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Mapping Genes for SLE: A Paradigm for Human Disease?. Stephen S. Rich, Ph.D. Department of Public Health Sciences Wake Forest University School of Medicine. Simple vs Complex Traits. Simple Traits -rare -single gene (Mendelian) -severe mutations -large phenotypic effect. Complex Traits - PowerPoint PPT Presentation
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Mapping Genes for SLE:A Paradigm for Human Disease?
Stephen S. Rich, Ph.D.
Department of Public Health Sciences
Wake Forest University School of Medicine
Simple vs Complex Traits
Simple Traits
-rare
-single gene (Mendelian)
-severe mutations
-large phenotypic effect
Complex Traits
-common
-many genes (Oligogenic)
-mild mutations
-small phenotypic effect
Complex trait mapping is the major challenge in human genetics
Difficulties in Complex Disease
• Identifying genes that contribute to susceptibility of complex disease difficult due to underlying biological mechanisms– Phenotypic heterogeneity– Genetic heterogeneity– Gene-environment interaction
• Limited study power to detect small effect susceptibility genes (QTLs)
• Available sample size for genetic studies
Gene - Environment Interaction
Gene - Environment Interaction:Complex Genetic Diseases
Genetic/Host Susceptibility
Presymptomatic Conditions
(Risk Factors or Markers of Disease
Susceptibility)Environmental
Influences
Symptomatic Disease (Reversible or Irreversible Changes in Organ
Structure and Function)
Steps Towards Finding a Gene
• Identification of a population
• Clinical assessment
• Linkage analysis - genome screen
• Fine mapping and gene localization
• Gene identification / sequence variants
• Functional genomics: Gene expression
Issues in Clinical Assessment• Disease phenotype definitions
– medical history, evidence of sub-clinical outcome, and a confirmation through a clinical examination
– outpatient clinic records with varying data
– positive answer to the questions • “Have you ever been diagnosed with ...?” and • “If yes, has this happened more than once?”
• Standardized questionnaires• Standardized protocols• Study coordination and training of staff• Quality Control / Quality Assurance
Choices of a Population
• Representation– Isolated, admixed or inbred – Mixed, heterogeneous populations
• Family structure– Unrelated individuals– Families
• Parents and children • Extended families (pedigrees)
• Source– Single ethnic group– Multiple ethnic groups
Example of Linkage Analysis
D1S218
D1S158
D1S444
D1S218
D1S158
D1S444
D1S218
D1S158
D1S444
Affected Sib Pair Family
a//b c//d
a//c 25% a//c50% a//d or b//c25% b//d
Systemic Lupus Erythematosus• SLE is a chronic autoimmune inflammatory disease
characterized by the production of pathogenic autoantibodies
• SLE is a clinically heterogeneous disease that affects a variety of organs such as joints, skin, blood and kidneys
• SLE disproportionately affects women (>90%) of child-bearing age
• Prevalence of SLE in the United States is estimated to be between 40 - 45 cases per 100,000 (Hochberg 1997)
Familiality of SLE• SLE has a strong genetic component
– Increased concordance rates among MZ twins
(Deapen et al., 1992, Reichlin et al., 1992)
– Increased risk to siblings (S=10-20; Vyse and Todd, 1996)
• SLE does not exhibit simple Mendelian inheritance patterns and may involve – incomplete penetrance
– phenocopies
– genetic heterogeneity
– polygenic inheritance
– modifying environmental effects
Affected Relative Pair Collections
• Minnesota cohort– 187 SLE sib pair families– 6p11-21, 16q13, 14q21-23, 20p12.3
• Oklahoma cohort– 94 extended multiplex pedigrees– 1q23, 13q32, 20q13, 1q31
• Ethnic-specific effects
NPL Regression Analysis of Combined Genome Scan for SLE
Chromosomal LOD-1 Region Nearest Marker LOD Interval
Chr 1 @ 263 D1S2785 2.14 253-285
Chr 4 @ 21 D4S403 3.65 11-28
Chr 4 @ 165 D4S2368 2.00 147-178
Chr 6 @ 68 D6S2410 4.90 61-80
Chr 6 @ 85 D6S1031 3.84 57-100
Chr 7 @ 27 D7S507 2.47 6-37
Chr 16 @ 77 D16S3253/D16S503 3.51 65-85
Chr 20 @ 62 D20S481/D20S119 1.97 57-67
Combined Genome Scan for SLESample Similarities and Differences
Chromosomal LOD Score
Region Nearest Marker Combined MN OK
Chr 1 @ 263 D1S2785 2.14 2.2 0.3
Chr 4 @ 21 D4S403 3.65 1.8 1.9
Chr 4 @ 165 D4S2368 2.00 1.9 0.3
Chr 6 @ 68 D6S2410 4.90 4.3 1.0
Chr 6 @ 85 D6S1031 3.84 3.6 0.7
Chr 7 @ 27 D7S507 2.47 1.5 1.0
Chr 16 @ 77 D16S3253/D16S503 3.51 4.3 0.3
Chr 20 @ 62 D20S481/D20S119 1.97 2.0 0.3
Combined Genome Scan for SLEEthnic Differences
LOD Score
Chromosomal African
Region Nearest Marker Combined American Caucasian
Chr 1 @ 263 D1S2785 2.14 0.0 1.8
Chr 4 @ 21 D4S403 3.65 0.0 4.5
Chr 4 @ 165 D4S2368 2.00 0.7 1.9
Chr 6 @ 68 D6S2410 4.90 1.6 2.6
Chr 6 @ 85 D6S1031 3.84 2.5 1.4
Chr 7 @ 27 D7S507 2.47 0.0 2.9
Chr 16 @ 77 D16S3253/D16S503 3.51 0.1 3.2
Chr 20 @ 62 D20S481/D20S119 1.97 0.0 2.7
SummaryThe Lupus SCOR combined genome scan for SLE provides evidence of linkage to several chromosomal regions: 1q, 4p, 4q, 6, 7p, 16, 20
With the exception of chromosome 6, our linkage peaks tend to be dominated by the Caucasian pedigrees in our sample
Several of our linkage signals appear to be supported by published genome scans
Fine mapping efforts related to these linkage regions are underway within the SCOR as part of its mission to map and clone genes predisposing to SLE and related phenotypes
Genetic
Mapping
Fine
Mapping
Susceptibility
Gene(s) ACGCCACC
ACGTCACC
DNA
Phenotypes
Diagnostic Tests
New Mechanisms
New Drugs
Gene-Environment Interactions
Genome Screening
and Linkage Analyses
Positional Cloning in Complex Diseases
Acknowledgements
University of Alabama-Birmingham
Robert P. Kimberly
Jeffrey C. Edberg
University of Minnesota
Timothy W. Behrens
Patrick M. Gaffney
Robert R. Graham
University of Oklahoma
John B. Harley
Jennifer H. Kelly
Courtney Gray-McGuire
Kathy L. Moser*
Wake Forest University
Stephen S. Rich
W. Mark Brown
Carl D. Langefeld