Skip Navigation
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Your Environment. Your Health.

Publication Detail

Title: Evidence for age-specific genetic relative risks in lung cancer.

Authors: Gauderman, W J; Morrison, J L

Published In Am J Epidemiol, (2000 Jan 01)

Abstract: Recent studies of familial aggregation suggest that family history of lung cancer among first-degree relatives is associated with increased risk for early-onset, but not late-onset, lung cancer. To assess whether this could be explained by variability in genetic relative risk across age, segregation analysis was performed on the Louisiana Lung Cancer Dataset. This data set consisted of 337 probands who died of lung cancer between 1976 and 1979 and their first-degree relatives. A variation of the Cox proportional hazards model was used that allowed estimation of age- and genotype-specific incidence rates, from which the authors obtained estimates of age-specific genetic relative risks. The best-fitting model included an autosomal dominant locus (allele frequency, 0.043), with carrier-to-noncarrier relative risks that exceeded 100 for ages less than 60 years and declined monotonically to 1.6 by age 80. The hypothesis of proportional genetic relative risk across age was rejected (p = 0.009). The estimated proportion of persons with lung cancer who carry the high-risk allele exceeds 90% for cases with onset at age 60 years or less and decreases to approximately 10% for cases with onset at age 80 years or older. These findings support previous evidence of a major susceptibility locus for lung cancer and suggest that linkage studies should preferentially recruit young lung cancer cases and their relatives.

PubMed ID: 10625172 Exiting the NIEHS site

MeSH Terms: Adolescent; Adult; Age Factors; Aged; Aged, 80 and over; Alleles; Child; Child, Preschool; Female; Gene Frequency; Genotype; Humans; Infant; Infant, Newborn; Louisiana/epidemiology; Lung Neoplasms/epidemiology*; Lung Neoplasms/etiology; Lung Neoplasms/genetics*; Male; Middle Aged; Pedigree; Proportional Hazards Models; Risk Factors; Smoking/adverse effects

Back
to Top