MyGeneRank (@mygenerank) 's Twitter Profile
MyGeneRank

@mygenerank

A research study App that allows you to gain more insight into your genetic risk profile using your 23andMe data

ID: 821426032779534336

linkhttps://mygenerank.scripps.edu/ calendar_today17-01-2017 18:36:42

119 Tweet

327 Followers

23 Following

Cecile Janssens (@cecilejanssens) 's Twitter Profile Photo

Why it is so hard to predict complex diseases and traits from DNA? Here is a collection of my go-to slides, a short story about the predictive ability of polygenic risk scores (PRS).

Why it is so hard to predict complex diseases and traits from DNA? Here is a collection of my go-to slides, a short story about the predictive ability of polygenic risk scores (PRS).
MyGeneRank (@mygenerank) 's Twitter Profile Photo

Association of habitual glucosamine use with risk of cardiovascular disease: prospective study in UK Biobank bmj.com/content/365/bm…

MyGeneRank (@mygenerank) 's Twitter Profile Photo

How Should Patients and Providers Interpret the US Food and Drug Administration’s Regulatory Language for Direct-to-Consumer Genetic Tests? | Journal of Clinical Oncology ascopubs.org/doi/full/10.12…

Eric Topol (@erictopol) 's Twitter Profile Photo

"We show that polygenic risk scores have substantial potential for risk stratification for relatively common cancers such as breast, prostate and colon." biorxiv.org/content/10.110… Analysis of common genomic variants for 14 types of #cancer, by Yan Zhang Johns Hopkins Bloomberg School of Public Health et al

"We show that polygenic risk scores have substantial
potential for risk stratification for relatively common cancers such as breast, prostate and colon." biorxiv.org/content/10.110… Analysis of common genomic variants for 14 types of #cancer,
by Yan Zhang <a href="/JohnsHopkinsSPH/">Johns Hopkins Bloomberg School of Public Health</a> et al
Eric Topol (@erictopol) 's Twitter Profile Photo

Johns Hopkins Bloomberg School of Public Health Impressive paper on genomics of common medical conditions: "For most complex traits, the genes & loci with the most critical biological effects often differ from those with the strongest common-variant associations" cell.com/ajhg/fulltext/… AJHG by Luke O'Connor & colleagues

<a href="/JohnsHopkinsSPH/">Johns Hopkins Bloomberg School of Public Health</a> Impressive paper on genomics of common medical conditions:
"For most complex traits, the genes &amp; loci with
the most critical biological effects often differ from those with the strongest common-variant associations"
cell.com/ajhg/fulltext/… <a href="/AJHGNews/">AJHG</a> by <a href="/Luke0connor/">Luke O'Connor</a> &amp; colleagues
Professor M Z Khalil (@mzkhalil) 's Twitter Profile Photo

#AI identifies genes linked to heart failure eurekalert.org/e/9h45 ahajournals.org/doi/10.1161/CI… "The genetic risk scores established from this study could be tested in future studies to create an integrated and personalised risk assessment tool for heart failure."

MyGeneRank (@mygenerank) 's Twitter Profile Photo

Yesterday was #WorldHeartDay so it’s just as good a time as any to find out your genetic risk for heart disease using the MyGeneRank app #heartdisease #genetictesting #polygenicriskscore

MyGeneRank (@mygenerank) 's Twitter Profile Photo

New updates to the app brings the following to Android and iOS: - Updated polygenic risk score - Improved UI / UX - Spanish language option - Added option for genetic counseling

Ali Torkamani (@atorkamani) 's Twitter Profile Photo

Nice highlight of our MyGeneRank collaboration with @myDNAfeed to bring genetic counseling to polygenic risk prediction. This is the model to scale reactive genetic testing to proactive population screening. genomeweb.com/informatics/dn…

Eric Topol (@erictopol) 's Twitter Profile Photo

It's not just the loss of lives. It's the average 10-11 years that each of those dying have lost. "The study shows ... people killed by #COVID19 had only slightly higher rates of underlying illness than everyone else their age." economist.com/graphic-detail… The Economist Data Team

It's not just the loss of lives. It's the average 10-11 years that each of those dying have lost.
"The study shows ... people killed by #COVID19 had only slightly higher rates of underlying illness than everyone else their age."
economist.com/graphic-detail… <a href="/ECONdailycharts/">The Economist Data Team</a>
Eric Topol (@erictopol) 's Twitter Profile Photo

On the day that the United States reached the 100,000 death toll by CSSE at JHU: All in < 90 days. (February 28th was the 1st) The country stands alone in the world —not just on this graph of loss of American lives—but also as the only country with no plan.

On the day that the United States reached the 100,000 death toll by <a href="/JHUSystems/">CSSE at JHU</a>: 
All in &lt; 90 days. (February 28th was the 1st)
The country stands alone in the world —not just on this graph of loss of American lives—but also as the only country with no plan.
Amit V. Khera (@amitvkhera) 's Twitter Profile Photo

Many assume all patients with high-risk DNA mutations — such as familial hyperchol mutations for heart attack — will develop disease But some remain healthy ‘Polygenic background’ one important reason why Press release: bit.ly/2EkAqDI Paper: go.nature.com/3hePocV

Many assume all patients with high-risk DNA mutations — such as familial hyperchol mutations for heart attack  — will develop disease

But some remain healthy

‘Polygenic background’ one important reason why

Press release: bit.ly/2EkAqDI
Paper: go.nature.com/3hePocV