Laboratory for statistical genetics
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- Student Worker (medical and psychology students, up to 20 h/week, combination with doctoral thesis possible)
- Start: as soon as possible
- Application due: open until filled
Stephan Ripke, MD, PhD (CV)
Since the early days of my medical training I have an interest and pursue computational methods in genetic research. The rare combination of strong computational and statistical background with medical / clinical training allows me to execute all necessary steps from receiving raw genotypic data, via all necessary computational steps (QC, imputation, meta-analysis, PCA, etc) up to drawing medical/clinical conclusions from the results.
Moreover during the recent years, leading most statistical analyses of the Psychiatric Genomics Consortium – the biggest collaborative experiment in psychiatric genetics - I developed a strong sense for the requirements of the near future to continue our overwhelming success. It is my conviction that collecting new psychiatric individuals and healthy, matched controls with the possibility to recontact is one of the most valuable contributions to further progress in psychiatric research.
While keeping my central position at the Psychiatric Genomics Consortium I recently moved to Berlin, a major capital of the world without a sizable psychiatric dataset collection.
For further details please see CV.
Please also see BBRF award video.
- Dr. med. / M.D., Magna Cum Laude, University of Hamburg, Germany 2001
- Theodor Reich Young Investigator Award of the International Society of Psychiatric Genetics. 2013 (page 15)
- The Sidney R. Baer, Jr., Prize of the Brain & Behavior Research Foundation 2014
- Ph. D., Cum Laude, Utrecht University, Netherlands 2014
- Paper of the Year, International Society of Psychiatric Genetics. WCPG, Toronto 2015
5U01MH094432-02 (Daly, PI) 05/10/12 -03/31/16
2/3 Psychiatric GWAS Consortium: Genomic Followup Next Gen Sequencing and Genotyping
The aims of this proposal are to build on the already successful Psychiatric GWAS consortium's efforts aggregating genetic data for psychiatric illness. As additional work in the community is being conducted that expands the GWAS data and is beginning to generate sequencing data, further work is necessary to ensure that maximal value is extracted from these combined efforts.
NARSAD YOUNG Investigator Grant 2015
Stanley Center Spende 2015
Publications Summary (Feb. 2016)
- Authors:Franke B*, Stein JL*, Ripke S*, et al.
Journal:Nat Neurosci Year:2016; Volume:19Issue:(3):Pages:420-31.
Title:Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept
- Authors:Ripke S, Schizophrenia Working Group of the Psychiatric Genomics Consortium, et alJournal:Nature Year:2014; Volume:511Issue:(7510):Pages:421-7.
- Authors:Ruderfer DM*, Fanous AH*, Ripke S*, et al
Journal:Mol Psychiatry Year:2014; Volume:19Issue:(9):Pages:1017-24.
Title:Polygenic dissection of diagnosis and clinical dimensions of bipolar disorder and schizophrenia
- Authors:Ripke S*, O Dushlaine C*, et alJournal:Nat Genet Year:2013; Volume:45Issue:(10):Pages:1150-9.
- Authors:Lee SH, Ripke S, Cross-Disorder Group of the Psychiatric Genomics Consortium, et alJournal:Nat Genet Year:2013; Volume:45Issue:(9):Pages:984-94.
- Authors:Smoller JW*, Ripke S*, Cross-Disorder Group of the Psychiatric Genomics Consortium, et al
Journal:Lancet Year:2013; Volume:381Issue:(9875):Pages:1371-9.
Title:Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis
- Authors:Ripke S*, Wray NR*, Major Depressive Disorder Working Group of the Psychiatric GWAS Consortium, et alJournal:Mol Psychiatry Year:2013; Volume:18Issue:(4):Pages:497-511.
- Authors:Ripke S, Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium, et alJournal:Nat Genet Year:2011; Volume:43Issue:(10):Pages:969-76.
- Authors:Sklar P, Ripke S, Psychiatric GWAS Consortium Bipolar Disorder Working Group, et al
Journal:Nat Genet Year:2011; Volume:43Issue:(10):Pages:977-83.
Title:Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4
- Authors:Locke AE, Kahali B, Berndt SI, [ ... ], Ripke S, et alJournal:Nature Year:2015; Volume:518Issue:(7538):Pages:197-206.
- Authors:Bulik-Sullivan BK, Loh PR, Finucane HK, Ripke S, et al
Journal:Nat Genet Year:2015; Volume:47Issue:(3):Pages:291-5.
Title:LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
- Authors:Betz RC*, Petukhova L*, Ripke S*, et al
Journal:Nat Commun Year:2015; Volume:6:Pages:5966.
Title:Genome-wide meta-analysis in alopecia areata resolves HLA associations and reveals two new susceptibility loci
- Authors:Goris A*, van Setten J*, Diekstra F*, Ripke S*, et al
Journal:Hum Mol Genet Year:2014; Volume:23Issue:(7):Pages:1916-22.
Title:No evidence for shared genetic basis of common variants in multiple sclerosis and amyotrophic lateral sclerosis
- Authors:Jostins L*, Ripke S*, et alJournal:Nature Year:2012; Volume:491Issue:(7422):Pages:119-24.
- Authors:Pereyra F, Jia X, McLaren PJ, Telenti A, de Bakker PI, Walker BD, Ripke S, International HIV Controllers Study, et alJournal:Science Year:2010; Volume:330Issue:(6010):Pages:1551-7.
- Authors:Aulchenko YS, Ripke S, Isaacs A, van Duijn CMJournal:Bioinformatics Year:2007; Volume:23Issue:(10):Pages:1294-6.