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2009 Vienna - European Society of Human Genetics

2009 Vienna - European Society of Human Genetics

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Evolutionary and population genetics, and Genetic epidemiology<br />

an approach for genome-wide interaction analysis that overcomes the<br />

computational issue by prioritizing SNPs for interaction analysis using<br />

a priori information. Sources <strong>of</strong> information can be biological relevance<br />

(common pathway, gene location ...) or statistical evidence (single<br />

marker association at a moderate level). We present a respective s<strong>of</strong>tware<br />

product that implements different approaches to joint analysis <strong>of</strong><br />

multiple SNPs (full modelling <strong>of</strong> marginal and interaction effects as well<br />

as explicit testing for association with a log-linear model). Moreover,<br />

link to databases with the relevant biological information is provided.<br />

We also present the results from an application to a GWAS.<br />

P10.37<br />

Hereditary Nervous system Diseases in Rostov Region<br />

N. A. D. Z. Vetrova, N. Vetrova, S. Amelina;<br />

Rostov Medical Institute, Rostov, Russian Federation.<br />

Research <strong>of</strong> Hereditary Nervous System Diseases is important for the<br />

following reasons: their prevalence among neurological disorders is<br />

high. Many patients develop mental and physical handicap leading to<br />

severe disability. The population <strong>of</strong> eight districts was examined to access<br />

prevalence <strong>of</strong> hereditary nervous system disorders in Rostov Region.<br />

Data collection and processing were done according to the protocol<br />

<strong>of</strong> Genetic Epidemiology Laboratory <strong>of</strong> Medical Centre in Moscow.<br />

The neuromuscular disorders in Rostov Region’ population composes<br />

30.62% <strong>of</strong> all hereditary nervous system diseases. Their prevalence is<br />

19.94 per 100,000 population. Hereditary Sensory-Motor Neuropathy<br />

was prevailing not only in the group <strong>of</strong> neuromuscular diseases, but<br />

also in hereditary nervous system disorders group. Total <strong>of</strong> 28 cases<br />

were identified in 15 families. The prevalence was 8.72 per 100,000<br />

population. DNA testing was performed to identify dup mutation in<br />

gene RMR22 in all patients.<br />

This study identified 13 cases <strong>of</strong> Duchene/Becker Muscular Dystrophy<br />

in 10 families. Prevalence was 8,10 per 100,000 male population.<br />

DNA testing was performed to identify mutations in gene DMD in 9<br />

families.<br />

Other common disorders such as oligophrenia, microcephaly and<br />

congenital hydrocephalus comprise 47.6 % <strong>of</strong> all hereditary nervous<br />

system diseases in Rostov Region; prevalence was 30,85 per 100,000<br />

population.<br />

Hereditary Nervous System Diseases, Duchenne/Becker Muscular<br />

Dystrophy, Neur<strong>of</strong>ibromatosis and Tuberous Sclerosis are prevaling<br />

disorders among Rostov Region’s population. All this diseases are<br />

single gene disorders, which is also true for Russian Federation neuropathology<br />

spectrum.<br />

P10.38<br />

confounding factors in testing parent-<strong>of</strong>-origin effects:<br />

illustration with Hirschsprung disease genetics.<br />

A. Jannot 1,2 , J. Amiel 2,3 , A. Pelet 2,3 , S. Lyonnet 2,3 , F. Clerget-Darpoux 1,4 ;<br />

1 INSERM U535, Villejuif Cedex, France, 2 INSERM U781, Paris, France, 3 Université<br />

Paris Descartes, Faculté de médecine, Paris, France, 4 Université Paris<br />

-sud, Villejuif, France.<br />

Parent-<strong>of</strong>-origin effect may be tested on affected sib pairs or trio family<br />

data by comparing paternal and maternal transmission to the affected<br />

cases. However, the conclusion <strong>of</strong> these tests is not robust to non random<br />

parental mating. In particular, we demonstrate, through theoretical<br />

modelling, that reduced fertility and spermatic fitness can mimic a<br />

parent-<strong>of</strong>-origin effect both for sib pairs and case-parents trios. In order<br />

to distinguish between true parent-<strong>of</strong>-origin effect and bias resulting<br />

from reduced fertility, we propose here a method which combines the<br />

information on trios and sib-pairs.<br />

We illustrate our findings with the International Hirschsprung disease<br />

(HSCR) Consortium data. RET is the major HSCR locus and a parent-<strong>of</strong>-origin<br />

effect has been suspected. Both the strong sex-ratio in<br />

favour <strong>of</strong> females combined with a poor prognosis and the involvement<br />

<strong>of</strong> RET in spermatogenesis have led to challenge a parent-<strong>of</strong>-origin<br />

effect. Indeed, by combining the results <strong>of</strong> affected sib-pairs and trios,<br />

we show that a reduced fertility is the most likely mechanism to explain<br />

the observed allele sharing distortion in HSCR.<br />

P10.39<br />

Worldwide HLA class i and ii Diversity<br />

N. M. Qutob, A. Manica, F. Balloux;<br />

Department <strong>of</strong> Zoology, University <strong>of</strong> Cambridge, Cambridge, United Kingdom.<br />

The <strong>Human</strong> Leukocyte Antigen (HLA) is a key component <strong>of</strong> the immune<br />

system <strong>of</strong> vertebrate as it is responsible for the recognition and<br />

presentation <strong>of</strong> antigens and comprises the most polymorphic genes<br />

in vertebrates. Numerous hypotheses have been proposed to explain<br />

how this diversity could be maintained. One such hypothesis (called<br />

Pathogen-Driven Balancing Selection) states that different alleles provide<br />

protection against different pathogens. A prediction under this<br />

hypothesis is that populations exposed to a wider variety <strong>of</strong> diseases<br />

should be characterised by higher diversity at their HLA genes. This<br />

prediction has recently received some support in humans when it was<br />

shown that once past demography was accounted for, there is a positive<br />

correlation between HLA class I within-population genetic diversity<br />

and the number <strong>of</strong> endemic diseases found in that area.<br />

My work involves compiling a large database <strong>of</strong> HLA allele frequencies<br />

from human populations worldwide, including class I and II genes.<br />

One limitation <strong>of</strong> previous work was that a very simple measure <strong>of</strong><br />

genetic diversity was computed, and the different alleles were simply<br />

considered as identical or different. Thus, my work involves using more<br />

refined measures <strong>of</strong> genetic diversity and focuses on the residues<br />

forming the Peptide Binding Region (PBR), as these are the expected<br />

target <strong>of</strong> natural selection.<br />

The work indicates that the geographic apportionment <strong>of</strong> HLA diversity<br />

is the product <strong>of</strong> both past demography and complex selective pressures.<br />

It also highlights the complexity <strong>of</strong> the selective process, with<br />

the likely involvement <strong>of</strong> coevolution with KIR genes and marks differences<br />

between different classes <strong>of</strong> genes.<br />

P10.40<br />

HLA polymorphisms in são tomé and Príncipe Archipelago<br />

(West-Africa)<br />

N. Saldanha, A. Lemos, A. Brehm, C. Spínola, H. Spínola;<br />

<strong>Human</strong> <strong>Genetics</strong> Laboratory, Funchal, Portugal.<br />

HLA-A, HLA-B, and HLA-DRB1 loci polymorphisms were high-resolution<br />

typed through sequence based typing in Forros and Angolares<br />

ethnic groups from São Tomé and Príncipe archipelago (West-Africa).<br />

The most frequent HLA-A alleles found in Forros were A*0201,<br />

A*2301 and A*6802, with 13% each. With a similar frequency (14%),<br />

HLA-A*6802 was also a very common allele in Angolares, followed by<br />

A*2301 (9.2%). HLA-B*5301 was the most frequent HLA-B allele in both<br />

Forros (19%) and Angolares (24%). The most recurrent HLA-DRB1<br />

alleles in São Tomé and Príncipe population were HLA-DRB1*0301<br />

(12% in Forros and 18% in Angolares) and HLA-DRB1*1503 (11% in<br />

both Forros and Angolares). Haplotypes A*6802-B*0702-DRB1*1301<br />

in Forros (3%) and A*6802-B*5301-DRB1*0804 in Angolares (4.7%)<br />

were the most common three loci found in each group.<br />

Phylogenetic analysis reveals the West Coast <strong>of</strong> Africa as being the<br />

place <strong>of</strong> origin <strong>of</strong> São Tomé and Príncipe main genetic pool, specifically<br />

the area comprised between Guinea-Bissau and the Gulf <strong>of</strong> Guinea.<br />

Forros and Angolares systematically cluster together in phylogenetic<br />

analysis and are not statistically different, making the hypothesis that<br />

Angolares are descendents <strong>of</strong> slaves who escaped from plantations<br />

and kept themselves resistant to miscegenation plausible.<br />

P10.41<br />

Genomic runs <strong>of</strong> homozygosity: population history and disease<br />

R. McQuillan1 , M. Kirin1 , C. S. Franklin1 , V. Vitart2 , P. McKeigue1 , A. F. Wright2 ,<br />

H. Campbell1 , J. F. Wilson1 ;<br />

1 2 University <strong>of</strong> Edinburgh, Edinburgh, United Kingdom, Medical Research<br />

Council <strong>Human</strong> <strong>Genetics</strong> Unit, Edinburgh, United Kingdom.<br />

Runs <strong>of</strong> homozygosity (ROH), resulting from the inheritance from both<br />

parents <strong>of</strong> identical haplotypes, are abundant in the human genome.<br />

ROH length is determined partly by the number <strong>of</strong> generations since<br />

the common ancestor: <strong>of</strong>fspring <strong>of</strong> cousin matings have long ROH,<br />

while the numerous shorter ROH reflect shared ancestry tens and<br />

hundreds <strong>of</strong> generations ago. In studies <strong>of</strong> <strong>European</strong> populations we<br />

show that F , a multipoint estimate <strong>of</strong> individual autozygosity derived<br />

roh<br />

from genomic ROH, distinguishes clearly between subpopulations<br />

classified in terms <strong>of</strong> demographic history and correlates strongly with<br />

pedigree-derived inbreeding coefficients. In a global population da-<br />

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