinine ratio (UACR) are associated with higher risk kidney disease progression and cardiovascular events, but underlying mechanisms incompletely understood. Here, we conduct trans-ethnic (n = 564,257) European-ancestry specific meta-analyses genome-wide association studies UACR, including ancestry- diabetes-specific analyses, identify 68 UACR-associated loci. Genetic correlation analyses score associations in an independent electronic medical...

10.1038/s41467-019-11576-0 article EN cc-by Nature Communications 2019-09-11
Heidi L. Rehm Angela Page Lindsay Smith Jeremy Adams Gil Alterovitz and 95 more Lawrence Babb Maxmillian P. Barkley Michael Baudis Michael J. S. Beauvais Tim Beck J. Beckmann Sergi Beltrán David L. Bernick Alexander Bernier James Bonfield Tiffany Boughtwood Guillaume Bourque Sarion R. Bowers Anthony J. Brookes Michael Brudno Matthew Brush David Bujold Tony Burdett Orion J. Buske Moran N. Cabili Daniel Cameron Robert J. Carroll Esmeralda Casas-Silva Debyani Chakravarty Bimal P. Chaudhari Shu Hui Chen J. Michael Cherry Justina Chung Melissa Cline Hayley Clissold Robert Cook‐Deegan Mélanie Courtot Fiona Cunningham Miro Cupak Robert M. Davies Danielle Denisko Megan Doerr Lena Dolman Edward S. Dove Lewis Jonathan Dursi Stephanie O. M. Dyke James A. Eddy Karen Eilbeck Kyle Ellrott Susan Fairley Khalid A. Fakhro Helen V. Firth Michael S. Fitzsimons Marc Fiume Paul Flicek Ian Fore Mallory Freeberg Robert R. Freimuth Lauren A. Fromont Jonathan Fuerth Clara Gaff Weiniu Gan Elena M. Ghanaim David Glazer Robert C. Green Malachi Griffith Obi L. Griffith Robert L. Grossman Tudor Groza Jaime M. Guidry Auvil Roderic Guigó Dipayan Gupta Melissa Haendel Ada Hamosh David Hansen Reece K. Hart Dean M. Hartley David Haussler Rachele Hendricks‐Sturrup Calvin Wai-Loon Ho Ashley E. Hobb Michael M. Hoffman Oliver Hofmann Petr Holub Jacob Shujui Hsu Jean‐Pierre Hubaux Sarah Hunt Ammar Husami Julius O.B. Jacobsen Saumya S. Jamuar Elizabeth Janes Francis Jeanson Aina Jené Amber L. Johns Yann Joly Steven J.M. Jones Alexander Kanitz Yoshihiro Kato Thomas Keane Kristina Kekesi-Lafrance

The Global Alliance for Genomics and Health (GA4GH) aims to accelerate biomedical advances by enabling the responsible sharing of clinical genomic data through both harmonized aggregation federated approaches. decreasing cost sequencing (along with other genome-wide molecular assays) increasing evidence its utility will soon drive generation sequence from tens millions humans, levels diversity. In this perspective, we present GA4GH strategies addressing major challenges revolution. We...

10.1016/j.xgen.2021.100029 article EN cc-by-nc-nd Cell Genomics 2021-11-01
Hiddo J.L. Heerspink Jai Radhakrishnan Charles E. Alpers Jonathan Barratt Stewart Bieler and 95 more Ulysses Diva Jula K. Inrig Radko Komers Alex Mercer Irene L. Noronha Michelle N. Rheault William E. Rote Brad H. Rovin Howard Trachtman Hernán Trimarchi Muh Geot Wong Vlado Perkovic Eric Alarmartine Jonathan Barratt Dong‐Wan Chae Lucia Del Vecchio Jürgen Floege Shang‐Jyh Hwang Bojan Jelaković Bart Maes Robert Małecki Marius Miglinas Fernando Nolasco M Praga Kannaiyan S Rabindranath Mai Rosenberg Brad H. Rovin Sydney C.W. Tang Vladmir Tesar Muh Geot Wong Bhadran Bose Muralikrishna Gangadharan Stephen P. McDonald Chen Au Peh Sadia Jahan Chii Yeap Philip A. Clayton Georgina Irish Nikhil Thyagarajan Peter Hollett Rathika Krishnasamy Robert J. Carroll Shilpanjali Jesudason Susan Crail Toby Coates Jane Waugh Euan Noble Kumaradevan Mahadevan Victoria Campbell Tania Salehi Wai H. Lim Neil Boudville Aron Chakera Doris Chan Anoushka Krishnan Yusuf Eqbal Alastair Gillies Eswari Vilayur Thida Maung Myint Nicholas A. Gray Jane Waugh Euan Noble Melissa S Cheetham Yusuf Eqbal Peter Hollett Rathika Krishnasamy Kumaradevan Mahadevan Victoria Campbell Carol A. Pollock Bruce A. Cooper Amanda Mather Sarah Roxburgh Yvonne Shen Stefanie Stangenberg Amanda Siriwardana Emma O’Lone Susan Wan Brendon L. Neuen Jeffrey Ha Dana Kim Lauren Heath Arunima Jain Elaine Phua Li Yan M. W. Gallagher Meg Jardine Angus Ritchie Mona Razavian Celine Foote Roger Wyndham Shaundeep Sen Zoltán Endre Jonathan Erlich Mangalee Fernando Kenneth Yong

10.1016/s0140-6736(23)00569-x article EN The Lancet 2023-04-01

The association between physical activity and human disease has not been examined using commercial devices linked to electronic health records. Using the records data from All of Us Research Program, we show that step count volumes as captured by participants' own Fitbit were associated with risk chronic across entire phenome. Of 6,042 participants included in study, 73% female, 84% white 71% had a college degree, median age 56.7 (interquartile range 41.5-67.6) years body mass index 28.1...

10.1038/s41591-022-02012-w article EN cc-by Nature Medicine 2022-10-10
Michael C. Schatz Anthony Philippakis Enis Afgan Eric Banks Vincent J. Carey and 95 more Robert J. Carroll Alessandro Culotti Kyle Ellrott Jeremy Goecks Robert L. Grossman Ira M. Hall Kasper D. Hansen Jonathan Lawson Jeffrey T. Leek Anne O’Donnell‐Luria Stephen Mosher Martin Morgan Anton Nekrutenko Brian D. O’Connor Kevin Osborn Benedict Paten Candace Patterson Frederick J. Tan Casey Overby Taylor Jennifer Vessio Levi Waldron Ting Wang Kristin Wuichet Alexander Baumann Andrew Rula Anton Kovalsy C. Bernard Derek Caetano-Anollés Géraldine A. Van der Auwera Justin Canas K. Ümit Yüksel Kate Herman Megan Taylor Marianie Simeon Michaël Baumann Qi Wang Robert Title Ruchi Munshi Sushma Chaluvadi Valerie B Reeves William Disman Salin Thomas Allie Hajian Elizabeth Kiernan Namrata Gupta Trish Vosburg Ludwig Geistlinger Marcel Ramos Sehyun Oh Dave Rogers Frances McDade Mim Hastie Nitesh Turaga Alexander Ostrovsky Alexandru Mahmoud Dannon Baker Dave Clements Katherine E.L. Cox Keith Suderman Nataliya Kucher Sergey Golitsynskiy Samantha Zarate Sarah J. Wheelan Kai Kammers Ana Stevens Carolyn M. Hutter Christopher Wellington Elena M. Ghanaim Ken Wiley Shurjo K. Sen Valentina Di Francesco Deni s Yuen Brian Walsh Luke Sargent Vahid Jalili John Chilton Lori Shepherd Benjamin J. Stubbs Ash O’Farrell Benton A. Vizzier Charles Overbeck Charles Reid David Steinberg Elizabeth A. Sheets Julian Lucas Lon Blauvelt Louise Cabansay Noah Warren Brian Hannafious Tim Harris Radhika Reddy Eric S. Torstenson M. Katie Banasiewicz Haley Abel Jason Walker

10.1016/j.xgen.2021.100085 article EN Cell Genomics 2022-01-01

One of the justifiable criticisms human genetic studies is underrepresentation participants from diverse populations. Lack inclusion must be addressed at-scale to identify causal disease factors and understand causes health disparities. We present genome-wide associations for 2068 traits 635,969 in Department Veterans Affairs Million Veteran Program, a longitudinal study United States Veterans. Systematic analysis revealed 13,672 genomic risk loci; 1608 were only significant after including...

10.1126/science.adj1182 article EN Science 2024-07-18
Alexander Teumer Adrienne Tin Rossella Sorice Mathias Gorski Nan Cher Yeo and 95 more Audrey Y. Chu Man Li Yong Li Vladan Mijatovic Yi-An Ko Daniel Taliun Alessandro Luciani Ming‐Huei Chen Qiong Yang Meredith C. Foster Matthias Olden Linda T. Hiraki Bamidele O. Tayo Christian Fuchsberger Aida Karina Dieffenbach Alan R. Shuldiner Albert V. Smith Allison Zappa Antonio Lupo Barbara Kollerits Belén Ponte Bénédicte Stengel Bernhard K. Krämer Bernhard Paulweber Braxton D. Mitchell Caroline Hayward Catherine Helmer Christa Meisinger Christian Gieger Christian M. Shaffer Christian Müller Claudia Langenberg Daniel Ackermann David S. Siscovick Eric Boerwinkle Florian Kronenberg Georg Ehret Georg Homuth Gérard Waeber Gerjan Navis Giovanni Gambaro Giovanni Malerba Guðný Eiríksdóttir Li Guo H.-Erich Wichmann Harald Grallert Henri Wallaschofski Henry Völzke Hermann Brenner Holly Kramer Irene Mateo Leach Igor Rudan Hans L. Hillege J. Beckmann Jean‐Charles Lambert Jian’an Luan Jing Zhao John Chalmers Josef Coresh Joshua C. Denny Katja Butterbach Lenore J. Launer Luigi Ferrucci Lyudmyla Kedenko Margot Haun Marie Metzger Mark Woodward Matthew Hoffman Matthias Nauck Mélanie Waldenberger Menno Pruijm Murielle Bochud Myriam Rheinberger Niek Verweij Nicholas J. Wareham Nicole Endlich Nicole Soranzo Ozren Polašek Pim van der Harst Peter P. Pramstaller Péter Vollenweider Philipp S. Wild Ron T. Gansevoort Rainer Rettig Reiner Biffar Robert J. Carroll Ronit Katz Ruth J. F. Loos Shih‐Jen Hwang Stefan Coassin Sven Bergmann Sylvia E. Rosas Sylvia Stracke Tamara B. Harris Tanguy Corre

Elevated concentrations of albumin in the urine, albuminuria, are a hallmark diabetic kidney disease and associated with an increased risk for end-stage renal cardiovascular events. To gain insight into pathophysiological mechanisms underlying we conducted meta-analyses genome-wide association studies independent replication up to 5,825 individuals European ancestry diabetes 46,061 without diabetes, followed by functional studies. Known associations variants CUBN, encoding cubilin, urinary...

10.2337/db15-1313 article EN Diabetes 2015-12-02

Non-alcoholic fatty liver disease (NAFLD) is a common chronic illness with genetically heterogeneous background that can be accompanied by considerable morbidity and attendant health care costs. The pathogenesis progression of NAFLD complex many unanswered questions. We conducted genome-wide association studies (GWASs) using both adult pediatric participants from the Electronic Medical Records Genomics (eMERGE) Network to identify novel genetic contributors this condition.First, natural...

10.1186/s12916-019-1364-z article EN cc-by BMC Medicine 2019-07-17

Integrating genetic data from families with highly penetrant forms of disease together outbred populations represents a promising strategy to uncover the complete frequency spectrum risk alleles for complex traits such as rheumatoid arthritis (RA). Here, we demonstrate that rare, low-frequency and common at one gene locus, phospholipase B1 (PLB1), might contribute RA in 4-generation consanguineous pedigree (Middle Eastern ancestry) also unrelated individuals general population (European...

10.1371/journal.pone.0087645 article EN cc-by PLoS ONE 2014-02-10
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