Although selective transsphenoidal surgery is an effective treatment for pituitary-dependent Cushing's syndrome the definition of cure as distinct from improvement is unclear. Complete tumor removal should be associated with very low serum cortisol levels because of long-term suppression of normal corticotrophs but the optimum timing of this investigation after surgery has not been established. Eleven consecutive patients with surgical and histological confirmation of a corticotroph adenoma removed at transsphenoidal surgery for proven Cushing's disease were studied with 0900 h serum cortisol levels at 5-14 days and 6-12 weeks postoperatively. Patients were maintained on hydrocortisone 10 mg three times daily (final dose at 1800 h) pending recovery of the hypothalamic-pituitary axis which was assessed by periodic short tetracosactrin tests and continued remission of the condition was confirmed by low dose dexamethasone suppression testing. All patients achieved clinical resolution of their disease but four subsequently developed biochemical evidence of recurrence with incomplete suppression on low dose dexamethasone testing at 2-48 months after surgery. These patients had 0900 h serum cortisol levels of 124, 95, 186, and 265 nmol/L at 5-14 days and 334, 52, 130, and 240 nmol/L at 6-12 weeks postoperatively. The remaining seven patients, who are in remission after 8-83 (median 24) months of follow-up, demonstrated 0900 h serum cortisol levels of 30-75 (median 31) nmol/L at 5-14 days but lower levels at 6-12 weeks (< 20 nmol/L in three patients and 22, 30, 30, and 33 nmol/L in the remainder). In this series, serum cortisol measurements at 6-12 weeks after transsphenoidal surgery for Cushing's disease are lower than levels obtained within 2 weeks of surgery and appear to give better discrimination of continuing remission; levels less than 35 nmol/L suggest a favorable long-term outcome.

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Markers on chromosome 4q have recently been shown to be associated with insulin resistance in Pima Indians, a population in which insulin resistance precedes and predicts the development of non-insulin-dependent diabetes mellitus (NIDDM). To examine whether genes in this region could play a major role in susceptibility to NIDDM in other populations, we have examined the allele frequencies of a trinucleotide repeat near the fatty acid-binding protein 2 (FABP2) gene on 4q28-31 in three European populations: Finnish, U.K. Caucasian, and Welsh. The U.K. NIDDM population was selected for insulin resistance by studying patients whose obesity-corrected fasting plasma insulin before treatment was above the 98th percentile. Seven alleles were detected. On cross-tabulation analysis, there were no significant associations between allele frequencies and glucose intolerance in any of the populations. Log-linear analysis of the results from all three populations suggested a moderately significant interaction of glucose tolerance status (normal versus diabetic) and the FABP2 allele (partial chi 2 = 24, df 6, P = 0.027). The parameter describing the interaction of allele A3 and glucose tolerance status was the only such parameter differing significantly from zero (z-score +2.003, P = 0.046). In both the Finnish and U.K. population, the A3 allele was found approximately twice as frequently in NIDDM than in control subjects (Finnish control subjects, impaired glucose tolerance, and NIDDM: 12.2, 22.4, and 26.6%, respectively; U.K. control subjects and NIDDM: 7.8 and 14.6%, respectively). In the Finnish populations, no associations were found between FABP2 alleles and plasma insulin levels or with homeostatic model assessment (HOMA) estimates of beta-cell function and insulin sensitivity.(ABSTRACT TRUNCATED AT 250 WORDS)

Genome-wide association studies have been useful in identifying common genetic variants related to a variety of complex traits and diseases; however, they are often limited in their ability to inform about underlying biology. Whilst bioinformatics analyses, studies of cells, animal models and applied genetic epidemiology have provided some understanding of genetic associations or causal pathways, there is a need for new genetic studies that elucidate causal relationships and mechanisms in a cost-effective, precise and statistically efficient fashion. We discuss the motivation for and the characteristics of the Recall-by-Genotype (RbG) study design, an approach that enables genotype-directed deep-phenotyping and improvement in drawing causal inferences. Specifically, we present RbG designs using single and multiple variants and discuss the inferential properties, analytical approaches and applications of both. We consider the efficiency of the RbG approach, the likely value of RbG studies for the causal investigation of disease aetiology and the practicalities of incorporating genotypic data into population studies in the context of the RbG study design. Finally, we provide a catalogue of the UK-based resources for such studies, an online tool to aid the design of new RbG studies and discuss future developments of this approach.

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