Prospective Cohort Study

The assimilation, storage and use of energy from nutrients constitute a homeostatic system that is essential for life In vertebrates, the ability to store sufficient quantities of energy-dense triglyceride in adipose tissue allows survival during the frequent periods of food deprivation encountered during evolution However, the presence of excess adipose tissue can be maladaptive A complex physiological system has evolved to regulate fuel stores and energy balance at an optimum level Leptin, a hormone secreted by adipose tissue, and its receptor are integral components of this system Leptin also signals nutritional status to several other physiological systems and modulates their function Here we review the role of leptin in the control of body weight and its relevance to the pathogenesis of obesity

Leptin and the regulation of body weight in mammals

The reference human genome sequence set the stage for studies of genetic variation and its association with human disease, but epigenomic studies lack a similar reference. To address this need, the NIH Roadmap Epigenomics Consortium generated the largest collection so far of human epigenomes for primary cells and tissues. Here we describe the integrative analysis of 111 reference human epigenomes generated as part of the programme, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression. We establish global maps of regulatory elements, define regulatory modules of coordinated activity, and their likely activators and repressors. We show that disease- and trait-associated genetic variants are enriched in tissue-specific epigenomic marks, revealing biologically relevant cell types for diverse human traits, and providing a resource for interpreting the molecular basis of human disease. Our results demonstrate the central role of epigenomic information for understanding gene regulation, cellular differentiation and human disease.

Integrative analysis of 111 reference human epigenomes

Medical genetics was revolutionized during the 1980s by the application of genetic mapping to locate the genes responsible for simple Mendelian diseases. Most diseases and traits, however, do not follow simple inheritance patterns. Genetics have thus begun taking up the even greater challenge of the genetic dissection of complex traits. Four major approaches have been developed: linkage analysis, allele-sharing methods, association studies, and polygenic analysis of experimental crosses. This article synthesizes the current state of the genetic dissection of complex traits--describing the methods, limitations, and recent applications to biological problems.

https://focus.psychiatryonline.org/doi/pdf/10.1176/foc.4.3.442

Genetic dissection of complex traits

Pathology and genetics of tumours of the urinary system and male genital organs

The main results of segregation analysis aimed at identifying a major genetic factor involved in susceptibility to breast cancer are reviewed. They show that the existence of a single major gene is not sufficient to explain the distribution of the disease observed in the families concerned and suggest that the genetic inheritance involved is heterogeneous and complex. Heterogeneity has been explored in various studies according to epidemiological criteria. From these analyses, genetically homogeneous subgroups emerged (for instance families with breast cancer only or with affected males). The study of such homogeneous subgroups might help to better locate the susceptibility gene(s) on the chromosome map by analysis of genetic linkage using different markers. The results of segregation analysis depend on how epidemiological factors are taken into account. It is of major importance that epidemiological data on the proband (i.e., the individual prompting selection of a family) as well as on the members of his/her family are taken into consideration to improve understanding of the complexity of breast cancer transmission.

Familial susceptibility to breast cancer: A complex inheritance

A re-analysis of familial transmission of congenital glaucoma is performed here using the unified model and considering, respectively, joint and conditional likelihoods. Whereas the familial aggregation of this malformation is consistent with the segregation of a recessive major gene and a high proportion of sporadic cases using conditional likelihood, this is rejected using joint likelihood. The difference in the results obtained using each of these two strategies is discussed.

Further analysis of familial transmission of congenital glaucoma.

The transmission probability model is useful to prevent false inference.

The increase of parental consanguinity in multifactorial inheritance is evaluated by calculating the expected incidence of affected children whose parents are first cousins, using several values, namely for condition frequency and heritability of liability. This increase is compared to the expected increase in recessive inheritance, when one or more loci are involved. The method is illustrated by examples of recessive and multifactorial conditions and applied, as a test of discrimination between different modes of inheritance, to data on congenital glaucoma.

Consanguinity in Multifactorial Inheritance

Different maximum likelihood approaches were used to explore the role of candidate genes in the variability of quantitative trait Q1 while accounting for the effects of age, Q2, and Q3. Segregation analysis, under the class D regressive model, provides evidence for a Mendelian gene effect on the adjusted trait Q1. Results of gene mapping through lod-score analyses remain puzzling. Pairwise lod scores indicate a possible linkage with the candidate gene C5 which is excluded when using tightly linked informative marker loci. Finally, our combined segregation and linkage analysis clearly shows that a C5 linked gene is involved in Q1 variability. However, given the lod-score results within the C5 region, we postulate a more complex mechanism for Q1 than a single di-allelic C5 linked gene. The knowledge of the true model (C5 is MG1 and has three alleles) permits a partial explanation of our results. This study demonstrates the advantages of using complementary approaches to reveal the role of candidate genes in complex traits, and the value of simultaneous estimation of linkage and segregation parameters. © 1995 Wiley-Liss, Inc.

Florence Demenais

Papers

Familial susceptibility to breast cancer: A complex inheritance

Further analysis of familial transmission of congenital glaucoma.

The transmission probability model is useful to prevent false inference.

Consanguinity in Multifactorial Inheritance

How can maximum likelihood methods reveal candidate gene effects on a quantitative trait