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Your search keyword '"Danecek, Petr"' showing total 4 results
Start Over Author "Danecek, Petr" Topic 030104 developmental biology
4 results on '"Danecek, Petr"'

1. Narrow-sense heritability estimation of complex traits using identity-by-descent information

Author

Evans, Luke M., Tahmasbi, Rasool, Jones, Matthew, Vrieze, Scott I., Abecasis, Gonçalo R., Das, Sayantan, Bjelland, Doug W., deCandia, Teresa R., Abecasis, Gonçalo, Altshuler, David, Anderson, Carl A, Angius, Andrea, Barrett, Jeffrey C, Berndt, Sonja, Boehnke, Michael, Boomsma, Dorrett, Branham, Kari, Breen, Gerome, Brummett, Chad M, Busonero, Fabio, Campbell, Harry, Campbell, Peter, Chan, Andrew, Chen, Sai, Chew, Emily, Cocca, Massimiliano, Collins, Francis S, Corbin, Laura J, Cucca, Francesco, Danecek, Petr, de Bakker, Paul I W, Dedoussis, George, Dekker, Annelot, Delaneau, Olivier, Dorr, Marcus, Durbin, Richard, Farmaki, Aliki-Eleni, Ferrucci, Luigi, Forer, Lukas, Fraser, Ross M, Frayling, Timothy, Fuchsberger, Christian, Gabriel, Stacey, Gandin, Ilaria, Gasparini, Paolo, Gillies, Christopher E, Gilly, Arthur, Groop, Leif, Harrison, Tabitha, Hattersley, Andrew, Holmen, Oddgeir L, Hveem, Kristian, Iacono, William, Joshi, Amit, Kang, Hyun Min, Khalili, Hamed, Kooperberg, Charles, Koskinen, Seppo, Kretzler, Matthias, Kretzschmar, Warren, Kwong, Alan, Lee, James C, Levy, Shawn, Luo, Yang, Mahajan, Anubha, Marchini, Jonathan, McCarroll, Steven, McCarthy, Mark I, McCarthy, Shane, McGue, Matt, McInnis, Melvin, Meitinger, Thomas, Melzer, David, Mezzavilla, Massimo, Min, Josine L, Mohlke, Karen L, Myers, Richard M, Nauck, Matthias, Nickerson, Deborah, Palotie, Aarno, Pato, Carlos, Pato, Michele, Peters, Ulrike, Pirastu, Nicola, Rheenen, Wouter Van, Richards, J Brent, Ripatti, Samuli, Sala, Cinzia, Salomaa, Veikko, Sampson, Matthew G, Schlessinger, David, Schoen, Robert E, Schoenherr, Sebastian, Scott, Laura J, Sharp, Kevin, Sidore, Carlo, Slagboom, P Eline, Small, Kerrin, Smith, George Davey, Soranzo, Nicole, Spector, Timothy, Stambolian, Dwight, Swaroop, Anand, Swertz, Morris A, Teumer, Alexander, Timpson, Nicholas, Toniolo, Daniela, Traglia, Michela, Tuke, Marcus, Tuomilehto, Jaakko, den Berg, Leonard H Van, van Duijn, Cornelia M, Veldink, Jan, Vincent, John B, Volker, Uwe, Vrieze, Scott, Walter, Klaudia, Wijmenga, Cisca, Willer, Cristen, Wilson, James F, Wood, Andrew R, Zeggini, Eleftheria, Zhang, He, Yang, Jian, Goddard, Michael E., Visscher, Peter M., and Keller, Matthew C.

Subjects
0301 basic medicine, Genome-wide association study, Biology, Population stratification, Genetic correlation, Polymorphism, Single Nucleotide, Identity by descent, Article, 03 medical and health sciences, 0302 clinical medicine, Gene Frequency, Missing heritability problem, Genetic variation, Genetics, Chromosomes, Human, Humans, Human height, Genetics (clinical), 030304 developmental biology, 0303 health sciences, Genome, Human, Heritability, Twin study, Minor allele frequency, Phenotype, 030104 developmental biology, Haplotypes, Evolutionary biology, Trait, 030217 neurology & neurosurgery
Abstract

Heritability is a fundamental parameter in genetics. Traditional estimates based on family or twin studies can be biased due to shared environmental or non-additive genetic variance. Alternatively, those based on genotyped or imputed variants typically underestimate narrow-sense heritability contributed by rare or otherwise poorly tagged causal variants. Identical-by-descent (IBD) segments of the genome share all variants between pairs of chromosomes except new mutations that have arisen since the last common ancestor. Therefore, relating phenotypic similarity to degree of IBD sharing among classically unrelated individuals is an appealing approach to estimating the near full additive genetic variance while possibly avoiding biases that can occur when modeling close relatives. We applied an IBD-based approach (GREML-IBD) to estimate heritability in unrelated individuals using phenotypic simulation with thousands of whole-genome sequences across a range of stratification, polygenicity levels, and the minor allele frequencies of causal variants (CVs). In simulations, the IBD-based approach produced unbiased heritability estimates, even when CVs were extremely rare, although precision was low. However, population stratification and non-genetic familial environmental effects shared across generations led to strong biases in IBD-based heritability. We used data on two traits in ~120,000 people from the UK Biobank to demonstrate that, depending on the trait and possible confounding environmental effects, GREML-IBD can be applied to very large genetic datasets to infer the contribution of very rare variants lost using other methods. However, we observed apparent biases in these real data, suggesting that more work may be required to understand and mitigate factors that influence IBD-based heritability estimates.

Published
2018

2. An organelle-specific protein landscape identifies novel diseases and molecular mechanisms

Author

Boldt, Karsten, van Reeuwijk, Jeroen, Dougherty, Gerard, Lamers, Ideke J C, Coene, Karlien L M, Arts, Heleen H, Betts, Matthew J, Beyer, Tina, Bolat, Emine, Gloeckner, Christian Johannes, Haidari, Khatera, Hetterschijt, Lisette, Lu, Qianhao, Iaconis, Daniela, Jenkins, Dagan, Klose, Franziska, Knapp, Barbara, Latour, Brooke, Letteboer, Stef J F, Marcelis, Carlo L, Mitic, Dragana, Morleo, Manuela, Oud, Machteld M, Koutroumpas, Konstantinos, Riemersma, Moniek, Rix, Susan, Terhal, Paulien A, Toedt, Grischa, van Dam, Teunis J P, de Vrieze, Erik, Wissinger, Yasmin, Wu, Ka Man, Apic, Gordana, Beales, Philip L, Nguyen, Thanh-Minh T, Blacque, Oliver E, Gibson, Toby J, Huynen, Martijn A, Katsanis, Nicholas, Kremer, Hannie, Omran, Heymut, van Wijk, Erwin, Wolfrum, Uwe, Kepes, François, Davis, Erica E, Texier, Yves, Franco, Brunella, Giles, Rachel H, Ueffing, Marius, Russell, Robert B, Roepman, Ronald, Group, UK10K Rare Diseases, Al-Turki, Saeed, Anderson, Carl, Antony, Dinu, Barroso, Inês, van Beersum, Sylvia E C, Bentham, Jamie, Bhattacharya, Shoumo, Carss, Keren, Chatterjee, Krishna, Cirak, Sebahattin, Cosgrove, Catherine, Danecek, Petr, Durbin, Richard, Fitzpatrick, David, Floyd, Jamie, Horn, Nicola, Reghan Foley, A., Franklin, Chris, Futema, Marta, Humphries, Steve E, Hurles, Matt, Joyce, Chris, McCarthy, Shane, Mitchison, Hannah M, Muddyman, Dawn, Muntoni, Francesco, Willer, Jason R, O'Rahilly, Stephen, Onoufriadis, Alexandros, Payne, Felicity, Plagnol, Vincent, Raymond, Lucy, Savage, David B, Scambler, Peter, Schmidts, Miriam, Schoenmakers, Nadia, Semple, Robert, Mans, Dorus A, Serra, Eva, Stalker, Jim, van Kogelenberg, Margriet, Vijayarangakannan, Parthiban, Walter, Klaudia, Whittall, Ros, Williamson, Kathy, Boldt, K, van Reeuwijk, J, Lu, Q, Koutroumpas, K, Nguyen, Tmt, Texier, Y, van Beersum, Sec, Horn, N, Willer, Jr, Mans, Da, Dougherty, G, Lamers, Ijc, Coene, Klm, Arts, Hh, Betts, Mj, Beyer, T, Bolat, E, Gloeckner, Cj, Haidari, K, Hetterschijt, L, Iaconis, D, Jenkins, D, Klose, F, Knapp, B, Latour, B, Letteboer, Sjf, Marcelis, Cl, Mitic, D, Morleo, M, Oud, Mm, Riemersma, M, Rix, S, Terhal, Pa, Toedt, G, van Dam, Tjp, de Vrieze, E, Wissinger, Y, Wu, Km, Apic, G, Beales, Pl, Blacque, Oe, Gibson, Tj, Huynen, Ma, Katsanis, N, Kremer, H, Omran, H, van Wijk, E, Wolfrum, U, Kepes, F, Davis, Ee, Franco, B, Giles, Rh, Ueffing, M, Russell, Rb, Roepman, R, Boldt, Karsten, Van Reeuwijk, Jeroen, Lu, Qianhao, Koutroumpas, Konstantino, Nguyen, Thanh Minh T., Texier, Yve, Van Beersum, Sylvia E. C., Horn, Nicola, Willer, Jason R., Mans, Dorus A., Dougherty, Gerard, Lamers, Ideke J. C., Coene, Karlien L. M., Arts, Heleen H., Betts, Matthew J., Beyer, Tina, Bolat, Emine, Gloeckner, Christian Johanne, Haidari, Khatera, Hetterschijt, Lisette, Iaconis, Daniela, Jenkins, Dagan, Klose, Franziska, Knapp, Barbara, Latour, Brooke, Letteboer, Stef J. F., Marcelis, Carlo L., Mitic, Dragana, Morleo, Manuela, Oud, Machteld M., Riemersma, Moniek, Rix, Susan, Terhal, Paulien A., Toedt, Grischa, Van Dam, Teunis J. P., De Vrieze, Erik, Wissinger, Yasmin, Wu, Ka Man, Al Turki, Saeed, Anderson, Carl, Antony, Dinu, Barroso, Inê, Bentham, Jamie, Bhattacharya, Shoumo, Carss, Keren, Chatterjee, Krishna, Cirak, Sebahattin, Cosgrove, Catherine, Danecek, Petr, Durbin, Richard, Fitzpatrick, David, Floyd, Jamie, Foley, A. Reghan, Franklin, Chri, Futema, Marta, Humphries, Steve E., Hurles, Matt, Joyce, Chri, Mccarthy, Shane, Mitchison, Hannah M., Muddyman, Dawn, Muntoni, Francesco, O'Rahilly, Stephen, Onoufriadis, Alexandro, Payne, Felicity, Plagnol, Vincent, Raymond, Lucy, Savage, David B., Scambler, Peter, Schmidts, Miriam, Schoenmakers, Nadia, Semple, Robert, Serra, Eva, Stalker, Jim, Van Kogelenberg, Margriet, Vijayarangakannan, Parthiban, Walter, Klaudia, Whittall, Ro, Williamson, Kathy, Apic, Gordana, Beales, Philip L., Blacque, Oliver E., Gibson, Toby J., Huynen, Martijn A., Katsanis, Nichola, Kremer, Hannie, Omran, Heymut, Van Wijk, Erwin, Wolfrum, Uwe, Kepes, Françoi, Davis, Erica E., Franco, Brunella, Giles, Rachel H., Ueffing, Mariu, Russell, Robert B., and Roepman, Ronald

Subjects
Proteomics, 0301 basic medicine, Systems Analysis, DNA Mutational Analysis, lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4], General Physics and Astronomy, Datasets as Topic, methods [Chromatography, Affinity], Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12], Chromatography, Affinity, Mass Spectrometry, Protein Interaction Mapping, therapy [Ciliopathies], genetics [Ciliopathies], methods [Molecular Targeted Therapy], Molecular Targeted Therapy, Protein Interaction Maps, Multidisciplinary, Cilium, Chemistry (all), abnormalities [Spine], pathology [Ciliopathies], genetics [Muscle Hypotonia], therapy [Muscle Hypotonia], Metabolic Disorders Radboud Institute for Molecular Life Sciences [Radboudumc 6], metabolism [Proteins], isolation & purification [Proteins], physiology [Biological Transport], 3. Good health, Cell biology, Vesicular transport protein, pathology [Dwarfism], metabolism [Cilia], Muscle Hypotonia, ddc:500, pathology [Muscle Hypotonia], pathology [Spine], genetics [Dwarfism], Rare cancers Radboud Institute for Health Sciences [Radboudumc 9], Science, Dwarfism, Exocyst, Biology, Article, General Biochemistry, Genetics and Molecular Biology, Physics and Astronomy (all), 03 medical and health sciences, Intraflagellar transport, Ciliogenesis, Organelle, Humans, Cilia, Biochemistry, Genetics and Molecular Biology (all), Proteins, Biological Transport, General Chemistry, therapy [Dwarfism], Fibroblasts, genetics [Proteins], Ciliopathies, Spine, methods [Protein Interaction Mapping], Renal disorders Radboud Institute for Molecular Life Sciences [Radboudumc 11], 030104 developmental biology, Proteostasis, HEK293 Cells, methods [Proteomics]
Abstract

Cellular organelles provide opportunities to relate biological mechanisms to disease. Here we use affinity proteomics, genetics and cell biology to interrogate cilia: poorly understood organelles, where defects cause genetic diseases. Two hundred and seventeen tagged human ciliary proteins create a final landscape of 1,319 proteins, 4,905 interactions and 52 complexes. Reverse tagging, repetition of purifications and statistical analyses, produce a high-resolution network that reveals organelle-specific interactions and complexes not apparent in larger studies, and links vesicle transport, the cytoskeleton, signalling and ubiquitination to ciliary signalling and proteostasis. We observe sub-complexes in exocyst and intraflagellar transport complexes, which we validate biochemically, and by probing structurally predicted, disruptive, genetic variants from ciliary disease patients. The landscape suggests other genetic diseases could be ciliary including 3M syndrome. We show that 3M genes are involved in ciliogenesis, and that patient fibroblasts lack cilia. Overall, this organelle-specific targeting strategy shows considerable promise for Systems Medicine., Mutations in proteins that localize to primary cilia cause devastating diseases, yet the primary cilium is a poorly understood organelle. Here the authors use interaction proteomics to identify a network of human ciliary proteins that provides new insights into several biological processes and diseases.

Published
2016

3. Whole-genome sequencing coupled to imputation discovers genetic signals for anthropometric traits

Author

Graham R. S. Ritchie, Massimiliano Cocca, Anette Varbo, Nicholas J. Timpson, George Dedoussis, Michael Boehnke, Marjolein N. Kooijman, Beate St Pourcain, Yasin Memari, André G. Uitterlinden, Andrew A Crawford, Eleftheria Zeggini, Fernando Rivadeneira, Satu Männistö, Caroline L Relton, Yali Xue, Petr Danecek, Kalliope Panoutsopoulou, Albert Hofman, George Davey Smith, María Soler Artigas, Michela Traglia, Josine L. Min, Weihua Zhang, Janine F. Felix, Christopher J Hammond, Claudia Langenberg, Jie Huang, Brian R. Walker, Narinder Bansal, Nigel W. Rayner, Emanuele Di Angelantonio, Kerrin S. Small, Konstantinos Hatzikotoulas, Cecilia M. Lindgren, Alisa K. Manning, Shane A. McCarthy, Susan M. Ring, Marcus E. Kleber, Abhishek Nag, Oliver Stegle, Paul Burton, Oscar H. Franco, William R. Scott, Carolina Medina-Gomez, Valentina Iotchkova, John R. B. Perry, Alireza Moayyeri, Lavinia Paternoster, Marianne Benn, Markus Perola, Katerina Trajanoska, Inês Barroso, Audrey E. Hendricks, Cinzia Sala, Carlo Sidore, Celia M. T. Greenwood, Jeremy Schwartzentruber, Richard Durbin, Cristina Bombieri, Klaudia Walter, Wei-Yu Lin, Hashem A. Shihab, Gialuigi Zaza, Jaspal S. Kooner, Magdalena Zoledziewska, Angela Matchan, Adam S. Butterworth, Pekka Jousilahti, Julia Steinberg, Anne Tybjærg-Hansen, John P. Kemp, Daniel Suveges, Nicole Soranzo, Chris Finan, Veikko Salomaa, Ioanna Ntalla, Nicholas J. Wareham, Adam E. Locke, Vincent W. V. Jaddoe, Ioanna Tachmazidou, Daniela Toniolo, Scott Wilson, Antonella Mulas, Aliki-Eleni Farmaki, Lorraine Southam, Martin D. Tobin, Tom R. Gaunt, Zhongsheng Chen, Paolo Gasparini, Andrew P. Morris, Giovanni Gambaro, John C. Chambers, Børge G. Nordestgaard, Sarah Metrustry, Benjamin Lehne, Jian'an Luan, Giovanni Malerba, Robert A. Scott, Mark I. McCarthy, Michal Szpak, Francesco Cucca, Tim D. Spector, Epidemiology, Erasmus MC other, Pediatrics, Internal Medicine, University of Helsinki, Institute for Molecular Medicine Finland, Quantitative Genetics, Tachmazidou, Ioanna, Süveges, Dániel, Min, Josine L., Ritchie, Graham R. S., Steinberg, Julia, Walter, Klaudia, Iotchkova, Valentina, Schwartzentruber, Jeremy, Huang, Jie, Memari, Yasin, Mccarthy, Shane, Crawford, Andrew A., Bombieri, Cristina, Cocca, Massimiliano, Farmaki, Aliki-Eleni, Gaunt, Tom R., Jousilahti, Pekka, Kooijman, Marjolein N., Lehne, Benjamin, Malerba, Giovanni, Männistö, Satu, Matchan, Angela, Medina-Gomez, Carolina, Metrustry, Sarah J., Nag, Abhishek, Ntalla, Ioanna, Paternoster, Lavinia, Rayner, Nigel W., Sala, Cinzia, Scott, William R., Shihab, Hashem A., Southam, Lorraine, St Pourcain, Beate, Traglia, Michela, Trajanoska, Katerina, Zaza, Gialuigi, Zhang, Weihua, Artigas, María S., Bansal, Narinder, Benn, Marianne, Chen, Zhongsheng, Danecek, Petr, Lin, Wei-Yu, Locke, Adam, Luan, Jian'An, Manning, Alisa K., Mulas, Antonella, Sidore, Carlo, Tybjaerg-Hansen, Anne, Varbo, Anette, Zoledziewska, Magdalena, Finan, Chri, Hatzikotoulas, Konstantino, Hendricks, Audrey E., Kemp, John P., Moayyeri, Alireza, Panoutsopoulou, Kalliope, Szpak, Michal, Wilson, Scott G., Boehnke, Michael, Cucca, Francesco, Di Angelantonio, Emanuele, Langenberg, Claudia, Lindgren, Cecilia, Mccarthy, Mark I., Morris, Andrew P., Nordestgaard, Børge G., Scott, Robert A., Tobin, Martin D., Wareham, Nicholas J., Burton, Paul, Chambers, John C., Smith, George Davey, Dedoussis, George, Felix, Janine F., Franco, Oscar H., Gambaro, Giovanni, Gasparini, Paolo, Hammond, Christopher J., Hofman, Albert, Jaddoe, Vincent W. V., Kleber, Marcu, Kooner, Jaspal S., Perola, Marku, Relton, Caroline, Ring, Susan M., Rivadeneira, Fernando, Salomaa, Veikko, Spector, Timothy D., Stegle, Oliver, Toniolo, Daniela, Uitterlinden, André G., Barroso, Inê, Greenwood, Celia M. T., Perry, John R. B., Walker, Brian R., Butterworth, Adam S., Xue, Yali, Durbin, Richard, Small, Kerrin S., Soranzo, Nicole, Timpson, Nicholas J., Zeggini, Eleftheria, McCarthy, Shane [0000-0002-2715-4187], Bansal, Narinder [0000-0002-6925-1719], Luan, Jian'an [0000-0003-3137-6337], Di Angelantonio, Emanuele [0000-0001-8776-6719], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Barroso, Ines [0000-0001-5800-4520], Perry, John [0000-0001-6483-3771], Butterworth, Adam [0000-0002-6915-9015], Soranzo, Nicole [0000-0003-1095-3852], and Apollo - University of Cambridge Repository

Subjects
Male, 0301 basic medicine, DXA trait, Lipodystrophy, next-generation whole-genome sequencing, GoT2D Consortium, LOCI, Genome-wide association study, imputation, anthropometry, DXA traits, genetic association study, UK Biobank, UK10K, Body Height, Cohort Studies, DNA Methylation, Databases, Genetic, Female, Genetic Variation, Humans, Meta-Analysis as Topic, Obesity, Physical Chromosome Mapping, Quantitative Trait Loci, Sequence Analysis, DNA, Sex Characteristics, Syndrome, United Kingdom, Anthropometry, Genome, Human, Genome-Wide Association Study, Genetics, Genetics (clinical), Settore MED/03 - GENETICA MEDICA, DISEASE, HOMEOBOX GENE, WIDE ASSOCIATION, Genetics & Heredity, Genome, 1184 Genetics, developmental biology, physiology, 11 Medical And Health Sciences, RARE VARIANTS, OBESITY, LOW-FREQUENCY, Life Sciences & Biomedicine, Sequence Analysis, arcOGEN Consortium, Human, ADULT HUMAN HEIGHT, Understanding Society Scientific Group, Computational biology, TARGETED DISRUPTION, Quantitative trait locus, Biology, Article, Databases, 03 medical and health sciences, Genetic, Genetic variation, Journal Article, UK10K Consortium, Allele, Genetic association, Whole genome sequencing, Science & Technology, SpiroMeta Consortium, DNA, 06 Biological Sciences, Sex Characteristic, 030104 developmental biology, Human genome, 3111 Biomedicine, Cohort Studie, KNOCKOUT MICE, Imputation (genetics)
Abstract

Deep sequence-based imputation can enhance the discovery power of genome-wide association studies by assessing previously unexplored variation across the common- and low-frequency spectra. We applied a hybrid whole genome sequencing (WGS) and deep imputation approach to examine the broader allelic architecture of twelve anthropometric traits associated with height, body mass and fat distribution in up to 267,616 individuals. We report 106 genome-wide significant signals that have not been previously identified, including 9 low-frequency variants pointing to functional candidates. Of the 106 signals, 6 are in genomic regions that have not been implicated with related traits before, 28 are independent signals at previously reported regions, and 72 represent previously reported signals for a different anthropometric trait. Seventy-one percent of signals reside within genes and fine-mapping resolves 23 signals to one or two likely causal variants. We confirm genetic overlap between human monogenic and polygenic anthropometric traits, and find signal enrichment in cis expression QTLs in relevant tissues. Our results highlight the potential of WGS strategies to enhance biologically-relevant discoveries across the frequency spectrum.

Published
2017

4. A reference panel of 64,976 haplotypes for genotype imputation

Author

Steven A. McCarroll, Gerome Breen, Nicole Soranzo, Sayantan Das, Ilaria Gandin, Lukas Forer, David Schlessinger, Jonathan Marchini, Francesco Cucca, Anand Swaroop, Seppo Koskinen, Aliki-Eleni Farmaki, Alan Kwong, Gonçalo R. Abecasis, Marcus Dörr, Yang Luo, Andrew T. Chan, Andrea Angius, P. Eline Slagboom, Petr Danecek, Cinzia Sala, Ulrike Peters, Marcus A. Tuke, D.I. Boomsma, Jan H. Veldink, Nicholas J. Timpson, Scott I. Vrieze, Aarno Palotie, Matt McGue, Wouter van Rheenen, Melvin G. McInnis, Shawn Levy, George Dedoussis, Richard Durbin, Matthias Kretzler, Ross M. Fraser, C Sidore, David Melzer, Eleftheria Zeggini, Andrew R. Wood, Veikko Salomaa, Oddgeir L. Holmen, Alexander Teumer, Hyun Min Kang, James F. Wilson, Cristen J. Willer, Laura J. Scott, Richard M. Myers, George Davey Smith, Andrew T. Hattersley, Matthias Nauck, Matthew G. Sampson, Christian Fuchsberger, Josine L. Min, Leonard H. van den Berg, Thomas Meitinger, David Altshuler, John B. Vincent, Kevin Sharp, Jaakko Tuomilehto, Daniela Toniolo, Cornelia M. van Duijn, Samuli Ripatti, Stacey Gabriel, Michael Boehnke, Annelot M. Dekker, Francis S. Collins, He Zhang, Klaudia Walter, Deborah A. Nickerson, Nicola Pirastu, Morris A. Swertz, Kari Branham, Luigi Ferrucci, Sai Chen, Fabio Busonero, Paul I.W. de Bakker, Kristian Hveem, Charles Kooperberg, Michela Traglia, Warren W. Kretzschmar, Leif Groop, Tabitha A. Harrison, Sebastian Schoenherr, J. Brent Richards, Uwe Völker, Shane A. McCarthy, Harry Campbell, Massimo Mezzavilla, Chad M. Brummett, Mark I. McCarthy, Tim D. Spector, Dwight Stambolian, Massimiliano Cocca, Emily Y. Chew, Carlos N. Pato, Jeffrey C. Barrett, Christopher E. Gillies, William G. Iacono, Karen L. Mohlke, Olivier Delaneau, Laura J Corbin, Cisca Wijmenga, Anubha Mahajan, Timothy M. Frayling, James Lee, Michele T. Pato, Carl A. Anderson, Arthur Gilly, Kerrin S. Small, Paolo Gasparini, Biological Psychology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, McCarthy, Shane [0000-0002-2715-4187], Das, Sayantan [0000-0001-6346-1590], Kretzschmar, Warren [0000-0002-2575-0807], Durbin, Richard [0000-0002-9130-1006], Apollo - University of Cambridge Repository, Epidemiology, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Mccarthy, Shane, Das, Sayantan, Kretzschmar, Warren, Delaneau, Olivier, Wood, Andrew R, Teumer, Alexander, Kang, Hyun Min, Fuchsberger, Christian, Danecek, Petr, Sharp, Kevin, Luo, Yang, Sidore, Carlo, Kwong, Alan, Timpson, Nichola, Koskinen, Seppo, Vrieze, Scott, Scott, Laura J, Zhang, He, Mahajan, Anubha, Veldink, Jan, Peters, Ulrike, Pato, Carlo, van Duijn, Cornelia M, Gillies, Christopher E, Gandin, Ilaria, Mezzavilla, Massimo, Gilly, Arthur, Cocca, Massimiliano, Traglia, Michela, Angius, Andrea, Barrett, Jeffrey C, Boomsma, Dorrett, Branham, Kari, Breen, Gerome, Brummett, Chad M, Busonero, Fabio, Campbell, Harry, Chan, Andrew, Chen, Sai, Chew, Emily, Collins, Francis S, Corbin, Laura J, Smith, George Davey, Dedoussis, George, Dorr, Marcu, Farmaki, Aliki Eleni, Ferrucci, Luigi, Forer, Luka, Fraser, Ross M, Gabriel, Stacey, Levy, Shawn, Groop, Leif, Harrison, Tabitha, Hattersley, Andrew, Holmen, Oddgeir L, Hveem, Kristian, Kretzler, Matthia, Lee, James C, Mcgue, Matt, Meitinger, Thoma, Melzer, David, Min, Josine L, Mohlke, Karen L, Vincent, John B, Nauck, Matthia, Nickerson, Deborah, Palotie, Aarno, Pato, Michele, Pirastu, Nicola, Mcinnis, Melvin, Richards, J. Brent, Sala, Cinzia, Salomaa, Veikko, Schlessinger, David, Schoenherr, Sebastian, Slagboom, P. Eline, Small, Kerrin, Spector, Timothy, Stambolian, Dwight, Tuke, Marcu, Tuomilehto, Jaakko, van den Berg, Leonard H, van Rheenen, Wouter, Volker, Uwe, Wijmenga, Cisca, Toniolo, Daniela, Zeggini, Eleftheria, Gasparini, Paolo, Sampson, Matthew G, Wilson, James F, Frayling, Timothy, de Bakker, Paul I. W, Swertz, Morris A, Mccarroll, Steven, Kooperberg, Charle, Dekker, Annelot, Altshuler, David, Willer, Cristen, Iacono, William, Ripatti, Samuli, Soranzo, Nicole, Walter, Klaudia, Swaroop, Anand, Cucca, Francesco, Anderson, Carl A, Myers, Richard M, Boehnke, Michael, Mccarthy, Mark I, and Durbin, Richard

Subjects
0301 basic medicine, Netherlands Twin Register (NTR), Genotype, Population, Genome-wide association study, Single-nucleotide polymorphism, Computational biology, Biology, Polymorphism, Single Nucleotide, SEQUENCE, Article, 03 medical and health sciences, 0302 clinical medicine, Reference Values, Journal Article, Genetics, Humans, GENOME-WIDE ASSOCIATION, education, Alleles, POPULATION, 030304 developmental biology, Genetic association, Whole genome sequencing, education.field_of_study, Internet, 0303 health sciences, Genotype imputation, Medicine (all), Haplotype, ALSPAC, Minor allele frequency, 030104 developmental biology, Genetic Techniques, Haplotypes, RARE VARIANTS, 030217 neurology & neurosurgery, Imputation (genetics), Genome-Wide Association Study
Abstract

We describe a reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole genome sequence data from 20 studies of predominantly European ancestry. Using this resource leads to accurate genotype imputation at minor allele frequencies as low as 0.1%, a large increase in the number of SNPs tested in association studies and can help to discover and refine causal loci. We describe remote server resources that allow researchers to carry out imputation and phasing consistently and efficiently.

Published
2015

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