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Il sequenziamento dei
     genomi sardi al CRS4


Francesco Cucca
INN-CNR


                             1
•  Humans and other living organisms all contain a digital project
   constituted by a linear sequence of different combinations of 4
   small chemical compounds, named nucleotides, which
   together constitute their DNA.

• Particular combinations of nucleotides specify the key
qualitative and quantitative instructions for the synthesis of
essential structural and operative components of the cell formed
by different combinations of 20 molecules named amino acids

 • In turn amino acids are linked to each other to form more
 complex molecules named proteins.
U   U   U   Phe   U   C   U   Ser   U   A   U   Tyr    U   G   U   Cys
U   U   C   Phe   U   C   C   Ser   U   A   C   Tyr    U   G   C   Cys
U   U   A   Leu   U   C   A   Ser   U   A   A   STOP   U   G   A   STOP
U   U   G   Leu   U   C   G   Ser   U   A   G   STOP   U   G   G   Trp
C   U   U   Leu   C   C   U   Pro   C   A   U   His    C   G   U   Arg
C   U   C   Leu   C   C   C   Pro   C   A   C   His    C   G   C   Arg
C   U   A   Leu   C   C   A   Pro   C   A   A   Gln    C   G   A   Arg
C   U   G   Leu   C   C   G   Pro   C   A   G   Gln    C   G   G   Arg
A   U   U   Ile   A   C   U   Thr   A   A   U   Asn    A   G   U   Ser
A   U   C   Ile   A   C   C   Thr   A   A   C   Asn    A   G   C   Ser
A   U   A   Ile   A   C   A   Thr   A   A   A   Lys    A   G   A   Arg
A   U   G   Met   A   C   G   Thr   A   A   G   Lys    A   G   G   Arg
G   U   U   Val   G   C   U   Ala   G   A   U   Asp    G   G   U   Gly
G   U   C   Val   G   C   C   Ala   G   A   C   Asp    G   G   C   Gly
G   U   A   Val   G   C   A   Ala   G   A   A   Glu    G   G   A   Gly
G   U   G   Val   G   C   G   Ala   G   A   G   Glu    G   G   G   Gly
•  While the basic composition of both DNA and protein building
   blocks and the translational system of one chemical language
   into the other is conserved, there is wide variation in the order
   of these block units in different organisms and individuals.


• This is because the DNA and deriving protein products are not
a static entity. Instead, DNA is subjected to a variety of different
types of heritable change known as mutation.

 •  Mutations often arise as copying errors during DNA replication.
 Although the fidelity of DNA replication is strikingly high,
 misincorporation occurs at a given frequency, known as
 mutation rate.
•  Modern humans originated ~100,000 years ago from pre-
   modern humans and represent a relatively homogenous
   species which has experienced a dramatic expansion during
   its recent evolutionary history.


•  Two unrelated human individuals on our planet are identical for
about 99.9% and thus differ for about 0.1% of their DNA content.


•  This means that there is approximately one change every
1000 nucleotides (our genome has an overall content of about
two copies of 3.3 billion nucleotides) when comparing the DNA
from two unrelated individuals.
This genetic variation has important medical consequences:


In simple mendelian traits, the relationship between the causal
genetic variant (genotype) and the disease state is deterministic.



In a complex trait such as MS, the disease state results from
interactions between multiple genotypes and the environment.
The influence of any individual causal allele tends to be modest
and the relationship between the causal variant and the disease
state is probabilistic.
Qualitative trait   Quantitative trait
                                         9
theoretical framework




R. A. Fisher, 1890-1962




                                                  10
POSSIBILI SIGNIFICATI DI UN’ASSOCIAZIONE




             ASSOCIAZIONE PRIMARIA CON LA
             VARIANTE CAUSALE




             ASSOCIAZIONE SECONDARIA DOVUTA
             A CONTIGUITA’




             ASSOCIAZIONE SPURIA DOVUTA A
             SUBSTRUTTURA DI POPOLAZIONE
Why a sequencing project?




                            12
The imperfect genome-wide search

  All Gene Chip Arrays contain SNPs chosen based on linkage
   disequilibrium (LD) observed in HapMap populations, a
   catalogue of ~ 3 million SNPs genotyped in Europeans,
   Asians, and Africans
The imperfect genome-wide search

  All Gene Chip Arrays contain SNPs chosen based on linkage
   disequilibrium (LD) observed in HapMap populations, a
   catalogue of ~ 3 million SNPs genotyped in Europeans,
   Asians, and Africans

  Studying a subset of 500,000 or 1 million is limitative
The imperfect genome-wide search
  All Gene Chip Arrays contain SNPs chosen based on linkage
   disequilibrium (LD) observed in HapMap populations, a
   catalogue of ~ 3 million SNPs genotyped in Europeans,
   Asians, and Africans

  Studying a subset of 500,000 or 1 million is limitative


                                   Power to detect disease associations
Causative           Tested         at a locus inversely correlates with
variant             variant        the r2 between typed(tested) and
                                   untyped (causative) SNPs
Why a sequencing project in Sardinia?
                                                    CROATIA
                                                                UKRAINE

                            SARDINIA
                                                                         HUNGARY


                                                                   POLAND




                CATALONIA

BASQUE COUNTRY
                                                                         GEORGIA

    ANDALUSIA




       CORSICA
                                                                 SICILY

            NORTH-CENTRAL
                ITALY
                                 ALBANIA                      CALABRIA
                                     GREECE
                                         LEBANON   TURKEY
Why a sequencing project in
                                                  Sardinia?
                                                                                                                                SAAMI




                                                                                                                                                     UDMURT




                                                                                                                                                      MARI




                                                                 CZECH AND SLOVAKIAN


                                         DUTCH
                                                                                                   UKRAINIAN




                                FRENCH



                                                                                   POLISH




                                                                                                      HUNGARIAN
                                                                              CROATIAN

                                                                                                                                                                                  GEORGIAN




                                                 CENTRAL-NORTHERN ITALIAN



                                                                                                                              MACEDONIAN




                                                                                                           ALBANIAN




              SPANISH BASQUES

                                                                                       CALABRIAN

                                                                                                                                           TURKISH

                                                                                                                                                                         SYRIAN

 ANDALUSIAN

                                                                                                                      GREEK

                                                                                                                                                              LEBANESE




MOROCCO




                                                                                                                                                                                             17
What samples to sequence in
           Sardinia?

•  ProgeNIA study

•  Case-Control studies

•  Future work
ProgeNIA

6.148 volontari



                              Arzana



                      Elini
                                       Ilbono



                  Lanusei




                                                19
ProgeNIA/SardiNIA project
 6,148 individuals - aged 14-102 y.

95% are known to have all grandparents born in Sardinia


 711 pedigrees up to 5 generations deep

  Largest family: 625 phenotyped individuals

 >34,000 relatives pairs


                                            Pilia et al. PLoS Genet. 2006
> 150 quantitative traits
  Anthropometric Measurements
Height, Weight, Hip, Waist, BMI

  Blood Chemistry Components
 LDL, HDL, TG, Insulin, RBC, MCH, MCV, Bilirubin, hsCRP, MCP-1, IL-6,
etc.

  Cardiovascular Traits
HR, SBP, DBP, PP, PWV, IMT, QT, etc

  Personality Facets
Neuroticism, Extraversion, Openess, Agreeableness, Coscientiousness, etc.


  New   traits will be added soon (immunological traits).

 Cytokines
Case-control samples

•  The special case of autoimmune diseases




                                             22
10
                                                                            42


                                                                           36
                                                        21
                                                             26
                                   20 23
                                                                            10       6
                                                   22                        8
                                  7      13   13                            6
                                       19
                                                  13
                                                     7            6
                                              10 15
                                                                  12
                                                       12        7
                                          8        8         9         9
                                                 10     6                       7
                          19      11                9.8
                                               12 8                    7
                         14    12                                                5
                                                    8
                            15                         6
                                              42                           6
                                                                            9
                                                             12
                                               7                                         15
*Adapted from EURODIAB                                                      18            8
                                                                                         5
119
                                                                                       165

                                                                                 74
                                                                                             93
                                                                             120
                                                                                      153
                                                      186 187                                              60
                                                                                                 56
                                                                           112                    55
                                                     135
                                                            126      76                          35
                                                                                       55
                                                                     86 83
                                                                                     62
                                                                50    112          83
                                                                         81         50                21
                                           47        55                                     42
                                                                          65
                                                39                          55                        39
                                                                                   6        10
                                                                     140
                                                                                                 31
                                                                                   61
Pugliatti et al (EBC), Eur J Neurol 2006
                                                                      10                                        68   7
                                                                                                 17             29
70                        70                        70

60                        60                        60
50                        50                        50

40                        40                        40
30                        30                        30
20                        20                        20

10                        10                        10
0                         0                         0
     Pazienti Controlli        Pazienti Controlli        Pazienti Controlli
How many samples to
        sequence?

• Is it necessary to sequence all
  people analysed?




                                    28
•  Observed genotypes


• Inferred DNA stretches
sharing along
chromosome

 • Inferred missing
 genotypes according
 to chromosome
 sharing



  Chen and Abecasis AJHG 2008

  Burdick et al. Nat. Genet. 2006
1) Identify Match Among
                Reference
Individuals in study sample
. . A A . . . . . . . . A . . . . A . . .
. . G A . . . . . . . . C . . . . A . . .

Observed HapMap Chromosomes
C G A G A T C T C C T T C     T   T   C   T   G   T   G   C
C G A A A T C T C C C G A     C   C   T   C   A   T   G   G
C C A A G C T C T T T T C     T   T   C   T   G   T   G   C
C G A A G C T C T T T T C     T   T   C   T   G   T   G   C
C G A G A C T C T C C G A     C   C   T   T   A   T   G   C
T G G A A T C T C C C G A     C   C   T   C   A   T   G   G
C G A G A T C T C C C G A     C   C   T   T   G   T   G   C
C G A G A C T C T T T T C     T   T   T   T   A   T   A   C
C G A G A C T C T C C G A     C   C   T   C   G   T   G   C
C G G A G C T C T T T T C     T   T   C   T   G   T   G   C
1) Identify Match Among
             Reference
Individuals in study sample
. . A A . . . . . . . . A . . . . A . . .
. . G A . . . . . . . . C . . . . A . . .

Observed HapMap Chromosomes
C G A G A T C T C C T T C     T   T   C   T   G   T   G   C
C G A A A T C T C C C G A     C   C   T   C   A   T   G   G
C C A A G C T C T T T T C     T   T   C   T   G   T   G   C
C G A A G C T C T T T T C     T   T   C   T   G   T   G   C
C G A G A C T C T C C G A     C   C   T   T   A   T   G   C
T G G A A T C T C C C G A     C   C   T   C   A   T   G   G
C G A G A T C T C C C G A     C   C   T   T   G   T   G   C
C G A G A C T C T T T T C     T   T   T   T   A   T   A   C
C G A G A C T C T C C G A     C   C   T   C   G   T   G   C
C G G A G C T C T T T T C     T   T   C   T   G   T   G   C
1) Identify Match Among
             Reference
Individuals in study sample
. . A A . . . . . . . . A . . . . A . . .
. . G A . . . . . . . . C . . . . A . . .

Observed HapMap Chromosomes
C G A G A T C T C C T T C     T   T   C   T   G   T   G   C
C G A A A T C T C C C G A     C   C   T   C   A   T   G   G
C C A A G C T C T T T T C     T   T   C   T   G   T   G   C
C G A A G C T C T T T T C     T   T   C   T   G   T   G   C
C G A G A C T C T C C G A     C   C   T   T   A   T   G   C
T G G A A T C T C C C G A     C   C   T   C   A   T   G   G
C G A G A T C T C C C G A     C   C   T   T   G   T   G   C
C G A G A C T C T T T T C     T   T   T   T   A   T   A   C
C G A G A C T C T C C G A     C   C   T   C   G   T   G   C
C G G A G C T C T T T T C     T   T   C   T   G   T   G   C
1) Identify Match Among
             Reference
Individuals in study sample
. . A A . . . . . . . . A . . . . A . . .
. . G A . . . . . . . . C . . . . A . . .

Observed HapMap Chromosomes
C G A G A T C T C C T T C     T   T   C   T   G   T   G   C
C G A A A T C T C C C G A     C   C   T   C   A   T   G   G
C C A A G C T C T T T T C     T   T   C   T   G   T   G   C
C G A A G C T C T T T T C     T   T   C   T   G   T   G   C
C G A G A C T C T C C G A     C   C   T   T   A   T   G   C
T G G A A T C T C C C G A     C   C   T   C   A   T   G   G
C G A G A T C T C C C G A     C   C   T   T   G   T   G   C
C G A G A C T C T T T T C     T   T   T   T   A   T   A   C
C G A G A C T C T C C G A     C   C   T   C   G   T   G   C
C G G A G C T C T T T T C     T   T   C   T   G   T   G   C
2) Phase Chromosome

Individuals in study sample
. . A A . . . . . . . . A . . . . A . . .
. . G A . . . . . . . . C . . . . A . . .

Observed HapMap Chromosomes
C G A G A T C T C C T T C     T   T   C   T   G   T   G   C
C G A A A T C T C C C G A     C   C   T   C   A   T   G   G
C C A A G C T C T T T T C     T   T   C   T   G   T   G   C
C G A A G C T C T T T T C     T   T   C   T   G   T   G   C
C G A G A C T C T C C G A     C   C   T   T   A   T   G   C
T G G A A T C T C C C G A     C   C   T   C   A   T   G   G
C G A G A T C T C C C G A     C   C   T   T   G   T   G   C
C G A G A C T C T T T T C     T   T   T   T   A   T   A   C
C G A G A C T C T C C G A     C   C   T   C   G   T   G   C
C G G A G C T C T T T T C     T   T   C   T   G   T   G   C
3) Impute Missing Genotypes

Individuals in study sample
C G A A A T C T C C C G A C C T C A T G G
C G G A G C T C T T T T C T T T T A T G C

Observed HapMap Chromosomes
C G A G A T C T C C T T C     T   T   C   T   G   T   G   C
C G A A A T C T C C C G A     C   C   T   C   A   T   G   G
C C A A G C T C T T T T C     T   T   C   T   G   T   G   C
C G A A G C T C T T T T C     T   T   C   T   G   T   G   C
C G A G A C T C T C C G A     C   C   T   T   A   T   G   C
T G G A A T C T C C C G A     C   C   T   C   A   T   G   G
C G A G A T C T C C C G A     C   C   T   T   G   T   G   C
C G A G A C T C T T T T C     T   T   T   T   A   T   A   C
C G A G A C T C T C C G A     C   C   T   C   G   T   G   C
C G G A G C T C T T T T C     T   T   C   T   G   T   G   C
Recent updates

  We used whole-genome sequences of 52 Europeans available
   from the 1,000 Genomes Project to infer ~6.6 million markers
   in individuals typed with the higher density chip…..

  …. then with imputation method we inferred the 6.6 million
   markers to all individuals and performed a GWAS

  This :
     Provides a fine mapping for previously discovered loci
    May show new loci that were poorly tagged by the previous set
     of SNPs
GWAS finding

Mostly all of the loci detected by GWAS only explain a small
 fraction of the heritability

               Trait    Heritability   So far explained

             HbF           ~60%             ~17%
             Height        ~80%             ~4%
             BMI           ~40%             ~1%


Smaller is the effect size, larger is the sample size required to
  maintain adequate power
Shankar Balasubramanian   David Klenerman
                                            38
39
ProgeNIA Team Lanusei-Cagliari


Manuela Uda                                  Monica Lai
Serena Sanna                                 Anna Cau
Eleonora Porcu                               Barbara Deiana
Ilenia Zara                                  Monica Balloi
Carlo Sidore                                 Maria Grazia Piras
Maristella Steri                             Gianluca Usala
Marco Masala                                 Antonella Mulas
Gianmauro Cuccuru                            Andrea Maschio
Angelo Scuteri                               Fabio Busonero
Marco OrrĂš                                   Sandra Lai
Maria Grazia Pilia                           Mariano Dei
Danilo Fois
Liana Ferreli                                Laura Crisponi
Francesco Loi                                Silvia Naitza
                                             Caterina Flore
                                             Simona Foddi

         Giuseppe Pilia, Ideatore e Fondatore del Progetto ProgeNIA
Acknowledgements:
Paolo Zanella
Chris Jones
Roman Tirler

Antonio Cao
Giuseppe Pilia

David Schlessinger
Goncalo Abecasis
John Todd

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Il sequenziamento dei genomi sardi al CRS4 Francesco Cucca (University of Sassari and INN-CNR)

  • 1. Il sequenziamento dei genomi sardi al CRS4 Francesco Cucca INN-CNR 1
  • 2. •  Humans and other living organisms all contain a digital project constituted by a linear sequence of different combinations of 4 small chemical compounds, named nucleotides, which together constitute their DNA. • Particular combinations of nucleotides specify the key qualitative and quantitative instructions for the synthesis of essential structural and operative components of the cell formed by different combinations of 20 molecules named amino acids • In turn amino acids are linked to each other to form more complex molecules named proteins.
  • 3.
  • 4.
  • 5. U U U Phe U C U Ser U A U Tyr U G U Cys U U C Phe U C C Ser U A C Tyr U G C Cys U U A Leu U C A Ser U A A STOP U G A STOP U U G Leu U C G Ser U A G STOP U G G Trp C U U Leu C C U Pro C A U His C G U Arg C U C Leu C C C Pro C A C His C G C Arg C U A Leu C C A Pro C A A Gln C G A Arg C U G Leu C C G Pro C A G Gln C G G Arg A U U Ile A C U Thr A A U Asn A G U Ser A U C Ile A C C Thr A A C Asn A G C Ser A U A Ile A C A Thr A A A Lys A G A Arg A U G Met A C G Thr A A G Lys A G G Arg G U U Val G C U Ala G A U Asp G G U Gly G U C Val G C C Ala G A C Asp G G C Gly G U A Val G C A Ala G A A Glu G G A Gly G U G Val G C G Ala G A G Glu G G G Gly
  • 6. •  While the basic composition of both DNA and protein building blocks and the translational system of one chemical language into the other is conserved, there is wide variation in the order of these block units in different organisms and individuals. • This is because the DNA and deriving protein products are not a static entity. Instead, DNA is subjected to a variety of different types of heritable change known as mutation. •  Mutations often arise as copying errors during DNA replication. Although the fidelity of DNA replication is strikingly high, misincorporation occurs at a given frequency, known as mutation rate.
  • 7. •  Modern humans originated ~100,000 years ago from pre- modern humans and represent a relatively homogenous species which has experienced a dramatic expansion during its recent evolutionary history. •  Two unrelated human individuals on our planet are identical for about 99.9% and thus differ for about 0.1% of their DNA content. •  This means that there is approximately one change every 1000 nucleotides (our genome has an overall content of about two copies of 3.3 billion nucleotides) when comparing the DNA from two unrelated individuals.
  • 8. This genetic variation has important medical consequences: In simple mendelian traits, the relationship between the causal genetic variant (genotype) and the disease state is deterministic. In a complex trait such as MS, the disease state results from interactions between multiple genotypes and the environment. The influence of any individual causal allele tends to be modest and the relationship between the causal variant and the disease state is probabilistic.
  • 9. Qualitative trait Quantitative trait 9
  • 10. theoretical framework R. A. Fisher, 1890-1962 10
  • 11. POSSIBILI SIGNIFICATI DI UN’ASSOCIAZIONE ASSOCIAZIONE PRIMARIA CON LA VARIANTE CAUSALE ASSOCIAZIONE SECONDARIA DOVUTA A CONTIGUITA’ ASSOCIAZIONE SPURIA DOVUTA A SUBSTRUTTURA DI POPOLAZIONE
  • 12. Why a sequencing project? 12
  • 13. The imperfect genome-wide search   All Gene Chip Arrays contain SNPs chosen based on linkage disequilibrium (LD) observed in HapMap populations, a catalogue of ~ 3 million SNPs genotyped in Europeans, Asians, and Africans
  • 14. The imperfect genome-wide search   All Gene Chip Arrays contain SNPs chosen based on linkage disequilibrium (LD) observed in HapMap populations, a catalogue of ~ 3 million SNPs genotyped in Europeans, Asians, and Africans   Studying a subset of 500,000 or 1 million is limitative
  • 15. The imperfect genome-wide search   All Gene Chip Arrays contain SNPs chosen based on linkage disequilibrium (LD) observed in HapMap populations, a catalogue of ~ 3 million SNPs genotyped in Europeans, Asians, and Africans   Studying a subset of 500,000 or 1 million is limitative Power to detect disease associations Causative Tested at a locus inversely correlates with variant variant the r2 between typed(tested) and untyped (causative) SNPs
  • 16. Why a sequencing project in Sardinia? CROATIA UKRAINE SARDINIA HUNGARY POLAND CATALONIA BASQUE COUNTRY GEORGIA ANDALUSIA CORSICA SICILY NORTH-CENTRAL ITALY ALBANIA CALABRIA GREECE LEBANON TURKEY
  • 17. Why a sequencing project in Sardinia? SAAMI UDMURT MARI CZECH AND SLOVAKIAN DUTCH UKRAINIAN FRENCH POLISH HUNGARIAN CROATIAN GEORGIAN CENTRAL-NORTHERN ITALIAN MACEDONIAN ALBANIAN SPANISH BASQUES CALABRIAN TURKISH SYRIAN ANDALUSIAN GREEK LEBANESE MOROCCO 17
  • 18. What samples to sequence in Sardinia? •  ProgeNIA study •  Case-Control studies •  Future work
  • 19. ProgeNIA 6.148 volontari Arzana Elini Ilbono Lanusei 19
  • 20. ProgeNIA/SardiNIA project  6,148 individuals - aged 14-102 y. 95% are known to have all grandparents born in Sardinia  711 pedigrees up to 5 generations deep Largest family: 625 phenotyped individuals  >34,000 relatives pairs Pilia et al. PLoS Genet. 2006
  • 21. > 150 quantitative traits   Anthropometric Measurements Height, Weight, Hip, Waist, BMI   Blood Chemistry Components LDL, HDL, TG, Insulin, RBC, MCH, MCV, Bilirubin, hsCRP, MCP-1, IL-6, etc.   Cardiovascular Traits HR, SBP, DBP, PP, PWV, IMT, QT, etc   Personality Facets Neuroticism, Extraversion, Openess, Agreeableness, Coscientiousness, etc.   New traits will be added soon (immunological traits).  Cytokines
  • 22. Case-control samples •  The special case of autoimmune diseases 22
  • 23.
  • 24. 10 42 36 21 26 20 23 10 6 22 8 7 13 13 6 19 13 7 6 10 15 12 12 7 8 8 9 9 10 6 7 19 11 9.8 12 8 7 14 12 5 8 15 6 42 6 9 12 7 15 *Adapted from EURODIAB 18 8 5
  • 25.
  • 26. 119 165 74 93 120 153 186 187 60 56 112 55 135 126 76 35 55 86 83 62 50 112 83 81 50 21 47 55 42 65 39 55 39 6 10 140 31 61 Pugliatti et al (EBC), Eur J Neurol 2006 10 68 7 17 29
  • 27. 70 70 70 60 60 60 50 50 50 40 40 40 30 30 30 20 20 20 10 10 10 0 0 0 Pazienti Controlli Pazienti Controlli Pazienti Controlli
  • 28. How many samples to sequence? • Is it necessary to sequence all people analysed? 28
  • 29. •  Observed genotypes • Inferred DNA stretches sharing along chromosome • Inferred missing genotypes according to chromosome sharing Chen and Abecasis AJHG 2008 Burdick et al. Nat. Genet. 2006
  • 30. 1) Identify Match Among Reference Individuals in study sample . . A A . . . . . . . . A . . . . A . . . . . G A . . . . . . . . C . . . . A . . . Observed HapMap Chromosomes C G A G A T C T C C T T C T T C T G T G C C G A A A T C T C C C G A C C T C A T G G C C A A G C T C T T T T C T T C T G T G C C G A A G C T C T T T T C T T C T G T G C C G A G A C T C T C C G A C C T T A T G C T G G A A T C T C C C G A C C T C A T G G C G A G A T C T C C C G A C C T T G T G C C G A G A C T C T T T T C T T T T A T A C C G A G A C T C T C C G A C C T C G T G C C G G A G C T C T T T T C T T C T G T G C
  • 31. 1) Identify Match Among Reference Individuals in study sample . . A A . . . . . . . . A . . . . A . . . . . G A . . . . . . . . C . . . . A . . . Observed HapMap Chromosomes C G A G A T C T C C T T C T T C T G T G C C G A A A T C T C C C G A C C T C A T G G C C A A G C T C T T T T C T T C T G T G C C G A A G C T C T T T T C T T C T G T G C C G A G A C T C T C C G A C C T T A T G C T G G A A T C T C C C G A C C T C A T G G C G A G A T C T C C C G A C C T T G T G C C G A G A C T C T T T T C T T T T A T A C C G A G A C T C T C C G A C C T C G T G C C G G A G C T C T T T T C T T C T G T G C
  • 32. 1) Identify Match Among Reference Individuals in study sample . . A A . . . . . . . . A . . . . A . . . . . G A . . . . . . . . C . . . . A . . . Observed HapMap Chromosomes C G A G A T C T C C T T C T T C T G T G C C G A A A T C T C C C G A C C T C A T G G C C A A G C T C T T T T C T T C T G T G C C G A A G C T C T T T T C T T C T G T G C C G A G A C T C T C C G A C C T T A T G C T G G A A T C T C C C G A C C T C A T G G C G A G A T C T C C C G A C C T T G T G C C G A G A C T C T T T T C T T T T A T A C C G A G A C T C T C C G A C C T C G T G C C G G A G C T C T T T T C T T C T G T G C
  • 33. 1) Identify Match Among Reference Individuals in study sample . . A A . . . . . . . . A . . . . A . . . . . G A . . . . . . . . C . . . . A . . . Observed HapMap Chromosomes C G A G A T C T C C T T C T T C T G T G C C G A A A T C T C C C G A C C T C A T G G C C A A G C T C T T T T C T T C T G T G C C G A A G C T C T T T T C T T C T G T G C C G A G A C T C T C C G A C C T T A T G C T G G A A T C T C C C G A C C T C A T G G C G A G A T C T C C C G A C C T T G T G C C G A G A C T C T T T T C T T T T A T A C C G A G A C T C T C C G A C C T C G T G C C G G A G C T C T T T T C T T C T G T G C
  • 34. 2) Phase Chromosome Individuals in study sample . . A A . . . . . . . . A . . . . A . . . . . G A . . . . . . . . C . . . . A . . . Observed HapMap Chromosomes C G A G A T C T C C T T C T T C T G T G C C G A A A T C T C C C G A C C T C A T G G C C A A G C T C T T T T C T T C T G T G C C G A A G C T C T T T T C T T C T G T G C C G A G A C T C T C C G A C C T T A T G C T G G A A T C T C C C G A C C T C A T G G C G A G A T C T C C C G A C C T T G T G C C G A G A C T C T T T T C T T T T A T A C C G A G A C T C T C C G A C C T C G T G C C G G A G C T C T T T T C T T C T G T G C
  • 35. 3) Impute Missing Genotypes Individuals in study sample C G A A A T C T C C C G A C C T C A T G G C G G A G C T C T T T T C T T T T A T G C Observed HapMap Chromosomes C G A G A T C T C C T T C T T C T G T G C C G A A A T C T C C C G A C C T C A T G G C C A A G C T C T T T T C T T C T G T G C C G A A G C T C T T T T C T T C T G T G C C G A G A C T C T C C G A C C T T A T G C T G G A A T C T C C C G A C C T C A T G G C G A G A T C T C C C G A C C T T G T G C C G A G A C T C T T T T C T T T T A T A C C G A G A C T C T C C G A C C T C G T G C C G G A G C T C T T T T C T T C T G T G C
  • 36. Recent updates   We used whole-genome sequences of 52 Europeans available from the 1,000 Genomes Project to infer ~6.6 million markers in individuals typed with the higher density chip…..   …. then with imputation method we inferred the 6.6 million markers to all individuals and performed a GWAS   This :  Provides a fine mapping for previously discovered loci  May show new loci that were poorly tagged by the previous set of SNPs
  • 37. GWAS finding Mostly all of the loci detected by GWAS only explain a small fraction of the heritability Trait Heritability So far explained HbF ~60% ~17% Height ~80% ~4% BMI ~40% ~1% Smaller is the effect size, larger is the sample size required to maintain adequate power
  • 38. Shankar Balasubramanian David Klenerman 38
  • 39. 39
  • 40. ProgeNIA Team Lanusei-Cagliari Manuela Uda Monica Lai Serena Sanna Anna Cau Eleonora Porcu Barbara Deiana Ilenia Zara Monica Balloi Carlo Sidore Maria Grazia Piras Maristella Steri Gianluca Usala Marco Masala Antonella Mulas Gianmauro Cuccuru Andrea Maschio Angelo Scuteri Fabio Busonero Marco OrrĂš Sandra Lai Maria Grazia Pilia Mariano Dei Danilo Fois Liana Ferreli Laura Crisponi Francesco Loi Silvia Naitza Caterina Flore Simona Foddi Giuseppe Pilia, Ideatore e Fondatore del Progetto ProgeNIA
  • 41.
  • 42.
  • 43. Acknowledgements: Paolo Zanella Chris Jones Roman Tirler Antonio Cao Giuseppe Pilia David Schlessinger Goncalo Abecasis John Todd