Tamar Sofer
Secondary Faculty

Tamar Sofer

Assistant Professor in the Department of Biostatistics

Biostatistics

tsofer@hsph.harvard.edu


Overview

I am a biostatistical researcher focusing on genetic and omics analyses of diverse and complex populations. I did my PhD in Biostatistics at the Harvard T.H. Chan School of Public Health, and graduated at 2012. Then, I continued as a postdoctoral fellow there, and later became a research scientist at the Genetic Analysis Center at the University of Washington in Seattle. At UW, I worked on genetic association analyses in the Hispanic Community Health Study/Study of Latinos, and on analysis of whole genome sequencing data from the NHLBI's Trans-Omics in Precision Medicine initiative. In late 2017 I moved to BWH and Harvard University, where I continue to develop and implement methodology for genetic and omics analyses of sleep , cognitive, cardiopulmonary, and metabolic phenotypes, with the goal of understanding the genetic basis of such phenotypes, and how environmental exposures modify the pathways from genotypes to phenotypes. I extensively collaborate with minority population studies such as the Hispanic Community Health Study/Study of Latinos, the Multi-Ethnic Study of Atherosclerosis, the Jackson Heart Study, and more.

BSc, 03/2008, Mathematics
The Hebrew University of Jerusalem

PhD, 05/2012, Biostatistics
Harvard University


Bibliography

Whole Genome Analysis of Venous Thromboembolism: the Trans-Omics for Precision Medicine Program.

Seyerle AA, Laurie CA, Coombes BJ, Jain D, Conomos MP, Brody J, Chen MH, Gogarten SM, Beutel KM, Gupta N, Heckbert SR, Jackson RD, Johnson AD, Ko D, Manson JE, McKnight B, Metcalf GA, Morrison AC, Reiner AP, Sofer T, Tang W, Wiggins KL, Boerwinkle E, Andrade M, Gabriel SB, Gibbs RA, Laurie CC, Psaty BM, Vasan RS, Rice K, Kooperberg C, Pankow JS, Smith NL, Pankratz N.

Circ Genom Precis Med. 2023 Mar 24. e003532. PMID: 36960714

Association of Mitochondrial DNA Copy Number With Brain MRI Markers and Cognitive Function: A Meta-analysis of Community-Based Cohorts.

Zhang Y, Liu X, Wiggins KL, Kurniansyah N, Guo X, Rodrigue AL, Zhao W, Yanek LR, Ratliff SM, Pitsillides A, Aguirre Patiño JS, Sofer T, Arking DE, Austin TR, Beiser AS, Blangero J, Boerwinkle E, Bressler J, Curran JE, Hou L, Hughes TM, Kardia SL, Launer L, Levy D, Mosley TH, Nasrallah IM, Rich SS, Rotter JI, Seshadri S, Tarraf W, González KA, Ramachandran V, Yaffe K, Nyquist PA, Psaty BM, DeCarli CS, Smith JA, Glahn DC, González HM, Bis JC, Fornage M, Heckbert SR, Fitzpatrick AL, Liu C, Satizabal CL.

Neurology. 2023 Mar 16. PMID: 36927883

Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk.

Shrine N, Izquierdo AG, Chen J, Packer R, Hall RJ, Guyatt AL, Batini C, Thompson RJ, Pavuluri C, Malik V, Hobbs BD, Moll M, Kim W, Tal-Singer R, Bakke P, Fawcett KA, John C, Coley K, Piga NN, Pozarickij A, Lin K, Millwood IY, Chen Z, Li L, Wijnant SRA, Lahousse L, Brusselle G, Uitterlinden AG, Manichaikul A, Oelsner EC, Rich SS, Barr RG, Kerr SM, Vitart V, Brown MR, Wielscher M, Imboden M, Jeong A, Bartz TM, Gharib SA, Flexeder C, Karrasch S, Gieger C, Peters A, Stubbe B, Hu X, Ortega VE, Meyers DA, Bleecker ER, Gabriel SB, Gupta N, Smith AV, Luan J, Zhao JH, Hansen AF, Langhammer A, Willer C, Bhatta L, Porteous D, Smith BH, Campbell A, Sofer T, Lee J, Daviglus ML, Yu B, Lim E, Xu H, O'Connor GT, Thareja G, Albagha OME, Suhre K, Granell R, Faquih TO, Hiemstra PS, Slats AM, Mullin BH, Hui J, James A, Beilby J, Patasova K, Hysi P, Koskela JT, Wyss AB, Jin J, Sikdar S, Lee M, May-Wilson S, Pirastu N, Kentistou KA, Joshi PK, Timmers PRHJ, Williams AT, Free RC, Wang X, Morrison JL, Gilliland FD, Chen Z, Wang CA, Foong RE, Harris SE, Taylor A, Redmond P, Cook JP, Mahajan A, Lind L, Palviainen T, Lehtimäki T, Raitakari OT, Kaprio J, Rantanen T, Pietiläinen KH, Cox SR, Pennell CE, Hall GL, Gauderman WJ, Brightling C, Wilson JF, Vasankari T, Laitinen T, Salomaa V, Mook-Kanamori DO, Timpson NJ, Zeggini E, Dupuis J, Hayward C, Brumpton B, Langenberg C, Weiss S, Homuth G, Schmidt CO, Probst-Hensch N, Jarvelin MR, Morrison AC, Polasek O, Rudan I, Lee JH, Sayers I, Rawlins EL, Dudbridge F, Silverman EK, Strachan DP, Walters RG, Morris AP, London SJ, Cho MH, Wain LV, Hall IP, Tobin MD.

Nat Genet. 2023 Mar. 55(3):410-422. PMID: 36914875