Gina Peloso, PhD
Associate Professor
Boston University School of Public Health
Biostatistics

PhD, Boston University
MA, Boston University
BA, Boston University



Gina Peloso, PhD, is an Associate Professor in the Department of Biostatistics. Prior to joining BU, she was a post-doctoral fellow in Human Genetics at Massachusetts General Hospital and the Broad Institute. Her primary research focus is statistical genetics. She has contributed to the identification of common genetic variants through genome-wide association studies (GWAS) with complex cardiovascular traits, particularly with plasma lipid levels. She also investigates the role of rare genetic variation using both exome and whole genome sequencing. Her goals for studying genetic variation of blood lipid levels include, first, making insights into the biology behind the traits: What are the underlying causes of high/low lipid levels? Second, to use genetic variants to answer clinically meaningful questions: Can we use genetic variants to predict risk?: Does genetics point to potential therapeutic targets? Finally, to make connections between diseases by shared genetic contributions: What is the relationship between the genetics of blood lipid levels and Alzheimer’s disease (AD)? Gina is an active member in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and TOPMed Program, and a lead investigator in the Global Lipid Genetic Consortium (http://lipidgenetics.org/).

Investigator
Framingham Heart Study


Member
Boston University
Genome Science Institute




Using genetic variation to study biology of blood lipids & coronary heart disease
08/01/2021 - 06/30/2025 (PI)
NIH/National Heart, Lung, and Blood Institute
5R01HL127564-06

Whole genome sequences in ethically diverse individuals with functional assays and genome editing to characterize the biology of plasma lipids
05/01/2019 - 04/30/2024 (Subcontract PI)
Massachusetts General Hospital NIH NHLBI
5R01HL142711-04

Combining experiments of man and nature to target human insulin resistance
02/10/2020 - 12/31/2022 (Subcontract PI)
University of California, San Diego NIH NIDDK
5R01DK123422-03

Personnel Agreement for Research Services of Gina Peloso
10/01/2020 - 09/30/2021 (PI)
VA Boston Healthcare System


Contract to support the Division of Population Health and Data Science at the Massachusetts Veterans Epidemiology Research and Informatics Center (MAVERIC)
09/30/2020 - 09/29/2021 (PI of Sub-Project / SP)
PI: David R. Gagnon, MD, PhD
VA Boston Healthcare System


Genetic determinants of triglyceride-rich lipoproteins to disentangle CHD risk
04/15/2018 - 02/28/2021 (PI)
NIH/National Heart, Lung, and Blood Institute
5R03HL141439-02

Discovering lipoprotein lipase pathway variants that protect against CHD
02/20/2016 - 11/30/2019 (PI)
NIH/National Heart, Lung, and Blood Institute
5K01HL125751-04



Title


Yr Title Project-Sub Proj Pubs
2022 Whole genome sequences in ethnically diverse individuals with functional assays and genome editing to characterize the biology of plasma lipids 5R01HL142711-04
2022 Using genetic variation to study biology of blood lipids & coronary heart disease 5R01HL127564-06
2021 Whole genome sequences in ethnically diverse individuals with functional assays and genome editing to characterize the biology of plasma lipids 5R01HL142711-03 14
2021 Using genetic variation to study biology of blood lipids & coronary heart disease 2R01HL127564-05A1 52
2020 Whole genome sequences in ethnically diverse individuals with functional assays and genome editing to characterize the biology of plasma lipids 5R01HL142711-02 14
2019 Whole genome sequences in ethnically diverse individuals with functional assays and genome editing to characterize the biology of plasma lipids 1R01HL142711-01A1 14
2019 Genetic determinants of triglyceride-rich lipoproteins to disentangle CHD risk 5R03HL141439-02
2018 Genetic determinants of triglyceride-rich lipoproteins to disentangle CHD risk 1R03HL141439-01
2018 Discovering lipoprotein lipase pathway variants that protect against CHD 5K01HL125751-04 21
2017 Discovering lipoprotein lipase pathway variants that protect against CHD 5K01HL125751-03 21
Showing 10 of 12 results. Show All Results

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

iCite Analysis       Copy PMIDs To Clipboard

  1. Small AM, Peloso GM, Linefsky J, Aragam J, Galloway A, Tanukonda V, Wang LC, Yu Z, Sunitha Selvaraj M, Farber-Eger EH, Baker MT, Setia-Verma S, Lee SSK, Preuss M, Ritchie MD, Damrauer SM, Rader DJ, Wells QS, Loos R, Lubitz SA, Thanassoulis G, Cho K, Wilson PWF, Natarajan P, O'Donnell CJ. Multiancestry Genome-Wide Association Study of Aortic Stenosis Identifies Multiple Novel Loci in the Million Veteran Program. Circulation. 2023 Mar 21; 147(12):942-955.View Related Profiles. PMID: 36802703
     
  2. Dron JS, Patel AP, Zhang Y, Jurgens SJ, Maamari DJ, Wang M, Boerwinkle E, Morrison AC, de Vries PS, Fornage M, Hou L, Lloyd-Jones DM, Psaty BM, Tracy RP, Bis JC, Vasan RS, Levy D, Heard-Costa N, Rich SS, Guo X, Taylor KD, Gibbs RA, Rotter JI, Willer CJ, Oelsner EC, Moran AE, Peloso GM, Natarajan P, Khera AV. Association of Rare Protein-Truncating DNA Variants in APOB or PCSK9 With Low-density Lipoprotein Cholesterol Level and Risk of Coronary Heart Disease. JAMA Cardiol. 2023 Feb 01; 8(3):258-67.View Related Profiles. PMID: 36723951
     
  3. Kanoni S, Graham SE, Wang Y, Surakka I, Ramdas S, Zhu X, Clarke SL, Bhatti KF, Vedantam S, Winkler TW, Locke AE, Marouli E, Zajac GJM, Wu KH, Ntalla I, Hui Q, Klarin D, Hilliard AT, Wang Z, Xue C, Thorleifsson G, Helgadottir A, Gudbjartsson DF, Holm H, Olafsson I, Hwang MY, Han S, Akiyama M, Sakaue S, Terao C, Kanai M, Zhou W, Brumpton BM, Rasheed H, Havulinna AS, Veturi Y, Pacheco JA, Rosenthal EA, Lingren T, Feng Q, Kullo IJ, Narita A, Takayama J, Martin HC, Hunt KA, Trivedi B, Haessler J, Giulianini F, Bradford Y, Miller JE, Campbell A, Lin K, Millwood IY, Rasheed A, Hindy G, Faul JD, Zhao W, Weir DR, Turman C, Huang H, Graff M, Choudhury A, Sengupta D, Mahajan A, Brown MR, Zhang W, Yu K, Schmidt EM, Pandit A, Gustafsson S, Yin X, Luan J, Zhao JH, Matsuda F, Jang HM, Yoon K, Medina-Gomez C, Pitsillides A, Hottenga JJ, Wood AR, Ji Y, Gao Z, Haworth S, Yousri NA, Mitchell RE, Chai JF, Aadahl M, Bjerregaard AA, Yao J, Manichaikul A, Hwu CM, Hung YJ, Warren HR, Ramirez J, Bork-Jensen J, Kårhus LL, Goel A, Sabater-Lleal M, Noordam R, Mauro P, Matteo F, McDaid AF, Marques-Vidal P, Wielscher M, Trompet S, Sattar N, Møllehave LT, Munz M, Zeng L, Huang J, Yang B, Poveda A, Kurbasic A, Lamina C, Forer L, Scholz M, Galesloot TE, Bradfield JP, Ruotsalainen SE, Daw E, Zmuda JM, Mitchell JS, Fuchsberger C, Christensen H, Brody JA, Vazquez-Moreno M, Feitosa MF, Wojczynski MK, Wang Z, Preuss MH, Mangino M, Christofidou P, Verweij N, Benjamins JW, Engmann J, Tsao NL, Verma A, Slieker RC, Lo KS, Zilhao NR, Le P, Kleber ME, Delgado GE, Huo S, Ikeda DD, Iha H, Yang J, Liu J, Demirkan A, Leonard HL, Marten J, Frank M, Schmidt B, Smyth LJ, Cañadas-Garre M, Wang C, Nakatochi M, Wong A, Hutri-Kähönen N, Sim X, Xia R, Huerta-Chagoya A, Fernandez-Lopez JC, Lyssenko V, Nongmaithem SS, Bayyana S, Stringham HM, Irvin MR, Oldmeadow C, Kim HN, Ryu S, Timmers PRHJ, Arbeeva L, Dorajoo R, Lange LA, Prasad G, Lorés-Motta L, Pauper M, Long J, Li X, Theusch E, Takeuchi F, Spracklen CN, Loukola A, Bollepalli S, Warner SC, Wang YX, Wei WB, Nutile T, Ruggiero D, Sung YJ, Chen S, Liu F, Yang J, Kentistou KA, Banas B, Nardone GG, Meidtner K, Bielak LF, Smith JA, Hebbar P, Farmaki AE, Hofer E, Lin M, Concas MP, Vaccargiu S, van der Most PJ, Pitkänen N, Cade BE, van der Laan SW, Chitrala KN, Weiss S, Bentley AR, Doumatey AP, Adeyemo AA, Lee JY, Petersen ERB, Nielsen AA, Choi HS, Nethander M, Freitag-Wolf S, Southam L, Rayner NW, Wang CA, Lin SY, Wang JS, Couture C, Lyytikäinen LP, Nikus K, Cuellar-Partida G, Vestergaard H, Hidalgo B, Giannakopoulou O, Cai Q, Obura MO, van Setten J, Li X, Liang J, Tang H, Terzikhan N, Shin JH, Jackson RD, Reiner AP, Martin LW, Chen Z, Li L, Kawaguchi T, Thiery J, Bis JC, Launer LJ, Li H, Nalls MA, Raitakari OT, Ichihara S, Wild SH, Nelson CP, Campbell H, Jäger S, Nabika T, Al-Mulla F, Niinikoski H, Braund PS, Kolcic I, Kovacs P, Giardoglou T, Katsuya T, de Kleijn D, de Borst GJ, Kim EK, Adams HHH, Ikram MA, Zhu X, Asselbergs FW, Kraaijeveld AO, Beulens JWJ, Shu XO, Rallidis LS, Pedersen O, Hansen T, Mitchell P, Hewitt AW, Kähönen M, Pérusse L, Bouchard C, Tönjes A, Chen YI, Pennell CE, Mori TA, Lieb W, Franke A, Ohlsson C, Mellström D, Cho YS, Lee H, Yuan JM, Koh WP, Rhee SY, Woo JT, Heid IM, Stark KJ, Zimmermann ME, Völzke H, Homuth G, Evans MK, Zonderman AB, Polasek O, Pasterkamp G, Hoefer IE, Redline S, Pahkala K, Oldehinkel AJ, Snieder H, Biino G, Schmidt R, Schmidt H, Bandinelli S, Dedoussis G, Thanaraj TA, Kardia SLR, Peyser PA, Kato N, Schulze MB, Girotto G, Böger CA, Jung B, Joshi PK, Bennett DA, De Jager PL, Lu X, Mamakou V, Brown M, Caulfield MJ, Munroe PB, Guo X, Ciullo M, Jonas JB, Samani NJ, Kaprio J, Pajukanta P, Tusié-Luna T, Aguilar-Salinas CA, Adair LS, Bechayda SA, de Silva HJ, Wickremasinghe AR, Krauss RM, Wu JY, Zheng W, Hollander AI, Bharadwaj D, Correa A, Wilson JG, Lind L, Heng CK, Nelson AE, Golightly YM, Wilson JF, Penninx B, Kim HL, Attia J, Scott RJ, Rao DC, Arnett DK, Hunt SC, Walker M, et al. Implicating gView Related Profiles. PMID: 36575460; PMCID: PMC9793579; DOI: 10.1186/s13059-022-02837-1;
     
  4. Li X, Quick C, Zhou H, Gaynor SM, Liu Y, Chen H, Selvaraj MS, Sun R, Dey R, Arnett DK, Bielak LF, Bis JC, Blangero J, Boerwinkle E, Bowden DW, Brody JA, Cade BE, Correa A, Cupples LA, Curran JE, de Vries PS, Duggirala R, Freedman BI, Göring HHH, Guo X, Haessler J, Kalyani RR, Kooperberg C, Kral BG, Lange LA, Manichaikul A, Martin LW, McGarvey ST, Mitchell BD, Montasser ME, Morrison AC, Naseri T, O'Connell JR, Palmer ND, Peyser PA, Psaty BM, Raffield LM, Redline S, Reiner AP, Reupena MS, Rice KM, Rich SS, Sitlani CM, Smith JA, Taylor KD, Vasan RS, Willer CJ, Wilson JG, Yanek LR, Zhao W, Rotter JI, Natarajan P, Peloso GM, Li Z, Lin X. Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies. Nat Genet. 2023 Jan; 55(1):154-164. PMID: 36564505; DOI: 10.1038/s41588-022-01225-6;
     
  5. Rasooly D, Peloso GM, Giambartolomei C. Bayesian Genetic Colocalization Test of Two Traits Using coloc. Curr Protoc. 2022 Dec; 2(12):e627. PMID: 36515558; DOI: 10.1002/cpz1.627;
     
  6. Liu C, Joehanes R, Ma J, Wang Y, Sun X, Keshawarz A, Sooda M, Huan T, Hwang SJ, Bui H, Tejada B, Munson PJ, Demirkale CY, Heard-Costa NL, Pitsillides AN, Peloso GM, Feolo M, Sharopova N, Vasan RS, Levy D. Whole genome DNA and RNA sequencing of whole blood elucidates the genetic architecture of gene expression underlying a wide range of diseases. Sci Rep. 2022 Nov 23; 12(1):20167.View Related Profiles. PMID: 36424512; PMCID: PMC9686236; DOI: 10.1038/s41598-022-24611-w;
     
  7. Haslam DE, Chasman DI, Peloso GM, Herman MA, Dupuis J, Lichtenstein AH, Smith CE, Ridker PM, Jacques PF, Mora S, McKeown NM. Sugar-Sweetened Beverage Consumption and Plasma Lipoprotein Cholesterol, Apolipoprotein, and Lipoprotein Particle Size Concentrations in US Adults. J Nutr. 2022 Nov; 152(11):2534-2545.View Related Profiles. PMID: 36774119
     
  8. Li Z, Li X, Zhou H, Gaynor SM, Selvaraj MS, Arapoglou T, Quick C, Liu Y, Chen H, Sun R, Dey R, Arnett DK, Auer PL, Bielak LF, Bis JC, Blackwell TW, Blangero J, Boerwinkle E, Bowden DW, Brody JA, Cade BE, Conomos MP, Correa A, Cupples LA, Curran JE, de Vries PS, Duggirala R, Franceschini N, Freedman BI, Göring HHH, Guo X, Kalyani RR, Kooperberg C, Kral BG, Lange LA, Lin BM, Manichaikul A, Manning AK, Martin LW, Mathias RA, Meigs JB, Mitchell BD, Montasser ME, Morrison AC, Naseri T, O'Connell JR, Palmer ND, Peyser PA, Psaty BM, Raffield LM, Redline S, Reiner AP, Reupena MS, Rice KM, Rich SS, Smith JA, Taylor KD, Taub MA, Vasan RS, Weeks DE, Wilson JG, Yanek LR, Zhao W, Rotter JI, Willer CJ, Natarajan P, Peloso GM, Lin X. A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies. Nat Methods. 2022 Dec; 19(12):1599-1611. PMID: 36303018; DOI: 10.1038/s41592-022-01640-x;
     
  9. Selvaraj MS, Paruchuri K, Haidermota S, Bernardo R, Rich SS, Peloso GM, Natarajan P. Genome-wide discovery for diabetes-dependent triglycerides-associated loci. PLoS One. 2022; 17(10):e0275934. PMID: 36269708; PMCID: PMC9586367; DOI: 10.1371/journal.pone.0275934;
     
  10. Selvaraj MS, Li X, Li Z, Pampana A, Zhang DY, Park J, Aslibekyan S, Bis JC, Brody JA, Cade BE, Chuang LM, Chung RH, Curran JE, de Las Fuentes L, de Vries PS, Duggirala R, Freedman BI, Graff M, Guo X, Heard-Costa N, Hidalgo B, Hwu CM, Irvin MR, Kelly TN, Kral BG, Lange L, Li X, Lisa M, Lubitz SA, Manichaikul AW, Michael P, Montasser ME, Morrison AC, Naseri T, O'Connell JR, Palmer ND, Peyser PA, Reupena MS, Smith JA, Sun X, Taylor KD, Tracy RP, Tsai MY, Wang Z, Wang Y, Bao W, Wilkins JT, Yanek LR, Zhao W, Arnett DK, Blangero J, Boerwinkle E, Bowden DW, Chen YI, Correa A, Cupples LA, Dutcher SK, Ellinor PT, Fornage M, Gabriel S, Germer S, Gibbs R, He J, Kaplan RC, Kardia SLR, Kim R, Kooperberg C, Loos RJF, Viaud-Martinez KA, Mathias RA, McGarvey ST, Mitchell BD, Nickerson D, North KE, Psaty BM, Redline S, Reiner AP, Vasan RS, Rich SS, Willer C, Rotter JI, Rader DJ, Lin X, Peloso GM, Natarajan P. Whole genome sequence analysis of blood lipid levels in >66,000 individuals. Nat Commun. 2022 Oct 11; 13(1):5995.View Related Profiles. PMID: 36220816; PMCID: PMC9553944; DOI: 10.1038/s41467-022-33510-7;
     
Showing 10 of 134 results. Show More

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 134 publications over 17 distinct years, with a maximum of 19 publications in 2016

YearPublications
20071
20081
20095
20105
20113
20127
201310
20148
20157
201619
201710
201813
20194
20209
202112
202218
20232

In addition to these self-described keywords below, a list of MeSH based concepts is available here.

Risk Factors
Biostatistics
Human Genetics
Statistical Genetics
Statistical Data Analyses
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801 Massachusetts Ave Crosstown Center
Boston MA 02118
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