Balliu Lab @ UCLA

Balliu Lab @ UCLA

Statistical Genetics and Functional Genomics

Publications

Complete list of my publications can be found on my Google Scholar profile.

Selected Work

* indicates equal contribution

  • Lu A, Thompson M, Gordon MG, Dahl A, Ye CJ, Zaitlen N, and Balliu B. Fast and powerful statistical method for context-specific QTL mapping in multi-context genomic studies. bioRxiv 2021; doi:https://doi.org/10.1101/2021.06.17.448889.

  • Thompson M, Gordon MG, Lu A, Tandon A, Halperin E, Gusev A, Ye CJ, Balliu B, Zaitlen N. Multi-context genetic modeling of transcriptional regulation resolves novel disease loci. Nat Commun 2022, https://doi.org/10.1038/s41467-022-33212-0.

  • Balliu B, Douglas C, Shenhav L, Wu A, Seok D, Hatzopoulou D, Congdon E, Craske M, Freimer N, Halperin E, Sankararaman S, Flint J. Personalized Mood Prediction from Patterns of Behavior Collected with Smartphones. MedRxiv 2022, doi: https://doi.org/10.1101/2022.10.12.22281007.

  • Balliu B*, Carcamo-Oribe I**, Gloudemans MJ, Nachun D, Durrant M, Ingelsson E, Quertermous T, Knowles JW, Montgomery S. An integrated approach to identify environmental modulators of genetic risk factors for complex traits. AJHG 2021, https://doi.org/10.1016/j.ajhg.2021.08.014.

  • Perez RK*, Gordon MG*, Subramaniam M*, Kim MC, Hartoularos G, Targ S , Sun Y , Lu A, Thompson M, Rappoport N, Dahl A, Lanata CM, Matloubian M, Maliskova L, Kwek S, Li T, Slyper M, Rozenblatt-Rosen O, Fong L, Dall’era M, Balliu B, Regev A, Yazdany J, Criswell L, Zaitlen N, Ye CJ. Single-cell RNA-seq reveals the cell-type-specific molecular and genetic associations to lupus. Science 2022; DOI: 10.1126/science.abf1970.

  • Gloudemans MJ*, Balliu B*, Nachun D, Quertermous T, Montgomery S, Ingelsson E, Knowles JW, Carcamo-Oribe I. Integration of genetic colocalizations with physiological and pharmacological perturbations identifies cardiometabolic disease genes. Genome Medicine 2022. https://doi.org/10.1186/s13073-022-01036-8.

  • Briscoe L, Balliu B, Sankararaman S, Halperin E; Garud N. Evaluating supervised and unsupervised background noise correction in human gut microbiome data. PLOS Comp Bio 2020. https://doi.org/10.1371/journal.pcbi.1009838.

  • Oliva et al. Wucher V, Gewirtz ADH, Cotter DJ, Parsana P, Kasela S, Balliu B, Vinuela A, Castel SE, Mohammadi P, Aguet F, Zou Y, Khramtsova EA, Skol AD, Garrido-Mart ́ın D, Reverter F, Brown A, Evans P, Gamazon ER, Payne A, Bonazzola R, Barbeira AN, Hamel AR, Martinez-Perez A, So- ria JS, Pierce BL, Stephens M, Eskin E, Dermitzakis EY, Segre AV, Im HK, Engelhardt BE, Ardlie KG, Montgomery SB, Battle AJ, Lappalainen T, Guig ́o R, Stranger BE. The impact of sex on gene expression across human tissues. Science 2020; 369(6509).

  • GTEx Consortium. The GTEx Consortium atlas of genetic regulatory effects across human tissues. Science 2020; 369(6509):1318-1330.

  • Gay NR, Gloudemans M, Antonio ML, Abell NS, Balliu B, Park Y, Martin AR, Musharoff S, Rao AS, Aguet F, Barbeira AN, Bonazzola R, Hormozdiari F, Ardlie KG, Brown CD, Im HK, Lappalainen T, Wen X, Montgomery SB, GTEx Consortium. Impact of admixture and ancestry on eQTL analysis and GWAS colocalization in GTEx. Genome Biology 2020; 21(233).

  • MoTrPAC Consortium. Molecular Transducers of Physical Activity Consortium (MoTrPAC): Mapping the Dynamic Responses to Exercise. Cell 2020; 181(7):1464-1474.

  • Contrepois K, Wu S, Moneghetti KJ, Hornburg D, Ahadi S, Tsai M, Metwally AA, Wei E, Lee- McMullen B, Quijada JV, Chen S, Christle JW, Ellenberger M, Balliu B, Taylor S, Durrant MG, Knowles DA, Choudhry H, Ashland M, Bahmani A, Enslen B, Amsallem M, Kobayashi Y, Avina M, Perelman D, Schu ̈ssler-Fiorenza RSM, Zhou W, Ashley EA, Montgomery SB, Chaib H, Haddad F, Snyder MP. Molecular Choreography of Acute Exercise. Cell 2020; 181(5):1112-1130.e16.

  • Balliu B, Durrant M, de Goede O, Abell N, Liu B, Gloudemans MJ, Cook NK, Smith KS, Knowles D, Pala M, Cucca F, Schlessinger D, Jaiswal S, Sabatti C, Lind L, Ingelsson E, Montgomery SB. Genetic regulation of gene expression and splicing during a 10-year period of human aging. Genome Biology 2019; 20(230). Balliu B, Houwing-Duistermaat JJ, and Boehringer S. Powerful testing via hierarchical linkage dis- equilibrium in haplotype association studies. Biometrical Journal 2019; 61(3):747-768.

  • Fresard L, Smail C, Ferraro NM, Teran NA, Li X, Smith KS, Bonner D, Kernohan KD, Marwaha S, Zappala Z, Balliu B, Davis JR, Liu B, Prybol CJ, Kohler JN, Zastrow DB, Reuter CM, Fisk DG, Grove ME, Davidson JM, Hartley T, Joshi R, Strober BJ, Utiramerur S, Lind L, Ingelsson E, Battle A, Bejerano G, Bernstein JA, Ashley EA, Boycott KM, Merker JD, Wheeler MT, Montgomery SB. Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts. Nature Medicine 2020; 25(6):911-919.

  • Liu B, Calton MA, Abell NS, Benchorin G, Gloudemans MJ, Chen M, Hu J, Li X, Balliu B, Bok D, Montgomery SB, Vollrath D. Genetic analyses of human fetal retinal pigment epithelium gene expres- sion suggest ocular disease mechanisms. Communications in Biology 2019; 2:186.

  • GTEx Consortium et al. Genetic effects on gene expression across human tissues. Nature 2017; 550:204-213.

  • Kukurba KR, Parsana P, Balliu B, Smith KS, Zappala Z, Knowles DA, Fav ́e M, Davis JR, Li X, Zhu X, Potash JB, Weissman MM, Shi J, Kundaje A, Levinson DF, Awadalla P, Mostafavi S, Battle A, Montgomery SB. Impact of X chromosome and sex on regulatory variation. Genome Research 2016; 26:768-777.

  • Balliu B and Zaitlen N (2016). A novel test for detecting gene-gene interactions in trio studies. Genetics; 202(4): 1289-97.

  • Tissier R, Uh H, van den Akker E, Balliu B, Tsonaka S, Houwing-Duistermaat J. Gene co-expression network analysis for family studies based on a meta-analytic approach. BMC Proceedings 2016; 10(16).

  • Balliu B, Tsonaka S, Boehringer S, and Houwing-Duistermaat JJ. A retrospective likelihood approach for efficient integration of multiple omics factors in case-control association studies. Genetic Epidemi- ology 2015; 39(3): 156-65.

  • Balliu B, Wurtz D, Horsthemke B, Wieczorekand D, and Boehringer S. Classification and visual- ization based on derived image features: application to genetic syndromes. PLoS One 2014; 9(11): e109033.

  • Balliu B, Uh H, Tsonaka R, Boehringer S, Helmer Q, and Houwing-Duistermaat JJ. Combining in- formation from linkage and association mapping for next generation sequencing longitudinal family data. BMC Proceedings 2014; 8(1): S34.

  • Houwing-Duistermaat JJ, Helmer Q, Balliu B, van den Akker E, Tsonaka S, Uh H. Gene analysis for longitudinal family data using random-effects models. BMC Proceedings 2014; 8(1): S88.

  • Chen H, Malzahn D, Balliu B, Li C, Bailey JN. Testing genetic association with rare and common variants in family data. Genetic Epidemiology 2014; 38 (1): S37-43.

  • Balliu B, Tsonaka R, van der Woude D, Boehringer S, and Houwing-Duistermaat JJ (2012). Combin- ing family and twin data in association studies to estimate the non-inherited maternal antigens effect. Genetic Epidemiology; 36(8): 811-819.