Author Interviews, Education, Genetic Research, Nature / 13.05.2016
Polygenetic Score Linked To Educational Attainment
MedicalResearch.com Interview with:
[caption id="attachment_24316" align="alignleft" width="128"]
Dr-Daniel Benjamin[/caption]
Dr. Daniel J. Benjamin PhD
Associate Professor (Research), USC, 2015-present
Associate Professor (with tenure), Cornell, 2013-2015
Assistant Professor, Cornell University, 2007-2013
Research Associate, NBER, 2013-present
Faculty Research Fellow, NBER, 2009-2013
MedicalResearch.com: What is the background for this study?
Dr. Benjamin: Educational attainment is primarily determined by environmental factors, but decades of twin and family studies have found that genetic factors also play a role, accounting for at least 20% of variation in educational attainment across individuals. This finding implies that there are genetic variants associated statistically with more educational attainment (people who carry these variants will tend on average to complete more formal education) and genetic variants associated statistically with less educational attainment (people who carry these variants will tend on average to complete less formal education). But none of these genetic variants had been identified until our 2013 paper on educational attainment. That paper, which studied a sample of roughly 100,000 individuals, identified 3 genetic variants associated with educational attainment, each of which has a very small effect. In the current paper, we expanded our sample to roughly 300,000 individuals, with the goal of learning much more about the genetic factors correlated with educational attainment.
Dr-Daniel Benjamin[/caption]
Dr. Daniel J. Benjamin PhD
Associate Professor (Research), USC, 2015-present
Associate Professor (with tenure), Cornell, 2013-2015
Assistant Professor, Cornell University, 2007-2013
Research Associate, NBER, 2013-present
Faculty Research Fellow, NBER, 2009-2013
MedicalResearch.com: What is the background for this study?
Dr. Benjamin: Educational attainment is primarily determined by environmental factors, but decades of twin and family studies have found that genetic factors also play a role, accounting for at least 20% of variation in educational attainment across individuals. This finding implies that there are genetic variants associated statistically with more educational attainment (people who carry these variants will tend on average to complete more formal education) and genetic variants associated statistically with less educational attainment (people who carry these variants will tend on average to complete less formal education). But none of these genetic variants had been identified until our 2013 paper on educational attainment. That paper, which studied a sample of roughly 100,000 individuals, identified 3 genetic variants associated with educational attainment, each of which has a very small effect. In the current paper, we expanded our sample to roughly 300,000 individuals, with the goal of learning much more about the genetic factors correlated with educational attainment.
Paul Wilmes[/caption]
Prof. Dr. Paul Wilmes
Associate Professor
Head of the Eco-Systems Biology Research Group
Luxembourg Centre for Systems Biomedicine
University of Luxembourg
Luxembourg
MedicalResearch.com: What is the background for this intestinal model?
Dr. Wilmes: Changes in the human gastrointestinal microbiome are associated with several diseases. To infer causality, experiments in representative models are essential. Widely used animal models exhibit limitations. Therefore, we set out to develop the HuMiX model which allows co-culture of human and microbial cells under conditions representative of the gastrointestinal interface.
Dr. Natalia Trayanova[/caption]
Natalia Trayanova PhD, FHRS, FAHA
Murray B. Sachs Endowed Chair
Professor of Biomedical Engineering
Joint Appointment, Medicine
Johns Hopkins University
Institute for Computational Medicine
Johns Hopkins University
Baltimore, MD
MedicalResearch.com: What is the background for this study? What are the main findings?
Dr. Trayanova: The methodology for modeling cardiac electrical function has matured sufficiently that we can now create computational models of the electrical functioning of the entire heart. My research is focused on translating this methodology into the clinic. The goal is to create, if you will, "a virtual heart for every patient", that will enable the physician to play our scenarios that manifest the heart dysfunction in the given patient, and to enable physicians to make personalized decisions about patient treatment. The present paper is the first application of this overall vision.
The motivation for this particular paper was that determining which patients are at risk for sudden cardiac death represents a major unmet clinical need. Patients at risk receive life-saving implantable defibrillators (ICDs), but because of the low sensitivity and specificity of current approach (based on low ejection fraction), risk assessment is inaccurate. Thus, many patients receive ICDs without needing them, while others die of sudden cardiac death because they are not targeted for
Dr. Serena Nik Zainal[/caption]
Serena Nik-Zainal MD PhD
Wellcome Beit Fellow & Honorary Consultant in Clinical Genetics
CDF Group Leader
Wellcome Trust Sanger Institute
United Kingdom
MedicalResearch.com: What is the background for this study? What are the main findings?
Dr. Nik-Zainal: We have used the massive improvement in speed of "sequencing" (reading the human genetic material) in order to obtain comprehensive whole genome maps of 560 human breast cancer patients. This is the largest whole genome sequencing study of a single cancer type in the world. We wanted to forensically search these cancers, find all the important genes that drive breast cancer, find all the important mutation patterns that tell us something about why breast cells turn into cancer cells and then to pull it altogether for each patient. We wanted to be able to "profile" each cancer patient, to see if we could further our understanding of personal cancer genomes.
In all, we had 556 female and four male patients, and they were sought from all over the world – USA, Europe and Asia.











Dr. NaNa Keum[/caption]
Dr. Li Ding[/caption]
MedicalResearch.com Interview with:
Dr. Li Ding PhD
Director, Medical Genomics group
McDonnell Genome Institute
Department of Medicine
Washington University in St. Louis
St. Louis, Missouri
Medical Research: What is the background for this study? What are the main findings?
Dr. Li Ding: Next-generation sequencing technologies have provided unprecedented opportunities for building a comprehensive catalog of point mutations, simple insertion and deletion mutations (indels) and structural variants in human cancers. Although significant progress has been made for documenting these common events through studies from individual research labs and large consortiums, there has been little progress in the discovery of complex indels after the transition from Sanger sequencing to NGS technologies. It is well known in the scientific community that indel detection using short next generation sequencing reads is a challenging problem. Our study, for the first time, directly addresses complex indel detection that has been barely touched in the cancer field. More importantly, our analysis discovered 285 complex indels in cancer genes such as PIK3R1, GATA3, and TP53, revealing an unexpected high prevalence of these events in human cancers.
Dr. Elsa Suberbielle[/caption]
MedicalResearch.com Interview with:
Elsa Suberbielle, DVM, PhD
Research Scientist
Gladstone Institute of Neurological Diseases
San Francisco, CA 94158
Medical Research: What is the background for this study?
Dr. Suberbielle: BRCA1 is a key protein involved in DNA repair, and mutations that impair its function increase the risk for breast and ovarian cancer. Research into DNA repair mechanisms in dividing cells recently was recently rewarded by the Nobel Prize in Chemistry. In such cells, BRCA1 helps repair a type of DNA damage known as double-strand breaks that can occur when cells are injured. In neurons, though, such breaks can occur even under normal circumstances, for example, after increased brain activity, as shown by the team of Gladstone scientists in an
Prof. Paludan[/caption]
MedicalResearch.com Interview with:
Professor Søren Riis Paludan DMSc, PhD
Department of Biomedicine
Aarhus University
Denmark
Medical Research: What is the background for this study? What are the main findings?
Prof. Paluden: We were interested in understanding the first immune reactions that occur when an organism meets an infectious agent (virus or bacteria).
The main finding is that we have identified an immune reaction that is activated as the microbe disturbed the mucus layer at mucosal surfaces. This is an immune reaction occuring earlier than what has been thought previously, and may represent a mechanism that enables the organism to fight most microbes that we meet without mounting strong immune responses. This is important, since strong immune reactions - in addition to contributing to elimination of microbes - also have negative effects such as fever, etc.
Dr. Nahmias[/caption]
MedicalResearch.com Interview with:
Prof. Yaakov Nahmias PhD
Director of the Alexander Grass Center for Bioengineering
Hebrew University of Jerusalem
Medical Research: What is the background for this study?
Prof. Nahmias: The liver has a limitless capacity of the human liver to regenerate from even a massive loss of mass.
However, the intrinsic capacity of liver cells to proliferate is lost when cells are removed from the body.
Medical Research: What are the main findings?
Prof. Nahmias: We found that a weak expression of Human Papilloma Virus (HPV) proteins released hepatocytes from cell-cycle arrest and permitted the cells to multiply in response to Oncostatin M (OSM) an immune cytokine recently found to be involved in liver regeneration.
While previous efforts caused hepatocytes to multiply without control, converting hepatocytes into tumor cells with little metabolic ability, we selected colonies that only multiply in response to OSM.
Activation with OSM triggered cell growth with a doubling time of 40 hours. Removal of OSM caused growth to stop, allowing the cells to regain a high level of metabolic activity within 4 days.
We produced hepatocytes from ethnically diverse individuals. Importantly, the growing hepatocytes showed a similar toxicology response to normal human hepatocytes across 23 different drugs.
Dr. Newton[/caption]
MedicalResearch.com Interview with:
Paul K Newton PhD
Professor of Aerospace & Mechanical Engineering, Mathematics, and Norris Comprehensive Cancer Center
USC Viterbi
University of Southern California
University Park Campus
Los Angeles, CA 90089-4012
Medical Research: What is the background for this study? What are the main findings?
Dr. Newton: We obtained a longitudinal data set of 446 breast cancer patients from Memorial Sloan Kettering Cancer Center, tracked from 1975 to 2009.
All of the patients had primary breast cancer at the time they entered, with no metastatic tumors. All subsequently developed metastatic breast cancer.
From this time-resolved data set, we first developed what we called tree-ring diagrams showing the full spatiotemporal patterns of progression. We then used this information
to develop a Markov chain dynamical model of metastatic breast cancer. This is a model based on the concept that where the disease currently is located strongly influences where it will spread next.
The systemic nature of metastatic breast cancer is clearly shown in these kinds of network based models.
The main findings are that survival depends very strongly on where the first metastatic tumor develops. For example, if the first metastatic tumor appears in the bone, as happens in roughly 35% of the patients, survival is much better than if it appears in the brain (less than 5% of the patients). Furthermore, for those patients with a first met to the bone, survival is far better for those who develop their next met in the lung area, as compared with those that develop it in the liver.
Metastatic sites are categorized as `spreader’ sites, or `sponge’ sites. Bone and chest wall are generally the primary spreader sites of metastatic breast cancer, dynamically involved in spreading the disease throughout the metastatic process. On the other hand, liver seems to be a key sponge site, where circulating tumor cells most likely accumulate. If one were to focus on an active therapeutic program targeting metastatic sites, most likely the spreader sites would give the most bang-for-buck in terms of survival.




