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Primate Comparative Genomics “…man’s position in the animate world is an indispensable preliminary to the proper understanding of his relations to the universe and this again resolves itself, in the long run, into an inquiry into the nature and the closeness of the ties which connect him with those singular creatures (the Great Apes) whose history has been sketched in the preceding pages.” -Thomas H. Huxley -Man’s Place in Nature, 1894
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Page 1: Primate Comparative Genomicsgenetics.wustl.edu/bio5488/files/2018/04/... · Human Diseases Comparison of disease susceptibility between chimps and humans ... Epithelial cancers common

Primate Comparative Genomics

“…man’s position in the animate world is an indispensable

preliminary to the proper understanding of his relations to the

universe – and this again resolves itself, in the long run, into an

inquiry into the nature and the closeness of the ties which connect

him with those singular creatures (the Great Apes) whose history

has been sketched in the preceding pages.”

-Thomas H. Huxley

-Man’s Place in Nature, 1894

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Humans and Chimps

Homo sapiens 99.9% identical

Homo sapiens and Pan troglodytes 99.0% identical

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Why sequence chimps?

Two white papers.

http://www.genome.gov/11008056

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Chimps Are Resistant To Many

Human Diseases

Comparison of disease susceptibility between chimps and humans

Condition Human Chimp

HIV progression to AIDS common very rare

Influenza A symptoms moderate/severe mild

Hepatitus B/C complications moderate/severe mild

Plasmodium falciparum malaria susceptible resistant

Menopause universal rare

E. Coli K99 gastroenteritis resistant sensitive

Alzheimer’s disease pathology complete incomplete

Epithelial cancers common rare

Source: Olson, M.V. et al. White paper advocating the complete sequencing of the common chimpanzee, Pan troglyodytes, (2002)

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Chimp sequence can inform our

unique population history

Kasserman et al (2001) Nat. Genet. 27: 155-56

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Chimps can inform our unique

population history

• Fixation of deleterious

alleles during bottlenecks

• Chimp genome might offer

a “fix” to common diseases

speech+speech--

hypertension+

hypertension--

obesity+obesity--

bipedal+

bipedal--

speech+

hypertension+

obesity+

bipedal+

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Chimp sequence can help detect

selection• Important to know the ancestral allele

• Over-representation of the non-ancestral allele can suggest selection

A

AA

AB B

BB

BB

B

B

BB

B

B

B

A

B

B

BB

A allele fixed in

Chimps

A and B are

polymorphic in

Humans

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Only species appropriate for

comparison of fast moving regions

• Pericentric duplications

• Subtelomeric repeats

• Y-chromosome

• 5-7% of the genome is in large segmental

duplications

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What does the genome tell us?

• (Roughly) same size genome (3.1 GB)

• (Roughly) same number of genes (~20,500)

• (Roughly) same genes

• Large number of papers reporting specific

differences between human and chimps

• Many papers also claim to detect positive selection

on specific human genes

Not too much yet…

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Let’s do the math

How many differences do we need to look at?

(3 x 109 bp) (1% divergence) (50% in humans) = 15 million bp

In coding DNA?

(15 million bp) (1.5% coding) (75% non-synonomyous) =169,000 bp

or about 7 non-synonomyous changes per gene

Non-coding DNA?

(15 million bp) (3.5% under selection) = 525,000 bp

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What are the possibilities?

• Gene loss

• Gene gain

• Gene mutation (a few or many)

• Gene regulation

• Something else?

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Inter- versus Intraspecific

Variation

He (man) resembles them (apes) as they

resemble one another – he differs from

them as they differ from one another.

-Thomas Huxley

-Man’s Place in Nature, 1894

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Gene Loss

Hypothesis: Humans have lost (one or

more) genes compared to chimps, and

it is the loss of those functions that

accounts for our “humanness”

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Sialic Acid Biologyan example of database mining

Chou et al. (1998) Proc. Natl. Acad. Sci. USA 95, 11751-11756

• Apes have lots of Neu5Gc, humans very little

• Neu5Gc is located on the surface of epithelial cells

• Neu5Gc is present in very low levels in the brain even

in animals that have lots of Neu5Gc

hydroxylase

humanchimpgorillamouse

A 92 bp deletion in the CMP-Neu5a

hydroxylase is specific to the

human lineage

ATG

ATG

ATG

ATG

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Indels are ~50% of human-chimp differences

Frazer et al (2003) Genome. Res. 13: 341-346

Locke et al. (2003) Genome. Res. 13: 347-357

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Gene Gain

Hypothesis: Humans have gained (one

or more) genes compared to chimps, and

it is the gain of these new functions that

accounts for our “humanness.”

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Morpheus Gene Family

Johnson et al. (2001) Nature 413:514-519

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Morpheus Gene family

Johnson et al. (2001) Nature 413:514-519

• 20 Kb duplicated segment on short arm of

chromosome 16

• 98% identity in introns/non-coding DNA,

81% identity in exonic DNA

• Ka/Ks tests indicate (possibility of) extreme

positive selection

• Gene family has no homology to known

genes

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Morpheus Gene Family

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Gene Mutation

Hypothesis: Humans acquired (one or

more) substitutions in the coding

regions of their genes that alter the

functions of those proteins so as to

account for our “humanness.”

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What about organism specific substitutions?

http://sayer.lab.nig.ac.jp/~silver/

C-C chemokine receptor (nucleotides 1 to 60)

Human_1 ATGGATTATCAAGTGTCAAGTCCAATCTATGACATCAATTATTATACATCGGAGCCCTGC

Human_2 ATGGATTATCAAGTGTCAAGTCCAATCTATGACATCAATTATTATACATCGGAGCCCTGC

Human_3 ATGGATTATCAAGTGTCAAGTCCAATCTATGACATCAATTATTATACATCGGAGCCCTGC

Human_4 ATGGATTATCAAGTGTCAAGTCCAATCTATGACATCAATTATTATACATCGGAGCCCTGC

Chimp_1 ATGGATTATCAAGTGTCAAGTCCAATCTATGACATCGATTATTATACATCGGAGCCCTGC

Chimp_2 ATGGATTATCAAGTGTCAAGTCCAATCTATGACATCGATTATTATACATCGGAGCCCTGC

Chimp_3 ATGGATTATCAAGTGTCAAGTCCAATCTATGACATCGATTATTATACATCGGAGCCCTGC

Goril_1 ATGGATTATCAAGTGTCAAGTCCAACCTATGACATCGATTATTATACATCGGAGCCCTGC

Goril_2 ATGGATTATCAAGTGTCAAGTCCAACCTATGACATCGATTATTATACATCGGAGCCCTGC

Goril_3 ATGGATTATCAAGTGTCAAGTCCAACCTATGACATCGATTATTATACATCGGAGCCCTGC

************************* ********** ***********************

Problem: How can we make a conclusion based on one substitution?

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Detecting Selective Sweeps

• Selective sweeps are (thought to be) accompanied

by a local reduction in diversity

• Test for overabundance of low frequency alleles

(Tajima’s D)

Apadted from Carroll, S. (2003) Nature 422:849-57

beneficial mutation arisesSelection drives

mutation to fixationmutation/recombination

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FOXP2, The Human Speech Gene?1) Mapped in families with inherited speech

defects (normal IQ)

2) Forkhead transcription factor

FOXP2 Nucleotide Substitutions

Enard et al. (2002) Nature 418, 869-72

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FOXP2, The Human Speech Gene?

Enard et al. (2002) Nature 418, 869-72

• Sequencing of adjacent non-coding DNA

revealed an excess in the number of low

frequency alleles relative to what would be

expected given neutral DNA in a randomly

mating population of constant size

• Tajima’s D = -2.20 (P<0.01)

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Gene Expression

Hypothesis: It is not the structural

differences in proteins, but rather their

differences in expression between

humans and chimps that account for

our “humanness.”

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Differences in Gene Expression in the Brain?Enard et al (2002) Science 296, 340-343.

microarrays

2D Gels

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Neutral Theory of Gene

Expression?

• Consider how one might construct a neutral

theory of gene expression akin to the neutral

theory of gene mutation

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1) What is the sequence of the

normal Human Genome?

2) What accounts for the genetic

differences between individuals?

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Finding Segmental Duplications in the

Human Genome

Bailey et al (2002) Science 297:1003-07

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Segmental Duplications in the Human Genome

Bailey et al (2002) Science 297:1003-07

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Polymorphism in Segmental Duplications

Iafrate et al (2004) Nat Genet 36:949-51

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Polymorphism in Segmental

Duplications

• CGH studies find many copy number polymorphisms in segmental duplications (~12 per individual)

• Rare and common polymorphisms

• Many overlap coding regions

• Critical for the interpretation of amplifications in cancers

• Responsible for phenotypic differences between people?

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SNPs/Hap Map/1000 Genomes

The International HapMap Project is a multi-country effort to

identify and catalog genetic similarities and differences in human

beings. Using the information in the HapMap, researchers will be

able to find genes that affect health, disease, and individual

responses to medications and environmental factors. The Project is

a collaboration among scientists and funding agencies from Japan,

the United Kingdom, Canada, China, Nigeria, and the United

States. All of the information generated by the Project will be

released into the public domain

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Questions

1. How many sub-populations best partition the

data?

2. How strong is the evidence for the clusters?

3. Do the inferred clusters correspond to our

notions of race, ethnicity, ancestry, or

geography?

4. Given the inferred clusters can we accurately

can we classify new individuals?

5. Can we identify population admixture or

migration events?

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Attempts to group humans by genotype

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and Fst

1. , average nucleotide diversity

(~1 in 1000 bp)

2. Fst, proportion of genetic variation that can

be ascribed to differences between

populations (~10%)

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Summary of Findings

• and Fst are small

• Diversity within “African” populations is

highest

• Unsupervised clustering tends to support

either 3 or 4 sub-populations depending on

number and type of markers and individuals

included in the study, but the composition

of the groups are often different in different

studies

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A contradiction?

• Although they differed on the extent and

composition of sub-populations, so far all

studies have found evidence of significant

sub-structure in human populations

• And yet, all studies agree that Fst is small

(between 3-15%)

See review by Jorde and Wooding (2004) Nature Genet. 36: S28-S33

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Small Fst does not imply lack of structure

A1

D2

B2

A1

B2

A1

A1

A1

A2A2

D2A1C1

C2

A1

B1

B1

B1

A1

C1A2

D1

A2

A1C2

A1

D2

C2

D1D1

A1

C1

D1

B2E2

E2

E1E1E1

E1

E2

E2

E2

C2

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Clustering human populations by

genotype

K-means clustering of gene expression data

• Pick a number (k) of cluster centers

• Assign every gene to its nearest cluster center

• Move each cluster center to the mean of its assigned genes

• Repeat 2-3 until convergence

EM-based clustering of genotype data

• Pick a number (k) of sub-populations

• Assign every individual to a sub-population based on the allele frequencies in the sub-population

• Recalculate the allele frequencies in each sub population

• Repeat 2-3 until convergence

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An ExampleI1= (A1,B1,C2)

I2= (A1,B1,C2)

I3= (A1,B2,C2)

I4= (A2,B2,C1)

I5= (A1,B1,C1)

I6= (A1,B1,C2)

I7= (A1,B1,C2)

I8= (A2,B2,C2)

I9= (A1,B2,C1)

I10= (A2,B1,C2)

I11= (A2,B2,C2)

I12= (A2,B2,C2)

12 individuals genotyped at three

different independent biallelic loci

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k1 k3k2

I1= (A1,B1,C2)

I2= (A1,B1,C2)

I3= (A1,B2,C2)

I4= (A2,B2,C1)

I5= (A1,B1,C1)

I6= (A1,B1,C2)

I7= (A1,B1,C2)

I8= (A2,B2,C2)

I9= (A1,B2,C1)

I10= (A2,B1,C2)

I11= (A2,B2,C2)

I12= (A2,B2,C2)

F(A1)k1=0.75

F(B1)k1=0.5

F(C1)k1=0.25

F(A1)k2=0.75

F(B1)k2=0.75

F(C1)k2=0.25

F(A1)k3=0.25

F(B1)k3=0.25

F(C1)k3=0.25

Consider individual I1= (A1,B1,C2)

P(I1 in k1) = (.75)(.5)(.75) = 0.28

P(I1 in k2) = (.75)(.75)(.75) = 0.42

P(I1 in k3) = (.25)(.25)(.75) = 0.046

Therefore reassign I1 to k2

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An exampleBamshad et al (2003) Am. J. Hum. Genet. 72:578-89

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But…Bamshad et al (2003) Am. J. Hum. Genet. 72:578-89

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Genes mirror geography in EuropeNovembre et al. Nature 456, 98-101

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Pharmacogenomics

• Many drugs never reach the market because

of side effects in a small minority of

patients

• Many drugs on the market are efficacious in

only a small fraction of the population

• This variation is (in part) due to genetic

determinants

– OrissaEGF mutations

– Codeinecytochrome P450 alleles

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Question: Is race, ancestry, ethnicity,

geography or genetic substructure a

reasonable proxy for genotype at

alleles relevant for drug metabolism?

Answer: So far…No. Still looks as if we will have to genotype

the relevant loci before making any guesses

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Population genetic structure of

variable drug response.Wilson et al (2001) Nat Genet. 29: 265-269

A = African

B = European

C = Asian

A B C

CYP1A2

GSTM1

CYP2C19

DIA4

NAT2

CYP2D6

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Evidence for Archaic Asian Ancestry on

the Human X ChromosomeGarrigan et al. (2005) Mol. Biol. And Evol. 22:189-192

1) Pseudogene on the X-chromosome

2) 18 substitutions between human-chimp

3) 15 substitutions between two human alleles

4) Assuming a molecular clock the split between

the two human alleles is about 2 million years

5) Both alleles found in southern Asia, only one

allele found in Africa

6) Only human gene tree to “root” in Asia

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Garrigan et al. (2005) Mol. Biol. And Evol. 22:189-192

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Garrigan et al. (2005) Mol. Biol. And Evol. 22:189-192

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Human evolution in a nutshell

chimpsH. sapien

H. ergaster

H. erectus

H. neanderthalis

5-6 mya

1 mya

0.5 mya

0.2 mya

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Human evolution in a nutshell

chimpsH. sapien

H. ergaster

H. erectus

H. neanderthalis

5-6 mya

1 mya

0.5 mya

0.2 mya?

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So what happened?

1. Strong selection for the Asian allele in southern Asia

-not likely since this is a pseudogene locus

-fails Tajima’s D test

2. Gene flow between H. sapien and H.erectus in

southern Asia

-branch lengths are about right for 2 million years of divergence

-H. erectus was in southern Asia until 18,000 years ago

(Morwood et al. and Brown et al. in Nature (2004) vol

431.)

-supporting evidence from genetic analysis of lice and other

human parasites (Reed et al (2004) PLoS 2:1972-83)