Sven Bergmann

Publications | Mémoires et thèses

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161 publications

2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 | 1999 | 1998 |
2024
Phenotypic and genetic characteristics of retinal vascular parameters and their association with diseases.
Ortín Vela S., Beyeler M.J., Trofimova O., Iuliani I., Vargas Quiros J.D., de Vries V.A., Meloni I., Elwakil A., Hoogewoud F., Liefers B. et al., 2024/11/06. Nature communications, 15 (1) p. 9593. Peer-reviewed.
[URN][DOI][Pmid][serval:BIB_08552644537E]
Disentangling genetic effects on transcriptional and post-transcriptional gene regulation through integrating exon and intron expression QTLs.
Brümmer A., Bergmann S., 2024/05/06. Nature communications, 15 (1) p. 3786. Peer-reviewed.
[URN][DOI][Pmid][serval:BIB_D3A95CE7F2D1]
2023
Genome-wide Association Studies of Retinal Vessel Tortuosity Identify Numerous Novel Loci Revealing Genes and Pathways Associated With Ocular and Cardiometabolic Diseases.
Tomasoni M., Beyeler M.J., Vela S.O., Mounier N., Porcu E., Corre T., Krefl D., Button A.L., Abouzeid H., Konstantinidis Lazaros et al., 2023/09. Ophthalmology science, 3 (3) p. 100288. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_E95C7A7DDD8F]
PascalX: a Python library for GWAS gene and pathway enrichment tests.
Krefl D., Brandulas Cammarata A., Bergmann S., 2023/05/04. Bioinformatics, 39 (5) pp. btad296. Peer-reviewed.
[URN][DOI][Pmid][serval:BIB_D8824EBDC2F5]
 
Genome-wide analysis identifies genetic effects on reproductive success and ongoing natural selection at the FADS locus.
Mathieson I., Day F.R., Barban N., Tropf F.C., Brazel D.M., eQTLGen Consortium, BIOS Consortium, Vaez A., van Zuydam N., Bitarello B.D. et al., 2023/05. Nature human behaviour, 7 (5) pp. 790-801. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_F6DE9D216FAD]
2022
Cross-GWAS coherence test at the gene and pathway level.
Krefl D., Bergmann S., 2022/09. PLoS computational biology, 18 (9) pp. e1010517. Peer-reviewed.
[URN][DOI][Pmid][serval:BIB_347C6E9AAD44]
Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals.
Winkler T.W., Rasheed H., Teumer A., Gorski M., Rowan B.X., Stanzick K.J., Thomas L.F., Tin A., Hoppmann A., Chu A.Y. et al., 2022/06/13. Communications biology, 5 (1) p. 580. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_2E29F39E6E69]
Estimating RNA dynamics using one time point for one sample in a single-pulse metabolic labeling experiment.
Hersch M., Biasini A., Marques A.C., Bergmann S., 2022/04/22. BMC bioinformatics, 23 (1) p. 147. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_DEE37AA016C5]
 
Meta-GWAS Reveals Novel Genetic Variants Associated with Urinary Excretion of Uromodulin.
Joseph C.B., Mariniello M., Yoshifuji A., Schiano G., Lake J., Marten J., Richmond A., Huffman J.E., Campbell A., Harris S.E. et al., 2022/03. Journal of the American Society of Nephrology, 33 (3) pp. 511-529. Peer-reviewed.
[DOI][Pmid][serval:BIB_74BD331CF8E5]
Analysis of Eukaryotic lincRNA Sequences Indicates Signatures of Hindered Translation Linked to Selection Pressure.
Brümmer A., Dreos R., Marques A.C., Bergmann S., 2022/02/03. Molecular biology and evolution, 39 (2) pp. msab356. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_480A22B18475]
2021
Untargeted Metabolome- and Transcriptome-Wide Association Study Suggests Causal Genes Modulating Metabolite Concentrations in Urine.
Sönmez Flitman R., Khalili B., Kutalik Z., Rueedi R., Brümmer A., Bergmann S., 2021/11/05. Journal of proteome research, 20 (11) pp. 5103-5114. Peer-reviewed.
[URN][DOI][Pmid][serval:BIB_83A8DE848FD3]
 
Inosine Substitutions in RNA Activate Latent G-Quadruplexes.
Hagen T., Laski A., Brümmer A., Pruška A., Schlösser V., Cléry A., Allain F.H., Zenobi R., Bergmann S., Hall J., 2021/09/22. Journal of the American Chemical Society, 143 (37) pp. 15120-15130. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_419D75E87BF6]
Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression.
Võsa U., Claringbould A., Westra H.J., Bonder M.J., Deelen P., Zeng B., Kirsten H., Saha A., Kreuzhuber R., Yazar S. et al., 2021/09. Nature genetics, 53 (9) pp. 1300-1310. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_9462F2AB5F22]
 
Genetic insights into biological mechanisms governing human ovarian ageing.
Ruth K.S., Day F.R., Hussain J., Martínez-Marchal A., Aiken C.E., Azad A., Thompson D.J., Knoblochova L., Abe H., Tarry-Adkins J.L. et al., 2021/08. Nature, 596 (7872) pp. 393-397. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_AEC34ED6E894]
Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci.
de Las Fuentes L., Sung Y.J., Noordam R., Winkler T., Feitosa M.F., Schwander K., Bentley A.R., Brown M.R., Guo X., Manning A. et al., 2021/06. Molecular psychiatry, 26 (6) pp. 2111-2125. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_7C997FACA438]
The trans-ancestral genomic architecture of glycemic traits.
Chen J., Spracklen C.N., Marenne G., Varshney A., Corbin L.J., Luan J., Willems S.M., Wu Y., Zhang X., Horikoshi M. et al., 2021/06. Nature genetics, 53 (6) pp. 840-860. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_53C688CA509F]
Statistical mediation of the relationships between chronological age and lipoproteins by nonessential amino acids in healthy men.
Mallol R., Vallvé J.C., Solà R., Girona J., Bergmann S., Correig X., Rock E., Winklhofer-Roob B.M., Rehues P., Guardiola M. et al., 2021. Computational and structural biotechnology journal, 19 pp. 6169-6178. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_42131A1ECFEA]
2020
Mechanical forces drive ordered patterning of hair cells in the mammalian inner ear.
Cohen R., Amir-Zilberstein L., Hersch M., Woland S., Loza O., Taiber S., Matsuzaki F., Bergmann S., Avraham K.B., Sprinzak D., 2020/10/12. Nature communications, 11 (1) p. 5137. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_F21C9C5B673D]
MONET: a toolbox integrating top-performing methods for network modularization.
Tomasoni M., Gómez S., Crawford J., Zhang W., Choobdar S., Marbach D., Bergmann S., 2020/06/01. Bioinformatics, 36 (12) pp. 3920-3921. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_2BDD22DB1107]
2019
Interoperable and scalable data analysis with microservices: applications in metabolomics.
Emami Khoonsari P., Moreno P., Bergmann S., Burman J., Capuccini M., Carone M., Cascante M., de Atauri P., Foguet C., Gonzalez-Beltran A.N. et al., 2019/10/01. Bioinformatics, 35 (19) pp. 3752-3760. Peer-reviewed.
[URN][DOI][Pmid][serval:BIB_2E01B5B0EEB9]
Automated Analysis of Large-Scale NMR Data Generates Metabolomic Signatures and Links Them to Candidate Metabolites.
Tomasoni M., Khalili B., Mattei M., Mallol Parera R., Sonmez R., Krefl D., Rueedi R., Bergmann S., 2019/09/06. Journal of proteome research, 18 (9) pp. 3360-3368. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_FEEE642E4FEC]
Assessment of network module identification across complex diseases.
Choobdar S., Ahsen M.E., Crawford J., Tomasoni M., Fang T., Lamparter D., Lin J., Hescott B., Hu X., Mercer J. et al., 2019/09. Nature methods, 16 (9) pp. 843-852. Peer-reviewed.
[URN][DOI][Pmid][serval:BIB_EE926FD85D16]
Genome-wide Association Study of Change in Fasting Glucose over time in 13,807 non-diabetic European Ancestry Individuals.
Liu C.T., Merino J., Rybin D., DiCorpo D., Benke K.S., Bragg-Gresham J.L., Canouil M., Corre T., Grallert H., Isaacs A. et al., 2019/07/01. Scientific reports, 9 (1) p. 9439. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_E13FCF74BB37]
 
Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity.
Turcot V., Lu Y., Highland H.M., Schurmann C., Justice A.E., Fine R.S., Bradfield J.P., Esko T., Giri A., Graff M. et al., 2019/07..
[DOI][WoS][Pmid][serval:BIB_B20E27C014A7]
 
A catalog of genetic loci associated with kidney function from analyses of a million individuals.
Wuttke M., Li Y., Li M., Sieber K.B., Feitosa M.F., Gorski M., Tin A., Wang L., Chu A.Y., Hoppmann A. et al., 2019/06. Nature genetics, 51 (6) pp. 957-972. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_9B3824B99372]
 
Chromatin three-dimensional interactions mediate genetic effects on gene expression.
Delaneau O., Zazhytska M., Borel C., Giannuzzi G., Rey G., Howald C., Kumar S., Ongen H., Popadin K., Marbach D. et al., 2019/05/03. Science, 364 (6439). Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_266A5EFF0381]
Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution.
Justice A.E., Karaderi T., Highland H.M., Young K.L., Graff M., Lu Y., Turcot V., Auer P.L., Fine R.S., Guo X. et al., 2019/03. Nature genetics, 51 (3) pp. 452-469. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_3FE73F14651D]
PhenoMeNal: processing and analysis of metabolomics data in the cloud.
Peters K., Bradbury J., Bergmann S., Capuccini M., Cascante M., de Atauri P., Ebbels TMD, Foguet C., Glen R., Gonzalez-Beltran A. et al., 2019/02/01. GigaScience, 8 (2) pp. giy149. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_18192C20F501]
Multi-Omics and Genome-Scale Modeling Reveal a Metabolic Shift During C. elegans Aging.
Hastings J., Mains A., Virk B., Rodriguez N., Murdoch S., Pearce J., Bergmann S., Le Novère N., Casanueva O., 2019. Frontiers in Molecular Biosciences, 6 p. 2. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_EE4830743295]
2018
 
Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity.
Turcot V., Lu Y., Highland H.M., Schurmann C., Justice A.E., Fine R.S., Bradfield J.P., Esko T., Giri A., Graff M. et al., 2018/05..
[DOI][WoS][Pmid][serval:BIB_1690AB3E74A9]
High capacity in G protein-coupled receptor signaling.
Keshelava A., Solis G.P., Hersch M., Koval A., Kryuchkov M., Bergmann S., Katanaev V.L., 2018/02/28. Nature communications, 9 (1) p. 876. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_4B5E271BB510]
 
Genome-Wide Meta-Analysis Unravels Interactions between Magnesium Homeostasis and Metabolic Phenotypes.
Corre T., Arjona F.J., Hayward C., Youhanna S., de Baaij JHF, Belge H., Nägele N., Debaix H., Blanchard M.G., Traglia M. et al., 2018/01. Journal of the American Society of Nephrology, 29 (1) pp. 335-348. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_E9CC84D13755]
Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity.
Turcot V., Lu Y., Highland H.M., Schurmann C., Justice A.E., Fine R.S., Bradfield J.P., Esko T., Giri A., Graff M. et al., 2018/01. Nature genetics, 50 (1) pp. 26-41. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_37FAA1DECECC]
2017
Metabomatching: Using genetic association to identify metabolites in proton NMR spectroscopy.
Rueedi R., Mallol R., Raffler J., Lamparter D., Friedrich N., Vollenweider P., Waeber G., Kastenmüller G., Kutalik Z., Bergmann S., 2017/12. PLoS computational biology, 13 (12) pp. e1005839. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_C001C1DFA970]
A genome-wide association meta-analysis on lipoprotein (a) concentrations adjusted for apolipoprotein (a) isoforms.
Mack S., Coassin S., Rueedi R., Yousri N.A., Seppälä I., Gieger C., Schönherr S., Forer L., Erhart G., Marques-Vidal P. et al., 2017/09. Journal of lipid research, 58 (9) pp. 1834-1844. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_5A3A28A604C2]
Interaction between the FTO gene, body mass index and depression: meta-analysis of 13701 individuals.
Rivera M., Locke A.E., Corre T., Czamara D., Wolf C., Ching-Lopez A., Milaneschi Y., Kloiber S., Cohen-Woods S., Rucker J. et al., 2017/08. The British journal of psychiatry, 211 (2) pp. 70-76. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_8FEC91DF2193]
 
Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk.
Day F.R., Thompson D.J., Helgason H., Chasman D.I., Finucane H., Sulem P., Ruth K.S., Whalen S., Sarkar A.K., Albrecht E. et al., 2017/06. Nature genetics, 49 (6) pp. 834-841. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_B4D0ABB2E939]
Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits.
Justice A.E., Winkler T.W., Feitosa M.F., Graff M., Fisher V.A., Young K., Barata L., Deng X., Czajkowski J., Hadley D. et al., 2017/04/26. Nature communications, 8 p. 14977. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_EE9BC5C43371]
Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.
Graff M., Scott R.A., Justice A.E., Young K.L., Feitosa M.F., Barata L., Winkler T.W., Chu A.Y., Mahajan A., Hadley D. et al., 2017/04. PLoS genetics, 13 (4) pp. e1006528. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_C0CBE3B529A2]
cis-Acting Complex-Trait-Associated lincRNA Expression Correlates with Modulation of Chromosomal Architecture.
Tan J.Y., Smith AAT, Ferreira da Silva M., Matthey-Doret C., Rueedi R., Sönmez R., Ding D., Kutalik Z., Bergmann S., Marques A.C., 2017/02/28. Cell reports, 18 (9) pp. 2280-2288. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_3FE7271DEEFD]
Rare and low-frequency coding variants alter human adult height.
Marouli E., Graff M., Medina-Gomez C., Lo K.S., Wood A.R., Kjaer T.R., Fine R.S., Lu Y., Schurmann C., Highland H.M. et al., 2017/02/09. Nature, 542 (7640) pp. 186-190. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_CB04B9543EC2]
Genome-Wide Association between Transcription Factor Expression and Chromatin Accessibility Reveals Regulators of Chromatin Accessibility.
Lamparter D., Marbach D., Rueedi R., Bergmann S., Kutalik Z., 2017/01. PLoS computational biology, 13 (1) pp. e1005311. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_986A309B4E9D]
2016
 
Genome-wide analysis identifies 12 loci influencing human reproductive behavior.
Barban N., Jansen R., de Vlaming R., Vaez A., Mandemakers J.J., Tropf F.C., Shen X., Wilson J.F., Chasman D.I., Nolte I.M. et al., 2016/12. Nature genetics, 48 (12) pp. 1462-1472. Peer-reviewed.
[DOI][Pmid][serval:BIB_1811EA937E1C]
A genome-wide association meta-analysis on apolipoprotein A-IV concentrations.
Lamina C., Friedel S., Coassin S., Rueedi R., Yousri N.A., Seppälä I., Gieger C., Schönherr S., Forer L., Erhart G. et al., 2016/08/15. Human molecular genetics, 25 (16) pp. 3635-3646. Peer-reviewed.
[URN][DOI][Pmid][serval:BIB_323B694F448A]
Fast and Rigorous Computation of Gene and Pathway Scores from SNP-Based Summary Statistics.
Lamparter D., Marbach D., Rueedi R., Kutalik Z., Bergmann S., 2016. Plos Computational Biology, 12 (1) pp. e1004714.
[URN][DOI][WoS][Pmid][serval:BIB_50526236BCA7]
Genome-Wide Analysis Reveals Novel Regulators of Growth in Drosophila melanogaster.
Vonesch S.C., Lamparter D., Mackay T.F., Bergmann S., Hafen E., 2016. Plos Genetics, 12 (1) pp. e1005616. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_86B1471396C8]
RNAseq analysis of heart tissue from mice treated with atenolol and isoproterenol reveals a reciprocal transcriptional response.
Prunotto A., Stevenson B.J., Berthonneche C., Schüpfer F., Beckmann J.S., Maurer F., Bergmann S., 2016. BMC Genomics, 17 p. 717. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_8B036F457643]
 
Tissue-specific regulatory circuits reveal variable modular perturbations across complex diseases.
Marbach D., Lamparter D., Quon G., Kellis M., Kutalik Z., Bergmann S., 2016. Nature Methods, 13 (4) pp. 366-370. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_AF2629708987]
2015
Directional dominance on stature and cognition in diverse human populations.
Joshi P.K., Esko T., Mattsson H., Eklund N., Gandin I., Nutile T., Jackson A.U., Schurmann C., Smith A.V., Zhang W. et al., 2015. Nature, 523 (7561) pp. 459-462. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_E6FE1E6B0AA3]
Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair.
Day F.R., Ruth K.S., Thompson D.J., Lunetta K.L., Pervjakova N., Chasman D.I., Stolk L., Finucane H.K., Sulem P., Bulik-Sullivan B. et al., 2015. Nature Genetics, 47 (11) pp. 1294-1303. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_95D27766A246]
Pom1 gradient buffering through intermolecular auto-phosphorylation.
Hersch M., Hachet O., Dalessi S., Ullal P., Bhatia P., Bergmann S., Martin S.G., 2015. Molecular Systems Biology, 11 (7) p. 818. Peer-reviewed.
[URN][WoS][Pmid][serval:BIB_8A9B72AA03B4]
 
Sox4 participates in the modulation of Schwann cell myelination.
Bartesaghi L., Arnaud Gouttenoire E., Prunotto A., Médard J.J., Bergmann S., Chrast R., 2015. European Journal of Neuroscience, 42 (2) pp. 1788-1796. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_DF6145E49C9F]
2014
Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche.
Perry J.R., Day F., Elks C.E., Sulem P., Thompson D.J., Ferreira T., He C., Chasman D.I., Esko T., Thorleifsson G. et al., 2014/10/02. Nature, 514 (7520) pp. 92-97. Peer-reviewed.
[URN][DOI][Pmid][serval:BIB_7816C9E4E3E5]
 
A higher mutational burden in females supports a "female protective model" in neurodevelopmental disorders.
Jacquemont S., Coe B.P., Hersch M., Duyzend M.H., Krumm N., Bergmann S., Beckmann J.S., Rosenfeld J.A., Eichler E.E., 2014. American Journal of Human Genetics, 94 (3) pp. 415-425. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_0ECCA4248136]
 
Common variants in UMOD associate with urinary uromodulin levels: a meta-analysis.
Olden M., Corre T., Hayward C., Toniolo D., Ulivi S., Gasparini P., Pistis G., Hwang S.J., Bergmann S., Campbell H. et al., 2014. Journal of the American Society of Nephrology, 25 (8) pp. 1869-1882. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_C1848CB96D59]
Distinct levels in Pom1 gradients limit Cdr2 activity and localization to time and position division.
Bhatia P., Hachet O., Hersch M., Rincon S.A., Berthelot-Grosjean M., Dalessi S., Basterra L., Bergmann S., Paoletti A., Martin S.G., 2014. Cell Cycle, 13 (4) pp. 538-552.
[URN][DOI][WoS][Pmid][serval:BIB_BA90E254E2C0]
DNA mismatch repair gene MSH6 implicated in determining age at natural menopause.
Perry J.R., Hsu Y.H., Chasman D.I., Johnson A.D., Elks C., Albrecht E., Andrulis I.L., Beesley J., Berenson G.S., Bergmann S. et al., 2014. Human Molecular Genetics, 23 (9) pp. 2490-2497.
[URN][DOI][WoS][Pmid][serval:BIB_92D295068C5A]
Fifteen years SIB Swiss Institute of Bioinformatics: life science databases, tools and support.
Stockinger H., Altenhoff A.M., Arnold K., Bairoch A., Bastian F., Bergmann S., Bougueleret L., Bucher P., Delorenzi M., Lane L. et al., 2014. Nucleic Acids Research, 42 (Web Server issue) pp. W436-W441. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_28A5775B7C38]
Genome-wide association study of metabolic traits reveals novel gene-metabolite-disease links.
Rueedi R., Ledda M., Nicholls A.W., Salek R.M., Marques-Vidal P., Morya E., Sameshima K., Montoliu I., Da Silva L., Collino S. et al., 2014. Plos Genetics, 10 (2) pp. e1004132. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_018C0E67910C]
GWAS of human bitter taste perception identifies new loci and reveals additional complexity of bitter taste genetics.
Ledda M., Kutalik Z., Souza Destito M.C., Souza M.M., Cirillo C.A., Zamboni A., Martin N., Morya E., Sameshima K., Beckmann J.S. et al., 2014. Human Molecular Genetics, 23 (1) pp. 259-267.
[URN][DOI][WoS][Pmid][serval:BIB_180FDCC647D0]
Light intensity modulates the regulatory network of the shade avoidance response in Arabidopsis.
Hersch M., Lorrain S., de Wit M., Trevisan M., Ljung K., Bergmann S., Fankhauser C., 2014. Proceedings of the National Academy of Sciences of the United States of America, 111 (17) pp. 6515-6520. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_C2C0FA03AEFA]
Novel Approach Identifies SNPs in SLC2A10 and KCNK9 with Evidence for Parent-of-Origin Effect on Body Mass Index.
Hoggart C.J., Venturini G., Mangino M., Gomez F., Ascari G., Zhao J.H., Teumer A., Winkler T.W., Ternikova N., Luan J. et al., 2014. PLoS Genetics, 10 (7) pp. e1004508.
[URN][DOI][WoS][Pmid][serval:BIB_B24DBE741EAD]
Plasma membrane H⁺ -ATPase regulation is required for auxin gradient formation preceding phototropic growth.
Hohm T., Demarsy E., Quan C., Allenbach Petrolati L., Preuten T., Vernoux T., Bergmann S., Fankhauser C., 2014. Molecular Systems Biology, 10 (9) p. 751. Peer-reviewed.
[URN][WoS][Pmid][serval:BIB_8F7ADDBC432C]
2013
A genome-wide association study of early menopause and the combined impact of identified variants.
Perry J.R., Corre T., Esko T., Chasman D.I., Fischer K., Franceschini N., He C., Kutalik Z., Mangino M., Rose L.M. et al., 2013. Human Molecular Genetics, 22 (7) pp. 1465-1472.
[URN][DOI][WoS][Pmid][serval:BIB_1B48C9EEEFB7]
 
Common variants in mendelian kidney disease genes and their association with renal function.
Parsa A., Fuchsberger C., Köttgen A., O'Seaghdha C.M., Pattaro C., de Andrade M., Chasman D.I., Teumer A., Endlich K., Olden M. et al., 2013. Journal of the American Society of Nephrology, 24 (12) pp. 2105-2117.
[DOI][WoS][Pmid][serval:BIB_A6FEE2A2AE69]
Defining the site of light perception and initiation of phototropism in Arabidopsis.
Preuten T., Hohm T., Bergmann S., Fankhauser C., 2013. Current Biology, 23 (19) pp. 1934-1938.
[URN][DOI][WoS][Pmid][serval:BIB_12E34D66EC26]
Influence of CRTC1 Polymorphisms on Body Mass Index and Fat Mass in Psychiatric Patients and the General Adult Population.
Choong E., Quteineh L., Cardinaux J.R., Gholam-Rezaee M., Vandenberghe F., Dobrinas M., Bondolfi G., Etter M., Holzer L., Magistretti P. et al., 2013. JAMA Psychiatry, 70 (10) pp. 1011-1019. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_1BC1C0DFA15B]
Manipulating the sensitivity of signal-induced repression: quantification and consequences of altered brinker gradients.
Gafner L., Dalessi S., Escher E., Pyrowolakis G., Bergmann S., Basler K., 2013. Plos One, 8 (8) pp. e71224.
[URN][DOI][WoS][Pmid][serval:BIB_A84BFC496D76]
Meta-analysis of genome-wide association studies identifies six new Loci for serum calcium concentrations.
O'Seaghdha C.M., Wu H., Yang Q., Kapur K., Guessous I., Zuber A.M., Köttgen A., Stoudmann C., Teumer A., Kutalik Z. et al., 2013. Plos Genetics, 9 (9) pp. e1003796.
[URN][DOI][WoS][Pmid][serval:BIB_2AD446B425B4]
The hourglass and the early conservation models--co-existing patterns of developmental constraints in vertebrates.
Piasecka B., Lichocki P., Moretti S., Bergmann S., Robinson-Rechavi M., 2013. Plos Genetics, 9 (4) pp. e1003476. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_B03DCB0498A7]
 
The protective effect of the obesity-associated rs9939609 A variant in fat mass- and obesity-associated gene on depression.
Samaan Z., Anand S., Zhang X., Desai D., Rivera M., Pare G., Thabane L., Xie C., Gerstein H., Engert J.C. et al., 2013. Molecular Psychiatry, 18 (12) pp. 1281-1286. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_D910D5579C51]
2012
Iterative Estimation of Rigid-Body Transformations
Hersch Micha, Billard Aude, Bergmann Sven, 2012/04. Journal of Mathematical Imaging and Vision, 43 (1) pp. 1-9. Peer-reviewed.
[URN][DOI][WoS][serval:BIB_15DDDDB1222C]
 
Aging of myelinating glial cells predominantly affects lipid metabolism and immune response pathways.
Verdier V., Csárdi G., de Preux-Charles A.S., Médard J.J., Smit A.B., Verheijen M.H., Bergmann S., Chrast R., 2012. Glia, 60 (5) pp. 751-760. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_1ECE1FC279E1]
 
Caffeine intake and CYP1A2 variants associated with high caffeine intake protect non-smokers from hypertension.
Guessous I., Dobrinas M., Kutalik Z., Pruijm M., Ehret G., Maillard M., Bergmann S., Beckmann J.S., Cusi D., Rizzi F. et al., 2012. Human Molecular Genetics, 21 (14) pp. 3283-3292. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_1D2BE11940C7]
Carriers of the fragile X mental retardation 1 (FMR1) premutation allele present with increased levels of cytokine IL-10.
Marek D., Papin S., Ellefsen K., Niederhauser J., Isidor N., Ransijn A., Poupon L., Spertini F., Pantaleo G., Bergmann S. et al., 2012. Journal of Neuroinflammation, 9 p. 238. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_ADF180AFD031]
Comparative modular analysis of gene expression in vertebrate organs.
Piasecka B., Kutalik Z., Roux J., Bergmann S., Robinson-Rechavi M., 2012. Bmc Genomics, 13 p. 124. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_94FEE072331D]
Correcting for the bias due to expression specificity improves the estimation of constrained evolution of expression between mouse and human.
Piasecka B., Robinson-Rechavi M., Bergmann S., 2012. Bioinformatics, 28 (14) pp. 1865-1872. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_FFE8D8F98971]
 
Depressive disorder moderates the effect of the FTO gene on body mass index.
Rivera M., Cohen-Woods S., Kapur K., Breen G., Ng M.Y., Butler A.W., Craddock N., Gill M., Korszun A., Maier W. et al., 2012. Molecular Psychiatry, 17 (6) pp. 604-611. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_987C5EAB57C3]
Discovery and fine mapping of serum protein loci through transethnic meta-analysis.
Franceschini N., van Rooij F.J., Prins B.P., Feitosa M.F., Karakas M., Eckfeldt J.H., Folsom A.R., Kopp J., Vaez A., Andrews J.S. et al., 2012. American Journal of Human Genetics, 91 (4) pp. 744-753. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_3FDF42776B3B]
Genetic polymorphisms of the main transcription factors for adiponectin gene promoter in regulation of adiponectin levels: association analysis in three European cohorts.
Kedenko L., Lamina C., Kiesslich T., Kapur K., Bergmann S., Waterworth D., Heid I.M., Wichmann H.E., Kedenko I., Kronenberg F. et al., 2012. Plos One, 7 (12) pp. e52497. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_C28285A632FB]
Genome-wide association and functional follow-up reveals new loci for kidney function.
Pattaro C., Köttgen A., Teumer A., Garnaas M., Böger C.A., Fuchsberger C., Olden M., Chen M.H., Tin A., Taliun D. et al., 2012. Plos Genetics, 8 (3) pp. e1002584. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_B9C5A0C7ADBD]
Identification and validation of copy number variants using SNP genotyping arrays from a large clinical cohort.
Valsesia A., Stevenson B.J., Waterworth D., Mooser V., Vollenweider P., Waeber G., Jongeneel C.V., Beckmann J.S., Kutalik Z., Bergmann S., 2012. Bmc Genomics, 13 (241) p. 241. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_B4A4552A9706]
 
Integration of genome-wide association studies with biological knowledge identifies six novel genes related to kidney function.
Chasman D.I., Fuchsberger C., Pattaro C., Teumer A., Böger C.A., Endlich K., Olden M., Chen M.H., Tin A., Taliun D. et al., 2012. Human Molecular Genetics, 21 (24) pp. 5329-5343. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_85F07B409DF9]
Mapping genetic variants associated with beta-adrenergic responses in inbred mice.
Hersch M., Peter B., Kang H.M., Schüpfer F., Abriel H., Pedrazzini T., Eskin E., Beckmann J.S., Bergmann S., Maurer F., 2012. Plos One, 7 (7) pp. e41032.
[URN][DOI][WoS][Pmid][serval:BIB_F62EE85BCBC4]
 
Modeling morphogen gradient formation from arbitrary realistically shaped sources.
Dalessi S., Neves A., Bergmann S., 2012. Journal of Theoretical Biology, 294 pp. 130-138.
[DOI][WoS][Pmid][serval:BIB_ED11352580F2]
 
No interactions between previously associated 2-hour glucose gene variants and physical activity or BMI on 2-hour glucose levels.
Scott R.A., Chu A.Y., Grarup N., Manning A.K., Hivert M.F., Shungin D., Tönjes A., Yesupriya A., Barnes D., Bouatia-Naji N. et al., 2012. Diabetes, 61 (5) pp. 1291-1296. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_E019BF6B6966]
Nuclear phytochrome a signaling promotes phototropism in Arabidopsis.
Kami C., Hersch M., Trevisan M., Genoud T., Hiltbrunner A., Bergmann S., Fankhauser C., 2012. Plant Cell, 24 (2) pp. 566-576.
[URN][DOI][WoS][Pmid][serval:BIB_9AA1E61E7943]
Phytochrome Kinase Substrate 4 is phosphorylated by the phototropin 1 photoreceptor.
Demarsy E., Schepens I., Okajima K., Hersch M., Bergmann S., Christie J., Shimazaki K., Tokutomi S., Fankhauser C., 2012. EMBO Journal, 31 (16) pp. 3457-3467.
[URN][DOI][WoS][Pmid][serval:BIB_D17C87E21DB2]
2011
 
Genome-wide association study identifies two loci strongly affecting transferrin glycosylation.
Kutalik Z., Benyamin B., Bergmann S., Mooser V., Waeber G., Montgomery G.W., Martin N.G., Madden P.A., Heath A.C., Beckmann J.S. et al., 2011/09/15. Human molecular genetics, 20 (18) pp. 3710-3717. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_4CBEDBD36408]
 
Aging preferentially affects molecular pathways implicated in development and disease of myelinating glial cells
Verdier V., Csardi G., Charles de Preux A.S., Medard J.J., Verheijen M., Bergmann S., Chrast R., 2011. pp. S64 dans 10th European meeting on Glial Cells in Health and Disease, GLIA. Peer-reviewed.
[WoS][serval:BIB_0CD9373F86A5]
 
Aging preferentially affects molecular pathways implicated in development and disease of myelinating glial cells
Verdier V., Csardi G., de Preux-Charles A.-.S., Medard J.-.J., Bergmann S., Verheijen M., Charst R., 2011. pp. S143-S143 dans Meeting of the Peripheral Nerve Society, Journal of the Peripheral Nervous System. Peer-reviewed.
[WoS][serval:BIB_FB0C6D90E840]
Association of genetic variation with systolic and diastolic blood pressure among African Americans: the Candidate Gene Association Resource study.
Fox E.R., Young J.H., Li Y., Dreisbach A.W., Keating B.J., Musani S.K., Liu K., Morrison A.C., Ganesh S., Kutlar A. et al., 2011. Human Molecular Genetics, 20 (11) pp. 2273-2284. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_AE8CBFCBEF3C]
 
Brain energy consumption induced by electrical stimulation promotes systemic glucose uptake.
Binkofski F., Loebig M., Jauch-Chara K., Bergmann S., Melchert U.H., Scholand-Engler H.G., Schweiger U., Pellerin L., Oltmanns K.M., 2011. Biological Psychiatry, 70 (7) pp. 690-695.
[DOI][WoS][Pmid][serval:BIB_B28F35436CB3]
Comparison of Strategies to Detect Epistasis from eQTL Data.
Kapur K., Schüpbach T., Xenarios I., Kutalik Z., Bergmann S., 2011. PLoS One, 6 (12) pp. e28415.
[URN][DOI][WoS][Pmid][serval:BIB_AD05BDDCB787]
 
CUBN is a gene locus for albuminuria.
Böger C.A., Chen M.H., Tin A., Olden M., Köttgen A., de Boer I.H., Fuchsberger C., O'Seaghdha C.M., Pattaro C., Teumer A. et al., 2011. Journal of the American Society of Nephrology, 22 (3) pp. 555-570. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_61D7BB6FF101]
Dpp signaling activity requires Pentagone to scale with tissue size in the growing Drosophila wing imaginal disc.
Hamaratoglu F., de Lachapelle A.M., Pyrowolakis G., Bergmann S., Affolter M., 2011. PLoS Biology, 9 (10) pp. e1001182.
[URN][DOI][WoS][Pmid][serval:BIB_96060DD10D8B]
Formation of the long range Dpp morphogen gradient.
Schwank G., Dalessi S., Yang S.F., Yagi R., de Lachapelle A.M., Affolter M., Bergmann S., Basler K., 2011. Plos Biology, 9 (7) pp. e1001111. Peer-reviewed.
[URN][DOI][Pmid][serval:BIB_745551B985EE]
Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk.
International Consortium for Blood Pressure Genome-Wide Association Studies, Ehret G.B., Munroe P.B., Rice K.M., Bochud M., Johnson A.D., Chasman D.I., Smith A.V., Tobin M.D., Verwoert G.C. et al., 2011. Nature, 478 (7367) pp. 103-109. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_1DC9105514C9]
 
Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure.
Wain L.V., Verwoert G.C., O'Reilly P.F., Shi G., Johnson T., Johnson A.D., Bochud M., Rice K.M., Henneman P., Smith A.V. et al., 2011. Nature Genetics, 43 (10) pp. 1005-1011. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_DBEEF95D2F27]
 
Methods for testing association between uncertain genotypes and quantitative traits.
Kutalik Z., Johnson T., Bochud M., Mooser V., Vollenweider P., Waeber G., Waterworth D., Beckmann J.S., Bergmann S., 2011. Biostatistics, 12 (1) pp. 1-17. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_3B14FBDAAC90]
Mirror extreme BMI phenotypes associated with gene dosage at the chromosome 16p11.2 locus.
Jacquemont S., Reymond A., Zufferey F., Harewood L., Walters R.G., Kutalik Z., Martinet D., Shen Y., Valsesia A., Beckmann N.D. et al., 2011. Nature, 478 (7367) pp. 97-102.
[URN][DOI][WoS][Pmid][serval:BIB_9700E363D9A2]
 
Novel method to estimate the phenotypic variation explained by genome-wide association studies reveals large fraction of the missing heritability.
Kutalik Z., Whittaker J., Waterworth D., GIANT consortium, Beckmann J.S., Bergmann S., 2011. Genetic Epidemiology, 35 (5) pp. 341-349.
[DOI][WoS][Pmid][serval:BIB_EE565D42F520]
Physical activity attenuates the influence of FTO variants on obesity risk: a meta-analysis of 218,166 adults and 19,268 children.
Kilpeläinen T.O., Qi L., Brage S., Sharp S.J., Sonestedt E., Demerath E., Ahmad T., Mora S., Kaakinen M., Sandholt C.H. et al., 2011. PLoS Medicine, 8 (11) pp. e1001116. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_067AD2D23F44]
Sensitivity of genome-wide-association signals to phenotyping strategy: the PROP-TAS2R38 taste association as a benchmark.
Genick U.K., Kutalik Z., Ledda M., Destito M.C., Souza M.M., Cirillo C.A., Godinot N., Martin N., Morya E., Sameshima K. et al., 2011. PLoS One, 6 (11) pp. e27745.
[URN][DOI][WoS][Pmid][serval:BIB_43F1F8FCA014]
 
SIRT1 Activates MAO-A in the Brain to Mediate Anxiety and Exploratory Drive.
Libert S., Pointer K., Bell E.L., Das A., Cohen D.E., Asara J.M., Kapur K., Bergmann S., Preisig M., Otowa T. et al., 2011. Cell, 147 (7) pp. 1459-1472. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_EE2F3C143CBD]
 
The evolution of gene expression levels in mammalian organs.
Brawand D., Soumillon M., Necsulea A., Julien P., Csárdi G., Harrigan P., Weier M., Liechti A., Aximu-Petri A., Kircher M. et al., 2011. Nature, 478 (7369) pp. 343-348.
[DOI][WoS][Pmid][serval:BIB_82F2C6964F5B]
Using transcription modules to identify expression clusters perturbed in Williams-Beuren syndrome.
Henrichsen C.N., Csárdi G., Zabot M.T., Fusco C., Bergmann S., Merla G., Reymond A., 2011. PLoS Computational Biology, 7 (1) pp. e1001054. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_BAF4351682CD]
 
Variant within the promoter region of the CHRNA3 gene associated with FTN dependence is not related to self-reported willingness to quit smoking.
Marques-Vidal P., Kutalik Z., Paccaud F., Bergmann S., Waeber G., Vollenweider P., Cornuz J., 2011. Nicotine and Tobacco Research, 13 (9) pp. 833-839. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_2DFB9200F3C3]
 
Variant within the promoter region of the CHRNA3 gene associated with nicotine dependance is not related to willingness to quit smoking.
Marques-Vidal Pedro Manuel, Kutalik Zoltan, Paccaud Fred, Bergmann Sven, Waeber Gérard, Vollenweider Peter, Cornuz Jacques, 2011. pp. S40 dans EuroPRevent Congress, Geneva, Switzerland, 14-16 April 2011, European Journal of Cardiovascular Prevention and Rehabilitation. Peer-reviewed.
[serval:BIB_3C314C0404B0]
Variant within the promoter region of the CHRNA3 gene associated with nicotine dependence is not related to willingness to quit smoking.
Marques-Vidal Pedro Manuel, Kutalik Zoltan, Paccaud Fred, Bergmann Sven, Waeber Gérard, Vollenweider Peter, Cornuz Jacques, 2011. p. 19 dans Cardiovascular and Metabolic Disorders, FBM Research Day, January 27, 2011, FBM Research Day, Université de Lausanne, Faculté de biologie et de médecine.
[URN][serval:BIB_744935705381]
2010
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index.
Speliotes E.K., Willer C.J., Berndt S.I., Monda K.L., Thorleifsson G., Jackson A.U., Lango Allen H., Lindgren C.M., Luan J., Mägi R. et al., 2010/11. Nature genetics, 42 (11) pp. 937-948. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_EECD3DE17F7A]
 
Four novel Loci (19q13, 6q24, 12q24, and 5q14) influence the microcirculation in vivo.
Ikram M.K., Sim X., Xueling S., Jensen R.A., Cotch M.F., Hewitt A.W., Ikram M.A., Wang J.J., Klein R., Klein B.E. et al., 2010/10. Plos Genetics, 6 (10) pp. e1001184.
[DOI][WoS][Pmid][serval:BIB_E7F8CE13378B]
Genome-wide meta-analysis for serum calcium identifies significantly associated SNPs near the calcium-sensing receptor (CASR) gene.
Kapur K., Johnson T., Beckmann N.D., Sehmi J., Tanaka T., Kutalik Z., Styrkarsdottir U., Zhang W., Marek D., Gudbjartsson D.F. et al., 2010/07/22. PLoS genetics, 6 (7) pp. e1001035. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_A16A030D2C1D]
A new highly penetrant form of obesity due to deletions on chromosome 16p11.2.
Walters R.G., Jacquemont S., Valsesia A., de Smith A.J., Martinet D., Andersson J., Falchi M., Chen F., Andrieux J., Lobbens S. et al., 2010/02/04. Nature, 463 (7281) pp. 671-675. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_779A2B29ACBA]
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk.
Dupuis J., Langenberg C., Prokopenko I., Saxena R., Soranzo N., Jackson A.U., Wheeler E., Glazer N.L., Bouatia-Naji N., Gloyn A.L. et al., 2010/02. Nature genetics, 42 (2) pp. 105-116. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_68555FB264D9]
 
Common variants in the ATP2B1 gene are associated with susceptibility to hypertension: the Japanese Millennium Genome Project.
Tabara Y., Kohara K., Kita Y., Hirawa N., Katsuya T., Ohkubo T., Hiura Y., Tajima A., Morisaki T., Miyata T. et al., 2010. Hypertension, 56 (5) pp. 973-980. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_95F8890DDD43]
EuroDia: a beta-cell gene expression resource.
Liechti R., Csárdi G., Bergmann S., Schütz F., Sengstag T., Boj S.F., Servitja J.M., Ferrer J., Van Lommel L., Schuit F. et al., 2010. Database, 2010 pp. baq024.
[URN][DOI][Pmid][serval:BIB_0D9E4ED81B05]
ExpressionView--an interactive viewer for modules identified in gene expression data.
Lüscher Andreas, Csárdi Gabor, de Lachapelle Aitana Morton, Kutalik Zoltan, Peter Bastian, Bergmann Sven, 2010. Bioinformatics, 26 (16) pp. 2062-2063.
[URN][DOI][WoS][Pmid][serval:BIB_98C61FF8DB9F]
FastEpistasis: a high performance computing solution for quantitative trait epistasis.
Schüpbach T., Xenarios I., Bergmann S., Kapur K., 2010. Bioinformatics, 26 (11) pp. 1468-1469.
[URN][DOI][WoS][Pmid][serval:BIB_CC4EF3D71E98]
 
Genetic variation in IL28B is associated with chronic hepatitis C and treatment failure: a genome-wide association study.
Rauch A., Kutalik Z., Descombes P., Cai T., Di Iulio J., Mueller T., Bochud M., Battegay M., Bernasconi E., Borovicka J. et al., 2010. Gastroenterology, 138 (4) pp. 1338-45, 1345.e1-7. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_0243EEF97C35]
 
Genome-wide association study identifies new HLA class II haplotypes strongly protective against narcolepsy.
Hor H., Kutalik Z., Dauvilliers Y., Valsesia A., Lammers G.J., Donjacour C.E., Iranzo A., Santamaria J., Peraita Adrados R., Vicario J.L. et al., 2010. Nature Genetics, 42 (9) pp. 786-789.
[DOI][WoS][Pmid][serval:BIB_CFB40FFC4F99]
Global transcriptional programs in peripheral nerve endoneurium and DRG are resistant to the onset of type 1 diabetic neuropathy in Ins2 mice.
de Preux Charles A.S., Verdier V., Zenker J., Peter B., Médard J.J., Kuntzer T., Beckmann J.S., Bergmann S., Chrast R., 2010. Plos One, 5 (5) pp. e10832. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_91FD99554B4D]
 
Hundreds of variants clustered in genomic loci and biological pathways affect human height.
Lango Allen H., Estrada K., Lettre G., Berndt S.I., Weedon M.N., Rivadeneira F., Willer C.J., Jackson A.U., Vedantam S., Raychaudhuri S. et al., 2010. Nature, 467 (7317) pp. 832-838. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_AD5207EA1C25]
Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution.
Heid I.M., Jackson A.U., Randall J.C., Winkler T.W., Qi L., Steinthorsdottir V., Thorleifsson G., Zillikens M.C., Speliotes E.K., Mägi R. et al., 2010. Nature Genetics, 42 (11) pp. 949-960. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_0DA88425D5DD]
Modular analysis of gene expression data with R.
Csárdi G., Kutalik Z., Bergmann S., 2010. Bioinformatics, 26 (10) pp. 1376-1377.
[URN][DOI][WoS][Pmid][serval:BIB_2D3E82E26A25]
 
No interaction between alcohol consumption and HDL-related genes on HDL cholesterol levels.
Marques-Vidal Pedro, Bochud Murielle, Paccaud Fred, Waterworth Dawn, Bergmann Sven, Preisig Martin, Waeber Gérard, Vollenweider Peter, 2010. Atherosclerosis, 211 (1) pp. 551-557. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_0C76E908E3B0]
 
No interaction between alcohol consumption and selected HDL-related genes on HDL levels
Marques-Vidal Pedro Manuel, Bochud Murielle, Paccaud Fred, Waterworth Dawn M., Bergmann Sven, Preisig Martin, Waeber Gérard, Vollenweider Peter, 2010. pp. S30 dans EuroPRrevent Congress, Prague, Czech Republic, 5-7 May 2010, European Journal of Cardiovascular Prevention and Rehabilitation.
[URN][DOI][serval:BIB_02D5DC6B6002]
Precision and scaling in morphogen gradient read-out.
de Lachapelle Aitana Morton, Bergmann Sven, 2010. Molecular Systems Biology, 6 p. 351.
[URN][DOI][WoS][Pmid][serval:BIB_C6BCC0E0674B]
Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies.
Elks C.E., Perry J.R., Sulem P., Chasman D.I., Franceschini N., He C., Lunetta K.L., Visser J.A., Byrne E.M., Cousminer D.L. et al., 2010. Nature Genetics, 42 (12) pp. 1077-1085. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_1764CFBA5790]
2009
Cardiovascular response to beta-adrenergic blockade or activation in 23 inbred mouse strains.
Berthonneche C., Peter B., Schüpfer F., Hayoz P., Kutalik Z., Abriel H., Pedrazzini T., Beckmann J.S., Bergmann S., Maurer F., 2009/08/12. PloS one, 4 (8) pp. e6610. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_A6F224D4DEB1]
Genome-wide association study identifies eight loci associated with blood pressure.
Newton-Cheh C., Johnson T., Gateva V., Tobin M.D., Bochud M., Coin L., Najjar S.S., Zhao J.H., Heath S.C., Eyheramendy S. et al., 2009. Nature Genetics, 41 (6) pp. 666-676. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_BF347FE89719]
Meta-analysis of 28,141 individuals identifies common variants within five new loci that influence uric acid concentrations.
Kolz M., Johnson T., Sanna S., Teumer A., Vitart V., Perola M., Mangino M., Albrecht E., Wallace C., Farrall M. et al., 2009. PLoS genetics, 5 (6) pp. e1000504. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_EB1294600DF4]
2008
 
A modular approach for integrative analysis of large-scale gene-expression and drug-response data
Kutalik Z., Beckmann J. S., Bergmann S., 2008. Nature Biotechnology, 26 (5) pp. 531-539. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_2313B80EF6CC]
Association of ABCB1 genetic variants with renal function in Africans and in Caucasians.
Bochud M., Eap C.B., Maillard M., Johnson T., Vollenweider P., Bovet P., Elston R.C., Bergmann S., Beckmann J.S., Waterworth D.M. et al., 2008. BMC Medical Genomics, 1 (21) pp. 1-11. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_D784077998C6]
Common variants near MC4R are associated with fat mass, weight and risk of obesity.
Loos R.J., Lindgren C.M., Li S., Wheeler E., Zhao J.H., Prokopenko I., Inouye M., Freathy R.M., Attwood A.P., Beckmann J.S. et al., 2008. Nature Genetics, 40 (6) pp. 768-775. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_C6AB1518E478]
Genes mirror geography within Europe.
Novembre J., Johnson T., Bryc K., Kutalik Z., Boyko A.R., Auton A., Indap A., King K.S., Bergmann S., Nelson M.R. et al., 2008. Nature, 456 (7218) pp. 98-101. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_72893E0C11ED]
Genome-wide association analysis identifies 20 loci that influence adult height.
Weedon M.N., Lango H., Lindgren C.M., Wallace C., Evans D.M., Mangino M., Freathy R.M., Perry J.R., Stevens S., Hall A.S. et al., 2008. Nature Genetics, 40 (5) pp. 575-83. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_29A149E61622]
 
Population-based genome-wide association studies reveal six loci influencing plasma levels of liver enzymes.
Yuan X., Waterworth D., Perry J.R., Lim N., Song K., Chambers J.C., Zhang W., Vollenweider P., Stirnadel H., Johnson T. et al., 2008. American Journal of Human Genetics, 83 (4) pp. 520-528. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_97C6631CE48C]
 
Re-examining the stability of the Bicoid morphogen gradient.
Bergmann S., Tamari Z., Schejter E., Shilo B.Z., Barkai N., 2008. Cell, 132 (1) pp. 15-17; author reply 17-188. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_B87D1CD0D3E8]
2007
 
Contribution of 20 single nucleotide polymorphisms of 13 genes to dyslipidemia associated with antiretroviral therapy.
Arnedo M., Taffé P., Sahli R., Furrer H., Hirschel B., Elzi L., Weber R., Vernazza P., Bernasconi E., Darioli R. et al., 2007. Pharmacogenetics and Genomics, 17 (9) pp. 755-764. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_7E06BA0A2D35]
Pre-steady-state decoding of the Bicoid morphogen gradient.
Bergmann S., Sandler O., Sberro H., Shnider S., Schejter E., Shilo B.Z., Barkai N., 2007. PLoS Biology, 5 (2) pp. e46. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_0D544D14E637]
2006
 
Common and divergent roles for members of the mouse DCX superfamily
Coquelle F. M., Levy T., Bergmann S., Wolf S. G., Bar-El D., Sapir T., Brody Y., Orr I., Barkai N., Eichele G. et al., 2006/05. Cell Cycle, 5 (9) pp. 976-83.
[WoS][Pmid][serval:BIB_2C0CDE66213A]
 
Mechanism of the anti-inflammatory effect of colchicine in rheumatic diseases: a possible new outlook through microarray analysis
Ben-Chetrit E., Bergmann S., Sood R., 2006/03. Rheumatology, 45 (3) pp. 274-82.
[DOI][WoS][Pmid][serval:BIB_4B48DFC7887F]
The evolving doublecortin (DCX) superfamily.
Reiner O., Coquelle F.M., Peter B., Levy T., Kaplan A., Sapir T., Orr I., Barkai N., Eichele G., Bergmann S., 2006. BMC Genomics, 7 p. 188. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_3F36A15394C6]
2005
 
Rewiring of the yeast transcriptional network through the evolution of motif usage
Ihmels J., Bergmann S., Gerami-Nejad M., Yanai I., McClellan M., Berman J., Barkai N., 2005/08. Science, 309 (5736) pp. 938-40.
[DOI][WoS][Pmid][serval:BIB_352C6A252FA2]
 
Comparative genome hybridization reveals widespread aneuploidy in Candida albicans laboratory strains
Selmecki A., Bergmann S., Berman J., 2005/03. Molecular Microbiology, 55 (5) pp. 1553-65.
[DOI][WoS][Pmid][serval:BIB_D2C0449BDFD7]
Comparative gene expression analysis by differential clustering approach: application to the Candida albicans transcription program.
Ihmels J., Bergmann S., Berman J., Barkai N., 2005. PLoS Genetics, 1 (3) pp. e39. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_CC59E72FAD7B]
2004
 
Challenges and prospects in the analysis of large-scale gene expression data
Ihmels J. H., Bergmann S., 2004/12. Briefings in Bioinformatics, 5 (4) pp. 313-27.
[DOI][WoS][Pmid][serval:BIB_5AB602CCBA3C]
 
Defining transcription modules using large-scale gene expression data
Ihmels J., Bergmann S., Barkai N., 2004/09. Bioinformatics, 20 (13) pp. 1993-2003.
[DOI][WoS][Pmid][serval:BIB_DB3A0DD163FB]
Similarities and differences in genome-wide expression data of six organisms.
Bergmann S., Ihmels J., Barkai N., 2004. PLoS Biology, 2 (1) pp. E9. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_228BF88426DE]
2003
 
Iterative signature algorithm for the analysis of large-scale gene expression data.
Bergmann S., Ihmels J., Barkai N., 2003. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics, 67 (3 Pt 1) p. 031902. Peer-reviewed.
[Pmid][serval:BIB_7B68A1D64813]
2002
 
Revealing modular organization in the yeast transcriptional network
Ihmels J., Friedlander G., Bergmann S., Sarig O., Ziv Y., Barkai N., 2002/08. Nature Genetics, 31 (4) pp. 370-7.
[DOI][WoS][Pmid][serval:BIB_FFA16176D4F3]
 
Generic smooth connection functions: a new analytic approach to Hermite interpolation
Alon Alex, Bergmann Sven, 2002. Journal of Physics A: Mathematical and General, 35 (17) pp. 3877-3898. Peer-reviewed.
[DOI][serval:BIB_F1DCF9651E87]
2001
 
Constraining models of new physics in light of recent experimental results on a_{ψK_{S}}
Bergmann Sven, Perez Gilad, 2001. Physical Review D, 64 (11) p. 10. Peer-reviewed.
[DOI][serval:BIB_466686233461]
2000
 
Can lepton flavor violating interactions explain the atmospheric neutrino problem?
Bergmann Sven, Grossman Yuval, Pierce Damien, 2000. Physical Review D, 61 (5) p. 12. Peer-reviewed.
[DOI][serval:BIB_0F429BA84793]
 
Lessons from CLEO and FOCUS measurements of mixing parameters
Bergmann S., Grossman Y., Ligeti Z., Nir Y., Petrov A.A., 2000. Physics Letters B, 486 (3-4) pp. 418-425. Peer-reviewed.
[DOI][serval:BIB_48202B86006A]
 
Status of the solution to the solar neutrino problem based on nonstandard neutrino interactions
Bergmann S., Guzzo M., de Holanda P., Krastev P., Nunokawa H., 2000. Physical Review D, 62 (7) p. 11. Peer-reviewed.
[DOI][serval:BIB_3D840C50710F]
1999
 
Can lepton flavor violating interactions explain the LSND results?
Bergmann Sven, Grossman Yuval, 1999. Physical Review D, 59 (9) p. 13. Peer-reviewed.
[DOI][serval:BIB_F14211DC9FE9]
 
Neutrino propagation in matter with general interactions
Bergmann Sven, Grossman Yuval, Nardi Enrico, 1999. Physical Review D, 60 (9) p. 14. Peer-reviewed.
[DOI][serval:BIB_B2234E495B98]
 
Z-induced FCNC's and their effects on neutrino oscillations
Bergmann Sven, Kagan Alex, 1999. Nuclear Physics B, 538 (1-2) pp. 368-386. Peer-reviewed.
[DOI][serval:BIB_55E67E661650]
1998
 
The solar neutrino problem in the presence of flavor-changing neutrino interactions
Bergmann Sven, 1998. Nuclear Physics B, 515 (1-2) pp. 363-383. Peer-reviewed.
[DOI][serval:BIB_85F6BDE87F91]
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