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Nilanjan Chatterjee Profile
Nilanjan Chatterjee

@nilanjan10c

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Dad, statistician deeply involved in science, mentor and educator . Bloomberg Distinguished Professor at Johns Hopkins. Tweets are my own. He/him/his.

Maryland
Joined October 2014
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@nilanjan10c
Nilanjan Chatterjee
2 years
The last of our trio of papers on alternative classes of methods for generating PGS for multi-ancestry population @PRSdivsesity using summary statistics data is out! The whole project was possible by incredible team effort and individual leaderships by @JingningZhang35
@JingningZhang35
Jingning Zhang
2 years
Our paper on PROSPER, a new multi-ancestry PRS method with penalized regression is out on @NatureComms ! Check here https://t.co/d74kCIr8WB. Thanks to everyone offering help along the way!! @nilanjan10c @AndrewHaoyu @Jin_10ustc @JiananZhan @RuzhangZhao Cheng Ma and @PRSdiversity
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@nilanjan10c
Nilanjan Chatterjee
1 month
Was fortunate to see the place where it all started while attending the Genomics meet Exposomics conference in Brno, Czech Republic, right next to the gardens Mendel grew his pea plants. Check out the patterns of Bougainvillea in the current garden!
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@SashaGusevPosts
Sasha Gusev
2 months
New study from us looking at how germline cancer risk (estimated through polygenic scores) correlates with survival for patients who develop cancer. Led by postdoc Danielle Kurant + collaboration with 23andme. 🧵:
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@KellyLBolton
Kelly Bolton MD PhD
5 months
Germline genetic variation has been linked to both hematologic cancer and clonal hematopoiesis. But does germline variation influence the likelihood of CH progressing to cancer? And if so, why? We tackle these questions here in @NatureGenet https://t.co/oICxxJHhI3
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nature.com
Nature Genetics - The relationship between pathogenic germline variation, clonal hematopoiesis (CH) and risk of hematologic malignancy is explored in 731,835 individuals across 6 cohorts. Carriers...
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@nilanjan10c
Nilanjan Chatterjee
6 months
Happy to organize a session “Family-based association studies: The post GWAS-era” at STATGEN2025! All the talks and the discussion came together so well thanks to @AlexTISYoung @DrDebashreeRay @ZiqiaoBiostat and Dan Schaid.
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@pnatarajanmd
Pradeep Natarajan
8 months
Terrific work from @iftikhar_kullo. *10y* fu MI-GENES trial ( https://t.co/4CeorgrjXw @CircAHA) now shows that CAD PRS disclosure vs not on top of clinical risk disclosure for intermediate risk adults leads to reduction in MACE https://t.co/3gYuEBPzKE @Circ_Gen #ACC25 Small trial
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ahajournals.org
BACKGROUND: In the Myocardial Infarction Genes clinical trial (URL: https://www.clinicaltrials.gov; Unique identifier: NCT01936675), participants at intermediate risk of coronary heart disease (CHD)...
@MariosGeorgakis
Marios Georgakis
8 months
MI-GENES randomized patients at intermediate cardiovascular risk to disclosure of framingham risk score 🆚an integrated score also incuding a polygenic risk score (PRS)🧬 Disclosing the PRS led to 👉lower LDL 👉higher statin initiation 👉lower 10-y cardiovascular event rates
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@nilanjan10c
Nilanjan Chatterjee
10 months
Nicely done @Jin_10ustc and colleagues!
@Jin_10ustc
Jin Jin
10 months
New preprint out on PennPRS: a centralized cloud computing platform for efficient polygenic risk score training in precision medicine @getian107 @MarylynRitchie @bpasaniuc @genandgenes Website: https://t.co/FSHu6nBybz Preprint:
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@martinjzhang
Martin Jinye Zhang
1 year
Using #AI to increase #RareDisease #GWAS discoveries by up to 100%. One of the largest integrations of #GWAS and #FunctionalGenomics. Amazing collaboration with @KexinHuang5 and team!
@KexinHuang5
Kexin Huang
1 year
🧬GWAS is fundamental in drug discovery, linking disease to genetic variants. However, studying rare and uncommon diseases with GWAS is hard due to the huge sample sizes required. How can we use AI to help GWAS with small cohorts? In a multi-year collaboration @GSK
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@jhubiostat
jhubiostat
1 year
Scott Zeger has been a part of @JohnsHopkinsSPH for 42 years. Hear about Scott's current work, and his time at Bloomberg, via our Faculty Spotlight video:
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@pnatarajanmd
Pradeep Natarajan
1 year
Current polygenic risk scores require binning of ancestry groups but we know ancestry is a continuum. Our study led by @Yunfeng_Ruan introduces DiscoDivas, a new generalizable PRS framework across the ancestry spectrum https://t.co/MCduxNKpSg @medrxivpreprint @PRSdiversity
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@Lizstuartdc
Elizabeth Stuart
1 year
We have amazingly creative people in @jhubiostat! Check out Jessica's haunted office photos, and those on campus @JohnsHopkinsSPH can stop by E3536 today if you dare!
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@jhugeneticepi
Johns Hopkins Genetic Epidemiology
1 year
A great way to start the day, celebrating two recent promotions to Associate Professor! @DrDebashreeRay and @genandgenes are outstanding teachers and scholars! Check out their research! We are so lucky to have them here!
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@jhubiostat
jhubiostat
1 year
Zhi Yu earned a concurrent MHS from @jhubiostat, along with her PhD from @JohnsHopkinsEPI, in 2020, and is now an investigator and assistant professor @MGHMedicine. Read about her work, and her time in our program, on our website:
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publichealth.jhu.edu
Zhi Yu, MHS, PhD ’20, is an investigator at Massachusetts General Hospital and an affiliate faculty member at Broad Institute of MIT and Harvard.
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@nilanjan10c
Nilanjan Chatterjee
1 year
Congratulations @ZiqiaoBiostat for taking this beautiful work to finish line!
@ZiqiaoBiostat
Ziqiao Wang
1 year
Very excited to share our new preprint describing a framework for the analysis of PGS in case-parent trios. It allows simultaneous estimation of direct, indirect, and PGSxE interaction effects. @nilanjan10c https://t.co/4DybBqARw5
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@hvgoenka
Harsh Goenka
1 year
The clock has stopped ticking. The Titan passes away. #RatanTata was a beacon of integrity, ethical leadership and philanthropy, who has imprinted an indelible mark on the world of business and beyond. He will forever soar high in our memories. R.I.P
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@antonis02
Antonis Antoniou
1 year
How the discovery of a breast cancer risk gene changed the story of cancer
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cam.ac.uk
How the discovery of a breast cancer risk gene changed the story of cancer
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@nilanjan10c
Nilanjan Chatterjee
1 year
Memphis got style….welcoming liquor at hotel with Mississippi in background. Was too tempting not to try it though it’s pretty early for it. Will be honored to visit @StJudeResearch tomorrow and present at the Danny Thomas Lecture Series.
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@ArkajyotiSaha2
Arkajyoti Saha
1 year
I'm thrilled to share that I've started as an assistant professor in the Department of Statistics at UC Irvine's Donald Bren School of ICS (@UCIbrenICS). This would not have been possible without my mentors @daniela_witten, Jacob Bien, @datta_science, and @nilanjan10c!
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@nilanjan10c
Nilanjan Chatterjee
1 year
Huge Congratulations @ZiqiaoBiostat! So proud to have you in my group.
@ZiqiaoBiostat
Ziqiao Wang
1 year
I'm happy to share that I received K99/R00 Pathway to Independence Award @NIH @genome_gov on enhancing the interpretability of polygenic scores through multi-omics integration and in family-based studies. Immensely thankful to my mentors and referees! @nilanjan10c @jhubiostat
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@pnatarajanmd
Pradeep Natarajan
1 year
Fantastic @Nature News Feature by @AnilOza16- Why does heart disease affect so many young South Asians? Highlights our ambitious goals with @ourhealthstudy & others like @masala_study. https://t.co/LWjZ9WYuh0 💜 https://t.co/htwIQvmA5l 💜 @HeartDocSadiya @alka_kanaya @NammiKan
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@XihongLin
Xihong Lin
1 year
Our Statistics Science Interview of Ray Carroll about his career, joint with @nilanjan10c . Ray is an outstanding statistician and scientist. He has been a wonderful mentor of many, not just his students and postdocs, but many who are not. https://t.co/1P9XLSa9m2
projecteuclid.org
Raymond J. Carroll is Distinguished Professor of Statistics, Nutrition and Toxicology at Texas A& M University, USA. He has made fundamental contributions to numerous statistical and health science...
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