Seldin, Michael F.

Abstract Regulation of complement activation is essential in the prevention of damage to autologous tissue. This activity is mediated by the presence of specific complement regulatory proteins on the surface of host cells. In humans, one molecule involved in this regulation is a 70-kDa glycoprotein that has been designated decay-accelerating factor (DAF). We present the full-length cDNA sequence and chromosomal localization of the mouse genetic homologue of the human DAF gene. Interestingly, two classes of cDNA clones were obtained that, rather than representing alternately spliced mRNAs, were derived from two separate but closely related linked genes. Both genes encoded proteins with an amino-terminal signal sequence, followed by four short consensus repeats and a domain rich in serine and threonine. Hydrophilicity plots and alignment with human DAF predicted that one gene encoded a glycosylphosphatidylinositol-anchored form of mouse Daf with 64% nucleotide and 47% amino acid identity to human DAF. The product encoded by the second gene was predicted to have an alternate amino-terminal signal sequence and carboxyl-terminal membrane-spanning and cytoplasmic domains. The two mouse Daf genes share 85% nucleotide and 78% amino acid identities, and have been designated Daf-glycosylphosphatidylinositol and Daf-transmembrane to reflect the two alternate mechanisms of membrane attachment. mRNA expression analysis indicated that the two mouse Daf genes were differentially expressed in the adult mouse. Chromosome localization studies mapped the mouse Daf genes to chromosome 1, where they segregated with the C4-binding protein (C4bp) gene.

Abstract Background: Common cancers develop through a multistep process often including inherited susceptibility. Collaboration among multiple institutions, and funding from multiple sources, has allowed the development of an inexpensive genotyping microarray, the OncoArray. The array includes a genome-wide backbone, comprising 230,000 SNPs tagging most common genetic variants, together with dense mapping of known susceptibility regions, rare variants from sequencing experiments, pharmacogenetic markers, and cancer-related traits. Methods: The OncoArray can be genotyped using a novel technology developed by Illumina to facilitate efficient genotyping. The consortium developed standard approaches for selecting SNPs for study, for quality control of markers, and for ancestry analysis. The array was genotyped at selected sites and with prespecified replicate samples to permit evaluation of genotyping accuracy among centers and by ethnic background. Results: The OncoArray consortium genotyped 447,705 samples. A total of 494,763 SNPs passed quality control steps with a sample success rate of 97% of the samples. Participating sites performed ancestry analysis using a common set of markers and a scoring algorithm based on principal components analysis. Conclusions: Results from these analyses will enable researchers to identify new susceptibility loci, perform fine-mapping of new or known loci associated with either single or multiple cancers, assess the degree of overlap in cancer causation and pleiotropic effects of loci that have been identified for disease-specific risk, and jointly model genetic, environmental, and lifestyle-related exposures. Impact: Ongoing analyses will shed light on etiology and risk assessment for many types of cancer. Cancer Epidemiol Biomarkers Prev; 26(1); 126–35. ©2016 AACR.