Emmanuel Milot (UQTR)

Mawass, W., Mayer, F. M., & Milot, E. (2022). Genotype‐by‐environment interactions modulate the rate of microevolution in reproductive timing in humans. Evolution, 76(7), 1391-1405. https://doi.org/10.1111/evo.14504

Noël, J., Noël, S., Mailly, F., Granger, D., Lefebvre, J. F., Milot, E., & Séguin, D. (2022). Total allele count distribution (TAC curves) improves number of contributor estimation for complex DNA mixtures. Canadian Society of Forensic Science Journal, 55(3), 156-170. https://doi.org/10.1080/00085030.2022.2028359

Lavergne, L., Boivin, R., Baechler, S., Jeuniaux, P., Fiola, K., Séguin, D., ... & Milot, E. (2022). Determining the impact of unknown individuals in criminality using network analysis of DNA matches. Forensic Science International, 331, 111142. https://doi.org/10.1016/j.forsciint.2021.111142

Harding, T., Milot, E., Moreau, C., Lefebvre, J. F., Bournival, J. S., Vézina, H., ... & Labuda, D. (2020). Historical human remains identification through maternal and paternal genetic signatures in a founder population with extensive genealogical record. American Journal of Physical Anthropology, 171(4), 645-658. https://doi.org/10.1002/ajpa.24024 

Milot, E., Baechler, S., & Crispino, F. (2020). Must the random man be unrelated? A lingering misconception in forensic genetics. Forensic Science International: Synergy, 2, 35-40. https://doi.org/10.1016/j.fsisyn.2019.11.003

Nelson, D., Moreau, C., de Vriendt, M., Zeng, Y., Preuss, C., Vézina, H., ... & Gravel, S. (2018). Inferring transmission histories of rare alleles in population-scale genealogies. The American Journal of Human Genetics, 103(6), 893-906. https://doi.org/10.1016/j.ajhg.2018.10.017

Morrissey, M. B., Janeiro, M. J., Sparks, A. M., White, S., Pigeon, G., Teplitsky, C., ... & Milot, E. (2018). Into the wild—WAMBAM goes to Canada. Molecular Ecology 27, 1098–1102. https://doi.org/10.1111/mec.14510

Milot, E., Moreau, C., Gagnon, A., Cohen, A. A., Brais, B., & Labuda, D. (2017). Mother’s curse neutralizes natural selection against a human genetic disease over three centuries. Nature ecology & evolution, 1(9), 1400-1406. https://doi.org/10.1038/s41559-017-0276-6

Pelletier F, Pigeon G, Bergeron P, Mayer FM, Boisvert M, Reale D, Milot E (2017). Eco-evolutionary dynamics in a contemporary human population. Nature Communications 8, 15947. doi: 10.1038/ncomms15947.

Arbeev, K. G., Cohen, A. A., Arbeeva, L. S., Milot, E., Stallard, E., Kulminski, A. M., ... & Yashin, A. I. (2016). Optimal versus realized trajectories of physiological dysregulation in aging and their relation to sex-specific mortality risk. Frontiers in Public Health, 4, 3. https://doi.org/10.3389/fpubh.2016.00003

Li, Q., Wang, S., Milot, E., Bergeron, P., Ferrucci, L., Fried, L. P., & Cohen, A. A. (2015). Homeostatic dysregulation proceeds in parallel in multiple physiological systems. Aging cell, 14(6), 1103-1112. https://doi.org/10.1111/acel.12402

Crispino, F., Daoust, B., Lajeunesse, A., Milot, E., & Baechler, S. (2015). A new academic forensic science player in Canada. Canadian Society of Forensic Science Forum newsletter, 59, 7-13.

Cohen, A. A., Li, Q., Milot, E., Leroux, M., Faucher, S., Morissette-Thomas, V., ... & Ferrucci, L. (2015). Statistical distance as a measure of physiological dysregulation is largely robust to variation in its biomarker composition. PloS one, 10(4), e0122541. https://doi.org/10.1371/journal.pone.0122541

Milot, E., Courteau, J., Crispino, F., & Mailly, F. (2015). Inclusion probability with dropout: an operational formula. Forensic Science International: Genetics, 16, 71-76. https://doi.org/10.1016/j.fsigen.2014.11.023

Cohen, A. A., Milot, E., Li, Q., Bergeron, P., Poirier, R., Dusseault-Bélanger, F., ... & Ferrucci, L. (2015). Detection of a novel, integrative aging process suggests complex physiological integration. PloS one, 10(3), e0116489. https://doi.org/10.1371/journal.pone.0116489

Milot, E., Morissette-Thomas, V., Li, Q., Fried, L. P., Ferrucci, L., & Cohen, A. A. (2014). Trajectories of physiological dysregulation predicts mortality and health outcomes in a consistent manner across three populations. Mechanisms of ageing and development, 141, 56-63. https://doi.org/10.1016/j.mad.2014.10.001

Milot, E., Cohen, A. A., Vézina, F., Buehler, D. M., Matson, K. D., & Piersma, T. (2014). A novel integrative method for measuring body condition in ecological studies based on physiological dysregulation. Methods in Ecology and Evolution, 5(2), 146-155. https://doi.org/10.1111/2041-210X.12145

Bergeron, P., Milot, E., Mayer, F. M., Boisvert, M., Réale, D., & Pelletier, F. (2014). Solar Irradiance, Survival and Longevity in a Pre-industrial Human Population. Human Ecology, 42, 645-650. https://doi.org/10.1007/s10745-014-9671-7

Morrisette-Thomas, V., Cohen, A. A., Fülöp, T., Riesco, É., Legault, V., Li, Q., ... & Ferrucci, L. (2014). Inflamm-aging does not simply reflect increases in pro-inflammatory markers. Mechanisms of ageing and development, 139, 49-57. https://doi.org/10.1016/j.mad.2014.06.005

Cohen, A. A., Milot, E., Li, Q., Legault, V., Fried, L. P., & Ferrucci, L. (2014). Cross-population validation of statistical distance as a measure of physiological dysregulation during aging. Experimental gerontology, 57, 203-210. https://doi.org/10.1016/j.exger.2014.04.016

Laurin, N., & Milot, E. (2014). Population genetic data of the AmpFℓSTR® Identifiler® Plus and PowerPlex® 16 HS STR loci in four Canadian populations. International journal of legal medicine, 128, 277-278. https://doi.org/10.1007/s00414-013-0899-3

Milot, E., & Pelletier, F. (2013). Human evolution: new playgrounds for natural selection. Current Biology, 23(10), R446-R448. https://doi.org/10.1016/j.cub.2013.04.021

Cohen, A. A., Milot, E., Yong, J., Seplaki, C. L., Fülöp, T., Bandeen-Roche, K., & Fried, L. P. (2013). A novel statistical approach shows evidence for multi-system physiological dysregulation during aging. Mechanisms of ageing and development, 134(3-4), 110-117. https://doi.org/10.1016/j.mad.2013.01.004

Milot, E., Perrier, C., Papillon, L., Dodson, J. J., & Bernatchez, L. (2013). Reduced fitness of A tlantic salmon released in the wild after one generation of captive breeding. Evolutionary applications, 6(3), 472-485. https://doi.org/10.1111/eva.12028

Milot, E., Lecomte, M. M., Germain, H., & Crispino, F. (2013). The national DNA data bank of Canada: a Quebecer perspective. Frontiers in Genetics, 4, 249. https://doi.org/10.3389/fgene.2013.00249

Gauthier, G., Milot, E., & Weimerskirch, H. (2012). Estimating dispersal, recruitment and survival in a biennially breeding species, the Wandering Albatross. Journal of Ornithology, 152, 457-467. https://doi.org/10.1007/s10336-010-0541-9

Milot, E., Mayer, F. M., Nussey, D. H., Boisvert, M., Pelletier, F., & Réale, D. (2011). Evidence for evolution in response to natural selection in a contemporary human population. Proceedings of the National Academy of Sciences, 108(41), 17040-17045. https://doi.org/10.1073/pnas.1104210108

Gauthier, G., Milot, E., & Weimerskirch, H. (2010). Small‐scale dispersal and survival in a long‐lived seabird, the wandering albatross. Journal of Animal Ecology, 79(4), 879-887. https://doi.org/10.1111/j.1365-2656.2010.01683.x

Lecomte, N., Gauthier, G., Giroux, J. F., Milot, E., & Bernatchez, L. (2009). Tug of war between continental gene flow and rearing site philopatry in a migratory bird: the sex‐biased dispersal paradigm reconsidered. Molecular Ecology, 18(4), 593-602. https://doi.org/10.1111/j.1365-294X.2008.04067.x

Milot, E., Weimerskirch, H., & Bernatchez, L. (2008). The seabird paradox: dispersal, genetic structure and population dynamics in a highly mobile, but philopatric albatross species. Molecular Ecology, 17(7), 1658-1673. https://doi.org/10.1111/j.1365-294X.2008.03700.x

Milot, E., Weimerskirch, H., Duchesne, P., & Bernatchez, L. (2007). Surviving with low genetic diversity: the case of albatrosses. Proceedings of the Royal Society B: Biological Sciences, 274(1611), 779-787. https://doi.org/10.1098/rspb.2006.0221

Milot E. (2013, décembre), Estimation par simulation des taux de dropout attendus dans les combinaisons de profils génétiques (Estimation of expected dropout rates in DNA profile mixtures using simulations). Québec Forensic Sciences and Legal Medicine Laboratory.