Statistical Issues in Human Genetics Jonathan L. Haines Ph.D. Center for Human Genetics Research...
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Transcript of Statistical Issues in Human Genetics Jonathan L. Haines Ph.D. Center for Human Genetics Research...
Statistical Issuesin Human Genetics
Jonathan L. Haines Ph.D.
Center for Human Genetics Research
Vanderbilt University Medical Center
COMMON COMPLEX DISEASE
Complex DiseaseComplex Disease
EnvironmenEnvironmenttGenesGenes
COMMON COMPLEX DISEASE
Complex DiseaseComplex Disease
EnvironmenEnvironmenttGenesGenes
What Can The Genes Tell Us?
• Give us a better understanding of the underlying biology of the trait in question
• Serve as direct targets for better treatments– Pharmacogenetics– Interventions
• Give us better predictions of who might develop disease
• Give us better predictions of the course of the disease
• Lead to knowledge that can help find a cure or prevention
•Watson and Crick started it all in 1953 with the description of DNA
•53 Year Anniversary of the paper will be in April.
•Both Won Nobel Prize
The DNA Between Individuals is Identical.All differences are in the 0.1% of DNA that varies.
ACCGTCCAGG
ACCGTGCAGG
It’s hard tobelieve sometimes!
HUMAN CHROMOSOMES
Single-Nucleotide Polymorphisms (SNPs)One of the most common types of variation
GATCCTGTAGCTGATCCTCTAGCT
Extremely frequent across the genome (~1/400 bp) -> high resolution
Easy to genotype -> high-throughput techniques
G/C
1st Chromosome
2nd Chromosome
GATCCTGTAGCTGATCCTGTAGCT
GATCCTCTAGCTGATCCTCTAGCT
Normal Affected
< Normal
< Disease
What are We Looking For?What are We Looking For?
Human GenomeHuman Genome ChromosomeChromosome Gene (DNA)Gene (DNA)
EarthEarth CityCity StreetStreet AddressAddress
BandBand
640 cubic yards
1/100 cubic inch
3,000 MB
1 x 10-6 MB
It really is like finding a needle in a haystack!(and a very BIG haystack, at that)
The Genome Sequence is not THE answer!
1. Define Phenotypea. Consistency b. Accuracy
2. Define the Genetic Componenta. Twin Studies b. Adoption Studies c. Family Studies d. Heritability e. Segregation Analysis
3. Define Experimental Design
4. Ascertain Familiesa. Case-Control b. Singleton c. Sib Pairs d. Affected Relative Pairs
5. Collect Dataa. Family Histories b. Clinical Results c. Risk Factors d. DNA Samples
6. Perform Genotype Generationa. Genomic Screen b. Candidate Gene
8. Identify, Test, and Localize Regions of Interest
9. Bioinformatics and Gene Identification
10. Identify Susceptibility Variation(s)
11. Define Interactionsa. Gene-Gene b. Gene-Environment
7. Analyze dataa. Model-dependent
Lod scoreb. Model-independent
sib-pair, relative pair c. Association studies case-control, family-
based
Disease Gene Discovery In Complex Disease
CLASSES OF HUMANGENETIC DISEASE
• Diseases of Simple Genetic Architecture– Can tell how trait is passed in a family: follows a recognizable
pattern– One gene per family– Often called Mendelian disease– Usually quite rare in population– “Causative” gene
• Diseases of Complex Genetic Architecture– No clear pattern of inheritance– Moderate to strong evidence of being inherited– Common in population: cancer, heart disease, dementia etc.– Involves many genes or genes and environment– “Susceptibility” genes
CLASSES OF HUMANGENETIC DISEASE
• Diseases of Simple Genetic Architecture– Can tell how trait is passed in a family: follows a recognizable
pattern– One gene per family– Often called Mendelian disease– Usually quite rare in population– “Causative” gene
• Diseases of Complex Genetic ArchitectureDiseases of Complex Genetic Architecture– No clear pattern of inheritanceNo clear pattern of inheritance– Moderate to strong evidence of being inheritedModerate to strong evidence of being inherited– Common in population: cancer, heart disease, dementia etc.Common in population: cancer, heart disease, dementia etc.– Involves many genes or genes and environmentInvolves many genes or genes and environment– ““Susceptibility” genesSusceptibility” genes
Modes of Inheritance
• Autosomal Dominant– Huntington disease
• Autosomal Recessive– Cystic fibrosis
• X-linked– Duchenne muscular dystrophy
• Mitochondrial– Leber Optic atrophy
• Additive– HLA-DR in multiple sclerosis
• Combinations of the above– RP (39 loci), Nonsyndromic
deafness
Linkage Analysis
• Traces the segregation of the trait through a family
• Traces the segregation of the chromosomes through a family
• Statistically measures the correlation of the segregation of the trait with the segregation of the chromosome
A SAMPLE PEDIGREE
The RED chromosome is key
Measures of LinkageParametric Vs Non-Parametric
• Two major approaches toward linkage analysis• Parametric: Defines a genetic model of the action of the
trait locus (loci). This allows more complete use of the available data (inheritance patterns and phenotype information).– The historical approach towards linkage analysis.
Development driven by need to map simple Mendelian diseases
– Quite powerful when model is correctly defined• Non-Parametric: Uses either a partial genetic model or
no genetic model. Relies on estimates of allele/ haplotype/region sharing across relatives. Makes far fewer assumptions about the action of the underlying trait locus(loci).
Linkage Analysis
• Families– Affected sibpairs– Affected relative pairs– Extended families
• Traits– Qualitative (affected or not)– Quantitative (ordinal, continuous)
• There are numerous different methods that can be applied
• These methods differ dramatically depending on the types of families and traits
Recombination: Nature’s way of making new combinations of genetic variants
A. B. C. D.
A. A diploid cell.B. DNA replication and pairing of homologous chromosomes to form bivalent.C. Chiasma are formed between the chromatids of homologous chromosomesD. Recombination is complete by the end of prophase I.
Linkage Analysis in Humans
• Measure the rate of recombination between two or more loci on a chromosome
• Can be done with any loci, but primary application is to find the location of a trait variant by measuring linkage to known marker variants.
LOD Score AnalysisThe likelihood ratio as defined by Morton (1955):
L(pedigree| = x) L(pedigree | = 0.50)
where represents the recombination fraction and where 0 x 0.49.
When all meioses are “scorable”, the LR is constructed as:
L.R. = N
NRR
)5.0(
))1((
The LOD score (z) is the log10 (L.R.)
: z() is the lod score at a particular valueof the recombination fraction: z() is the maximum lod score, which occurs at the MLE of the recombinationfraction
CLASSES OF HUMANGENETIC DISEASE
• Diseases of Simple Genetic ArchitectureDiseases of Simple Genetic Architecture– Can tell how trait is passed in a family: follows a recognizable Can tell how trait is passed in a family: follows a recognizable
patternpattern– One gene per familyOne gene per family– Often called Mendelian diseaseOften called Mendelian disease– Usually quite rare in populationUsually quite rare in population– ““Causative” geneCausative” gene
• Diseases of Complex Genetic Architecture– No clear pattern of inheritance– Moderate to strong evidence of being inherited– Common in population: cancer, heart disease, dementia etc.– Involves many genes or genes and environment– “Susceptibility” genes
Large Families Small FamiliesLinkage Analysis
Association Studies
Family-Based Case-Control
Study Designs
Linkage vs. Association
Linkage AssociationShared within Families Shared across Families
TESTING CANDIDATE GENES
Disease Normal
5/20 5/20
Gene is not important
TESTING CANDIDATE GENES
Disease Normal
10/20 5/20
Gene may be important
Two Basic Study Designsfor Association Analysis
• Case-Control
• Advantages– Power
– Ascertainment
• Disadvantages– Sensitivity to assumptions
– Matching
• Family-Based– Parent-child Trio
– Discordant sibpairs
• Advantages– Use existing samples
– Robustness to assumptions
• Disadvantages– Ascertainment
– Power
METHODS FOR FAMILY-BASED ASSOCIATION STUDIES
– Parent-Child• AFBAC• TDT• HHRR• QTDT
– Sibpair• S-TDT• DAT
• Sibship– SDT
– WSDT
– FBAT
• Pedigree– Transmit
– PDT
– FBAT
TRANSMISSION DISEQUILIBRIUM TEST (TDT)
• Examines transmission of alleles to affected individuals• Requires:
– Linkage (transmission through meioses); and– Association (specific alleles)
• Test of linkage if association assumed• Test of association if linkage assumed• Test of linkage AND association if neither assumed• Uses the non-transmitted alleles, effectively, as the
control group. Can make “pseudocontrol” by creating genotype of the two non-transmitted alleles
• Requires phenotype only for the child
TDT calculation
A B
C D
Transmitted
Non
-Tra
nsm
itte
d
12 12
11
1 2
21
(B-C)2
TDT= (B+C)
With > 5 per cell, this followsa 2 distribution with 1 df
12 12
11
TDT
Transmitted
1 2
Not transmitted 1 0 0
2 2 0
22 12
12
TDT
Transmitted
1 2
Not transmitted 1 0 0
2 1 1
22 11
12
TDT
Transmitted
1 2
Not transmitted 1 1 0
2 0 1
TDT Example
A B
C D
Transmitted
Non
-Tra
nsm
itte
d 1 2
21
(B-C)2
TDT= (B+C)
25 42
25 42
Transmitted
Non
-Tra
nsm
itte
d 1 2
21
(42-25)2
TDT= (42+25) = 4.31
Two Basic Study Designsfor Association Analysis
• Case-Control
• Advantages– Power
– Ascertainment
• Disadvantages– Sensitivity to assumptions
– Matching
• Family-BasedFamily-Based– Parent-child TrioParent-child Trio
– Discordant sibpairsDiscordant sibpairs
• AdvantagesAdvantages– Use existing samplesUse existing samples
– Robustness to Robustness to assumptionsassumptions
• DisadvantagesDisadvantages– AscertainmentAscertainment
– PowerPower
Analysis of Case-Control Data
• Standard epidemiological approaches can be used
• Qualitative trait– Logistic regression
• Quantitative trait– Linear regression
• The usual concerns about matching but must also worry about false-positives from population substructure
Incorporating Geneticsinto Your Studies
• Obtain appropriate IRB approval– DNA studies are quite common– Template language exists for IRB approval and consent forms– Genetic Studies Ascertainment Core (GSAC) can help– Kelly Taylor: [email protected]
• Collect family history information• Obtain DNA sample
– Venipuncture– Buccal wash/swab– Finger stick
• Extract/Store DNA– DNA Resources Core can help– Cara Sutcliffe: [email protected]
• http://chgr.mc.vanderbilt.edu/
What Can The Genes Tell Us?
• Give us a better understanding of the underlying biology of the trait in question
• Serve as direct targets for better treatments– Pharmacogenetics– Interventions
• Give us better predictions of who might develop disease
• Give us better predictions of the course of the disease
• Lead to knowledge that can help find a cure or prevention