Exome sequencing reveals germline NPAT mutation as a candidate risk factor for Hodgkin lymphoma

Blood ◽  
2011 ◽  
Vol 118 (3) ◽  
pp. 493-498 ◽  
Author(s):  
Silva Saarinen ◽  
Mervi Aavikko ◽  
Kristiina Aittomäki ◽  
Virpi Launonen ◽  
Rainer Lehtonen ◽  
...  

Abstract A strong clustering of Hodgkin lymphoma in certain families has been long acknowledged. However, the genetic factors in the background of familial Hodgkin lymphoma are largely unknown. We have studied a family of 4 cousins with a rare subtype of the disease, nodular lymphocyte predominant Hodgkin lymphoma. We applied exome sequencing together with genome-wide linkage analysis to this family and identified a truncating germline mutation in nuclear protein, ataxia-telangiectasia locus (NPAT) gene, which segregated in the family. We also studied a large number of samples from other patients with Hodgkin lymphoma, and a germline variation leading to the deletion of serine 724 was found in several cases suggesting an elevated risk for the disease (odds ratio = 4.11; P = .018). NPAT is thus far the first gene implicated in nodular lymphocyte predominant Hodgkin lymphoma predisposition.

Author(s):  
Navnit S. Makaram ◽  
Stuart H. Ralston

Abstract Purpose of Review To provide an overview of the role of genes and loci that predispose to Paget’s disease of bone and related disorders. Recent Findings Studies over the past ten years have seen major advances in knowledge on the role of genetic factors in Paget’s disease of bone (PDB). Genome wide association studies have identified six loci that predispose to the disease whereas family based studies have identified a further eight genes that cause PDB. This brings the total number of genes and loci implicated in PDB to fourteen. Emerging evidence has shown that a number of these genes also predispose to multisystem proteinopathy syndromes where PDB is accompanied by neurodegeneration and myopathy due to the accumulation of abnormal protein aggregates, emphasising the importance of defects in autophagy in the pathogenesis of PDB. Summary Genetic factors play a key role in the pathogenesis of PDB and the studies in this area have identified several genes previously not suspected to play a role in bone metabolism. Genetic testing coupled to targeted therapeutic intervention is being explored as a way of halting disease progression and improving outcome before irreversible skeletal damage has occurred.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Nathaniel D. Anderson ◽  
Yael Babichev ◽  
Fabio Fuligni ◽  
Federico Comitani ◽  
Mehdi Layeghifard ◽  
...  

AbstractLeiomyosarcomas (LMS) are genetically heterogeneous tumors differentiating along smooth muscle lines. Currently, LMS treatment is not informed by molecular subtyping and is associated with highly variable survival. While disease site continues to dictate clinical management, the contribution of genetic factors to LMS subtype, origins, and timing are unknown. Here we analyze 70 genomes and 130 transcriptomes of LMS, including multiple tumor regions and paired metastases. Molecular profiling highlight the very early origins of LMS. We uncover three specific subtypes of LMS that likely develop from distinct lineages of smooth muscle cells. Of these, dedifferentiated LMS with high immune infiltration and tumors primarily of gynecological origin harbor genomic dystrophin deletions and/or loss of dystrophin expression, acquire the highest burden of genomic mutation, and are associated with worse survival. Homologous recombination defects lead to genome-wide mutational signatures, and a corresponding sensitivity to PARP trappers and other DNA damage response inhibitors, suggesting a promising therapeutic strategy for LMS. Finally, by phylogenetic reconstruction, we present evidence that clones seeding lethal metastases arise decades prior to LMS diagnosis.


Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Tai-Ming Ko ◽  
Tsong-Hai Lee Lee ◽  
Chien-Hsiun Chen ◽  
Yuan-Tsong Chen ◽  
Jer-Yuarn Wu

Introduction: Although family history studies in ischemic stroke support that genetic factors may be involved in the pathogenesis of two major subtypes of ischemia stroke: large-artery atherosclerosis (LAA) and small-vessel occlusion (SVO), it is still unclear which particular genetic factors contribute to LAA or SVO. Hypothesis: Because the etiology of ischemic stroke is heterogeneous, we hypothesize that genetic factors may vary by etiologic subtypes or ethnicities. Thus, we aim to identify genetic factors that contribute to LAA or SVO based on two independent Han Chinese populations. Methods: Novel genetic variants that predispose individuals to LAA and SVO were identified by genome-wide association study comprising of 824 individuals (including 444 LAA cases and 380 SVO cases) and 1,727 controls in a Han Chinese population residing in Taiwan. The LAA study was replicated in an independent Han Chinese population comprising of an additional 319 LAA cases and 1,802 controls. Results: In LAA cases, from two independent populations, we identified five single-nucleotide polymorphisms (SNPs), including SNP-1 (P = 3.10 х 10–8), SNP-2 (P = 4.00 х 10–9), SNP-3 (P = 3.57 х 10–8), SNP-4 (P = 1.76 х 10–8), and SNP-5 (P = 2.92 х 10–8), at one novel locus on chromosome 14q13.3 within PTCSC3 (encoding papillary thyroid carcinoma susceptibility candidate 3). In SVO cases, from the discovery stage, we identified two novel candidate susceptibility loci on chromosome 3p25.3 (SNP-6, P = 3.24 х 10–5) and chromosome 14 q31.1 (SNP-7, P = 2.58 х 10–4). Conclusions: For LAA, the newly identified SNPs within PTCSC3 gene were found to have genome-wide statistical significance (P < 5 х 10–8) and were shown to be located in a risk locus correlated with papillary thyroid carcinoma. Moreover, the genetic association between PTCSC3 gene and SVO was not identified, which suggested that PTCSC3 is a specific susceptibility locus for LAA. For SVO, we identified two novel candidate genetic loci which were valuable for replication by an independent population with SVO. In conclusion, our findings provide insights into the genetic basis of LAA and SVO, which may be applicable in the study of the pathogenesis of ischemic stroke and in the development of alternative therapeutic interventions.


2021 ◽  
Vol 23 ◽  
Author(s):  
Pei He ◽  
Rong- Rong Cao ◽  
Fei- Yan Deng ◽  
Shu- Feng Lei

Background: Immune and skeletal systems physiologically and pathologically interact with each other. The immune and skeletal diseases may share potential pleiotropic genetics factors, but the shared specific genes are largely unknown Objective: This study aimed to investigate the overlapping genetic factors between multiple diseases (including rheumatoid arthritis (RA), psoriasis, osteoporosis, osteoarthritis, sarcopenia and fracture) Methods: The canonical correlation analysis (metaCCA) approach was used to identify the shared genes for six diseases by integrating genome-wide association study (GWAS)-derived summary statistics. Versatile Gene-based Association Study (VEGAS2) method was further applied to refine and validate the putative pleiotropic genes identified by metaCCA. Results: About 157 (p<8.19E-6), 319 (p<3.90E-6) and 77 (p<9.72E-6) potential pleiotropic genes were identified shared by two immune disease, four skeletal diseases, and all of the six diseases, respectively. The top three significant putative pleiotropic genes shared by both immune and skeletal diseases, including HLA-B, TSBP1 and TSBP1-AS1 (p<E-300) were located in the major histocompatibility complex (MHC) region. Nineteen of 77 putative pleiotropic genes identified by metaCCA analysis were associated with at least one disease in the VEGAS2 analysis. Specifically, majority (18) of these 19 putative validated pleiotropic genes were associated with RA. Conclusion: The metaCCA method identified some pleiotropic genes shared by the immune and skeletal diseases. These findings help to improve our understanding of the shared genetic mechanisms and signaling pathways underlying immune and skeletal diseases.


Author(s):  
Priyanka Barman ◽  
Rwik Sen ◽  
Amala Kaja ◽  
Jannatul Ferdoush ◽  
Shalini Guha ◽  
...  

San1 ubiquitin ligase is involved in nuclear protein quality control via its interaction with intrinsically disordered proteins for ubiquitylation and proteasomal degradation. Since several transcription/chromatin regulatory factors contain intrinsically disordered domains and can be inhibitory to transcription when in excess, San1 might be involved in transcription regulation. To address this, we analyzed the role of San1 in genome-wide association of TBP [that nucleates pre-initiation complex (PIC) formation for transcription initiation] and RNA polymerase II (Pol II). Our results reveal the roles of San1 in regulating TBP recruitment to the promoters and Pol II association with the coding sequences, and hence PIC formation and coordination of elongating Pol II, respectively. Consistently, transcription is altered in the absence of San1. Such transcriptional alteration is associated with impaired ubiquitylation and proteasomal degradation of Spt16 and gene association of Paf1, but not the incorporation of centromeric histone, Cse4, into the active genes in Δsan1 . Collectively, our results demonstrate distinct functions of a nuclear protein quality control factor in regulating the genome-wide PIC formation and elongating Pol II (and hence transcription), thus unraveling new gene regulatory mechanisms.


PEDIATRICS ◽  
1964 ◽  
Vol 33 (1) ◽  
pp. 100-105
Author(s):  
Robert L. Tips ◽  
George Smith ◽  
Donald L. Meyer

1. The family histories of 30 patients with idiopathic developmental retardation were analyzed with respect to pregnancy records of nonaffected female kindred. Comparison was made with data from the family histories of 27 similarly ascertained control patients. 2. The mothers and maternal aunts of retardates were found to have abnormal pregnancy records, i.e., a markedly decreased reproductive rate and increased fetal loss (reproductive failure). Similar findings were not noted in the histories of the maternal grandmothers or other females in the families. 3. The comparison study suggests genetic factors as an influence on reproduction in the maternal families of retardates but their nature remains unknown. 4. The utilization of these findings in clinical genetic counseling is briefly discussed.


2017 ◽  
Vol 3 (5) ◽  
pp. e177 ◽  
Author(s):  
Javier Ruiz-Martínez ◽  
Luis J. Azcona ◽  
Alberto Bergareche ◽  
Jose F. Martí-Massó ◽  
Coro Paisán-Ruiz

Objective:Despite the enormous advancements made in deciphering the genetic architecture of Parkinson disease (PD), the majority of PD is idiopathic, with single gene mutations explaining only a small proportion of the cases.Methods:In this study, we clinically evaluated 2 unrelated Spanish families diagnosed with PD, in which known PD genes were previously excluded, and performed whole-exome sequencing analyses in affected individuals for disease gene identification.Results:Patients were diagnosed with typical PD without relevant distinctive symptoms. Two different novel mutations were identified in the CSMD1 gene. The CSMD1 gene, which encodes a complement control protein that is known to participate in the complement activation and inflammation in the developing CNS, was previously shown to be associated with the risk of PD in a genome-wide association study.Conclusions:We conclude that the CSMD1 mutations identified in this study might be responsible for the PD phenotype observed in our examined patients. This, along with previous reported studies, may suggest the complement pathway as an important therapeutic target for PD and other neurodegenerative diseases.


2012 ◽  
Vol 215 (1) ◽  
pp. 17-28 ◽  
Author(s):  
Georg Homuth ◽  
Alexander Teumer ◽  
Uwe Völker ◽  
Matthias Nauck

The metabolome, defined as the reflection of metabolic dynamics derived from parameters measured primarily in easily accessible body fluids such as serum, plasma, and urine, can be considered as the omics data pool that is closest to the phenotype because it integrates genetic influences as well as nongenetic factors. Metabolic traits can be related to genetic polymorphisms in genome-wide association studies, enabling the identification of underlying genetic factors, as well as to specific phenotypes, resulting in the identification of metabolome signatures primarily caused by nongenetic factors. Similarly, correlation of metabolome data with transcriptional or/and proteome profiles of blood cells also produces valuable data, by revealing associations between metabolic changes and mRNA and protein levels. In the last years, the progress in correlating genetic variation and metabolome profiles was most impressive. This review will therefore try to summarize the most important of these studies and give an outlook on future developments.


Blood ◽  
2019 ◽  
Vol 133 (10) ◽  
pp. 1130-1139 ◽  
Author(s):  
Annemieke W. J. Opstal-van Winden ◽  
Hugoline G. de Haan ◽  
Michael Hauptmann ◽  
Marjanka K. Schmidt ◽  
Annegien Broeks ◽  
...  

Abstract Female Hodgkin lymphoma (HL) patients treated with chest radiotherapy (RT) have a very high risk of breast cancer. The contribution of genetic factors to this risk is unclear. We therefore examined 211 155 germline single-nucleotide polymorphisms (SNPs) for gene-radiation interaction on breast cancer risk in a case-only analysis including 327 breast cancer patients after chest RT for HL and 4671 first primary breast cancer patients. Nine SNPs showed statistically significant interaction with RT on breast cancer risk (false discovery rate, &lt;20%), of which 1 SNP in the PVT1 oncogene attained the Bonferroni threshold for statistical significance. A polygenic risk score (PRS) composed of these SNPs (RT-interaction-PRS) and a previously published breast cancer PRS (BC-PRS) derived in the general population were evaluated in a case-control analysis comprising the 327 chest-irradiated HL patients with breast cancer and 491 chest-irradiated HL patients without breast cancer. Patients in the highest tertile of the RT-interaction-PRS had a 1.6-fold higher breast cancer risk than those in the lowest tertile. Remarkably, we observed a fourfold increased RT-induced breast cancer risk in the highest compared with the lowest decile of the BC-PRS. On a continuous scale, breast cancer risk increased 1.4-fold per standard deviation of the BC-PRS, similar to the effect size found in the general population. This study demonstrates that genetic factors influence breast cancer risk after chest RT for HL. Given the high absolute breast cancer risk in radiation-exposed women, these results can have important implications for the management of current HL survivors and future patients.


Sign in / Sign up

Export Citation Format

Share Document