Human and mouse essentiality screens as a resource for disease gene discovery.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
31 01 2020
Historique:
received: 23 05 2019
accepted: 12 12 2019
entrez: 2 2 2020
pubmed: 2 2 2020
medline: 12 5 2020
Statut: epublish

Résumé

The identification of causal variants in sequencing studies remains a considerable challenge that can be partially addressed by new gene-specific knowledge. Here, we integrate measures of how essential a gene is to supporting life, as inferred from viability and phenotyping screens performed on knockout mice by the International Mouse Phenotyping Consortium and essentiality screens carried out on human cell lines. We propose a cross-species gene classification across the Full Spectrum of Intolerance to Loss-of-function (FUSIL) and demonstrate that genes in five mutually exclusive FUSIL categories have differing biological properties. Most notably, Mendelian disease genes, particularly those associated with developmental disorders, are highly overrepresented among genes non-essential for cell survival but required for organism development. After screening developmental disorder cases from three independent disease sequencing consortia, we identify potentially pathogenic variants in genes not previously associated with rare diseases. We therefore propose FUSIL as an efficient approach for disease gene discovery.

Identifiants

pubmed: 32005800
doi: 10.1038/s41467-020-14284-2
pii: 10.1038/s41467-020-14284-2
pmc: PMC6994715
doi:

Types de publication

Evaluation Study Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

655

Subventions

Organisme : Medical Research Council
ID : MC_UP_1502/1
Pays : United Kingdom
Organisme : NIH HHS
ID : UM1 OD023221
Pays : United States
Organisme : NHGRI NIH HHS
ID : UM1 HG006348
Pays : United States
Organisme : Medical Research Council
ID : MC_U142684172
Pays : United Kingdom
Organisme : NHGRI NIH HHS
ID : UM1 HG006370
Pays : United States
Organisme : Medical Research Council
ID : MR/S006753/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_U142684171
Pays : United Kingdom

Investigateurs

J C Ambrose (JC)
P Arumugam (P)
E L Baple (EL)
M Bleda (M)
F Boardman-Pretty (F)
J M Boissiere (JM)
C R Boustred (CR)
H Brittain (H)
M J Caulfield (MJ)
G C Chan (GC)
C E H Craig (CEH)
L C Daugherty (LC)
A de Burca (A)
A Devereau (A)
G Elgar (G)
R E Foulger (RE)
T Fowler (T)
P Furió-Tarí (P)
J M Hackett (JM)
D Halai (D)
A Hamblin (A)
S Henderson (S)
J E Holman (JE)
T J P Hubbard (TJP)
K Ibáñez (K)
R Jackson (R)
L J Jones (LJ)
D Kasperaviciute (D)
M Kayikci (M)
L Lahnstein (L)
K Lawson (K)
S E A Leigh (SEA)
I U S Leong (IUS)
F J Lopez (FJ)
F Maleady-Crowe (F)
J Mason (J)
E M McDonagh (EM)
L Moutsianas (L)
M Mueller (M)
N Murugaesu (N)
A C Need (AC)
C A Odhams (CA)
C Patch (C)
D Perez-Gil (D)
D Polychronopoulos (D)
J Pullinger (J)
T Rahim (T)
A Rendon (A)
P Riesgo-Ferreiro (P)
T Rogers (T)
M Ryten (M)
K Savage (K)
K Sawant (K)
R H Scott (RH)
A Siddiq (A)
A Sieghart (A)
K R Smith (KR)
A Sosinsky (A)
W Spooner (W)
H E Stevens (HE)
A Stuckey (A)
R Sultana (R)
E R A Thomas (ERA)
S R Thompson (SR)
C Tregidgo (C)
A Tucci (A)
E Walsh (E)
S A Watters (SA)
M J Welland (MJ)
E Williams (E)
K Witkowska (K)
S M Wood (SM)
M Zarowiecki (M)
Susan Marschall (S)
Christoph Lengger (C)
Holger Maier (H)
Claudia Seisenberger (C)
Antje Bürger (A)
Ralf Kühn (R)
Joel Schick (J)
Andreas Hörlein (A)
Oskar Oritz (O)
Florian Giesert (F)
Joachim Beig (J)
Janet Kenyon (J)
Gemma Codner (G)
Martin Fray (M)
Sara J Johnson (SJ)
James Cleak (J)
Zsombor Szoke-Kovacs (Z)
David Lafont (D)
Valerie E Vancollie (VE)
Robbie S B McLaren (RSB)
Lena Hughes-Hallett (L)
Christine Rowley (C)
Emma Sanderson (E)
Antonella Galli (A)
Elizabeth Tuck (E)
Angela Green (A)
Catherine Tudor (C)
Emma Siragher (E)
Monika Dabrowska (M)
Cecilia Icoresi Mazzeo (CI)
Mark Griffiths (M)
David Gannon (D)
Brendan Doe (B)
Nicola Cockle (N)
Andrea Kirton (A)
Joanna Bottomley (J)
Catherine Ingle (C)
Edward Ryder (E)
Diane Gleeson (D)
Ramiro Ramirez-Solis (R)
Marie-Christine Birling (MC)
Guillaume Pavlovic (G)
Abdel Ayadi (A)
Meziane Hamid (M)
Ghina Bou About (GB)
Marie-France Champy (MF)
Hugues Jacobs (H)
Olivia Wendling (O)
Sophie Leblanc (S)
Laurent Vasseur (L)
Elissa J Chesler (EJ)
Vivek Kumar (V)
Jacqueline K White (JK)
Karen L Svenson (KL)
Jean-Paul Wiegand (JP)
Laura L Anderson (LL)
Troy Wilcox (T)
James Clark (J)
Jennifer Ryan (J)
James Denegre (J)
Tim Stearns (T)
Vivek Philip (V)
Catherine Witmeyer (C)
Lindsay Bates (L)
Zachary Seavey (Z)
Pamela Stanley (P)
Amelia Willet (A)
Willson Roper (W)
Julie Creed (J)
Michayla Moore (M)
Alex Dorr (A)
Pamelia Fraungruber (P)
Rose Presby (R)
Matthew Mckay (M)
Dong Nguyen-Bresinsky (D)
Leslie Goodwin (L)
Rachel Urban (R)
Coleen Kane (C)

Références

Bamshad, M. J. et al. The Centers for Mendelian Genomics: a new large-scale initiative to identify the genes underlying rare Mendelian conditions. Am. J. Med. Genet. A 158a, 1523–1525 (2012).
doi: 10.1002/ajmg.a.35470 pubmed: 22628075 pmcid: 22628075
Deciphering Developmental Disorders Study. Prevalence and architecture of de novo mutations in developmental disorders. Nature 542, 433–438 (2017).
doi: 10.1038/nature21062
Thormann, A. et al. Flexible and scalable diagnostic filtering of genomic variants using G2P with Ensembl VEP. Nat. Commun. 10, 2373 (2019).
doi: 10.1038/s41467-019-10016-3 pubmed: 31147538 pmcid: 31147538
Splinter, K. et al. Effect of genetic diagnosis on patients with previously undiagnosed disease. N. Engl. J. Med. 379, 2131–2139 (2018).
doi: 10.1056/NEJMoa1714458 pubmed: 30304647 pmcid: 30304647
Petrovski, S., Wang, Q., Heinzen, E. L., Allen, A. S. & Goldstein, D. B. Genic intolerance to functional variation and the interpretation of personal genomes. PLoS Genet. 9, e1003709 (2013).
doi: 10.1371/journal.pgen.1003709 pubmed: 23990802 pmcid: 23990802
Lek, M. et al. Analysis of protein-coding genetic variation in 60,706 humans. Nature 536, 285–291 (2016).
doi: 10.1038/nature19057 pubmed: 27535533 pmcid: 27535533
Karczewski, K. J. et al. Variation across 141,456 human exomes and genomes reveals the spectrum of loss-of-function intolerance across human protein-coding genes. Preprint at https://www.biorxiv.org/content/10.1101/531210v3 (2019).
Kohler, S. et al. Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources. Nucleic Acids Res. 47, D1018–D1027 (2019).
doi: 10.1093/nar/gky1105 pubmed: 30476213 pmcid: 30476213
Westbury, S. K. et al. Human phenotype ontology annotation and cluster analysis to unravel genetic defects in 707 cases with unexplained bleeding and platelet disorders. Genome Med. 7, 36 (2015).
doi: 10.1186/s13073-015-0151-5 pubmed: 25949529 pmcid: 25949529
Meehan, T. F. et al. Disease model discovery from 3,328 gene knockouts by the International Mouse Phenotyping Consortium. Nat. Genet. 49, 1231–1238 (2017).
doi: 10.1038/ng.3901 pubmed: 5546242 pmcid: 5546242
Cassa, C. A. et al. Estimating the selective effects of heterozygous protein-truncating variants from human exome data. Nat. Genet. 49, 806–810 (2017).
doi: 10.1038/ng.3831 pubmed: 5618255 pmcid: 5618255
Luo, H., Lin, Y., Gao, F., Zhang, C. T. & Zhang, R. DEG 10, an update of the database of essential genes that includes both protein-coding genes and noncoding genomic elements. Nucleic Acids Res. 42, D574–D580 (2014).
doi: 10.1093/nar/gkt1131
Bartha, I., di Iulio, J., Venter, J. C. & Telenti, A. Human gene essentiality. Nat. Rev. Genet. 19, 51–62 (2018).
doi: 10.1038/nrg.2017.75
Chen, W. H., Lu, G. T., Chen, X., Zhao, X. M. & Bork, P. OGEE v2: an update of the online gene essentiality database with special focus on differentially essential genes in human cancer cell lines. Nucleic Acids Res. 45, D940–D944 (2017).
doi: 10.1093/nar/gkw1013 pubmed: 27799467 pmcid: 27799467
Wang, T. et al. Identification and characterization of essential genes in the human genome. Science 350, 1096–1101 (2015).
doi: 10.1126/science.aac7041 pubmed: 4662922 pmcid: 4662922
Hart, T. et al. High-resolution CRISPR screens reveal fitness genes and genotype-specific cancer liabilities. Cell 163, 1515–1526 (2015).
doi: 10.1016/j.cell.2015.11.015
Blomen, V. A. et al. Gene essentiality and synthetic lethality in haploid human cells. Science 350, 1092–1096 (2015).
doi: 10.1126/science.aac7557
Munoz-Fuentes, V. et al. The International Mouse Phenotyping Consortium (IMPC): a functional catalogue of the mammalian genome that informs conservation. Conserv. Genet. 19, 995–1005 (2018).
doi: 10.1007/s10592-018-1072-9 pubmed: 6061128 pmcid: 6061128
Tsherniak, A. et al. Defining a cancer dependency map. Cell 170, 564–576.e16 (2017).
doi: 10.1016/j.cell.2017.06.010 pubmed: 5667678 pmcid: 5667678
Meyers, R. M. et al. Computational correction of copy number effect improves specificity of CRISPR-Cas9 essentiality screens in cancer cells. Nat. Genet. 49, 1779–1784 (2017).
doi: 10.1038/ng.3984 pubmed: 5709193 pmcid: 5709193
Dickinson, M. E. et al. High-throughput discovery of novel developmental phenotypes. Nature 537, 508–514 (2016).
doi: 10.1038/nature19356 pubmed: 5295821 pmcid: 5295821
Brown, S. D. M. et al. High-throughput mouse phenomics for characterizing mammalian gene function. Nat. Rev. Genet. 19, 357–370 (2018).
doi: 10.1038/s41576-018-0005-2 pubmed: 6582361 pmcid: 6582361
Adams, D. et al. Bloomsbury report on mouse embryo phenotyping: recommendations from the IMPC workshop on embryonic lethal screening. Dis. Models Mech. 6, 571–579 (2013).
doi: 10.1242/dmm.011833
Lin, Y. & Zhang, R. R. Putative essential and core-essential genes in Mycoplasma genomes. Sci. Rep. 1, 53 (2011).
doi: 10.1038/srep00053 pubmed: 3216540 pmcid: 3216540
Hart, T., Brown, K. R., Sircoulomb, F., Rottapel, R. & Moffat, J. Measuring error rates in genomic perturbation screens: gold standards for human functional genomics. Mol. Syst. Biol. 10, 733 (2014).
doi: 10.15252/msb.20145216 pubmed: 4299491 pmcid: 4299491
Rancati, G., Moffat, J., Typas, A. & Pavelka, N. Emerging and evolving concepts in gene essentiality. Nat. Rev. Genet. 19, 34–49 (2018).
doi: 10.1038/nrg.2017.74
De Kegel, B. & Ryan, C. J. Paralog buffering contributes to the variable essentiality of genes in cancer cell lines. PLoS Genet. 15, e1008466 (2019).
doi: 10.1371/journal.pgen.1008466 pubmed: 6834290 pmcid: 6834290
Spataro, N., Rodriguez, J. A., Navarro, A. & Bosch, E. Properties of human disease genes and the role of genes linked to Mendelian disorders in complex disease aetiology. Hum. Mol. Genet. 26, 489–500 (2017).
pubmed: 5409085 pmcid: 5409085
Georgi, B., Voight, B. F. & Bucan, M. From mouse to human: evolutionary genomics analysis of human orthologs of essential genes. PLoS Genet. 9, e1003484 (2013).
doi: 10.1371/journal.pgen.1003484 pubmed: 3649967 pmcid: 3649967
Han, S. K., Kim, I., Hwang, J. & Kim, S. Network modules of the cross-species genotype-phenotype map reflect the clinical severity of human diseases. PLoS ONE 10, e0136300 (2015).
doi: 10.1371/journal.pone.0136300 pubmed: 26301634 pmcid: 26301634
Turnbull, C. et al. The 100 000 Genomes Project: bringing whole genome sequencing to the NHS. BMJ 361, k1687 (2018).
doi: 10.1136/bmj.k1687 pubmed: 29691228 pmcid: 29691228
Ji, X., Kember, R. L., Brown, C. D. & Bucan, M. Increased burden of deleterious variants in essential genes in autism spectrum disorder. Proc. Natl Acad. Sci. USA 113, 15054–15059 (2016).
doi: 10.1073/pnas.1613195113 pubmed: 27956632 pmcid: 27956632
Dawes, R., Lek, M. & Cooper, S. T. Gene discovery informatics toolkit defines candidate genes for unexplained infertility and prenatal or infantile mortality. NPJ Genom. Med. 4, 8 (2019).
doi: 10.1038/s41525-019-0081-z pubmed: 30993004 pmcid: 30993004
Hussin, J. G. et al. Recombination affects accumulation of damaging and disease-associated mutations in human populations. Nat. Genet. 47, 400–404 (2015).
doi: 10.1038/ng.3216 pubmed: 25685891 pmcid: 25685891
Zhang, X., Acencio, M. L. & Lemke, N. Predicting essential genes and proteins based on machine learning and network topological features: a comprehensive review. Front. Physiol. 7, 75 (2016).
Dickerson, J. E., Zhu, A., Robertson, D. L. & Hentges, K. E. Defining the role of essential genes in human disease. PLoS ONE 6, e27368 (2011).
doi: 10.1371/journal.pone.0027368 pubmed: 22096564 pmcid: 22096564
Martin, H. C. et al. Quantifying the contribution of recessive coding variation to developmental disorders. Science 362, 1161–1164 (2018).
doi: 10.1126/science.aar6731 pubmed: 30409806 pmcid: 30409806
Lord, J. et al. Prenatal exome sequencing analysis in fetal structural anomalies detected by ultrasonography (PAGE): a cohort study. Lancet 393, 747–757 (2019).
doi: 10.1016/S0140-6736(18)31940-8 pubmed: 30712880 pmcid: 30712880
Posey, J. E. et al. Insights into genetics, human biology and disease gleaned from family based genomic studies. Genet. Med. 21, 798–812 (2019).
doi: 10.1038/s41436-018-0408-7
Turner, T. N. et al. denovo-db: a compendium of human de novo variants. Nucleic Acids Res. 45, D804–D811 (2017).
doi: 10.1093/nar/gkw865
Stuchell-Brereton, M. D. et al. ESCRT-III recognition by VPS4 ATPases. Nature 449, 740–744 (2007).
doi: 10.1038/nature06172 pubmed: 17928862 pmcid: 17928862
Mohun, T. et al. Deciphering the Mechanisms of Developmental Disorders (DMDD): a new programme for phenotyping embryonic lethal mice. Dis. Models Mech. 6, 562–566 (2013).
doi: 10.1242/dmm.011957
Clark, M. M. et al. Meta-analysis of the diagnostic and clinical utility of genome and exome sequencing and chromosomal microarray in children with suspected genetic diseases. NPJ Genom. Med. 3, 16 (2018).
doi: 10.1038/s41525-018-0053-8 pubmed: 30002876 pmcid: 30002876
Eilbeck, K., Quinlan, A. & Yandell, M. Settling the score: variant prioritization and Mendelian disease. Nat. Rev. Genet. 18, 599–612 (2017).
doi: 10.1038/nrg.2017.52 pubmed: 28804138 pmcid: 28804138
Pengelly, R. J., Vergara-Lope, A., Alyousfi, D., Jabalameli, M. R. & Collins, A. Understanding the disease genome: gene essentiality and the interplay of selection, recombination and mutation. Brief. Bioinformatics 20, 267–273 (2019).
doi: 10.1093/bib/bbx110 pubmed: 28968721 pmcid: 28968721
Gu, Z. L. et al. Role of duplicate genes in genetic robustness against null mutations. Nature 421, 63–66 (2003).
doi: 10.1038/nature01198
Eyre-Walker, Y. C. & Eyre-Walker, A. The role of mutation rate variation and genetic diversity in the architecture of human disease. PLoS ONE 9, e90166 (2014).
doi: 10.1371/journal.pone.0090166 pubmed: 24587257 pmcid: 24587257
Fuller, Z. L., Berg, J. J., Mostafavi, H., Sella, G. & Przeworski, M. Measuring intolerance to mutation in human genetics. Nat. Genet. 51, 772–776 (2019).
doi: 10.1038/s41588-019-0383-1 pubmed: 30962618 pmcid: 30962618
Robinson, P. N. et al. Improved exome prioritization of disease genes through cross-species phenotype comparison. Genome Res. 24, 340–348 (2014).
doi: 10.1101/gr.160325.113 pubmed: 24162188 pmcid: 24162188
Bojanowski, M. & Edwards, R. alluvial: R Package for Creating Alluvial Diagrams. R Package Version 0.1-2 (Bioconductor, 2016).
Gentleman, R. Category: Category Analysis. R Package Version 2.48.1 (Bioconductor, 2019).
Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate - a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B Stat. Methodol. 57, 289–300 (1995).
Supek, F., Bosnjak, M., Skunca, N. & Smuc, T. REVIGO summarizes and visualizes long lists of gene ontology terms. PLoS ONE 6, e21800 (2011).
doi: 10.1371/journal.pone.0021800 pubmed: 3138752 pmcid: 3138752
Yu, G. & He, Q.-Y. ReactomePA: an R/Bioconductor package for reactome pathway analysis and visualization. Mol. Biosyst. 12, 477–479 (2016).
doi: 10.1039/C5MB00663E
Smith, C. L. et al. Mouse Genome Database (MGD)-2018: knowledgebase for the laboratory mouse. Nucleic Acids Res. 46, D836–D842 (2018).
doi: 10.1093/nar/gkx1006
Cummings, B. B. et al. Transcript expression-aware annotation improves rare variant discovery and interpretation. Preprint at https://www.biorxiv.org/content/10.1101/554444v1 (2019).
Huang, N., Lee, I., Marcotte, E. M. & Hurles, M. E. Characterising and predicting haploinsufficiency in the human genome. PLoS Genet. 6, e1001154 (2010).
doi: 10.1371/journal.pgen.1001154 pubmed: 20976243 pmcid: 20976243
Halldorsson, B. V. et al. Characterizing mutagenic effects of recombination through a sequence-level genetic map. Science 363, eaau1043 (2019).
Lawrence, M. HelloRanges: Introduce *Ranges to Bedtools Users. R Package Version 1.8.0 (Bioconductor, 2018).
Durinck, S., Spellman, P. T., Birney, E. & Huber, W. Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt. Nat. Protoc. 4, 1184–1191 (2009).
doi: 10.1038/nprot.2009.97 pubmed: 3159387 pmcid: 3159387
Battle, A., Brown, C. D., Engelhardt, B. E. & Montgomery, S. B. Genetic effects on gene expression across human tissues. Nature 550, 204–213 (2017).
doi: 10.1038/nature24277
Szklarczyk, D. et al. STRING v10: protein-protein interaction networks, integrated over the tree of life. Nucleic Acids Res. 43, D447–D452 (2015).
doi: 10.1093/nar/gku1003
Assenov, Y., Ramirez, F., Schelhorn, S. E., Lengauer, T. & Albrecht, M. Computing topological parameters of biological networks. Bioinformatics 24, 282–284 (2008).
doi: 10.1093/bioinformatics/btm554
Giurgiu, M. et al. CORUM: the comprehensive resource of mammalian protein complexes-2019. Nucleic Acids Res. 47, D559–D563 (2019).
doi: 10.1093/nar/gky973
Samocha, K. E. et al. A framework for the interpretation of de novo mutation in human disease. Nat. Genet. 46, 944–950 (2014).
doi: 10.1038/ng.3050 pubmed: 4222185 pmcid: 4222185
Sampson, M. G., Gillies, C. E., Ju, W., Kretzler, M. & Kang, H. M. Gene-level integrated metric of negative selection (GIMS) prioritizes candidate genes for nephrotic syndrome. PLoS ONE 8, e81062 (2013).
doi: 10.1371/journal.pone.0081062 pubmed: 3832435 pmcid: 3832435
Smedley, D. et al. PhenoDigm: analyzing curated annotations to associate animal models with human diseases. Database (Oxford) 2013, bat025 (2013).
Kirkpatrick, B. E. et al. GenomeConnect: matchmaking between patients, clinical laboratories, and researchers to improve genomic knowledge. Hum. Mutat. 36, 974–978 (2015).
doi: 10.1002/humu.22838 pubmed: 4575269 pmcid: 4575269
Fabregat, A. et al. The Reactome Pathway Knowledgebase. Nucleic Acids Res. 46, D649–D655 (2018).
doi: 10.1093/nar/gkx1132
Miller, J. A. et al. Transcriptional landscape of the prenatal human brain. Nature 508, 199–206 (2014).
doi: 10.1038/nature13185 pubmed: 24695229 pmcid: 24695229
Watanabe, K., Taskesen, E., van Bochoven, A. & Posthuma, D. Functional mapping and annotation of genetic associations with FUMA. Nat. Commun. 8, 1826 (2017).
doi: 10.1038/s41467-017-01261-5 pubmed: 29184056 pmcid: 29184056
R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, Vienna, 2018).

Auteurs

Pilar Cacheiro (P)

Clinical Pharmacology, William Harvey Research Institute, School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK.

Violeta Muñoz-Fuentes (V)

European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.

Stephen A Murray (SA)

The Jackson Laboratory, Bar Harbor, ME, 4609, USA.

Mary E Dickinson (ME)

Departments of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX, 77030, USA.
Departments of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA.

Maja Bucan (M)

Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.

Lauryl M J Nutter (LMJ)

The Centre for Phenogenomics, The Hospital for Sick Children, Toronto, ON, M5T 3H7, Canada.

Kevin A Peterson (KA)

The Jackson Laboratory, Bar Harbor, ME, 4609, USA.

Hamed Haselimashhadi (H)

European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.

Ann M Flenniken (AM)

The Centre for Phenogenomics, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, M5T 3H7, Canada.

Hugh Morgan (H)

Medical Research Council Harwell Institute (Mammalian Genetics Unit and Mary Lyon Centre), Harwell, Oxfordshire, OX11 0RD, UK.

Henrik Westerberg (H)

Medical Research Council Harwell Institute (Mammalian Genetics Unit and Mary Lyon Centre), Harwell, Oxfordshire, OX11 0RD, UK.

Tomasz Konopka (T)

Clinical Pharmacology, William Harvey Research Institute, School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK.

Chih-Wei Hsu (CW)

Departments of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX, 77030, USA.

Audrey Christiansen (A)

Departments of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX, 77030, USA.

Denise G Lanza (DG)

Departments of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA.

Arthur L Beaudet (AL)

Departments of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA.

Jason D Heaney (JD)

Departments of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA.

Helmut Fuchs (H)

German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany.

Valerie Gailus-Durner (V)

German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany.

Tania Sorg (T)

Université de Strasbourg, CNRS, INSERM, Institut Clinique de la Souris, PHENOMIN-ICS, 67404, Illkirch, France.

Jan Prochazka (J)

Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Vestec, 252 50, Prague, Czech Republic.

Vendula Novosadova (V)

Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Vestec, 252 50, Prague, Czech Republic.

Christopher J Lelliott (CJ)

Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK.

Hannah Wardle-Jones (H)

Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK.

Sara Wells (S)

Medical Research Council Harwell Institute (Mammalian Genetics Unit and Mary Lyon Centre), Harwell, Oxfordshire, OX11 0RD, UK.

Lydia Teboul (L)

Medical Research Council Harwell Institute (Mammalian Genetics Unit and Mary Lyon Centre), Harwell, Oxfordshire, OX11 0RD, UK.

Heather Cater (H)

Medical Research Council Harwell Institute (Mammalian Genetics Unit and Mary Lyon Centre), Harwell, Oxfordshire, OX11 0RD, UK.

Michelle Stewart (M)

Medical Research Council Harwell Institute (Mammalian Genetics Unit and Mary Lyon Centre), Harwell, Oxfordshire, OX11 0RD, UK.

Tertius Hough (T)

Medical Research Council Harwell Institute (Mammalian Genetics Unit and Mary Lyon Centre), Harwell, Oxfordshire, OX11 0RD, UK.

Wolfgang Wurst (W)

Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, 85764, Neuherberg, Germany.
Department of Developmental Genetics, Center of Life and Food Sciences Weihenstephan, Technische Universität München, 85764, Neuherberg, Germany.
Deutsches Institut für Neurodegenerative Erkrankungen (DZNE) Site Munich, Munich Cluster for Systems Neurology (SyNergy), Adolf-Butenandt-Institut, Ludwig-Maximilians-Universität München, 80336, Munich, Germany.

Radislav Sedlacek (R)

Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Vestec, 252 50, Prague, Czech Republic.

David J Adams (DJ)

Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK.

John R Seavitt (JR)

Departments of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA.

Glauco Tocchini-Valentini (G)

Monterotondo Mouse Clinic, Italian National Research Council (CNR), Institute of Cell Biology and Neurobiology, 00015, Monterotondo Scalo, Italy.

Fabio Mammano (F)

Monterotondo Mouse Clinic, Italian National Research Council (CNR), Institute of Cell Biology and Neurobiology, 00015, Monterotondo Scalo, Italy.

Robert E Braun (RE)

The Jackson Laboratory, Bar Harbor, ME, 4609, USA.

Colin McKerlie (C)

The Centre for Phenogenomics, The Hospital for Sick Children, Toronto, ON, M5T 3H7, Canada.
Translational Medicine, The Hospital for Sick Children, Toronto, ON, M5T 3H7, Canada.

Yann Herault (Y)

Université de Strasbourg, CNRS, INSERM, Institut de Génétique, Biologie Moléculaire et Cellulaire, Institut Clinique de la Souris, IGBMC, PHENOMIN-ICS, 67404, Illkirch, France.

Martin Hrabě de Angelis (MH)

German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany.
Department of Experimental Genetics, Center of Life and Food Sciences Weihenstephan, Technische Universität München, 85354, Freising-Weihenstephan, Germany.
German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany.

Ann-Marie Mallon (AM)

Medical Research Council Harwell Institute (Mammalian Genetics Unit and Mary Lyon Centre), Harwell, Oxfordshire, OX11 0RD, UK.

K C Kent Lloyd (KCK)

Mouse Biology Program, University of California, Davis, CA, 95618, USA.

Steve D M Brown (SDM)

Medical Research Council Harwell Institute (Mammalian Genetics Unit and Mary Lyon Centre), Harwell, Oxfordshire, OX11 0RD, UK.

Helen Parkinson (H)

European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.

Terrence F Meehan (TF)

European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.

Damian Smedley (D)

Clinical Pharmacology, William Harvey Research Institute, School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK. d.smedley@qmul.ac.uk.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH