Publications by authors named "J Albertus"
Article Synopsis
- The study investigates how Dutch government policies influence the employment and training of nurse practitioners and physician assistants, emphasizing the importance of familiarity and trust among decision-makers.
- 50 semi-structured interviews were conducted to gather qualitative data, revealing that policies can boost training and employment by fostering trust and reducing barriers for medical professionals.
- Effective policy implementation needs to consider the specific healthcare context and decision-makers involved, while also focusing on extending practice scopes, creating funding opportunities, and addressing training costs.
Background: The African American Hereditary Prostate Cancer (AAHPC) Study was designed to recruit families with early-onset disease fulfilling criteria of >or=4 affected.
Methods: We present a approximately 10 cM genome-wide linkage (GWL) analysis on 77 families including 254 affected and 274 unaffected genotyped.
Results: Linkage analysis revealed three chromosomal regions with GENEHUNTER multipoint HLOD scores >or=1.
Background: Prostate cancer represents a substantial public health burden worldwide. It is the second leading cause of cancer death among men in the United States. A family history of the disease is among the most well-established risk factors for prostate cancer.
View Article and Find Full Text PDFBackground: Previous linkage studies have suggested prostate cancer susceptibility genes located on chromosomes 1, 20, and X. Several putative prostate cancer candidate genes have also been identified including RNASEL, MSR1, and ELAC2. Presently, these linkage regions and candidate genes appear to explain only a small proportion of hereditary prostate cancer cases suggesting the need for additional whole genome analyses.
View Article and Find Full Text PDFBackground: Although the subject of intensive study, the genetic influences responsible for familial clustering of prostate cancer remain largely unidentified. Genome-wide scans for linkage in prostate cancer families can be used to systematically search for genes capable of affecting risk for the disease.
Methods: All available family members from 188 families, each having at least three first-degree relatives affected with prostate cancer, were genotyped at 406 markers distributed across the genome at average intervals of less than 10 cM.