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

PhD, Boston University
MA, 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. Liu C, Joehanes R, Ma J, Wang Y, Sun X, Keshawarz A, Sooda M, Huan T, Hwang SJ, Bui H, Tejada B, Munson PJ, Cumhur D, 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. Res Sq. 2022 May 31.View Related Profiles. PMID: 35664994; PMCID: PMC9164515; DOI: 10.21203/rs.3.rs-1598646/v1;
     
  2. Huang RDL, Nguyen XT, Peloso GM, Trinder M, Posner DC, Aragam KG, Ho YL, Lynch JA, Damrauer SM, Chang KM, Tsao PS, Natarajan P, Assimes T, Gaziano JM, Djousse L, Cho K, Wilson PWF, Huffman JE, O'Donnell CJ. Genome-wide and phenome-wide analysis of ideal cardiovascular health in the VA Million Veteran Program. PLoS One. 2022; 17(5):e0267900.View Related Profiles. PMID: 35613103; PMCID: PMC9132265; DOI: 10.1371/journal.pone.0267900;
     
  3. Liu C, Joehanes R, Ma J, Wang Y, Sun X, Keshawarz A, Sooda M, Huan T, Hwang SJ, Bui H, Tejada B, Munson PJ, Cumhur D, 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. medRxiv. 2022 May 03.View Related Profiles. PMID: 35547845; PMCID: PMC9094109; DOI: 10.1101/2022.04.13.22273841;
     
  4. Nakao T, Bick AG, Taub MA, Zekavat SM, Uddin MM, Niroula A, Carty CL, Lane J, Honigberg MC, Weinstock JS, Pampana A, Gibson CJ, Griffin GK, Clarke SL, Bhattacharya R, Assimes TL, Emery LS, Stilp AM, Wong Q, Broome J, Laurie CA, Khan AT, Smith AV, Blackwell TW, Codd V, Nelson CP, Yoneda ZT, Peralta JM, Bowden DW, Irvin MR, Boorgula M, Zhao W, Yanek LR, Wiggins KL, Hixson JE, Gu CC, Peloso GM, Roden DM, Reupena MS, Hwu CM, DeMeo DL, North KE, Kelly S, Musani SK, Bis JC, Lloyd-Jones DM, Johnsen JM, Preuss M, Tracy RP, Peyser PA, Qiao D, Desai P, Curran JE, Freedman BI, Tiwari HK, Chavan S, Smith JA, Smith NL, Kelly TN, Hidalgo B, Cupples LA, Weeks DE, Hawley NL, Minster RL, Deka R, Naseri TT, de Las Fuentes L, Raffield LM, Morrison AC, Vries PS, Ballantyne CM, Kenny EE, Rich SS, Whitsel EA, Cho MH, Shoemaker MB, Pace BS, Blangero J, Palmer ND, Mitchell BD, Shuldiner AR, Barnes KC, Redline S, Kardia SLR, Abecasis GR, Becker LC, Heckbert SR, He J, Post W, Arnett DK, Vasan RS, Darbar D, Weiss ST, McGarvey ST, de Andrade M, Chen YI, Kaplan RC, Meyers DA, Custer BS, Correa A, Psaty BM, Fornage M, Manson JE, Boerwinkle E, Konkle BA, Loos RJF, Rotter JI, Silverman EK, Kooperberg C, Danesh J, Samani NJ, Jaiswal S, Libby P, Ellinor PT, Pankratz N, Ebert BL, Reiner AP, Mathias RA, Do R, Natarajan P. Mendelian randomization supports bidirectional causality between telomere length and clonal hematopoiesis of indeterminate potential. Sci Adv. 2022 Apr 08; 8(14):eabl6579. PMID: 35385311; PMCID: PMC8986098; DOI: 10.1126/sciadv.abl6579;
     
  5. Bellenguez C, Küçükali F, Jansen IE, Kleineidam L, Moreno-Grau S, Amin N, Naj AC, Campos-Martin R, Grenier-Boley B, Andrade V, Holmans PA, Boland A, Damotte V, van der Lee SJ, Costa MR, Kuulasmaa T, Yang Q, de Rojas I, Bis JC, Yaqub A, Prokic I, Chapuis J, Ahmad S, Giedraitis V, Aarsland D, Garcia-Gonzalez P, Abdelnour C, Alarcón-Martín E, Alcolea D, Alegret M, Alvarez I, Álvarez V, Armstrong NJ, Tsolaki A, Antúnez C, Appollonio I, Arcaro M, Archetti S, Pastor AA, Arosio B, Athanasiu L, Bailly H, Banaj N, Baquero M, Barral S, Beiser A, Pastor AB, Below JE, Benchek P, Benussi L, Berr C, Besse C, Bessi V, Binetti G, Bizarro A, Blesa R, Boada M, Boerwinkle E, Borroni B, Boschi S, Bossù P, Bråthen G, Bressler J, Bresner C, Brodaty H, Brookes KJ, Brusco LI, Buiza-Rueda D, Bûrger K, Burholt V, Bush WS, Calero M, Cantwell LB, Chene G, Chung J, Cuccaro ML, Carracedo Á, Cecchetti R, Cervera-Carles L, Charbonnier C, Chen HH, Chillotti C, Ciccone S, Claassen JAHR, Clark C, Conti E, Corma-Gómez A, Costantini E, Custodero C, Daian D, Dalmasso MC, Daniele A, Dardiotis E, Dartigues JF, de Deyn PP, de Paiva Lopes K, de Witte LD, Debette S, Deckert J, Del Ser T, Denning N, DeStefano A, Dichgans M, Diehl-Schmid J, Diez-Fairen M, Rossi PD, Djurovic S, Duron E, Düzel E, Dufouil C, Eiriksdottir G, Engelborghs S, Escott-Price V, Espinosa A, Ewers M, Faber KM, Fabrizio T, Nielsen SF, Fardo DW, Farotti L, Fenoglio C, Fernández-Fuertes M, Ferrari R, Ferreira CB, Ferri E, Fin B, Fischer P, Fladby T, Fließbach K, Fongang B, Fornage M, Fortea J, Foroud TM, Fostinelli S, Fox NC, Franco-Macías E, Bullido MJ, Frank-García A, Froelich L, Fulton-Howard B, Galimberti D, García-Alberca JM, García-González P, Garcia-Madrona S, Garcia-Ribas G, Ghidoni R, Giegling I, Giorgio G, Goate AM, Goldhardt O, Gomez-Fonseca D, González-Pérez A, Graff C, Grande G, Green E, Grimmer T, Grünblatt E, Grunin M, Gudnason V, Guetta-Baranes T, Haapasalo A, Hadjigeorgiou G, Haines JL, Hamilton-Nelson KL, Hampel H, Hanon O, Hardy J, Hartmann AM, Hausner L, Harwood J, Heilmann-Heimbach S, Helisalmi S, Heneka MT, Hernández I, Herrmann MJ, Hoffmann P, Holmes C, Holstege H, Vilas RH, Hulsman M, Humphrey J, Biessels GJ, Jian X, Johansson C, Jun GR, Kastumata Y, Kauwe J, Kehoe PG, Kilander L, Ståhlbom AK, Kivipelto M, Koivisto A, Kornhuber J, Kosmidis MH, Kukull WA, Kuksa PP, Kunkle BW, Kuzma AB, Lage C, Laukka EJ, Launer L, Lauria A, Lee CY, Lehtisalo J, Lerch O, Lleó A, Longstreth W, Lopez O, de Munain AL, Love S, Löwemark M, Luckcuck L, Lunetta KL, Ma Y, Macías J, MacLeod CA, Maier W, Mangialasche F, Spallazzi M, Marquié M, Marshall R, Martin ER, Montes AM, Rodríguez CM, Masullo C, Mayeux R, Mead S, Mecocci P, Medina M, Meggy A, Mehrabian S, Mendoza S, Menéndez-González M, Mir P, Moebus S, Mol M, Molina-Porcel L, Montrreal L, Morelli L, Moreno F, Morgan K, Mosley T, Nöthen MM, Muchnik C, Mukherjee S, Nacmias B, Ngandu T, Nicolas G, Nordestgaard BG, Olaso R, Orellana A, Orsini M, Ortega G, Padovani A, Paolo C, Papenberg G, Parnetti L, Pasquier F, Pastor P, Peloso G, Pérez-Cordón A, Pérez-Tur J, Pericard P, Peters O, Pijnenburg YAL, Pineda JA, Piñol-Ripoll G, Pisanu C, Polak T, Popp J, Posthuma D, Priller J, Puerta R, Quenez O, Quintela I, Thomassen JQ, Rábano A, Rainero I, Rajabli F, Ramakers I, Real LM, Reinders MJT, Reitz C, Reyes-Dumeyer D, Ridge P, Riedel-Heller S, Riederer P, Roberto N, Rodriguez-Rodriguez E, Rongve A, Allende IR, Rosende-Roca M, Royo JL, Rubino E, Rujescu D, Sáez ME, Sakka P, Saltvedt I, Sanabria Á, Sánchez-Arjona MB, Sanchez-Garcia F, Juan PS, Sánchez-Valle R, Sando SB, Sarnowski C, Satizabal CL, Scamosci M, Scarmeas N, Scarpini E, Scheltens P, Scherbaum N, Scherer M, Schmid M, Schneider A, Schott JM, Selbæk G, Seripa D, Serrano M, Sha J, Shadrin AA, Skrobot O, Slifer S, Snijders GJL, Soininen H, Solfrizzi V, Solomon A, Song Y, Sorbi S, Sotolongo-Grau O, Spalletta G, Spottke A, Squassina A, Stordal E, Tartan JP, Tárraga L, Tesí N, Thalamuthu A, Thomas T, et al. NewView Related Profiles. PMID: 35379992; PMCID: PMC9005347; DOI: 10.1038/s41588-022-01024-z;
     
  6. Wang Y, Chen H, Peloso GM, Meigs JB, Beiser AS, Seshadri S, DeStefano AL, Dupuis J. Family history aggregation unit-based tests to detect rare genetic variant associations with application to the Framingham Heart Study. Am J Hum Genet. 2022 Apr 07; 109(4):738-749.View Related Profiles. PMID: 35316615; PMCID: PMC9069079; DOI: 10.1016/j.ajhg.2022.03.001;
     
  7. Peloso GM, Tcheandjieu C, McGeary JE, Posner DC, Ho YL, Zhou JJ, Hilliard AT, Joseph J, O'Donnell CJ, Efird JT, Crawford DC, Wu WC, Arjomandi M, Sun YV, Assimes TL, Huffman JE. Genetic Loci Associated With COVID-19 Positivity and Hospitalization in White, Black, and Hispanic Veterans of the VA Million Veteran Program. Front Genet. 2021; 12:777076.View Related Profiles. PMID: 35222515; PMCID: PMC8864634; DOI: 10.3389/fgene.2021.777076;
     
  8. Huffman JE, Butler-Laporte G, Khan A, Pairo-Castineira E, Drivas TG, Peloso GM, Nakanishi T, Ganna A, Verma A, Baillie JK, Kiryluk K, Richards JB, Zeberg H. Multi-ancestry fine mapping implicates OAS1 splicing in risk of severe COVID-19. Nat Genet. 2022 02; 54(2):125-127. PMID: 35027740; PMCID: PMC8837537; DOI: 10.1038/s41588-021-00996-8;
     
  9. Baradaran H, Peloso GM, Polak JF, Killiany RJ, Ghosh S, DeCarli CS, Thibault EG, Sperling RA, Johnson KA, Beiser A, Romero JR, Seshadri S. Association of Carotid Intima Media Thickening with Future Brain Region Specific Amyloid-ß Burden. J Alzheimers Dis. 2022; 89(1):223-232.View Related Profiles. PMID: 35871328
     
  10. Hindy G, Dornbos P, Chaffin MD, Liu DJ, Wang M, Selvaraj MS, Zhang D, Park J, Aguilar-Salinas CA, Antonacci-Fulton L, Ardissino D, Arnett DK, Aslibekyan S, Atzmon G, Ballantyne CM, Barajas-Olmos F, Barzilai N, Becker LC, Bielak LF, Bis JC, Blangero J, Boerwinkle E, Bonnycastle LL, Bottinger E, Bowden DW, Bown MJ, Brody JA, Broome JG, Burtt NP, Cade BE, Centeno-Cruz F, Chan E, Chang YC, Chen YI, Cheng CY, Choi WJ, Chowdhury R, Contreras-Cubas C, Córdova EJ, Correa A, Cupples LA, Curran JE, Danesh J, de Vries PS, DeFronzo RA, Doddapaneni H, Duggirala R, Dutcher SK, Ellinor PT, Emery LS, Florez JC, Fornage M, Freedman BI, Fuster V, Garay-Sevilla ME, García-Ortiz H, Germer S, Gibbs RA, Gieger C, Glaser B, Gonzalez C, Gonzalez-Villalpando ME, Graff M, Graham SE, Grarup N, Groop LC, Guo X, Gupta N, Han S, Hanis CL, Hansen T, He J, Heard-Costa NL, Hung YJ, Hwang MY, Irvin MR, Islas-Andrade S, Jarvik GP, Kang HM, Kardia SLR, Kelly T, Kenny EE, Khan AT, Kim BJ, Kim RW, Kim YJ, Koistinen HA, Kooperberg C, Kuusisto J, Kwak SH, Laakso M, Lange LA, Lee J, Lee J, Lee S, Lehman DM, Lemaitre RN, Linneberg A, Liu J, Loos RJF, Lubitz SA, Lyssenko V, Ma RCW, Martin LW, Martínez-Hernández A, Mathias RA, McGarvey ST, McPherson R, Meigs JB, Meitinger T, Melander O, Mendoza-Caamal E, Metcalf GA, Mi X, Mohlke KL, Montasser ME, Moon JY, Moreno-Macías H, Morrison AC, Muzny DM, Nelson SC, Nilsson PM, O'Connell JR, Orho-Melander M, Orozco L, Palmer CNA, Palmer ND, Park CJ, Park KS, Pedersen O, Peralta JM, Peyser PA, Post WS, Preuss M, Psaty BM, Qi Q, Rao DC, Redline S, Reiner AP, Revilla-Monsalve C, Rich SS, Samani N, Schunkert H, Schurmann C, Seo D, Seo JS, Sim X, Sladek R, Small KS, So WY, Stilp AM, Tai ES, Tam CHT, Taylor KD, Teo YY, Thameem F, Tomlinson B, Tsai MY, Tuomi T, Tuomilehto J, Tusié-Luna T, Udler MS, van Dam RM, Vasan RS, Viaud Martinez KA, Wang FF, Wang X, Watkins H, Weeks DE, Wilson JG, Witte DR, Wong TY, Yanek LR, Kathiresan S, Rader DJ, Rotter JI, Boehnke M, McCarthy MI, Willer CJ, Natarajan P, Flannick JA, Khera AV, Peloso GM. Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes. Am J Hum Genet. 2022 01 06; 109(1):81-96.View Related Profiles. PMID: 34932938; PMCID: PMC8764201; DOI: 10.1016/j.ajhg.2021.11.021;
     
Showing 10 of 123 results. Show More

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

Bar chart showing 123 publications over 16 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
20229

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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