88 research outputs found
Applications of multispectral photography to water resources development planning in the lower Mekong Basin (Khmer Republic, Laos, Thailand and Viet-Nam)
Applications of multispectral photography to water resources development planning in lower Mekong basin (Khmer Republic, Laos, Thailand, and Vietnam
Inbreeding and purging at the genomic level: the Chillingham cattle reveal extensive, non-random SNP heterozygosity
Local breeds of livestock are of conservation significance as components of global
biodiversity and as reservoirs of genetic variation relevant to the future sustainability of
agriculture. One such rare historic breed, the Chillingham cattle of northern England, has a
350-year history of isolation and inbreeding yet shows no diminution of viability or fertility.
The Chillingham cattle have not been subjected to selective breeding. It has been suggested
previously that the herd has minimal genetic variation. In this study, high-density SNP
genotyping with the 777K SNP chip showed that 9.1% of loci on the chip are polymorphic
in the herd, compared with 62–90% seen in commercial cattle breeds. Instead of being
homogeneously distributed along the genome, these loci are clustered at specific
chromosomal locations. A high proportion of the Chillingham individuals examined were
heterozygous at many of these polymorphic loci, suggesting that some loci are under
balancing selection. Some of these frequently heterozygous loci have been implicated as sites
of recessive lethal mutations in cattle. Linkage disequilibrium equal or close to 100% was
found to span up to 1350 kb, and LD was above r2 = 0.25 up to more than 5000 kb. This
strong LD is consistent with the lack of polymorphic loci in the herd. The heterozygous
regions in the Chillingham cattle may be the locations of genes relevant to fitness or
survival, which may help elucidate the biology of local adaptation in traditional breeds and
facilitate selection for such traits in commercial cattle
Genetic association analysis of N-methyl-d-aspartate receptor subunit gene GRIN2B and clinical response to clozapine
OBJECTIVE: Approximately 30% of patients with schizophrenia fail to respond to antipsychotic therapy and are classified as having treatment-resistant schizophrenia. Clozapine is the most efficacious drug for treatment-resistant schizophrenia and may deliver superior therapeutic effects partly by modulating glutamate neurotransmission. Response to clozapine is highly variable and may depend on genetic factors as indicated by twin studies. We investigated eight polymorphisms in the N-methyl-d-aspartate glutamate receptor subunit gene GRIN2B with response to clozapine. METHODS: GRIN2B variants were genotyped using standard TaqMan procedures in 175 European patients with schizophrenia deemed resistant or intolerant to treatment. Response was assessed using change in Brief Psychiatric Rating Scale scores following six months of clozapine therapy. Categorical and continuous response was assessed using chi-squared test and analysis of covariance, respectively. RESULTS: No associations were observed between the variants and response to clozapine. A-allele carriers of rs1072388 responded marginally better to clozapine therapy than GG-homozygotes; however, the difference was not statistically significant (p = 0.067, uncorrected). CONCLUSIONS: Our findings do not support a role for these GRIN2B variants in altering response to clozapine in our sample. Investigation of additional glutamate variants in clozapine response is warranted. Copyright © 2016 John Wiley & Sons, Ltd
Current status on Alzheimer disease molecular genetics: from past, to present, to future
Linkage studies, candidate gene and whole-genome association studies have resulted in a tremendous amount of putative risk genes for Alzheimer's disease (AD). Yet, besides the three causal genes—amyloid precursor protein and presenilin 1 and 2 genes—and one risk gene apolipoprotein E (APOE), no single functional risk variant was identified. Discussing the possible involvement of rare alleles and other types of genetic variants, this review summarizes the current knowledge on the genetic spectrum of AD and integrates different approaches and recent discoveries by genome-wide association studies
Comparison of linkage disequilibrium and haplotype diversity on macro- and microchromosomes in chicken
<p>Abstract</p> <p>Background</p> <p>The chicken (<it>Gallus gallus</it>), like most avian species, has a very distinct karyotype consisting of many micro- and a few macrochromosomes. While it is known that recombination frequencies are much higher for micro- as compared to macrochromosomes, there is limited information on differences in linkage disequilibrium (LD) and haplotype diversity between these two classes of chromosomes. In this study, LD and haplotype diversity were systematically characterized in 371 birds from eight chicken populations (commercial lines, fancy breeds, and red jungle fowl) across macro- and microchromosomes. To this end we sampled four regions of ~1 cM each on macrochromosomes (GGA1 and GGA2), and four 1.5 -2 cM regions on microchromosomes (GGA26 and GGA27) at a high density of 1 SNP every 2 kb (total of 889 SNPs).</p> <p>Results</p> <p>At a similar physical distance, LD, haplotype homozygosity, haploblock structure, and haplotype sharing were all lower for the micro- as compared to the macrochromosomes. These differences were consistent across populations. Heterozygosity, genetic differentiation, and derived allele frequencies were also higher for the microchromosomes. Differences in LD, haplotype variation, and haplotype sharing between populations were largely in line with known demographic history of the commercial chicken. Despite very low levels of LD, as measured by r<sup>2 </sup>for most populations, some haploblock structure was observed, particularly in the macrochromosomes, but the haploblock sizes were typically less than 10 kb.</p> <p>Conclusion</p> <p>Differences in LD between micro- and macrochromosomes were almost completely explained by differences in recombination rate. Differences in haplotype diversity and haplotype sharing between micro- and macrochromosomes were explained by differences in recombination rate and genotype variation. Haploblock structure was consistent with demography of the chicken populations, and differences in recombination rates between micro- and macrochromosomes. The limited haploblock structure and LD suggests that future whole-genome marker assays will need 100+K SNPs to exploit haplotype information. Interpretation and transferability of genetic parameters will need to take into account the size of chromosomes in chicken, and, since most birds have microchromosomes, in other avian species as well.</p
Genotype, haplotype and copy-number variation in worldwide human populations
Genome-wide patterns of variation across individuals provide a powerful source of data for uncovering the history of migration, range expansion, and adaptation of the human species. However, high-resolution surveys of variation in genotype, haplotype and copy number have generally focused on a small number of population groups(1-3). Here we report the analysis of high-quality genotypes at 525,910 single-nucleotide polymorphisms ( SNPs) and 396 copy-number-variable loci in a worldwide sample of 29 populations. Analysis of SNP genotypes yields strongly supported fine-scale inferences about population structure. Increasing linkage disequilibrium is observed with increasing geographic distance from Africa, as expected under a serial founder effect for the out-of-Africa spread of human populations. New approaches for haplotype analysis produce inferences about population structure that complement results based on unphased SNPs. Despite a difference from SNPs in the frequency spectrum of the copy-number variants (CNVs) detected-including a comparatively large number of CNVs in previously unexamined populations from Oceania and the Americas-the global distribution of CNVs largely accords with population structure analyses for SNP data sets of similar size. Our results produce new inferences about inter-population variation, support the utility of CNVs in human population-genetic research, and serve as a genomic resource for human-genetic studies in diverse worldwide populations.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/62552/1/nature06742.pd
Genomewide association study in cervical dystonia demonstrates possible association with sodium leak channel.
Dystonia is a common movement disorder. A number of monogenic causes have been identified. However, the majority of dystonia cases are not explained by single gene defects. Cervical dystonia is one of the commonest forms without genetic causes identified. This pilot study aimed to identify large effect-size risk loci in cervical dystonia. A genomewide association study (GWAS) was performed. British resident cervical dystonia patients of European descent were genotyped using the Illumina-610-Quad. Comparison was made with controls of European descent from the Wellcome Trust Case Control Consortium using logistic regression algorithm from PLINK. SNPs not genotyped by the array were imputed with 1000 Genomes Project data using the MaCH algorithm and minimac. Postimputation analysis was done with the mach2dat algorithm using a logistic regression model. After quality control measures, 212 cases were compared with 5173 controls. No single SNP passed the genomewide significant level of 5 × 10(-8) in the analysis of genotyped SNP in PLINK. Postimputation, there were 5 clusters of SNPs that had P value <5 × 10(-6) , and the best cluster of SNPs was found near exon 1 of NALCN, (sodium leak channel) with P = 9.76 × 10(-7) . Several potential regions were found in the GWAS and imputation analysis. The lowest P value was found in NALCN. Dysfunction of this ion channel is a plausible cause for dystonia. Further replication in another cohort is needed to confirm this finding. We make this data publicly available to encourage further analyses of this disorder. © 2013 International Parkinson and Movement Disorder Society
Efficient genomic prediction based on whole-genome sequence data using split-and-merge Bayesian variable selection
Rare intronic variants of TCF7L2 arising by selective sweeps in an indigenous population from Mexico
- …
