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    <title>Pardo Cortes, L.M.</title>
    <link>http://repub.eur.nl/res/aut/3605/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
    </image>
    <item>
      <title>A functional polymorphism under positive evolutionary selection in ADRB2 is associated with human intelligence with opposite effects in the young and the elderly (Article)</title>
      <link>http://repub.eur.nl/res/pub/25019/</link>
      <pubDate>2009-01-01T00:00:00Z</pubDate>
      <description>Comparative genomics offers a novel approach to unravel the genetic basis of complex traits. We performed a two stage analysis where genes ascertained for enhanced protein evolution in primates are subsequently searched for the presence of non-synonymous coding SNPs in the current human population at amino acid sites that differ between humans and chimpanzee. Positively selected genes among primates are generally presumed to determine phenotypic differences between humans and chimpanzee, such as the enhanced cognitive ability of our species. Amino acid substitutions segregating in humans at positively selected amino acid sites are expected to affect phenotypic differences among humans. Therefore we conducted an association study in two family based cohorts and one population based cohort between cognitive ability and the most likely candidate gene among the five that harbored more than one such polymorphism. The derived, human-specific allele of the beta-2 adrenergic receptor Arg16Gly polymorphism was found to be the increaser allele for performance IQ in the young, family based cohort but the decreaser allele for two different measures of cognition in the large Scottish cohort of unrelated individuals. The polymorphism is known to affect signaling activity and modulation of beta-2 adrenergic signaling has been shown to adjust memory consolidation, a trait related to cognition. The opposite effect of the polymorphism on cognition in the two age classes observed in the different cohorts resembles the effect of ADRB2 on hypertension, which also has been reported to be age dependent. This result illustrates the relevance of comparative genomics to detect genes that are involved in human behavior. </description>
    </item> <item>
      <title>Sex-specific genetic effects influence variation in body composition (Article)</title>
      <link>http://repub.eur.nl/res/pub/29078/</link>
      <pubDate>2008-12-01T00:00:00Z</pubDate>
      <description>Aims/hypothesis: Despite well-known sex differences in body composition it is not known whether sex-specific genetic or environmental effects contribute to these differences. Methods: We assessed body composition in 2,506 individuals, from a young Dutch genetic isolate participating in the Erasmus Rucphen Family study, by dual-energy X-ray absorptiometry and anthropometry. We used variance decomposition procedures to partition variation of body composition into genetic and environmental components common to both sexes and to men and women separately and calculated the correlation between genetic components in men and women. Results: After accounting for age, sex and inbreeding, heritability ranged from 0.39 for fat mass index to 0.84 for height. We found sex-specific genetic effects for fat percentage (fat%), lean mass, lean mass index (LMI) and fat distribution, but not for BMI and height. Genetic correlations between sexes were significantly different from 1 for fat%, lean mass, LMI, android fat, android:gynoid fat ratio and WHR, indicating that there are sex-specific genes contributing to variation of these traits. Genetic variance was significantly higher in women for the waist, hip and thigh circumference and WHR, implying that genes account for more variance of fat distribution in women than in men. Environmental variance was significantly higher in men for the android:gynoid fat ratio. Conclusions/interpretation: Sex-specific genetic effects underlie sexual dimorphism in several body composition traits. The findings are relevant for studies on the relationship of body composition with common diseases like cardiovascular disease and type 2 diabetes and for genetic association studies. </description>
    </item> <item>
      <title>The apolipoprotein E gene and its age-specific effects on cognitive function (Article)</title>
      <link>http://repub.eur.nl/res/pub/14373/</link>
      <pubDate>2008-01-01T00:00:00Z</pubDate>
      <description>The E4 allele of the apolipoprotein E gene (APOE) is a well-established determinant of Alzheimer's disease but its relation to cognitive function is much less understood. We studied the age-specific effects of the APOE*E4 allele on cognitive function and cardiovascular risk factors in 2208 related individuals. APOE*E4 allele was significantly associated with reduced test scores for Adult Verbal Learning Test, particularly on the memory and learning sub domains, in persons older than 50 years of age. The effect of APOE*E4 was independent of the effect of APOE*E4 on vascular risk factors and most pronounced on learning ability. Our findings suggest that APOE*E4 has an effect on cognitive function predominantly in the elderly, independent of vascular risk factors.</description>
    </item> <item>
      <title>Relationship of the Ubiquilin 1 gene with Alzheimer's and Parkinson's disease and cognitive function (Article)</title>
      <link>http://repub.eur.nl/res/pub/36041/</link>
      <pubDate>2007-08-31T00:00:00Z</pubDate>
      <description>Ubiquilin 1 (UBQLN1) is involved in the ubiquitination machinery, which has been implicated in Alzheimer's disease (AD) as well as Parkinson's disease (PD). A polymorphism in the gene encoding for UBQLN1 has been previously associated with a higher risk of AD. We studied the role of the SNP rs12344615 on the UBQLN 1 gene in AD, PD and cognitive function in a population-based study, the Rotterdam Study, and a family-based study embedded in the genetic research in isolated population (GRIP) program. The Rotterdam Study includes 549 patients with AD and 157 patients with PD. The GRIP program includes a series of 123 patients with AD and a study of 1049 persons who are characterized for cognitive function. Data were analysed using logistic and multiple regression analysis. We found no significant difference in risk of AD or PD by the UBQLN1 SNP rs12344615 in our overall and stratified analyses in the Rotterdam Study. In our family-based study, we did not find evidence for linkage of AD to the region including the UBQLN1 gene. In the family-based study we also failed to detect an effect of this polymorphism on cognitive function. Our results suggest that it is unlikely that the SNP rs12344615 of the UBQLN1 gene is related to the onset of AD, PD or cognitive function. </description>
    </item> <item>
      <title>Genetic study of cognitive function (Doctoral Thesis)</title>
      <link>http://repub.eur.nl/res/pub/8014/</link>
      <pubDate>2006-10-04T00:00:00Z</pubDate>
      <description>Dissecting the genetics of Alzheimer’s disease (AD) and Parkinson’s disease 
(PD) has contributed significantly to our understanding of the pathogenesis of 
neurodegeneration in these two complex disorders. For AD, three highly penetrant 
genes (APP, PSEN1 and PSEN2) and one susceptibility gene (APOE) have been 
identified. For PD, seven genes (SNCA, Parkin, UCHL1, NR4A2, DJ1, PINK1 and 
LRRK2) have been found. These genes explain only a small proportion of AD 
and PD patients and are mostly associated with an early onset presentation of the 
disease. APOE remains the only common gene, which increases the risk of both rare 
early and late onset AD. The ongoing challenge is to unravel the genetics of the most 
frequent forms of these complex disorders. In the present paper, we briefl y review 
the state of the art in the genetics of AD and PD. We also discuss the prospects of 
finding new genes associated with common forms of these diseases in light of two 
hypotheses concerning the genetic variation of complex diseases: common disease/ 
common variants and common disease/rare variants.</description>
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