PubMed Health⌕ Search

Biomedical subjects

William Navidi

Publications and source records attributed to William Navidi.

2 recordsLinked to original sources

The observed human sperm mutation frequency cannot explain the achondroplasia paternal age effect.

The lifelong spermatogonial stem cell divisions unique to male germ cell production are thought to contribute to a higher mutation frequency in males. The fact that certain de novo human genetic conditions (e.g., achondroplasia) increase in incidence with the age of the father is consistent with this idea. Although it is assumed that the paternal age effect is the result of an increasing frequency of mutant sperm as a man grows older, no direct molecular measurement of the germ-line mutation frequency has been made to confirm this hypothesis. Using sperm DNA from donors of different ages, we determined the frequency of the nucleotide substitution in the fibroblast growth factor receptor 3 (FGFR3) gene that causes achondroplasia. Surprisingly, the magnitude of the increase in mutation frequency with age appears insufficient to explain why older fathers have a greater chance of having a child with this condition. A number of alternatives may explain this discrepancy, including selection for sperm that carry the mutation or an age-dependent increase in premutagenic lesions that remain unrepaired in sperm and are inefficiently detected by the PCR assay.

Achondroplasia↗

Risk set sampling for case-crossover designs.

In the case-crossover design, only cases are sampled, and effect estimates are based on within-subject comparisons of exposures at failure times with exposures at control times. Sampling control times appropriately can provide some control for unmeasured confounding, but may introduce bias owing to time trends in the exposure of interest. The theory of risk set sampling (Borgan Ø, Goldstein L, Langholz B. Ann Stat 1995;23:1749-1778) can be used to develop effect estimates in these situations that are free from bias caused by time trends. Through simulation, we compared four sampling schemes: the full-stratum bidirectional design, a matched pair design, the symmetric bidirectional design of Bateson and Schwartz (Bateson T, Schwartz J. Epidemiology 1999;10:539-544), and the semi-symmetric bidirectional design. We also studied a quasi-likelihood extension of Poisson regression with overdispersion. We used daily mean particulate matter less than 10 microm in aerodynamic diameter levels in Denver as the exposure of interest, simulated confounding with linear and seasonal trends, and simulated mortality counts using a log relative risk of 1.1. Neither the matched pair, the full-stratum design, or Poisson regression with overdispersion provided control for seasonal confounding. The symmetric bidirectional design controlled for seasonal confounding but exhibited bias from time trends in exposure. The semi-symmetric bidirectional design provided control of seasonal confounding equal to that of the symmetric bidirectional design, without any time-trend bias.

Air Pollution↗