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Recombination breakpoints Recombination breakpoints

Recombination breakpoints - PowerPoint Presentation

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Uploaded On 2016-10-13

Recombination breakpoints - PPT Presentation

Family Inheritance Me vs my brother My dad my Y Moms dad uncles Y Human ancestry Disease risk Genomics Regions mechanisms drugs Systems genes combinations pathways ID: 474953

signatures disease regulatory regions disease signatures regions regulatory gene coding motifs disrupts enhancers snp chromatin conserved rnas promoters evolutionary dna activator predict

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Presentation Transcript

Slide1

Recombination breakpoints

Family Inheritance

Me vs.

my brother

My

dad (my Y)

Mom’s

dad

(uncle’s Y)

Human ancestry

Disease risk

Genomics:

Regions

mechanisms

drugs

Systems

: genes

 combinations  pathways

What is possible with personal genotyping/sequencing

Dad’s

mom (his X)

(

my X)Slide2

Challenge: interpreting disease-associated variants

CATGACTG

CATG

C

CTG

Disease-associated

variant (SNP/CNV/…)

Gene annotation

(Coding, 5’/3’UTR, RNAs)

Evolutionary signatures

Non-coding annotation

Chromatin signatures

Roles in gene/chromatin regulation

 Activator/repressor signatures

Other evidence of function

 Signatures of selection (sp/pop)

Ability to predict causal effect of every nucleotide mutation in context

The regulators: Transcription factors, microRNAs, sequence specificities

The regions: enhancers, promoters, and their tissue-specificityThe targets: regulators

 enhancers/promoters  motifs  target genesThe grammars: Interplay of multiple TFs  prediction of gene expression

 The parts list = Building blocks of gene regulatory networks

Requires:

Systematic understanding of human genomeSlide3

Evolutionary signatures reveal genes, RNAs, motifs

Compare 29 mammals

Protein-coding

Non-coding

MicroRNA

RNA structure

Regulatory motifs

Increased conservation pinpoints functional regions

Distinct patterns of change

distinguish different functions

Mutations in conserved regions

more likely disease-associated

Disease SNP disrupts a conserved

regulatory motif

 disrupts binding

XSlide4

Chromatin signatures reveal regulatory regions and networks

2. Histone

modifications

3. DNA accessibility

1. DNA methylation

Epigenomic maps

Correlated

activity: predict linksSlide5

xx

Disease-associated SNPs enriched for enhancers in relevant cell types

E.g.

lupus SNP in

GM enhancer disrupts Ets1

predicted activator

Revisiting disease-

associated variants