The epilepsies are a common, clinically heterogeneous group of disorders defined by recurrent unprovoked seizures 1 . Here we describe identification of the causative gene in autosomal-dominant partial epilepsy with auditory features (ADPEAF, MIM 600512), a rare form of idiopathic lateral temporal lobe epilepsy characterized by partial seizures with auditory disturbances 2,3 . We constructed a complete, 4.2-Mb physical map across the genetically implicated disease-gene region, identified 28 putative genes ( Fig. 1) and resequenced all or part of 21 genes before identifying presumptive mutations in one copy of the leucine-rich, glioma-inactivated 1 gene (LGI1) in each of five families with ADPEAF. Previous studies have indicated that loss of both copies of LGI1 promotes glial tumor progression. We show that the expression pattern of mouse Lgi1 is predominantly neuronal and is consistent with the anatomic regions involved in temporal lobe epilepsy. Discovery of LGI1 as a cause of ADPEAF suggests new avenues for research on pathogenic mechanisms of idiopathic epilepsies.Correspondence should be addressed to R.O. (e-mail: ro6@columbia.edu).
NIH Public Access Author ManuscriptNat Genet. Author manuscript; available in PMC 2008 December 22.
Published in final edited form as:Nat Genet. 2002 March ; 30(3): 335-341. doi:10.1038/ng832.
NIH-PA Author ManuscriptNIH-PA Author Manuscript
NIH-PA Author ManuscriptIn 1995 we mapped the ADPEAF locus to a 10-cM region on chromosome 10q24 in a single extended pedigree 2 . Linkage was subsequently reported to an overlapping interval in another large family, narrowing the minimal genetic region to approximately 3 cM, assuming the causative gene was the same 4 . Analysis of additional pedigrees confirmed the linkage but failed to narrow the region further 5-7 . To screen for disease-related mutations, we resequenced all coding-exon and bordering-intron sequences from positional candidate genes in the overlap interval in one affected individual from each of three ADPEAF pedigrees showing linkage to chromosome 10q24 (families 6610, A and B; Fig. 2) 2,7 . We then genotyped putative diseaserelated mutations in all available family members from the three linked pedigrees, all family members from two smaller families with ADPEAF (families C and D; Fig. 2) and 123 unrelated control individuals.Resequencing of LGI1 identified presumptive mutations in each of the five families with ADPEAF (Table 1 and Fig. 2). All tested affected individuals from the five families harbored a single copy of a putative disease mutation, as did all obligate carriers and individuals classified as 'unknown' who were found to carry the disease-linked haplotype (Fig. 2). Several unaffected individuals also carried the disease haplotype and presumptive mutation. Whether these individuals manifest subclinical signs of disease or have undergone recent changes in affection status is not yet known, but the results are consistent with our previous estimate of 71% disease-gene penetrance in family 6610 (ref.2).To di...
The absence of head-to-head trials is a common challenge in comparative effectiveness research and health technology assessment. Indirect cross-trial treatment comparisons are possible, but can be biased by cross-trial differences in patient characteristics. Using only published aggregate data, adjustment for such biases may be impossible. Although individual patient data (IPD) would permit adjustment, they are rarely available for all trials. However, many researchers have the opportunity to access IPD for trials of one treatment, a new drug for example, but only aggregate data for trials of comparator treatments. We propose a method that leverages all available data in this setting by adjusting average patient characteristics in trials with IPD to match those reported for trials without IPD. Treatment outcomes, including continuous, categorical and censored time-to-event outcomes, can then be compared across balanced trial populations. The proposed method is illustrated by a comparison of adalimumab and etanercept for the treatment of psoriasis. IPD from trials of adalimumab versus placebo (n = 1025) were re-weighted to match the average baseline characteristics reported for a trial of etanercept versus placebo (n = 330). Re-weighting was based on the estimated propensity of enrolment in the adalimumab versus etanercept trials. Before matching, patients in the adalimumab trials had lower mean age, greater prevalence of psoriatic arthritis, less prior use of systemic treatment or phototherapy, and a smaller mean percentage of body surface area affected than patients in the etanercept trial. After matching, these and all other available baseline characteristics were well balanced across trials. Symptom improvements of ≥75% and ≥90% (as measured by the Psoriasis Area and Severity Index [PASI] score at week 12) were experienced by an additional 17.2% and 14.8% of adalimumab-treated patients compared with the matched etanercept-treated patients (respectively, both p < 0.001). Mean percentage PASI score improvements from baseline were also greater for adalimumab than for etanercept at weeks 4, 8 and 12 (all p < 0.05). Matching adjustment ensured that this indirect comparison was not biased by differences in mean baseline characteristics across trials, supporting the conclusion that adalimumab was associated with significantly greater symptom reduction than etanercept for the treatment of moderate to severe psoriasis.
For chronic OAB/UI patients identified in this study, both persistence and adherence with medication treatment were suboptimal. These results suggest that persistence and treatment discontinuation remains problematic for the OAB/UI population.
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