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Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins Implications of population history for disease mapping

Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

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Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins Implications of population history for disease mapping. The first demonstration of world-wide differences in human A, B and O allele frequencies (1919). - PowerPoint PPT Presentation

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Page 1: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Human Genetics, part II

Liisa Kauppi (Keeney lab)

Human populations: origins

Implications of population history for disease mapping

Page 2: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

The first demonstration of world-wide differences in human A, B and O allele frequencies (1919)

Page 3: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Human population history

Genetic evidence is always considered alongside linguistic,

anthropological and archeological evidence

demic diffusion or cultural diffusion?

Page 4: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Founder effect

Small number of individuals settles new area, then population grows

Bottleneck effect

Population size collapses due to e.g. famine or epidemic

genetic variability decreases

Two phenomena influencing gene/allele frequencies:

Page 5: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Additional forces influencing allele frequencies: ・ Genetic drift random effects, stronger when population size is small

・ Gene flow between neighboring groups

・ Selection For example infectious disease

Page 6: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Mixing or replacement?

Page 7: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Classical marker studies

Based on 120 protein-coding genes in 1,915 populationsCavalli-Sforza & Feldman (2003) Nature Genet. 33, 266-275

Genetic diversity outside of Africa is a subset of diversity in Africa

Differences in allele frequency genetic distances

Page 8: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Human genetic diversity is evenly distributed

Most variationbetweenpopulations

Most variationwithinpopulations

Templeton (1999) Am. J.Anthropol. 100, 632-650

Page 9: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Within population

Between populations, within continent

Between continents

Median, all autosomal polymorphisms

84.6 5.1 9.9

A large fraction of global human diversity is contained within populations

AMOVA (analysis of molecular variance)

Page 10: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Father Mother

Son

Courtesy of Mark Jobling

Page 11: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Non-recombining systems

Y chromosome “haplogroups”

1

23

4

“mitotypes”

Molecular clocks

Most recent common ancestor

Page 12: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

mtDNAMaternal - language

Y chromosomePaternal - surname

Sociocultural factorsPatrilocality in most human populationsPolygamyColonizations: mostly males

Page 13: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Courtesy of Mark Jobling

Y chromosome lineages - fathers to sons

“Y chromosomal Adam” and “mitochondrial Eve” were not alone!

Page 14: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Phylogenetic trees commonly indicate a recent origin in Africa

A B C D E F* G H I J K* L M N O P* Q R

10

20

30

40

60

50

70

90

80

0

KYA

90 (50 - 130) KYA, Hammer and Zegura59 (40 - 140) KYA, Thomson et al.

69 (56 - 81) KYA, Hammer and Zegura40 (35 - 89) KYA, Thomson et al.

Y chromosome

Page 15: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Y haplogroup distribution

Jobling & Tyler-Smith (2003) Nature Rev. Genet. 4, 598-612

A B C D E F* G H I J K* L M N O P* Q R

Page 16: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

An African origin

A B C D E F* G H I J K* L M N O P* Q R

Page 17: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

QuickTime™ and aTIFF (LZW) decompressor

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In Europe, there is a southeast to northwest cline in Y haplogroups

Gradients of allele frequencies indicate migration of people

Page 18: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Europeans are descendants of:Paleolithic hunters and gatherersNeolithic farmers

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Late Paleolithic

Upper Paleolithic

Neolithic

Anatomically modern humans arrived in Europe via Asia 35,000 - 40,000 years ago.

Page 19: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Modern human mtDNA is distinct from Neanderthal mtDNA

Krings et al. (1997) Cell 90, 19-30

Neanderthal people lived in Europe 300,000 - 30,000 years ago

Page 20: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Different genetic marker systems tell different stories

Sample from La Plata, Argentina45.6% native American maternal lineages 10.6% native American paternal lineages

Autosomal markers:68% European, 26% native American, 7% West African

Martinez et al., 2004, Hum Biol 76, 543-57

Page 21: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

More recent reshaping of diversity

• ‘Star cluster’ Y haplotype originated in/near Mongolia ~1,000 (700-1,300) years ago• Now carried by ~8% of men in Central/East Asia, ~0.5% of men worldwide• Suggested association with Genghis Khan (social prestige as a selective force)

Zerjal et al. (2003) Am. J. Hum. Genet. 72, 717-721

a cluster of closely related lineages

Page 22: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Are you a descendant of Genghis Khan?

http://www.oxfordancestors.com/genghis_khan.html

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QuickTime™ and aTIFF (Uncompressed) decompressor

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Paternal Clan certificate:

Matriline serviceSeven Daughters of Eve certificate

Page 23: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Lactase persistence

• All infants have high lactase enzyme activity to digest the sugar lactose in milk

• In most humans, activity declines after weaning, but in some it persists:

LCT*P

Page 24: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Population history and mapping of genetic diseases

Page 25: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Founder effect

People are on average more related to each other than in an “outbred” population

“Unrelated” individuals…

All humans are related if you look back far enough…but some are more related than others

Page 26: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

In a more “inbred” population, patients suffering from a disease are more likely to share a common ancestorMore likely to have just one type of causative mutation (no allelic heterogeneity)

In a younger population, LD blocks are longer (less generations - less time for meiotic recombination)

What’s special about isolated populations?

Rare recessive diseases maybe much more prevalent

Page 27: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

The first replicated ABOassociation study (1954)

Mechanism: ABO blood group binding adhesin BabA in H. pylori

Page 28: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Admixture Mapping

• “Admixed” population is homogeneous but each individual’s genome is a mosaic of segments from different populations

• May be used to map disease loci– multiple sclerosis susceptibility (Reich et al. 2005)

Page 29: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Admixture Mapping - requirements

• Disease has to show a difference in incidence between the two “ancestral” populations, for example: multiple sclerosis in Africans vs. Europeans, hypertension in Africans vs. Europeans

• Must have polymorphic markers that differ in frequency in the ancestral populations (HapMap SNPs)

• Must have at least 10% admixture

Smith and O’Brien (2005) Nat Rev Genet 6, 623-632

Page 30: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Admixture mapping

Darvasi and Shifman, Nature Genetics  37, 118 - 119 (2005)

Disease allele must have different frequencies in populations 1 and 2

Page 31: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Smith and O’Brien (2005) Nat Rev Genet 6, 623-632

Assigning ancestry of chromosomal segments

Page 32: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

Admixture Mapping

• Patient cohort of black Americans with multiple sclerosis (MS)

• MS in Africans vs. Europeans

• Admixture: 20% European, 80% African

• Assign chromosomal segments (haplotypes) as “African” or “European”

• Patients with MS should show an excess of “European” chromosome segments across disease locus

Page 33: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

“individualized medicine/therapy”

Optimize drug efficacy and minimize toxicity

Pharmacogenetics

Clinical trial: GSK3-beta gene and bipolar disorderSNP (-50 T/C) in promoter region

Recurring episodes reduced with lithium in C/C homozygotes and C/T heterozygotes

Benedetti et al., (2005) Neurosc Lett 376, 51-55

Page 34: Human Genetics, part II Liisa Kauppi (Keeney lab) Human populations: origins

“It is no surprise that skin pigment is a lousy surrogate for drug-metabolism status or most any aspect of human physiology.”

McLeod (2001), News and Views commentary on “Population genetic structure of variable drug response”, Nature Genetics  29, 265 - 269

Yet - BiDil is now the first FDA approved drug for use in a specific ethnic group

group fluidity and overlap!14% of black American vs. 49% of White Americans benefiting from angiotensin-converting enzyme inhibitor for heart failure