Oct 2019: Group trainees Fang Chen and Xingyan Wang (on behalf of Yu Jiang) presented platform talks, and Dan McGuire presented reviews’ choice poster at ASHG in Houston.
Oct 2019, Graduate students Renan Sauteraud, Dylan Weissenkampen and Dan McGuire got Graduate Student Travel Award from Penn State College of Medicine.
Sept 2019: Ph.D. students Renan Sauteraud and Dan McGuire (along with Vishal Mydia) won 3rd place in Kaggle Big Data Competition. Penn State News Coverage is here (link)
June 2019: Congratulations to Xingyan for passing the candidacy exam with flying colors!
May 2019: Dajiang was named the Outstanding Champion of Diversity in Research from the Penn State College of Medicine.
Apr 2019: Dajiang was interviewed by Grace Griffaton at local Fox43 TV news on our work for the genetics of addiction. Full TV news is here: link. Dajiang also appeared on ABC27 evening news to talk about the research.
Mar 2019: Dajiang received the Outstanding Mentor Award from the Penn State College of Medicine!
Mar 2019: Our review paper on sequence-based association and fine mapping analysis was published (link)
Jan 2019: Our paper on the GWAS for smoking/drinking addiction is out at Nature Genetics. It represents a major focus for the lab. We identified >400 loci associated with smoking/drinking addictions, which provided a comprehensive catalog of potential causal genes for follow-up studies. Graduate student Yu Jiang is a co-first author, and Dajiang is a co-corresponding author. Additional participants in the lab include Fang Chen and Dan McGuire. Study is led by Scott Vrieze from University of Minnesota, with great contributions from GSCAN investigators.
Jan 2019: Our paper that combines the exome chip data from three consortia is out on Molecular Psychiatry (link). We identified 40 novel loci with coding variants for smoking addiction phenotypes. Dajiang is a corresponding author. Lab trainees Yu Jiang and Fang Chen participated. Great collaboration with Scott Vrieze, Martin Tobin and Joanna Howson’s group.
Dec 2018: Our manuscript for GSCAN exome chip meta-analysis was published in Biological Psychiatry (link). We fine mapped causal variants and elucidated genetic architecture for smoking and drinking phenotypes. Dajiang is a co-corresponding author, and lab trainee Yu Jiang and Jordan Hughey are joint first authors.
Nov 2018: Lab trainee Jordan Hughey received Alfred P. Sloan Minority Graduate Fellowship. Kudos Jordan! (Press release from Huck Institute)
Nov 2018: Lab trainee Jordan Hughey gave presentations at Science Slam for Milton Hershey School students, and won the “most interesting talk” award.
Oct 2018: Lab trainees Yu Jiang and Dan McGuire presented research on fine mapping and biobank data analysis as platform talks at ASHG. Renan Sauteraud presented XCI and got reviewer’s choice poster.
July 2018: Kudos to Yu, Renan and Dan for passing their comprehensive exams!
July 2018: Our paper on proper conditional analysis is published in PLOS Genetics. Congratulations to Yu, Dan and Fang, as well as all of our collaborators on this project!
May 2018: Dajiang got promoted to Associate Professor, effective July 1st, 2018
Apr 2018: Thesis student Jordan Hughey was awarded the NSF Graduate Research Fellowship! The Penn State News featured Jordan’s award (link).
Nov 2017, Dajiang was featured in the Rice Engineering School Alumni Spotlight. Very honored!
Oct 2017, two large scale meta-analyses with the Global Lipids Genetics Consortium were published in Nature Genetics, i.e. GLGC paper, and Asian Lipids paper . Dajiang is the first author on the GLGC paper.
Sept 2016, Dajiang visited the Vanderbilt Genetics Institute and gave a seminar talk on efficient methods for biobank scale data analysis.
July 2016: Paper on the genetics of platelet related traits published on AJHG. This is a collaboration with the Global Lipids Genetics Consortium.
Summer 2016: Dajiang visited a number of universities including Shanghai Jiaotong Univ. Shanghai Finance and Economics Univ. and Sun Yat-Sen Univ., and gave a series of talks on lab research.
May 2016: We got an NIH R01 award to develop meta-analysis methods for sequence-based association studies. Dajiang is the PI. We will collaborate with colleagues in CU Boulder and UTSW in this project.
May 2016 Dajiang won the Penn State College of Medicine Distinguished Early Stage Investigator Award.
Apr 2016: First year research student Yu Jiang was awarded a scholarship to attend the Summer Institute of Statistical Genetics at the University of Washington, Seattle.
Feb 2016: Paper “RVTESTS: An Efficient and Comprehensive Tool for Rare Variant Association Analysis Using Sequence Data” accepted for publication in Bioinformatics. Dajiang is a corresponding author. This is in collaboration with colleagues at the University of Texas Southwestern Medical Center, the University of Michigan, Vanderbilt University and A9.com.
Jan 2016: Paper “Rare Variant in Scavenger Receptor BI Raises HDL Cholesterol and Increases Risk of Coronary Heart Disease” accepted for publication in Science. Dajiang is a co-author. This is a collaboration with the Global Lipids Genetics Consortium and the Rader Lab in UPenn.
Oct 2015: Dajiang moderated a statistical genetics session of platform talks at the American Society of Human Genetics annual meeting at Baltimore, MD.
Sept 2015: Our R21 to study the genetic basis of nicotine addiction is awarded by NIDA. Dajiang is the PI. We will be collaborating with colleagues at the Penn State TCORS, University of Nevada, University of Colorado at Boulder and University of Texas Southwestern Medical Center to resolve the genetic mystery of nicotine addiction.
July 2015: Our manuscript for SEQMINER was published in Genetic Epidemiology. Dajiang is a co-corresponding author. This is joint work with Dr. Xiaowei Zhan at UTSW.
July 2015: Dajiang gave a talk at the University of Texas Southwestern Medical Center
May 2015: GSCAN grant was scored 20 and 3% and funded by NIDA. Dajiang is the site PI at Penn State. We will be collaborating with colleagues at CU Boulder, and worldwide to study the genetics of smoking and drinking addiction using a meta-analysis approach.