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1. Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

Author

Mahajan, Anubha, Spracklen, Cassandra N, Zhang, Weihua, Ng, Maggie CY, Petty, Lauren E, Kitajima, Hidetoshi, Yu, Grace Z, Rüeger, Sina, Speidel, Leo, Kim, Young Jin, Horikoshi, Momoko, Mercader, Josep M, Taliun, Daniel, Moon, Sanghoon, Kwak, Soo-Heon, Robertson, Neil R, Rayner, Nigel W, Loh, Marie, Kim, Bong-Jo, Chiou, Joshua, Miguel-Escalada, Irene, della Briotta Parolo, Pietro, Lin, Kuang, Bragg, Fiona, Preuss, Michael H, Takeuchi, Fumihiko, Nano, Jana, Guo, Xiuqing, Lamri, Amel, Nakatochi, Masahiro, Scott, Robert A, Lee, Jung-Jin, Huerta-Chagoya, Alicia, Graff, Mariaelisa, Chai, Jin-Fang, Parra, Esteban J, Yao, Jie, Bielak, Lawrence F, Tabara, Yasuharu, Hai, Yang, Steinthorsdottir, Valgerdur, Cook, James P, Kals, Mart, Grarup, Niels, Schmidt, Ellen M, Pan, Ian, Sofer, Tamar, Wuttke, Matthias, Sarnowski, Chloe, Gieger, Christian, Nousome, Darryl, Trompet, Stella, Long, Jirong, Sun, Meng, Tong, Lin, Chen, Wei-Min, Ahmad, Meraj, Noordam, Raymond, Lim, Victor JY, Tam, Claudia HT, Joo, Yoonjung Yoonie, Chen, Chien-Hsiun, Raffield, Laura M, Lecoeur, Cécile, Prins, Bram Peter, Nicolas, Aude, Yanek, Lisa R, Chen, Guanjie, Jensen, Richard A, Tajuddin, Salman, Kabagambe, Edmond K, An, Ping, Xiang, Anny H, Choi, Hyeok Sun, Cade, Brian E, Tan, Jingyi, Flanagan, Jack, Abaitua, Fernando, Adair, Linda S, Adeyemo, Adebowale, Aguilar-Salinas, Carlos A, Akiyama, Masato, Anand, Sonia S, Bertoni, Alain, Bian, Zheng, Bork-Jensen, Jette, Brandslund, Ivan, Brody, Jennifer A, Brummett, Chad M, Buchanan, Thomas A, Canouil, Mickaël, Chan, Juliana CN, Chang, Li-Ching, Chee, Miao-Li, Chen, Ji, Chen, Shyh-Huei, Chen, Yuan-Tsong, Chen, Zhengming, Chuang, Lee-Ming, and Cushman, Mary

Subjects
Genetics, Diabetes, Human Genome, Metabolic and endocrine, Diabetes Mellitus, Type 2, Ethnicity, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Risk Factors, FinnGen, eMERGE Consortium, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P 50% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying the foundations for functional investigations. Multi-ancestry genetic risk scores enhanced transferability of T2D prediction across diverse populations. Our study provides a step toward more effective clinical translation of T2D GWAS to improve global health for all, irrespective of genetic background.

Published
2022

2. Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution

Author

Justice, Anne E, Karaderi, Tugce, Highland, Heather M, Young, Kristin L, Graff, Mariaelisa, Lu, Yingchang, Turcot, Valérie, Auer, Paul L, Fine, Rebecca S, Guo, Xiuqing, Schurmann, Claudia, Lempradl, Adelheid, Marouli, Eirini, Mahajan, Anubha, Winkler, Thomas W, Locke, Adam E, Medina-Gomez, Carolina, Esko, Tõnu, Vedantam, Sailaja, Giri, Ayush, Lo, Ken Sin, Alfred, Tamuno, Mudgal, Poorva, Ng, Maggie CY, Heard-Costa, Nancy L, Feitosa, Mary F, Manning, Alisa K, Willems, Sara M, Sivapalaratnam, Suthesh, Abecasis, Goncalo, Alam, Dewan S, Allison, Matthew, Amouyel, Philippe, Arzumanyan, Zorayr, Balkau, Beverley, Bastarache, Lisa, Bergmann, Sven, Bielak, Lawrence F, Blüher, Matthias, Boehnke, Michael, Boeing, Heiner, Boerwinkle, Eric, Böger, Carsten A, Bork-Jensen, Jette, Bottinger, Erwin P, Bowden, Donald W, Brandslund, Ivan, Broer, Linda, Burt, Amber A, Butterworth, Adam S, Caulfield, Mark J, Cesana, Giancarlo, Chambers, John C, Chasman, Daniel I, Chen, Yii-Der Ida, Chowdhury, Rajiv, Christensen, Cramer, Chu, Audrey Y, Collins, Francis S, Cook, James P, Cox, Amanda J, Crosslin, David S, Danesh, John, de Bakker, Paul IW, Denus, Simon de, Mutsert, Renée de, Dedoussis, George, Demerath, Ellen W, Dennis, Joe G, Denny, Josh C, Di Angelantonio, Emanuele, Dörr, Marcus, Drenos, Fotios, Dubé, Marie-Pierre, Dunning, Alison M, Easton, Douglas F, Elliott, Paul, Evangelou, Evangelos, Farmaki, Aliki-Eleni, Feng, Shuang, Ferrannini, Ele, Ferrieres, Jean, Florez, Jose C, Fornage, Myriam, Fox, Caroline S, Franks, Paul W, Friedrich, Nele, Gan, Wei, Gandin, Ilaria, Gasparini, Paolo, Giedraitis, Vilmantas, Girotto, Giorgia, Gorski, Mathias, Grallert, Harald, Grarup, Niels, Grove, Megan L, Gustafsson, Stefan, Haessler, Jeff, Hansen, Torben, and Hattersley, Andrew T

Subjects
Clinical Research, Obesity, Genetics, Nutrition, Prevention, Biotechnology, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Cardiovascular, Animals, Body Fat Distribution, Body Mass Index, Case-Control Studies, Drosophila, Exome, Female, Gene Frequency, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Homeostasis, Humans, Lipids, Male, Proteins, Risk Factors, Waist-Hip Ratio, CHD Exome+ Consortium, Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, EPIC-CVD Consortium, ExomeBP Consortium, Global Lipids Genetic Consortium, GoT2D Genes Consortium, InterAct, ReproGen Consortium, T2D-Genes Consortium, MAGIC Investigators, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Body-fat distribution is a risk factor for adverse cardiovascular health consequences. We analyzed the association of body-fat distribution, assessed by waist-to-hip ratio adjusted for body mass index, with 228,985 predicted coding and splice site variants available on exome arrays in up to 344,369 individuals from five major ancestries (discovery) and 132,177 European-ancestry individuals (validation). We identified 15 common (minor allele frequency, MAF ≥5%) and nine low-frequency or rare (MAF

Published
2019

3. 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

4. Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes.

Author

Mahajan, Anubha, Wessel, Jennifer, Willems, Sara M, Zhao, Wei, Robertson, Neil R, Chu, Audrey Y, Gan, Wei, Kitajima, Hidetoshi, Taliun, Daniel, Rayner, N William, Guo, Xiuqing, Lu, Yingchang, Li, Man, Jensen, Richard A, Hu, Yao, Huo, Shaofeng, Lohman, Kurt K, Zhang, Weihua, Cook, James P, Prins, Bram Peter, Flannick, Jason, Grarup, Niels, Trubetskoy, Vassily Vladimirovich, Kravic, Jasmina, Kim, Young Jin, Rybin, Denis V, Yaghootkar, Hanieh, Müller-Nurasyid, Martina, Meidtner, Karina, Li-Gao, Ruifang, Varga, Tibor V, Marten, Jonathan, Li, Jin, Smith, Albert Vernon, An, Ping, Ligthart, Symen, Gustafsson, Stefan, Malerba, Giovanni, Demirkan, Ayse, Tajes, Juan Fernandez, Steinthorsdottir, Valgerdur, Wuttke, Matthias, Lecoeur, Cécile, Preuss, Michael, Bielak, Lawrence F, Graff, Marielisa, Highland, Heather M, Justice, Anne E, Liu, Dajiang J, Marouli, Eirini, Peloso, Gina Marie, Warren, Helen R, ExomeBP Consortium, MAGIC Consortium, GIANT Consortium, Afaq, Saima, Afzal, Shoaib, Ahlqvist, Emma, Almgren, Peter, Amin, Najaf, Bang, Lia B, Bertoni, Alain G, Bombieri, Cristina, Bork-Jensen, Jette, Brandslund, Ivan, Brody, Jennifer A, Burtt, Noël P, Canouil, Mickaël, Chen, Yii-Der Ida, Cho, Yoon Shin, Christensen, Cramer, Eastwood, Sophie V, Eckardt, Kai-Uwe, Fischer, Krista, Gambaro, Giovanni, Giedraitis, Vilmantas, Grove, Megan L, de Haan, Hugoline G, Hackinger, Sophie, Hai, Yang, Han, Sohee, Tybjærg-Hansen, Anne, Hivert, Marie-France, Isomaa, Bo, Jäger, Susanne, Jørgensen, Marit E, Jørgensen, Torben, Käräjämäki, Annemari, Kim, Bong-Jo, Kim, Sung Soo, Koistinen, Heikki A, Kovacs, Peter, Kriebel, Jennifer, Kronenberg, Florian, Läll, Kristi, Lange, Leslie A, Lee, Jung-Jin, Lehne, Benjamin, Li, Huaixing, and Lin, Keng-Hung

Subjects
ExomeBP Consortium, MAGIC Consortium, GIANT Consortium, Humans, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Chromosome Mapping, Alleles, European Continental Ancestry Group, Female, Male, Genetic Variation, Genome-Wide Association Study, Whole Exome Sequencing, Diabetes Mellitus, Type 2, Developmental Biology, Biological Sciences, Medical and Health Sciences
Abstract

We aggregated coding variant data for 81,412 type 2 diabetes cases and 370,832 controls of diverse ancestry, identifying 40 coding variant association signals (P

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. Meta-analysis of rare and common exome chip variants identifies S1PR4 and other loci influencing blood cell traits

Author

Pankratz, Nathan, Schick, Ursula M, Zhou, Yi, Zhou, Wei, Ahluwalia, Tarunveer Singh, Allende, Maria Laura, Auer, Paul L, Bork-Jensen, Jette, Brody, Jennifer A, Chen, Ming-Huei, Clavo, Vinna, Eicher, John D, Grarup, Niels, Hagedorn, Elliott J, Hu, Bella, Hunker, Kristina, Johnson, Andrew D, Leusink, Maarten, Lu, Yingchang, Lyytikainen, Leo-Pekka, Manichaikul, Ani, Marioni, Riccardo E, Nalls, Mike A, Pazoki, Raha, Smith, Albert Vernon, van Rooij, Frank JA, Yang, Min-Lee, Zhang, Xiaoling, Zhang, Yan, Asselbergs, Folkert W, Boerwinkle, Eric, Borecki, Ingrid B, Bottinger, Erwin P, Cushman, Mary, de Bakker, Paul IW, Deary, Ian J, Dong, Liguang, Feitosa, Mary F, Floyd, James S, Franceschini, Nora, Franco, Oscar H, Garcia, Melissa E, Grove, Megan L, Gudnason, Vilmundur, Hansen, Torben, Harris, Tamara B, Hofman, Albert, Jackson, Rebecca D, Jia, Jia, Kahonen, Mika, Launer, Lenore J, Lehtimaki, Terho, Liewald, David C, Linneberg, Allan, Liu, Yongmei, Loos, Ruth JF, Nguyen, Vy M, Numans, Mattijs E, Pedersen, Oluf, Psaty, Bruce M, Raitakari, Olli T, Rich, Stephen S, Rivadeneira, Fernando, Di Sant, Amanda M Rosa, Rotter, Jerome I, Starr, John M, Taylor, Kent D, Thuesen, Betina Heinsbaek, Tracy, Russell P, Uitterlinden, Andre G, Wang, Jiansong, Wang, Judy, Dehghan, Abbas, Huo, Yong, Cupples, L Adrienne, Wilson, James G, Proia, Richard L, Zon, Leonard I, O'Donnell, Christopher J, Reiner, Alex P, and Ganesh, Santhi K

Subjects
Biological Sciences, Genetics, Prevention, Human Genome, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Cardiovascular, Animals, Erythrocyte Count, Erythrocytes, Ethnicity, Exome, Female, Genetic Loci, Genome-Wide Association Study, Hematocrit, Humans, Male, Mice, Quantitative Trait Loci, Receptors, Lysosphingolipid, Zebrafish, CHARGE Consortium Hematology Working Group, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Hematologic measures such as hematocrit and white blood cell (WBC) count are heritable and clinically relevant. We analyzed erythrocyte and WBC phenotypes in 52,531 individuals (37,775 of European ancestry, 11,589 African Americans, and 3,167 Hispanic Americans) from 16 population-based cohorts with Illumina HumanExome BeadChip genotypes. We then performed replication analyses of new discoveries in 18,018 European-American women and 5,261 Han Chinese. We identified and replicated four new erythrocyte trait-locus associations (CEP89, SHROOM3, FADS2, and APOE) and six new WBC loci for neutrophil count (S1PR4), monocyte count (BTBD8, NLRP12, and IL17RA), eosinophil count (IRF1), and total WBC count (MYB). The association of a rare missense variant in S1PR4 supports the role of sphingosine-1-phosphate signaling in leukocyte trafficking and circulating neutrophil counts. Loss-of-function experiments for S1pr4 in mouse and s1pr4 in zebrafish demonstrated phenotypes consistent with the association observed in humans and altered kinetics of neutrophil recruitment and resolution in response to tissue injury.

Published
2016

7. Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps

Author

Mahajan, Anubha, Taliun, Daniel, Thurner, Matthias, Robertson, Neil R., Torres, Jason M., Rayner, N. William, Payne, Anthony J., Steinthorsdottir, Valgerdur, Scott, Robert A., Grarup, Niels, Cook, James P., Schmidt, Ellen M., Wuttke, Matthias, Sarnowski, Chloé, Mägi, Reedik, Nano, Jana, Gieger, Christian, Trompet, Stella, Lecoeur, Cécile, Preuss, Michael H., Prins, Bram Peter, Guo, Xiuqing, Bielak, Lawrence F., Below, Jennifer E., Bowden, Donald W., Chambers, John Campbell, Kim, Young Jin, Ng, Maggie C. Y., Petty, Lauren E., Sim, Xueling, Zhang, Weihua, Bennett, Amanda J., Bork-Jensen, Jette, Brummett, Chad M., Canouil, Mickaël, Ec kardt, Kai-Uwe, Fischer, Krista, Kardia, Sharon L. R., Kronenberg, Florian, Läll, Kristi, Liu, Ching-Ti, Locke, Adam E., Luan, Jian’an, Ntalla, Ioanna, Nylander, Vibe, Schönherr, Sebastian, Schurmann, Claudia, Yengo, Loïc, Bottinger, Erwin P., Brandslund, Ivan, Christensen, Cramer, Dedoussis, George, Florez, Jose C., Ford, Ian, Franco, Oscar H., Frayling, Timothy M., Giedraitis, Vilmantas, Hackinger, Sophie, Hattersley, Andrew T., Herder, Christian, Ikram, M. Arfan, Ingelsson, Martin, Jørgensen, Marit E., Jørgensen, Torben, Kriebel, Jennifer, Kuusisto, Johanna, Ligthart, Symen, Lindgren, Cecilia M., Linneberg, Allan, Lyssenko, Valeriya, Mamakou, Vasiliki, Meitinger, Thomas, Mohlke, Karen L., Morris, Andrew D., Nadkarni, Girish, Pankow, James S., Peters, Annette, Sattar, Naveed, Stančáková, Alena, Strauch, Konstantin, Taylor, Kent D., Thorand, Barbara, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Tuomilehto, Jaakko, Witte, Daniel R., Dupuis, Josée, Peyser, Patricia A., Zeggini, Eleftheria, Loos, Ruth J. F., Froguel, Philippe, Ingelsson, Erik, Lind, Lars, Groop, Leif, Laakso, Markku, Collins, Francis S., Jukema, J. Wouter, Palmer, Colin N. A., Grallert, Harald, Metspalu, Andres, Dehghan, Abbas, Köttgen, Anna, Abecasis, Goncalo R., Meigs, James B., Rotter, Jerome I., Marchini, Jonathan, Pedersen, Oluf, Hansen, Torben, Langenberg, Claudia, Wareham, Nicholas J., Stefansson, Kari, Gloyn, Anna L., Morris, Andrew P., Boehnke, Michael, and McCarthy, Mark I.

Published
2018
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8. 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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9. Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

Author

Surendran, Praveen, Feofanova, Elena V., Lahrouchi, Najim, Ntalla, Ioanna, Karthikeyan, Savita, Cook, James, Chen, Lingyan, Mifsud, Borbala, Yao, Chen, Kraja, Aldi T., Cartwright, James H., Hellwege, Jacklyn N., Giri, Ayush, Tragante, Vinicius, Thorleifsson, Gudmar, Liu, Dajiang J., Prins, Bram P., Stewart, Isobel D., Cabrera, Claudia P., Eales, James M., Akbarov, Artur, Auer, Paul L., Bielak, Lawrence F., Bis, Joshua C., Braithwaite, Vickie S., Brody, Jennifer A., Daw, E. Warwick, Warren, Helen R., Drenos, Fotios, Nielsen, Sune Fallgaard, Faul, Jessica D., Fauman, Eric B., Fava, Cristiano, Ferreira, Teresa, Foley, Christopher N., Franceschini, Nora, Gao, He, Giannakopoulou, Olga, Giulianini, Franco, Gudbjartsson, Daniel F., Guo, Xiuqing, Harris, Sarah E., Havulinna, Aki S., Helgadottir, Anna, Huffman, Jennifer E., Hwang, Shih-Jen, Kanoni, Stavroula, Kontto, Jukka, Larson, Martin G., Li-Gao, Ruifang, Lindström, Jaana, Lotta, Luca A., Lu, Yingchang, Luan, Jian’an, Mahajan, Anubha, Malerba, Giovanni, Masca, Nicholas G. D., Mei, Hao, Menni, Cristina, Mook-Kanamori, Dennis O., Mosen-Ansorena, David, Müller-Nurasyid, Martina, Paré, Guillaume, Paul, Dirk S., Perola, Markus, Poveda, Alaitz, Rauramaa, Rainer, Richard, Melissa, Richardson, Tom G., Sepúlveda, Nuno, Sim, Xueling, Smith, Albert V., Smith, Jennifer A., Staley, James R., Stanáková, Alena, Sulem, Patrick, Thériault, Sébastien, Thorsteinsdottir, Unnur, Trompet, Stella, Varga, Tibor V., Velez Edwards, Digna R., Veronesi, Giovanni, Weiss, Stefan, Willems, Sara M., Yao, Jie, Young, Robin, Yu, Bing, Zhang, Weihua, Zhao, Jing-Hua, Zhao, Wei, Zhao, Wei, Evangelou, Evangelos, Aeschbacher, Stefanie, Asllanaj, Eralda, Blankenberg, Stefan, Bonnycastle, Lori L., Bork-Jensen, Jette, Brandslund, Ivan, Braund, Peter S., Burgess, Stephen, Cho, Kelly, Christensen, Cramer, Connell, John, Mutsert, Renée de, Dominiczak, Anna F., Dörr, Marcus, Eiriksdottir, Gudny, Farmaki, Aliki-Eleni, Gaziano, J. Michael, Grarup, Niels, Grove, Megan L., Hallmans, Göran, Hansen, Torben, Have, Christian T., Heiss, Gerardo, Jørgensen, Marit E., Jousilahti, Pekka, Kajantie, Eero, Kamat, Mihir, Käräjämäki, AnneMari, Karpe, Fredrik, Koistinen, Heikki A., Kovesdy, Csaba P., Kuulasmaa, Kari, Laatikainen, Tiina, Lannfelt, Lars, Lee, I-Te, Lee, Wen-Jane, Linneberg, Allan, Martin, Lisa W., Moitry, Marie, Nadkarni, Girish, Neville, Matt J., Palmer, Colin N. A., Papanicolaou, George J., Pedersen, Oluf, Peters, James, Poulter, Neil, Rasheed, Asif, Rasmussen, Katrine L., Rayner, N. William, Mägi, Reedik, Renström, Frida, Rettig, Rainer, Rossouw, Jacques, Schreiner, Pamela J., Sever, Peter S., Sigurdsson, Emil L., Skaaby, Tea, Sun, Yan V., Sundstrom, Johan, Thorgeirsson, Gudmundur, Esko, Tõnu, Trabetti, Elisabetta, Tsao, Philip S., Tuomi, Tiinamaija, Turner, Stephen T., Tzoulaki, Ioanna, Vaartjes, Ilonca, Vergnaud, Anne-Claire, Willer, Cristen J., Wilson, Peter W. F., Witte, Daniel R., Yonova-Doing, Ekaterina, Zhang, He, Aliya, Naheed, Almgren, Peter, Amouyel, Philippe, Asselbergs, Folkert W., Barnes, Michael R., Blakemore, Alexandra I., Boehnke, Michael, Bots, Michiel L., Bottinger, Erwin P., Buring, Julie E., Chambers, John C., Chen, Yii-Der Ida, Chowdhury, Rajiv, Conen, David, Correa, Adolfo, Davey Smith, George, Boer, Rudolf A. de, Deary, Ian J., Dedoussis, George, Deloukas, Panos, Di Angelantonio, Emanuele, Elliott, Paul, Felix, Stephan B., Ferrières, Jean, Ford, Ian, Fornage, Myriam, Franks, Paul W., Franks, Stephen, Frossard, Philippe, Gambaro, Giovanni, Gaunt, Tom R., Groop, Leif, Gudnason, Vilmundur, Harris, Tamara B., Hayward, Caroline, Hennig, Branwen J., Herzig, Karl-Heinz, Ingelsson, Erik, Tuomilehto, Jaakko, Järvelin, Marjo-Riitta, Jukema, J. Wouter, Kardia, Sharon L. R., Kee, Frank, Kooner, Jaspal S., Kooperberg, Charles, Launer, Lenore J., Lind, Lars, Loos, Ruth J. F., Majumder, Abdulla al Shafi., Laakso, Markku, McCarthy, Mark I., Melander, Olle, Mohlke, Karen L., Murray, Alison D., Nordestgaard, Børge Grønne, Orho-Melander, Marju, Packard, Chris J., Padmanabhan, Sandosh, Palmas, Walter, Polasek, Ozren, Porteous, David J., Prentice, Andrew M., Province, Michael A., Relton, Caroline L., Rice, Kenneth, Ridker, Paul M., Rolandsson, Olov, Rosendaal, Frits R., Rotter, Jerome I., Rudan, Igor, Salomaa, Veikko, Samani, Nilesh J., Sattar, Naveed, Sheu, Wayne H.-H., Smith, Blair H., Soranzo, Nicole, Spector, Timothy D., Starr, John M., Sebert, Sylvain, Taylor, Kent D., Lakka, Timo A., Timpson, Nicholas J., Tobin, Martin D., van der Harst, Pim, van der Meer, Peter, Ramachandran, Vasan S., Verweij, Niek, Virtamo, Jarmo, Völker, Uwe, Weir, David R., Zeggini, Eleftheria, Charchar, Fadi J., Wareham, Nicholas J., Langenberg, Claudia, Tomaszewski, Maciej, Butterworth, Adam S., Caulfield, Mark J., Danesh, John, Edwards, Todd L., Holm, Hilma, Hung, Adriana M., Lindgren, Cecilia M., Liu, Chunyu, Manning, Alisa K., Morris, Andrew P., Morrison, Alanna C., O’Donnell, Christopher J., Psaty, Bruce M., Saleheen, Danish, Stefansson, Kari, Boerwinkle, Eric, Chasman, Daniel I., Levy, Daniel, Newton-Cheh, Christopher, Munroe, Patricia B., and Howson, Joanna M. M.

Abstract

Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency?>?0.05). In a meta-analysis of up to ~1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency?=?0.01) variant BP associations (P?

Published
2020
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10. Exome-wide association study of plasma lipids in >300,000 individuals

Author

Liu, Dajiang J, Peloso, Gina M, Yu, Haojie, Butterworth, Adam S, Wang, Xiao, Mahajan, Anubha, Saleheen, Danish, Emdin, Connor, Alam, Dewan, Alves, Alexessander Couto, Amouyel, Philippe, Di Angelantonio, Emanuele, Arveiler, Dominique, Assimes, Themistocles L, Auer, Paul L, Baber, Usman, Ballantyne, Christie M, Bang, Lia E, Benn, Marianne, Bis, Joshua C, Boehnke, Michael, Boerwinkle, Eric, Bork-Jensen, Jette, Bottinger, Erwin P, Brandslund, Ivan, Brown, Morris, Busonero, Fabio, Caulfield, Mark J, Chambers, John C, Chasman, Daniel I, Chen, Y Eugene, Chen, Yii-Der Ida, Chowdhury, Rajiv, Christensen, Cramer, Chu, Audrey Y, Connell, John M, Cucca, Francesco, Cupples, L Adrienne, Damrauer, Scott M, Davies, Gail, Deary, Ian J, Dedoussis, George, Denny, Joshua C, Dominiczak, Anna, Dubé, Marie-Pierre, Ebeling, Tapani, Eiriksdottir, Gudny, Esko, Tõnu, Farmaki, Aliki-Eleni, Feitosa, Mary F, Ferrario, Marco, Ferrieres, Jean, Ford, Ian, Fornage, Myriam, Franks, Paul W, Frayling, Timothy M, Frikke-Schmidt, Ruth, Fritsche, Lars G, Frossard, Philippe, Fuster, Valentin, Ganesh, Santhi K, Gao, Wei, Garcia, Melissa E, Gieger, Christian, Giulianini, Franco, Goodarzi, Mark O, Grallert, Harald, Grarup, Niels, Groop, Leif, Grove, Megan L, Gudnason, Vilmundur, Hansen, Torben, Harris, Tamara B, Hayward, Caroline, Hirschhorn, Joel N, Holmen, Oddgeir L, Huffman, Jennifer, Huo, Yong, Hveem, Kristian, Jabeen, Sehrish, Jackson, Anne U, Jakobsdottir, Johanna, Jarvelin, Marjo-Riitta, Jensen, Gorm B, Jørgensen, Marit E, Jukema, J Wouter, Justesen, Johanne M, Kamstrup, Pia R, Kanoni, Stavroula, Karpe, Fredrik, Kee, Frank, Khera, Amit V, Klarin, Derek, Koistinen, Heikki A, Kooner, Jaspal S, Kooperberg, Charles, Kuulasmaa, Kari, Kuusisto, Johanna, Laakso, Markku, Lakka, Timo, Langenberg, Claudia, Langsted, Anne, Launer, Lenore J, Lauritzen, Torsten, Liewald, David C M, Lin, Li An, Linneberg, Allan, Loos, Ruth J F, Lu, Yingchang, Lu, Xiangfeng, Mägi, Reedik, Malarstig, Anders, Manichaikul, Ani, Manning, Alisa K, Mäntyselkä, Pekka, Marouli, Eirini, Masca, Nicholas G D, Maschio, Andrea, Meigs, James B, Melander, Olle, Metspalu, Andres, Morris, Andrew P, Morrison, Alanna C, Mulas, Antonella, Müller-Nurasyid, Martina, Munroe, Patricia B, Neville, Matt J, Nielsen, Jonas B, Nielsen, Sune F, Nordestgaard, Børge G, Ordovas, Jose M, Mehran, Roxana, O'Donnell, Christoper J, Orho-Melander, Marju, Molony, Cliona M, Muntendam, Pieter, Padmanabhan, Sandosh, Palmer, Colin N A, Pasko, Dorota, Patel, Aniruddh P, Pedersen, Oluf, Perola, Markus, Peters, Annette, Pisinger, Charlotta, Pistis, Giorgio, Polasek, Ozren, Poulter, Neil, Psaty, Bruce M, Rader, Daniel J, Rasheed, Asif, Rauramaa, Rainer, Reilly, Dermot F, Reiner, Alex P, Renström, Frida, Rich, Stephen S, Ridker, Paul M, Rioux, John D, Robertson, Neil R, Roden, Dan M, Rotter, Jerome I, Rudan, Igor, Salomaa, Veikko, Samani, Nilesh J, Sanna, Serena, Sattar, Naveed, Schmidt, Ellen M, Scott, Robert A, Sever, Peter, Sevilla, Raquel S, Shaffer, Christian M, Sim, Xueling, Sivapalaratnam, Suthesh, Small, Kerrin S, Smith, Albert V, Smith, Blair H, Somayajula, Sangeetha, Southam, Lorraine, Spector, Timothy D, Speliotes, Elizabeth K, Starr, John M, Stirrups, Kathleen E, Stitziel, Nathan, Strauch, Konstantin, Stringham, Heather M, Surendran, Praveen, Tada, Hayato, Tall, Alan R, Tang, Hua, Tardif, Jean-Claude, Taylor, Kent D, Trompet, Stella, Tsao, Philip S, Tuomilehto, Jaakko, Tybjaerg-Hansen, Anne, van Zuydam, Natalie R, Varbo, Anette, Varga, Tibor V, Virtamo, Jarmo, Waldenberger, Melanie, Wang, Nan, Wareham, Nick J, Warren, Helen R, Weeke, Peter E, Weinstock, Joshua, Wessel, Jennifer, Wilson, James G, Wilson, Peter W F, Xu, Ming, Yaghootkar, Hanieh, Young, Robin, Zeggini, Eleftheria, Zhang, He, Zheng, Neil S, Zhang, Weihua, Zhang, Yan, Zhou, Wei, Zhou, Yanhua, Zoledziewska, Magdalena, Howson, Joanna M M, Danesh, John, McCarthy, Mark I, Cowan, Chad A, Abecasis, Goncalo, Deloukas, Panos, Musunuru, Kiran, Willer, Cristen J, and Kathiresan, Sekar

Abstract

We screened variants on an exome-focused genotyping array in >300,000 participants (replication in >280,000 participants) and identified 444 independent variants in 250 loci significantly associated with total cholesterol (TC), high-density-lipoprotein cholesterol (HDL-C), low-density-lipoprotein cholesterol (LDL-C), and/or triglycerides (TG). At two loci (JAK2 and A1CF), experimental analysis in mice showed lipid changes consistent with the human data. We also found that: (i) beta-thalassemia trait carriers displayed lower TC and were protected from coronary artery disease (CAD); (ii) excluding the CETP locus, there was not a predictable relationship between plasma HDL-C and risk for age-related macular degeneration; (iii) only some mechanisms of lowering LDL-C appeared to increase risk for type 2 diabetes (T2D); and (iv) TG-lowering alleles involved in hepatic production of TG-rich lipoproteins (TM6SF2 and PNPLA3) tracked with higher liver fat, higher risk for T2D, and lower risk for CAD, whereas TG-lowering alleles involved in peripheral lipolysis (LPL and ANGPTL4) had no effect on liver fat but decreased risks for both T2D and CAD.

Published
2017
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11. Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension

Author

Surendran, Praveen, Drenos, Fotios, Young, Robin, Warren, Helen, Cook, James P, Manning, Alisa K, Grarup, Niels, Sim, Xueling, Barnes, Daniel R, Witkowska, Kate, Staley, James R, Tragante, Vinicius, Tukiainen, Taru, Yaghootkar, Hanieh, Masca, Nicholas, Freitag, Daniel F, Ferreira, Teresa, Giannakopoulou, Olga, Tinker, Andrew, Harakalova, Magdalena, Mihailov, Evelin, Liu, Chunyu, Kraja, Aldi T, Nielsen, Sune Fallgaard, Rasheed, Asif, Samuel, Maria, Zhao, Wei, Bonnycastle, Lori L, Jackson, Anne U, Narisu, Narisu, Swift, Amy J, Southam, Lorraine, Marten, Jonathan, Huyghe, Jeroen R, Stančáková, Alena, Fava, Cristiano, Ohlsson, Therese, Matchan, Angela, Stirrups, Kathleen E, Bork-Jensen, Jette, Gjesing, Anette P, Kontto, Jukka, Perola, Markus, Shaw-Hawkins, Susan, Havulinna, Aki S, Zhang, He, Donnelly, Louise A, Groves, Christopher J, Rayner, N William, Neville, Matt J, Robertson, Neil R, Yiorkas, Andrianos M, Herzig, Karl-Heinz, Kajantie, Eero, Zhang, Weihua, Willems, Sara M, Lannfelt, Lars, Malerba, Giovanni, Soranzo, Nicole, Trabetti, Elisabetta, Verweij, Niek, Evangelou, Evangelos, Moayyeri, Alireza, Vergnaud, Anne-Claire, Nelson, Christopher P, Poveda, Alaitz, Varga, Tibor V, Caslake, Muriel, de Craen, Anton J M, Trompet, Stella, Luan, Jian’an, Scott, Robert A, Harris, Sarah E, Liewald, David C M, Marioni, Riccardo, Menni, Cristina, Farmaki, Aliki-Eleni, Hallmans, Göran, Renström, Frida, Huffman, Jennifer E, Hassinen, Maija, Burgess, Stephen, Vasan, Ramachandran S, Felix, Janine F, Uria-Nickelsen, Maria, Malarstig, Anders, Reilly, Dermot F, Hoek, Maarten, Vogt, Thomas F, Lin, Honghuang, Lieb, Wolfgang, Traylor, Matthew, Markus, Hugh S, Highland, Heather M, Justice, Anne E, Marouli, Eirini, Lindström, Jaana, Uusitupa, Matti, Komulainen, Pirjo, Lakka, Timo A, Rauramaa, Rainer, Polasek, Ozren, Rudan, Igor, Rolandsson, Olov, Franks, Paul W, Dedoussis, George, Spector, Timothy D, Jousilahti, Pekka, Männistö, Satu, Deary, Ian J, Starr, John M, Langenberg, Claudia, Wareham, Nick J, Brown, Morris J, Dominiczak, Anna F, Connell, John M, Jukema, J Wouter, Sattar, Naveed, Ford, Ian, Packard, Chris J, Esko, Tõnu, Mägi, Reedik, Metspalu, Andres, de Boer, Rudolf A, van der Meer, Peter, van der Harst, Pim, Gambaro, Giovanni, Ingelsson, Erik, Lind, Lars, de Bakker, Paul I W, Numans, Mattijs E, Brandslund, Ivan, Christensen, Cramer, Petersen, Eva R B, Korpi-Hyövälti, Eeva, Oksa, Heikki, Chambers, John C, Kooner, Jaspal S, Blakemore, Alexandra I F, Franks, Steve, Jarvelin, Marjo-Riitta, Husemoen, Lise L, Linneberg, Allan, Skaaby, Tea, Thuesen, Betina, Karpe, Fredrik, Tuomilehto, Jaakko, Doney, Alex S F, Morris, Andrew D, Palmer, Colin N A, Holmen, Oddgeir Lingaas, Hveem, Kristian, Willer, Cristen J, Tuomi, Tiinamaija, Groop, Leif, Käräjämäki, AnneMari, Palotie, Aarno, Ripatti, Samuli, Salomaa, Veikko, Alam, Dewan S, Majumder, Abdulla al Shafi, Di Angelantonio, Emanuele, Chowdhury, Rajiv, McCarthy, Mark I, Poulter, Neil, Stanton, Alice V, Sever, Peter, Amouyel, Philippe, Arveiler, Dominique, Blankenberg, Stefan, Ferrières, Jean, Kee, Frank, Kuulasmaa, Kari, Müller-Nurasyid, Martina, Veronesi, Giovanni, Virtamo, Jarmo, Deloukas, Panos, Elliott, Paul, Zeggini, Eleftheria, Kathiresan, Sekar, Melander, Olle, Kuusisto, Johanna, Laakso, Markku, Padmanabhan, Sandosh, Porteous, David J, Hayward, Caroline, Scotland, Generation, Collins, Francis S, Mohlke, Karen L, Hansen, Torben, Pedersen, Oluf, Boehnke, Michael, Stringham, Heather M, Frossard, Philippe, Newton-Cheh, Christopher, Tobin, Martin D, Nordestgaard, Børge Grønne, Caulfield, Mark J, Mahajan, Anubha, Morris, Andrew P, Tomaszewski, Maciej, Samani, Nilesh J, Saleheen, Danish, Asselbergs, Folkert W, Lindgren, Cecilia M, Danesh, John, Wain, Louise V, Butterworth, Adam S, Howson, Joanna M M, and Munroe, Patricia B

Abstract

High blood pressure is a major risk factor for cardiovascular disease and premature death. However, there is limited knowledge on specific causal genes and pathways. To better understand the genetics of blood pressure, we genotyped 242,296 rare, low-frequency and common genetic variants in up to 192,763 individuals and used ∼155,063 samples for independent replication. We identified 30 new blood pressure– or hypertension-associated genetic regions in the general population, including 3 rare missense variants in RBM47, COL21A1 and RRAS with larger effects (>1.5 mm Hg/allele) than common variants. Multiple rare nonsense and missense variant associations were found in A2ML1, and a low-frequency nonsense variant in ENPEP was identified. Our data extend the spectrum of allelic variation underlying blood pressure traits and hypertension, provide new insights into the pathophysiology of hypertension and indicate new targets for clinical intervention.

Published
2016
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12. Identification and mutation analysis of the complete gene for Chediak–Higashi syndrome

Author

Nagle, Deborah L., Karim, Mohammad A., Woolf, Elizabeth A., Holmgren, Lisa, Bork, Peer, Misumi, Donald J., McGrail, Sonja H., Dussault, Barry J., Perou, Charles M., Boissy, Raymond E., Duyk, Geoffrey M., Spritz, Richard A., and Moore, Karen J.

Abstract

Chediak-Higashi syndrome (CHS) is a rare, autosomal recessive disorder characterized by hypopigmentation, severe immunologic deficiency with neutropenia and lack of natural killer (NK) cells, a bleeding tendency and neurologic abnormalities1–4. Most patients die in childhood. The CHS hallmark is the occurrence of giant inclusion bodies and organelles in a variety of cell types, and protein sorting defects into these organelles5–8. Similar abnormalities occur in the beige mouse6,7,9–13, the proposed model for human CHS. Two groups have recently reported the identification of the beige gene14,15, however the two cDNAs were not at all similar. Here we describe the sequence of a human cDNA homologous to mouse beige, identify pathologic mutations and clarify the discrepancies of the previous reports. Analysis of the CHS polypeptide demonstrates that its modular architecture is similar to the yeast vacuolar sorting protein, VPS15.

Published
1996
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13. Molecular modelling of the Norrie disease protein predicts a cystine knot growth factor tertiary structure

Author

Meitinger, Thomas, Meindl, Alfons, Bork, Peer, Rost, Burkhart, Sander, Chris, Haasemann, Martina, and Murken, Jan

Abstract

The X–lined gene for Norrie disease, which is characterized by blindness, deafness and mental retardation has been cloned recently. This gene has been thought to code for a putative extracellular factor; its predicted amino acid sequence is homologous to the C–terminal domain of diverse extracellular proteins. Sequence pattern searches and three–dimensional modelling now suggest that the Norrie disease protein (NDP) has a tertiary structure similar to that of transforming growth factor β (TGFβ). Our model identifies NDP as a member of an emerging family of growth factors containing a cystine knot motif, with direct implications for the physiological role of NDP. The model also sheds light on sequence related domains such as the C–terminal domain of mucins and of von Willebrand factor.

Published
1993
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14. Predicting functions from protein sequences—where are the bottlenecks?

Author

Bork, Peer and Koonin, Eugene V.

Abstract

The exponential growth of sequence data does not necessarily lead to an increase in knowledge about the functions of genes and their products. Prediction of function using comparative sequence analysis is extremely powerful but, if not performed appropriately, may also lead to the creation and propagation of assignment errors. While current homology detection methods can cope with the data flow, the identification, verification and annotation of functional features need to be drastically improved.

Published
1998
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15. Publisher Correction: Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

Author

Surendran, Praveen, Feofanova, Elena V., Lahrouchi, Najim, Ntalla, Ioanna, Karthikeyan, Savita, Cook, James, Chen, Lingyan, Mifsud, Borbala, Yao, Chen, Kraja, Aldi T., Cartwright, James H., Hellwege, Jacklyn N., Giri, Ayush, Tragante, Vinicius, Thorleifsson, Gudmar, Liu, Dajiang J., Prins, Bram P., Stewart, Isobel D., Cabrera, Claudia P., Eales, James M., Akbarov, Artur, Auer, Paul L., Bielak, Lawrence F., Bis, Joshua C., Braithwaite, Vickie S., Brody, Jennifer A., Daw, E. Warwick, Warren, Helen R., Drenos, Fotios, Nielsen, Sune Fallgaard, Faul, Jessica D., Fauman, Eric B., Fava, Cristiano, Ferreira, Teresa, Foley, Christopher N., Franceschini, Nora, Gao, He, Giannakopoulou, Olga, Giulianini, Franco, Gudbjartsson, Daniel F., Guo, Xiuqing, Harris, Sarah E., Havulinna, Aki S., Helgadottir, Anna, Huffman, Jennifer E., Hwang, Shih-Jen, Kanoni, Stavroula, Kontto, Jukka, Larson, Martin G., Li-Gao, Ruifang, Lindström, Jaana, Lotta, Luca A., Lu, Yingchang, Luan, Jian’an, Mahajan, Anubha, Malerba, Giovanni, Masca, Nicholas G. D., Mei, Hao, Menni, Cristina, Mook-Kanamori, Dennis O., Mosen-Ansorena, David, Müller-Nurasyid, Martina, Paré, Guillaume, Paul, Dirk S., Perola, Markus, Poveda, Alaitz, Rauramaa, Rainer, Richard, Melissa, Richardson, Tom G., Sepúlveda, Nuno, Sim, Xueling, Smith, Albert V., Smith, Jennifer A., Staley, James R., Stanáková, Alena, Sulem, Patrick, Thériault, Sébastien, Thorsteinsdottir, Unnur, Trompet, Stella, Varga, Tibor V., Velez Edwards, Digna R., Veronesi, Giovanni, Weiss, Stefan, Willems, Sara M., Yao, Jie, Young, Robin, Yu, Bing, Zhang, Weihua, Zhao, Jing-Hua, Zhao, Wei, Zhao, Wei, Evangelou, Evangelos, Aeschbacher, Stefanie, Asllanaj, Eralda, Blankenberg, Stefan, Bonnycastle, Lori L., Bork-Jensen, Jette, Brandslund, Ivan, Braund, Peter S., Burgess, Stephen, Cho, Kelly, Christensen, Cramer, Connell, John, Mutsert, Renée de, Dominiczak, Anna F., Dörr, Marcus, Eiriksdottir, Gudny, Farmaki, Aliki-Eleni, Gaziano, J. Michael, Grarup, Niels, Grove, Megan L., Hallmans, Göran, Hansen, Torben, Have, Christian T., Heiss, Gerardo, Jørgensen, Marit E., Jousilahti, Pekka, Kajantie, Eero, Kamat, Mihir, Käräjämäki, AnneMari, Karpe, Fredrik, Koistinen, Heikki A., Kovesdy, Csaba P., Kuulasmaa, Kari, Laatikainen, Tiina, Lannfelt, Lars, Lee, I-Te, Lee, Wen-Jane, Linneberg, Allan, Martin, Lisa W., Moitry, Marie, Nadkarni, Girish, Neville, Matt J., Palmer, Colin N. A., Papanicolaou, George J., Pedersen, Oluf, Peters, James, Poulter, Neil, Rasheed, Asif, Rasmussen, Katrine L., Rayner, N. William, Mägi, Reedik, Renström, Frida, Rettig, Rainer, Rossouw, Jacques, Schreiner, Pamela J., Sever, Peter S., Sigurdsson, Emil L., Skaaby, Tea, Sun, Yan V., Sundstrom, Johan, Thorgeirsson, Gudmundur, Esko, Tõnu, Trabetti, Elisabetta, Tsao, Philip S., Tuomi, Tiinamaija, Turner, Stephen T., Tzoulaki, Ioanna, Vaartjes, Ilonca, Vergnaud, Anne-Claire, Willer, Cristen J., Wilson, Peter W. F., Witte, Daniel R., Yonova-Doing, Ekaterina, Zhang, He, Aliya, Naheed, Almgren, Peter, Amouyel, Philippe, Asselbergs, Folkert W., Barnes, Michael R., Blakemore, Alexandra I., Boehnke, Michael, Bots, Michiel L., Bottinger, Erwin P., Buring, Julie E., Chambers, John C., Chen, Yii-Der Ida, Chowdhury, Rajiv, Conen, David, Correa, Adolfo, Davey Smith, George, Boer, Rudolf A. de, Deary, Ian J., Dedoussis, George, Deloukas, Panos, Di Angelantonio, Emanuele, Elliott, Paul, Felix, Stephan B., Ferrières, Jean, Ford, Ian, Fornage, Myriam, Franks, Paul W., Franks, Stephen, Frossard, Philippe, Gambaro, Giovanni, Gaunt, Tom R., Groop, Leif, Gudnason, Vilmundur, Harris, Tamara B., Hayward, Caroline, Hennig, Branwen J., Herzig, Karl-Heinz, Ingelsson, Erik, Tuomilehto, Jaakko, Järvelin, Marjo-Riitta, Jukema, J. Wouter, Kardia, Sharon L. R., Kee, Frank, Kooner, Jaspal S., Kooperberg, Charles, Launer, Lenore J., Lind, Lars, Loos, Ruth J. F., Majumder, Abdulla al Shafi., Laakso, Markku, McCarthy, Mark I., Melander, Olle, Mohlke, Karen L., Murray, Alison D., Nordestgaard, Børge Grønne, Orho-Melander, Marju, Packard, Chris J., Padmanabhan, Sandosh, Palmas, Walter, Polasek, Ozren, Porteous, David J., Prentice, Andrew M., Province, Michael A., Relton, Caroline L., Rice, Kenneth, Ridker, Paul M., Rolandsson, Olov, Rosendaal, Frits R., Rotter, Jerome I., Rudan, Igor, Salomaa, Veikko, Samani, Nilesh J., Sattar, Naveed, Sheu, Wayne H.-H., Smith, Blair H., Soranzo, Nicole, Spector, Timothy D., Starr, John M., Sebert, Sylvain, Taylor, Kent D., Lakka, Timo A., Timpson, Nicholas J., Tobin, Martin D., van der Harst, Pim, van der Meer, Peter, Ramachandran, Vasan S., Verweij, Niek, Virtamo, Jarmo, Völker, Uwe, Weir, David R., Zeggini, Eleftheria, Charchar, Fadi J., Wareham, Nicholas J., Langenberg, Claudia, Tomaszewski, Maciej, Butterworth, Adam S., Caulfield, Mark J., Danesh, John, Edwards, Todd L., Holm, Hilma, Hung, Adriana M., Lindgren, Cecilia M., Liu, Chunyu, Manning, Alisa K., Morris, Andrew P., Morrison, Alanna C., O’Donnell, Christopher J., Psaty, Bruce M., Saleheen, Danish, Stefansson, Kari, Boerwinkle, Eric, Chasman, Daniel I., Levy, Daniel, Newton-Cheh, Christopher, Munroe, Patricia B., and Howson, Joanna M. M.

Abstract

A Correction to this paper has been published: https://doi.org/10.1038/s41588-021-00832-z.

Published
2021
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19. Bioinformatics in the post-sequence era.

Author

Kanehisa M and Bork P

Subjects
Databases, Genetic, Genomics history, Genomics trends, History, 20th Century, History, 21st Century, Computational Biology history, Computational Biology trends, Genetics history, Genetics trends
Abstract

In the past decade, bioinformatics has become an integral part of research and development in the biomedical sciences. Bioinformatics now has an essential role both in deciphering genomic, transcriptomic and proteomic data generated by high-throughput experimental technologies and in organizing information gathered from traditional biology. Sequence-based methods of analyzing individual genes or proteins have been elaborated and expanded, and methods have been developed for analyzing large numbers of genes or proteins simultaneously, such as in the identification of clusters of related genes and networks of interacting proteins. With the complete genome sequences for an increasing number of organisms at hand, bioinformatics is beginning to provide both conceptual bases and practical methods for detecting systemic functional behaviors of the cell and the organism.

Published
2003
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20. SPG20 is mutated in Troyer syndrome, an hereditary spastic paraplegia.

Author

Patel H, Cross H, Proukakis C, Hershberger R, Bork P, Ciccarelli FD, Patton MA, McKusick VA, and Crosby AH

Subjects
Adenosine Triphosphatases, Adipose Tissue metabolism, Calcium-Binding Proteins genetics, Calcium-Binding Proteins metabolism, Cell Cycle Proteins, Chromosome Mapping, Exons, Humans, Molecular Sequence Data, Polymorphism, Single-Stranded Conformational, Spastin, Chromosomes, Human, Pair 13, Mutation, Proteins genetics, Proteins metabolism, Spastic Paraplegia, Hereditary genetics
Abstract

Troyer syndrome (TRS) is an autosomal recessive complicated hereditary spastic paraplegia (HSP) that occurs with high frequency in the Old Order Amish. We report mapping of the TRS locus to chromosome 13q12.3 and identify a frameshift mutation in SPG20, encoding spartin. Comparative sequence analysis indicates that spartin shares similarity with molecules involved in endosomal trafficking and with spastin, a molecule implicated in microtubule interaction that is commonly mutated in HSP.

Published
2002
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21. Association of genes to genetically inherited diseases using data mining.

Author

Perez-Iratxeta C, Bork P, and Andrade MA

Subjects
Databases, Genetic, Genetic Markers, Genetic Predisposition to Disease, Humans, MEDLINE, Mathematics, Phenotype, Chromosome Mapping, Genetic Diseases, Inborn genetics, Genome, Human
Abstract

Although approximately one-quarter of the roughly 4,000 genetically inherited diseases currently recorded in respective databases (LocusLink, OMIM) are already linked to a region of the human genome, about 450 have no known associated gene. Finding disease-related genes requires laborious examination of hundreds of possible candidate genes (sometimes, these are not even annotated; see, for example, refs 3,4). The public availability of the human genome draft sequence has fostered new strategies to map molecular functional features of gene products to complex phenotypic descriptions, such as those of genetically inherited diseases. Owing to recent progress in the systematic annotation of genes using controlled vocabularies, we have developed a scoring system for the possible functional relationships of human genes to 455 genetically inherited diseases that have been mapped to chromosomal regions without assignment of a particular gene. In a benchmark of the system with 100 known disease-associated genes, the disease-associated gene was among the 8 best-scoring genes with a 25% chance, and among the best 30 genes with a 50% chance, showing that there is a relationship between the score of a gene and its likelihood of being associated with a particular disease. The scoring also indicates that for some diseases, the chance of identifying the underlying gene is higher.

Published
2002
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22. Alternative splicing and genome complexity.

Author

Brett D, Pospisil H, Valcárcel J, Reich J, and Bork P

Subjects
Animals, Cattle, Humans, Mice, RNA, Messenger genetics, Rats, Alternative Splicing, Expressed Sequence Tags, Genetic Variation genetics, Genome
Abstract

Alternative splicing of mRNA allows many gene products with different functions to be produced from a single coding sequence. It has recently been proposed as a mechanism by which higher-order diversity is generated. Here we show, using large-scale expressed sequence tag (EST) analysis, that among seven different eukaryotes the amount of alternative splicing is comparable, with no large differences between humans and other animals.

Published
2002
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23. More than 1,000 putative new human signalling proteins revealed by EST data mining.

Author

Schultz J, Doerks T, Ponting CP, Copley RR, and Bork P

Subjects
Amino Acid Sequence, Automation, Catalytic Domain, Cloning, Molecular methods, Databases, Factual, Genome, Human, Humans, Internet, Molecular Sequence Data, Monomeric GTP-Binding Proteins chemistry, Monomeric GTP-Binding Proteins genetics, Monomeric GTP-Binding Proteins metabolism, Protein Structure, Tertiary, Proteins chemistry, Sequence Alignment, Sequence Homology, Amino Acid, Software, Computational Biology methods, Expressed Sequence Tags, Proteins genetics, Proteins metabolism, Signal Transduction
Abstract

Cloning procedures aided by homology searches of EST databases have accelerated the pace of discovery of new genes, but EST database searching remains an involved and onerous task. More than 1.6 million human EST sequences have been deposited in public databases, making it difficult to identify ESTs that represent new genes. Compounding the problems of scale are difficulties in detection associated with a high sequencing error rate and low sequence similarity between distant homologues. We have developed a new method, coupling BLAST-based searches with a domain identification protocol, that filters candidate homologues. Application of this method in a large-scale analysis of 100 signalling domain families has led to the identification of ESTs representing more than 1,000 novel human signalling genes. The 4,206 publicly available ESTs representing these genes are a valuable resource for rapid cloning of novel human signalling proteins. For example, we were able to identify ESTs of at least 106 new small GTPases, of which 6 are likely to belong to new subfamilies. In some cases, further analyses of genomic DNA led to the discovery of previously unidentified full-length protein sequences. This is exemplified by the in silico cloning (prediction of a gene product sequence using only genomic and EST sequence data) of a new type of GTPase with two catalytic domains.

Published
2000
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24. Genome phylogeny based on gene content.

Author

Snel B, Bork P, and Huynen MA

Subjects
Archaea classification, Archaea genetics, Genes, Archaeal, Phylogeny, Bacteria classification, Bacteria genetics, Genome, Bacterial
Abstract

Species phylogenies derived from comparisons of single genes are rarely consistent with each other, due to horizontal gene transfer, unrecognized paralogy and highly variable rates of evolution. The advent of completely sequenced genomes allows the construction of a phylogeny that is less sensitive to such inconsistencies and more representative of whole-genomes than are single-gene trees. Here, we present a distance-based phylogeny constructed on the basis of gene content, rather than on sequence identity, of 13 completely sequenced genomes of unicellular species. The similarity between two species is defined as the number of genes that they have in common divided by their total number of genes. In this type of phylogenetic analysis, evolutionary distance can be interpreted in terms of evolutionary events such as the acquisition and loss of genes, whereas the underlying properties (the gene content) can be interpreted in terms of function. As such, it takes a position intermediate to phylogenies based on single genes and phylogenies based on phenotypic characteristics. Although our comprehensive genome phylogeny is independent of phylogenies based on the level of sequence identity of individual genes, it correlates with the standard reference of prokarytic phylogeny based on sequence similarity of 16s rRNA. Thus, shared gene content between genomes is quantitatively determined by phylogeny, rather than by phenotype, and horizontal gene transfer has only a limited role in determining the gene content of genomes.

Published
1999
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25. BRCA1 protein products ... Functional motifs...

Author

Koonin EV, Altschul SF, and Bork P

Subjects
Amino Acid Sequence, Animals, BRCA1 Protein, Carrier Proteins chemistry, Conserved Sequence, Fungal Proteins chemistry, Humans, Mice, Molecular Sequence Data, Neoplasm Proteins physiology, Sequence Alignment, Software, Transcription Factors physiology, Tumor Suppressor p53-Binding Protein 1, Cell Cycle Proteins, Intracellular Signaling Peptides and Proteins, Neoplasm Proteins chemistry, Phosphoproteins, Sequence Homology, Amino Acid, Transcription Factors chemistry
Published
1996
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