1 They have 3 things in common Rule breaker #1: telomeres What are - - PowerPoint PPT Presentation

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1 They have 3 things in common Rule breaker #1: telomeres What are - - PowerPoint PPT Presentation

DNA is stable Stability of DNA main selling point for genetic research Cause and effect is clear Can use DNA from blood to study brain Dynamic DNA: Challenges and Opportunities Linda Broer Disease l.broer@erasmusmc.nl Department of


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Dynamic DNA: Challenges and Opportunities

Linda Broer l.broer@erasmusmc.nl Department of Internal Medicine Human Genetics Facility (HuGe-F)

DNA is stable

Stability of DNA main selling point for genetic research Cause and effect is clear Can use DNA from blood to study brain

Disease

Rules are meant to be broken Meet the rule breakers…

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They have 3 things in common Rule breaker #1: telomeres What are telomeres? Function of telomeres: hide end of chromosomes

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Telomeres: driving force behind the Hayflick limit

Hayflick limit: number of times a cell can divide Once limit is reached senescence Telomere length (TL) determines this limit

Hayflick limit in action: Dolly

Only lived 7 years (instead

  • f 10-12)

Telomere length (TL) with age

When cloning TL from somatic cell given to the clone

Regulation of TL

Telomerase Consists of TERT and TERC Telomerase down-regulated in all long-lived mammals 90% of carcinomas have active telomerase

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Telomerase regulation

Kim, W, et al. 2016, PLOS Biology

How to measure telomere length (TL)?

TRF (gold standard) qPCR Q-FISH STELA / TESLA DNA amount +++ + ++ ++ Labor intensity +++ + +++ ++ Skill level +++ + +++ ++ Longest TL + N/A ++ + Average TL +++ +++ ++ N/A Smallest TL + N/A ++ +++ TL per chromosome N/A N/A ++ +

Established techniques

Analysis of TL

TL is linear variable No different in analysis than BMI, age, etc. Classical epidemiology issues Confounding Reverse causality Usually measured in blood, not known how this links to other tissues Different cell types in blood Currently not considered, but should be

Lin, J, et al. 2015, J Immuno Research

TL and gender

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TL itself is genetically determined

Broer, L, et al. 2013, Eur J Hum Genet

70% of variability explained by genetics

Largest GWAS to date

N ~ 38,000 All loci associated with telomerase

Codd, V, et al. 2013, Nat Genet

Known TL associations Cardiovascular Cancer COPD Alzheimer’s Osteoarthritis Rheumatoid Arthritis Osteoporosis Macular Degeneration Depression Age-related hearing impairment BMI Smoking Leptin Stress Lung function Height Etc. Keep an eye on sample size though…

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TL and mortality

Biologically plausible Long telomeres higher replicative ability cellular senescence postponed live longer Cancer mortality hypothesized to be associated with both short AND long telomeres Only half of studies show association Performed in oldest-old (85+ at baseline) selection Solution Long follow-up

Results in Rotterdam Study (1,073 deaths, 674 censored)

Linear TL Short VS average TL Long VS average TL Mortality outcome beta se p-value beta se p-value beta se p-value All-cause

  • 0.130 0.032 4.18E-05

0.187 0.075 0.012 -0.098 0.077 0.203 Cancer 0.046 0.062 0.459 0.014 0.160 0.928 0.156 0.151 0.301 CHD

  • 0.245 0.057 1.82E-05

0.339 0.126 0.007 -0.235 0.140 0.093

Broer, L et al. Unpublished

Telomerase: the future is calling!

Experiments in mice with telomerase gene therapy Tissue degeneration reversed No increase in cancer! Increased lifespan Not known if this translates to humans 90% of carcinomas have active telomerase Seen as important step for cancer development First port of call: telomerase inactivation as cancer treatment Should only affect cancer cells!

De Jesus, BB et al., 2012, EMBO Mol Med Jaskelioff, M et al., 2011, Nature

“Imagine a drug that’s almost too effective at killing cancer cells” Worst side-effect: cytopenia (reduction in number of mature blood cells) Not surprising as myelofibrosis is a chronic blood cancer

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Rule breaker #2: Sex chromosomes Sex chromosome loss with age

Preferential loss of X-chromosome in women 0.07% at age <16 7.3% at age >65 Preferential loss of Y-chromosome in men 0.05% at age <15 1.34% at age >75 Currently primarily shown in lymphocytes Presence and/or rate of loss in other tissues unclear

Russell, LM et al., 2007, Cytogenet Genome Res Guttenbach, M et al., 1995, Am J Hum Genet

Inactive X-chromosome gets lost with age Measuring sex chromosome loss

In situ hybridization with chromosome-specific DNA probes At metaphase of cell cycle Using array intensities as proxy Mean intensity value of all SNPs on X or Y chromosome Negative intensity values indicate loss of chromosome

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Genetics of sex chromosome loss

Heritability 34% for Y loss 26% for X loss GWAS on Y loss 19 loci identified

Wright, DJ et al., 2017, nature Genetics

Known associations

Not much evidence yet, but a few have been described Decreased survival Increased cancer risk Smoking increases sex chromosome loss

Rule breaker #3: Mitochondrial DNA (mtDNA) Main function of mitochondria: ATP production

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Why do mitochondria have DNA? mtDNA

Most mitochondrial genes located in nuclear genome

How mtDNA differs Nuclear DNA Inherited from both parents Linear 3.2 billion base pairs 20,000 genes Varied by recombination Has introns Low mutation rate 2 copies mtDNA Inherited from mother only Circular 16,569 base pairs 37 genes No recombination No introns High mutation rate ~100-1,000 copies mtDNA measurements

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How to measure mtDNA

Copy number qPCR (gold standard) SNP arrays (under investigation) Sequence data (promising) Heteroplasmy Deep sequencing of mtDNA only r = 0.71

mtDNA copy number mtDNA copy number Known associations: mtDNA copy number (1)

60 70 80 90 100 5 10 15 20

Female Male

Age mtDNA copy number

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Known associations: mtDNA copy number (2)

Obesity Cancer CHD Diabetes Physical activity Smoking Frailty BMD Etc.

mtDNA copy number and mortality

Broer, L et al., unpublished

Mortality outcome beta se p-value All-cause

  • 0.085 0.027

0.002 Cancer

  • 0.120 0.056

0.034 CHD

  • 0.137 0.048

0.004 mtDNA heteroplasmy mtDNA heteroplasmy

Due to high mutation rate (5-15x nuclear genome) not all mtDNA molecules are identical Heteroplasmy: mixture of two or more mtDNA genotypes in the cell

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Difficulty with measuring mtDNA heteroplasmy

Nuclear MiTochondrial DNAs: NUMTs Blocks of mtDNA in nuclear genome with high homology Caused by ongoing process of organelle-to-nuclear DNA transfer NUMTs can thus differ between individuals Largest NUMT in humans covers 90% of mtDNA genome New sequencing method claims to have overcome this issue 1% frequency of heteroplasmy detectable

mtDNA heteroplasmy analysis

Unclear how to define for complex traits Overall Per mtDNA site Average burden per mtDNA molecule In healthy people, abundance of any given heteroplasmic site <1% Well below classical phenotypic expression threshold However, if enough heteroplasmic mutations are present they can still be deleterious Overall burden of heteroplasmy most likely of interest Burden in specific regions of mtDNA should not be ignored

Percentage of individuals harboring at least 1 heteroplasmic site

25% 75%

At birth

Heteroplasmic Homoplasmic 50% 50%

Adult

Heteroplasmic Homoplasmic

Number of heteroplasmies per individual

Zhang, R et al., 2017, BMC Genomics

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Frequency of observed heteroplasmies

Zhang, R et al., 2017, BMC Genomics

63% at MAF<5%

Location of heteroplasmies

Zhang, R et al., 2017, BMC Genomics

~14% known pathogenic

One example: 3243A>G

Most common pathogenic mtDNA point mutation Heteroplasmy of 50-90% MELAS syndrome Weakness of muscles throughout the body (M) Encephalopathy - central nervous system (E) Abnormal build-up of lactic acid (LA) Stroke (S) Lower levels of heteroplasmy associated with Autism Diabetes

Heteroplasmies might be curable

Theoretically all that is needed to treat mtDNA disease is to reduce the heteroplasmy level Reducing heteroplasmy is possible…in mice

Bacman, SR et al., 2018, Nat Med Gammage, PA et al., 2018, Nat Med

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The fourth rule breaker … somatic mutations Take-home messages

DNA is stable, but not everyone has received the memo Telomere length, sex chromosomes and mtDNA don’t follow our rules Neither do somatic mutations Studies have been small and/or incomplete Cell-type specificity often ignored Cause/effect often ignored Replication often not performed Telomere length and mtDNA copy number/heteroplasmy might be modifiable

Questions