1 / 12

Tracing Human Evolution with Genetics

Tracing Human Evolution with Genetics. SELECTION June 9-17, 2007. SNPs. Single Nucleotide Polymorphisms May or may not be in coding regions May or may not cause phenotypic changes Frequency of SNP distribution varies. Seq 1 ATCGG AT C CA TG T AT CGATT Seq 2 AT G GG ATGCA TG T AT CGATT

simeon
Download Presentation

Tracing Human Evolution with Genetics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Tracing Human Evolution with Genetics SELECTION June 9-17, 2007

  2. SNPs • Single Nucleotide Polymorphisms • May or may not be in coding regions • May or may not cause phenotypic changes • Frequency of SNP distribution varies Seq 1 ATCGG ATCCA TGTAT CGATT Seq 2 ATGGG ATGCA TGTAT CGATT Seq 3 ATCGG ATGCA TGAAA CGATT

  3. Haplotype • Refers to either: • Genetic makeup of one set of chromosomes • An area of a chromosome defined by a set of associated SNPs • Based on statistical analysis and measurement of linkage disequilibrium (LD) • Sources of LD • Recombination • Genetic linkage • Random drift • Non-random mating • Interactions between genes • Population structure

  4. Important points… • Correlation of a SNP and a phenotype is just that – a correlation, not necessarily a cause. • Haplotypes often identify genes involved in polygenic traits. • No single site controls the phenotype. • Quantitative trait loci (QTLs) are genetic areas involved in modulating expression of polygenic traits.

  5. Haplotypes and Evolution • Recent human evolution is visible in the genome as “selective sweeps”. • Selective sweeps are identified based on LD and haplotypes. • Articles: • Localizing Recent Adaptive Evolution in the Human Genome • Convergent adaptation of human lactase persistence in Africa and Europe

  6. Lactase Persistence and Pastoralism • Positive selective pressure • Liquid • Protein • Subsequent migration and spread of phenotype • Northern Europeans to North America • Southern migrations through Africa

  7. Lactase Persistence • Lactose malabsorption • Lactose tolerance • Lactase Persistence • Continued expression of lactase-phlorizin hydrolase (LPH) in mammals past weaning

  8. Global Distribution of Lactase Persistence • Europeans • High levels in Scandinavians • Decreasing levels further south in Europe • Asian • Generally low levels in tested populations • High in Khazaks • African • High in Tutsi and Fulani • Low in other groups

  9. Genetics of Lactase Persistence • Northern Europeans • SNP identified • Enhanced expression of lactase gene • Africans • Not the same SNP

  10. Lactose Tolerance Test • Fast for 8-12 hours • Ingest 50g lactose • Take blood samples for two hours and test for a rise in blood glucose levels • Caveats: • Fasting? • Field conditions: Used finger pricks and strips for monitoring diabetes

  11. Evolutionary Medicine • Many common medical issues are polygenic • Traditionally required a large affected family to identify candidate genes • Genome Wide Association (GWA) Articles • Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. • Guilt by association

  12. Case • A medical researcher is interested in the underlying causes of type II diabetes. Specifically, why do different people have different tendencies to develop diabetes? Obviously current lifestyle will have a major impact, but lifestyle is not a complete explanation. What about genetic history? Is there a way to use tools such as the HapMap or genome-wide association surveys to predict risk for populations and individuals? • How might this be useful for helping an American of mixed ancestry understand their risk for developing diabetes? • Would it be useful for a Han Chinese person? • What are the ethical considerations of collecting and using this kind of information?

More Related