Tanmoy Roychowdhury, PhD
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Genetics
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Contact Info
About
Titles
Associate Research Scientist in Genetics
Appointments
Education & Training
- Postdoctoral Research Fellow
- University of Michigan (2021)
- Postdoctoral Research Fellow
- Mayo Clinic (2019)
- PhD
- Jawaharlal Nehru University (2016)
Research
Overview
Medical Subject Headings (MeSH)
Computational Biology; Genetics; Genomics
ORCID
0000-0002-1187-1720
Research at a Glance
Yale Co-Authors
Frequent collaborators of Tanmoy Roychowdhury's published research.
Publications Timeline
A big-picture view of Tanmoy Roychowdhury's research output by year.
Research Interests
Research topics Tanmoy Roychowdhury is interested in exploring.
Adriana Cherskov
Angus Nairn, PhD
Flora Vaccarino, MD
Alexej Abyzov, PhD
Anita Huttner, MD
Gianfilippo Coppola, PhD
21Publications
3,316Citations
Genomics
Computational Biology
Publications
2023
Genome-wide association meta-analysis identifies risk loci for abdominal aortic aneurysm and highlights PCSK9 as a therapeutic target
Roychowdhury T, Klarin D, Levin M, Spin J, Rhee Y, Deng A, Headley C, Tsao N, Gellatly C, Zuber V, Shen F, Hornsby W, Laursen I, Verma S, Locke A, Einarsson G, Thorleifsson G, Graham S, Dikilitas O, Pattee J, Judy R, Pauls-Verges F, Nielsen J, Wolford B, Brumpton B, Dilmé J, Peypoch O, Juscafresa L, Edwards T, Li D, Banasik K, Brunak S, Jacobsen R, Garcia-Barrio M, Zhang J, Rasmussen L, Lee R, Handa A, Wanhainen A, Mani K, Lindholt J, Obel L, Strauss E, Oszkinis G, Nelson C, Saxby K, van Herwaarden J, van der Laan S, van Setten J, Camacho M, Davis F, Wasikowski R, Tsoi L, Gudjonsson J, Eliason J, Coleman D, Henke P, Ganesh S, Chen Y, Guan W, Pankow J, Pankratz N, Pedersen O, Erikstrup C, Tang W, Hveem K, Gudbjartsson D, Gretarsdottir S, Thorsteinsdottir U, Holm H, Stefansson K, Ferreira M, Baras A, Kullo I, Ritchie M, Christensen A, Iversen K, Eldrup N, Sillesen H, Ostrowski S, Bundgaard H, Ullum H, Burgess S, Gill D, Gallagher K, Sabater-Lleal M, Surakka I, Jones G, Bown M, Tsao P, Willer C, Damrauer S. Genome-wide association meta-analysis identifies risk loci for abdominal aortic aneurysm and highlights PCSK9 as a therapeutic target. Nature Genetics 2023, 55: 1831-1842. PMID: 37845353, PMCID: PMC10632148, DOI: 10.1038/s41588-023-01510-y.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsAbdominal aortic aneurysmDevelopment of AAAAortic aneurysmNonhigh-density lipoprotein cholesterolLipid metabolismExtracellular matrix dysregulationClinical risk factorsPreclinical mouse modelsGrowth factor β signalingLipoprotein cholesterolMatrix dysregulationIndependent associationRisk factorsPCSK9 lossDiscovery cohortPolygenic risk scoresRisk lociAAA pathogenesisMouse modelRisk scoreTherapeutic targetAAA riskΒ signalingCommon diseaseMendelian randomizationGenome-wide association study of thoracic aortic aneurysm and dissection in the Million Veteran Program
Klarin D, Devineni P, Sendamarai A, Angueira A, Graham S, Shen Y, Levin M, Pirruccello J, Surakka I, Karnam P, Roychowdhury T, Li Y, Wang M, Aragam K, Paruchuri K, Zuber V, Shakt G, Tsao N, Judy R, Vy H, Verma S, Rader D, Do R, Bavaria J, Nadkarni G, Ritchie M, Burgess S, Guo D, Ellinor P, LeMaire S, Milewicz D, Willer C, Natarajan P, Tsao P, Pyarajan S, Damrauer S. Genome-wide association study of thoracic aortic aneurysm and dissection in the Million Veteran Program. Nature Genetics 2023, 55: 1106-1115. PMID: 37308786, PMCID: PMC10335930, DOI: 10.1038/s41588-023-01420-z.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsGenome-wide association studiesAssociation studiesMillion Veteran ProgramProtein-altering variantsHuman genetic evidenceGenetic architectureComplex traitsGenetic evidenceDNA sequencesRisk lociMendelian formsRisk genesCell typesGenetic determinantsVeteran ProgramCurrent understandingGenesLociTraitsTAADReplicationSequenceVariants
2022
81. RESOLVING THE EXACT BREAKPOINTS AND SEQUENCE REARRANGEMENTS OF LARGE NEUROPSYCHIATRIC COPY NUMBER VARIATIONS (CNVS) AT SINGLE BASE-PAIR RESOLUTION USING CRISPR-TARGETED ULTRA-LONG READ SEQUENCING (CTLR-SEQ)
Zhou B, Shin G, Vervoort L, Greer S, Huang Y, Roychowdhury T, Pattni R, Abyzov A, Vermeesch J, Ji H, Urban A. 81. RESOLVING THE EXACT BREAKPOINTS AND SEQUENCE REARRANGEMENTS OF LARGE NEUROPSYCHIATRIC COPY NUMBER VARIATIONS (CNVS) AT SINGLE BASE-PAIR RESOLUTION USING CRISPR-TARGETED ULTRA-LONG READ SEQUENCING (CTLR-SEQ). European Neuropsychopharmacology 2022, 63: e88-e89. DOI: 10.1016/j.euroneuro.2022.07.166.Peer-Reviewed Original Research
2021
Regulatory variants in TCF7L2 are associated with thoracic aortic aneurysm
Roychowdhury T, Lu H, Hornsby WE, Crone B, Wang GT, Guo DC, Sendamarai AK, Devineni P, Lin M, Zhou W, Graham SE, Wolford BN, Surakka I, Wang Z, Chang L, Zhang J, Mathis M, Brummett CM, Melendez TL, Shea MJ, Kim KM, Deeb GM, Patel HJ, Eliason J, Eagle KA, Yang B, Ganesh SK, Brumpton B, Åsvold BO, Skogholt AH, Hveem K, Program V, Pyarajan S, Klarin D, Tsao PS, Damrauer SM, Leal SM, Milewicz DM, Chen YE, Garcia-Barrio MT, Willer CJ. Regulatory variants in TCF7L2 are associated with thoracic aortic aneurysm. American Journal Of Human Genetics 2021, 108: 1578-1589. PMID: 34265237, PMCID: PMC8456156, DOI: 10.1016/j.ajhg.2021.06.016.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsMeSH KeywordsAortaAortic Aneurysm, ThoracicBcl-2-Associated X ProteinCase-Control StudiesCaspase 3Diabetes Mellitus, Type 2Endothelial CellsGene Expression RegulationGenome, HumanGenome-Wide Association StudyHumansIntronsMichiganMuscle, Smooth, VascularMutationProto-Oncogene Proteins c-bcl-2Quantitative Trait LociTranscription Factor 7-Like 2 ProteinConceptsGenome-wide significant associationDifferent causal variantsGenome-wide scanCommon variantsVascular smooth muscle cell apoptosisSmooth muscle cell apoptosisMuscle cell apoptosisRegulatory variantsGenomics initiativesSingle geneThird intronCausal variantsMichigan Genomics InitiativeHeritable diseaseType 2 diabetesCell apoptosisGenetic associationAdditional independent cohortsTCF7L2Aortic aneurysmLociHigh expressionTAAGenetic risk factorsFunctional relationshipPattern of genomic variation in SARS-CoV-2 (COVID-19) suggests restricted nonrandom changes: Analysis using Shewhart control charts
MANDAL S, ROYCHOWDHURY T, BHATTACHARYA A. Pattern of genomic variation in SARS-CoV-2 (COVID-19) suggests restricted nonrandom changes: Analysis using Shewhart control charts. Journal Of Biosciences 2021, 46: 11. PMID: 33709963, PMCID: PMC7856336, DOI: 10.1007/s12038-020-00131-5.Peer-Reviewed Original ResearchCitationsAltmetric
2020
Loss-of-function genomic variants highlight potential therapeutic targets for cardiovascular disease
Nielsen JB, Rom O, Surakka I, Graham SE, Zhou W, Roychowdhury T, Fritsche LG, Gagliano Taliun SA, Sidore C, Liu Y, Gabrielsen ME, Skogholt AH, Wolford B, Overton W, Zhao Y, Chen J, Zhang H, Hornsby WE, Acheampong A, Grooms A, Schaefer A, Zajac GJM, Villacorta L, Zhang J, Brumpton B, Løset M, Rai V, Lundegaard PR, Olesen MS, Taylor KD, Palmer ND, Chen YD, Choi SH, Lubitz SA, Ellinor PT, Barnes KC, Daya M, Rafaels N, Weiss ST, Lasky-Su J, Tracy RP, Vasan RS, Cupples LA, Mathias RA, Yanek LR, Becker LC, Peyser PA, Bielak LF, Smith JA, Aslibekyan S, Hidalgo BA, Arnett DK, Irvin MR, Wilson JG, Musani SK, Correa A, Rich SS, Guo X, Rotter JI, Konkle BA, Johnsen JM, Ashley-Koch AE, Telen MJ, Sheehan VA, Blangero J, Curran JE, Peralta JM, Montgomery C, Sheu WH, Chung RH, Schwander K, Nouraie SM, Gordeuk VR, Zhang Y, Kooperberg C, Reiner AP, Jackson RD, Bleecker ER, Meyers DA, Li X, Das S, Yu K, LeFaive J, Smith A, Blackwell T, Taliun D, Zollner S, Forer L, Schoenherr S, Fuchsberger C, Pandit A, Zawistowski M, Kheterpal S, Brummett CM, Natarajan P, Schlessinger D, Lee S, Kang HM, Cucca F, Holmen OL, Åsvold BO, Boehnke M, Kathiresan S, Abecasis GR, Chen YE, Willer CJ, Hveem K. Loss-of-function genomic variants highlight potential therapeutic targets for cardiovascular disease. Nature Communications 2020, 11: 6417. PMID: 33339817, PMCID: PMC7749177, DOI: 10.1038/s41467-020-20086-3.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsCardiovascular diseaseProtein-altering variantsNon-fasting blood glucoseFatty liver diseaseMore cardiovascular diseasesPotential therapeutic targetNovel candidate drug targetsDrug targetsLipoprotein cholesterolLiver diseaseLiver functionHUNT StudyBlood glucoseLiver enzymesMetabolic disordersCandidate drug targetsTherapeutic targetLDL uptakeLDL receptorDiseaseHepatoma cells resultsAdverse effectsBlood traitsDyslipidemiaBeneficial impactGWAS of thyroid stimulating hormone highlights pleiotropic effects and inverse association with thyroid cancer
Zhou W, Brumpton B, Kabil O, Gudmundsson J, Thorleifsson G, Weinstock J, Zawistowski M, Nielsen JB, Chaker L, Medici M, Teumer A, Naitza S, Sanna S, Schultheiss UT, Cappola A, Karjalainen J, Kurki M, Oneka M, Taylor P, Fritsche LG, Graham SE, Wolford BN, Overton W, Rasheed H, Haug EB, Gabrielsen ME, Skogholt AH, Surakka I, Davey Smith G, Pandit A, Roychowdhury T, Hornsby WE, Jonasson JG, Senter L, Liyanarachchi S, Ringel MD, Xu L, Kiemeney LA, He H, Netea-Maier RT, Mayordomo JI, Plantinga TS, Hrafnkelsson J, Hjartarson H, Sturgis EM, Palotie A, Daly M, Citterio CE, Arvan P, Brummett CM, Boehnke M, de la Chapelle A, Stefansson K, Hveem K, Willer CJ, Åsvold BO. GWAS of thyroid stimulating hormone highlights pleiotropic effects and inverse association with thyroid cancer. Nature Communications 2020, 11: 3981. PMID: 32769997, PMCID: PMC7414135, DOI: 10.1038/s41467-020-17718-z.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsPleiotropic effectsGenome-wide significant lociPhenome-wide association analysisSignificant lociGenetic markersAssociation analysisUK BiobankNormal developmentFunctional experimentsIndex variantsGenetic contributionGWASTwo-sample Mendelian randomizationPolygenic scoresVariantsMendelian randomizationLociG67Independent studiesThyroid cancerMetabolismBiobankHormoneThyroglobulin secretion
2019
Chromatin organization modulates the origin of heritable structural variations in human genome
Roychowdhury T, Abyzov A. Chromatin organization modulates the origin of heritable structural variations in human genome. Nucleic Acids Research 2019, 47: 2766-2777. PMID: 30773596, PMCID: PMC6451188, DOI: 10.1093/nar/gkz103.Peer-Reviewed Original ResearchCitationsAltmetric
2018
Transcriptome and epigenome landscape of human cortical development modeled in organoids
Amiri A, Coppola G, Scuderi S, Wu F, Roychowdhury T, Liu F, Pochareddy S, Shin Y, Safi A, Song L, Zhu Y, Sousa AMM, Gerstein M, Crawford G, Sestan N, Abyzov A, Vaccarino F, Akbarian S, An J, Armoskus C, Ashley-Koch A, Beach T, Belmont J, Bendl J, Borrman T, Brown L, Brown M, Brown M, Brunetti T, Bryois J, Burke E, Camarena A, Carlyle B, Chae Y, Charney A, Chen C, Cheng L, Cherskov A, Choi J, Clarke D, Collado-Torres L, Dai R, De La Torre Ubieta L, DelValle D, Devillers O, Dracheva S, Emani P, Evgrafov O, Farnham P, Fitzgerald D, Flatow E, Francoeur N, Fullard J, Gandal M, Gao T, Garrett M, Geschwind D, Giase G, Girdhar K, Giusti-Rodriguez P, Goes F, Goodman T, Grennan K, Gu M, Gürsoy G, Hadjimichael E, Hahn C, Haroutunian V, Hauberg M, Hoffman G, Huey J, Hyde T, Ivanov N, Jacobov R, Jaffe A, Jiang Y, Jiang Y, Johnson G, Kassim B, Kefi A, Kim Y, Kitchen R, Kleiman J, Knowles J, Kozlenkov A, Li M, Li Z, Lipska B, Liu C, Liu S, Mangravite L, Mariani J, Mattei E, Miller D, Moore J, Nairn A, Navarro F, Park R, Peters M, Pinto D, Pochareddy S, Polioudakis D, Pratt H, Price A, Purcaro M, Ray M, Reddy T, Rhie S, Roussos P, Sanders S, Santpere G, Schreiner S, Sheppard B, Shi X, Shieh A, Shin J, Skarica M, Song L, Sousa A, Spitsyna V, State M, Sullivan P, Swarup V, Szatkiewicz J, Szekely A, Tao R, van Bakel H, Wang Y, Wang D, Warrell J, Webster M, Weissman S, Weng Z, Werling D, White K, Willsey J, Wiseman J, Witt H, Won H, Wray G, Xia Y, Xu M, Yang Y, Yang M, Zandi P, Zhang J, Zharovsky E. Transcriptome and epigenome landscape of human cortical development modeled in organoids. Science 2018, 362 PMID: 30545853, PMCID: PMC6426303, DOI: 10.1126/science.aat6720.Peer-Reviewed Original ResearchCitationsAltmetricComprehensive functional genomic resource and integrative model for the human brain
Wang D, Liu S, Warrell J, Won H, Shi X, Navarro FCP, Clarke D, Gu M, Emani P, Yang YT, Xu M, Gandal MJ, Lou S, Zhang J, Park JJ, Yan C, Rhie SK, Manakongtreecheep K, Zhou H, Nathan A, Peters M, Mattei E, Fitzgerald D, Brunetti T, Moore J, Jiang Y, Girdhar K, Hoffman GE, Kalayci S, Gümüş ZH, Crawford GE, Roussos P, Akbarian S, Jaffe A, White K, Weng Z, Sestan N, Geschwind D, Knowles J, Gerstein M, Ashley-Koch A, Crawford G, Garrett M, Song L, Safi A, Johnson G, Wray G, Reddy T, Goes F, Zandi P, Bryois J, Jaffe A, Price A, Ivanov N, Collado-Torres L, Hyde T, Burke E, Kleiman J, Tao R, Shin J, Akbarian S, Girdhar K, Jiang Y, Kundakovic M, Brown L, Kassim B, Park R, Wiseman J, Zharovsky E, Jacobov R, Devillers O, Flatow E, Hoffman G, Lipska B, Lewis D, Haroutunian V, Hahn C, Charney A, Dracheva S, Kozlenkov A, Belmont J, DelValle D, Francoeur N, Hadjimichael E, Pinto D, van Bakel H, Roussos P, Fullard J, Bendl J, Hauberg M, Mangravite L, Peters M, Chae Y, Peng J, Niu M, Wang X, Webster M, Beach T, Chen C, Jiang Y, Dai R, Shieh A, Liu C, Grennan K, Xia Y, Vadukapuram R, Wang Y, Fitzgerald D, Cheng L, Brown M, Brown M, Brunetti T, Goodman T, Alsayed M, Gandal M, Geschwind D, Won H, Polioudakis D, Wamsley B, Yin J, Hadzic T, De La Torre Ubieta L, Swarup V, Sanders S, State M, Werling D, An J, Sheppard B, Willsey A, White K, Ray M, Giase G, Kefi A, Mattei E, Purcaro M, Weng Z, Moore J, Pratt H, Huey J, Borrman T, Sullivan P, Giusti-Rodriguez P, Kim Y, Sullivan P, Szatkiewicz J, Rhie S, Armoskus C, Camarena A, Farnham P, Spitsyna V, Witt H, Schreiner S, Evgrafov O, Knowles J, Gerstein M, Liu S, Wang D, Navarro F, Warrell J, Clarke D, Emani P, Gu M, Shi X, Xu M, Yang Y, Kitchen R, Gürsoy G, Zhang J, Carlyle B, Nairn A, Li M, Pochareddy S, Sestan N, Skarica M, Li Z, Sousa A, Santpere G, Choi J, Zhu Y, Gao T, Miller D, Cherskov A, Yang M, Amiri A, Coppola G, Mariani J, Scuderi S, Szekely A, Vaccarino F, Wu F, Weissman S, Roychowdhury T, Abyzov A. Comprehensive functional genomic resource and integrative model for the human brain. Science 2018, 362 PMID: 30545857, PMCID: PMC6413328, DOI: 10.1126/science.aat8464.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsQuantitative trait lociCell type proportionsComprehensive functional genomics resourceExpression quantitative trait lociFunctional genomics resourcesSingle-cell expression profilesGene regulatory networksFurther quantitative trait lociPsychENCODE ConsortiumGenomic resourcesComprehensive online resourceRegulatory networksKey genesCross-population variationExpression profilesMolecular mechanismsCell typesGenesAdult brainPolygenic risk scoresStudy variantsChromatinSplicingGenetic riskInterpretable deep learning model