Search

Your search keyword '"Atzmon, Gil"' showing total 6 results
Start Over Author "Atzmon, Gil" Language undetermined
6 results on '"Atzmon, Gil"'

1. Genetic signature of human longevity in PKC and NF-κB signaling

Author

Ryu, Seungjin, Han, Jeehae, Norden-Krichmar, Trina M, Zhang, Quanwei, Lee, Seunggeun, Zhang, Zhengdong, Atzmon, Gil, Niedernhofer, Laura J, Robbins, Paul D, Barzilai, Nir, Schork, Nicholas J, and Suh, Yousin

Subjects
genetic variant, longevity, NF-kappa B, PKC, Biological Sciences, centenarian, rare variant, Medical and Health Sciences, NF-κB, Developmental Biology
Abstract

Gene variants associated with longevity are also associated with protection against cognitive decline, dementia and Alzheimer's disease, suggesting that common physiologic pathways act at the interface of longevity and cognitive function. To test the hypothesis that variants in genes implicated in cognitive function may promote exceptional longevity, we performed a comprehensive 3-stage study to identify functional longevity-associated variants in ~700 candidate genes in up to 450 centenarians and 500 controls by target capture sequencing analysis. We found an enrichment of longevity-associated genes in the nPKC and NF-κB signaling pathways by gene-based association analyses. Functional analysis of the top three gene variants (NFKBIA, CLU, PRKCH) suggests that non-coding variants modulate the expression of cognate genes, thereby reducing signaling through the nPKC and NF-κB. This matches genetic studies in multiple model organisms, suggesting that the evolutionary conservation of reduced PKC and NF-κB signaling pathways in exceptional longevity may include humans.

Published
2021

2. Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes

Author

Goodrich, Julia K, Singer-Berk, Moriel, Son, Rachel, Sveden, Abigail, Wood, Jordan, England, Eleina, Cole, Joanne B, Weisburd, Ben, Watts, Nick, Caulkins, Lizz, Dornbos, Peter, Koesterer, Ryan, Zappala, Zachary, Zhang, Haichen, Maloney, Kristin A, Dahl, Andy, Aguilar-Salinas, Carlos A, Atzmon, Gil, Barajas-Olmos, Francisco, Barzilai, Nir, Blangero, John, Boerwinkle, Eric, Bonnycastle, Lori L, Bottinger, Erwin, Bowden, Donald W, Centeno-Cruz, Federico, Chambers, John C, Chami, Nathalie, Chan, Edmund, Chan, Juliana, Cheng, Ching-Yu, Cho, Yoon Shin, Contreras-Cubas, Cecilia, Córdova, Emilio, Correa, Adolfo, DeFronzo, Ralph A, Duggirala, Ravindranath, Dupuis, Josée, Garay-Sevilla, Ma Eugenia, García-Ortiz, Humberto, Gieger, Christian, Glaser, Benjamin, González-Villalpando, Clicerio, Gonzalez, Ma Elena, Grarup, Niels, Groop, Leif, Gross, Myron, Haiman, Christopher, Han, Sohee, Hanis, Craig L, Hansen, Torben, Heard-Costa, Nancy L, Henderson, Brian E, Hernandez, Juan Manuel Malacara, Hwang, Mi Yeong, Islas-Andrade, Sergio, Jørgensen, Marit E, Kang, Hyun Min, Kim, Bong-Jo, Kim, Young Jin, Koistinen, Heikki A, Kooner, Jaspal Singh, Kuusisto, Johanna, Kwak, Soo-Heon, Laakso, Markku, Lange, Leslie, Lee, Jong-Young, Lee, Juyoung, Lehman, Donna M, Linneberg, Allan, Liu, Jianjun, Loos, Ruth JF, Lyssenko, Valeriya, Ma, Ronald CW, Martínez-Hernández, Angélica, Meigs, James B, Meitinger, Thomas, Mendoza-Caamal, Elvia, Mohlke, Karen L, Morris, Andrew D, Morrison, Alanna C, Ng, Maggie CY, Nilsson, Peter M, O'Donnell, Christopher J, Orozco, Lorena, Palmer, Colin NA, Park, Kyong Soo, Post, Wendy S, Pedersen, Oluf, Preuss, Michael, Psaty, Bruce M, Reiner, Alexander P, Revilla-Monsalve, Cristina, Rich, Stephen S, Rotter, Jerome I, Saleheen, Danish, Schurmann, Claudia, Sim, Xueling, Sladek, Rob, and Small, Kerrin S

Subjects
Adult, Multifactorial Inheritance, Genotype, Prevention, Human Genome, Diabetes, Population, Biological Variation, Penetrance, Risk Assessment, Good Health and Well Being, Genetics, AMP-T2D-GENES Consortia, Diabetes Mellitus, 2.1 Biological and endogenous factors, Humans, Genetic Predisposition to Disease, Exome, Genetic Testing, Aetiology, Metabolic and endocrine, Type 2, Biomarkers, Dyslipidemias
Abstract

Hundreds of thousands of genetic variants have been reported to cause severe monogenic diseases, but the probability that a variant carrier develops the disease (termed penetrance) is unknown for virtually all of them. Additionally, the clinical utility of common polygenetic variation remains uncertain. Using exome sequencing from 77,184 adult individuals (38,618 multi-ancestral individuals from a type 2 diabetes case-control study and 38,566 participants from the UK Biobank, for whom genotype array data were also available), we apply clinical standard-of-care gene variant curation for eight monogenic metabolic conditions. Rare variants causing monogenic diabetes and dyslipidemias display effect sizes significantly larger than the top 1% of the corresponding polygenic scores. Nevertheless, penetrance estimates for monogenic variant carriers average 60% or lower for most conditions. We assess epidemiologic and genetic factors contributing to risk prediction in monogenic variant carriers, demonstrating that inclusion of polygenic variation significantly improves biomarker estimation for two monogenic dyslipidemias.

Published
2021

3. Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls

Author

Flannick, Jason, Mercader, Josep M, Fuchsberger, Christian, Udler, Miriam S, Mahajan, Anubha, Wessel, Jennifer, Teslovich, Tanya M, Caulkins, Lizz, Koesterer, Ryan, Barajas-Olmos, Francisco, Blackwell, Thomas W, Boerwinkle, Eric, Brody, Jennifer A, Centeno-Cruz, Federico, Chen, Ling, Chen, Siying, Contreras-Cubas, Cecilia, Córdova, Emilio, Correa, Adolfo, Cortes, Maria, DeFronzo, Ralph A, Dolan, Lawrence, Drews, Kimberly L, Elliott, Amanda, Floyd, James S, Gabriel, Stacey, Garay-Sevilla, Maria Eugenia, García-Ortiz, Humberto, Gross, Myron, Han, Sohee, Heard-Costa, Nancy L, Jackson, Anne U, Jørgensen, Marit E, Kang, Hyun Min, Kelsey, Megan, Kim, Bong-Jo, Koistinen, Heikki A, Kuusisto, Johanna, Leader, Joseph B, Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Lyssenko, Valeriya, Manning, Alisa K, Marcketta, Anthony, Malacara-Hernandez, Juan Manuel, Martínez-Hernández, Angélica, Matsuo, Karen, Mayer-Davis, Elizabeth, Mendoza-Caamal, Elvia, Mohlke, Karen L, Morrison, Alanna C, Ndungu, Anne, Ng, Maggie CY, O'Dushlaine, Colm, Payne, Anthony J, Pihoker, Catherine, Broad Genomics Platform, Post, Wendy S, Preuss, Michael, Psaty, Bruce M, Vasan, Ramachandran S, Rayner, N William, Reiner, Alexander P, Revilla-Monsalve, Cristina, Robertson, Neil R, Santoro, Nicola, Schurmann, Claudia, So, Wing Yee, Soberón, Xavier, Stringham, Heather M, Strom, Tim M, Tam, Claudia HT, Thameem, Farook, Tomlinson, Brian, Torres, Jason M, Tracy, Russell P, van Dam, Rob M, Vujkovic, Marijana, Wang, Shuai, Welch, Ryan P, Witte, Daniel R, Wong, Tien-Yin, Atzmon, Gil, Barzilai, Nir, Blangero, John, Bonnycastle, Lori L, Bowden, Donald W, Chambers, John C, Chan, Edmund, Cheng, Ching-Yu, Cho, Yoon Shin, Collins, Francis S, de Vries, Paul S, Duggirala, Ravindranath, Glaser, Benjamin, Gonzalez, Clicerio, Gonzalez, Ma Elena, Groop, Leif, and Kooner, Jaspal Singh

Subjects
Male, General Science & Technology, Knockout, LuCamp, Whole Exome Sequencing, Decision Support Techniques, Mice, T2D-GENES, Gene Frequency, Exome Sequencing, Diabetes Mellitus, Genetics, Animals, Humans, 2.1 Biological and endogenous factors, AMP-T2D-GENES, Exome, Aetiology, ESP, Metabolic and endocrine, Broad Genomics Platform, Prevention, Diabetes, Human Genome, ProDiGY, Case-Control Studies, DiscovEHR Collaboration, SIGMA-T2D, Female, CHARGE, Type 2, GoT2D, Genome-Wide Association Study, Biotechnology
Abstract

Protein-coding genetic variants that strongly affect disease risk can yield relevant clues to disease pathogenesis. Here we report exome-sequencing analyses of 20,791individuals with type 2 diabetes (T2D) and 24,440non-diabetic control participants from 5ancestries. We identify gene-level associations of rare variants (with minor allele frequencies of less than 0.5%) in 4genes at exome-wide significance, including a series of more than 30SLC30A8 alleles that conveys protection against T2D, and in 12gene sets, including those corresponding to T2D drug targets (P=6.1×10-3) and candidate genes from knockout mice (P=5.2×10-3). Within our study, the strongest T2D gene-level signals for rare variants explain at most 25% of the heritability of the strongest common single-variant signals, and the gene-level effect sizes of the rare variants that we observed in established T2D drug targets will require 75,000-185,000sequenced cases to achieve exome-wide significance. We propose a method to interpret these modest rare-variant associations and to incorporate these associations into future target or gene prioritization efforts.

Published
2019

4. Interrogating the Genetic Determinants of Tourette's Syndrome and Other Tic Disorders Through Genome-Wide Association Studies

Author

Yu, Dongmei, Sul, Jae Hoon, Tsetsos, Fotis, Nawaz, Muhammad S, Huang, Alden Y, Zelaya, Ivette, Illmann, Cornelia, Osiecki, Lisa, Darrow, Sabrina M, Hirschtritt, Matthew E, Greenberg, Erica, Muller-Vahl, Kirsten R, Stuhrmann, Manfred, Dion, Yves, Rouleau, Guy, Aschauer, Harald, Stamenkovic, Mara, Schlögelhofer, Monika, Sandor, Paul, Barr, Cathy L, Grados, Marco, Singer, Harvey S, Nöthen, Markus M, Hebebrand, Johannes, Hinney, Anke, King, Robert A, Fernandez, Thomas V, Barta, Csaba, Tarnok, Zsanett, Nagy, Peter, Depienne, Christel, Worbe, Yulia, Hartmann, Andreas, Budman, Cathy L, Rizzo, Renata, Lyon, Gholson J, McMahon, William M, Batterson, James R, Cath, Danielle C, Malaty, Irene A, Okun, Michael S, Berlin, Cheston, Woods, Douglas W, Lee, Paul C, Jankovic, Joseph, Robertson, Mary M, Gilbert, Donald L, Brown, Lawrence W, Coffey, Barbara J, Dietrich, Andrea, Hoekstra, Pieter J, Kuperman, Samuel, Zinner, Samuel H, Luðvigsson, Pétur, Sæmundsen, Evald, Thorarensen, Ólafur, Atzmon, Gil, Barzilai, Nir, Wagner, Michael, Moessner, Rainald, Ophoff, Roel, Pato, Carlos N, Pato, Michele T, Knowles, James A, Roffman, Joshua L, Smoller, Jordan W, Buckner, Randy L, Willsey, A Jeremy, Tischfield, Jay A, Heiman, Gary A, Stefansson, Hreinn, Stefansson, Kári, Posthuma, Danielle, Cox, Nancy J, Pauls, David L, Freimer, Nelson B, Neale, Benjamin M, Davis, Lea K, Paschou, Peristera, Coppola, Giovanni, Mathews, Carol A, Scharf, Jeremiah M, and Tourette Association of America International Consortium for Genetics, the Gilles de la Tourette GWAS Replication Initiative, the Tourette International Collaborative Genetics Study, and the Psychiatric Genomics Consortium Tourette Syndrome Working Group

Subjects
Multifactorial Inheritance, the Gilles de la Tourette GWAS Replication Initiative, Neurodegenerative, Severity of Illness Index, Medical and Health Sciences, Risk Factors, Genetics, Humans, 2.1 Biological and endogenous factors, Genetic Predisposition to Disease, Polymorphism, Aetiology, Child Psychiatry, Psychiatry, Prevention, Human Genome, Psychology and Cognitive Sciences, Neurosciences, and the Psychiatric Genomics Consortium Tourette Syndrome Working Group, Single Nucleotide, Serious Mental Illness, the Tourette International Collaborative Genetics Study, Brain Disorders, Mental Health, fms-Like Tyrosine Kinase 3, Tic Disorders, Case-Control Studies, Tourette Association of America International Consortium for Genetics, Tourette Syndrome, Genome-Wide Association Study
Abstract

ObjectiveTourette's syndrome is polygenic and highly heritable. Genome-wide association study (GWAS) approaches are useful for interrogating the genetic architecture and determinants of Tourette's syndrome and other tic disorders. The authors conducted a GWAS meta-analysis and probed aggregated Tourette's syndrome polygenic risk to test whether Tourette's and related tic disorders have an underlying shared genetic etiology and whether Tourette's polygenic risk scores correlate with worst-ever tic severity and may represent a potential predictor of disease severity.MethodsGWAS meta-analysis, gene-based association, and genetic enrichment analyses were conducted in 4,819 Tourette's syndrome case subjects and 9,488 control subjects. Replication of top loci was conducted in an independent population-based sample (706 case subjects, 6,068 control subjects). Relationships between Tourette's polygenic risk scores (PRSs), other tic disorders, ascertainment, and tic severity were examined.ResultsGWAS and gene-based analyses identified one genome-wide significant locus within FLT3 on chromosome 13, rs2504235, although this association was not replicated in the population-based sample. Genetic variants spanning evolutionarily conserved regions significantly explained 92.4% of Tourette's syndrome heritability. Tourette's-associated genes were significantly preferentially expressed in dorsolateral prefrontal cortex. Tourette's PRS significantly predicted both Tourette's syndrome and tic spectrum disorders status in the population-based sample. Tourette's PRS also significantly correlated with worst-ever tic severity and was higher in case subjects with a family history of tics than in simplex case subjects.ConclusionsModulation of gene expression through noncoding variants, particularly within cortico-striatal circuits, is implicated as a fundamental mechanism in Tourette's syndrome pathogenesis. At a genetic level, tic disorders represent a continuous spectrum of disease, supporting the unification of Tourette's syndrome and other tic disorders in future diagnostic schemata. Tourette's PRSs derived from sufficiently large samples may be useful in the future for predicting conversion of transient tics to chronic tic disorders, as well as tic persistence and lifetime tic severity.

Published
2019

5. Transancestral fine-mapping of four type 2 diabetes susceptibility loci highlights potential causal regulatory mechanisms

Author

Horikoshi, Momoko, Pasquali, Lorenzo, Wiltshire, Steven, Huyghe, Jeroen R, Mahajan, Anubha, Asimit, Jennifer L, Ferreira, Teresa, Locke, Adam E, Robertson, Neil R, Wang, Xu, Sim, Xueling, Fujita, Hayato, Hara, Kazuo, Young, Robin, Zhang, Weihua, Choi, Sungkyoung, Chen, Han, Kaur, Ismeet, Takeuchi, Fumihiko, Fontanillas, Pierre, Thuillier, Dorothée, Yengo, Loic, Below, Jennifer E, Tam, Claudia HT, Wu, Ying, Abecasis, Gonçalo, Altshuler, David, Bell, Graeme I, Blangero, John, Burtt, Noél P, Duggirala, Ravindranath, Florez, Jose C, Hanis, Craig L, Seielstad, Mark, Atzmon, Gil, Chan, Juliana CN, Ma, Ronald CW, Froguel, Philippe, Wilson, James G, Bharadwaj, Dwaipayan, Dupuis, Josee, Meigs, James B, Cho, Yoon Shin, Park, Taesung, Kooner, Jaspal S, Chambers, John C, Saleheen, Danish, Kadowaki, Takashi, Tai, E Shyong, Mohlke, Karen L, Cox, Nancy J, Ferrer, Jorge, Zeggini, Eleftheria, Kato, Norihiro, Teo, Yik Ying, Boehnke, Michael, McCarthy, Mark I, Morris, Andrew P, T2D-GENES Consortium, Asimit, Jennifer [0000-0002-4857-2249], and Apollo - University of Cambridge Repository

Subjects
Male, tRNA Methyltransferases, Chromosome Mapping, RNA-Binding Proteins, Polymorphism, Single Nucleotide, Linkage Disequilibrium, White People, Black or African American, Asian People, Diabetes Mellitus, Type 2, KCNQ1 Potassium Channel, Cyclin-Dependent Kinase Inhibitor p18, Humans, Female, Genetic Predisposition to Disease, Regulatory Elements, Transcriptional, Alleles, Cyclin-Dependent Kinase Inhibitor p16, Genetic Association Studies
Abstract

To gain insight into potential regulatory mechanisms through which the effects of variants at four established type 2 diabetes (T2D) susceptibility loci (CDKAL1, CDKN2A-B, IGF2BP2 and KCNQ1) are mediated, we undertook transancestral fine-mapping in 22 086 cases and 42 539 controls of East Asian, European, South Asian, African American and Mexican American descent. Through high-density imputation and conditional analyses, we identified seven distinct association signals at these four loci, each with allelic effects on T2D susceptibility that were homogenous across ancestry groups. By leveraging differences in the structure of linkage disequilibrium between diverse populations, and increased sample size, we localised the variants most likely to drive each distinct association signal. We demonstrated that integration of these genetic fine-mapping data with genomic annotation can highlight potential causal regulatory elements in T2D-relevant tissues. These analyses provide insight into the mechanisms through which T2D association signals are mediated, and suggest future routes to understanding the biology of specific disease susceptibility loci.

Published
2016

6. Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

Author

Flannick, Jason, Fuchsberger, Christian, Mahajan, Anubha, Teslovich, Tanya M, Agarwala, Vineeta, Gaulton, Kyle J, Caulkins, Lizz, Koesterer, Ryan, Ma, Clement, Moutsianas, Loukas, McCarthy, Davis J, Rivas, Manuel A, Perry, John RB, Sim, Xueling, Blackwell, Thomas W, Robertson, Neil R, Rayner, N William, Cingolani, Pablo, Locke, Adam E, Tajes, Juan Fernandez, Highland, Heather M, Dupuis, Josee, Chines, Peter S, Lindgren, Cecilia M, Hartl, Christopher, Jackson, Anne U, Chen, Han, Huyghe, Jeroen R, Van De Bunt, Martijn, Pearson, Richard D, Kumar, Ashish, Müller-Nurasyid, Martina, Grarup, Niels, Stringham, Heather M, Gamazon, Eric R, Lee, Jaehoon, Chen, Yuhui, Scott, Robert A, Below, Jennifer E, Chen, Peng, Huang, Jinyan, Go, Min Jin, Stitzel, Michael L, Pasko, Dorota, Parker, Stephen CJ, Varga, Tibor V, Green, Todd, Beer, Nicola L, Day-Williams, Aaron G, Ferreira, Teresa, Fingerlin, Tasha, Horikoshi, Momoko, Hu, Cheng, Huh, Iksoo, Ikram, Mohammad Kamran, Kim, Bong-Jo, Kim, Yongkang, Kim, Young Jin, Kwon, Min-Seok, Lee, Juyoung, Lee, Selyeong, Lin, Keng-Han, Maxwell, Taylor J, Nagai, Yoshihiko, Wang, Xu, Welch, Ryan P, Yoon, Joon, Zhang, Weihua, Barzilai, Nir, Voight, Benjamin F, Han, Bok-Ghee, Jenkinson, Christopher P, Kuulasmaa, Teemu, Kuusisto, Johanna, Manning, Alisa, Ng, Maggie CY, Palmer, Nicholette D, Balkau, Beverley, Stančáková, Alena, Abboud, Hanna E, Boeing, Heiner, Giedraitis, Vilmantas, Prabhakaran, Dorairaj, Gottesman, Omri, Scott, James, Carey, Jason, Kwan, Phoenix, Grant, George, Smith, Joshua D, Neale, Benjamin M, Purcell, Shaun, Butterworth, Adam S, Howson, Joanna MM, Lee, Heung Man, Lu, Yingchang, Kwak, Soo-Heon, Zhao, Wei, Danesh, John, Lam, Vincent KL, Park, Kyong Soo, Saleheen, Danish, So, Wing Yee, Tam, Claudia HT, Afzal, Uzma, Aguilar, David, Arya, Rector, Aung, Tin, Chan, Edmund, Navarro, Carmen, Cheng, Ching-Yu, Palli, Domenico, Correa, Adolfo, Curran, Joanne E, Rybin, Dennis, Farook, Vidya S, Fowler, Sharon P, Freedman, Barry I, Griswold, Michael, Hale, Daniel Esten, Hicks, Pamela J, Khor, Chiea-Chuen, Kumar, Satish, Lehne, Benjamin, Thuillier, Dorothée, Lim, Wei Yen, Liu, Jianjun, Loh, Marie, Musani, Solomon K, Puppala, Sobha, Scott, William R, Yengo, Loïc, Tan, Sian-Tsung, Taylor, Herman A, Thameem, Farook, Wilson, Gregory, Wong, Tien Yin, Njølstad, Pål Rasmus, Levy, Jonathan C, Mangino, Massimo, Bonnycastle, Lori L, Schwarzmayr, Thomas, Fadista, João, Surdulescu, Gabriela L, Herder, Christian, Groves, Christopher J, Wieland, Thomas, Bork-Jensen, Jette, Brandslund, Ivan, Christensen, Cramer, Koistinen, Heikki A, Doney, Alex SF, Kinnunen, Leena, Esko, Tõnu, Farmer, Andrew J, Hakaste, Liisa, Hodgkiss, Dylan, Kravic, Jasmina, Lyssenko, Valeri, Hollensted, Mette, Jørgensen, Marit E, Jørgensen, Torben, Ladenvall, Claes, Justesen, Johanne Marie, Käräjämäki, Annemari, Kriebel, Jennifer, Rathmann, Wolfgang, Lannfelt, Lars, Lauritzen, Torsten, Narisu, Narisu, Linneberg, Allan, Melander, Olle, Milani, Lili, Neville, Matt, Orho-Melander, Marju, Qi, Lu, Qi, Qibin, Roden, Michael, Rolandsson, Olov, Swift, Amy, Rosengren, Anders H, Stirrups, Kathleen, Wood, Andrew R, Mihailov, Evelin, Blancher, Christine, Carneiro, Mauricio O, Maguire, Jared, Poplin, Ryan, Shakir, Khalid, Fennell, Timothy, DePristo, Mark, De Angelis, Martin Hrabé, Deloukas, Panos, Gjesing, Anette P, Jun, Goo, Nilsson, Peter, Murphy, Jacquelyn, Onofrio, Robert, Thorand, Barbara, Hansen, Torben, Meisinger, Christa, Hu, Frank B, Isomaa, Bo, Karpe, Fredrik, Liang, Liming, Peters, Annette, Huth, Cornelia, O'Rahilly, Stephen P, Palmer, Colin NA, Pedersen, Oluf, Rauramaa, Rainer, Tuomilehto, Jaakko, Salomaa, Veikko, Watanabe, Richard M, Syvänen, Ann-Christine, Bergman, Richard N, Bharadwaj, Dwaipayan, Bottinger, Erwin P, Cho, Yoon Shin, Chandak, Giriraj R, Chan, Juliana Cn, Chia, Kee Seng, Daly, Mark J, Ebrahim, Shah B, Langenberg, Claudia, Elliott, Paul, Jablonski, Kathleen A, Lehman, Donna M, Jia, Weiping, Ma, Ronald CW, Pollin, Toni I, Sandhu, Manjinder, Tandon, Nikhil, Froguel, Philippe, Barroso, Inês, Teo, Yik Ying, Zeggini, Eleftheria, Loos, Ruth JF, Small, Kerrin S, Ried, Janina S, DeFronzo, Ralph A, Grallert, Harald, Glaser, Benjamin, Metspalu, Andres, Wareham, Nicholas J, Walker, Mark, Banks, Eric, Gieger, Christian, Ingelsson, Erik, Im, Hae Kyung, Illig, Thomas, Franks, Paul W, Buck, Gemma, Trakalo, Joseph, Buck, David, Prokopenko, Inga, Mägi, Reedik, Lind, Lars, Farjoun, Yossi, Owen, Katharine R, Gloyn, Anna L, Strauch, Konstantin, Tuomi, Tiinamaija, Kooner, Jaspal Singh, Lee, Jong-Young, Park, Taesung, Donnelly, Peter, Morris, Andrew D, Hattersley, Andrew T, Bowden, Donald W, Collins, Francis S, Atzmon, Gil, Chambers, John C, Spector, Timothy D, Laakso, Markku, Strom, Tim M, Bell, Graeme I, Blangero, John, Duggirala, Ravindranath, Tai, E Shyong, McVean, Gilean, Hanis, Craig L, Wilson, James G, Seielstad, Mark, Frayling, Timothy M, Meigs, James B, Cox, Nancy J, Sladek, Rob, Lander, Eric S, Gabriel, Stacey, Mohlke, Karen L, Meitinger, Thomas, Groop, Leif, Abecasis, Goncalo, Scott, Laura J, Morris, Andrew P, Kang, Hyun Min, Altshuler, David, Burtt, Noël P, Florez, Jose C, Boehnke, Michael, and McCarthy, Mark I

Subjects
Diabetes Mellitus, Type 2, Genetic Variation, Humans, White People, 3. Good health
Abstract

To investigate the genetic basis of type 2 diabetes (T2D) to high resolution, the GoT2D and T2D-GENES consortia catalogued variation from whole-genome sequencing of 2,657 European individuals and exome sequencing of 12,940 individuals of multiple ancestries. Over 27M SNPs, indels, and structural variants were identified, including 99% of low-frequency (minor allele frequency [MAF] 0.1-5%) non-coding variants in the whole-genome sequenced individuals and 99.7% of low-frequency coding variants in the whole-exome sequenced individuals. Each variant was tested for association with T2D in the sequenced individuals, and, to increase power, most were tested in larger numbers of individuals (>80% of low-frequency coding variants in ~82 K Europeans via the exome chip, and ~90% of low-frequency non-coding variants in ~44 K Europeans via genotype imputation). The variants, genotypes, and association statistics from these analyses provide the largest reference to date of human genetic information relevant to T2D, for use in activities such as T2D-focused genotype imputation, functional characterization of variants or genes, and other novel analyses to detect associations between sequence variation and T2D.

Catalog

Books, media, physical & digital resources
See catalog results