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  • ...ecent years our primary focus has been on genome-wide association studies (GWAS) that link genetic variants, such ...nismal traits. The group develops and applies innovative tools for linking association signals
    4 KB (604 words) - 12:28, 18 September 2023
  • <newstitle> First GWAS on Drosophila height published </newstitle> ...ect to identify natural variants impacting size in Drosophila. We found an association in the kek1 locus, a well-characterized growth regulator. Additionally 33 n
    5 KB (794 words) - 17:57, 22 May 2021
  • '''Goal''': The goal of the project is to perform a genome-wide association study that will potentially identify SNPs that are related to “alcohol co '''References''': see [[Genome Wide Association Studies]]
    5 KB (722 words) - 09:03, 17 April 2009
  • '''Goal''': The goal of the project is to perform a genome-wide association study that will potentially identify SNPs that are related to tobacco consu '''References''': see [[Genome Wide Association Studies]]
    5 KB (739 words) - 09:03, 17 April 2009
  • ...ic repositories is always useful, before embarking on focused [[Functional studies]]. ** 16/09 11:00-12:00 [[Genomic studies: theory]] 1 (CR) ([[Media:Carlo_Rivolta_Master09-class1.pdf]])
    3 KB (376 words) - 18:12, 30 October 2009
  • We offer projects on [[Genome Wide Association Studies]] (GWAS). These studies search for correlations between genetic markers (usually Single Nucleotide ...students will gain first experience with the “standard” protocols for GWAS:
    5 KB (711 words) - 15:08, 14 September 2009
  • '''My contribution''': Lecture on [[Genome Wide Association Studies]] (GWAS) [[Media:Slides_SB.ppt]]
    210 bytes (23 words) - 16:02, 28 September 2010
  • === Classical GWAS studies === ...jor focus of the lab is the development of new methods for the analysis of GWAS-related data, including:
    14 KB (2,112 words) - 15:26, 12 October 2020
  • ...etabolomics data, within the framework of genome-wide association studies (GWAS). We are interested in network-based and modular approaches to visualize su
    4 KB (634 words) - 12:33, 23 June 2020
  • * 10:15-12:00 lecture on Lecture on [[Genome Wide Association Studies]] (GWAS) [[Media:GWAS_lecture_SB.ppt]]
    296 bytes (34 words) - 11:44, 10 March 2011
  • '''My contribution''': Lecture on [[Genome Wide Association Studies]] (GWAS) [[Media:Slides_Experimental_Design_2010_SB.ppt]]
    295 bytes (32 words) - 16:23, 28 September 2010
  • ...0 16:15-17:00 Introductory lecture on [[Genome Wide Association Studies]] (GWAS) [[Media:GWAS_lecture__Nov_2010_SB.ppt]]
    407 bytes (43 words) - 21:29, 9 November 2011
  • ...ociation Studies]], [[Media: McCarthy_review_GWAS.pdf ]], [[GIANT_height | GWAS papers]]
    2 KB (264 words) - 08:49, 27 May 2011
  • '''Background''': Large studies (including hundreds of thousands of individuals) identified genetic factors ...ociation Studies]], [[Media: McCarthy_review_GWAS.pdf ]], [[GIANT_height | GWAS papers]]
    2 KB (232 words) - 16:55, 23 March 2011
  • '''Goal''': The aim of this project is to conduct a genome-wide association study of the allostatic load in the population-based CoLaus study. The stud ...cludes 6184 Caucasian participants, a large proportion of whom have genome-wide genetic data (Affymetrix 500K chip).
    2 KB (348 words) - 15:14, 30 March 2011
  • <newstitle>Novel method to estimate explained variance of GWAS hits reveals large fraction of the missing heritability</newstitle> ...to the most recent GIANT association summary statistics and revealed that GWAS hits explain at least 30% of human height variations. The article appeared
    2 KB (369 words) - 17:07, 20 August 2012
  • ...1 10:15-11:15 Introductory lecture on [[Genome Wide Association Studies]] (GWAS) [[Media:GWAS_lecture__Nov_2011_SB.ppt]]
    430 bytes (46 words) - 23:56, 7 November 2014
  • ...e-wide-association signals to phenotyping strategy: the PROP-TAS2R38 taste association as a benchmark.'' PLoS ONE 2011;6(11):e27745. Epub 2011 Nov 23. ...ociation Studies]], [[Media: McCarthy_review_GWAS.pdf ]], [[GIANT_height | GWAS papers]]
    2 KB (204 words) - 17:32, 22 February 2012
  • '''Background''': Large studies (including hundreds of thousands of individuals) identified genetic factors Three studies are made using linear and logistic regression to analyse:
    7 KB (1,091 words) - 18:24, 1 June 2012
  • ...creating enormous amounts of data. While genome-wide association studies (GWAS) have already successfully revealed new candidate loci that potentially aff ...ny cohorts, but efficient methods to integrate these data into association studies are still missing. We propose to adapt and extend the modular technologies
    26 KB (3,764 words) - 13:03, 25 January 2014

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