scholarly journals Statistical Testing of Shared Genetic Control for Potentially Related Traits

2013 ◽  
Vol 37 (8) ◽  
pp. 802-813 ◽  
Author(s):  
Chris Wallace
Keyword(s):  
Genetic Control ◽  
Statistical Testing ◽  
Shared Genetic

scholarly journals Associated dental anomalies: case report

2005 ◽  
Vol 13 (4) ◽  
pp. 431-436 ◽  
Author(s):  
Daniela Gamba Garib ◽  
Nildiceli Leite Melo Zanella ◽  
Sheldon Peck
Keyword(s):  
Case Report ◽  
Early Diagnosis ◽  
Genetic Control ◽  
Treatment Planning ◽  
Interesting Case ◽  
Clinical Implications ◽  
Dental Anomalies ◽  
Dental Abnormalities ◽  
Developmental Disturbances ◽  
Shared Genetic

Certain human dental anomalies frequently occur together, supporting the accumulated evidence of the shared genetic control of dental developmental disturbances. The present study reports a rare and interesting case of a 12-year-old girl with an association of multiple dental abnormalities, including agenesis, tooth malposition and delayed development. The etiology and treatment planning are discussed with reference to the literature. The clinical implications of genetically controlled patterns of dental anomalies are important in the establishment of early diagnosis and appropriate orthodontic intervention.

Genetic and environmental influences on psychological distress in the population: General Health Questionnaire analyses in UK twins

2003 ◽  
Vol 33 (5) ◽  
pp. 793-801 ◽  
Author(s):  
F. V. RIJSDIJK ◽  
H. SNIEDER ◽  
J. ORMEL ◽  
P. SHAM ◽  
D. P. GOLDBERG ◽  
...  
Keyword(s):  
Genetic Control ◽  
General Health ◽  
Genetic Factors ◽  
General Health Questionnaire ◽  
Model Fitting ◽  
Regression Method ◽  
Health Questionnaire ◽  
Twin Data ◽  
Score Distribution ◽  
Shared Genetic

Background. The General Health Questionnaire (GHQ) is the most popular screening instrument for detecting psychiatric disorders in community samples. Using longitudinal data of a large sample of UK twin pairs, we explored (i) heritabilities of the four scales and the total score; (ii) the genetic stability over time; and (iii) the existence of differential heritable influences at the high (ill) and low (healthy) tail of the distribution.Method. At baseline we assessed the GHQ in 627 MZ and 1323 DZ female pairs and at a second occasion (3·5 years later) for a small subsample (90 MZ and 270 DZ pairs). Liability threshold models and raw ordinal maximum likelihood were used to estimate twin correlations and to fit longitudinal genetic models. We estimated extreme group heritabilities of the GHQ distribution by using a model-fitting implementation of the DeFries–Fulker regression method for selected twin data.Results. Heritabilities for Somatic Symptoms, Anxiety, Social Dysfunction, Depression and total score were 0·37, 0·40, 0·20, 0·42 and 0·44, respectively. The contribution of shared genetic factors to the correlations between time points is substantial for the total score (73%). Group heritabilities of 0·48 and 0·43 were estimated for the top and bottom 10% of the total GHQ score distribution, respectively.Conclusion. The overall heritability of the GHQ as a measure of psychosocial distress was substantial (44%), with all scales having significant additive genetic influences that persisted across time periods. Extreme group analyses suggest that the genetic control of resilience is as important as the genetic control of vulnerability.

scholarly journals Shared Genetic Control of Brain Activity During Sleep and Insulin Secretion: A Laboratory-Based Family Study

Diabetes ◽  
2017 ◽  
Vol 67 (1) ◽  
pp. 155-164
Author(s):  
Lisa L. Morselli ◽  
Eric R. Gamazon ◽  
Esra Tasali ◽  
Nancy J. Cox ◽  
Eve Van Cauter ◽  
...  
Keyword(s):  
Insulin Secretion ◽  
Genetic Control ◽  
Family Study ◽  
Brain Activity ◽  
Shared Genetic

scholarly journals Multivariate analysis of the cotton seed ionome reveals a shared genetic architecture

2017 ◽  
Author(s):  
Duke Pauli ◽  
Greg Ziegler ◽  
Min Ren ◽  
Matthew A. Jenks ◽  
Douglas J. Hunsaker ◽  
...  
Keyword(s):  
Qtl Mapping ◽  
Genetic Control ◽  
Environmental Conditions ◽  
Cotton Seed ◽  
Genetic Architecture ◽  
Physiological Responses ◽  
Arid Environment ◽  
Machine Learning Algorithms ◽  
Physiological Status ◽  
Shared Genetic

ABSTRACTTo mitigate the effects of heat and drought stress, a better understanding of the genetic control of physiological responses to these environmental conditions is needed. To this end, we evaluated an upland cotton (Gossypium hirsutum L.) mapping population under water-limited and well-watered conditions in a hot, arid environment. The elemental concentrations (ionome) of seed samples from the population were profiled in addition to those of soil samples taken from throughout the field site to better model environmental variation. The elements profiled in seeds exhibited moderate to high heritabilities, as well as strong phenotypic and genotypic correlations between elements that were not altered by the imposed irrigation regimes. Quantitative trait loci (QTL) mapping results from a Bayesian classification method identified multiple genomic regions where QTL for individual elements colocalized, suggesting that genetic control of the ionome is highly interrelated. To more fully explore this genetic architecture, multivariate QTL mapping was implemented among groups of biochemically related elements. This analysis revealed both additional and pleiotropic QTL responsible for coordinated control of phenotypic variation for elemental accumulation. Machine learning algorithms that utilized only ionomic data predicted the irrigation regime under which genotypes were evaluated with very high accuracy. Taken together, these results demonstrate the extent to which the seed ionome is genetically interrelated and predictive of plant physiological responses to adverse environmental conditions.One sentence summaryThe cotton seed ionome has a shared genetic basis that provides insight into the physiological status of the plant.

scholarly journals Shared genetic control of expression and methylation in peripheral blood

BMC Genomics ◽  
2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Konstantin Shakhbazov ◽  
Joseph E. Powell ◽  
Gibran Hemani ◽  
Anjali K. Henders ◽  
Nicholas G. Martin ◽  
...  
Keyword(s):  
Genetic Control ◽  
Peripheral Blood ◽  
Control Of Expression ◽  
Shared Genetic

scholarly journals Shared Genetic Control of Root System Architecture between Zea mays and Sorghum bicolor

2019 ◽  
Vol 182 (2) ◽  
pp. 977-991 ◽  
Author(s):  
Zihao Zheng ◽  
Stefan Hey ◽  
Talukder Jubery ◽  
Huyu Liu ◽  
Yu Yang ◽  
...  
Keyword(s):  
Zea Mays ◽  
Sorghum Bicolor ◽  
Root System ◽  
Genetic Control ◽  
System Architecture ◽  
Root System Architecture ◽  
Shared Genetic

Hubungan Religiusitas dengan Citra Tubuh pada Wanita Dewasa Awal

2018 ◽  
Vol 1 (1) ◽  
pp. 9-28
Author(s):  
Dessy Sumanty ◽  
Deden Sudirman ◽  
Diah Puspasari
Keyword(s):  
Body Image ◽  
Correlation Coefficient ◽  
Research Design ◽  
Calculation Result ◽  
The Body ◽  
Statistical Testing ◽  
P Value ◽  
Significance Level ◽  
Correlational Research

This research attempts to relate the body image phenomenon with the level of subject religiosity. This research used correlational research design that was involving 332 respondents. The statistical testing which is used to test the hypothesis Rank Spearman. The calculation result with the significance level of trust 95% (a = 0.05) show that the correlation coefficient is 0.083 and p-value is 0.129. It means that Ho is accepted and H1 is rejected. It can be concluded that there is no relationship between religiosity with body image.

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