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Genetics of Schizophrenia

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Title: Genetics of Schizophrenia


1
Genetics of Schizophrenia
  • Jon McClellan, MD
  • University of Washington
  • Disclosures Grants from NIH, Stanley Medical
    Foundation, NARSAD
  • No Industry Sponsored Research, Speakers Boards,
    or Consultation

2
Schizophrenia Genetics
  • Until recently, most widely quoted model in
    Psychiatric Genetics
  • Common Disease Common Allele Model
  • Polygenic model
  • Combined impact of common genetic variants, each
    with small effect on risk, plus interactions with
    environmental risk factors, results in the
    illness

3
  • Common Disease Rare Variants Model
  • Rare large effect mutations are responsible for
    substantial portion of schizophrenia, autism, and
    perhaps most complex illnesses
  • Individual mutations may be specific to single
    cases or families
  • Many different genes involved, each with many
    different disease-causing mutations
  • Human disease characterized by enormous genetic
    heterogeneity
  • McClellan and King, Cell 2010

4
How can Rare Mutations Explain a Common
Psychiatric Disorder?
  • The majority of human genes are involved with
    brain development
  • New mutations are common
  • Those that cause illnesses may only persist a few
    generations because of their negative
    consequences
  • Any gene important to an illness may be disrupted
    by 1000s of different mutations
  • Each mutation may be rare, but collectively the
    gene may be responsible for a substantial portion
    of cases (BRCA1)
  • Different mutations in different genes may
    disrupt related neurobiological pathways, leading
    to the same disorder

5
  • Genetic causes of complex disease must reflect
    evolutionary forces shaping the human genome

6
Human Migration
Adapted from Cavalli-Sforza Feldman, Nature
Genetics  33, 266 275, 2003
7
A village of a few hundred families, anywhere.
What of all human variation is
here? 10 50 80 90
8
Human Genetic Diversity
Adapted from Tishkoff Verrelli Annu Rev
Genomics Hum Genet 2003
9
Human Allelic Heterogeneity
  • The exponential growth of the human population
    has resulted in a vast number of new mutations
  • All possible mutations have occurred and will
    occur again
  • Each person harbors 175 de novo mutations
  • Recent alleles usually rare and specific to one
    population (or even one family)
  • Many are deleterious and do not persist beyond a
    few generations

10
Schizophrenia and Autism Caused by recent rare
large effect mutations?
  • Illnesses persist with similar prevalence
    world-wide
  • Familial Disorder, yet most cases sporadic
  • Persistence of Illness Despite Impact on
    Fertility
  • Environmental Exposures
  • Increased Risk associated with Paternal Age
  • Maternal Famine for Schizophrenia

11
Schizophrenia and Parental Age
Malaspina et al., Arch Gen Psychiatry 2001
12
Reichenberg et al., 2006, Arch Gen Psychiatry
13
Dutch Hongerwinter 1944-45
Susser et al. Arch Gen Psych 1996
14
Chinese Famine of 1959-60
Wuhu region of Anhui Province
St. Clair et al. JAMA 2005
15
Rare Structural Variants Disrupt Multiple Genes
in Neurodevelopmental Pathways in
Schizophrenia Tom Walsh, Jon M. McClellan, Shane
E. McCarthy, Anjené M. Addington, Sarah B.
Pierce, Greg M. Cooper, Alex S. Nord, Mary
Kusenda, Dheeraj Malhotra,Abhishek Bhandari,
Sunday M. Stray, Caitlin F. Rippey, Patricia
Roccanova, Vlad Makarov, B. Lakshmi, Robert L.
Findling, Linmarie Sikich, Thomas Stromberg,
Barry Merriman, Nitin Gogtay, Philip Butler,
Kristen Eckstrand, Laila Noory, Peter Gochman,
Robert Long, Zugen Chen, Sean Davis, Carl Baker,
Evan E. Eichler, Paul S. Meltzer, Stanley F.
Nelson, Andrew B. Singleton, Ming K. Lee, Judith
L. Rapoport, Mary-Claire King, Jonathan Sebat3
Science, 320539-43, 2008
16
Study Ties Genetic Variations to Schizophrenia
  • "You're basically screwing up the way that the
    regulation of brain growth occurs"
  • Jon McClellan, MD
  • Dad, "screwed up" is not a very professional
    phrase, it makes you sound kind of stupid
  • Tessa McClellan

17
Hypothesis
  • Rare copy number mutations affecting genes in
    neurodevelopmental pathways will be more common
    among persons with schizophrenia than among
    controls

18
Subjects
Cases 150 persons with schizophrenia or
schizoaffective disorder Controls 268 persons
age gt35 Free of signs of neurological or
psychiatric illness Same distribution of
self-reported ethnicities as cases
19
Copy Number Variants
Deletions
Duplications
20
Copy Number Variants
  • Deletions, duplications and inversions of DNA
  • Can involve thousands, or even millions, of
    basepairs
  • Most Copy Number Variants are benign and common
  • Copying errors that disrupt normal gene function
    can lead to disease.
  • Sebat et al., 2004

21
  • Definition of Rare CNVs
  • Not previously reported in Database of Genomic
    Variants (DGV)
  • Data from 1000s of individuals
  • CNV found either only in cases or only in
    controls
  • Mutation impacts one or more genes
  • 100kb or larger in size

22
Subset of Rare structural variants detected using
high density array CGH
23
Rare Structural Variants and Schizophrenia
  • Individuals with Schizophrenia significantly more
    likely to have a rare deletion or duplication (
    100 kb) impacting a gene
  • 15 vs 5 of healthy controls
  • Rate of rare mutations higher in early onset
    cases (20)
  • Each mutation was different, and impacted
    different genes
  • Genes disrupted in Schizophrenia cluster in
    pathways related to neurodevelopment, including
    glutamate and neuregulin pathways
  • Walsh et al., Science, 2008

24
  • So
  • What about other studies?

25
  • Enrichment of Rare Structural Variants replicated
    by several independent groups
  • 8-fold increased risk of de novo structural
    mutations in Sporadic Schizophrenia (Xu et al.,
    2008)
  • Higher frequency of rare duplications and
    deletions found in large samples of patients with
    schizophrenia (Stefansson et al., 2008
    International Schizophrenia Consortium, 2008)
  • Recurrent mutations at genomic Hotspots found
    in multiple cases
  • Several-fold increased risk for disorder (ORs gt
    5)

26
Genomic Hotspots
Nonallelic Homologous Recombination due to
Segmental Duplication
Genomic Hot Spots
27
ISC Nature 2008
28
  • Genomic Hotspots (so far)
  • 1q21.1, 3q29, 15q11.2, 15q13.3, 16p11.2, 16p12.1,
    16p13.11, 17p12, and 22q11.2
  • Duplications in the neuropeptide receptor VIPR2
  • And with better sequencing tools
  • Rare deleterious point mutations and indels
    detected in genes important to neurodevelopmental
    pathways
  • e.g., GRM1, MAP1A, GRIN2B, and NLGN
  • Critical pathways include glutamate functioning,
    synapse formation, signaling and brain
    development
  • Both rare De novo and inherited events may cause
    the disorder

29
Genomic Analysis of Schizophrenia
(GENESIS) R01MH083989
NIMH series gt5000 cases, family members gt5000
controls Raquel Gur, MGI, U Pennsylvania David
Braff, COGS, UC San Diego Robert Savage,
PAARTNERS, U Alabama Vish Nimgaonkar, GSS, U
Pittsburgh Genomic sequencing and analysis, U
Washington, Seattle Tom Walsh, Jack McClellan,
Ming K Lee, Anne Thornton, Amanda Watts, Sunday
Stray
30
Genomic Analysis of Schizophrenia
(GENESIS) Identification of de novo events
Trios with sporadic schizophrenia Affected
proband and unaffected parents Negative family
history of schizophrenia, bipolar disorder, or
major depression
Exome sequencing of proband and both parents
from blood-based DNA
31
Genomic Analysis of Schizophrenia (GENESIS)
Eventually 300 trios, presently 92 trios in
pipeline
First 22 trios 19 validated de novo mutations
in 19 different genes
32
Strong Association of De Novo Copy Number
Mutations with Autism Jonathan Sebat, B.
Lakshmi, Dheeraj Malhotra, Jennifer Troge,
Christa Lese-Martin, Tom Walsh, Boris Yamrom,
Seungtai Yoon, Alex Krasnitz, Jude Kendall,
Anthony Leotta, Deepa Pai,1 Ray Zhang, Yoon-Ha
Lee, James Hicks, Sarah J. Spence, Annette T.
Lee, Kaija Puura,6 Terho Lehtimäki, David
Ledbetter, Peter K. Gregersen, Joel Bregman,
James S. Sutcliffe, Vaidehi Jobanputra, Wendy
Chung, Dorothy Warburton, Mary-Claire King, David
Skuse, Daniel H. Geschwind, T. Conrad Gilliam,
Kenny Ye, Michael Wigler
Science, 316445-449, 2007
33
Rare Structural Variants and Autism
  • 10 of Individuals with Sporadic Autism have de
    novo duplications and deletions (gt 100kb, Sebat
    et al., 2007)
  • 2 of multiplex cases
  • 1 of controls
  • 7 of cases with Sporadic Autism vs 2 of
    multiplex cases have de novo CNVs (Marshall et
    al., 2008)
  • Replicated several times by independent groups

34
Rare Mutations and Autism
  • Genomic Hotspots
  • 1q21.1, 7q11.23, 15q13.3, 16p11.2, 16p13.11,
    17p12, and 22q11.2
  • 16p11.2 may explain 1 of cases

35
Rare Mutations and Autism
  • To date, rare deleterious mutations associated
    with Autism in gt 100 genes and gt 40 genomic loci
  • Genes disrupted associated with pathways critical
    for neurodevelopment, including synaptic
    development, neuronal cell-adhesion and ubiquitin
    degradation
  • Many of the same genes and hotspots are also
    associated with Schizophrenia

36
Rare Variants and Psychiatric Disease
  • Rare CNVs, point mutations and indels also
    reported for
  • Intellectual Disability
  • Tourette Disorder
  • ADHD
  • Bipolar Disorder
  • Some mutations/genes same as those found in
    Schizophrenia
  • Includes Genomic Hotspots

37
Genomics and Psychiatry
  • Autism, Schizophrenia , Intellectual Disability,
    Bipolar Disorder, ADHD and Tourette Disorder each
    associated with rare deleterious mutations that
    disrupt genes related to brain development
  • Many disease specific mutations appear to be
    either de novo, or of recent origin
  • Genes implicated involved in neural development

38
Genomics and Psychiatry
  • Most individuals have a different mutation
    involving different gene(s)
  • Genomic Hotspots may account for a higher
    proportion of cases
  • Some individuals are found to have more than one
    deleterious mutation in different genes/loci
  • Multi-hit model explains how some events are
    inherited from nonaffected persons
  • Adds further complexity to heritability of
    disorders

39
Same Gene, Different Disorder
40
Blackwood et al., 2001 AJHG
DISC1
18/29
41
Different Gene(s), Same Disorder
42
16p13.11
Developmental Delays ADHD Autism Schizophrenia
1q21.1
16p11.2
Macrocephaly Developmental Delays Autism
Developmental Delays Autism Schizophrenia Bipolar
Disorder
Developmental Delays Epilepsy
Microcephaly Developmental Delays Schizophrenia
Developmental Delays Autism
Developmental Delays Autism Schizophrenia Epilepsy

22q11.2
15q13.3
Developmental Delays Autism
Developmental Delays
Developmental Delays ADHD Autism Schizophrenia Bip
olar Disorder
Developmental Delays Autism Schizophrenia Epilepsy
NRXN1 CNTNAP2
43
  • Meanwhile.
  • The search for common risk alleles
  • Genome-wide Association Studies (GWAS) struggle
    with
  • Lack of replication
  • Small dwindling effect sizes (lt 1.5)
  • Lack of demonstrated biological relevance for
    disorder

44
  • Neuropsychiatric disorders characterized by
    marked genetic heterogeneity
  • Most affected individuals may have a different
    genetic cause
  • Multiple different mutations in multiple
    different genes/genomic loci may ultimately act
    by disrupting neuronal homeostasis (Ramocki
    Zoghbi, 2008)
  • Phenotypic differences may be due to timing and
    impact of mutation on development, plus other
    epistatic, epigenetic and/or environmental
    factors

45
So
  • Psychiatric diagnoses have clinical marked
    heterogeneity
  • and
  • Marked genetic heterogeneity characterizes most
    complex illnesses
  • Vast clinical and genetic heterogeneity likely
    explains why diagnostic issues are so complex and
    treatment response so variable across individuals
    with the same illness

46
Implications
  • DSM diagnostic categories may be too
    heterogeneous for major advances in
    neurobiological understanding of disorders
  • Research needs to focus on individuals grouped by
    disrupted neurobiological pathways/genes rather
    than by broadly defined syndromes

47
(No Transcript)
48
University of Washington Mary-Claire King Tom
Walsh Jack McClellan Sarah Pierce Cait
Rippey Diane Dickel Sunday Stray Ming K.
Lee Greg Cooper Carl Baker Evan Eichler Cold
Spring Harbor Laboratory Shane McCarthy Abishek
Bhandari Mary Kusenda Dheeraj
Malhotra Jonathan Sebat
NIH - NIMH Anjene Addington Judith
Rapoport NIH - NIA Andrew Singleton
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