3 research outputs found
Genotypes and phenotypes for apolipoprotein E and Alzheimer disease in the Honolulu-Asia aging study
BACKGROUND: The utility of apolipoprotein E (ApoE) type as an indicator of
genetic susceptibility to Alzheimer disease (AD) depends on the
reliability of typing. Although ApoE protein isoform phenotyping is
generally assumed equivalent to genotyping from DNA, phenotype-genotype
differences have been reported. METHODS: ApoE genotype and phenotype
results were examined for 3564 older (ages 71-93 years) Japanese-American
male participants of the Honolulu-Asia Aging Study, an ongoing
population-based study of aging and dementia. RESULTS: Both methods
demonstrated similar associations of ApoE type with AD: a direct
association with ApoE4 and a less dramatic inverse association ApoE2.
Advanced age did not appear to influence the ApoE4-AD association. The
association with AD among ApoE4 homozygotes [odds ratio (OR) = 14.7] was
higher than expected based on an observed OR of 2.0 in heterozygotes.
Phenotype-genotype nonconcordance was more frequent for ApoE2 than for
ApoE4. The ApoE2 phenotype occurred at a frequency of 7.9% vs a genotype
frequency of 4.9%, corresponding to a probability of 56% that an
individual with ApoE2 phenotype had the same genotype. CONCLUSIONS:
Whereas E4 and E2 phenotypes and genotypes were comparably associated with
AD, neither method would be expected to substantially improve the
efficiency of case finding in the context of population screening beyond
prediction based on age and education. Nonconcordance of phenotype and
genotype was substantial for E2 and modest for E4 in this population. The
ApoE4-AD association was independent of age
Evolution of genes and genomes on the Drosophila phylogeny
Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species