CARe: The NHLBI’s Candidate Gene Association Resource.

Slides:



Advertisements
Similar presentations
Lecture 2 Strachan and Read Chapter 13
Advertisements

YOUR CHOLESTEROL WHY DO YOU CARE? WHAT YOU CAN DO !
- D A N I S H A G I N G R E S E A R C H C E N T E R - Genetic and Molecular Determinants of Human Ageing and Longevity - DNA repair, pro-
Genetic contributions to complex traits in a post genomewide era Nic Timpson ALSPAC – The first 21 years conference 2012.
Analysis of imputed rare variants
Advances in Lipid Management. The National Cholesterol Education Program (NCEP)  Launched by National Heart, Lung, and Blood Institute (NHLBI), a part.
What is an association study? Define linkage disequilibrium
SHI Meng. Abstract The genetic basis of gene expression variation has long been studied with the aim to understand the landscape of regulatory variants,
NHLBI Strategic Visioning Process: Charting Our Future Together
Maryam Nazir. Personal Genomics:  Branch of genomics concerned with the sequencing and analysis of the genome of an individual  Once sequenced, it can.
CaRE Center Informatics NHLBI CaRE Center Meeting Bethesda, MD July 25, 2006 Marcia Nizzari.
Jackson Heart Study Sonja R. Fuqua, PhD, RN
Perspectives from Human Studies and Low Density Chip Jeffrey R. O’Connell University of Maryland School of Medicine October 28, 2008.
Pharmacogenomic Evaluation of Antihypertensive Responses (PEAR) KEY INVESTIGATORS University of Florida Emory University Mayo Clinic Julie Johnson (PI)
Absolute cardiovascular disease risk Assessment and Early Intervention Dr Michael Tam Lecturer in Primary Care
Women’s Health Initiative Scientific Symposium May
DIET AND HDL COMPOSITION Michelle Averill PhD….. HDL Proteome and Diet Date Independent Identification of all Proteins Detectable on HDL Diet Study –
Candidate Gene Resource Steering Committee Meeting July 25, 2006.
The Pursuit of Better Medicines through Genetic Research Terri Arledge, DVM US Department Head Drug Development Genetics.
Building a research career on ancillary studies Kirsten Bibbins-Domingo, PhD, MD Associate Professor of Medicine and of Epidemiology and Biostatistics.
SNPs DNA differs between humans by 0.1%, (1 in 1300 bases) This means that you can map DNA variation to around 10,000,000 sites in the genome Almost all.
SNP Resources: Finding SNPs Databases and Data Extraction Mark J. Rieder, PhD SeattleSNPs Variation Workshop March 20-21, 2006.
Study Design Discussion The Ghost of Candidate Gene Past and the Ghost of Genome-wide Association Yet to Come Stephen S. Rich, Ph.D. Wake Forest University.
Andrew Singleton Molecular Genetics Section Laboratory of Neurogenetics National Institute on Aging Andrew Singleton, Chief of the.
Course Overview Personalized Medicine: Understanding Your Own Genome Fall 2014.
DG-031-CV-301 Coronary Artery Disease and Leukotriene Gene Markers.
The International HapMap Project: Ethical, Social, and Cultural Issues [Names and institutions of presenters]
Selecting TagSNPs in Candidate Genes for Genetic Association Studies Shehnaz K. Hussain, PhD, ScM Assistant Professor Department of Epidemiology, UCLA.
Understanding Genetics of Schizophrenia
Host Genomics in WIHS  The WIHS GWAS data set  Concept Sheet  Data use agreement  Data transfer  Analytic support.
Exploring the behavioral genetics of Trade and Cooperation Arcadi Navarro and Elodie Gazave July 5th 2007.
Georgia Wiesner, MD CREC June 20, GATACAATGCATCATATG TATCAGATGCAATATATC ATTGTATCATGTATCATG TATCATGTATCATGTATC ATGTATCATGTCTCCAGA TGCTATGGATCTTATGTA.
December Cardiac Rehabilitation Are you or someone you know missing the benefits of Cardiac Rehabilitation?
Strong Heart Family Study Phase VI Genetics Center Aims October 8, 2009.
ARC Biotechnology Platform: Sequencing for Game Genomics Dr Jasper Rees
Factors to Consider in Selecting a Genotyping Platform Elizabeth Pugh June 22, 2007.
Project Office Update November 7, 2013 Jacques E Rossouw.
Rs Vanessa Burns Gene 210 SNP. rs Involved in lung vascular development and skeletogenesis PrrX1-/- mice are embryonic lethal – Cleft palate.
Data Access Pilot Project (DAPP) Mei-Hua Huang, DrPH Sharon Stein Merkin, PhD Core Directors: Gail Greendale, MD, Arun Karlamangla, PhD, MD Teresa Seema,
Use of Community Based Participatory Research (CBPR) to Develop Nutrition Programs for Chronic Disease Prevention Elena Carbone, Dr.P.H., R.D., L.D.N.
The Center for Medical Genomics facilitates cutting-edge research with state-of-the-art genomic technologies for studying gene expression and genetics,
National Heart, Lung, and Blood Institute Women’s Health Initiative Branch Jacques Rossouw, MD Chief, WHI Branch Program for Prevention and Population.
©Edited by Mingrui Zhang, CS Department, Winona State University, 2008 Identifying Lung Cancer Risks.
Data Sharing / IRB Issues Data to be shared (Raw genotypes? Summary data?) Timing of data sharing Protected time for CARE Consortium? How long? Publications.
CS177 Lecture 10 SNPs and Human Genetic Variation
Prospective Evaluation of B-type Natriuretic Peptide Concentrations and the Risk of Type 2 Diabetes in Women B.M. Everett, N. Cook, D.I. Chasman, M.C.
What host factors are at play? Paul de Bakker Division of Genetics, Brigham and Women’s Hospital Broad Institute of MIT and Harvard
Genetic Repositories Australia BACKGROUND GRA supported by an NHMRC Enabling Facility Grant awarded in  GRA supported by an NHMRC Enabling Facility.
Jianfeng Xu, M.D., Dr.PH Professor of Public Health and Cancer Biology Director, Program for Genetic and Molecular Epidemiology of Cancer Associate Director,
Polysubstance Abuse–Vulnerability Genes: Genome Scans for Association, Using 1,004 Subjects and 1,494 Single-Nucleotide Polymorphisms Uhl, Liu, Walther,
MARC Project 5: MOLECULAR EPIDEMIOLOGY OF ALCOHOLISM AND COMORBID DISORDERS Richard D. Todd, Ph.D., M.D. Blanche F. Ittleson Professor of Psychiatry Department.
Lecture 6. Functional Genomics: DNA microarrays and re-sequencing individual genomes by hybridization.
SHARe. What is WHI-SHARe? SHARe – stands for SNP Health Association Resource. It is an NHLBI program for genome-wide association studies (GWAS). GWAS.
An quick overview of human genetic linkage analysis
The International Consortium. The International HapMap Project.
Use of Data from the Electronic Medical Record in Research Opportunities & Pit Falls Kristin West.
Kathleen Giacomini, Mark J. Ratain, Michiaki Kubo, Naoyuki Kamatani, and Yusuke Nakamura NIH Pharmacogenomics Research Network III & RIKEN Center for Genomic.
Date of download: 5/29/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Further Insight Into the Cardiovascular Risk Calculator:
Low-density Lipoprotein Cholesterol, Familial Hypercholesterolemia Mutation Status, and Risk for Coronary Artery Disease Amit V. Khera, Hong-Hee Won, Gina.
Connecting World Class Science to Consumer Health Founder Teresa O’KeefeCEO Tim Davenport.
WHI Imputation. Target GWAS data WHIMS +, ~5,000-6,000 samples, Illumina Omni express GRANET, ~5,000 samples, Illumina Omni Hipfx, ~4,000-5,000 samples,
General update from UKB Meeting for scientific community, 26 June 2014, London Access: >700 researchers, >100 applications, >50 approved, >40 have data.
Integromic Analysis of Genetic Variation and Gene Expression Identifies Networks for Cardiovascular Disease PhenotypesCLINICAL PERSPECTIVE by Chen Yao,
Genome-wide Associations
Beyond GWAS Erik Fransen.
In these studies, expression levels are viewed as quantitative traits, and gene expression phenotypes are mapped to particular genomic loci by combining.
TOPMed Analysis Workshop Genetic Analysis Center Biostatistics Department University of Washington TOPMed Data Coordinating Center August 7-9, 2017 Introduction.
A Perspective on the New American College of Cardiology/American Heart Association Guidelines for Cardiovascular Risk Assessment  Iftikhar J. Kullo, MD,
Discovery From Data Repositories H Craig Mak  Nature Biotechnology 29, 46–47 (2011) 2013 /06 /10.
SNPs and CNPs By: David Wendel.
Presentation transcript:

CARe: The NHLBI’s Candidate Gene Association Resource

Candidate Gene Association Resource: CARe 4 year grant: 04/ /2010 GOAL: Cross-cohort analysis of genetic variation in important cardiovascular, lung, blood, sleep traits Genotyping of ~50,000 DNAs Phenotype collection and distribution 9 CARe cohorts

CARe Cohorts ARIC: Atherosclerosis Risk in Communities CARDIA: Coronary Artery Risk Development in Young Adults CFS: Cleveland Family Study CHS: Cardiovascular Health Study CSSCD: Cooperative Study of Sickle Cell Disease FHS: Framingham Heart Study JHS: Jackson Heart Study MESA: Multi-Ethnic Study of Atherosclerosis SHHS: Sleep Heart Health Study

Primary Affiliations of CARe Investigators

The CARe Website: Project Information

CARe : A Brief History Contract from NHLBI to Broad Institute Four year contract, started 4/06 Extensive effort in year 1 in: –Seeking IRB approval from cohorts to meet new NIH data release policies –SNP selection / project strategy Year 2 focus on: –DNA transfer –Pilot phenotypes transfer –Pilot genotyping and phenotype standardization

Structure of CARe Sub-committees / Chairs

Review of CARe Genotyping Plan PILOT (Sequenom): -35 SNPs typed on ~50,000 DNAs from all CARe Cohorts Phase II (Illumina iSelect---IBC Chip) -~49,000 SNPs covering ~2100 genes typed on ~ 50,000 DNAs from all CARe Cohorts Phase III (Affymetrix Human Chip version 6.0) ~1,000,000 SNPs (plus CNVs) typed on ~11,000 DNAs from African-American participants in ARIC, CARDIA, Cleveland Family, JHS and MESA

SHHS FHS CSSCD ARIC CFS MESA CHS JHS CARDIA , , CohortPilot (Sequenom- 35 SNPs) Phase Two (Infinium-iSelect 50,000 SNPs) Phase Three (Affy 6.0) 48,372 10,956 CARe Samples to be Genotyped

CARe Pilot Study All 50,000 CARe samples* Sequenom--35 CARe SNPs –Previously-associated “functional” SNPs –38 SNPs Selected by CARe SNP Subcommittee –Genotyping in progress 25 pilot phenotypes selected –Phenotypes anticipated to be “consistent” among cohorts –Only baseline values requested –Selected by CARe Phenotypes Subcommittee –Phenotype data received from all but one cohort *NOTE: All DNA will be received during this phase

CARe Pilot SNPs

CARe Pilot Phenotypes SOURCE: the CARe Portal

CARe Phase Two All 50,000 CARe samples “All” phenotypes eligible Illumina IBC Chip (version 2) Genotyping projected to begin Spring 2008

Design of IBC SNP Panel Partnership between Penn ITMAT / Broad/ CARe Goal : develop comprehensive candidate gene SNP panel –Definitively rule-in or role-out associations between cardiovascular phenotypes with genetic variation in specific genes/pathways. –Requirements: - Very large sample sizes with ‘harmonizable’ phenotypes - Improved resolution of genetic variation in specific loci of major interest (preferably < MAF 5%) Combined effort : 210,000 samples to be scanned

Gene Selection for IBC Panel Genes/loci chosen using four methodologies 1/ Whole Genome SNP Array (WGA) studies 2/ Pathway based approaches 3/ Extensive Literature Review 4/ Input from a range of vascular disease PIs

SNP Selection Strategy for IBC Panel Priority 1 ~450 genes –Cosmopolitan tagging of HapMap (MAF>2%, r2 0.8) + SeattleSNPs –‘forcing in’ specific SNPs of interest e.g. nsSNPs, fSNPs –>13.5K SNPs over 24Mbs versus 3722 (Affy 500K) 6862 (Affy 6.0) 4368 (Illumina 550K) 5048 (Illumina 650K) Priority 2  1400 genes –Cosmopolitan tagging of HapMap (MAF>5%, r2 0.55) + SeattleSNPs –>25K SNPs over 75Mbs versus (Affy 500K) (Affy 6.0) (Illumina 550K) (Illumina 650K) Priority 3  250 genes –Selection limited to nsSNPs and known & putatively functional variants

CARe Phase Three >10,000African American samples from CFS, ARIC, JHS, MESA and CARDIA “All” phenotypes eligible Affymetrix 6.0 Genotyping in progress

CARe Projected Timeline Sep Candidate Gene Genotyping NovOctDecJan 2008 FebMarAprMayJunJulAug DNAs shipped to Broad

Proposed CARe Workflow CHS ARIC CARDIA CFS JHS CSSCD FHS SHHSMESA DNAPhenotypes QC’d Genotypes Broad Standardized Phenotype Data Harmonized Phenotypes Analysis Engine Working Groups Initial Results CARe Portal

Proposed CARe Workflow and 15 “High Priority Phenotype” Working Groups CHS ARIC CARDIA CFS JHS CSSCD FHS SHHSMESA DNAPhenotypes QC’d Genotypes Broad Standardized Phenotype Data Harmonized Phenotypes Analysis Engine Working Groups Initial Results CARe Portal Aging Anthropometry Atrial Fibrillation Blood Biomarkers BP/HTN Coronary Heart Disease Diabetes ECHO/CHF Kidney disease Lipids Pulmonary Function Sleep Stroke Subclinical Atherosclerosis Peripheral Arterial Disease

CARe High Level Strategy Cohorts Trait 1Trait 2Trait 3Trait 4

The CARe Portal: Data Request and Distribution Broad Institute Provides a secure, externally available site for application creation, submission, and dataset access Users download approved dataset for analyses on their own hardware environment