👤 Rebecca A Replogle

Microglia are emerging as a key cell type in neurodegenerative diseases, yet human microglia are challenging to study in vitro. We developed an in vitro cell model system composed of human monocyte-derived microglia-like (MDMi) cells that recapitulated key aspects of microglia phenotype and function. We then used this model system to perform an expression quantitative trait locus (eQTL) study examining 94 genes from loci associated with Alzheimer's disease, Parkinson's disease, and multiple sclerosis. We found six loci ( Show less

Low dietary calcium (Ca) intake during growth limits peak bone mass but physiological adaptation can prevent this adverse effect. To assess the genetic control on the physiologic response to dietary Ca restriction (RCR), we conducted a study in 51 BXD lines fed either 0.5% (basal) or 0.25% (low) Ca diets from ages 4 to 12 weeks (n = 8/line/diet). Ca absorption (CaAbs), femur bone mineral density (BMD), and bone mineral content (BMC) were examined. ANCOVA with body size as covariate was used to detect significant line and diet main effects, and line-by-diet interactions. Body size-corrected residuals were used for linkage mapping and to estimate heritability (h(2) ). Loci controlling the phenotypes were identified using composite interval mapping on each diet and for the RCR. h(2) of basal phenotypes (0.37-0.43) and their RCR (0.32-0.38) was moderate. For each phenotype, we identified multiple quantitative trait loci (QTL) on each diet and for the RCR. Several loci affected multiple traits: Chr 1 (88.3-90.6 cM, CaAbs, BMC), Chr 4 (45.8-49.2 cM, CaAbs, BMD, BMC), Chr 8 (28.6-31.6 cM, CaAbs, BMD, RCR), and Chr 15 (13.6-24 cM, BMD, BMC; 32.3-36 cM, CaAbs RCR, BMD). This suggests that gene clusters may regulate interdependent bone-related phenotypes. Using in silico expression QTL (eQTL) mapping and bioinformatic tools, we identified novel candidates for the regulation of bone under Ca stress (Ext1, Deptor), and for the first time, we report genes modulating Ca absorption (Inadl, Sc4mol, Sh3rf1, and Dennd3), and both Ca and bone metabolism (Tceanc2, Tll1, and Aadat). Our data reveal gene-by-diet interactions and the existence of novel relationships between bone and Ca metabolism during growth. © 2015 American Society for Bone and Mineral Research. Show less