Clinical findings associated with a de novo partial trisomy 10p11.22p15.3 and monosomy 7p22.3 detected by chromosomal microarray analysis.

We present the case of an 18-month-old boy with dysmorphic facial features, developmental delay, growth retardation, bilateral clubfeet, thrombocytopenia, and strabismus, whose array CGH analysis revealed concurrent de novo trisomy 10p11.22p15.3 and monosomy 7p22.3. We describe the patient's clinical presentation, along with his cytogenetic analysis, and we compare the findings to those of similar case reports in the literature. We also perform a bioinformatic analysis in the chromosomal regions of segmental aneuploidy to find genes that could potentially explain the patient's phenotype

Clinical Findings Associated with a De Novo Partial Trisomy 10p11.22p15.3 and Monosomy 7p22.3 Detected by Chromosomal Microarray Analysis

We present the case of an 18-month-old boy with dysmorphic facial features, developmental delay, growth retardation, bilateral clubfeet, thrombocytopenia, and strabismus, whose array CGH analysis revealed concurrent de novo trisomy 10p11.22p15.3 and monosomy 7p22.3. We describe the patient's clinical presentation, along with his cytogenetic analysis, and we compare the findings to those of similar case reports in the literature. We also perform a bioinformatic analysis in the chromosomal regions of segmental aneuploidy to find genes that could potentially explain the patient's phenotype

Clinical findings associated with a de novo partial trisomy 10p11.22p15.3 and monosomy 7p22.3 detected by chromosomal microarray analysis.

We present the case of an 18-month-old boy with dysmorphic facial features, developmental delay, growth retardation, bilateral clubfeet, thrombocytopenia, and strabismus, whose array CGH analysis revealed concurrent de novo trisomy 10p11.22p15.3 and monosomy 7p22.3. We describe the patient's clinical presentation, along with his cytogenetic analysis, and we compare the findings to those of similar case reports in the literature. We also perform a bioinformatic analysis in the chromosomal regions of segmental aneuploidy to find genes that could potentially explain the patient's phenotype

Electronic health record interventions at the point of care improve documentation of care processes and decrease orders for genetic tests commonly ordered by nongeneticists.

OBJECTIVE: To determine whether electronic health record (EHR) tools improve documentation of pre- and postanalytic care processes for genetic tests ordered by nongeneticists. METHODS: We conducted a nonrandomized, controlled, pre-/postintervention study of EHR point-of-care tools (informational messages and template report) for three genetic tests. Chart review assessed documentation of genetic testing processes of care, with points assigned for each documented item. Multiple linear and logistic regressions assessed factors associated with documentation. RESULTS: Preimplementation, there were no significant site differences (P > 0.05). Postimplementation, mean documentation scores increased (5.9 (2.1) vs. 5.0 (2.2); P = 0.0001) and records with clinically meaningful documentation increased (score >5: 59 vs. 47%; P = 0.02) at the intervention versus the control site. Pre- and postimplementation, a score >5 was positively associated with abnormal test results (OR = 4.0; 95% CI: 1.8-9.2) and trainee provider (OR = 2.3; 95% CI: 1.2-4.6). Postimplementation, a score >5 was also positively associated with intervention site (OR = 2.3; 95% CI: 1.1-5.1) and specialty clinic (OR = 2.0; 95% CI: 1.1-3.6). There were also significantly fewer tests ordered after implementation (264/100,000 vs. 204/100,000; P = 0.03), with no significant change at the control site (280/100,000 vs. 257/100,000; P = 0.50). CONCLUSIONS: EHR point-of-care tools improved documentation of genetic testing processes and decreased utilization of genetic tests commonly ordered by nongeneticists.Genet Med 19 1, 112-120