Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Genetic Load”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 73 records · Page 4Linked to original sources

Assay of locus-specific genetic load implicates rare Toll-like receptor 4 mutations in meningococcal susceptibility.

As the central component of the human endotoxin sensor, Toll-like receptor 4 (TLR4) functions in the early detection and response to Gram-negative infection. We therefore examined a large collection of patients with meningococcal sepsis, comparing the frequency of rare TLR4 coding changes to those in an ethnically matched control population. TLR2 sequences were also acquired and compared. Total nucleotide variation at TLR4 and TLR2 loci was assayed by using a novel computational method. A total of 3.01 megabases of coding sequence was captured at these loci from white subjects with or without meningococcal disease. Authentic mutations were found and high-quality, bidirectional coverage was measured across the coding region by using mutationseeker, a program specifically designed to assay locus-specific genetic load. Using a method that obviates the confounding effect of linkage disequilibrium, we observed that rare heterozygous missense mutations of TLR4 contribute to the development of systemic meningococcal disease among white populations of the southern United Kingdom (P = 0.02; odds ratio 8.2). When results from all white populations were pooled, an overwhelmingly significant excess of such mutations was observed among individuals with disease (P = 2 x 10(-6); odds ratio 27.0). The common white TLR4 variant (TLR4B), synonymous TLR4 substitutions, and variant TLR2 alleles were not significantly over-represented among patients with systemic meningococcal infections. No single variant of TLR4 was significantly over-represented in the meningococcal population. Collectively, however, rare TLR4 coding variants were markedly over-represented. Sensing via TLR4 probably contributes to the early containment of meningococcal infection, and sensing defects create increased risk of disease.

Alleles↗

Inbreeding uncovers fundamental differences in the genetic load affecting male and female fertility in a butterfly.

Inbreeding depression is most pronounced for traits closely associated with fitness. The traditional explanation is that natural selection eliminates deleterious mutations with additive or dominant effects more effectively than recessive mutations, leading to directional dominance for traits subject to strong directional selection. Here we report the unexpected finding that, in the butterfly Bicyclus anynana, male sterility contributes disproportionately to inbreeding depression for fitness (complete sterility in about half the sons from brother-sister matings), while female fertility is insensitive to inbreeding. The contrast between the sexes for functionally equivalent traits is inconsistent with standard selection arguments, and suggests that trait-specific developmental properties and cryptic selection play crucial roles in shaping genetic architecture. There is evidence that spermatogenesis is less developmentally stable than oogenesis, though the unusually high male fertility load in B. anynana additionally suggests the operation of complex selection maintaining male sterility recessives. Analysis of the precise causes of inbreeding depression will be needed to generate a model that reliably explains variation in directional dominance and reconciles the gap between observed and expected genetic loads carried by populations. This challenging evolutionary puzzle should stimulate work on the occurrence and causes of sex differences in fertility load.

Animals↗

Genetic load.

Explore the source record for details and available documents.

Drosophila↗

Inbreeding depression and genetic load of sexually selected traits: how the guppy lost its spots.

To date, few studies have investigated the effects of inbreeding on sexually selected traits, although inbreeding depression on such traits can play an important role in the evolution and ecology of wild populations. Sexually selected traits such as ornamentation and courtship behaviour may not be primary fitness characters, but selection and dominance coefficients of their mutations will resemble those of traits under natural selection. Strong directional selection, for instance, through female mate-choice, purges all but the most recessive deleterious mutations, and the remaining dominance variation will result in inbreeding depression once populations undergo bottlenecks. We analysed the effects of inbreeding on sexually selected traits (colour pattern and courtship behaviour) in the male guppy, Poecilia reticulata, from Trinidad, and found a significant decline in the frequency of mating behaviour and colour spots. Such effects occurred although the genetic basis of these traits, many of which are Y-linked and hemizygous, would be expected to leave relatively little scope for inbreeding depression. Findings suggest that these sexually selected traits could reflect the genetic condition or health of males, and thus may be informative mate-cue characters for female choice as suggested by the 'good genes' model.

Animals↗

Genetic load on amygdala hypofunction during sadness in nonaffected brothers of schizophrenia patients.

OBJECTIVE: In a previous study, the authors reported that patients with schizophrenia show subcortical-limbic hypoactivity during sadness. In this study, they capitalized on those findings in order to assess the genetic influence of negative mood experience in schizophrenia patients. Brain activity was measured during mood induction in patients with schizophrenia and their first-degree nonaffected relatives. METHOD: Functional magnetic resonance imaging was used to investigate 13 male patients with schizophrenia, their nonaffected brothers (N=13), and a group of 26 individually matched healthy subjects unrelated to the siblings during induction of sad and happy moods as well as during a cognitive control task. A regional analysis was applied to investigate a possible subcortical-limbic dysfunction in relatives. RESULTS: Mood induction was successful in all groups according to subjective ratings. During sadness induction, the patients and their nonaffected siblings demonstrated less activity in the amygdala compared with the healthy group of nonrelatives. Other regions of interest, such as the left orbitofrontal cortex, the left superior temporal cortex, and the left precuneus/posterior cingulate revealed significant group differences only between patients and nonrelated healthy subjects. During positive mood induction, no group differences could be found in the amygdala. CONCLUSIONS: Following induction of sad mood, both patients with schizophrenia and their nonaffected brothers displayed reduced brain activity in the amygdala. Such hypoactivity is likely to represent a genetic influence and indicates that efficient compensatory mechanisms capable of preventing the onset of the illness must exist in nonaffected relatives.

Adult↗

[Medico-genetic study of the population of Uzbekistan. VIII. Territorial distribution of hereditary diseases in the population of four regions of the Khorezm province and its genetic load].

The load of hereditary diseases was estimated on the basis of data obtained during medical-genetic study of the population of four districts of Khorezm province. The load of autosomal recessive disorders comprised 2-3 X 10(-3) affected, that of autosomal dominant disorders - 0.4-0.5 X 10(-3) and that of X-linked disorders - 0.2-0.4 X 10(-3) males. The main part of patients with autosomal recessive disorders belonged to separate families randomly spread over the populations. A trend for local accumulation of families with the same disorder was observed in small populations. It was shown that overall frequency of autosomal recessive genes per individual increased with the increase in the population size.

Gene Frequency↗