scholarly journals Parametric Linkage Analysis Identifies Five Novel Genome-Wide Significant Loci for Familial Lung Cancer

2016 ◽  
Vol 82 (1-2) ◽  
pp. 64-74 ◽  
Author(s):  
Anthony M. Musolf ◽  
Claire L. Simpson ◽  
Mariza de Andrade ◽  
Diptasri Mandal ◽  
Colette Gaba ◽  
...  
2020 ◽  
Vol 63 (12) ◽  
pp. 4046-4061
Author(s):  
Erin M. Andres ◽  
Kathleen Kelsey Earnest ◽  
Shelley D. Smith ◽  
Mabel L. Rice ◽  
Muhammad Hashim Raza

Purpose Specific language impairment (SLI) is characterized by a delay in language acquisition despite a lack of other developmental delays or hearing loss. Genetics of SLI is poorly understood. The purpose of this study is to identify SLI genetic loci through family-based linkage mapping. Method We performed genome-wide parametric linkage analysis in six families segregating with SLI. An age-appropriate standardized omnibus language measure was used to categorically define the SLI phenotype. Results A suggestive linkage region replicated a previous region of interest with the highest logarithm of odds (LOD) score of 2.40 at 14q11.2-q13.3 in Family 489. A paternal parent-of-origin effect associated with SLI and language phenotypes on a nonsynonymous single nucleotide polymorphism (SNP) in NOP9 (14q12) was reported previously. Linkage analysis identified a new SLI locus at 15q24.3-25.3 with the highest parametric LOD score of 3.06 in Family 315 under a recessive mode of inheritance. Suggestive evidence of linkage was also revealed at 4q31.23-q35.2 in Family 300, with the highest LOD score of 2.41. Genetic linkage was not identified in the other three families included in parametric linkage analysis. Conclusions These results are the first to report genome-wide suggestive linkage with a total language standard score on an age-appropriate omnibus language measure across a wide age range. Our findings confirm previous reports of a language-associated locus on chromosome 14q, report new SLI loci, and validate the pedigree-based parametric linkage analysis approach to mapping genes for SLI. Supplemental Material https://doi.org/10.23641/asha.13203218


Hypertension ◽  
2003 ◽  
Vol 42 (3) ◽  
pp. 322-328 ◽  
Author(s):  
Nicola J. Camp ◽  
Paul N. Hopkins ◽  
Sandra J. Hasstedt ◽  
Hilary Coon ◽  
Alka Malhotra ◽  
...  

2017 ◽  
Vol 43 (4) ◽  
pp. 483 ◽  
Author(s):  
Kai LIU ◽  
Zhi-Ying DENG ◽  
Ying ZHANG ◽  
Fang-Fang WANG ◽  
Tong-Tong LIU ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Athea Vichas ◽  
Amanda K. Riley ◽  
Naomi T. Nkinsi ◽  
Shriya Kamlapurkar ◽  
Phoebe C. R. Parrish ◽  
...  

AbstractCRISPR-based cancer dependency maps are accelerating advances in cancer precision medicine, but adequate functional maps are limited to the most common oncogenes. To identify opportunities for therapeutic intervention in other rarer subsets of cancer, we investigate the oncogene-specific dependencies conferred by the lung cancer oncogene, RIT1. Here, genome-wide CRISPR screening in KRAS, EGFR, and RIT1-mutant isogenic lung cancer cells identifies shared and unique vulnerabilities of each oncogene. Combining this genetic data with small-molecule sensitivity profiling, we identify a unique vulnerability of RIT1-mutant cells to loss of spindle assembly checkpoint regulators. Oncogenic RIT1M90I weakens the spindle assembly checkpoint and perturbs mitotic timing, resulting in sensitivity to Aurora A inhibition. In addition, we observe synergy between mutant RIT1 and activation of YAP1 in multiple models and frequent nuclear overexpression of YAP1 in human primary RIT1-mutant lung tumors. These results provide a genome-wide atlas of oncogenic RIT1 functional interactions and identify components of the RAS pathway, spindle assembly checkpoint, and Hippo/YAP1 network as candidate therapeutic targets in RIT1-mutant lung cancer.


2019 ◽  
Vol 15 ◽  
pp. P919-P920
Author(s):  
James Jaworski ◽  
Brian W. Kunkle ◽  
Farid Rajabli ◽  
Larry D. Adams ◽  
Takiyah D. Starks ◽  
...  

2005 ◽  
Vol 181 (2) ◽  
pp. 389-397 ◽  
Author(s):  
Adebowale A. Adeyemo ◽  
Thomas Johnson ◽  
Joseph Acheampong ◽  
Johnnie Oli ◽  
Godfrey Okafor ◽  
...  

2009 ◽  
Vol 24 (8) ◽  
pp. 2414-2420 ◽  
Author(s):  
A. D. Rule ◽  
B. L. Fridley ◽  
S. C. Hunt ◽  
Y. Asmann ◽  
E. Boerwinkle ◽  
...  

Diabetes ◽  
2001 ◽  
Vol 50 (12) ◽  
pp. 2850-2857 ◽  
Author(s):  
R. S. Lindsay ◽  
S. Kobes ◽  
W. C. Knowler ◽  
P. H. Bennett ◽  
R. L. Hanson

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