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Wide Association Study (wide + association_study)

Distribution by Scientific Domains
Life Sciences62%
Medical Sciences37%

Kinds of Wide Association Study

  • genome wide association study
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    Selected Abstracts

    Genetic association analysis: a primer on how it works, its strengths and its weaknesses

    INTERNATIONAL JOURNAL OF ANDROLOGY, Issue 6 2008
    Laura Rodriguez-Murillo
    Summary Currently, the most used approach to mapping disease genes is the genome wide association study, using large samples of cases and controls and hundreds of thousands of markers spread throughout the genome. This review focuses in explaining how an association study works, its strengths and its weaknesses, and the methods available to analyse the data. Issues related to sample size, genetic effect sizes, epistasis, replication and population stratification are specifically addressed, issues that an investigator must take into account when planning an association study of any complex disease. Finally, we include some special features concerning association studies in the Y chromosome, and we contrast the analysis characteristics of linkage and association. [source]

    Human Variation in Alcohol Response Is Influenced by Variation in Neuronal Signaling Genes

    ALCOHOLISM, Issue 5 2010
    Geoff Joslyn
    Background:, Alcohol use disorders (AUD) exhibit the properties shared by common conditions and diseases classified as genetically complex. The etiology of AUDs is heterogeneous involving mostly unknown interactions of environmental and heritable factors. A person's level of response (LR) to alcohol is inversely correlated with a family history and the development of AUDs. As an AUD endophenotype, alcohol LR is hypothesized to be less genetically complex and closer to the primary etiology of AUDs. Methods:, A genome wide association study (GWAS) was performed on subjects characterized for alcohol LR phenotypes. Gene Set Enrichment Analysis (GSEA) of the GWAS data was performed to determine whether, as a group, genes that participate in a common biological function (a gene set) demonstrate greater genetic association than would be randomly expected. Results:, The GSEA analysis implicated variation in neuronal signaling genes, especially glutamate signaling, as being involved in alcohol LR variability in the human population. Conclusions:, These data, coupled with cell and animal model data implicating neuronal signaling in alcohol response, support the conclusion that neuronal signaling is mechanistically involved in alcohol's cellular and behavioral effects. Further, these data suggest that genetic variation in these signaling pathways contribute to human variation in alcohol response. Finally, this concordance of the cell, animal, and human findings supports neuronal signaling, particularly glutamate signaling, as a prime target for translational studies to understand and eventually modulate alcohol's effects. [source]

    A genome wide association study for QTL affecting direct and maternal effects of stillbirth and dystocia in cattle

    ANIMAL GENETICS, Issue 3 2010
    H. G. Olsen
    Summary Dystocia and stillbirth are significant causes of female and neonatal death in many species and there is evidence for a genetic component to both traits. Identifying causal mutations affecting these traits through genome wide association studies could reveal the genetic pathways involved and will be a step towards targeted interventions. Norwegian Red cattle are an ideal model breed for such studies as very large numbers of records are available. We conducted a genome wide association study for direct and maternal effects of dystocia and stillbirth using almost 1 million records of these traits. Genotyping costs were minimized by genotyping the sires of the recorded cows, and using daughter averages as phenotypes. A dense marker map containing 17 343 single nucleotide polymorphisms covering all autosomal chromosomes was utilized. The genotyped sires were assigned to one of two groups in an attempt to ensure independence between the groups. Associations were only considered validated if they occurred in both groups. Strong associations were found and validated on chromosomes 4, 5, 6, 9, 12, 20, 22 and 28. The QTL region on chromosome 6 was refined using LDLA analysis. The results showed that this chromosome most probably contains two QTL for direct effect on dystocia and one for direct effect on stillbirth. Several candidate genes may be identified close to these QTL. Of these, a cluster of genes expected to affect bone and cartilage formation (i.e. SPP1, IBSP and MEPE) are of particular interest and we suggest that these genes are screened in candidate gene studies for dystocia and stillbirth in cattle as well as other species. [source]

    A whole genome association analysis identifies loci associated with Mycobacterium avium subsp. paratuberculosis infection status in US holstein cattle

    ANIMAL GENETICS, Issue 5 2009
    M. Settles
    Summary The purpose of this study was to identify loci associated with Mycobacterium avium subspecies paratuberculosis (Map) infection status in US Holsteins using the Illumina BovineSNP50 BeadChip whole genome single nucleotide polymorphism (SNP) assay. Two hundred forty-five cows from dairies in New York, Pennsylvania and Vermont enrolled in longitudinal herd studies between January 1999 and November 2007 were assessed for the presence of Map in both faecal and tissue samples. An animal was considered tissue infected if any sample contained at least one colony forming unit of Map per gram of tissue (CFU/g) and the same definition was employed for faecal samples. Each animal was genotyped with the Illumina BovineSNP50 BeadChip and after quality assurance filtering, 218 animals and 45 683 SNPs remained. We sought to identify loci associated with four different case/control classifications: presence of Map in the tissue, presence of Map in faeces, presence of Map in both tissue and faeces and presence of Map in tissue but not faeces. A case,control genome wide association study was conducted to test the four different classifications of Map infection status (cases) when compared with a Map -negative control group (control). Regions on chromosomes 1, 5, 7, 8, 16, 21 and 23 were identified with moderate significance (P < 5 × 10,5). Two regions, one on chromosome 3 (near EDN2) and another on chromosome 9 (no positional gene candidates), were identified with a high level of association to the presence of Map in tissue and both tissue and faeces respectively (P < 5 × 10,7, genome-wide Bonferonni P < 0.05). [source]

    Genetic variants in RELN are associated with otosclerosis in a non-European population from Tunisia

    ANNALS OF HUMAN GENETICS, Issue 5 2010
    Ayda Khalfallah
    Summary Otosclerosis is a common form of conductive hearing loss, caused by an abnormal bone remodelling in the otic capsule. Both environmental and genetic factors have been implicated in the etiology of this disease. A recent genome wide association study identified two regions associated with otosclerosis, one on chr7q22.1, located in the RELN gene, and one on chr11q13.1. A second study in four European populations has replicated the association of the RELN gene with otosclerosis. To investigate the association of these loci with otosclerosis in a non-European population, we tested 11 SNPs from the two regions in 149 unrelated Tunisian patients and 152 controls. Four SNPs were significantly associated with otosclerosis. Three SNPs are located in the RELN region and the last one is located in the region on chromosome 11. We also observed a significant interaction with gender for rs3914132. This suggests an influence of sex on the association of RELN with otosclerosis. A meta-analysis showed that the disease-associated alleles in the Tunisian sample are the same as in all previously reported associations. Our study provides additional evidence implicating RELN in the development of otosclerosis. Additional functional studies should determine the role of RELN in the physiopathology of this disease. [source]

    Study of Regions of Extended Homozygosity Provides a Powerful Method to Explore Haplotype Structure of Human Populations

    ANNALS OF HUMAN GENETICS, Issue 2 2008
    D. Curtis
    Summary Previous investigations have reported linkage disequilibrium occurring between nearby polymorphisms, a block-like structure for such relationships, some instances where surprisingly few haplotypes are found and regions of extended homozygosity which are especially marked around centromeres and which are especially common on the X chromosome. We investigated the distribution and nature of regions of extended homozygosity in a sample of 1411 subjects included in a genome wide association study. Regions of extended homozygosity over 1Mb are common, with an average of 35.9 occurring per subject, and containing on average 73 homozygous markers. They have a markedly non-random distribution. They are relatively common on the X chromosome and are seen at centromeres but are also concentrated at other chromosomal regions where presumably recombination is rare. They seem to be a consequence of some haplotypes being very common in the population and although sometimes this reflects the effect of a very common haplotype we also note that there are examples of two or three common haplotypes, each very different from each other, underlying this effect. Regions of extended homozygosity are commoner than previously appreciated. They result from the presence of extended haplotypes with high population frequency. Such regions concentrate in particular locations. The haplotypes involved are sometimes markedly disparate from each other. These regions offer a valuable opportunity for further investigation, in particular with regard to their ancestral history. [source]

    Verification that common variation at 2q37.1, 6p25.3, 11q24.1, 15q23, and 19q13.32 influences chronic lymphocytic leukaemia risk

    BRITISH JOURNAL OF HAEMATOLOGY, Issue 4 2010
    Dalemari Crowther-Swanepoel
    Summary A recent genome wide association study of chronic lymphocytic leukaemia (CLL) provided evidence that common variation at 2q13 (rs17483466), 2q37.1 (rs13397985), 6p25.3 (rs872071), 11q24.1 (rs735665), 15q23 (rs7176508) and 19q13.32 (rs11083846) affects CLL risk. To verify and further explore the relationship between these variants and CLL risk we genotyped case-control datasets from Spain and Sweden (824 cases, 850 controls). Combined data provided statistically significant support for an association between genotypes at rs13397985, rs872071, rs735665, rs7176508 and rs11083846 and CLL risk. CLL risk increased with increasing numbers of risk alleles (Ptrend = 1·40 × 10,15), consistent with a polygenic model of disease susceptibility. These data validate the relationship between common variation and risk of CLL. [source]