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1. Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits.

Author: Keaton, Jacob, Kamali, Zoha, Xie, Tian, Vaez, Ahmad, Williams, Ariel, Goleva, Slavina, Ani, Alireza, Evangelou, Evangelos, Hellwege, Jacklyn, Yengo, Loic, Young, William, Traylor, Matthew, Giri, Ayush, Zheng, Zhili, Zeng, Jian, Chasman, Daniel, Morris, Andrew, Caulfield, Mark, Hwang, Shih-Jen, Kooner, Jaspal, Conen, David, Attia, John, Morrison, Alanna, Loos, Ruth, Kristiansson, Kati, Schmidt, Reinhold, Hicks, Andrew, Pramstaller, Peter, Nelson, Christopher, Samani, Nilesh, Risch, Lorenz, Gyllensten, Ulf, Melander, Olle, Riese, Harriette, Wilson, James, Campbell, Harry, Rich, Stephen, Psaty, Bruce, Lu, Yingchang, Guo, Xiuqing, Rice, Kenneth, Vollenweider, Peter, Sundström, Johan, Langenberg, Claudia, Tobin, Martin, Giedraitis, Vilmantas, Luan, Jianan, Tuomilehto, Jaakko, Kutalik, Zoltan, Ripatti, Samuli, Salomaa, Veikko, Girotto, Giorgia, Trompet, Stella, Jukema, J, van der Harst, Pim, Ridker, Paul, Giulianini, Franco, Vitart, Veronique, Goel, Anuj, Watkins, Hugh, Harris, Sarah, Deary, Ian, van der Most, Peter, Oldehinkel, Albertine, Keavney, Bernard, Hayward, Caroline, Campbell, Archie, Boehnke, Michael, Scott, Laura, Boutin, Thibaud, Mamasoula, Chrysovalanto, Järvelin, Marjo-Riitta, Peters, Annette, Gieger, Christian, Lakatta, Edward, Cucca, Francesco, Hui, Jennie, Knekt, Paul, Enroth, Stefan, De Borst, Martin, Polašek, Ozren, Concas, Maria, Catamo, Eulalia, Cocca, Massimiliano, Li-Gao, Ruifang, Hofer, Edith, Schmidt, Helena, Spedicati, Beatrice, Waldenberger, Melanie, Strachan, David, Laan, Maris, Teumer, Alexander, Dörr, Marcus, Gudnason, Vilmundur, Cook, James, Ruggiero, Daniela, Kolcic, Ivana, Boerwinkle, Eric, Traglia, Michela, and Lehtimäki, Terho
Subjects: Female, Humans, Male, Blood Pressure, Genetic Predisposition to Disease, Genetic Risk Score, Genome-Wide Association Study, Hypertension, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Risk Factors
Abstract: Hypertension affects more than one billion people worldwide. Here we identify 113 novel loci, reporting a total of 2,103 independent genetic signals (P
Published: 2024

2. A saturated map of common genetic variants associated with human height

Author: Yengo, Loïc, Vedantam, Sailaja, Marouli, Eirini, Sidorenko, Julia, Bartell, Eric, Sakaue, Saori, Graff, Marielisa, Eliasen, Anders U, Jiang, Yunxuan, Raghavan, Sridharan, Miao, Jenkai, Arias, Joshua D, Graham, Sarah E, Mukamel, Ronen E, Spracklen, Cassandra N, Yin, Xianyong, Chen, Shyh-Huei, Ferreira, Teresa, Highland, Heather H, Ji, Yingjie, Karaderi, Tugce, Lin, Kuang, Lüll, Kreete, Malden, Deborah E, Medina-Gomez, Carolina, Machado, Moara, Moore, Amy, Rüeger, Sina, Sim, Xueling, Vrieze, Scott, Ahluwalia, Tarunveer S, Akiyama, Masato, Allison, Matthew A, Alvarez, Marcus, Andersen, Mette K, Ani, Alireza, Appadurai, Vivek, Arbeeva, Liubov, Bhaskar, Seema, Bielak, Lawrence F, Bollepalli, Sailalitha, Bonnycastle, Lori L, Bork-Jensen, Jette, Bradfield, Jonathan P, Bradford, Yuki, Braund, Peter S, Brody, Jennifer A, Burgdorf, Kristoffer S, Cade, Brian E, Cai, Hui, Cai, Qiuyin, Campbell, Archie, Cañadas-Garre, Marisa, Catamo, Eulalia, Chai, Jin-Fang, Chai, Xiaoran, Chang, Li-Ching, Chang, Yi-Cheng, Chen, Chien-Hsiun, Chesi, Alessandra, Choi, Seung Hoan, Chung, Ren-Hua, Cocca, Massimiliano, Concas, Maria Pina, Couture, Christian, Cuellar-Partida, Gabriel, Danning, Rebecca, Daw, E Warwick, Degenhard, Frauke, Delgado, Graciela E, Delitala, Alessandro, Demirkan, Ayse, Deng, Xuan, Devineni, Poornima, Dietl, Alexander, Dimitriou, Maria, Dimitrov, Latchezar, Dorajoo, Rajkumar, Ekici, Arif B, Engmann, Jorgen E, Fairhurst-Hunter, Zammy, Farmaki, Aliki-Eleni, Faul, Jessica D, Fernandez-Lopez, Juan-Carlos, Forer, Lukas, Francescatto, Margherita, Freitag-Wolf, Sandra, Fuchsberger, Christian, Galesloot, Tessel E, Gao, Yan, Gao, Zishan, Geller, Frank, Giannakopoulou, Olga, Giulianini, Franco, Gjesing, Anette P, Goel, Anuj, Gordon, Scott D, Gorski, Mathias, Grove, Jakob, and Guo, Xiuqing
Subjects: Epidemiology, Biological Sciences, Health Sciences, Genetics, Human Genome, Humans, Body Height, Gene Frequency, Genome, Human, Genome-Wide Association Study, Haplotypes, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Europe, Sample Size, Phenotype, Chromosome Mapping, 23andMe Research Team, VA Million Veteran Program, DiscovEHR, eMERGE, Lifelines Cohort Study, PRACTICAL Consortium, Understanding Society Scientific Group, General Science & Technology
Abstract: Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40-50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes1. Here, using data from a genome-wide association study of 5.4 million individuals of diverse ancestries, we show that 12,111 independent SNPs that are significantly associated with height account for nearly all of the common SNP-based heritability. These SNPs are clustered within 7,209 non-overlapping genomic segments with a mean size of around 90 kb, covering about 21% of the genome. The density of independent associations varies across the genome and the regions of increased density are enriched for biologically relevant genes. In out-of-sample estimation and prediction, the 12,111 SNPs (or all SNPs in the HapMap 3 panel2) account for 40% (45%) of phenotypic variance in populations of European ancestry but only around 10-20% (14-24%) in populations of other ancestries. Effect sizes, associated regions and gene prioritization are similar across ancestries, indicating that reduced prediction accuracy is likely to be explained by linkage disequilibrium and differences in allele frequency within associated regions. Finally, we show that the relevant biological pathways are detectable with smaller sample sizes than are needed to implicate causal genes and variants. Overall, this study provides a comprehensive map of specific genomic regions that contain the vast majority of common height-associated variants. Although this map is saturated for populations of European ancestry, further research is needed to achieve equivalent saturation in other ancestries.
Published: 2022

3. Genetic insights into biological mechanisms governing human ovarian ageing

Author: Ruth, Katherine S, Day, Felix R, Hussain, Jazib, Martínez-Marchal, Ana, Aiken, Catherine E, Azad, Ajuna, Thompson, Deborah J, Knoblochova, Lucie, Abe, Hironori, Tarry-Adkins, Jane L, Gonzalez, Javier Martin, Fontanillas, Pierre, Claringbould, Annique, Bakker, Olivier B, Sulem, Patrick, Walters, Robin G, Terao, Chikashi, Turon, Sandra, Horikoshi, Momoko, Lin, Kuang, Onland-Moret, N Charlotte, Sankar, Aditya, Hertz, Emil Peter Thrane, Timshel, Pascal N, Shukla, Vallari, Borup, Rehannah, Olsen, Kristina W, Aguilera, Paula, Ferrer-Roda, Mònica, Huang, Yan, Stankovic, Stasa, Timmers, Paul RHJ, Ahearn, Thomas U, Alizadeh, Behrooz Z, Naderi, Elnaz, Andrulis, Irene L, Arnold, Alice M, Aronson, Kristan J, Augustinsson, Annelie, Bandinelli, Stefania, Barbieri, Caterina M, Beaumont, Robin N, Becher, Heiko, Beckmann, Matthias W, Benonisdottir, Stefania, Bergmann, Sven, Bochud, Murielle, Boerwinkle, Eric, Bojesen, Stig E, Bolla, Manjeet K, Boomsma, Dorret I, Bowker, Nicholas, Brody, Jennifer A, Broer, Linda, Buring, Julie E, Campbell, Archie, Campbell, Harry, Castelao, Jose E, Catamo, Eulalia, Chanock, Stephen J, Chenevix-Trench, Georgia, Ciullo, Marina, Corre, Tanguy, Couch, Fergus J, Cox, Angela, Crisponi, Laura, Cross, Simon S, Cucca, Francesco, Czene, Kamila, Smith, George Davey, de Geus, Eco JCN, de Mutsert, Renée, De Vivo, Immaculata, Demerath, Ellen W, Dennis, Joe, Dunning, Alison M, Dwek, Miriam, Eriksson, Mikael, Esko, Tõnu, Fasching, Peter A, Faul, Jessica D, Ferrucci, Luigi, Franceschini, Nora, Frayling, Timothy M, Gago-Dominguez, Manuela, Mezzavilla, Massimo, García-Closas, Montserrat, Gieger, Christian, Giles, Graham G, Grallert, Harald, Gudbjartsson, Daniel F, Gudnason, Vilmundur, Guénel, Pascal, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hayward, Caroline, He, Chunyan, He, Wei, and Heiss, Gerardo
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Genetics, Estrogen, Prevention, Women's Health, Contraception/Reproduction, Aging, Infertility, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Good Health and Well Being, Adult, Alleles, Animals, Bone and Bones, Checkpoint Kinase 1, Checkpoint Kinase 2, Diabetes Mellitus, Type 2, Diet, Europe, Asia, Eastern, Female, Fertility, Fragile X Mental Retardation Protein, Genetic Predisposition to Disease, Genome-Wide Association Study, Healthy Aging, Humans, Longevity, Menopause, Menopause, Premature, Mice, Mice, Inbred C57BL, Middle Aged, Ovary, Primary Ovarian Insufficiency, Uterus, Biobank-based Integrative Omics Study (BIOS) Consortium, eQTLGen Consortium, Biobank Japan Project, China Kadoorie Biobank Collaborative Group, kConFab Investigators, LifeLines Cohort Study, InterAct consortium, 23andMe Research Team, General Science & Technology
Abstract: Reproductive longevity is essential for fertility and influences healthy ageing in women1,2, but insights into its underlying biological mechanisms and treatments to preserve it are limited. Here we identify 290 genetic determinants of ovarian ageing, assessed using normal variation in age at natural menopause (ANM) in about 200,000 women of European ancestry. These common alleles were associated with clinical extremes of ANM; women in the top 1% of genetic susceptibility have an equivalent risk of premature ovarian insufficiency to those carrying monogenic FMR1 premutations3. The identified loci implicate a broad range of DNA damage response (DDR) processes and include loss-of-function variants in key DDR-associated genes. Integration with experimental models demonstrates that these DDR processes act across the life-course to shape the ovarian reserve and its rate of depletion. Furthermore, we demonstrate that experimental manipulation of DDR pathways highlighted by human genetics increases fertility and extends reproductive life in mice. Causal inference analyses using the identified genetic variants indicate that extending reproductive life in women improves bone health and reduces risk of type 2 diabetes, but increases the risk of hormone-sensitive cancers. These findings provide insight into the mechanisms that govern ovarian ageing, when they act, and how they might be targeted by therapeutic approaches to extend fertility and prevent disease.
Published: 2021

4. Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity.

Author: Turcot, Valérie, Lu, Yingchang, Highland, Heather M, Schurmann, Claudia, Justice, Anne E, Fine, Rebecca S, Bradfield, Jonathan P, Esko, Tõnu, Giri, Ayush, Graff, Mariaelisa, Guo, Xiuqing, Hendricks, Audrey E, Karaderi, Tugce, Lempradl, Adelheid, Locke, Adam E, Mahajan, Anubha, Marouli, Eirini, Sivapalaratnam, Suthesh, Young, Kristin L, Alfred, Tamuno, Feitosa, Mary F, Masca, Nicholas GD, Manning, Alisa K, Medina-Gomez, Carolina, Mudgal, Poorva, Ng, Maggie CY, Reiner, Alex P, Vedantam, Sailaja, Willems, Sara M, Winkler, Thomas W, Abecasis, Gonçalo, Aben, Katja K, Alam, Dewan S, Alharthi, Sameer E, Allison, Matthew, Amouyel, Philippe, Asselbergs, Folkert W, Auer, Paul L, Balkau, Beverley, Bang, Lia E, Barroso, Inês, Bastarache, Lisa, Benn, Marianne, Bergmann, Sven, Bielak, Lawrence F, Blüher, Matthias, Boehnke, Michael, Boeing, Heiner, Boerwinkle, Eric, Böger, Carsten A, Bork-Jensen, Jette, Bots, Michiel L, Bottinger, Erwin P, Bowden, Donald W, Brandslund, Ivan, Breen, Gerome, Brilliant, Murray H, Broer, Linda, Brumat, Marco, Burt, Amber A, Butterworth, Adam S, Campbell, Peter T, Cappellani, Stefania, Carey, David J, Catamo, Eulalia, Caulfield, Mark J, Chambers, John C, Chasman, Daniel I, Chen, Yii-Der I, Chowdhury, Rajiv, Christensen, Cramer, Chu, Audrey Y, Cocca, Massimiliano, Collins, Francis S, Cook, James P, Corley, Janie, Corominas Galbany, Jordi, Cox, Amanda J, Crosslin, David S, Cuellar-Partida, Gabriel, D'Eustacchio, Angela, Danesh, John, Davies, Gail, Bakker, Paul IW, Groot, Mark CH, Mutsert, Renée, Deary, Ian J, Dedoussis, George, Demerath, Ellen W, Heijer, Martin, Hollander, Anneke I, Ruijter, Hester M, Dennis, Joe G, Denny, Josh C, Di Angelantonio, Emanuele, Drenos, Fotios, Du, Mengmeng, Dubé, Marie-Pierre, Dunning, Alison M, and Easton, Douglas F
Subjects: CHD Exome+ Consortium, EPIC-CVD Consortium, ExomeBP Consortium, Global Lipids Genetic Consortium, GoT2D Genes Consortium, EPIC InterAct Consortium, INTERVAL Study, ReproGen Consortium, T2D-Genes Consortium, MAGIC Investigators, Understanding Society Scientific Group, Nutrition, Obesity, Developmental Biology, Medical and Health Sciences, Biological Sciences
Abstract: In the version of this article originally published, one of the two authors with the name Wei Zhao was omitted from the author list and the affiliations for both authors were assigned to the single Wei Zhao in the author list. In addition, the ORCID for Wei Zhao (Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA) was incorrectly assigned to author Wei Zhou. The errors have been corrected in the HTML and PDF versions of the article.
Published: 2018

5. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

Author: Turcot, Valérie, Lu, Yingchang, Highland, Heather M, Schurmann, Claudia, Justice, Anne E, Fine, Rebecca S, Bradfield, Jonathan P, Esko, Tõnu, Giri, Ayush, Graff, Mariaelisa, Guo, Xiuqing, Hendricks, Audrey E, Karaderi, Tugce, Lempradl, Adelheid, Locke, Adam E, Mahajan, Anubha, Marouli, Eirini, Sivapalaratnam, Suthesh, Young, Kristin L, Alfred, Tamuno, Feitosa, Mary F, Masca, Nicholas GD, Manning, Alisa K, Medina-Gomez, Carolina, Mudgal, Poorva, Ng, Maggie CY, Reiner, Alex P, Vedantam, Sailaja, Willems, Sara M, Winkler, Thomas W, Abecasis, Gonçalo, Aben, Katja K, Alam, Dewan S, Alharthi, Sameer E, Allison, Matthew, Amouyel, Philippe, Asselbergs, Folkert W, Auer, Paul L, Balkau, Beverley, Bang, Lia E, Barroso, Inês, Bastarache, Lisa, Benn, Marianne, Bergmann, Sven, Bielak, Lawrence F, Blüher, Matthias, Boehnke, Michael, Boeing, Heiner, Boerwinkle, Eric, Böger, Carsten A, Bork-Jensen, Jette, Bots, Michiel L, Bottinger, Erwin P, Bowden, Donald W, Brandslund, Ivan, Breen, Gerome, Brilliant, Murray H, Broer, Linda, Brumat, Marco, Burt, Amber A, Butterworth, Adam S, Campbell, Peter T, Cappellani, Stefania, Carey, David J, Catamo, Eulalia, Caulfield, Mark J, Chambers, John C, Chasman, Daniel I, Chen, Yii-Der I, Chowdhury, Rajiv, Christensen, Cramer, Chu, Audrey Y, Cocca, Massimiliano, Collins, Francis S, Cook, James P, Corley, Janie, Corominas Galbany, Jordi, Cox, Amanda J, Crosslin, David S, Cuellar-Partida, Gabriel, D’Eustacchio, Angela, Danesh, John, Davies, Gail, Bakker, Paul IW, Groot, Mark CH, Mutsert, Renée, Deary, Ian J, Dedoussis, George, Demerath, Ellen W, Heijer, Martin, Hollander, Anneke I, Ruijter, Hester M, Dennis, Joe G, Denny, Josh C, Di Angelantonio, Emanuele, Drenos, Fotios, Du, Mengmeng, Dubé, Marie-Pierre, Dunning, Alison M, and Easton, Douglas F
Subjects: Genetics, Biotechnology, Nutrition, Obesity, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Cancer, Stroke, Metabolic and endocrine, Cardiovascular, Oral and gastrointestinal, Adult, Animals, Body Mass Index, Drosophila, Energy Intake, Energy Metabolism, Female, Gene Frequency, Genetic Variation, Humans, Male, Proteins, Syndrome, CHD Exome+ Consortium, EPIC-CVD Consortium, ExomeBP Consortium, Global Lipids Genetic Consortium, GoT2D Genes Consortium, EPIC InterAct Consortium, INTERVAL Study, ReproGen Consortium, T2D-Genes Consortium, MAGIC Investigators, Understanding Society Scientific Group, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract: Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2 and ZNF169) newly implicated in human obesity, 2 variants were in genes (MC4R and KSR2) previously observed to be mutated in extreme obesity and 2 variants were in GIPR. The effect sizes of rare variants are ~10 times larger than those of common variants, with the largest effect observed in carriers of an MC4R mutation introducing a stop codon (p.Tyr35Ter, MAF = 0.01%), who weighed ~7 kg more than non-carriers. Pathway analyses based on the variants associated with BMI confirm enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically supported therapeutic targets in obesity.
Published: 2018

6. Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways

Author: Young, William J., Lahrouchi, Najim, Isaacs, Aaron, Duong, ThuyVy, Foco, Luisa, Ahmed, Farah, Brody, Jennifer A., Salman, Reem, Noordam, Raymond, Benjamins, Jan-Walter, Haessler, Jeffrey, Lyytikäinen, Leo-Pekka, Repetto, Linda, Concas, Maria Pina, van den Berg, Marten E., Weiss, Stefan, Baldassari, Antoine R., Bartz, Traci M., Cook, James P., Evans, Daniel S., Freudling, Rebecca, Hines, Oliver, Isaksen, Jonas L., Lin, Honghuang, Mei, Hao, Moscati, Arden, Müller-Nurasyid, Martina, Nursyifa, Casia, Qian, Yong, Richmond, Anne, Roselli, Carolina, Ryan, Kathleen A., Tarazona-Santos, Eduardo, Thériault, Sébastien, van Duijvenboden, Stefan, Warren, Helen R., Yao, Jie, Raza, Dania, Aeschbacher, Stefanie, Ahlberg, Gustav, Alonso, Alvaro, Andreasen, Laura, Bis, Joshua C., Boerwinkle, Eric, Campbell, Archie, Catamo, Eulalia, Cocca, Massimiliano, Cutler, Michael J., Darbar, Dawood, De Grandi, Alessandro, De Luca, Antonio, Ding, Jun, Ellervik, Christina, Ellinor, Patrick T., Felix, Stephan B., Froguel, Philippe, Fuchsberger, Christian, Gögele, Martin, Graff, Claus, Graff, Mariaelisa, Guo, Xiuqing, Hansen, Torben, Heckbert, Susan R., Huang, Paul L., Huikuri, Heikki V., Hutri-Kähönen, Nina, Ikram, M. Arfan, Jackson, Rebecca D., Junttila, Juhani, Kavousi, Maryam, Kors, Jan A., Leal, Thiago P., Lemaitre, Rozenn N., Lin, Henry J., Lind, Lars, Linneberg, Allan, Liu, Simin, MacFarlane, Peter W., Mangino, Massimo, Meitinger, Thomas, Mezzavilla, Massimo, Mishra, Pashupati P., Mitchell, Rebecca N., Mononen, Nina, Montasser, May E., Morrison, Alanna C., Nauck, Matthias, Nauffal, Victor, Navarro, Pau, Nikus, Kjell, Pare, Guillaume, Patton, Kristen K., Pelliccione, Giulia, Pittman, Alan, Porteous, David J., Pramstaller, Peter P., Preuss, Michael H., Raitakari, Olli T., Reiner, Alexander P., Ribeiro, Antonio Luiz P., Rice, Kenneth M., Risch, Lorenz, Schlessinger, David, Schotten, Ulrich, Schurmann, Claudia, Shen, Xia, Shoemaker, M. Benjamin, Sinagra, Gianfranco, Sinner, Moritz F., Soliman, Elsayed Z., Stoll, Monika, Strauch, Konstantin, Tarasov, Kirill, Taylor, Kent D., Tinker, Andrew, Trompet, Stella, Uitterlinden, André, Völker, Uwe, Völzke, Henry, Waldenberger, Melanie, Weng, Lu-Chen, Whitsel, Eric A., Wilson, James G., Avery, Christy L., Conen, David, Correa, Adolfo, Cucca, Francesco, Dörr, Marcus, Gharib, Sina A., Girotto, Giorgia, Grarup, Niels, Hayward, Caroline, Jamshidi, Yalda, Järvelin, Marjo-Riitta, Jukema, J. Wouter, Kääb, Stefan, Kähönen, Mika, Kanters, Jørgen K., Kooperberg, Charles, Lehtimäki, Terho, Lima-Costa, Maria Fernanda, Liu, Yongmei, Loos, Ruth J. F., Lubitz, Steven A., Mook-Kanamori, Dennis O., Morris, Andrew P., O’Connell, Jeffrey R., Olesen, Morten Salling, Orini, Michele, Padmanabhan, Sandosh, Pattaro, Cristian, Peters, Annette, Psaty, Bruce M., Rotter, Jerome I., Stricker, Bruno, van der Harst, Pim, van Duijn, Cornelia M., Verweij, Niek, Wilson, James F., Arking, Dan E., Ramirez, Julia, Lambiase, Pier D., Sotoodehnia, Nona, Mifsud, Borbala, Newton-Cheh, Christopher, and Munroe, Patricia B.
Published: 2022
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7. Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals

Author: Winkler, Thomas W., Rasheed, Humaira, Teumer, Alexander, Gorski, Mathias, Rowan, Bryce X., Stanzick, Kira J., Thomas, Laurent F., Tin, Adrienne, Hoppmann, Anselm, Chu, Audrey Y., Tayo, Bamidele, Thio, Chris H. L., Cusi, Daniele, Chai, Jin-Fang, Sieber, Karsten B., Horn, Katrin, Li, Man, Scholz, Markus, Cocca, Massimiliano, Wuttke, Matthias, van der Most, Peter J., Yang, Qiong, Ghasemi, Sahar, Nutile, Teresa, Li, Yong, Pontali, Giulia, Günther, Felix, Dehghan, Abbas, Correa, Adolfo, Parsa, Afshin, Feresin, Agnese, de Vries, Aiko P. J., Zonderman, Alan B., Smith, Albert V., Oldehinkel, Albertine J., De Grandi, Alessandro, Rosenkranz, Alexander R., Franke, Andre, Teren, Andrej, Metspalu, Andres, Hicks, Andrew A., Morris, Andrew P., Tönjes, Anke, Morgan, Anna, Podgornaia, Anna I., Peters, Annette, Körner, Antje, Mahajan, Anubha, Campbell, Archie, Freedman, Barry I., Spedicati, Beatrice, Ponte, Belen, Schöttker, Ben, Brumpton, Ben, Banas, Bernhard, Krämer, Bernhard K., Jung, Bettina, Åsvold, Bjørn Olav, Smith, Blair H., Ning, Boting, Penninx, Brenda W. J. H., Vanderwerff, Brett R., Psaty, Bruce M., Kammerer, Candace M., Langefeld, Carl D., Hayward, Caroline, Spracklen, Cassandra N., Robinson-Cohen, Cassianne, Hartman, Catharina A., Lindgren, Cecilia M., Wang, Chaolong, Sabanayagam, Charumathi, Heng, Chew-Kiat, Lanzani, Chiara, Khor, Chiea-Chuen, Cheng, Ching-Yu, Fuchsberger, Christian, Gieger, Christian, Shaffer, Christian M., Schulz, Christina-Alexandra, Willer, Cristen J., Chasman, Daniel I., Gudbjartsson, Daniel F., Ruggiero, Daniela, Toniolo, Daniela, Czamara, Darina, Porteous, David J., Waterworth, Dawn M., Mascalzoni, Deborah, Mook-Kanamori, Dennis O., Reilly, Dermot F., Daw, E. Warwick, Hofer, Edith, Boerwinkle, Eric, Salvi, Erika, Bottinger, Erwin P., Tai, E-Shyong, Catamo, Eulalia, Rizzi, Federica, Guo, Feng, Rivadeneira, Fernando, Guilianini, Franco, Sveinbjornsson, Gardar, Ehret, Georg, Waeber, Gerard, Biino, Ginevra, Girotto, Giorgia, Pistis, Giorgio, Nadkarni, Girish N., Delgado, Graciela E., Montgomery, Grant W., Snieder, Harold, Campbell, Harry, White, Harvey D., Gao, He, Stringham, Heather M., Schmidt, Helena, Li, Hengtong, Brenner, Hermann, Holm, Hilma, Kirsten, Holgen, Kramer, Holly, Rudan, Igor, Nolte, Ilja M., Tzoulaki, Ioanna, Olafsson, Isleifur, Martins, Jade, Cook, James P., Wilson, James F., Halbritter, Jan, Felix, Janine F., Divers, Jasmin, Kooner, Jaspal S., Lee, Jeannette Jen-Mai, O’Connell, Jeffrey, Rotter, Jerome I., Liu, Jianjun, Xu, Jie, Thiery, Joachim, Ärnlöv, Johan, Kuusisto, Johanna, Jakobsdottir, Johanna, Tremblay, Johanne, Chambers, John C., Whitfield, John B., Gaziano, John M., Marten, Jonathan, Coresh, Josef, Jonas, Jost B., Mychaleckyj, Josyf C., Christensen, Kaare, Eckardt, Kai-Uwe, Mohlke, Karen L., Endlich, Karlhans, Dittrich, Katalin, Ryan, Kathleen A., Rice, Kenneth M., Taylor, Kent D., Ho, Kevin, Nikus, Kjell, Matsuda, Koichi, Strauch, Konstantin, Miliku, Kozeta, Hveem, Kristian, Lind, Lars, Wallentin, Lars, Yerges-Armstrong, Laura M., Raffield, Laura M., Phillips, Lawrence S., Launer, Lenore J., Lyytikäinen, Leo-Pekka, Lange, Leslie A., Citterio, Lorena, Klaric, Lucija, Ikram, M. Arfan, Ising, Marcus, Kleber, Marcus E., Francescatto, Margherita, Concas, Maria Pina, Ciullo, Marina, Piratsu, Mario, Orho-Melander, Marju, Laakso, Markku, Loeffler, Markus, Perola, Markus, de Borst, Martin H., Gögele, Martin, Bianca, Martina La, Lukas, Mary Ann, Feitosa, Mary F., Biggs, Mary L., Wojczynski, Mary K., Kavousi, Maryam, Kanai, Masahiro, Akiyama, Masato, Yasuda, Masayuki, Nauck, Matthias, Waldenberger, Melanie, Chee, Miao-Li, Chee, Miao-Ling, Boehnke, Michael, Preuss, Michael H., Stumvoll, Michael, Province, Michael A., Evans, Michele K., O’Donoghue, Michelle L., Kubo, Michiaki, Kähönen, Mika, Kastarinen, Mika, Nalls, Mike A., Kuokkanen, Mikko, Ghanbari, Mohsen, Bochud, Murielle, Josyula, Navya Shilpa, Martin, Nicholas G., Tan, Nicholas Y. Q., Palmer, Nicholette D., Pirastu, Nicola, Schupf, Nicole, Verweij, Niek, Hutri-Kähönen, Nina, Mononen, Nina, Bansal, Nisha, Devuyst, Olivier, Melander, Olle, Raitakari, Olli T., Polasek, Ozren, Manunta, Paolo, Gasparini, Paolo, Mishra, Pashupati P., Sulem, Patrick, Magnusson, Patrik K. E., Elliott, Paul, Ridker, Paul M., Hamet, Pavel, Svensson, Per O., Joshi, Peter K., Kovacs, Peter, Pramstaller, Peter P., Rossing, Peter, Vollenweider, Peter, van der Harst, Pim, Dorajoo, Rajkumar, Sim, Ralene Z. H., Burkhardt, Ralph, Tao, Ran, Noordam, Raymond, Mägi, Reedik, Schmidt, Reinhold, de Mutsert, Renée, Rueedi, Rico, van Dam, Rob M., Carroll, Robert J., Gansevoort, Ron T., Loos, Ruth J. F., Felicita, Sala Cinzia, Sedaghat, Sanaz, Padmanabhan, Sandosh, Freitag-Wolf, Sandra, Pendergrass, Sarah A., Graham, Sarah E., Gordon, Scott D., Hwang, Shih-Jen, Kerr, Shona M., Vaccargiu, Simona, Patil, Snehal B., Hallan, Stein, Bakker, Stephan J. L., Lim, Su-Chi, Lucae, Susanne, Vogelezang, Suzanne, Bergmann, Sven, Corre, Tanguy, Ahluwalia, Tarunveer S., Lehtimäki, Terho, Boutin, Thibaud S., Meitinger, Thomas, Wong, Tien-Yin, Bergler, Tobias, Rabelink, Ton J., Esko, Tõnu, Haller, Toomas, Thorsteinsdottir, Unnur, Völker, Uwe, Foo, Valencia Hui Xian, Salomaa, Veikko, Vitart, Veronique, Giedraitis, Vilmantas, Gudnason, Vilmundur, Jaddoe, Vincent W. V., Huang, Wei, Zhang, Weihua, Wei, Wen Bin, Kiess, Wieland, März, Winfried, Koenig, Wolfgang, Lieb, Wolfgang, Gao, Xin, Sim, Xueling, Wang, Ya Xing, Friedlander, Yechiel, Tham, Yih-Chung, Kamatani, Yoichiro, Okada, Yukinori, Milaneschi, Yuri, Yu, Zhi, Stark, Klaus J., Stefansson, Kari, Böger, Carsten A., Hung, Adriana M., Kronenberg, Florian, Köttgen, Anna, Pattaro, Cristian, and Heid, Iris M.
Published: 2022
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8. Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk.

Author: Day, Felix R, Thompson, Deborah J, Helgason, Hannes, Chasman, Daniel I, Finucane, Hilary, Sulem, Patrick, Ruth, Katherine S, Whalen, Sean, Sarkar, Abhishek K, Albrecht, Eva, Altmaier, Elisabeth, Amini, Marzyeh, Barbieri, Caterina M, Boutin, Thibaud, Campbell, Archie, Demerath, Ellen, Giri, Ayush, He, Chunyan, Hottenga, Jouke J, Karlsson, Robert, Kolcic, Ivana, Loh, Po-Ru, Lunetta, Kathryn L, Mangino, Massimo, Marco, Brumat, McMahon, George, Medland, Sarah E, Nolte, Ilja M, Noordam, Raymond, Nutile, Teresa, Paternoster, Lavinia, Perjakova, Natalia, Porcu, Eleonora, Rose, Lynda M, Schraut, Katharina E, Segrè, Ayellet V, Smith, Albert V, Stolk, Lisette, Teumer, Alexander, Andrulis, Irene L, Bandinelli, Stefania, Beckmann, Matthias W, Benitez, Javier, Bergmann, Sven, Bochud, Murielle, Boerwinkle, Eric, Bojesen, Stig E, Bolla, Manjeet K, Brand, Judith S, Brauch, Hiltrud, Brenner, Hermann, Broer, Linda, Brüning, Thomas, Buring, Julie E, Campbell, Harry, Catamo, Eulalia, Chanock, Stephen, Chenevix-Trench, Georgia, Corre, Tanguy, Couch, Fergus J, Cousminer, Diana L, Cox, Angela, Crisponi, Laura, Czene, Kamila, Davey Smith, George, de Geus, Eco JCN, de Mutsert, Renée, De Vivo, Immaculata, Dennis, Joe, Devilee, Peter, Dos-Santos-Silva, Isabel, Dunning, Alison M, Eriksson, Johan G, Fasching, Peter A, Fernández-Rhodes, Lindsay, Ferrucci, Luigi, Flesch-Janys, Dieter, Franke, Lude, Gabrielson, Marike, Gandin, Ilaria, Giles, Graham G, Grallert, Harald, Gudbjartsson, Daniel F, Guénel, Pascal, Hall, Per, Hallberg, Emily, Hamann, Ute, Harris, Tamara B, Hartman, Catharina A, Heiss, Gerardo, Hooning, Maartje J, Hopper, John L, Hu, Frank, Hunter, David J, Ikram, M Arfan, Im, Hae Kyung, Järvelin, Marjo-Riitta, Joshi, Peter K, Karasik, David, and Kellis, Manolis
Subjects: LifeLines Cohort Study, InterAct Consortium, kConFab/AOCS Investigators, Endometrial Cancer Association Consortium, Ovarian Cancer Association Consortium, PRACTICAL consortium, Humans, Neoplasms, Genetic Predisposition to Disease, Ubiquitin-Protein Ligases, Intercellular Signaling Peptides and Proteins, Calcium-Binding Proteins, Ribonucleoproteins, Membrane Proteins, Body Mass Index, Risk Factors, Age Factors, Genomic Imprinting, Puberty, Menarche, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Databases, Genetic, Adolescent, Female, Male, Genome-Wide Association Study, Aging, Breast Cancer, Biotechnology, Cancer, Human Genome, Genetics, Prostate Cancer, Urologic Diseases, 2.1 Biological and endogenous factors, Aetiology, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract: The timing of puberty is a highly polygenic childhood trait that is epidemiologically associated with various adult diseases. Using 1000 Genomes Project-imputed genotype data in up to ∼370,000 women, we identify 389 independent signals (P < 5 × 10-8) for age at menarche, a milestone in female pubertal development. In Icelandic data, these signals explain ∼7.4% of the population variance in age at menarche, corresponding to ∼25% of the estimated heritability. We implicate ∼250 genes via coding variation or associated expression, demonstrating significant enrichment in neural tissues. Rare variants near the imprinted genes MKRN3 and DLK1 were identified, exhibiting large effects when paternally inherited. Mendelian randomization analyses suggest causal inverse associations, independent of body mass index (BMI), between puberty timing and risks for breast and endometrial cancers in women and prostate cancer in men. In aggregate, our findings highlight the complexity of the genetic regulation of puberty timing and support causal links with cancer susceptibility.
Published: 2017

9. Next-generation sequencing reveals additional HLA class I and class II alleles associated with type 1 diabetes and age at onset.

Author: Robino, Antonietta, Bevilacqua, Elena, Aldegheri, Luana, Conti, Andrea, Bazzo, Valentina, Tornese, Gianluca, and Catamo, Eulalia
Subjects: TYPE 1 diabetes, NUCLEOTIDE sequencing, HLA histocompatibility antigens, YOUNG adults, AGE of onset
Abstract: Introduction: Type 1 diabetes is an autoimmune disease with an significant genetic component, played mainly by the HLA class II genes. Although evidence on the role of HLA class I genes in developing type 1 diabetes and its onset have emerged, current HLA screening is limited to determining DR3 and DR4 haplotypes. This study aimed to investigate the role of HLA genes on type 1 diabetes risk and age of onset by extensive typing. Methods: This study included 115 children and young adults with type 1 diabetes for whom typing of HLA-A, -B, -C, -DRB1, -DRB3/4/5, -DQA1, -DQB1, -DPA1 and -DPB1 genes was conducted using Next Generation Sequencing. Results: We observed that 13% of type 1 diabetes subjects had non-classical HLA haplotypes that predispose to diabetes. We also found that compared to type 1 diabetes subjects with classical HLA haplotypes, non-classical HLA subjects had a significantly higher frequency of HLA-B*39:06:02 (p-value=0.01) and HLAC* 07:02:01 (p-value=0.03) alleles, known to be involved in activating the immune response. Non-classical HLA subjects also presented peculiar clinical features compared to classical HLA subjects, such as multiple diabetic antibodies and the absence of other autoimmune diseases (i.e., coeliac disease and thyroiditis). We also observed that subjects with early onset had a higher frequency of DQ2/DQ8 genotype than late-onset individuals. Moreover, subjects with late-onset had a higher frequency of alleles HLA-B*27 (p-value=0.003), HLAC* 01:02:01 (p-value=0.027) and C*02:02:02 (p-value=0.01), known to be associated with increased protection against viral infections. Discussion: This study reveals a broader involvement of the HLA locus in the development and onset of type 1 diabetes, providing insights into new possible disease prevention and management strategies. [ABSTRACT FROM AUTHOR]
Published: 2024
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10. Effects of Calcium, Magnesium, and Potassium Concentrations on Ventricular Repolarization in Unselected Individuals

Author: Noordam, Raymond, Young, William J., Salman, Reem, Kanters, Jørgen K., van den Berg, Marten E., van Heemst, Diana, Lin, Henry J., Barreto, Sandhi Maria, Biggs, Mary L., Biino, Ginevra, Catamo, Eulalia, Concas, Maria Pina, Ding, Jun, Evans, Daniel S., Foco, Luisa, Grarup, Niels, Lyytikäinen, Leo-Pekka, Mangino, Massimo, Mei, Hao, van der Most, Peter J., Müller-Nurasyid, Martina, Nelson, Christopher P., Qian, Yong, Repetto, Linda, Said, M. Abdullah, Shah, Nabi, Schramm, Katharina, Vidigal, Pedro G., Weiss, Stefan, Yao, Jie, Zilhao, Nuno R., Brody, Jennifer A., Braund, Peter S., Brumat, Marco, Campana, Eric, Christofidou, Paraskevi, Caulfield, Mark J., De Grandi, Alessandro, Dominiczak, Anna F., Doney, Alex S.F., Eiriksdottir, Gudny, Ellervik, Christina, Giatti, Luana, Gögele, Martin, Graff, Claus, Guo, Xiuqing, van der Harst, Pim, Joshi, Peter K., Kähönen, Mika, Kestenbaum, Bryan, Lima-Costa, Maria F., Linneberg, Allan, Maan, Arie C., Meitinger, Thomas, Padmanabhan, Sandosh, Pattaro, Cristian, Peters, Annette, Petersmann, Astrid, Sever, Peter, Sinner, Mortiz F., Shen, Xia, Stanton, Alice, Strauch, Konstantin, Soliman, Elsayed Z., Tarasov, Kirill V., Taylor, Kent D., Thio, Chris H.L., Uitterlinden, André G., Vaccargiu, Simona, Waldenberger, Melanie, Robino, Antonietta, Correa, Adolfo, Cucca, Francesco, Cummings, Steven R., Dörr, Marcus, Girotto, Giorgia, Gudnason, Vilmundur, Hansen, Torben, Heckbert, Susan R., Juhl, Christian R., Kääb, Stefan, Lehtimäki, Terho, Liu, Yongmei, Lotufo, Paulo A., Palmer, Colin N.A., Pirastu, Mario, Pramstaller, Peter P., Ribeiro, Antonio Luiz P., Rotter, Jerome I., Samani, Nilesh J., Snieder, Harold, Spector, Tim D., Stricker, Bruno H., Verweij, Niek, Wilson, James F., Wilson, James G., Jukema, J. Wouter, Tinker, Andrew, Newton-Cheh, Christopher H., Sotoodehnia, Nona, Mook-Kanamori, Dennis O., Munroe, Patricia B., and Warren, Helen R.
Published: 2019
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11. Food Behaviour and Metabolic Characteristics of Children and Adolescents with Type 1 Diabetes: Relationship to Glycaemic Control.

Author: Catamo, Eulalia, Tornese, Gianluca, Dovc, Klemen, Tinti, Davide, Di Tonno, Raffaella, Cauvin, Vittoria, Barbi, Egidio, Franceschi, Roberto, Bonfanti, Riccardo, Rabbone, Ivana, Battelino, Tadej, and Robino, Antonietta
Subjects: FOOD habits, TYPE 1 diabetes, GLYCEMIC control, FOOD preferences, BODY mass index
Abstract: Diet is an essential element of treating and managing type 1 diabetes (T1D). However, limited research has examined food behaviour in children and adolescents with T1D and their relationship to glycaemic control. This study evaluated food behaviour, metabolic characteristics and their impact on the glycaemic control of children and adolescents with T1D. Two hundred and fifty-eight participants with T1D (6–15 years, duration of diabetes >1 year) were recruited. Demographic, anthropometric and clinical data were collected. Questionnaires on food neophobia and food preferences were administered. The Child Food Questionnaire (CFQ) also assessed parental feeding practices. An analysis of food behaviour showed that food neophobia was inversely associated with the liking of vegetables, fruits, fish, sweets and carbohydrates. Moreover, by analysing parental feeding practices, an inverse association of "Pressure to eat", "Monitoring" and "Restriction" with liking for vegetables and carbohydrates emerged. Considering glycaemic control, increased food neophobia and the parent practices "Restriction", "Pressure to eat" and "Concern about weight" were found in participants with glycated haemoglobin (HbA1c) values >8.5%. Finally, higher body mass index (BMI) and total cholesterol values were observed in subjects with HbA1c values >8.5%. These findings contribute to a better understanding of eating behaviour, metabolic status and their complex relationship with glycaemic control. [ABSTRACT FROM AUTHOR]
Published: 2024
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12. Whole-genome sequencing reveals new insights into age-related hearing loss: cumulative effects, pleiotropy and the role of selection

Author: Vuckovic, Dragana, Mezzavilla, Massimo, Cocca, Massimiliano, Morgan, Anna, Brumat, Marco, Catamo, Eulalia, Concas, Maria Pina, Biino, Ginevra, Franzè, Annamaria, Ambrosetti, Umberto, Pirastu, Mario, Gasparini, Paolo, and Girotto, Giorgia
Published: 2018
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13. Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

Author: Turcot, Valérie, Lu, Yingchang, Highland, Heather M., Schurmann, Claudia, Justice, Anne E., Fine, Rebecca S., Bradfield, Jonathan P., Esko, Tõnu, Giri, Ayush, Graff, Mariaelisa, Guo, Xiuqing, Hendricks, Audrey E., Karaderi, Tugce, Lempradl, Adelheid, Locke, Adam E., Mahajan, Anubha, Marouli, Eirini, Sivapalaratnam, Suthesh, Young, Kristin L., Alfred, Tamuno, Feitosa, Mary F., Masca, Nicholas G. D., Manning, Alisa K., Medina-Gomez, Carolina, Mudgal, Poorva, Ng, Maggie C. Y., Reiner, Alex P., Vedantam, Sailaja, Willems, Sara M., Winkler, Thomas W., Abecasis, Gonçalo, Aben, Katja K., Alam, Dewan S., Alharthi, Sameer E., Allison, Matthew, Amouyel, Philippe, Asselbergs, Folkert W., Auer, Paul L., Balkau, Beverley, Bang, Lia E., Barroso, Inês, Bastarache, Lisa, Benn, Marianne, Bergmann, Sven, Bielak, Lawrence F., Blüher, Matthias, Boehnke, Michael, Boeing, Heiner, Boerwinkle, Eric, Böger, Carsten A., Bork-Jensen, Jette, Bots, Michiel L., Bottinger, Erwin P., Bowden, Donald W., Brandslund, Ivan, Breen, Gerome, Brilliant, Murray H., Broer, Linda, Brumat, Marco, Burt, Amber A., Butterworth, Adam S., Campbell, Peter T., Cappellani, Stefania, Carey, David J., Catamo, Eulalia, Caulfield, Mark J., Chambers, John C., Chasman, Daniel I., Chen, Yii-Der I., Chowdhury, Rajiv, Christensen, Cramer, Chu, Audrey Y., Cocca, Massimiliano, Collins, Francis S., Cook, James P., Corley, Janie, Galbany, Jordi Corominas, Cox, Amanda J., Crosslin, David S., Cuellar-Partida, Gabriel, D’Eustacchio, Angela, Danesh, John, Davies, Gail, Bakker, Paul I. W., Groot, Mark C. H., Mutsert, Renée, Deary, Ian J., Dedoussis, George, Demerath, Ellen W., Heijer, Martin, Hollander, Anneke I., Ruijter, Hester M., Dennis, Joe G., Denny, Josh C., Di Angelantonio, Emanuele, Drenos, Fotios, Du, Mengmeng, Dubé, Marie-Pierre, Dunning, Alison M., Easton, Douglas F., Edwards, Todd L., Ellinghaus, David, Ellinor, Patrick T., Elliott, Paul, Evangelou, Evangelos, Farmaki, Aliki-Eleni, Farooqi, I. Sadaf, Faul, Jessica D., Fauser, Sascha, Feng, Shuang, Ferrannini, Ele, Ferrieres, Jean, Florez, Jose C., Ford, Ian, Fornage, Myriam, Franco, Oscar H., Franke, Andre, Franks, Paul W., Friedrich, Nele, Frikke-Schmidt, Ruth, Galesloot, Tessel E., Gan, Wei, Gandin, Ilaria, Gasparini, Paolo, Gibson, Jane, Giedraitis, Vilmantas, Gjesing, Anette P., Gordon-Larsen, Penny, Gorski, Mathias, Grabe, Hans-Jörgen, Grant, Struan F. A., Grarup, Niels, Griffiths, Helen L., Grove, Megan L., Gudnason, Vilmundur, Gustafsson, Stefan, Haessler, Jeff, Hakonarson, Hakon, Hammerschlag, Anke R., Hansen, Torben, Harris, Kathleen Mullan, Harris, Tamara B., Hattersley, Andrew T., Have, Christian T., Hayward, Caroline, He, Liang, Heard-Costa, Nancy L., Heath, Andrew C., Heid, Iris M., Helgeland, Øyvind, Hernesniemi, Jussi, Hewitt, Alex W., Holmen, Oddgeir L., Hovingh, G. Kees, Howson, Joanna M. M., Hu, Yao, Huang, Paul L., Huffman, Jennifer E., Ikram, M. Arfan, Ingelsson, Erik, Jackson, Anne U., Jansson, Jan-Håkan, Jarvik, Gail P., Jensen, Gorm B., Jia, Yucheng, Johansson, Stefan, Jørgensen, Marit E., Jørgensen, Torben, Jukema, J. Wouter, Kahali, Bratati, Kahn, René S., Kähönen, Mika, Kamstrup, Pia R., Kanoni, Stavroula, Kaprio, Jaakko, Karaleftheri, Maria, Kardia, Sharon L. R., Karpe, Fredrik, Kathiresan, Sekar, Kee, Frank, Kiemeney, Lambertus A., Kim, Eric, Kitajima, Hidetoshi, Komulainen, Pirjo, Kooner, Jaspal S., Kooperberg, Charles, Korhonen, Tellervo, Kovacs, Peter, Kuivaniemi, Helena, Kutalik, Zoltán, Kuulasmaa, Kari, Kuusisto, Johanna, Laakso, Markku, Lakka, Timo A., Lamparter, David, Lange, Ethan M., Lange, Leslie A., Langenberg, Claudia, Larson, Eric B., Lee, Nanette R., Lehtimäki, Terho, Lewis, Cora E., Li, Huaixing, Li, Jin, Li-Gao, Ruifang, Lin, Honghuang, Lin, Keng-Hung, Lin, Li-An, Lin, Xu, Lind, Lars, Lindström, Jaana, Linneberg, Allan, Liu, Ching-Ti, Liu, Dajiang J., Liu, Yongmei, Lo, Ken S., Lophatananon, Artitaya, Lotery, Andrew J., Loukola, Anu, Luan, Jian’an, Lubitz, Steven A., Lyytikäinen, Leo-Pekka, Männistö, Satu, Marenne, Gaëlle, Mazul, Angela L., McCarthy, Mark I., McKean-Cowdin, Roberta, Medland, Sarah E., Meidtner, Karina, Milani, Lili, Mistry, Vanisha, Mitchell, Paul, Mohlke, Karen L., Moilanen, Leena, Moitry, Marie, Montgomery, Grant W., Mook-Kanamori, Dennis O., Moore, Carmel, Mori, Trevor A., Morris, Andrew D., Morris, Andrew P., Müller-Nurasyid, Martina, Munroe, Patricia B., Nalls, Mike A., Narisu, Narisu, Nelson, Christopher P., Neville, Matt, Nielsen, Sune F., Nikus, Kjell, Njølstad, Pål R., Nordestgaard, Børge G., Nyholt, Dale R., O’Connel, Jeffrey R., O’Donoghue, Michelle L., Loohuis, Loes M. Olde, Ophoff, Roel A., Owen, Katharine R., Packard, Chris J., Padmanabhan, Sandosh, Palmer, Colin N. A., Palmer, Nicholette D., Pasterkamp, Gerard, Patel, Aniruddh P., Pattie, Alison, Pedersen, Oluf, Peissig, Peggy L., Peloso, Gina M., Pennell, Craig E., Perola, Markus, Perry, James A., Perry, John R. B., Pers, Tune H., Person, Thomas N., Peters, Annette, Petersen, Eva R. B., Peyser, Patricia A., Pirie, Ailith, Polasek, Ozren, Polderman, Tinca J., Puolijoki, Hannu, Raitakari, Olli T., Rasheed, Asif, Rauramaa, Rainer, Reilly, Dermot F., Renström, Frida, Rheinberger, Myriam, Ridker, Paul M., Rioux, John D., Rivas, Manuel A., Roberts, David J., Robertson, Neil R., Robino, Antonietta, Rolandsson, Olov, Rudan, Igor, Ruth, Katherine S., Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J., Sapkota, Yadav, Sattar, Naveed, Schoen, Robert E., Schreiner, Pamela J., Schulze, Matthias B., Scott, Robert A., Segura-Lepe, Marcelo P., Shah, Svati H., Sheu, Wayne H.-H., Sim, Xueling, Slater, Andrew J., Small, Kerrin S., Smith, Albert V., Southam, Lorraine, Spector, Timothy D., Speliotes, Elizabeth K., Starr, John M., Stefansson, Kari, Steinthorsdottir, Valgerdur, Stirrups, Kathleen E., Strauch, Konstantin, Stringham, Heather M., Stumvoll, Michael, Sun, Liang, Surendran, Praveen, Swift, Amy J., Tada, Hayato, Tansey, Katherine E., Tardif, Jean-Claude, Taylor, Kent D., Teumer, Alexander, Thompson, Deborah J., Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Thuesen, Betina H., Tönjes, Anke, Tromp, Gerard, Trompet, Stella, Tsafantakis, Emmanouil, Tuomilehto, Jaakko, Tybjaerg-Hansen, Anne, Tyrer, Jonathan P., Uher, Rudolf, Uitterlinden, André G., Uusitupa, Matti, Laan, Sander W., Duijn, Cornelia M., Leeuwen, Nienke, van Setten, Jessica, Vanhala, Mauno, Varbo, Anette, Varga, Tibor V., Varma, Rohit, Edwards, Digna R. Velez, Vermeulen, Sita H., Veronesi, Giovanni, Vestergaard, Henrik, Vitart, Veronique, Vogt, Thomas F., Völker, Uwe, Vuckovic, Dragana, Wagenknecht, Lynne E., Walker, Mark, Wallentin, Lars, Wang, Feijie, Wang, Carol A., Wang, Shuai, Wang, Yiqin, Ware, Erin B., Wareham, Nicholas J., Warren, Helen R., Waterworth, Dawn M., Wessel, Jennifer, White, Harvey D., Willer, Cristen J., Wilson, James G., Witte, Daniel R., Wood, Andrew R., Wu, Ying, Yaghootkar, Hanieh, Yao, Jie, Yao, Pang, Yerges-Armstrong, Laura M., Young, Robin, Zeggini, Eleftheria, Zhan, Xiaowei, Zhang, Weihua, Zhao, Jing Hua, Zhao, Wei, Zhao, Wei, Zhou, Wei, Zondervan, Krina T, CHD Exome+ Consortium, EPIC-CVD Consortium, ExomeBP Consortium, Global Lipids Genetic Consortium, GoT2D Genes Consortium, EPIC InterAct Consortium, INTERVAL Study, ReproGen Consortium, T2D-Genes Consortium, The MAGIC Investigators, Understanding Society Scientific Group, Rotter, Jerome I., Pospisilik, John A., Rivadeneira, Fernando, Borecki, Ingrid B., Deloukas, Panos, Frayling, Timothy M., Lettre, Guillaume, North, Kari E., Lindgren, Cecilia M., Hirschhorn, Joel N., and Loos, Ruth J. F.
Published: 2019
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14. Role of HNFA1 Gene Variants in Pancreatic Beta Cells Function and Glycaemic Control in Young Individuals with Type 1 Diabetes.

Author: Robino, Antonietta, Tornese, Gianluca, Tinti, Davide, Dovc, Klemen, Castorani, Valeria, Conti, Andrea, Franceschi, Roberto, Rabbone, Ivana, Bonfanti, Riccardo, Battelino, Tadej, and Catamo, Eulalia
Subjects: GLYCEMIC control, TYPE 1 diabetes, PANCREATIC beta cells, MATURITY onset diabetes of the young, BETA functions
Abstract: The HNF1A transcription factor, implicated in the regulation of pancreatic beta cells, as well as in glucose and lipid metabolism, is responsible for type 3 maturity-onset diabetes of the young (MODY3). HNF1A is also involved in increased susceptibility to polygenic forms of diabetes, such as type 2 diabetes (T2D) and gestational diabetes (GD), while its possible role in type 1 diabetes (T1D) is not known. In this study, 277 children and adolescents with T1D and 140 healthy controls were recruited. The following SNPs in HNF1A gene were selected: rs1169286, rs1169288, rs7979478, and rs2259816. Through linear or logistic regression analysis, we analyzed their association with T1D susceptibility and related clinical traits, such as insulin dose-adjusted glycated hemoglobin A1c (IDAA1c) and glycated hemoglobin (HbA1c). We found that rs1169286 was associated with IDAA1c and HbA1c values (p-value = 0.0027 and p-value = 0.0075, respectively), while rs1169288 was associated with IDAA1c (p-value = 0.0081). No association between HNF1A SNPs and T1D development emerged. In conclusion, our findings suggest for the first time that HNF1A variants may be a risk factor for beta cell function and glycaemic control in T1D individuals. [ABSTRACT FROM AUTHOR]
Published: 2023
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15. Screening of lipids and kidney function in children and adolescents with Type 1 Diabetes: does age matter?

Author: Catamo, Eulalia, Robino, Antonietta, Dovc, Klemen, Tinti, Davide, Tamaro, Gianluca, Bonfanti, Riccardo, Franceschi, Roberto, Rabbone, Ivana, Battelino, Tadej, and Tornese, Gianluca
Subjects: TYPE 1 diabetes, KIDNEY physiology, HYPERGLYCEMIA, MEDICAL screening, DIET therapy, LIPIDS, DYSLIPIDEMIA
Abstract: Introduction: The purpose of this study was to evaluate lipid profile and kidney function in children and adolescents with Type 1 Diabetes. Methods: This was a retrospective study including 324 children and adolescents with Type 1 Diabetes (48% females, mean age 13.1 ± 3.2 years). For all participants, demographic and clinical information were collected. The prevalence of dyslipidemia and kidney function markers were analyzed according to age. Multivariate linear regression analyses were performed to test the association of lipids or markers of renal function with demographic and clinical information (sex, age, disease duration, BMI SDS, HbA1c). Results: In our study the rate of dyslipidemia reached 32% in children <11 years and 18.5% in those ≥11 years. Children <11 years presented significantly higher triglyceride values. While the albumin-to-creatinine ratio was normal in all individuals, 17% had mildly reduced estimated glomerular filtration rate. Median of HbA1c was the most important determinant of lipids and kidney function, being associated with Total Cholesterol (p-value<0.001); LDL Cholesterol (pvalue= 0.009), HDL Cholesterol (p-value=0.045) and eGFR (p-value=0.001). Conclusion: Dyslipidemia could be present both in children and adolescents, suggesting that screening for markers of diabetic complications should be performed regardless of age, pubertal stage, or disease duration, to optimize glycemia and medical nutrition therapy and/or to start a specific medical treatment. [ABSTRACT FROM AUTHOR]
Published: 2023
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16. Interleukin-18 gene promoter polymorphisms and celiac disease in Italian patients

Author: Zupin, Luisa, Catamo, Eulalia, Polesello, Vania, Crovella, Sergio, and Segat, Ludovica
Published: 2015
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17. HLA-G*0105N allele is associated with augmented risk for HIV infection in white female patients

Author: Segat, Ludovica, Catamo, Eulalia, Fabris, Annalisa, Morgutti, Marcello, DʼAgaro, Pierlanfranco, Campello, Cesare, and Crovella, Sergio
Published: 2010
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18. HLA-G 3′ UTR haplotypes and HIV vertical transmission

Author: Segat, Ludovica, Catamo, Eulalia, Fabris, Annalisa, Padovan, Lara, Morgutti, Marcello, and Crovella, Sergio
Published: 2009
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19. Association between HLA-G 3′UTR 14-bp polymorphism and HIV vertical transmission in Brazilian children

Author: Fabris, Annalisa, Catamo, Eulalia, Segat, Ludovica, Morgutti, Marcello, Claudio Arraes, Luiz, de Lima-Filho, José L, and Crovella, Sergio
Published: 2009
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20. Differences in taste and smell perception between type 2 diabetes mellitus patients and healthy controls.

Author: Catamo, Eulalia, Tornese, Gianluca, Concas, Maria P., Gasparini, Paolo, and Robino, Antonietta
Abstract: Background and Aims: The senses of taste and smell are essential determinants of food choice, which in turn may contribute to the development of chronic diseases, including diabetes. Although past studies have evaluated the relationship between type 2 diabetes mellitus (DM2) and senses disorders, this relationship remains controversial. In this study, we evaluated taste and smell perception in DM2 patients and healthy controls (HC). Moreover, we analyzed the association of chemosensory impairments with anthropometric and clinical outcomes (e.g. Body Mass Index (BMI), Fasting blood glucose (FBG), drugs, cardiovascular diseases (CVD), and hypertension) in DM2 patients.Methods and Results: The study included 94 DM2 patients and 244 HC. Taste recognition for 6-n-propylthiouracil (PROP), quinine, citric acid, sucrose, and sodium chloride (NaCl) compounds was assessed using a filter paper method, while smell recognition of 12 odorants was performed using a Sniffin' sticks test. We found that a higher percentage of DM2 patients showed identification impairment in salt taste (22% vs. 5%, p-value<0.0009) and smell recognition (55% vs. 27%, p-value = 0.03) compared to HC. We also observed that 65% of hypertensive DM2 subjects presented smell identification impairment compared to 18% of non-hypertensive patients (p-value = 0.019). Finally, patients with impairments in both taste and smell showed elevated FBG compared to patients without impairment (149.6 vs.124.3 mg/dL, p-value = 0.04).Conclusion: The prevalence of taste and smell identification impairments was higher in DM2 patients compared to HC, and a possible relationship with glycemic levels emerged. [ABSTRACT FROM AUTHOR]
Published: 2021
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21. Factors associated with food liking and their relationship with metabolic traits in Italian cohorts.

Author: Concas, Maria Pina, Catamo, Eulalia, Biino, Ginevra, Toniolo, Daniela, Gasparini, Paolo, and Robino, Antonietta
Subjects: *SYSTOLIC blood pressure, *BLOOD sugar, *ALCOHOLIC beverages, *FOOD preferences, *BLOOD lipids, *DISEASE risk factors, *ETHNIC foods
Abstract: Highlights • Lifestyle, clinical and food liking data from a large Italian cohort were analysed. • Survey-reported food liking differed by gender, age and food adventurousness. • Survey-reported food liking was associated with adiposity and serum lipids. Abstract Food preferences are influenced by a large number of physiological, nutritional, environmental, sociocultural and genetic factors. From previous studies, survey-reported food likings may reflect habitual intake, being cognitively simple to recall than intake, and have associated with risk factor for diet-related diseases. This work was secondary analysis of a large dataset of personal, clinical and lifestyle measures from 3219 Italian adults to investigate: 1) factors associated with food liking; 2) the relationship between food liking and metabolic phenotypes. Seven food liking groups (alcoholic beverages, cheeses, fish, fruit, meat, sweets foods and vegetables) were defined based on a questionnaire completed by each participant. Multivariate regression analyses showed that factors such as age, gender, education and food behaviour were related with food liking groups. For example, males reported significantly greater liking for alcoholic beverages, fish and meat and a lower liking for vegetables, fruit and sweet foods. Greater liking for all foods was associated with greater self-reported willingness to try unfamiliar foods (food adventurousness). In multivariate regression models and independently from other measures, food liking groups were associated with adiposity, serum lipids, fasting glucose and systolic blood pressure. For instance, greater adiposity was associated with higher liking for meat and cheeses, while higher HDL-cholesterol was associated with higher vegetables liking. Our results from a large adult cohort highlight that many factors may shape survey-reported food liking and suggest their link with metabolic measures. [ABSTRACT FROM AUTHOR]
Published: 2019
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22. Investigation of the link between PROP taste perception and vegetables consumption using FAOSTAT data.

Author: Mezzavilla, Massimo, Notarangelo, Michela, Concas, Maria Pina, Catamo, Eulalia, Gasparini, Paolo, Grillotti, Maria Gemma, and Robino, Antonietta
Subjects: SILK Road, VEGETABLES, TASTE perception, BITTERNESS (Taste), INVERSE relationships (Mathematics)
Abstract: In this work we investigated, in populations located in Central Asia, the relationship between PROP taste perception and vegetables liking and consumption using FAOSTAT dataset. Collected data were analysed using distance matrices, Mantel test and Pearson correlation. Populations showing similar ability in tasting PROP bitterness are more similar as respect to vegetable consumption (r = 0.63, p-value = .05). Moreover, a significant negative correlation was found between the percentage of Non Taster (NT) in different countries and the percentage of vegetable consumption (r = -0.87, p-value = .02), while a significant positive correlation emerged between the percentage of Super Taster (ST) and the percentage of vegetable liking (r = 0.87, p-value = .02). In our work we showed that differences in bitter perception among populations contributes to differences in vegetable liking and vegetable consumption. More in detail, populations with higher percentage of ST consume more vegetables than population where the majority of individuals are NT. [ABSTRACT FROM AUTHOR]
Published: 2019
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23. Association of LTA gene haploblock with periodontal disease in Italian adults.

Author: Zupin, Luisa, Moura Rodrigues, Ronald, Navarra, Chiara Ottavia, Bevilacqua, Lorenzo, Catamo, Eulalia, Di Lenarda, Roberto, Gasparini, Paolo, Crovella, Sergio, and Robino, Antonietta
Subjects: RISK factors of periodontal disease, AGE distribution, CHRONIC diseases, GENETIC polymorphisms, PERIODONTAL disease, REGRESSION analysis, SMOKING, TUMOR necrosis factors, ADULTS
Abstract: Background: Periodontitis is a common oral disease caused by host inflammatory response towards bacteria biofilm. The chronic activation of immune response leads to destruction of teeth supporting tissue, bone loss and tooth detachment. Different factors could be involved in the development and severity of the disease; among them the host genetic background should be considered. Objectives: In our study, we analysed haploblocks in a genomic region within major histocompatibility complex (MHC) locus aimed at disclosing a possible correlation with the risk of periodontal disease in 602 adult subjects from North‐East Italy. Results: The CTTAC haploblock (formed by LTA‐rs2857709, LTA‐rs2844484, LTA‐ rs2229094, LTA‐rs2229092 and LTA‐rs1041981 polymorphisms) correlated with protection towards periodontitis condition, after regression analysis including age and smoking status as covariates (P‐value = 0.015). Conclusion: Our results suggest that a haplotype within LTA gene (encoding for lymphotoxin alpha) is involved in the susceptibility towards chronic periodontitis. [ABSTRACT FROM AUTHOR]
Published: 2019
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24. Prevalence of Clonal Hematopoiesis and Mutation Patterns in Unexplained Anemia of Community-Dwelling Elderly Individuals: A Case-Control Study

Author: Malcovati, Luca, Gallì, Anna, Sala, Cinzia F, Rizzo, Ettore, Molteni, Elisabetta, Zibellini, Silvia, Catamo, Eulalia, Travaglino, Erica, Catricalà, Silvia, Elena, Chiara, Todisco, Gabriele, Bono, ELISA, Bianchessi, Antonio, Ferretti, Virginia Valeria, Gasparini, Paolo, Camaschella, Clara, Toniolo, Daniela, and Cazzola, Mario
Published: 2017
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25. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure underpinning obesity

Author: Turcot, Valérie, Lu, Yingchang, Highland, Heather M, Schurmann, Claudia, Justice, Anne E, Fine, Rebecca S, Bradfield, Jonathan P, Esko, Tõnu, Giri, Ayush, Graff, Mariaelisa, Guo, Xiuqing, Hendricks, Audrey E, Karaderi, Tugce, Lempradl, Adelheid, Locke, Adam E, Mahajan, Anubha, Marouli, Eirini, Sivapalaratnam, Suthesh, Young, Kristin L, Alfred, Tamuno, Feitosa, Mary F, Masca, Nicholas GD, Manning, Alisa K, Medina-Gomez, Carolina, Mudgal, Poorva, Ng, Maggie CY, Reiner, Alex P, Vedantam, Sailaja, Willems, Sara M, Winkler, Thomas W, Abecasis, Goncalo, Aben, Katja K, Alam, Dewan S, Alharthi, Sameer E, Allison, Matthew, Amouyel, Philippe, Asselbergs, Folkert W, Auer, Paul L, Balkau, Beverley, Bang, Lia E, Barroso, Inês, Bastarache, Lisa, Benn, Marianne, Bergmann, Sven, Bielak, Lawrence F, Blüher, Matthias, Boehnke, Michael, Boeing, Heiner, Boerwinkle, Eric, Böger, Carsten A, Bork-Jensen, Jette, Bots, Michiel L, Bottinger, Erwin P, Bowden, Donald W, Brandslund, Ivan, Breen, Gerome, Brilliant, Murray H, Broer, Linda, Brumat, Marco, Burt, Amber A, Butterworth, Adam S, Campbell, Peter T, Cappellani, Stefania, Carey, David J, Catamo, Eulalia, Caulfield, Mark J, Chambers, John C, Chasman, Daniel I, Chen, Yii-Der Ida, Chowdhury, Rajiv, Christensen, Cramer, Chu, Audrey Y, Cocca, Massimiliano, Collins, Francis S, Cook, James P, Corley, Janie, Galbany, Jordi Corominas, Cox, Amanda J, Crosslin, David S, Cuellar-Partida, Gabriel, D'Eustacchio, Angela, Danesh, John, Davies, Gail, de Bakker, Paul IW, de Groot, Mark CH, de Mutsert, Renée, Deary, Ian J, Dedoussis, George, Demerath, Ellen W, den Heijer, Martin, den Hollander, Anneke I, den Ruijter, Hester M, Dennis, Joe G, Denny, Josh C, Di Angelantonio, Emanuele, Drenos, Fotios, Du, Mengmeng, Dubé, Marie-Pierre, Dunning, Alison M, Easton, Douglas F, Edwards, Todd L, Ellinghaus, David, Ellinor, Patrick T, Elliott, Paul, Evangelou, Evangelos, Farmaki, Aliki-Eleni, Farooqi, I. Sadaf, Faul, Jessica D, Fauser, Sascha, Feng, Shuang, Ferrannini, Ele, Ferrieres, Jean, Florez, Jose C, Ford, Ian, Fornage, Myriam, Franco, Oscar H, Franke, Andre, Franks, Paul W, Friedrich, Nele, Frikke-Schmidt, Ruth, Galesloot, Tessel E., Gan, Wei, Gandin, Ilaria, Gasparini, Paolo, Gibson, Jane, Giedraitis, Vilmantas, Gjesing, Anette P, Gordon-Larsen, Penny, Gorski, Mathias, Grabe, Hans-Jörgen, Grant, Struan FA, Grarup, Niels, Griffiths, Helen L, Grove, Megan L, Gudnason, Vilmundur, Gustafsson, Stefan, Haessler, Jeff, Hakonarson, Hakon, Hammerschlag, Anke R, Hansen, Torben, Harris, Kathleen Mullan, Harris, Tamara B, Hattersley, Andrew T, Have, Christian T, Hayward, Caroline, He, Liang, Heard-Costa, Nancy L, Heath, Andrew C, Heid, Iris M, Helgeland, Øyvind, Hernesniemi, Jussi, Hewitt, Alex W, Holmen, Oddgeir L, Hovingh, G Kees, Howson, Joanna MM, Hu, Yao, Huang, Paul L, Huffman, Jennifer E, Ikram, M Arfan, Ingelsson, Erik, Jackson, Anne U, Jansson, Jan-Håkan, Jarvik, Gail P, Jensen, Gorm B, Jia, Yucheng, Johansson, Stefan, Jørgensen, Marit E, Jørgensen, Torben, Jukema, J Wouter, Kahali, Bratati, Kahn, René S, Kähönen, Mika, Kamstrup, Pia R, Kanoni, Stavroula, Kaprio, Jaakko, Karaleftheri, Maria, Kardia, Sharon LR, Karpe, Fredrik, Kathiresan, Sekar, Kee, Frank, Kiemeney, Lambertus A, Kim, Eric, Kitajima, Hidetoshi, Komulainen, Pirjo, Kooner, Jaspal S, Kooperberg, Charles, Korhonen, Tellervo, Kovacs, Peter, Kuivaniemi, Helena, Kutalik, Zoltán, Kuulasmaa, Kari, Kuusisto, Johanna, Laakso, Markku, Lakka, Timo A, Lamparter, David, Lange, Ethan M, Lange, Leslie A, Langenberg, Claudia, Larson, Eric B, Lee, Nanette R, Lehtimäki, Terho, Lewis, Cora E, Li, Huaixing, Li, Jin, Li-Gao, Ruifang, Lin, Honghuang, Lin, Keng-Hung, Lin, Li-An, Lin, Xu, Lind, Lars, Lindström, Jaana, Linneberg, Allan, Liu, Ching-Ti, Liu, Dajiang J, Liu, Yongmei, Lo, Ken Sin, Lophatananon, Artitaya, Lotery, Andrew J, Loukola, Anu, Luan, Jian'an, Lubitz, Steven A, Lyytikäinen, Leo-Pekka, Männistö, Satu, Marenne, Gaëlle, Mazul, Angela L, McCarthy, Mark I, McKean-Cowdin, Roberta, Medland, Sarah E, Meidtner, Karina, Milani, Lili, Mistry, Vanisha, Mitchell, Paul, Mohlke, Karen L, Moilanen, Leena, Moitry, Marie, Montgomery, Grant W, Mook-Kanamori, Dennis O, Moore, Carmel, Mori, Trevor A, Morris, Andrew D, Morris, Andrew P, Müller-Nurasyid, Martina, Munroe, Patricia B, Nalls, Mike A, Narisu, Narisu, Nelson, Christopher P, Neville, Matt, Nielsen, Sune F, Nikus, Kjell, Njølstad, Pål R, Nordestgaard, Børge G, Nyholt, Dale R, O'Connel, Jeffrey R, O’Donoghue, Michelle L., Olde Loohuis, Loes M, Ophoff, Roel A, Owen, Katharine R, Packard, Chris J, Padmanabhan, Sandosh, Palmer, Colin NA, Palmer, Nicholette D, Pasterkamp, Gerard, Patel, Aniruddh P, Pattie, Alison, Pedersen, Oluf, Peissig, Peggy L, Peloso, Gina M, Pennell, Craig E, Perola, Markus, Perry, James A, Perry, John RB, Pers, Tune H, Person, Thomas N, Peters, Annette, Petersen, Eva RB, Peyser, Patricia A, Pirie, Ailith, Polasek, Ozren, Polderman, Tinca J, Puolijoki, Hannu, Raitakari, Olli T, Rasheed, Asif, Rauramaa, Rainer, Reilly, Dermot F, Renström, Frida, Rheinberger, Myriam, Ridker, Paul M, Rioux, John D, Rivas, Manuel A, Roberts, David J, Robertson, Neil R, Robino, Antonietta, Rolandsson, Olov, Rudan, Igor, Ruth, Katherine S, Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J, Sapkota, Yadav, Sattar, Naveed, Schoen, Robert E, Schreiner, Pamela J, Schulze, Matthias B, Scott, Robert A, Segura-Lepe, Marcelo P, Shah, Svati H, Sheu, Wayne H-H, Sim, Xueling, Slater, Andrew J, Small, Kerrin S, Smith, Albert Vernon, Southam, Lorraine, Spector, Timothy D, Speliotes, Elizabeth K, Starr, John M, Stefansson, Kari, Steinthorsdottir, Valgerdur, Stirrups, Kathleen E, Strauch, Konstantin, Stringham, Heather M, Stumvoll, Michael, Sun, Liang, Surendran, Praveen, Swift, Amy J, Tada, Hayato, Tansey, Katherine E, Tardif, Jean-Claude, Taylor, Kent D, Teumer, Alexander, Thompson, Deborah J, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Thuesen, Betina H, Tönjes, Anke, Tromp, Gerard, Trompet, Stella, Tsafantakis, Emmanouil, Tuomilehto, Jaakko, Tybjaerg-Hansen, Anne, Tyrer, Jonathan P, Uher, Rudolf, Uitterlinden, André G, Uusitupa, Matti, van der Laan, Sander W, van Duijn, Cornelia M, van Leeuwen, Nienke, van Setten, Jessica, Vanhala, Mauno, Varbo, Anette, Varga, Tibor V, Varma, Rohit, Velez Edwards, Digna R, Vermeulen, Sita H, Veronesi, Giovanni, Vestergaard, Henrik, Vitart, Veronique, Vogt, Thomas F, Völker, Uwe, Vuckovic, Dragana, Wagenknecht, Lynne E, Walker, Mark, Wallentin, Lars, Wang, Feijie, Wang, Carol A, Wang, Shuai, Wang, Yiqin, Ware, Erin B, Wareham, Nicholas J, Warren, Helen R, Waterworth, Dawn M, Wessel, Jennifer, White, Harvey D, Willer, Cristen J, Wilson, James G, Witte, Daniel R, Wood, Andrew R, Wu, Ying, Yaghootkar, Hanieh, Yao, Jie, Yao, Pang, Yerges-Armstrong, Laura M, Young, Robin, Zeggini, Eleftheria, Zhan, Xiaowei, Zhang, Weihua, Zhao, Jing Hua, Zhao, Wei, Zhou, Wei, Zondervan, Krina T, Rotter, Jerome I, Pospisilik, John A, Rivadeneira, Fernando, Borecki, Ingrid B, Deloukas, Panos, Frayling, Timothy M, Lettre, Guillaume, North, Kari E, Lindgren, Cecilia M, Hirschhorn, Joel N, and Loos, Ruth JF
Abstract: Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, non-coding variants from which pinpointing causal genes remains challenging. Here, we combined data from 718,734 individuals to discover rare and low-frequency (MAF<5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which eight in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2, ZNF169) newly implicated in human obesity, two (MC4R, KSR2) previously observed in extreme obesity, and two variants in GIPR. Effect sizes of rare variants are ~10 times larger than of common variants, with the largest effect observed in carriers of an MC4R stop-codon (p.Tyr35Ter, MAF=0.01%), weighing ~7kg more than non-carriers. Pathway analyses confirmed enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically-supported therapeutic targets to treat obesity.
Published: 2018
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26. HLA-G and susceptibility to develop celiac disease.

Author: Catamo, Eulalia, Zupin, Luisa, Segat, Ludovica, Celsi, Fulvio, and Crovella, Sergio
Subjects: *HLA histocompatibility antigens, *DISEASE susceptibility, *CELIAC disease, *IMMUNOREGULATION, *GENE expression, *GENETIC polymorphisms
Abstract: The Human Leukocyte Antigen-G has immunomodulatory function and its expression has been associated with several diseases. In our study we analyzed HLA-G polymorphisms in order to evaluate their possible association with susceptibility to celiac disease development. A total of 420 celiac patients and 509 controls were genotyped for HLA-G polymorphisms. We sequenced 800 bp upstream the ATG codon (5′ upstream regulatory region) and the whole 3′ untranslated region of the HLA-G gene, whereas the ΔC deletion at exon 3 was detected by RFLP-PCR. Five polymorphisms (namely −477 C>G, −369 C>A, 14 bp del/ins, 3187 A>G, 3196 C>G) and one haplotype (TCGGTACGAAITCCCGAG) were significantly more frequent in celiac patients than controls and associated with increased disease susceptibility. The 14 bp I/I, 3187 G/G, 3196 G/G genotypes and TCGGTACGAAITCCCGAG haplotype, were still significantly associated with increased disease susceptibility (and in addition also the 3003 C/C genotype) when the analysis was restricted to patients and controls presenting the DQ2.5 or DQ8 HLA-DQ celiac disease risk haplotypes. Our findings indicate an association between HLA-G gene polymorphisms and susceptibility to celiac disease development, suggesting that HLA-G molecule is possibly involved in the pathogenesis of the disease. [ABSTRACT FROM AUTHOR]
Published: 2015
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27. Non-classical MHC-I human leukocyte antigen (HLA-G) in hepatotropic viral infections and in hepatocellular carcinoma.

Author: Catamo, Eulalia, Zupin, Luisa, Crovella, Sergio, Celsi, Fulvio, and Segat, Ludovica
Subjects: *MAJOR histocompatibility complex, *HLA histocompatibility antigens, *LIVER cancer, *VIRUS diseases, *IMMUNOREGULATION, *GENE expression in viruses, *DISEASE susceptibility
Abstract: The human leukocyte antigen ( HLA )- G is a “nonclassical” major histocompatibility complex (MHC) class Ib gene, located at chromosome 6, in the 6p21.3 region. The HLA-G presents immunomodulatory functions essential in pregnancy for the tolerance of the semi-allogenic fetus, but an abnormal expression of HLA-G has been observed in numerous pathological conditions, such as tumors, autoimmune diseases and viral infections. In recent years, numerous studies have assessed the clinical relevance of HLA-G expression in different types of cancer: in general, a higher HLA-G expression correlates with a lower survival rate or a shorter disease-free survival. Altered expression of HLA-G has been found in both HCV and HBV infection, and some genetic polymorphisms have been associated with altered susceptibility/disease development for these infections, however, whether the biologic role of HLA-G in HCV and HBV infection is beneficial or hazardous, it is not completely clear. In the context of hepatocellular carcinoma, HLA-G has shown a potential diagnostic role, moreover a prognostic value in HCC patients has been also attributed to HLA-G molecules. We revise here the role of HLA-G in hepatotropic HBV/HCV infections and in hepatocellular carcinoma (HCC). [ABSTRACT FROM AUTHOR]
Published: 2014
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28. HLA-G/C, miRNAs, and Their Role in HIV Infection and Replication.

Author: Celsi, Fulvio, Catamo, Eulalia, Kleiner, Giulio, Tricarico, Paola Maura, Vuch, Josef, and Crovella, Sergio
Abstract: In recent years, a number of different mechanisms regulating gene expressions, either in normal or in pathological conditions, have been discovered. This review aims to highlight some of the regulatory pathways involved during the HIV-1 infection and disease progression, focusing on the novel discovered microRNAs (miRNAs) and their relation with immune system's agents. Human leukocyte antigen (HLA) family of proteins plays a key role because it is a crucial modulator of the immune response; here we will examine recent findings, centering especially on HLA-C and -G, novel players lately discovered to engage in modulation of immune system. We hope to provide novel perspectives useful to find out original therapeutic roads against HIV-1 infection and AIDS progression. [ABSTRACT FROM AUTHOR]
Published: 2013
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29. NALP1/NLRP1 Genetic Variants are Associated With Alzheimer Disease.

Author: Pontillo, Alessandra, Catamo, Eulalia, Arosio, Beatrice, Mari, Daniela, and Crovella, Sergio
Abstract: The article offers information on the study concerning the association of NALP1/NLRPI genetic variants with alzheimer disease (AD). It mentions that the frequency of major alleles of all four single nucleotide polymorphisms and homozygote genotypes in AD patients suggests association between the variants and the development of the disease. It adds that the study used the Haploview software.
Published: 2012
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30. The Missense Variation Q705K in CIAS1/NALP3/NLRP3 Gene and an NLRP1 Haplotype Are Associated With Celiac Disease.

Author: Pontillo, Alessandra, Vendramin, Anna, Catamo, Eulalia, Fabris, Annalisa, and Crovella, Sergio
Subjects: GENES, GENETIC polymorphisms, AUTOIMMUNE diseases, MALABSORPTION syndromes, CELIAC disease, GENETICS
Abstract: OBJECTIVES:Celiac disease (CD) is a multifactorial common disorder with several susceptibility loci. Variations in the NALP1/NLRP1 and NALP3/NLRP3 genes have been reported to confer risk for several autoimmune conditions. We hypothesized that polymorphisms in these genes, due to their role in innate immunity and inflammatory processes, may affect susceptibility to CD.METHODS:Two single-nucleotide polymorphisms (SNPs) in NLRP1 (rs12150220, rs2670660) and two SNPs (rs10754558, rs35829419) in NLRP3 genes were genotyped in 504 CD Italian patients and 256 healthy controls.RESULTS:The minor A allele of NLRP3 rs35829419 (Q705K) polymorphism appeared to exert a protective role against the development of CD (P=0.029; odds ratio (OR)=0.56). Moreover, a particular NLRP1 haplotype was associated with predisposition to CD (P=0.003; OR=1.38), even more when present in combination with the rs35829419 major C allele (P=0.002; OR=1.42).CONCLUSIONS:We hypothesized that the deregulation of CIAS1/NALP3/NLRP3 and NALP1/NLRP1 inflammasomes could have a role in CD pathogenesis. [ABSTRACT FROM AUTHOR]
Published: 2011
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31. HLA-G 14 bp Deletion/Insertion Polymorphism in Celiac Disease.

Author: Fabris, Annalisa, Segat, Ludovica, Catamo, Eulalia, Morgutti, Marcello, Vendramin, Anna, and Crovella, Sergio
Subjects: HISTOCOMPATIBILITY, GENETIC polymorphisms, KILLER cells, T cells, MOLECULES
Abstract: OBJECTIVES:Nonclassical major histocompatibility class I HLA-G antigen is a tolerogenic molecule that inhibits lytic activity of natural killer (NK) cells and cytotoxic T lymphocytes. Because of its immunomodulatory and tolerogenic properties, HLA-G molecules may have a role in celiac disease (CD). We analyzed the HLA-G 14 bp deletion/insertion polymorphism, known to have a functional effect on mRNA stability, in a group of 522 CD patients, stratified for the presence of HLA-DQ2 genotype, and 400 healthy individuals to evaluate the possible effect of the polymorphism on the risk to develop the disease.METHODS:HLA-G 14 bp deletion/insertion polymorphism (rs1704) was detected by polymerase chain reaction and double-checked by direct sequencing.RESULTS:The 14bp inserted (I) allele and the homozygous I/I genotype were significantly more frequent in CD patients than in healthy controls. The presence of I allele was associated with an increased risk of CD (OR 1.35) and the effect of I allele was consistent with a recessive genetic model (P<0.001).CONCLUSIONS:Our results also indicate that the effect of the HLA-G D/I polymorphism is restricted for HLA-DQ2, and not simply due to the presence of linkage disequilibrium with the major known risk factor; moreover we found that the presence of the I allele confers an increased risk of CD in addition to the risk conferred by HLA-DQ2 alone and that subjects that carry both DQ2 and HLA-G I alleles have an increased risk of CD than subjects that carry DQ2 but not the I allele. [ABSTRACT FROM AUTHOR]
Published: 2011
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32. A Brief Review of Genetic Approaches to the Study of Food Preferences: Current Knowledge and Future Directions.

Author: Robino, Antonietta, Concas, Maria Pina, Catamo, Eulalia, and Gasparini, Paolo
Abstract: Genetic variation plays a crucial role in individual differences in food preferences which ultimately influence food selection and health. Our current understanding of this pathway has been informed through twin studies (to assess the heritability of food preferences), candidate gene studies, and genome-wide association studies (GWAS). However, most of this literature is mainly focused on genes previously identified as having taste or smell functions. New data suggests that genes not associated with taste or smell perception may be involved in food preferences and contribute to health outcomes. This review highlights these emerging findings and suggests a polygenic risk assessment approach to explore new relationships between food preferences and health risks. [ABSTRACT FROM AUTHOR]
Published: 2019
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33. Interleukin-10 gene promoter polymorphisms in celiac patients from north-eastern Italy.

Author: Zupin, Luisa, Polesello, Vania, Catamo, Eulalia, Crovella, Sergio, and Segat, Ludovica
Subjects: *CELIAC disease, *INTERLEUKIN-10, *GENETIC polymorphisms, *INTESTINAL diseases, *IMMUNE response, *GLIADINS, *GLUTEN, *PATIENTS
Abstract: Abstract: Celiac disease is a complex chronic intestinal disorder driven by an immune response against the gliadin fraction of gluten: many factors are involved in the pathogenesis of the disease, and among these Interleukin-10 could play an important role. In the present study, the −1082A>G, −819T>C and −592A>C IL10 functional polymorphisms were analyzed in 565 celiac patients and 576 healthy controls from north-eastern Italy, stratified for HLA class II celiac disease risk haplotypes. No significant differences were observed for the three IL10 polymorphisms distribution between celiac patients and controls with the exception of a slightly increased risk for the −1082A allele in HLA-DQ8 male individuals. Although our findings suggest that the IL10 genetic variants analyzed do not have a major role in the susceptibility to the development of celiac disease in north-eastern Italian patients, we think that the possible involvement of IL10 gene in CD should deserve further investigation and that large-scale studies are recommended to confirm our findings. [Copyright &y& Elsevier]
Published: 2014
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34. Eating disinhibition and food liking are influenced by variants in CAV1 (caveolin 1) gene.

Author: Concas, Maria Pina, Cocca, Massimiliano, Catamo, Eulalia, Gasparini, Paolo, and Robino, Antonietta
Subjects: *GENOME-wide association studies, *STRUCTURAL equation modeling, *FOOD habits, *PHENOTYPES, *HIPPOCAMPUS (Brain)
Abstract: • An association of eating disinhibition with CAV1 variants was identified. • An influence of CAV1 variant on sweet foods and alcoholic beverages liking emerged. • No association between CAV1 variant and anthropometric or lipids phenotypes emerged. • Structural Equation Modeling was used to support the findings. Eating behavior is influenced by a combination of environmental and genetic factors. Although candidate gene studies have been conducted, much remains to be understood about genetic influences. Therefore, we conducted a Genome-Wide Association Study (GWAS) aims to identify new variants that influence eating disinhibition. Moreover, we test the possible association of these variants with food liking and metabolic phenotypes. We measured disinhibition in two cohorts of Italian samples using three selected statements from the Three-Factor Eating Questionnaire. Personal and clinical data were collected, as well as liking for different foods and beverages. GWAS was carried out in 1124 individuals; then the best signals (p-value < 1 × 10−5) were studied for replication in 426 independents participants. To study the link of eating disinhibition and associated variants with food liking and metabolic traits, we used linear mixed models and Structural Equation Modeling (SEM). A significant association with CAV1 (caveolin 1) gene (p < 5 × 10−8) was identified. The top SNP (rs6961694) resulted also associated with the liking for sweet foods and alcoholic beverages (p-value < 0.05). Moreover, we observed significant eQTL associations between this SNP and CAV1 expression levels in human tissues such as adipose subcutaneous tissue, pancreas and brain hippocampus (p-value = 0.00022, 0.00015 and 0.017, respectively). Although higher values of BMI, waist, hips and triglycerides were significantly associated with increasing eating disinhibition (p-value < 0.05), no association emerged between the rs6961694 SNP and anthropometric or lipids phenotypes. In conclusion, we describe a significant association between eating traits and CAV1 gene, providing new knowledge on the link existing between genetics, eating behaviour and health status. [ABSTRACT FROM AUTHOR]
Published: 2022
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35. Genome-wide association study in almost 195,000 individuals identifies 50 previously unidentified genetic loci for eye color.

Author: Simcoe, Mark, Valdes, Ana, Fan Liu, Furlotte, Nicholas A., Evans, David M., Hemani, Gibran, Ring, Susan M., Smith, George Davey, Duffy, David L., Gu Zhu, Gordon, Scott D., Medland, Sarah E., Vuckovic, Dragana, Girotto, Giorgia, Sala, Cinzia, Catamo, Eulalia, Concas, Maria Pina, Brumat, Marco, Gasparini, Paolo, and Toniolo, Daniela
Subjects: *EYE color, *HUMAN skin color, *MELANINS
Abstract: The article presents the results of a genome-wide association study for eye color which involved up to 192,986 European participants from ten populations. Topics discussed include evidence for genes involved in melanin pigmentation, associations with genes involved in iris morphology and structure, and eye color as a genetically high complex human trait.
Published: 2021
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36. Influence of HLA-G polymorphisms in human immunodeficiency virus infection and hepatitis C virus co-infection in Brazilian and Italian individuals.

Author: da Silva, G.K., Vianna, Priscila, Veit, Tiago Degani, Crovella, Sergio, Catamo, Eulalia, Cordero, Elvira Alicia Aparicio, Mattevi, Vanessa Suñé, Lazzaretti, Rosmeri Kuhmmer, Sprinz, Eduardo, Kuhmmer, Regina, and Chies, José Artur Bogo
Subjects: *HEPATITIS C virus, *HEPATITIS C risk factors, *HLA histocompatibility antigens, *GENETIC polymorphisms, *GENOTYPE-environment interaction, *BRAZILIANS, *ITALIANS, *DISEASES
Abstract: Highlights: [•] HLA-G 3′ UTR genotypes and haplotypes are associated to risk of HIV infection. [•] The HLA-G 14bp insertion is associated with risk of HCV co-infection in HIV patients. [•] It is important to consider ethnicity in HIV risk association studies. [ABSTRACT FROM AUTHOR]
Published: 2014
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37. Altered Taste Function in Young Individuals With Type 1 Diabetes.

Author: Catamo E, Robino A, Tinti D, Dovc K, Franceschi R, Giangreco M, Gasparini P, Barbi E, Cauvin V, Rabbone I, Battelino T, and Tornese G
Abstract: Past studies on altered taste function in individuals with type 1 diabetes have yielded inconsistent results. We therefore evaluated taste recognition and possible association with personal and diseases characteristics in young individuals with type 1 diabetes and healthy controls. Taste recognition and intensity for 6-n-propylthiouracil (PROP), quinine, citric acid, sucrose, and sodium chloride were assessed using a filter paper method in 276 participants with type 1 diabetes and 147 healthy controls. Personal and clinical data were recorded for all participants during a baseline visit. Regression analysis was adjusted for sex, age, and standardized BMI. Overall, 47% of participants with type 1 diabetes vs. 63.5% of healthy controls recognized all tastes ( p = 0.006). Moreover, a lower capacity for recognizing the bitter taste of PROP and the sour taste of citric acid was found in participants with type 1 diabetes compared to healthy controls ( p = 0.014 and p = 0.003, respectively). While no significant effect of glycemic control on taste recognition was found, an association with lower age at onset emerged. Our findings suggest an impaired taste perception in individuals with type 1 diabetes, possibly linked to age at onset., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Catamo, Robino, Tinti, Dovc, Franceschi, Giangreco, Gasparini, Barbi, Cauvin, Rabbone, Battelino and Tornese.)
Published: 2022
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38. Relationship between clone metrics and clinical outcome in clonal cytopenia.

Author: Gallì A, Todisco G, Catamo E, Sala C, Elena C, Pozzi S, Bono E, Ferretti VV, Rizzo E, Molteni E, Zibellini S, Sarchi M, Boveri E, Ferrari J, Fiorelli N, Camaschella C, Gasparini P, Toniolo D, Cazzola M, and Malcovati L
Subjects: Adult, Aged, Aged, 80 and over, Cohort Studies, DNA Methyltransferase 3A genetics, Female, Gene Frequency, Humans, Male, Middle Aged, Mutation, Young Adult, Clonal Hematopoiesis
Abstract: Clonal cytopenia of undetermined significance (CCUS) is associated with an increased risk of developing a myeloid neoplasm with myelodysplasia (MN). To identify the features of the mutant clone(s) that is associated with clinical phenotype and progression, we studied the following cohorts of individuals: 311 patients with idiopathic cytopenia of undetermined significance (ICUS), 532 community-dwelling individuals without hematologic phenotype (n = 355) or with unexplained anemia (n = 177), and 592 patients with overt MN. Ninety-two of 311 (30%) patients with ICUS carried a somatic genetic lesion that signaled CCUS. Clonal hematopoiesis (CH) was detected in 19.7% and 27.7% of nonanemic and anemic community-dwelling individuals, respectively. Different mutation patterns and variant allele frequencies (VAFs) (clone metrics parameters) were observed in the conditions studied. Recurrent mutation patterns exhibited different VAFs associated with marrow dysplasia (0.17-0.48), indicating variable clinical expressivity of mutant clones. Unsupervised clustering analysis based on mutation profiles identified 2 major clusters, characterized by isolated DNMT3A mutations (CH-like cluster) or combinatorial mutation patterns (MN-like cluster), and showing different overall survival (HR, 1.8). In patients with CCUS, the 2 clusters had different risk of progression to MN (HR, 2.7). Within the MN-like cluster, distinct subsets with different risk of progression to MN were identified based on clone metrics. These findings unveil marked variability in the clinical expressivity of myeloid driver genes and underline the limitations of morphologic dysplasia for clinical staging of mutant hematopoietic clones. Clone metrics appears to be critical for informing clinical decision-making in patients with clonal cytopenia., (© 2021 by The American Society of Hematology.)
Published: 2021
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39. Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels.

Author: Tin A, Marten J, Halperin Kuhns VL, Li Y, Wuttke M, Kirsten H, Sieber KB, Qiu C, Gorski M, Yu Z, Giri A, Sveinbjornsson G, Li M, Chu AY, Hoppmann A, O'Connor LJ, Prins B, Nutile T, Noce D, Akiyama M, Cocca M, Ghasemi S, van der Most PJ, Horn K, Xu Y, Fuchsberger C, Sedaghat S, Afaq S, Amin N, Ärnlöv J, Bakker SJL, Bansal N, Baptista D, Bergmann S, Biggs ML, Biino G, Boerwinkle E, Bottinger EP, Boutin TS, Brumat M, Burkhardt R, Campana E, Campbell A, Campbell H, Carroll RJ, Catamo E, Chambers JC, Ciullo M, Concas MP, Coresh J, Corre T, Cusi D, Felicita SC, de Borst MH, De Grandi A, de Mutsert R, de Vries APJ, Delgado G, Demirkan A, Devuyst O, Dittrich K, Eckardt KU, Ehret G, Endlich K, Evans MK, Gansevoort RT, Gasparini P, Giedraitis V, Gieger C, Girotto G, Gögele M, Gordon SD, Gudbjartsson DF, Gudnason V, Haller T, Hamet P, Harris TB, Hayward C, Hicks AA, Hofer E, Holm H, Huang W, Hutri-Kähönen N, Hwang SJ, Ikram MA, Lewis RM, Ingelsson E, Jakobsdottir J, Jonsdottir I, Jonsson H, Joshi PK, Josyula NS, Jung B, Kähönen M, Kamatani Y, Kanai M, Kerr SM, Kiess W, Kleber ME, Koenig W, Kooner JS, Körner A, Kovacs P, Krämer BK, Kronenberg F, Kubo M, Kühnel B, La Bianca M, Lange LA, Lehne B, Lehtimäki T, Liu J, Loeffler M, Loos RJF, Lyytikäinen LP, Magi R, Mahajan A, Martin NG, März W, Mascalzoni D, Matsuda K, Meisinger C, Meitinger T, Metspalu A, Milaneschi Y, O'Donnell CJ, Wilson OD, Gaziano JM, Mishra PP, Mohlke KL, Mononen N, Montgomery GW, Mook-Kanamori DO, Müller-Nurasyid M, Nadkarni GN, Nalls MA, Nauck M, Nikus K, Ning B, Nolte IM, Noordam R, O'Connell JR, Olafsson I, Padmanabhan S, Penninx BWJH, Perls T, Peters A, Pirastu M, Pirastu N, Pistis G, Polasek O, Ponte B, Porteous DJ, Poulain T, Preuss MH, Rabelink TJ, Raffield LM, Raitakari OT, Rettig R, Rheinberger M, Rice KM, Rizzi F, Robino A, Rudan I, Krajcoviechova A, Cifkova R, Rueedi R, Ruggiero D, Ryan KA, Saba Y, Salvi E, Schmidt H, Schmidt R, Shaffer CM, Smith AV, Smith BH, Spracklen CN, Strauch K, Stumvoll M, Sulem P, Tajuddin SM, Teren A, Thiery J, Thio CHL, Thorsteinsdottir U, Toniolo D, Tönjes A, Tremblay J, Uitterlinden AG, Vaccargiu S, van der Harst P, van Duijn CM, Verweij N, Völker U, Vollenweider P, Waeber G, Waldenberger M, Whitfield JB, Wild SH, Wilson JF, Yang Q, Zhang W, Zonderman AB, Bochud M, Wilson JG, Pendergrass SA, Ho K, Parsa A, Pramstaller PP, Psaty BM, Böger CA, Snieder H, Butterworth AS, Okada Y, Edwards TL, Stefansson K, Susztak K, Scholz M, Heid IM, Hung AM, Teumer A, Pattaro C, Woodward OM, Vitart V, and Köttgen A
Subjects: ATP Binding Cassette Transporter, Subfamily G, Member 2 genetics, Cardiovascular Diseases epidemiology, Cardiovascular Diseases genetics, Cohort Studies, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Gout epidemiology, Gout genetics, Hepatocyte Nuclear Factor 1-alpha genetics, Hepatocyte Nuclear Factor 4 genetics, Humans, Kidney metabolism, Kidney pathology, Liver metabolism, Liver pathology, Metabolic Diseases epidemiology, Metabolic Diseases genetics, Neoplasm Proteins genetics, Organ Specificity, Cardiovascular Diseases blood, Genetic Markers, Gout blood, Metabolic Diseases blood, Polymorphism, Single Nucleotide, Signal Transduction, Uric Acid blood
Abstract: Elevated serum urate levels cause gout and correlate with cardiometabolic diseases via poorly understood mechanisms. We performed a trans-ancestry genome-wide association study of serum urate in 457,690 individuals, identifying 183 loci (147 previously unknown) that improve the prediction of gout in an independent cohort of 334,880 individuals. Serum urate showed significant genetic correlations with many cardiometabolic traits, with genetic causality analyses supporting a substantial role for pleiotropy. Enrichment analysis, fine-mapping of urate-associated loci and colocalization with gene expression in 47 tissues implicated the kidney and liver as the main target organs and prioritized potentially causal genes and variants, including the transcriptional master regulators in the liver and kidney, HNF1A and HNF4A. Experimental validation showed that HNF4A transactivated the promoter of ABCG2, encoding a major urate transporter, in kidney cells, and that HNF4A p.Thr139Ile is a functional variant. Transcriptional coregulation within and across organs may be a general mechanism underlying the observed pleiotropy between urate and cardiometabolic traits.
Published: 2019
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40. A catalog of genetic loci associated with kidney function from analyses of a million individuals.

Author: Wuttke M, Li Y, Li M, Sieber KB, Feitosa MF, Gorski M, Tin A, Wang L, Chu AY, Hoppmann A, Kirsten H, Giri A, Chai JF, Sveinbjornsson G, Tayo BO, Nutile T, Fuchsberger C, Marten J, Cocca M, Ghasemi S, Xu Y, Horn K, Noce D, van der Most PJ, Sedaghat S, Yu Z, Akiyama M, Afaq S, Ahluwalia TS, Almgren P, Amin N, Ärnlöv J, Bakker SJL, Bansal N, Baptista D, Bergmann S, Biggs ML, Biino G, Boehnke M, Boerwinkle E, Boissel M, Bottinger EP, Boutin TS, Brenner H, Brumat M, Burkhardt R, Butterworth AS, Campana E, Campbell A, Campbell H, Canouil M, Carroll RJ, Catamo E, Chambers JC, Chee ML, Chee ML, Chen X, Cheng CY, Cheng Y, Christensen K, Cifkova R, Ciullo M, Concas MP, Cook JP, Coresh J, Corre T, Sala CF, Cusi D, Danesh J, Daw EW, de Borst MH, De Grandi A, de Mutsert R, de Vries APJ, Degenhardt F, Delgado G, Demirkan A, Di Angelantonio E, Dittrich K, Divers J, Dorajoo R, Eckardt KU, Ehret G, Elliott P, Endlich K, Evans MK, Felix JF, Foo VHX, Franco OH, Franke A, Freedman BI, Freitag-Wolf S, Friedlander Y, Froguel P, Gansevoort RT, Gao H, Gasparini P, Gaziano JM, Giedraitis V, Gieger C, Girotto G, Giulianini F, Gögele M, Gordon SD, Gudbjartsson DF, Gudnason V, Haller T, Hamet P, Harris TB, Hartman CA, Hayward C, Hellwege JN, Heng CK, Hicks AA, Hofer E, Huang W, Hutri-Kähönen N, Hwang SJ, Ikram MA, Indridason OS, Ingelsson E, Ising M, Jaddoe VWV, Jakobsdottir J, Jonas JB, Joshi PK, Josyula NS, Jung B, Kähönen M, Kamatani Y, Kammerer CM, Kanai M, Kastarinen M, Kerr SM, Khor CC, Kiess W, Kleber ME, Koenig W, Kooner JS, Körner A, Kovacs P, Kraja AT, Krajcoviechova A, Kramer H, Krämer BK, Kronenberg F, Kubo M, Kühnel B, Kuokkanen M, Kuusisto J, La Bianca M, Laakso M, Lange LA, Langefeld CD, Lee JJ, Lehne B, Lehtimäki T, Lieb W, Lim SC, Lind L, Lindgren CM, Liu J, Liu J, Loeffler M, Loos RJF, Lucae S, Lukas MA, Lyytikäinen LP, Mägi R, Magnusson PKE, Mahajan A, Martin NG, Martins J, März W, Mascalzoni D, Matsuda K, Meisinger C, Meitinger T, Melander O, Metspalu A, Mikaelsdottir EK, Milaneschi Y, Miliku K, Mishra PP, Mohlke KL, Mononen N, Montgomery GW, Mook-Kanamori DO, Mychaleckyj JC, Nadkarni GN, Nalls MA, Nauck M, Nikus K, Ning B, Nolte IM, Noordam R, O'Connell J, O'Donoghue ML, Olafsson I, Oldehinkel AJ, Orho-Melander M, Ouwehand WH, Padmanabhan S, Palmer ND, Palsson R, Penninx BWJH, Perls T, Perola M, Pirastu M, Pirastu N, Pistis G, Podgornaia AI, Polasek O, Ponte B, Porteous DJ, Poulain T, Pramstaller PP, Preuss MH, Prins BP, Province MA, Rabelink TJ, Raffield LM, Raitakari OT, Reilly DF, Rettig R, Rheinberger M, Rice KM, Ridker PM, Rivadeneira F, Rizzi F, Roberts DJ, Robino A, Rossing P, Rudan I, Rueedi R, Ruggiero D, Ryan KA, Saba Y, Sabanayagam C, Salomaa V, Salvi E, Saum KU, Schmidt H, Schmidt R, Schöttker B, Schulz CA, Schupf N, Shaffer CM, Shi Y, Smith AV, Smith BH, Soranzo N, Spracklen CN, Strauch K, Stringham HM, Stumvoll M, Svensson PO, Szymczak S, Tai ES, Tajuddin SM, Tan NYQ, Taylor KD, Teren A, Tham YC, Thiery J, Thio CHL, Thomsen H, Thorleifsson G, Toniolo D, Tönjes A, Tremblay J, Tzoulaki I, Uitterlinden AG, Vaccargiu S, van Dam RM, van der Harst P, van Duijn CM, Velez Edward DR, Verweij N, Vogelezang S, Völker U, Vollenweider P, Waeber G, Waldenberger M, Wallentin L, Wang YX, Wang C, Waterworth DM, Bin Wei W, White H, Whitfield JB, Wild SH, Wilson JF, Wojczynski MK, Wong C, Wong TY, Xu L, Yang Q, Yasuda M, Yerges-Armstrong LM, Zhang W, Zonderman AB, Rotter JI, Bochud M, Psaty BM, Vitart V, Wilson JG, Dehghan A, Parsa A, Chasman DI, Ho K, Morris AP, Devuyst O, Akilesh S, Pendergrass SA, Sim X, Böger CA, Okada Y, Edwards TL, Snieder H, Stefansson K, Hung AM, Heid IM, Scholz M, Teumer A, Köttgen A, and Pattaro C
Subjects: Chromosome Mapping, Genome-Wide Association Study, Glomerular Filtration Rate, Humans, Inheritance Patterns, Kidney Function Tests, Phenotype, Polymorphism, Single Nucleotide, Renal Insufficiency, Chronic urine, Uromodulin urine, White People, Genetic Association Studies methods, Genetic Predisposition to Disease, Quantitative Trait Loci, Quantitative Trait, Heritable, Renal Insufficiency, Chronic genetics, Renal Insufficiency, Chronic physiopathology
Abstract: Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.
Published: 2019
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