Luke Jen O’Connor received his Ph.D. from the Bioinformatics and Integrative Genomics (BIG) program at Harvard Medical School in 2019, and he was a Schmidt Fellow/PI at the Broad Institute of MIT and Harvard. The O’Connor Lab focuses on the genetic architecture of common disease, on statistical methods development, and on the problem of translating genetic associations into biological insight.
DBMI Research Areas
Career Opportunities
Postdoctoral Fellows: Statistical genetics methods development
Transcriptome-wide characterization of genetic perturbations.
Authors: Nadig A, Replogle JM, Pogson AN, McCarroll SA, Weissman JS, Robinson EB, O'Connor LJ.
bioRxiv
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bioRxiv
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High-dimensional phenotyping to define the genetic basis of cellular morphology.
Authors: Tegtmeyer M, Arora J, Asgari S, Cimini BA, Nadig A, Peirent E, Liyanage D, Way GP, Weisbart E, Nathan A, Amariuta T, Eggan K, Haghighi M, McCarroll SA, O'Connor L, Carpenter AE, Singh S, Nehme R, Raychaudhuri S.
Nat Commun
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Nat Commun
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HAPNEST: efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes.
Authors: Wharrie S, Yang Z, Raj V, Monti R, Gupta R, Wang Y, Martin A, O'Connor LJ, Kaski S, Marttinen P, Palamara PF, Lippert C, Ganna A.
Bioinformatics
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Bioinformatics
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Extremely sparse models of linkage disequilibrium in ancestrally diverse association studies.
Authors: Salehi Nowbandegani P, Wohns AW, Ballard JL, Lander ES, Bloemendal A, Neale BM, O'Connor LJ.
Nat Genet
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Nat Genet
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Polygenic architecture of rare coding variation across 394,783 exomes.
Authors: Weiner DJ, Nadig A, Jagadeesh KA, Dey KK, Neale BM, Robinson EB, Karczewski KJ, O'Connor LJ.
Nature
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Nature
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Statistical and functional convergence of common and rare genetic influences on autism at chromosome 16p.
Authors: Weiner DJ, Ling E, Erdin S, Tai DJC, Yadav R, Grove J, Fu JM, Nadig A, Carey CE, Baya N, Bybjerg-Grauholm J, Berretta S, Macosko EZ, Sebat J, O'Connor LJ, Hougaard DM, Børglum AD, Talkowski ME, McCarroll SA, Robinson EB.
Nat Genet
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Nat Genet
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Shared components of heritability across genetically correlated traits.
Combining SNP-to-gene linking strategies to identify disease genes and assess disease omnigenicity.
Authors: Gazal S, Weissbrod O, Hormozdiari F, Dey KK, Nasser J, Jagadeesh KA, Weiner DJ, Shi H, Fulco CP, O'Connor LJ, Pasaniuc B, Engreitz JM, Price AL.
Nat Genet
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Nat Genet
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Partitioning gene-mediated disease heritability without eQTLs.
The distribution of common-variant effect sizes.
