Haplotypes in the lipoprotein lipase gene influence high-density lipoprotein cholesterol response to statin therapy and progression of atherosclerosis in coronary artery bypass grafts.

Lipoprotein lipase (LPL) hydrolyzes circulating triglycerides (TGs). We previously showed that 3'-end haplotypes in the LPL gene influence atherosclerosis and insulin resistance. This study asked whether these LPL haplotypes influence response to lipid-lowering therapy among 829 subjects from the Post-Coronary Artery Bypass Graft trial. Lipid profiles were obtained at baseline and 4-5 years after treatment with lovastatin. Haplotypes were based on 12 SNPs. The fourth most frequent haplotype, 12-4, was associated with a decreased increment in high-density lipoprotein-cholesterol (HDL-C) following treatment. Haplotypes 12-6, 12-7 and 12-8 were each associated with increased HDL-C response to therapy, and haplotype 12-2 with decreased TG response. The most common haplotype, 12-1, was protective against graft worsening or occlusion. Haplotype 12-4 reduced HDL-C response to lovastatin, possibly consistent with our prior observations of this haplotype as predisposing to coronary artery disease. LPL may influence atherosclerosis risk through pleiotropic effects on each aspect of the metabolic syndrome.

Genetic predisposition to coronary artery disease.

Understanding the genetic basis of coronary artery disease (CAD) can improve management and prevention. Family and twin studies, animal models and gene association studies support a genetic basis for CAD. Genes contribute to CAD development and progression, and response to risk factor modification and lifestyle choices. Family history is the best indicator of a predisposition to CAD and further refinement is possible with biochemical and DNA testing. Many inherited cardiovascular risk factors can be modified, such as LDL cholesterol, homocysteine and lipoprotein(a). Early detection of CAD might lead to earlier intervention for genetically susceptible individuals. However, data are lacking regarding the efficacy of this approach in preventing clinical events. Despite this lack of evidence, knowledge of genetic CAD susceptibility has value in providing risk information and guiding decision making. Further research that investigates outcomes regarding genetic risk assessment for CAD is necessary.

Classic, atypically severe and neonatal Marfan syndrome: twelve mutations and genotype-phenotype correlations in FBN1 exons 24-40.

Mutations in the gene for fibrillin-1 (FBN1) cause Marfan syndrome, an autosomal dominant disorder of connective tissue with prominent manifestations in the skeletal, ocular, and cardiovascular system. There is a remarkable degree of clinical variability both within and between families with Marfan syndrome as well as in individuals with related disorders of connective tissue caused by FBN1 mutations and collectively termed type-1 fibrillinopathies. The so-called neonatal region in FBN1 exons 24-32 comprises one of the few generally accepted genotype-phenotype correlations described to date. In this work, we report 12 FBN1 mutations identified by temperature-gradient gel electrophoresis screening of exons 24-40 in 127 individuals with Marfan syndrome or related disorders. The data reported here, together with other published reports, document a significant clustering of mutations in exons 24-32. Although all reported mutations associated with neonatal Marfan syndrome and the majority of point mutations associated with atypically severe presentations have been found in exons 24-32, mutations associated with classic Marfan syndrome occur in this region as well. It is not possible to predict whether a given mutation in exons 24-32 will be associated with classic, atypically severe, or neonatal Marfan syndrome.

A familial risk profile for osteoporosis.

PURPOSE: To describe genetic epidemiologic aspects of osteoporosis. METHODS: 69 patients with osteoporosis were interviewed regarding personal and family histories of osteoporosis and related fractures. Family history information was obtained on 421 first degree and 748 second degree relatives. RESULTS: 45% of cases reported a family history of osteoporosis. Familial cases were characterized neither by an earlier age of diagnosis nor by a greater degree of phenotypic severity. Empiric risks for osteoporosis were highest for mothers, 33%, and were 19% for sisters. CONCLUSION: These results provide an initial genetic epidemiologic profile for osteoporosis and information useful for genetic counseling.

Family history: a comprehensive genetic risk assessment method for the chronic conditions of adulthood.

Targeting individuals with increased risk for common, chronic disease can improve the efficiency and efficacy of preventive efforts by improving the predictability of screening tests and participant compliance. Individuals with the greatest risk for these disorders are those with a genetic susceptibility. The purpose of this study was to determine the feasibility of using a single, comprehensive family history as a method for stratifying risk for many preventable, common genetic disorders. Family histories obtained in a prenatal diagnostic clinic were reviewed regarding cardiovascular diseases, diabetes and several cancers; 42.5% of individuals reported a family history for at least one of the disorders under study. Familial coronary artery disease was most commonly reported (29% of participants), followed by noninsulin-dependent diabetes (14%). Qualitative characterization of disease susceptibility was also accomplished using family history data. For example, occurrence of different cancers within pedigrees was suggestive of familial cancer syndromes, and clustering of noninsulin-dependent diabetes and cardiovascular disease suggested an insulin resistance syndrome. Depending on the specific disease, 5 to 15% of at-risk individuals had a moderately increased risk (2 to 5 times the population risk), and approximately 1 to 10% had a high risk (absolute risks approaching 50%). Family history reports of common, chronic disease are prevalent among the population at large, and collection and interpretation of comprehensive family history data is a feasible, initial method for risk stratification for many preventable, chronic conditions. These findings may have important implications for disease prevention and management.