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2008 Barcelona - European Society of Human Genetics

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Genomics, technology, bioinformatics 0<br />

that ULS-labelling yielded satisfying degrees <strong>of</strong> labelling (DoL~1 .5%),<br />

while the ones for random priming were ~0 .2% . Reproducibility <strong>of</strong> the<br />

analysis <strong>of</strong> these samples on BAC arrays was better as well (R2=0 .96<br />

for ULS vs R2=0 .88 for random priming) .<br />

In addition, aCGH applications involve substantial amounts <strong>of</strong> genomic<br />

DNA, while the amount <strong>of</strong> DNA available is <strong>of</strong>ten limited, requiring<br />

whole-genome amplification (WGA). Recently, Qiagen’s REPLI-g<br />

has been optimized for degraded samples . Therefore, we compared<br />

BAC aCGH experiments using 100ng <strong>of</strong> FFPE DNA, labelled using<br />

either direct random priming or a combination <strong>of</strong> REPLI-g and ULS<br />

or REPLI-g and random priming . Correlation with data obtained using<br />

conventional microgram amounts <strong>of</strong> input DNA data was best for the<br />

REPLI-g/ULS combination (R2=0 .84 vs 0 .70 for random priming), as<br />

was reproducibility .<br />

In conclusion, ULS allows aCGH analysis <strong>of</strong> archival DNA, while minimizing<br />

labelling-induced bias .<br />

P08.31<br />

Functional SNP candidates identified by genome wide ChIP<br />

analyses<br />

A. Ameur 1 , A. Rada-Iglesias 2,3 , O. Wallerman 2 , M. Motallebipour 2 , S. Enroth 1 , J.<br />

Komorowski 1,4 , C. Wadelius 2 ;<br />

1 The Linnaeus Centre for Bioinformatics, Uppsala, Sweden, 2 Rudbeck Laboratory,<br />

Uppsala, Sweden, 3 Current address: The Linnaeus Centre for Bioinformatics,<br />

Uppsala, Sweden, 4 Interdisciplinary Centre for Mathematical and Computer<br />

Modelling, Warsaw, Poland.<br />

Disease-associated SNPs identified in large association studies are<br />

<strong>of</strong>ten located in non-coding regions and it is possible that some SNPs<br />

affect the interaction between transcription factors and DNA . In HepG2<br />

cells we mapped binding sites for the transcription factors USF1 and<br />

USF2 along the genome using ChIP-chip . Using the novel BCRANK<br />

algorithm, we detected 1754 binding sites for USF1 with the predicted<br />

binding motif . In dbSNP, we found 140 candidate functional SNPs in<br />

these motifs . Eight <strong>of</strong> the SNPs were heterozygous in at least one <strong>of</strong><br />

four human cell samples . In 5 <strong>of</strong> 6 cases where the SNP was inside the<br />

core predicted USF1 binding motif CACGTGAC, ChIP and sequence<br />

analysis <strong>of</strong> the enriched DNA showed that USF1 was, with statistical<br />

significance bound to the allele containing the USF1 consensus and<br />

less to the other. We detected significant allelic differences for USF2,<br />

POLR2A and H3K27me3 . As a negative control, we analyzed 2 cases<br />

where the SNP was located just outside USF1 core sequence and saw<br />

no differences for any investigated factor . By high resolution genotyping<br />

in the HepG2 genome we have a dense map <strong>of</strong> potential functional<br />

SNPs . We have mapped additional factors along the genome using<br />

ChIP-sequencing, identified individual binding motifs containing hundreds<br />

<strong>of</strong> SNPs. Furthermore, we found significant enrichment <strong>of</strong> one<br />

allele at heterozygous positions as indication <strong>of</strong> allele specific DNAprotein<br />

interactions. Thus, individual binding sites can be defined at<br />

base pair resolution and large numbers <strong>of</strong> candidate functional SNPs<br />

can be predicted in genome wide experiments .<br />

P08.32<br />

TaqMan® Express: A format for easy mRNA quantification using<br />

pre-plated taqman Gene Expression Assays<br />

K. Poulter, F. Chan, J. Rappleye, P. Hegerich, D. N. Keys, K. Y. Lee, G. Marcus,<br />

S. Koepf, C. Chen;<br />

Applied Biosystems, Foster City, CA, United States.<br />

TaqMan® Express Plates contain up to 96 pre-spotted and dried Taq-<br />

Man Gene Expression Assays on an optical 96-well plate . Pre-plated<br />

assays simplify, accelerate and help error-pro<strong>of</strong> mRNA quantification<br />

experiments . This is especially important when there is more than one<br />

operator in a lab, when a study is being done across multiple labs, or<br />

when a study is extended over a period <strong>of</strong> time . The assays in Taqman®<br />

Express plates are user-selected from a catalogue <strong>of</strong> >50,000<br />

Taqman assays targeting human, mouse, rat, Rhesus and dog genes .<br />

Here, we show that TaqMan assays which are aliquoted and dried for<br />

storage perform comparably to standard wet assays aliquoted immediately<br />

before use . Dynamic range for dried assays showed >6 logs<br />

<strong>of</strong> linearity, detection <strong>of</strong> 2-fold discrimination with 99.7% confidence<br />

was demonstrated, and limit <strong>of</strong> detection was

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