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Genomics & Medicine http://biochem158.stanford.edu/. Personal Genomics http://biochem158.stanford.edu/Personal%20Genomics.html. The Lancet 2010, 375: 1525-1535. Doug Brutlag Professor Emeritus of Biochemistry & Medicine Stanford University School of Medicine. Low Heritability of Common SNPs.

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Genomics medicine http biochem158 stanford edu l.jpg

Genomics & Medicinehttp://biochem158.stanford.edu/

Personal Genomics

http://biochem158.stanford.edu/Personal%20Genomics.html

The Lancet 2010, 375: 1525-1535.

Doug Brutlag

Professor Emeritus of Biochemistry & Medicine

Stanford University School of Medicine


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Low Heritability of Common SNPs

Odds Ratio

  • Rare High Penetrance Variants Carry High Risk

  • Common SNPs Carry Low Risk

  • Multiple Variants May Increase Risk Synergistically

  • Common SNPs Associated with Genes Containing High Risk Alleles

  • Common SNPs Associations can Suggest Regions to Sequence in Cohorts or Trios or Subpopulations

Manolio et al. Nature 461, 747-753 (2009)


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Disease Genes are Often Enriched in Subpopulations

  • Subpopulations are often enriched for disease alleles

  • Subpopulations can cause synthetic SNP associations

  • Focusing on a subpopulations will eliminate synthetic SNP associations

  • Focusing on subpopulations eliminates need for population stratification adjustments

  • Egypt is a haplotype heaven!

    • Highest frequency of genetic (SNP) variations

    • High numbers of genetic subpopulations due to multiple migrations and invasions

    • Greeks, Romans, Turks, Persians etc.


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Summary ofGenome-Wide Association Studies

  • Genome-wide association studies make no assumptions about disease mechanism or cause

  • Genome-wide association studies usually discover only genetic correlations, not causal mutations

  • Genome-wide associations suggest:

    • Genes and regions one must analyze by re-sequencing for causal alleles

    • Subpopulations that may be enriched for causal or preventive alleles

    • Genes and gene products for functional and structural studies

    • Genes to examine for regulatory studies

  • Genome-wide association studies coupled with proper biological and structural studies can lead to:

    • Unexpected causes for disease

    • Novel mechanisms for disease (missense mutations, regulatory changes, alternative splicing, copy number variation etc.)

    • Multiple genes and multiple pathways involved in disease

    • Novel diagnostics and prognosis

    • Novel treatments


Genetic loci associated with hypertriglyceridemia http www ncbi nlm nih gov pubmed 20657596 l.jpg

Genetic Loci Associated with Hypertriglyceridemiahttp://www.ncbi.nlm.nih.gov/pubmed/20657596


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Novel Rare Variants in GWAS Genes for Hypertriglyceridemia http://www.ncbi.nlm.nih.gov/pubmed/20657596


Rare variant accumulation in hypertriglyceridemia http www ncbi nlm nih gov pubmed 20657596 l.jpg

Rare Variant Accumulation in Hypertriglyceridemia http://www.ncbi.nlm.nih.gov/pubmed/20657596


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So What Can We Learn fromPersonal Genomics?

  • Disease risk for common diseases

    • Genetic predisposition towards a disease (relative risk or odds ratio)

    • Genetic versus environmental contributions to disease (penetrance)

    • How to alter your environment and behavior to avoid the disease

  • Disease Carrier status

    • Premarital genetic counseling

    • Preimplantation genetic diagnosis

    • Neonatal diagnosis

      • Amniocentesis

      • Chorion villus sampling (CVS)

      • Fetal cells in pregnant mothers blood

  • Familial traits, diseases and relationships

    • Known family diseases (breast cancers, colorectal cancer, lysosome storage diseases, etc.)

    • Paternity (10% of people do not know their true biological father)

    • Maternity (about 1% of people do not know their true biological mother)

    • Inbreeding and incest lead to increased homozygosity and recessive diseases

    • Orphans can find family relations

  • Pharmacogenomics and Pharmacogenetics: Drug susceptibility

    • Efficacy of common drugs

    • Adverse reactions to common drugs

  • Ancestry

    • One can follow maternal line using mitochondrial DNA SNPs

    • Males can follow paternal line using Y chromosome SNPs

    • Shared haplotypes with recent relatives (up to 5th cousins)


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23andMe


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23andMe Kit


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23andMe Spittoon


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23andMe Sample Tube


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23andMe Tube in Envelope


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23andMe Fedex Mailer


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Choice of GWAS Studies

  • Common traits of broad interest

    • Prevalence of > 1%

    • Report Mendelian traits when possible

    • Focus on drug responses

  • Avoid false discoveries

    • Large case-control studies > 750 cases

    • Highly significant expectation values (<0.01 errors)

    • Published in reputable journals

    • Studies that have been replicated

  • May impute highly linked missing SNPs

  • Calculate likelihood and odds ratio using customers ethnicity as detected

  • Distinguish preliminary studies (non-replicated or smaller sample sizes) from established research.


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23andMe Login


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23andMe Disease Risks


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23andME Opt-In Statement


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23andMe Carrier Status


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23andMe Carrier Status forAlpha-1 Antitrypsin Deficiency


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23andMe Drug Responses


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Clopidogrel (Plavix®) Efficacy


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23andMe Traits


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23andMe Traits


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23andMe Maternal Inheritance


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23andMe Paternal Inheritance


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23andMe Relative Finder


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What is a Fifth Cousin?


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23andMe Ancestry Painting


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23andMe Global Similarity


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23andMe Ancestry Labs


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23andWe Discoveries


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23andWe Discoveries


Informed medical decisions http informeddna com l.jpg

INFORMED Medical Decisionshttp://informeddna.com/


Informed for 23andme customers http informeddna com index php 23andme schedule appointment 23 html l.jpg

INFORMED for 23andMe Customershttp://informeddna.com/index.php/23andme/schedule-appointment-23.html


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Navigenics


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Navigenics


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Navigenics


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Navigenics


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Navigenics


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Navigenics


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Navigenics


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Navigenics


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Navigenics


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Navigenics Compass Program


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Navigenics Conditions Covered


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DNAdirect: Clinical Genetic Testing

http://www.dnadirect.com/


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DNAdirect: Clinical Genetic Testing

http://www.dnadirect.com/web/


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Personal Genomics References

  • Clinical Assessment Incorporating a Personal Genome. Ashley, E. et al. (2010)

    Lancet 375, 1525-1535.

  • Emerging genomic applications in coronary artery disease. Damani SB,

    Topal EJ, JACC Cardiovasc. Intervention (2011). 4:473-482.

  • Clinical applicability of sequence variations in genes related to drug

    metabolism. Stojiljkovic M, Patrinos GP, Pavlovic S. (2011) Curr Drug Metab.

    1;12(5):445-54.

  • Clinical pharmacogenetics and potential application in personalized medicine.

    Zhou et al., (2008) Curr Drug Metab. 9(8):738-84.

  • Genes, mutations, and human inherited disease at the dawn of the age of

    personalized genomics. Cooper et al (2010) Hum Mutat. 31(6):631-55.

  • Web-based, participant-driven studies yield novel genetic associations for

    common traits. Eriksson et al. (2010) PLoS Genetics 6, e1000993.


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