David Daniel Rico Sarvenaz Zóltan.

Slides:



Advertisements
Similar presentations
Which Phenotypes Can be Predicted from a Genome Wide Scan of Single Nucleotide Polymorphisms (SNPs): Ethnicity vs. Breast Cancer Mohsen Hajiloo, Russell.
Advertisements

SNP Applications statwww.epfl.ch/davison/teaching/Microarrays/snp.ppt.
Perspectives from Human Studies and Low Density Chip Jeffrey R. O’Connell University of Maryland School of Medicine October 28, 2008.
Modeling genetic and phenotypic data with the use of statistics Discovery of phenotypes influenced by the season of birth Can environment modify genetic.
A genome-wide perspective of genetic variation in human metabolism Thomas Illig, Christian Gieger, Guangju Zhai, Werner Römisch-Margl, Rui Wang-Sattler,
Biomedical Master Introduction to genome-wide association studies Metabolic diseases (B. Thorens) Biomedical Master: Metabolic diseases Lausanne, November.
Computational Tools for Finding and Interpreting Genetic Variations Gabor T. Marth Department of Biology, Boston College
Biomedical Master Introduction to genome-wide association studies Metabolic diseases (B. Thorens) Biomedical Master: Metabolic diseases Lausanne, October.
MSc GBE Course: Genes: from sequence to function Genome-wide Association Studies Sven Bergmann Department of Medical Genetics University of Lausanne Rue.
Chapter 5 Human Heredity by Michael Cummings ©2006 Brooks/Cole-Thomson Learning Chapter 5 Complex Patterns of Inheritance.
Give me your DNA and I tell you where you come from - and maybe more! Lausanne, Genopode 21 April 2010 Sven Bergmann University of Lausanne & Swiss Institute.
Strong Heart Family Study Phase VI Genetics Center Aims October 8, 2009.
Molecular and Genetic Epidemiology Kathryn Penney, ScD January 5, 2012.
Doug Brutlag 2011 Genomics & Medicine Doug Brutlag Professor Emeritus of Biochemistry &
Chapter 25 Chapter 25 Genetic Determinants of Osteoporosis Copyright © 2013 Elsevier Inc. All rights reserved.
©Edited by Mingrui Zhang, CS Department, Winona State University, 2008 Identifying Lung Cancer Risks.
PTC - Can you taste bitter? Internet Link – ScienceNow Picky Eaters Video V: Drive Link – ScienceNow Picky Eaters Video.
GWAS Hits and Functional Implications Peter Castaldi February 1, 2013.
Online Mendelian Inheritance in Man (OMIM): What it is & What it can do for you Knowledge Management & Eskind Biomedical Library January 27, 2012 helen.
Announcements: Proposal resubmission deadline 4/23 (Thursday).
Quantitative Genetics. Continuous phenotypic variation within populations- not discrete characters Phenotypic variation due to both genetic and environmental.
Quantitative Genetics
Personalized Medicine Dr. M. Jawad Hassan. Personalized Medicine Human Genome and SNPs What is personalized medicine? Pharmacogenetics Case study – warfarin.
Linkage. Announcements Problem set 1 is available for download. Due April 14. class videos are available from a link on the schedule web page, and at.
Linkage. Announcements Problem set 1 is available for download. Due April 14. class videos are available from a link on the schedule web page, and at.
1 Finding disease genes: A challenge for Medicine, Mathematics and Computer Science Andrew Collins, Professor of Genetic Epidemiology and Bioinformatics.
Armenian Genome Project
Institute of Social and Preventive Medicine, University of Lausanne
SNPs and complex traits: where is the hidden heritability?
Genomic Analysis: GWAS
Peng Yin1, Andrea L Jorgensen1, Andrew P Morris1, Richard Turner2, Richard Fitzgerald2, Rod Stables3, Anita Hanson2, Munir Pirmohamed2 1. Department of.
Common variation, GWAS & PLINK
Genetic Variation Genetic Variation in Populations
Figure 2. Regional plots and box plots for gene ABO top cis-SNPs whose signal was not attenuated after adjusting for the lead GWAS SNPs. (A) Observed −log10(P)
Pharmacogenomics Identification of genes variants that influence drug effects. Is it possible to predict the effect of a drug in a certain patient? Pharmacogenetics/genomics.
What should be in your SNPedia write-up?
Introduction to bioinformatics lecture 11 SNP by Ms.Shumaila Azam
Integrated Metabolomics and Genomics
Gene Hunting: Design and statistics
Case Study #2 Session 1, Day 3, Liu
Detection of the footprint of natural selection in the genome
High level GWAS analysis
Epidemiology 101 Epidemiology is the study of the distribution and determinants of health-related states in populations Study design is a key component.
Power to detect QTL Association
MULTIPLE GENES AND QUANTITATIVE TRAITS
Relationship between Genotype and Phenotype
Genome-wide Associations
Beyond GWAS Erik Fransen.
By Michael Fraczek and Caden Boyer
In these studies, expression levels are viewed as quantitative traits, and gene expression phenotypes are mapped to particular genomic loci by combining.
Chapter 7 Multifactorial Traits
Exercise: Effect of the IL6R gene on IL-6R concentration
Elliott P, et al. JAMA 2009;302:37-48.
Genetics of Human Cardiovascular Disease
Beyond Mendel Matters of Sex Types of Tests
Osteoarthritis year 2012 in review: genetics and genomics
A systems view of genetics in chronic kidney disease
Chapter 7 Beyond alleles: Quantitative Genetics
Perspectives from Human Studies and Low Density Chip
Presentation by: Hannah Mays UCF - BSC 4434 Professor Xiaoman Li
PTC – Cell Signaling, genetics, and Evolution
Jonathan K. Pritchard, Joseph K. Pickrell, Graham Coop  Current Biology 
Volume 377, Issue 9766, Pages (February 2011)
Natural selection in populations & Other mechanisms of Evolution
Fig. 2 Genotype-induced differential gene expression is different in MDMi cells compared to monocytes. Genotype-induced differential gene expression is.
10.2 Inheritance Skills: Calculation of the predicted genotypic and phenotypic ratio of offspring of dihybrid crosses involving unlinked autosomal genes.
Osteoarthritis year 2012 in review: genetics and genomics
Volume 9, Issue 7, Pages (July 2016)
Pharmacogenomics Identification of genes variants that influence drug effects. Is it possible to predict the effect of a drug in a certain patient? Pharmacogenetics/genomics.
Amanda L. Tapia Department of Biostatistics
Presentation transcript:

David Daniel Rico Sarvenaz Zóltan

Genetic variation in SNPs (Single Nucleotide Polymorphisms) ATTGCAATCCGTGG...ATCGAGCCA…TACGATTGCACGCCG… ATTGCAAGCCGTGG...ATCTAGCCA…TACGATTGCAAGCCG… ATTGCAATCCGTGG...ATCTAGCCA…TACGATTGCACGCCG… ATTGCAAGCCGTGG...ATCGAGCCA…TACGATTGCACGCCG… Une fois ce catalogue génétique établi, nous trouvons des différences entre individus au niveau de l'ADN comme indiqué par les lettres de couleurs différentes En zoomant sur la séquence d’ADN, on peut voir des différences entre individus.

Phenotypic variation:

Association with genotype chromosome SNPs trait variant Population with ‘ ’ allele Distributions of “trait”

Association using regression phenotype genotype Coded genotype

Genome-wide Association Studies P A significance Chromosomal position

Published Genome-Wide Associations (at p≤5x10-8 for 18 trait categories) NHGRI GWA Catalog www.genome.gov/GWAStudies www.ebi.ac.uk/fgpt/gwas/

How can we make use of all the GWAS results to better predict disease risk and learn about disease mechanisms?

How could our models become more predictive? Need BLACKBOX!

Towards a layered Systems Model We need intermediate (molecular) phenotypes to better understand organismal phenotypes

An integrated analysis framework p m P M

High throughput methods generating molecular phenotypes Sequence-based: 10000s of genes 100000s of variants 1000000s of elements 1000s of features 100s of compounds Spectroscopy-based:

CoLaus Metabolomics Study ~1000 urine samples (from genotyped individuals) ~2000 NMR shifts Bruker 16.4T 700MHz

NMR produces a spectral fingerprint for any chemical compound signal intensity [a.u.] Chemical shift [in ppm of the resonance frequency]

… and convoluted spectra for chemical substances signal intensity [a.u.] Chemical shift [in ppm of the resonance frequency]

Targeted Metabolomics de-convolutes these spectra for a limited number of compounds Measured spectral intensity Estimated concentration Highly non-trivial mostly proprietary solutions ~2000 NMR shifts ~100 compounds

Untargeted approach: GWAS with all NMR features Significant SNP-feature Associations significance Chromosomal position

Many NMR features have very significant associations significance Chromosomal position

3D Manhattan plot

Two extremely strong associations point to novel loci

Two extremely strong associations point to novel loci

But what compound is linked to a particular SNP? Compare with NMR spectra of pure compounds Metabomatching Plot significance for all NMR features for a given SNP Significance

Our novel compound-locus associations make biological sense Solute Carrier Light Chain Family 7, Member 9 (Glycoprotein-Associated Amino Acid Transporter) Fucosyltransferase 2 Lysine Fucose

TasteSensomics Cohort Replicates >40% of the CoLaus associations Initiator CHUV / GSK Nestle Research Center Sample size 835 601 NMR device Bruker 16.4T 700MHz Bruker Avance II 600MHz Population Lausanne São Paulo Ethnicity Caucasian Admixed Discovery 139 (P<5x10‑8) Replication 56 (P<0.05/139)

… despite different populations TasteSensomics: Admixed CoLaus: Caucasian Observed effects are likely to be ethnicity-independent, and robust against variations of diet and other environmental factors

Clinical implications: FUT2 …

Clinical implications: SLC7A9 … CoLaus