Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: UNIPROT:P21817 (RyR1)
 1,154 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Calcitonin gene related peptide (CGRP) is a vasodilator; its plasma levels are altered in several human diseases, including migraine, hypertension and diabetes. CGRP is locally released by motor neurons, and is overexpressed in response to surgical or pharmacological blockage of neuromuscular transmission. Additionally to a brief discussion with regard to the clinical relevance of CGRP, this review focuses on the effects of CGRP on skeletal muscle excitation-contraction (EC) coupling, as well as the corresponding pathophysiological consequences. EC coupling involves activation of 2 different types of calcium channels: dihydropyridine receptors (DHPRs) located at the sarcolemma, and ryanodine receptors (RyR1s) located at the sarcoplasmic reticulum (SR). In response to electrical depolarization, DHPRs activate nearby and physically bound RyR1s, allowing Ca(2+) from the SR to move into the cytosol (termed voltage-gated Ca(2+) release, or VGCR). We recently found that CGRP stimulates VGCR by 350 % in as short as 1h. This effect, which lasts for at least 48 h, is due to activation of the CGRP receptor, and requires activation of the cAMP/PKA signaling pathway. CGRP also increases the amplitude of caffeine-induced Ca(2+) release (400 %); suggesting increased SR Ca(2+) content underlies stimulation of VGCR. Interestingly, in the long-term CGRP also increases the density of sarcolemmal DHPRs (up to 30%, within 24-48 h). We propose that these CGRP effects may contribute to prevent and/or restore symptoms in central core disease (CCD); a congenital myopathy that is linked to mutations in the gene encoding RyR1.
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PMID:CGRP, a vasodilator neuropeptide that stimulates neuromuscular transmission and EC coupling. 1948 22

A common approach to genetic mapping of loci for complex diseases is to perform a genome-wide association study (GWAS) by analyzing a vast number of SNP markers in cohorts of unrelated cases and controls. A direct motivation for the case-control design is that unrelated, affected individuals can be easier to collect than large families with multiple affected persons in the Western world. Despite its higher potential power, investigators have not actively pursued family ascertainment in part because of a dearth of methods for analyzing such correlated data on a large scale. We examine the statistical properties of several commonly used family-based association tests, as to their performance using real-life mixtures of families and singletons taken from our own migraine and schizophrenia studies, as well as population-based data for a complex trait simulated with the evolutionary phenogenetic simulator, ForSim. In virtually every situation, the full likelihood-based methods in the PSEUDOMARKER program outperformed those implemented in FBAT, GENEHUNTER TDT, PLINK (family-based options), HRR/HHRR, QTDT, TRANSMIT, UNPHASED, MENDEL, and LAMP. We further show that GWAS is much more powerful when family samples are used rather than unrelateds, on a genotype-by-genotype basis.
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PMID:On the statistical properties of family-based association tests in datasets containing both pedigrees and unrelated case-control samples. 2193 7