Редактирование: NPL

N-acetylneuraminate lyase (EC 4.1.3.3) (NALase) (N-acetylneuraminate pyruvate-lyase) (N-acetylneuraminic acid aldolase) (Sialate lyase) (Sialate-pyruvate lyase) (Sialic acid aldolase) (Sialic acid lyase) [C1orf13]

==Publications==

{{medline-entry
|title=Robust age at onset linkage analysis in nuclear families.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/19996606
|abstract=Standard methods for linkage analysis ignore the phenotype of the parents when they are not genotyped. However, this information can be useful for gene mapping. In this paper we propose methods for age at onset genetic linkage analysis in sibling pairs, taking into account parental age at onset. Two new score statistics are derived, one from an additive gamma frailty model and one from a log-normal frailty model. The score statistics are classical non-parametric linkage ([[NPL]]) statistics weighted by a function of the age at onset of the four family members. The weight depends on information from registries (age-specific incidences) and family studies (sib-sib and father-mother correlation). In order to investigate how age at onset of sibs and their parents affect the information for linkage analysis the weight functions were studied for rare and common disease models, realistic models for breast cancer and human lifespan. We studied the performance of the weighted [[NPL]] methods by simulations. As illustration, the score statistics were applied to the GAW12 data. The results show that it is useful to include parental age at onset information in genetic linkage analysis.
|mesh-terms=* Age of Onset
* Breast Neoplasms
* Female
* Genetic Association Studies
* Humans
* Life Expectancy
* Male
* Models, Genetic
* Nuclear Family
* Parents
* Siblings
* Statistics, Nonparametric

|full-text-url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2956010
}}
{{medline-entry
|title=The efficiency of genetic analysis of DNA from aged siblings to detect chromosomal regions implicated in longevity.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/11040399
|abstract=Studies of the frequencies of different alleles in young adults and aged individuals have implicated several genes, such as ApoE and [[ACE]], in longevity. However such association studies can easily give rise to spurious results through unsuspected population subdivision, and an approach making use of genetic relationships among relatives is desirable. We have studied the effectiveness of non-parametric genetic analysis to detect different types of loci affecting longevity. The non-parametric method has high statistical power to detect infrequent recessive alleles that are required for, or significantly increase the probability of, survival to advanced age. Statistical power is reduced if a proportion of carriers of the alternative allele is allowed to survive. The method is least effective in detecting alleles that occur at low frequency in young individuals and that subsequently experience high mortality, as is the case for carriers of the epsilon4 allele of ApoE. Genotyping errors will also reduce the value of the [[NPL]] statistic in a linear fashion with the error rate and the number of loci genotyped. We have also used the method to analyse genotypes of seven highly polymorphic markers near the ApoE gene in a sample of 188 sibships of nonagenarians and centenarians (n=434) and their children (n=124), however no excess sharing of alleles was detected.
|mesh-terms=* Adult
* Aged
* Aged, 80 and over
* Apolipoprotein E4
* Apolipoproteins E
* DNA
* Female
* Genotype
* Humans
* Longevity
* Male
* Pedigree
* Sibling Relations

|full-text-url=https://sci-hub.do/10.1016/s0047-6374(00)00165-2
}}
{{medline-entry
|title=Relationship between napping and melatonin in the blind.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/9104687
|abstract=Daytime sleepiness is a common complaint in blind subjects. Abnormally timed melatonin has been invoked as a possible cause of both daytime sleepiness and nighttime awakening. In free-running blind individuals, there is an opportunity to assess the relationship between endogenous melatonin rhythms and subjective sleepiness and naps. The aim of this study was to characterize melatonin rhythms and simultaneously to evaluate subjective napping. A total of 15 subjects with no conscious light perception ([[NPL]]) were studied for 1 month. Prior to the study, sleep disorders were assessed using the Pittsburgh Sleep Quality Index. Cosinor and regression analysis revealed that 9 of the 15 [[NPL]] subjects had free-running 6-sulphatoxymelatonin (aMT6s) rhythms (period [tau] range = 24.34 to 24.79 h), 3 were entrained with an abnormal phase, and 3 were normally entrained. Most of the subjects (13 of 15) had daytime naps; the 2 individuals who did not made conscious efforts not to do so. Subjects with abnormal aMT6s rhythms had more naps of a longer duration than did those with normal rhythms. Free-running nap rhythms occurred only in subjects with free-running aMT6s rhythms. The 2 abnormally entrained subjects who napped did so at times that coincided with high levels of aMT6s (mean aMT6s acrophase [phi]  /- SD = 14.30  /- 1.08 h, 20.30  /- 0.62 h; mean nap time  /- SD = 14.01  /- 3.60 h, 18.23  /- 3.20 h, respectively). Regardless of aMT6s rhythm abnormality, significantly more naps occurred with a 4-h period before and after the estimated aMT6s acrophase. In 4 free-running subjects, aMT6s acrophase (phi) passed through an entire 24-h period. When aMT6s was in a normal phase position (24:00 to 06:00 h), night-sleep duration tended to increase with a significant reduction in the number and duration of naps. Sleep onset and offset times tended to advance and delay as the aMT6s rhythms advanced and delayed. Our results show a striking relationship between the timing of daytime production of melatonin and the timing of daytime naps. This suggests that abnormally timed endogenous melatonin may induce sleepiness in blind subjects.
|mesh-terms=* Adult
* Aged
* Aging
* Blindness
* Circadian Rhythm
* Female
* Humans
* Male
* Melatonin
* Middle Aged
* Sleep

|full-text-url=https://sci-hub.do/10.1177/074873049701200104
}}