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Genetic Analysis of Genomewide Variation in Human Gene Expression Morley M' et al' Nature 2004,430:

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Genetic Analysis of Genome-wide Variation in Human Gene Expression ... Mapping expression in randomized rodent genomes. Broman K.W. Nature Genetics 37: 209-210 (2005) ... – PowerPoint PPT presentation

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Title: Genetic Analysis of Genomewide Variation in Human Gene Expression Morley M' et al' Nature 2004,430:


1
Genetic Analysis of Genome-wide Variation in
Human Gene ExpressionMorley M. et al. Nature
2004,430 743-747.
Yen-Yi Ho
2
Outline
  • Introduction
  • Data
  • Method Linkage analysis
  • Results
  • Discussion
  • Comments

3
Introduction
4
Goal Identify loci associated with variation in
expression levels
Nucleus
regulators
Genomic DNA
mRNA
mRNA
Target
5
Cis and Trans regulation
Target gene expression phenotype
6
Data
  • Centre d'Etude du Polymorphisme Humain (CEPH)
    families are Utah residents with ancestry from
    northern and western Europe.
  • 14 families with genotype and expression data
    available for all parents and a mean of eight
    offspring (range 7-9)

7
  • 2,756 autosomal SNP genetic loci (100kb within
    cluster, 3 Mb between cluster).
  • Gene expression phenotypes
  • 8,500 gene expression phenotypes in immortalized
    B cells using Affymetrix Genome Focus Array.
  • Expression intensity was scaled to 500 and
    transformed by log2.

8
  • 3,554 most variable expression phenotypes are
    selected (between gt within variation).
  • Using CEPH unrelated individuals (94
    grandparents), two array replicates per
    individual was performed. The within individual
    variation was indicated by the mean of variance
    of array replicates.

9
Method Linkage analysis

IBD1
IBD0
IBD identical-by-descent
10
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11
For a particular target gene expression
t-statistics
SNP1 2 3 4 5 Genetic
Locus
12
Results
Criteria 1 t gt 5 (P-value lt 4.3 , LOD
gt 5.3) 142 expression phenotypes have at least
one significant regulator.
Criteria 2 t gt 4 (P-value lt 3.7 ,
LOD gt 3.4) 984 expression phenotypes have at
least one significant regulator.
13
Cis and trans- regulation
  • Under criteria 1,
  • 27/142 (19) expression phenotype have only a
    single cis-regulator.
  • 110/142 (77.5) expression phenotype have only a
    single trans-regulator.
  • 2 /142 have a cis and a trans-acting regulator
  • 3 /142 gene expression have two trans-acting
    regulator
  • Under criteria 2,
  • 164 / 984 (16) has multiple regulators

14
T-statistic
1 2 3 . . . 3554
Gene expression Target
Criteria 2 t gt 3.4
SNP 1 2 3 ..2756
SNP 1 2 3 ..2756
Genetic Locus regulator
15
Master regulator
31 25
14q32 20q13
Divide the autosomal genome into 491 windows of 5
Mb, and count the number of regulators in the
regions under criteria 2 (total 984 phenotypes
with significant linkages).
16
Co-regulation
  • Use the gene expression levels of 94 CEPH
    grandparents
  • Hierarchical clustering was performed and group
    genes by the correlation of the 31 target gene
    expression levels
  • Permutation test was used to determine the
    significant level of pair-wise correlation.

17
14 / 31
18
Population-based association analysis for
cis-regulators
(SNP regulator)
19
(No Transcript)
20
Discussion
  • The study applied genome-wide mapping method to
    identify the chromosomal regions regulate to the
    gene expression phenotypes.
  • This type of study has the potential to uncover
    complicated transcriptional control.
  • Cis-, trans-acting and master regulators were
    discovered.
  • The linkage results are reliable as verified by
    association study and qRT-PCR.

21
Comments
  • In this study, gene expression measured in
    immortalized B cells may be very different from
    the expression of human B cells in the blood.
  • Co-regulated genes and the pathways that connect
    genes are identified.
  • We would be even more interested in utilizing the
    data to improve our understanding of human
    disease.
  • Genotype Gene expression Phenotype

22
  • Candidate regions have cis-effects.
  • Different phenotype / expression signatures
    associated with different regulators.

23
Statistical design and analysis issues
  • Design
  • Choice of relative type or pedigree in humans.
  • Choice of tissue and timing of mRNA sampling.
  • Analysis
  • Multiple testing linkage location, transcripts.
  • Regulatory hotspots methods to find master
    regulatory loci.
  • Regulatory networks searching for small sets of
  • Co-regulated transcripts.

24
Reference
  • Genetic analysis of genome-wide variation in
    human gene expression. Moley M., Molony C.M,
    Teresa M. Weber T.M. et al. Nature 430743-747
    (2004).
  • Genetics of gene expression surveyed in maize,
    mouse, and man. Schadt E.E., Monks S.A., Drake
    T.A. et al. Nature 422 297-302 (2003).
  • Mapping expression in randomized rodent genomes.
    Broman K.W. Nature Genetics 37 209-210 (2005).
  • Natural variation in human gene expression
    assessed in lymphoblastoid cells. Cheung V.G.,
    Conlin L.K., Weber T.M. et al. Nature Genetics
    33 422-425 (2003).
  • Mapping determinants of human gene expression by
    regional and genome-wide association. Cheung
    V.G., Spielman R.S., Ewens K.G. et al. Nature
    437 1365-1369 (2005).

25
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