9 research outputs found

    Dopamine D3 receptor gene and tardive dyskinesia in Chinese schizophrenic patients

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    Epidemiological studies have shown a lower prevalence of tardive dyskinesia (TD) among Chinese psychiatric patients compared to Caucasian and Black patient populations. It has been hypothesized that pharmacogenetic factors may underlie this cross-cultural difference. Due to the important implications of the dopamine D3 receptor gene (DRD3) in motor control, we investigated the frequency of polymorphic serine (ser) to glycine (gly) substitution of the gene DRD3 in Chinese schizophrenic patients. The sample size consisted of 65 patients with TD and 66 without TD. Patients were assessed for the severity of TD, the presence of akathisia and parkinsonian symptoms and were subsequently genotyped. We found no evidence that the dopamine D3 receptor gene is likely to confer susceptibility to the development of tardive dyskinesia in Chinese patients with schizophrenia.link_to_subscribed_fulltex

    Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

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    This corrects the article DOI: 10.1038/sdata.2017.179

    Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

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    To investigate the genetic basis of type 2 diabetes (T2D) to high resolution, the GoT2D and T2D-GENES consortia catalogued variation from whole-genome sequencing of 2,657 European individuals and exome sequencing of 12,940 individuals of multiple ancestries. Over 27M SNPs, indels, and structural variants were identified, including 99% of low-frequency (minor allele frequency [MAF] 0.1-5%) non-coding variants in the whole-genome sequenced individuals and 99.7% of low-frequency coding variants in the whole-exome sequenced individuals. Each variant was tested for association with T2D in the sequenced individuals, and, to increase power, most were tested in larger numbers of individuals (>80% of low-frequency coding variants in ~82 K Europeans via the exome chip, and ~90% of low-frequency non-coding variants in ~44 K Europeans via genotype imputation). The variants, genotypes, and association statistics from these analyses provide the largest reference to date of human genetic information relevant to T2D, for use in activities such as T2D-focused genotype imputation, functional characterization of variants or genes, and other novel analyses to detect associations between sequence variation and T2D

    Data Descriptor: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

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    The genetic architecture of type 2 diabetes.

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    The genetic architecture of common traits, including the number, frequency, and effect sizes of inherited variants that contribute to individual risk, has been long debated. Genome-wide association studies have identified scores of common variants associated with type 2 diabetes, but in aggregate, these explain only a fraction of the heritability of this disease. Here, to test the hypothesis that lower-frequency variants explain much of the remainder, the GoT2D and T2D-GENES consortia performed whole-genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing in 12,940 individuals from five ancestry groups. To increase statistical power, we expanded the sample size via genotyping and imputation in a further 111,548 subjects. Variants associated with type 2 diabetes after sequencing were overwhelmingly common and most fell within regions previously identified by genome-wide association studies. Comprehensive enumeration of sequence variation is necessary to identify functional alleles that provide important clues to disease pathophysiology, but large-scale sequencing does not support the idea that lower-frequency variants have a major role in predisposition to type 2 diabetes

    The genetic architecture of type 2 diabetes

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