scholarly journals High prevalence and genetic variation of Bartonella species inhabiting the bats in southwestern Yunnan

2021 ◽  
Vol 29 (9) ◽  
pp. 1245-1255
Author(s):  
Dongmei Li ◽  
Weihong Yang ◽  
Qingduo Li ◽  
Xi Han ◽  
Xiuping Song ◽  
...  
2017 ◽  
Author(s):  
Mateus Jose Abdalla Diniz ◽  
Andiara Calado Saloma Rodrigues ◽  
Ary Gadelha ◽  
Shaza Issam Alsabban ◽  
Camila Guindalini ◽  
...  

AbstractBoth common and rare genetic variation play a role in the causes for mood disorders. Very large families pose unique opportunities and analytical challenges but may provide a way to identify regions and mutations associated with mood disorders. We identified a family with a high prevalence (~30%) of mood disorders in a rural village in Brazil, featuring decreasing age of onset over generations. The pattern of inheritance was complex with 32 Bipolar type I cases, 11 Bipolar type II and 59 recurrent and/or severe Depression cases in addition to other phenotypes. We enrolled 333 participants with DNA samples from a broader pedigree of 960 subjects for genotyping using the Affymetrix 10K array. Non-parametric linkage was carried out via MERLIN and parametric with both MERLIN and MCLINKAGE. We exome sequenced a subset of the family (n=27) in order to identify rare variation within the linkage regions shared by affected family members. We identified four genome wide significant and four suggestive linkage regions on chromosomes 1, 2, 3, 11 and 12 for different phenotype definitions. However, no region received strong joint support in both the parametric and non-parametric analyses. Exome sequencing revealed potential deleterious variants in 11p15.4 for MDD and 1q21.1-1q21.3 and 12p23.1-p22.3, implicated in cell signaling, adhesion, translation and neurogenesis processes. Overall, our results suggest promising, but not definitive or confirmed evidence, that rare genetic variation contributes to the high prevalence of mood disorders in this multi-generational family. We note that a substantial role for common genetic variation is likely given the strength of the linkage signals observed.The World Health Organisation reports depression and bipolar disorder as the second and seventh most important causes of years lost due to disability worldwide[1]. The heritability of bipolar disorder is between 60-90% with a lower but still substantial heritability for major depression (40-45%) [2]; [3]. First-degree relatives of bipolar disorder probands have a 5-10 fold increase in risk of developing the illness compared to relatives of controls but also show a three fold increase in unipolar depression, indicating that bipolar disorder does not “breed true” [4]. Large collaborative genome-wide association studies (GWAS) have uncovered several common genetic variants of small effect [5]. Genomewide estimates of heritability suggest that up to 60% of the genetic risk is contributed by common variants [6]. Overall, the current picture for bipolar disorder (and almost all complex traits) is a genetic architecture formed of both common and rare variants.Linkage studies have been pursued on the basis that there may be variants of greater effect shared between and within affected families. However these studies have usually focused on collections of comparatively small families or sib pairs and few consistent findings have emerged [7]. Large multigenerational families (e. g. of >30 affected individuals) theoretically offer a powerful means for mapping complex disease loci that are individually rare but common in a single family. These loci may be more highly penetrant and of larger effect than loci found with GWAS [8]. Here we report the results of the Brazilian Bipolar Family (BBF) study on a five-generation family of 639 members of which 333 were enrolled in the current analyses. Our objectives were to perform a linkage analysis with genome coverage and try to identify new genes/mutations related to bipolar and other mood disorders in the family. Here we report our findings and preliminary results of sequencing of linkage regions.


1977 ◽  
Vol 42 (3) ◽  
pp. 436-439 ◽  
Author(s):  
David A. Daly

Fifty trainable mentally retarded children were evaluated with TONAR II, a bioelectronic instrument for detecting and quantitatively measuring voice parameters. Results indicated that one-half of the children tested were hypernasal. The strikingly high prevalence of excessive nasality was contrasted with results obtained from 64 nonretarded children and 50 educable retarded children tested with the same instrument. The study demonstrated the need of retarded persons for improved voice and resonance.


2017 ◽  
Vol 2 (3) ◽  
pp. 49-56
Author(s):  
Jana Childes ◽  
Alissa Acker ◽  
Dana Collins

Pediatric voice disorders are typically a low-incidence population in the average caseload of clinicians working within school and general clinic settings. This occurs despite evidence of a fairly high prevalence of childhood voice disorders and the multiple impacts the voice disorder may have on a child's social development, the perception of the child by others, and the child's academic success. There are multiple barriers that affect the identification of children with abnormal vocal qualities and their access to services. These include: the reliance on school personnel, the ability of parents and caretakers to identify abnormal vocal qualities and signs of misuse, the access to specialized medical services for appropriate diagnosis, and treatment planning and issues related to the Speech-Language Pathologists' perception of their skills and competence regarding voice management for pediatric populations. These barriers and possible solutions to them are discussed with perspectives from the school, clinic and university settings.


2001 ◽  
Vol 120 (5) ◽  
pp. A652-A653
Author(s):  
Y HIRATA ◽  
S MAEDA ◽  
Y MITUNO ◽  
M AKANUMA ◽  
T KAWABE ◽  
...  

2001 ◽  
Vol 120 (5) ◽  
pp. A393-A393
Author(s):  
M GABRIELLI ◽  
C PADALINO ◽  
E LEO ◽  
S DANESE ◽  
G FIORE ◽  
...  

2005 ◽  
Vol 173 (4S) ◽  
pp. 406-407
Author(s):  
Mario Mancini ◽  
Luca Carmignani ◽  
Giacomo Gazzano ◽  
Franco Gadda ◽  
Silvana Bosari ◽  
...  

2018 ◽  
Vol 24 ◽  
pp. 45-46
Author(s):  
Yicheng Bao ◽  
Jing Hughes ◽  
Maamoun Salam ◽  
Janet McGill

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