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Revealing the Mode of Inheritance in Genetic Association Studies

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Revealing the Mode of Inheritance ... mt-carriers vs. non ... given that the more diseased subject has a higher mutational load Definition for bi-allelic ... – PowerPoint PPT presentation

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Title: Revealing the Mode of Inheritance in Genetic Association Studies


1
UNIVERSITY OF THESSALY School of
Medicine Laboratory of Biomathematics
  • Revealing the Mode of Inheritance in Genetic
    Association Studies

2
  • Genetics background
  • Genetics is the science that studies the heredity
    of traits
  • Genetic information is contained in DNA which
    consists of nucleotides
  • Gene is a sequence of nucleotides that translates
    a protein
  • Genes (through proteins) determine traits
    (phenotypes)
  • A gene may have different forms called alleles
  • An allele can be mutant type-mt (change in
    nucleotudes) or wild type-wt
  • For each gene there are two alleles due to
    diploidy of humans (homologous chromosome pairs)
  • In an individual the genotype distribution of
    gene can be homozygous (wtwt or mtmt) or
    heterozygous (wtmt)

3
  • Genetic association studies (GAS)
  • The evaluation of possible associations between
    phenotypic traits (diseases) and genetic variants
    (gene polymorphisms) is carried out using GAS
  • In the case of a genetic variant with two alleles
    (mutant type-mt and wild type-wt), where mt is
    thought to be associated with a disease, GAS will
    collect information on the numbers of diseased
    subjects and control subjects with each of the
    three genotypes (wt/wt, wt/mt, mt/mt)

4
  • In an illustrative example of GAS with 8261/4374
    cases/controls investigated the association
    between ACE D/I (wt/mt) and CAD, the genotype
    distribution was
  • Genotype Cases with CAD Controls
  • mt/mt 1788 874
  • mt/wt 4145 2165
  • wt/wt 2328 1335
  • The association between disease status and the
  • genetic variant is tested using a chi-squared
    (x2) test
  • with (3-1)x(2-1)2 df

5
  • When the association is significant, various
    genetic models
  • of genotypes are tested by merging genotypes
  • These models include
  • additive model homozygous for mt vs.
  • homozygous for wt
  • recessive model homozygous for mt vs.
    wt-carriers
  • dominant model mt-carriers vs. non-mt-carriers
  • co-dominant model heterozygous vs. all
    homozygotes

6
  • The significance of the genetic model is
    assessed using the respective odds ratio (OR) and
    its 95 confidence interval (CI).
  • The OR for the additive model is
  • For ORgt1 an mt subject has greater chance of
    being diseased than a wt subject
  • If the 95 CI does not include 1, then, the OR
    is significant (Plt0.05) (i.e. the variant is
    associated with the disease).

7
  • ACE D/I (wtD/mtI) vs. CAD
  • Genotype Cases with CAD Controls
  • mt/mt 1788 874
  • mt/wt 4145 2165
  • wt/wt 2328 1335
  • x29.42, Plt0.05
  • (http//people.ku.edu/preacher/chisq/chisq.htm)
  • There is significant association between ACE D/I
    gene variant and development of CAD

8
  • But, what is the mode of inheritance,
  • or
  • what is the real genetic model?

9
  • Recessive model
  • Genotype Cases with CAD Controls
  • mt/mt 1788 874
  • mt/wtwt/wt 4145 23286473 216513353500
  • Since 1 is not included in the 95 CI, we
    conclude that the OR is significant (Plt0.05).
  • Since ORgt1, we conclude that homozygous for the
    mt allele have 11 greater risk for CAD than
    wt-carriers

10
  • Dominant model
  • Genotype Cases with CAD Controls
  • mt/mtmt/wt 178841455933 87421653039
  • wt/wt 2328 1335
  • Since 1 is not included in the 95 CI, we
    conclude that the OR is significant (Plt0.05).
  • Since ORgt1, we conclude that carriers of the mt
    allele have 12 greater risk for CAD than
    homozygous for the wt allele

11
  • Additive model
  • Genotype Cases with CAD Controls
  • mt/mt 1788 874
  • wt/wt 2328 1335
  • Since 1 is not included in the 95 CI, we
    conclude that the OR is significant (Plt0.05).
  • Since ORgt1, we conclude that homozygous for the
    mt allele have 17 greater risk for CAD than
    homozygous for the wt allele

12
  • Co-dominant model
  • Genotype Cases with CAD Controls
  • mt/wt 4145 2165
  • mt/mtwt/wt 178823284116 87413352209
  • Since 1 is included in the 95 CI, we conclude
    that the OR is not significant (P0.05).

13
  • Recessive model OR1.11 (1.01, 1.21),
    significant
  • Homozygous for the mt allele have greater risk
    than wt-carriers
  • Dominant model OR1.12 (1.03, 1.21), significant
  • Carriers of the mt allele have greater risk
    than non-carriers
  • Additive model OR1.17 (1.06-1.30), significant
  • Homozygous for the mt allele have greater risk
    than homozygous for the wt allele
  • Co-dominant model OR1.03 (0.96, 1.11), non-sign

14
  • Is the genetic model,
  • recessive,
  • dominant or
  • additive?
  • Mess!

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  • The source of the problem
  • The ORs of the genetic models
  • (recessive, dominant, additive, co-dominant)
  • are not independent
  • the testing of association between genotype
  • distribution and outcome (disease/controls) is
    based
  • on 2 df (the df for the Chi-squared test)

18
  • How can we avoid the hash of possible genetic
    models making the interpretation of the results
    straightforward at the same time?

19
  • Zintzaras (2010, Stat Appl Genet) introduced the
    concept of a generalized odds ratio (ORG) as a
    metric for describing the association between
    disease status (disease vs. healthy or disease
    progression) and genotype (biallelic or
    multiallelic)

20
  • The ORG is a single statistic that utilizes the
    complete genotype distribution and provides an
    estimate of the overall risk effect
  • General definition
  • The ORG is the probability of a subject being
    more diseased relative to the probability of
    being less diseased, given that the more diseased
    subject has a higher mutational load

21
  • Definition for bi-allelic variant and binary
  • phenotype
  • ORG is the probability of a subject being
    diseased relative to probability of being free of
    disease, given that the diseased subject has a
    higher mutational load than the non-diseased
  • When ORGgt1 then an increased genetic exposure
    (mutational load) implies disease

22
  • ORGGASMA a software for implementing the
    generalized odds ratio methodology for the
    analysis and meta-analysis of GAS
  • The software ORGGASMA (together with
    instructions how to operate it) is freely
    available and it can be downloaded form the web
    site http//biomath.med.uth.gr

23
  • ACE D/I (wtD/mtI) vs. CAD
  • Genotype Controls Cases with CAD
  • mt/mt 1788 874
  • mt/wt 4145 2165
  • wt/wt 2328 1335
  • Assumption Subjects who are homozygous for I
    allele have the highest mutational load, those
    homozygous for D allele have the lowest, and
    heterozygous have an intermediate level.
  • ORG1.13 with 95 CI (1.08-1.19),

24
  • ORG1.13 with 95 CI (1.08-1.19)
  • For any two subjects, diseased and healthy, the
    probability of being diseased is 13 higher
    (relative to the probability of being
    non-diseased) given that the diseased subject has
    higher mutational load than the healthy one.

25
  • Disease progression
  • ADH2 2/1 Controls Alcoholics
    Alcoholicswith
  • liver disease
  • 1/1 188 874 321
  • 2/1 145 265 456
  • 2/2 238 135 231
  • ORG 1.37 (1.10-1.72) Risk of disease
    progression is related to mutational load
  • A subject has 37 higher risk of being more
    diseased (relative to the risk of being less
    diseased) given that the subject has a higher
    mutational load.
  • Multiallelic variant
  • APOE Controls CAD
  • e2/e2 23 44
  • e2/e3 45 65
  • e2/e4 28 35
  • e3/e3 32 21

26
  • The ORG is a good solution, but,
  • it is not enough!
  • Zintzaras and Santos (2010, Stat Med) provided
    the whole solution!
  • Problem The ORs of the genetic models
  • (recessive, dominant, additive, co-dominant)
  • are not independent
  • Solution Inferences should be based solely on
  • the additive and co-dominant models

27
  • Instead of talking for
  • recessive,
  • dominant,
  • additive,
  • co-dominant models
  • we could talk for
  • Dominance and Co-Dominance
  • or even better for
  • Degree of dominance

28
  • Co-dominance
  • In the extreme case where there is co-dominance
    (i.e., perfect additivity), the heterozygote wtmt
    lies exactly in the middle of the two
    homozygotes, with mtmt having the maximum
    susceptibility of being diseased and wtwt having
    the least
  • Co-dominant model is non-significant (Pgt0.05)
  • Additive model is highly significant (Plt0.01)

29
  • Dominance
  • The heterozygote wtmt lies towards mtmt or wtmt

Co-dominant model is significant
(Plt0.05) Additive model can be significant
(Plt0.05) or non-significant (Pgt0.05)
30
Degree of dominance
  • The degree of dominance could be derived from
    the ratio of the logarithms of the OR of
    co-dominant vs. the OR of the additive model
  • the sign of ln(?co) determines the direction of
    dominance, and the value of ln(?co) relative to
    the absolute value of ln(?a) the magnitude of
    dominance deviation (i.e. deviation from the
    middle)

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  • -1lthlt0 wtmt is expected to have a risk of being
    diseased somewhere in between the middle of the
    two homozygotes and towards to wtwt
  • 0lthlt1 wtmt is expected to have a risk of being
    diseased somewhere in between the middle of the
    two homozygotes and towards to mtmt
  • hgt1 wtmt has a higher risk of being diseased
    than mtmt
  • hlt-1 wtmt has least chance of being diseased
    than wtwt

34
  • Once significance in dominance is detected (i.e.
    co-dominant model has Plt0.05) and h is obtained,
    the degree of dominance is inferred as follows

35
  • To summarize, inferences regarding any
  • degree of dominance are obtained from the
  • following order
  • If the co-dominant model is non-significant and
    the additive model is significant (i.e.
    co-dominance), the risk of disease for the
    heterozygote is in the middle of the two
    homozygotes.
  • If the co-dominant model is significant (i.e.
    dominance), we then test for the direction of
    dominance.
  • If 0lthlt1, wtmt has a risk of disease closer to
    mtmt or wtwt according to the sign ( or -,
    respectively) of h
  • If hgt1 is significant then, there is over- or
    under-dominance.

36
  • ACE D/I (wtD/mtI) vs. CAD
  • Genotype Cases with CAD Controls
  • mt/mt 1788 874
  • mt/wt 4145 2165
  • wt/wt 2328 1335
  • The co-dominant model is not significant (P0.05)
    and the additive model is significant (Plt0.05)
    the risk of disease for the heterozygote is in
    the middle of the two homozygotes.

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38
  • A GAS investigating the association between the
    alleles ADH21 and ADH22 with alcoholism
    produced the following genotype distributions
  • Both co-dominant and additive models are
    significant. Since the co-dominant model is
    significant, we proceed to inquiry about the
    degree of dominance, which here is
  • indicating that the risk-associated allele 1 is
    dominant, or that dominance exists.

39
  • In other words, the homozygous 1/1 (mt/mt)
    has a greater risk of being alcoholic than the
    homozygous 2/2 (wt/wt), and the heterozygote
    2/1 has a risk of alcoholism closer to the
    homozygote 1/1 than to the midpoint between the
    two homozygotes.

40
Ancient Theater of Larissa
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