### A New Apolipoprotein Influencing Plasma Triglyceride Levels in Humans and Mice Len Pennacchio, Lawrence Berkeley National Laboratory, Berkeley, CA; Michael Olivier, Medical College of Wisconsin, Milwaukee, WI; Jaroslav A Hubacek, Jonathan C Cohen, UT Southwestern Medical Center, Dallas, TX; David R Cox, Stanford Human Genome Center, Palo Alto, CA; Jamilla Fruchart, Pasteur Institute, Lille, France; Ronald M Krauss, Edward M Rubin, Lawrence Berkeley National Laboratory, Berkeley, CA The apolipoprotein gene cluster on human chromosome 11q23 (apoAI/CIII/AIV) represents a well-studied region that influences a variety of plasma lipid parameters and atherosclerosis susceptibility in humans. To facilitate the identification of evolutionarily conserved sequences with potential function near this cluster, we determined the sequence of ∼200 kbp of orthologous mouse DNA and compared the mouse and human sequences. The presence of a stretch of inter-species sequence conservation approximately 30 kbp proximal to the apoAI/CIII/AIV gene cluster, led us to an interval that upon further analysis was shown to encode a new member (apoAV) of the chromosome 11 apolipoprotein gene cluster. ApoAV transcripts were identified predominantly in liver tissue from mice and humans. To assess the function of apoAV, we generated mice over-expressing a human apoAV transgene as well as apoAV knockout mice. We observed dramatic but opposite effects on plasma triglyceride in these two groups of animals; a 3-fold decrease in plasma triglycerides in the apoAV transgenics and a 4-fold increase in the knockout mice. To explore the relationship between apoAV and lipid parameters in humans, several single nucleotide polymorphisms (SNPs) across the apoAV locus were identified and genotyped in two independent patient populations of normo-lipidemics. A common haplotype was found to be significantly associated with increased plasma triglycerides in the two large independent studies each employing different study designs. These findings in humans and mice illustrate the utility of comparative sequence analysis as a means to prioritize regions of the genome for further …
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