genome composition

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GENOME COMPOSITION GROUP B1 GREG BENZ LEO ESPINOSA DAVID CARO RUPERT WU LOSS-OF - FUNCT I ON VARIAN T S

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Genome Composition. Loss-Of-function Variants. Group B1 Greg Benz Leo Espinosa David Caro Rupert Wu. Introduction. Loss-of-Function variants The genetic variants predicted to severely disrupt protein- coding genes - PowerPoint PPT Presentation

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Page 1: Genome Composition

GENOME COMPOSITIO

N

G R O U P B 1G R E G B E N Z L E O E S P I N O S AD A V I D C A R OR U P E R T W U

LOSS-OF-FUNCTIO

N

VARIANTS

Page 2: Genome Composition

INTRODUCTION

Loss-of-Function variants

The genetic variants predicted to severely disrupt protein- coding genes

LoF’s include Single-nucleotide variants (SNVs) and insertion/deletion (indel) variants

Recent studies indicates that LoF variants are not always deleterious

Can exist in healthy individual.

Page 3: Genome Composition

Classify the Lof variants:SNVs and indel

Filter the candidate LoF variants into high-confidence , missense and synonymous.

Analyze the numbers and the properties of LoF variants in the individual genome

Filter the candidate LoF variants into high-confidence LoF, missense and synonymous.

Investigate how LoF variants affect human phenotype and disease risk

Some implications of this research:

Predict the probability of disease causation for novel variants.

High confidence LoF:

Mainly include nonsense and frame-shift variants

Usually deleterious.

Missense LoF:

Can not determined.

Page 4: Genome Composition

OVERVIEW OF STUDY

What would we find if our genome was sequenced?

-LoF Variants-Helpful, Harmful, or Harmless?

-Do these variants affect phenotype?

Page 5: Genome Composition

HOW IS THE EFFECT OF GENETIC VARIANCE ON PHENOTYPE SHOWN?

(Quintana-Murci et al. 2012)

Page 6: Genome Composition

DATA (FIGURE 1)

(MacArthur et al. 2012)

Page 7: Genome Composition

DATA (FIGURE 1)

(MacArthur et al. 2012)

Page 8: Genome Composition

DATA (FIGURE 1)

(MacArthur et al. 2012)

Page 9: Genome Composition

DATA (FIGURE 2)

(MacArthur et al. 2012)

Page 10: Genome Composition

DATA (FIGURE 2)

(MacArthur et al. 2012)

Page 11: Genome Composition

DATA (FIGURE 2)

(MacArthur 2012)

Page 12: Genome Composition

DATA (FIGURE 3)

(MacArthur 2012)

Page 13: Genome Composition

DATA (FIGURE 3)

(MacArthur 2012)

Page 14: Genome Composition

DATA (FIGURE 3)

(MacArthur 2012)

Page 15: Genome Composition

DISCUSSION

How does this relate to our Biology class?

Every person has their own unique genomeResult of mutations Different phenotypes3+ billion base pairs in genome

Page 16: Genome Composition

DISCUSSION

Differing base pairs = loss-of-function variantsSingle base change = point mutation

Types of point mutationsSilentMissense Nonsense Frameshift

Page 17: Genome Composition

ACA TGC ATG CCT

Thr Cys Met Pro

Original DNA Sequence

Page 18: Genome Composition

ACG TGC ATG CCT

Thr Cys Met Pro

Silent Mutation

No change in amino acid sequence

Page 19: Genome Composition

ACA TGC ATG CCT

Thr Cys Met Pro

Original DNA Sequence

Page 20: Genome Composition

CCA TGC ATG CCT

Thr Cys Met ProPro

Missense Mutation

Change in one amino acid

Page 21: Genome Composition

ACA TGC ATG CCT

Thr Cys Met Pro

Original DNA Sequence

Page 22: Genome Composition

ACA TGA ATG CCT

Thr Cys Met Pro

Nonsense Mutation

STOPChange from amino acid to stop codon

Page 23: Genome Composition

ACA TGC ATG CCT

Thr Cys Met Pro

Original DNA Sequence

Page 24: Genome Composition

ACA TGC

Thr Ala

Frame Shift

A TC G CC

Thr Cys Met ProChanges in multiple amino acids

Insertion of base C

Page 25: Genome Composition

mRNA

DNA

Transcription

RNA synthesized from DNA template

Page 26: Genome Composition

DISCUSSION

TranslationRNA delivered to ribosomesEach codon aligns with its anticodonAmino acid produced for each codonAmino acids joined by peptide bonds to form a polypeptide (protein)

Page 27: Genome Composition

TAKE-HOME MESSAGE

“Everyone’s Got Problems”

Page 28: Genome Composition

REFERENCESMacarthur, Daniel G. . "A Systematic Survey of Loss-of-Function Variants in

Human Protein-Coding Genes ." Science 335 (2012): 823-828. Print. Quintana-Murci, Lluis. "Gene Losses in the Human Genome." Science 14

Nov. 2012: 806-807. Print.Freeman, Scott, and Healy Hamilton. Biological science. 4th ed. Upper

Saddle River, N.J.: Pearson Prentice Hall, 2011. Print.Segalat, Laurent. "Loss-of-function Genetic Diseases and the Concept of

Pharmaceutical Targets ." Orphanet 225 (2007): Web. 18 Nov. 2012