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SNP selection for candidate gene association studies

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ATM mutations observed in breast cancer patients are mostly missense mutations ... polymorphic variation in ATM and breast cancer have been inconclusive ... – PowerPoint PPT presentation

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Title: SNP selection for candidate gene association studies


1
SNP selection for candidate gene association
studies
  • Peter Kraft (pkraft_at_hsph.harvard.edu)
  • Rulla Tamimi
  • (nhrmt_at_channing.harvard.edu)

2
Background
  • Ataxia telangiectasia (AT) is an autosomal
    recessive disorder
  • characterized by neurodegeneration, cerebral
    ataxia, sensitivity to radiation
  • 100-fold increased risk of developing cancer
  • Family studies suggest that women heterozygous
    for the ataxia telangiectasia mutated (ATM) gene
    are estimated to have 4-5 fold increased risk of
    breast cancer

3
Background
  • ATM is a tumor suppressor gene
  • Functions in cell cycle arrest, apoptosis and
    repair of double strand breaks
  • In vitro evidence indicates that cells from AT
    heterozygotes are intermediate in their
    sensitivity to X-Rays
  • gt200 disease causing mutations, mostly truncation
    mutations
  • ATM mutations observed in breast cancer patients
    are mostly missense mutations

4
Epidemiologic Studies
  • Studies examining polymorphic variation in ATM
    and breast cancer have been inconclusive
  • Increased risk among women with family history
    and/or early onset
  • Not all studies confirm these findings
  • 2 hospital-based studies reported positive
    associations with missense mutations
  • Population based study provided little support
    for a role of 20 ATM missense mutations in breast
    cancer

5
ATM
  • Large gene
  • 66 exons, over 180kb
  • Two independent groups identified variation in
    this gene
  • Thorstenson et al. American Journal of Human
    Genetics, 2001
  • Bonnen et al. American Journal of Human Genetics,
    2000

6
Thorstenson et al.
  • SNP discovery
  • Used DHPLC on 93 cell lines of diverse ethnicity
  • 62 out of 66 exons, splice sites, 5 and 3
    regions
  • 24kb covered
  • 88 variants found
  • 53 found 1 time only
  • 18 2-3 times
  • 17 gt3 times
  • Genotyped same population for these 17 SNPs
  • 10 in complete LD
  • 7 total haplotypes (3 in European Caucasians)

7
Thorstenson, et al. 2001
8
Bonnen et al.
  • SNP discovery
  • Sequenced 500bp regions evenly distributed
    throughout the gene in 5 unrelated European
    Caucasians
  • Primarily noncoding regions
  • 15kb sequence covered
  • 17 variants found
  • Sequenced population for 14 SNPs
  • 71 African Americans, 77 European White
    Americans, 73 Hispanics, 39 Asian Americans
  • 22 total haplotypes (only 7 in European
    Caucasians, 5gt5)

9
ATM gene
Bonnen et al, Am J Hum Genet, 2000
10
Bonnen et al, Am J Hum Genet, 2000
11
Objective
  • Determine if common variation in ATM is
    associated with breast cancer
  • Because of the size of ATM and apparent small
    numbers of haplotypes
  • small number of htSNPs
  • A haplotype approach may be useful method to
    examine common genetic variation
  • Based on Bonnen paper 5 htSNPs required to
    capture 99 variation

12
Haplotype Tagging SNPs
  • Using BEST
  • http//genomethods.org/best/
  • Uses an exact method to identify the minimum
    number of tagging SNPs necessary to capture
    variation
  • BEST identified 5 htSNPs necessary to capture all
    of the haplotypes occurring at gt1

13
If the space below a column is blank, the SNP
belongs to the minimum set of htSNPs tagging the
haplotypes if a column is labeled with an X, it
can be derived from the selected htSNPs when a
column is labeled by a number, the representation
binary representation of the labeled and the
labeling columns are identical and therefore any
solution including one will be equivalent to any
solution including the other.
14
Methods
  • Conducted nested case-control study in the NHS
  • 1309 breast cancer cases, 1761 controls
  • Genotyped 5 htSNPs using Taqman
  • Used PROC HAPLOTYPE to estimate haplotypes in
    cases and controls separately
  • Excluded haplotypes at lt1
  • Conducted secondary analysis among those with no
    missing genotype data(1199 cases, 1535 controls)

15
Results
  • Six unique haplotypes
  • Haplotypes 1,4,5 represent gt80 of haplotypes
  • Global p-value-0.63

16
Proc Haplotype vs. HAPPY
17
Additional Results
  • Used expectation substitution approach to examine
    haplotype interactions (HAPPY)
  • No interaction between haplotypes
  • Family history (p0.51)
  • Menopausal status at diagnosis (p0.29)

18
Limitations
  • Accuracy of the estimated haplotypes relies on
    the precision of the 5 htSNPs
  • No one has resequenced ATM entirely
  • Efficiency depends on the density of markers used
    to choose tagging SNPs
  • Bonnen markers average density of 1 SNP per 10kb
  • Does not exclude possibility of rare variants
    associated with breast cancer

19
  • S49C Among carriers 50 had haplotype 2, not
    significantly different from noncarriers (38
    p0.6)
  • D1853N haplotype 15 only occurred among carriers
  • P1054R Among carriers 46 had haplotype 17,
    significantly more than noncarriers (9 p0.003)

Letraro et al, Am J Hum Genet, 2003
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