Margaux F Keller

color is first

[Michael Barton @bioinformatics]

R vs Python: head to head data analysis https://t.co/7wFXCkl2hs

[Margaux F Keller @margauxkeller]

A little dramatic, Boston.

[Tom Vander Ark @tvanderark]

Talking #Math: 100 Questions That Help Promote Mathematical Discourse http://t.co/rYdUtyV2QV @getting_smart @CurriculumAssoc

[Ed Yong is not here @edyong209]

Me on a poor but hyped study on gay epigenetics http://t.co/t90V7Y1NtE and Gelman's follow-up on the dodgy stats http://t.co/s6JSxTSVXU

[Margaux F Keller @margauxkeller]

Heckerman: Uganda vs Iceland! 3/6 phenos stat sig dif. Need to check method, reproduce results in more cohorts, more phenotypes. #ASHG15

[Margaux F Keller @margauxkeller]

Heckerman: 34 continuous phenotypes in #ugandian cohort. Uncorrected estimates always higher than corrected, 15 stat significantly. #ASHG15

[Margaux F Keller @margauxkeller]

Heckerman: Use spatial location as proxy for environmental effect with #REML. #opensource software on #github: #FaST-LMM #ASHG15

[Margaux F Keller @margauxkeller]

Heckerman: LMMs for narrow sense heritability see inflated estimates when environment not explicitly accounted for. #ASHG15

[Monarch Initiative @MonarchInit]

how do you know if your phenotypes are descriptive enough? use our sufficiency service http://t.co/ZZ9Kl1tk5P #ASHG15

[Margaux F Keller @margauxkeller]

FS: #23andMe's #PheWAS for #IL13 associated the related phenotypes allergy and asthma, supports plauisble shared pathway. #ASHG15

[Margaux F Keller @margauxkeller]

FS: how can these data/results guide drug discovery? #PheWAS one way: looking at phenotypes across druggable gene(s) of interest. #ASHG15

[Margaux F Keller @margauxkeller]

FS: #23andMe has over 1 million genomes, 80%+ customers opt-in for research. 1000+ phenotypes. They're running those #GWAS, y'all. #ASHG15

[Margaux F Keller @margauxkeller]

Palamara: inferring mutation rate in unrelateds via age of IBD segments, #tMRCA regression. #ASHG15

[Margaux F Keller @margauxkeller]

VN: first study to measure mutation rate in non-euros, last 30K years shows difference in expected rate. #ASHG15

[Margaux F Keller @margauxkeller]

VN: rate of gene conversion proportional to allele freq, correct for this and get mutation rate. #ASHG15

[Margaux F Keller @margauxkeller]

VN: mutation rate: a #sciencedebate! Method using n=1 to estimate mutation rate using autozygous sequences, de novo events #ASHG15

[Margaux F Keller @margauxkeller]

Saunders: European Variation Archive integrates multiple open access databases, outputs results as #JSON files. #ASHG15

[Margaux F Keller @margauxkeller]

Great Q for @erlichya: as this this gets big, how do we steer message: real sci vs anecdotal speculation? Astronomy vs Astrology. #ASHG15

[Margaux F Keller @margauxkeller]

@erlichya imputation for dataset consistency, relative finding. next: phenotype collection via social media #ASHG15 #donateyourgenome

[Margaux F Keller @margauxkeller]

@erlichya http://t.co/RXv3dYkZXN is live. 1250+ genomes in the last 24 hours!!! #donateyourgenome #ASHG15