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Träfflista för sökning "WFRF:(Kleinman S) srt2:(2015-2019)"

Sökning: WFRF:(Kleinman S) > (2015-2019)

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  • Ganna, A., et al. (författare)
  • Large-scale GWAS reveals insights into the genetic architecture of same-sex sexual behavior
  • 2019
  • Ingår i: Science. - : American Association for the Advancement of Science (AAAS). - 0036-8075 .- 1095-9203. ; 365:6456
  • Tidskriftsartikel (refereegranskat)abstract
    • Twin and family studies have shown that same-sex sexual behavior is partly genetically influenced, but previous searches for specific genes involved have been underpowered. We performed a genome-wide association study (GWAS) on 477,522 individuals, revealing five loci significantly associated with same-sex sexual behavior. In aggregate, all tested genetic variants accounted for 8 to 25% of variation in same-sex sexual behavior, only partially overlapped between males and females, and do not allow meaningful prediction of an individual's sexual behavior. Comparing these GWAS results with those for the proportion of same-sex to total number of sexual partners among nonheterosexuals suggests that there is no single continuum from opposite-sex to same-sex sexual behavior. Overall, our findings provide insights into the genetics underlying same-sex sexual behavior and underscore the complexity of sexuality.
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  • Li, M., et al. (författare)
  • Impact of a cis-associated gene expression SNP on chromosome 20q11.22 on bipolar disorder susceptibility, hippocampal structure and cognitive performance
  • 2016
  • Ingår i: British Journal of Psychiatry. - : Royal College of Psychiatrists. - 0007-1250 .- 1472-1465. ; 208:2, s. 128-137
  • Tidskriftsartikel (refereegranskat)abstract
    • Background Bipolar disorder is a highly heritable polygenic disorder. Recent enrichment analyses suggest that there may be true risk variants for bipolar disorder in the expression quantitative trait loci (eQTL) in the brain. We sought to assess the impact of eQTL variants on bipolar disorder risk by combining data from both bipolar disorder genome-wide association studies (GWAS) and brain eQTL. To detect single nucleotide polymorphisms (SNPs) that influence expression levels of genes associated with bipolar disorder, we jointly analysed data from a bipolar disorder GWAS (7481 cases and 9250 controls) and a genome-wide brain (cortical) eQTL (193 healthy controls) using a Bayesian statistical method, with independent follow-up replications. The identified risk SNP was then further tested for association with hippocampal volume (n = 577 5) and cognitive performance (n = 342) among healthy individuals. Integrative analysis revealed a significant association between a brain eQTL rs6088662 on chromosome 20q11.22 and bipolar disorder (log Bayes factor = 5.48; bipolar disorder P=5.85 x 10(-5)). Follow-up studies across multiple independent samples confirmed the association of the risk SNP (rs6088662) with gene expression and bipolar disorder susceptibility (P=3.54 x 10(-8)). Further exploratory analysis revealed that rs6088662 is also associated with hippocampal volume and cognitive performance in healthy individuals. Our findings suggest that 20q11.22 is likely a risk region for bipolar disorder; they also highlight the informative value of integrating functional annotation of genetic variants for gene expression in advancing our understanding of the biological basis underlying complex disorders, such as bipolar disorder.
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  • Morris, John A, et al. (författare)
  • An atlas of genetic influences on osteoporosis in humans and mice.
  • 2019
  • Ingår i: Nature genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 51, s. 258-266
  • Tidskriftsartikel (refereegranskat)abstract
    • Osteoporosis is a common aging-related disease diagnosed primarily using bone mineral density (BMD). We assessed genetic determinants of BMD as estimated by heel quantitative ultrasound in 426,824 individuals, identifying 518 genome-wide significant loci (301 novel), explaining 20% of its variance. We identified 13 bone fracture loci, all associated with estimated BMD (eBMD), in ~1.2 million individuals. We then identified target genes enriched for genes known to influence bone density and strength (maximum odds ratio (OR)=58, P=1 × 10-75) from cell-specific features, including chromatin conformation and accessible chromatin sites. We next performed rapid-throughput skeletal phenotyping of 126 knockout mice with disruptions in predicted target genes and found an increased abnormal skeletal phenotype frequency compared to 526 unselected lines (P<0.0001). In-depth analysis of one gene, DAAM2, showed a disproportionate decrease in bone strength relative to mineralization. This genetic atlas provides evidence linking associated SNPs to causal genes, offers new insight into osteoporosis pathophysiology, and highlights opportunities for drug development.
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  • Antonini, Angelo, et al. (författare)
  • Developing consensus among movement disorder specialists on clinical indicators for identification and management of advanced Parkinson’s disease : a multi-country Delphi-panel approach
  • 2018
  • Ingår i: Current Medical Research and Opinion. - : Informa UK Limited. - 0300-7995 .- 1473-4877. ; 34:12, s. 2063-2073
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Lack of a global consensus on the definition of advanced Parkinson’s disease (APD) and considerations for timing of device-aided therapies may result in heterogeneity in care. Objectives: To reach consensus among movement disorder specialists regarding key patient characteristics indicating transition to APD and guiding appropriate use of device-aided therapies in the management of PD symptoms. Methods: A Delphi-panel approach was utilized to synthesize opinions of movement disorder specialists and build consensus. Results: A panel was comprised of movement disorder specialists from 10 European countries with extensive experience of treating PD patients (mean =24.8 ± 7.2 years). Consensus on indicators of suspected APD and eligibility for device-aided therapies were based on motor symptoms, non-motor symptoms, and functional impairments. Key indicators of APD included: (i) motor—moderate troublesome motor fluctuations, ≥1 h of troublesome dyskinesia/day, ≥2 h “off” symptoms/day, and ≥5-times oral levodopa doses/day; (ii) non-motor—mild dementia, and non-transitory troublesome hallucinations; (iii) functional impairment—repeated falls despite optimal treatment, and difficulty with activities of daily living. Patients with good levodopa response, good cognition, and <70 years of age were deemed as good candidates for all three device-aided therapies. Patients with troublesome dyskinesia were considered good candidates for both levodopa-carbidopa intestinal gel and Deep Brain Stimulation (DBS). PD patients with levodopa-resistant tremor were considered good candidates for DBS. Conclusion: Identifying patients progressing to APD and suitable for device-aided therapies will enable general neurologists to assess the need for referral to movement disorder specialists and improve the quality of care and patient outcomes.
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