Human genetics
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Longevity and healthy aging are among the most complex phenotypes studied to date. The heritability of age at death in adulthood is approximately 25 %. Studies of exceptionally long-lived individuals show that heritability is greatest at the oldest ages. ⋯ Centenarians delay age-related methylation changes, and they can pass this methylation preservation ability on to their offspring. Non-genetic factors, particularly lifestyle, clearly affect the development of age-related diseases and affect health and lifespan in the general population. To fully understand the desirable phenotypes of healthy aging and longevity, it will be necessary to examine whole genome data from large numbers of healthy long-lived individuals to look simultaneously at both common and rare alleles, with impeccable control for population stratification and consideration of non-genetic factors such as environment.
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Migraine is an episodic neurovascular disorder that is clinically divided into two main subtypes that are based on the absence or presence of an aura: migraine without aura (MO) and migraine with aura (MA). Current molecular genetic insight into the pathophysiology of migraine predominantly comes from studies of a rare monogenic subtype of migraine with aura called familial hemiplegic migraine (FHM). Three FHM genes have been identified, which all encode ion transporters, suggesting that disturbances in ion and neurotransmitter balances in the brain are responsible for this migraine type, and possibly the common forms of migraine. ⋯ Therefore, the recent introduction of more refined methods of phenotyping, such as latent-class analysis and trait component analysis, may be certainly helpful. Combining the new phenotyping methods with genome-wide association studies may be a successful strategy toward identification of migraine susceptibility genes. Likely the identification of reliable biomarkers for migraine diagnosing will make these efforts even more successful.
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Review
Methods for meta-analysis in genetic association studies: a review of their potential and pitfalls.
Meta-analysis offers the opportunity to combine evidence from retrospectively accumulated or prospectively generated data. Meta-analyses may provide summary estimates and can help in detecting and addressing potential inconsistency between the combined datasets. Application of meta-analysis in genetic associations presents considerable potential and several pitfalls. ⋯ An alternative to overcome limitations arising from retrospective combination of data from published studies is to create networks of research teams working in the same field and perform collaborative meta-analyses of individual participant data, ideally on a prospective basis. We discuss the advantages and the challenges inherent in such collaborative approaches. Meta-analysis can be a useful tool in dissecting the genetics of complex diseases and traits, provided its methods are properly applied and interpreted.
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The field of migraine genetics has seen an explosion of information over the last year. In a recent breakthrough, missense mutations in a chromosome 1q23 gene, ATP1A2, encoding a Na+, K+-ATPase, have been identified in four distinct pedigrees with a rare form of familial hemiplegic migraine (FHM). ATP1A2 is expressed in the brain, like the voltage gated calcium channel gene, CACNA1A, previously identified as the first hemiplegic migraine gene (FHM1). ⋯ However, these polymorphisms do not result in detectable changes in receptor function. The continuing genetic identification of key proteins involved in migraine will refine our understanding of this common and sometimes debilitating disorder, which can strike during the most productive years of a person's life. Given the co-morbidity of migraine with depression and bipolar disorder, our knowledge of the causes of migraine may also contribute to our understanding of these disorders.