| 1. |
- Brown, Kevin M., et al.
(författare)
-
Common sequence variants on 20q11.22 confer melanoma susceptibility
- 2008
-
Ingår i: Nature Genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 40:7, s. 838-840
-
Tidskriftsartikel (refereegranskat)abstract
- We conducted a genome-wide association pooling study for cutaneous melanoma and performed validation in samples totaling 2,019 cases and 2,105 controls. Using pooling, we identified a new melanoma risk locus on chromosome 20 (rs910873 and rs1885120), with replication in two further samples (combined P < 1 x 10(-15)). The per allele odds ratio was 1.75 (1.53, 2.01), with evidence for stronger association in early-onset cases.
|
|
| 2. |
- Garne, Ester, et al.
(författare)
-
Cerebral palsy and congenital malformations.
- 2008
-
Ingår i: European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society. - : Elsevier BV. - 1090-3798. ; 12:2, s. 82-8
-
Tidskriftsartikel (refereegranskat)abstract
- AIM: To determine the proportion of children with cerebral palsy (CP) who have cerebral and non-cerebral congenital malformations. METHODS: Data from 11 CP registries contributing to the European Cerebral Palsy Database (SCPE), for children born in the period 1976-1996. The malformations were classified as recognized syndromes, chromosomal anomalies, cerebral malformations or non-cerebral malformations. Prevalence of malformations was compared to published data on livebirths from a European database of congenital malformations (EUROCAT). RESULTS: Overall 547 out of 4584 children (11.9%) with CP were reported to have a congenital malformation. The majority (8.6% of all children) were diagnosed with a cerebral malformation. The most frequent types of cerebral malformations were microcephaly and hydrocephaly. Non-cerebral malformations were present in 97 CP children and in further 14 CP children with cerebral malformations. The most frequent groups of non-cerebral malformations were cardiac, facial clefts and limb and skeleton malformations. Children born at term had a significantly higher prevalence of cerebral malformations compared to children born before 32 weeks (12.1% versus 2.1%, p<0.001). CONCLUSION: Cerebral malformations were much more frequent among children with CP than among all livebirths in the population. Malformations in organ systems close to the brain (eye, facial clefts) were more frequent in the CP population while malformations in organ systems further from the brain (renal, genital) were more frequent in the general population.
|
|
| 3. |
- Wolever, Thomas M S, et al.
(författare)
-
Measuring the glycemic index of foods: interlaboratory study.
- 2008
-
Ingår i: The American journal of clinical nutrition. - 0002-9165 .- 1938-3207. ; 87:1
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Many laboratories offer glycemic index (GI) services. OBJECTIVE: We assessed the performance of the method used to measure GI. DESIGN: The GI of cheese-puffs and fruit-leather (centrally provided) was measured in 28 laboratories (n=311 subjects) by using the FAO/WHO method. The laboratories reported the results of their calculations and sent the raw data for recalculation centrally. RESULTS: Values for the incremental area under the curve (AUC) reported by 54% of the laboratories differed from central calculations. Because of this and other differences in data analysis, 19% of reported food GI values differed by >5 units from those calculated centrally. GI values in individual subjects were unrelated to age, sex, ethnicity, body mass index, or AUC but were negatively related to within-individual variation (P=0.033) expressed as the CV of the AUC for repeated reference food tests (refCV). The between-laboratory GI values (mean+/-SD) for cheese-puffs and fruit-leather were 74.3+/-10.5 and 33.2+/-7.2, respectively. The mean laboratory GI was related to refCV (P=0.003) and the type of restrictions on alcohol consumption before the test (P=0.006, r2=0.509 for model). The within-laboratory SD of GI was related to refCV (P<0.001), the glucose analysis method (P=0.010), whether glucose measures were duplicated (P=0.008), and restrictions on dinner the night before (P=0.013, r2=0.810 for model). CONCLUSIONS: The between-laboratory SD of the GI values is approximately 9. Standardized data analysis and low within-subject variation (refCV<30%) are required for accuracy. The results suggest that common misconceptions exist about which factors do and do not need to be controlled to improve precision. Controlled studies and cost-benefit analyses are needed to optimize GI methodology. The trial was registered at clinicaltrials.gov as NCT00260858.
|
|
