American Society of Human Genetics (ASHG) 2017 in Orlando, FL

I love ASHG, but I have to admit that when I noticed that the 2017 meeting was in Orlando, I kinda groaned.  I think a lot of geneticists groaned, especially since the 2016 meeting was in the oh-so-cool Vancouver, Canada.  Aside from those totally excited about Harry Potter World at Universal Studios, the rest of […]

2017 CWRU SOM Faculty Diversity Award

Promotions, tenure, and awards are a big deal, and they should be celebrated as the big deal that the are. CWRU School of Medicine (SOM) totally gets that. Each year, the SOM hosts a gathering to celebrate those who have reached an academic milestone (Figures 1 and 2). In the same gathering, the SOM awards […]

A Spotlight on Diversity in Precision Medicine Research and Call for Manuscripts

The consensus is clear:  there is a need for diversity in precision medicine research.  Most of the current dialogue on diversity centers on study populations.  Genome-wide association studies (GWAS), which began in earnest in 2007 with publication of the landmark Wellcome Trust Case Control Consortium study of seven common diseases (PMIC2719288) and a trio of […]

2017 Translational Bioinformatics Conference, Long Beach, CA

The Translational Bioinformatics Conference (TBC) was established in 2011 as a partnership between Asian and US  investigators with the goal of bringing together scientists with the diverse expertise that contribute to the new and growing field of translational bioinformatics.  The first conference, led by Dr. Ju Han Kim, Professor and Chair of the Division of […]

SES Text Mining Algorithms for Electronic Health Records

From the Crawford Lab: We have developed a set of text-mining algorithms to extract education and occupation, both important variables that describe socioeconomic status (SES), from electronic health records.  The development and evaluation of the algorithm is described in PMC5147499, and the exclusion, jobs, and prefix lists developed for this algorithm can be found here.  Detailed […]

A 2017 Summer Update in October

The leaves are falling and there’s a crispness to the morning air.  I suppose that means it’s time for a Crawford lab summer update! After looking back at my summer calendar, I am left wondering what I did.  To be sure, it was filled with regular stuff.  You know, grants, papers, and the occasional study […]

Reducing Clinical Noise for Body Mass Index Measures Due to Unit and Transcription Errors in the Electronic Health Record.

Body mass index (BMI) is an important outcome and covariate adjustment for many clinical association studies. Accurate assessment of BMI, therefore, is a critical part of many study designs. Electronic health records (EHRs) are a growing source of clinical data for research purposes, and have proven useful for identifying and replicating genetic associations. EHR-based data […]

AMIA Joint Summits on Translational Science (2017)

2017 AMIA Joint Summits on Translational Science meeting

Dr. Dana Crawford presented both "Reducing clinical noise for body mass index measures due to unit and transcription errors in the electronic health record" and "Extracting country-of-origin from electronic health records for gene-environment studies as part of the Epidemiologic Architecture for Genes Linked to Environment (EAGLE)" at the 2017 AMIA Joint Summits on Translational Science meeting San Francisco, CA.

AMIA Joint Summits talk on body mass index in the EHR (2017)

AMIA Joint Summits talk on country-of-origin in the EHR (2017)

A Belated Spring 2017 Update

As I stare at my calendar, I am realizing that classes start in two and a half weeks.  Geez, where did the summer go?  Wait—what happened to spring??? Well, technically I did post about the 2017 Pacific Symposium on Biocomputing (PSB) and the 2017 Joint Summits on Translational Science before 2018 rolled around, so I […]

Hi-MC: High-throughput Mitochondrial Haplogroup Classification

From the Crawford Lab: The Hi-MC package provides high-level mitochondrial haplogroups given standard PLINK .map and.ped files.  Hi-MC is a cost-effective approach to characterize major haplogroups in large sample sizes similar to those described in PMC4113317.  Detailed usage of the package can be found on the github, the preprint, and the final publication in PeerJ.

COCOS: Codon Consequence Scanner

From the Bush Lab and Haines Lab, Mariusz Butkiewicz has developed COCOS, a plugin for the Ensembl Variant Effect Predictor (VEP) plugin for annotating reading frame changes. The plugin captures Amino Acid sequence alterations stemming from variants that produce an altered reading frame, e.g. stop-lost variants and small genetic Insertion and Deletions (InDels).  The GitHub repository for COCOS can be found here.

Interaction eQTL Analysis

From the Bush Lab: This archive contains scripts and data for performing an analysis looking for cis-interacting variants that influence gene expression.  Our publication can be found here: http://www.cell.com/ajhg/fulltext/S0002-9297(16)30323-8 Analysis workflow Tarball archive of analysis scripts Tarball archive of data files