Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
Tim Aitman [email protected] Genome Resources and Identification of Complex Trait Genes Physiological Genomics and Medicine MRC Clinical Sciences Centre Faculty of Medicine, Imperial College Hammersmith Hospital London Identification of Genes underlying Mendelian and Complex Traits 1980-2002 No. of Mendelian traits No. of Complex Traits Mendelian traits All complex traits Human complex traits 1980 1985 1990 1995 2000 Glazier, Nadeau, Aitman, 2002 Genome Resources for Identifying Complex Trait Genes • Genome sequences - Annotation, homology searching, comparative mapping, SNP resources, text mining • Omics technologies - Transcriptional arraying, proteomics • Congenic, isogenic, near isogenic strains -Rodents, plants, flies • LD and haplotype maps - Humans, rodents Criteria for Establishing Proof of QTL Gene Identity in Whole-Genome Linkage Studies • Coarse mapping with genome-wide significance • Fine mapping – Congenic strains, advanced intercrosses – LD mapping • Sequence analysis • Functional testing of proposed sequence nucleotide variant(s) – In vivo or in vitro complementation • Circumstantial evidence – Formal proof vs. "wealth of evidence" The Human Insulin Resistance Syndromes (Metabolic Syndrome X) Hypertension Salt retention Diabetes Beta cell failure Insulin Resistance Hepatic lipoprotein overproduction Dyslipidaemia Predominant causes of coronary heart disease THE SPONTANEOUSLY HYPERTENSIVE RAT: A model of the common insulin resistance syndromes • • • • • • Spontaneous hypertension Decreased insulin action Hyperinsulinaemia Central obesity Defective fatty acid metabolism Hypertriglyceridaemia Intermediate phenotype: In vitro insulin and catecholamine resistance in SHR fat cells Combined DNA Microarrays and Linkage Analysis to Investigate Insulin Resistance in Hypertensive Rats QTL Plots of Chromosome 4 for Defects in Insulin Action and Fatty Acid Metabolism Microarray to Detect Differential Gene Expression between Tissues from Affected and Control Animals Lod 8 F2 cross 4 6 3 4 2 Backcross + 10 cM 2 10 cM 1 0 Il6 Ae2Arb13 Mgh17 Mgh8 Wox7 Wox21 Mgh4 0 Ae2 Il6 Arb13 Mgh17 Mgh8 Wox7 Wox21 Mgh4 Aitman et al, Nature Genet 1997 Aitman et al, Nature Genet 1999 Identification of Cd36 as Rat Insulin Resistance Gene Chromosome 4 Congenic Strain Confirms Linkage and Defines Physical Limit of QTL to 36 cM (= 72 Mbp) __________________________________________________________________________________________ Glucose Uptake P = 0.0002 P = 0.01 BN SHR SHR.4 Fatty Acid Secretion P = 0.003 P = 0.009 BN SHR SHR.4 Radiation Hybrid Mapping Places Cd36 in the RADI ATI ON HYBRI D M AP OF PROXIM AL Centre of the Chromosome 4 QTL RAT CHROM OSOM E 4 ~ 8cM ~8cM Cd36 ILG6 D4Rat133 D4Rat4 D4Arb13 D4Rat139 D4Rat2 D4Rat3 Ce10 Slc4a2 D4Bro1 Nos3 D4Rat1 Ce3 D4Rat136 Psmc2 Fgl2 D4Rat5 D4Rat6 D4Rat7 D4Rat8 D4Mgh1 Cacna2 D4Rat149 D4Rat150 50cR3000 Al-Majali et al, 1999 Mamm Genome 10:471-6 cDNA Sequencing Identifies Multiple Mutations in SHR Cd36 Coding Region Ser160Ile Leu161Phe Val154Phe Thr150Gln Ala145Val Asn102Ser Lys183Glu Val190Ile Glu240Lys Ser468Phe Ala401Pro 5’ 3’ G397A G601A C619T “Exon 6” 6" "Exon C871T G791A C1339T T1450C Western Blot Analysis: Cd36 Protein is Undetectable in Plasma Membrane/Microsomes from SHR Adipose Tissue Chromosomal Deletion at Cd36 Locus Underlies Cd36 Deficiency in SHR ______________________________________________________________________________________________________________________________________________________ Normal rat Cd36 locus I II III IV V VI VII VIII IX X XI XII XIII XIV XV I II Cd36 III IV V VI VII VIII IX X XI XII XIII XIV XV Cd36-ps1 I II III IV V VI VII VIII IX X XI XII XIII XIV XV Cd36-ps2 : Promoter I II III IV V VI VII VIII IX X XI XII XIII XIV XV Chimaeric Cd36 in SHR Glazier et al, Mamm Genome, 2001 How do you prove that a candidate gene, at the peak of linkage and with strong biological candidacy, underlies a QTL? “Proof” that Cd36 underlies SHR QTLs • • • • Cd36 transgenic mouse (Aitman 1999) Cd36 knockout mouse (Febbraio 1999) Human Cd36 deficiency (Miyaoka 2001) Cd36 transgenic SHR (Pravenec 2001) “Proof” that Cd36 underlies SHR QTLs • • • • Cd36 transgenic mouse (Aitman 1999) Cd36 knockout mouse (Febbraio 1999) Human Cd36 deficiency (Miyaoka 2001) Cd36 transgenic SHR (Pravenec 2001) PLASMA LIPIDS IN Cd36 KNOCKOUT MICE Triglycerides NEFA (mg/dl) (mEq/l) _______________________ Control 97.3 ± 5.9* 1.73 ± 0.09* Knockout 138 ± 10.0 3.28 ± 0.12 __________________________________________ * P<0.005 Febbraio et al, 1999 J Biol Chem 274:19055 CLINICAL PROFILES OF HUMAN CD36 DEFICIENCY _____________________________________________ CD36 Deficiency (N=26) Control (N=96) Age (years) 64 ± 10 60 ± 7 Sex (Male, Female) (15,11) (68,28) BMI (kg/m²) 23.6 ± 3.8 23.6 ± 2.7 TC (mmol/l) 5.29 ± 1.01 5.3 ± 0.83 TG (mmol/l) 2.19 ± 1.15 * 1.42 ± 0.7 HDL-C (mmol/l) 1.24 ± 0.42 * 1.61 ± 0.42 FPG (mmol/1) 6.18 ± 1.24 * 5.44 ± 1.11 Systolic BP (mmHg) 135 ± 19 * 118 ± 15 Whole Body Glucose Uptake 5.08 ± 1.4 * 8.6 ± 0.5 _______________________________________________________________ * p<0.01 Miyaoka et al 2001, Lancet 357:686 CORRECTION OF METABOLIC AND CARDIOVASCULAR PHENOTYPES IN Cd36 TRANSGENIC SHR ______________________________________________________________________________ TG10 TG19 SHR Plasma NEFA (mM) 0.30±0.01* 0.28 ±0.03* 0.44 ±0.04 Glucose AUC (mM.hr) 12.4 ±0.8* 11.6 ±0.4* 15.5 ±1.10 Glucose uptake (mM/g) 226 ± 16* 341 ±95* 143 ± 15 _____________________________________________________________ Values are means ± se; *P<0.05 Pravenec et al, 2001 Nature Genet 27:156 Lines of evidence supporting Cd36 as SHR QTL gene • • • • Cd36 lies at peak of linkage Linkage confirmed in congenic strains Strong biological candidacy Altered genomic locus with multiple coding sequence variants • Undetectable protein on Western blot • Comparable phenotypes in Cd36-deficient mice and humans • Transgenic complementation How successful is the combined linkage and microarray approach? Successful combined use of linkage analysis and microarray-based expression profiling • Complex traits – Insulin resistance (Aitman et al 1999) – Experimental asthma (Karp 2000) • Mendelian traits – Sitosterolemia (Berge 2000) – Tangier disease (Lawn 1999) Future combined use of microarrays and genetic linkage analysis to define genetics of gene expression • Genetical genomics – Jansen & Nap 2001 • Budding yeast – Brem et al 2002 • Maize, mouse and man – Schadt et al 2003 – 11,021 eQTLs (of 23,574 genes on array) with Lod > 3 Current Gene Identification Projects • Salt-sensitive hypertension in SHR • Pulmonary hypertension in F344 rats • Nephrotoxic nephritis in WKY rat 24 Hour Blood Pressure Measured by Telemetry in SHR and SHR.18 Congenic Strain Night-time, diastolic Night-time, systolic 210 160 SHR 140 130 SHR 200 mm Hg mm Hg 150 190 180 170 120 SHR.18 110 160 100 SHR.18 150 80 90 100 110 120 (days of age) 80 90 1% salt solution for drinking SHR SHR 190 mm Hg mm Hg 120 (days of age) Day-time, systolic 140 130 120 110 110 1% salt solution for drinking Day-time, diastolic 150 100 SHR.18 100 180 170 160 SHR.18 150 80 90 100 110 1% salt solution for drinking 120 (days of age) 80 90 100 110 1% salt solution for drinking 120 (days of age) Differentially Expressed Genes and BP QTLs on Rat Chromsome 18 Rat Chr. 18 SHR.18 Congenic interval Jacob et al 1991, SHRSP/WKY Garrett et al 1998, Dahl S/Lew Cowley et al 2000, BN/Dahl S Kovacs et al 1997, SHR/BBOK Previously Mapped Rat BP QTLs (95% C.l.) D18Rat12 Adrb * Ttr D18Rat32 * Human BP QTL (Krushkal et al, 1999) Mouse BP QTL (Wright et al, 1999) 10cM Differentially Expressed Genes and BP QTLs on Rat Chromsome 18 Rat Chr. 18 Genetic Markers DE1 SHR.18 Congenic interval Jacob et al 1991, SHRSP/WKY Garrett et al 1998, Dahl S/Lew Cowley et al 2000, BN/Dahl S Kovacs et al 1997, SHR/BBOK Previously Mapped Rat BP QTLs (95% C.l.) Differentially expressed genes D18Rat12 Adrb DE2 DE3 * D18Rat32 * 10cM Ttr DE4 Human BP QTL (Krushkal et al, 1999) Mouse BP QTL (Wright et al, 1999) Differentially Expressed Genes and BP QTLs on Rat Chromsome 18 Rat Chr. 18 Genetic Markers DE1 SHR.18 Congenic interval Jacob et al 1991, SHRSP/WKY Garrett et al 1998, Dahl S/Lew Cowley et al 2000, BN/Dahl S Kovacs et al 1997, SHR/BBOK Previously Mapped Rat BP QTLs (95% C.l.) Differentially expressed genes D18Rat12 Adrb DE2 DE3 28 bp insertion identified in 3' region of DE4 cDNA * D18Rat32 * 10cM Ttr DE4 Human BP QTL (Krushkal et al, 1999) Mouse BP QTL (Wright et al, 1999) Hypoxia-induced Pulmonary Hypertension (Sebkhi, Wilkins, Zhao) ____________________________________________________________________________________________________________ RV weight (mg) WKY 500 450 400 350 300 250 200 150 100 50 0 F344 F1 F2 VARWKY VARF344 VARF1 VARF2 = 736 = 843 = 833 = 2336 VARGENETIC = 1532 Heritability = 65% D17Rat13 D17Rat47 D17Rat46 D17Rat43 D17Rat41 D17Rat32 D17Rat15 D17Rat12 D17Rat6 D17MIT7 LOD RV Weight QTL on Chromosome 17 7 6 5 4 3 2 1 Zhao et al 2000, Circulation Congenic 1 Congenic 2 Minimal interval ~ 5cM D17Rat13 D17Rat47 D17Rat46 D17Rat43 D17Rat41 D17Rat32 D17Rat15 D17Rat12 D17Rat6 D17MIT7 LOD RV Weight QTL on Chromosome 17 7 6 5 4 3 2 1 Rat Experimental Nephrotoxic Nephritis (Cook, Duda, Smith) WKY Normal H&E WKY NTN Day 6 WKY NTN Day 28 H&E H&E ED1 Renal histology Crescents (%) 100 75 50 25 0 LEW LewxWKYWKYxLew F1 WKY F2 Rat NTN shows linkage to chromosomes 13 and 16 Lod Lod 6 6 4 4 2 2 Chromosome 13 Chromosome 16 Identification of Genes underlying Mendelian and Complex Traits 1980-2002 No. of Mendelian traits No. of Complex Traits Mendelian traits All complex traits Human complex traits 1980 1985 1990 1995 2000 Glazier, Nadeau, Aitman, 2002 Complex Trait Genes Identified During 2003 • CTLA4, autoimmune disease in mice and humans – Ueda, Nature 423:506 • Ncf1, rat pristane-induced arthritis – Olofsson, Nature Genet 33:25 • PHF11, Human asthma and IgE – Zhang et al, Nature Genet 34:181 Identification of Genes underlying Mendelian and Complex Traits 1980-2005 No. of Mendelian traits No. of Complex Traits Mendelian traits All complex traits Human complex traits 1980 1985 1990 1995 2000 2005 Glazier, Nadeau, Aitman, 2002 Molecular lesions in genes underlying Mendelian and complex trait genes identified to date Mendelian * (n=30,900) Missense/ nonsense Splice Ins/del Regulatory Others 58% 10% 31% 1% <1% * Data from Human Gene Mutation Database, Cardiff Molecular lesions in genes underlying Mendelian and complex trait genes identified to date Missense/ nonsense Splice Ins/del Regulatory Others Mendelian * (n=30,900) 58% 10% 31% 1% <1% Complex (n=27) 55% 0% 16% 23% 6% * Data from Human Gene Mutation Database, Cardiff ACKNOWLEDGEMENTS IC/Clinical Sciences Centre SUNY Anne Glazier Caroline Wallace Saira Ali Kelly Sheehan-Rooney Penny Norsworthy James Scott Nada Abumrad Prague Michal Pravenec Vaclav Zidek Vladimir Kren Nephrology Terry Cook Mark Duda Jenny Smith San Francisco Clinical Pharmacology Larry Stanton Karim Sebkhi Martin Wilkins Microarray Centre Helen Causton Ted Kurtz Scios Funding MRC, Wellcome Trust BHF, Affymetrix