@article{yamamoto_huang_anholt_mackay_2024, title={Article The genetic basis of variation in Drosophila melanogaster mating behavior}, volume={27}, ISSN={["2589-0042"]}, DOI={10.1016/j.isci.2024.109837}, abstractNote={Mating behavior is an essential fitness trait. We used the inbred, sequenced lines of the}, number={5}, journal={ISCIENCE}, author={Yamamoto, Akihiko and Huang, Wen and Anholt, Robert R. H. and Mackay, Trudy F. C.}, year={2024}, month={May} }
 @article{yamamoto_huang_carbone_anholt_mackay_2024, title={The genetic basis of incipient sexual isolation in <i>Drosophila melanogaster</i>}, volume={291}, ISSN={["1471-2954"]}, DOI={10.1098/rspb.2024.0672}, abstractNote={Speciation is a fundamental evolutionary process but the genetic changes accompanying speciation are difficult to determine since true species do not produce viable and fertile offspring. Partially reproductively isolated incipient species are useful for assessing genetic changes that occur prior to speciation.}, number={2027}, journal={PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES}, author={Yamamoto, Akihiko and Huang, Wen and Carbone, Mary Anna and Anholt, Robert R. H. and Mackay, Trudy F. C.}, year={2024}, month={Jul} }
 @article{ozsoy_yilmaz_patlar_emecen_durmaz_magwire_zhou_huang_anholt_mackay_2021, title={Epistasis for head morphology in Drosophila melanogaster}, volume={11}, ISSN={["2160-1836"]}, DOI={10.1093/g3journal/jkab285}, abstractNote={Abstract
               Epistasis—gene–gene interaction—is common for mutations with large phenotypic effects in humans and model organisms. Epistasis impacts quantitative genetic models of speciation, response to natural and artificial selection, genetic mapping, and personalized medicine. However, the existence and magnitude of epistasis between alleles with small quantitative phenotypic effects are controversial and difficult to assess. Here, we use the Drosophila melanogaster Genetic Reference Panel of sequenced inbred lines to evaluate the magnitude of naturally occurring epistasis modifying the effects of mutations in jing and inv, two transcription factors that have subtle quantitative effects on head morphology as homozygotes. We find significant epistasis for both mutations and performed single marker genome-wide association analyses to map candidate modifier variants and loci affecting head morphology. A subset of these loci was significantly enriched for a known genetic interaction network, and mutations of the candidate epistatic modifier loci also affect head morphology.}, number={10}, journal={G3-GENES GENOMES GENETICS}, author={Ozsoy, Ergi D. and Yilmaz, Murat and Patlar, Bahar and Emecen, Guzin and Durmaz, Esra and Magwire, Michael M. and Zhou, Shanshan and Huang, Wen and Anholt, Robert R. H. and Mackay, Trudy F. C.}, year={2021}, month={Oct} }
 @article{baker_carbone_huang_anholt_mackay_2021, title={Genetic basis of variation in cocaine and methamphetamine consumption in outbred populations of Drosophila melanogaster}, volume={118}, ISSN={["0027-8424"]}, DOI={10.1073/pnas.2104131118}, abstractNote={Significance
          
            The use of cocaine and methamphetamine presents significant socioeconomic problems. However, identifying the genetic underpinnings that determine susceptibility to substance use is challenging in human populations. The fruit fly,
            Drosophila melanogaster
            , presents a powerful genetic model since we can control the genetic background and environment, 75% of disease-causing genes in humans have a fly counterpart, and flies—like humans—exhibit adverse effects upon cocaine and methamphetamine exposure. We showed that the genetic architecture underlying variation in voluntary cocaine and methamphetamine consumption differs between sexes and is dominated by variants in genes associated with connectivity and function of the nervous system. Results obtained from the
            Drosophila
            gene discovery model can guide studies on substance abuse susceptibility in human populations.
          }, number={23}, journal={PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA}, author={Baker, Brandon M. and Carbone, Mary Anna and Huang, Wen and Anholt, Robert R. H. and Mackay, Trudy F. C.}, year={2021}, month={Jun} }
 @article{huang_campbell_carbone_jones_unselt_anholt_mackay_2020, title={Context-dependent genetic architecture of Drosophila life span}, volume={18}, ISSN={["1545-7885"]}, DOI={10.1371/journal.pbio.3000645}, abstractNote={Understanding the genetic basis of variation in life span is a major challenge that is difficult to address in human populations. Evolutionary theory predicts that alleles affecting natural variation in life span will have properties that enable them to persist in populations at intermediate frequencies, such as late-life–specific deleterious effects, antagonistic pleiotropic effects on early and late-age fitness components, and/or sex- and environment-specific or antagonistic effects. Here, we quantified variation in life span in males and females reared in 3 thermal environments for the sequenced, inbred lines of the Drosophila melanogaster Genetic Reference Panel (DGRP) and an advanced intercross outbred population derived from a subset of DGRP lines. Quantitative genetic analyses of life span and the micro-environmental variance of life span in the DGRP revealed significant genetic variance for both traits within each sex and environment, as well as significant genotype-by-sex interaction (GSI) and genotype-by-environment interaction (GEI). Genome-wide association (GWA) mapping in both populations implicates over 2,000 candidate genes with sex- and environment-specific or antagonistic pleiotropic allelic effects. Over 1,000 of these genes are associated with variation in life span in other D. melanogaster populations. We functionally assessed the effects of 15 candidate genes using RNA interference (RNAi): all affected life span and/or micro-environmental variance of life span in at least one sex and environment and exhibited sex-and environment-specific effects. Our results implicate novel candidate genes affecting life span and suggest that variation for life span may be maintained by variable allelic effects in heterogeneous environments.}, number={3}, journal={PLOS BIOLOGY}, author={Huang, Wen and Campbell, Terry and Carbone, Mary Anna and Jones, W. Elizabeth and Unselt, Desiree and Anholt, Robert R. H. and Mackay, Trudy F. C.}, year={2020}, month={Mar} }
 @article{everett_huang_zhou_carbone_lyman_arya_geisz_ma_morgante_st armour_et al._2020, title={Gene expression networks in the Drosophila Genetic Reference Panel}, volume={30}, ISSN={["1549-5469"]}, DOI={10.1101/gr.257592.119}, abstractNote={A major challenge in modern biology is to understand how naturally occurring variation in DNA sequences affects complex organismal traits through networks of intermediate molecular phenotypes. This question is best addressed in a genetic mapping population in which all molecular polymorphisms are known and for which molecular endophenotypes and complex traits are assessed on the same genotypes. Here, we performed deep RNA sequencing of 200 Drosophila Genetic Reference Panel inbred lines with complete genome sequences and for which phenotypes of many quantitative traits have been evaluated. We mapped expression quantitative trait loci for annotated genes, novel transcribed regions, transposable elements, and microbial species. We identified host variants that affect expression of transposable elements, independent of their copy number, as well as microbiome composition. We constructed sex-specific expression quantitative trait locus regulatory networks. These networks are enriched for novel transcribed regions and target genes in heterochromatin and euchromatic regions of reduced recombination, as well as genes regulating transposable element expression. This study provides new insights regarding the role of natural genetic variation in regulating gene expression and generates testable hypotheses for future functional analyses.}, number={3}, journal={GENOME RESEARCH}, author={Everett, Logan J. and Huang, Wen and Zhou, Shanshan and Carbone, Mary Anna and Lyman, Richard F. and Arya, Gunjan H. and Geisz, Matthew S. and Ma, Junwu and Morgante, Fabio and St Armour, Genevieve and et al.}, year={2020}, month={Mar}, pages={485–496} }
 @article{parker_kohn_spirina_mcmillen_huang_mackay_2020, title={Genetic Basis of Increased Lifespan and Postponed Senescence in Drosophila melanogaster}, volume={10}, ISSN={["2160-1836"]}, DOI={10.1534/g3.120.401041}, abstractNote={AbstractLimited lifespan and senescence are near-universal phenomena. These quantitative traits exhibit variation in natural populations due to the segregation of many interacting loci and from environmental effects. Due to the complexity of the genetic control of lifespan and senescence, our understanding of the genetic basis of variation in these traits is incomplete. Here, we analyzed the pattern of genetic divergence between long-lived (O) Drosophila melanogaster lines selected for postponed reproductive senescence and unselected control (B) lines. We quantified the productivity of the O and B lines and found that reproductive senescence is maternally controlled. We therefore chose 57 candidate genes that are expressed in ovaries, 49 of which have human orthologs, and assessed the effects of RNA interference in ovaries and accessary glands on lifespan and reproduction. All but one candidate gene affected at least one life history trait in one sex or productivity week. In addition, 23 genes had antagonistic pleiotropic effects on lifespan and productivity. Identifying evolutionarily conserved genes affecting increased lifespan and delayed reproductive senescence is the first step toward understanding the evolutionary forces that maintain segregating variation at these loci in nature and may provide potential targets for therapeutic intervention to delay senescence while increasing lifespan.}, number={3}, journal={G3-GENES GENOMES GENETICS}, author={Parker, Grace A. and Kohn, Nathan and Spirina, Ally and McMillen, Anna and Huang, Wen and Mackay, Trudy F. C.}, year={2020}, month={Mar}, pages={1087–1098} }
 @article{yanagawa_huang_yamamoto_wada-katsumata_schal_mackay_2020, title={Genetic Basis of Natural Variation in Spontaneous Grooming in Drosophila melanogaster}, volume={10}, ISSN={["2160-1836"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85090276700&partnerID=MN8TOARS}, DOI={10.1534/g3.120.401360}, abstractNote={AbstractSpontaneous grooming behavior is a component of insect fitness. We quantified spontaneous grooming behavior in 201 sequenced lines of the Drosophila melanogaster Genetic Reference Panel and observed significant genetic variation in spontaneous grooming, with broad-sense heritabilities of 0.25 and 0.24 in females and males, respectively. Although grooming behavior is highly correlated between males and females, we observed significant sex by genotype interactions, indicating that the genetic basis of spontaneous grooming is partially distinct in the two sexes. We performed genome-wide association analyses of grooming behavior, and mapped 107 molecular polymorphisms associated with spontaneous grooming behavior, of which 73 were in or near 70 genes and 34 were over 1 kilobase from the nearest gene. The candidate genes were associated with a wide variety of gene ontology terms, and several of the candidate genes were significantly enriched in a genetic interaction network. We performed functional assessments of 29 candidate genes using RNA interference, and found that 11 affected spontaneous grooming behavior. The genes associated with natural variation in Drosophila grooming are involved with glutamate metabolism (Gdh) and transport (Eaat); interact genetically with (CCKLR-17D1) or are in the same gene family as (PGRP-LA) genes previously implicated in grooming behavior; are involved in the development of the nervous system and other tissues; or regulate the Notch and Epidermal growth factor receptor signaling pathways. Several DGRP lines exhibited extreme grooming behavior. Excessive grooming behavior can serve as a model for repetitive behaviors diagnostic of several human neuropsychiatric diseases.}, number={9}, journal={G3-GENES GENOMES GENETICS}, author={Yanagawa, Aya and Huang, Wen and Yamamoto, Akihiko and Wada-Katsumata, Ayako and Schal, Coby and Mackay, Trudy F. C.}, year={2020}, month={Sep}, pages={3453–3460} }
 @article{huang_carbone_lyman_anholt_mackay_2020, title={Genotype by environment interaction for gene expression in Drosophila melanogaster}, volume={11}, ISSN={["2041-1723"]}, DOI={10.1038/s41467-020-19131-y}, abstractNote={AbstractThe genetics of phenotypic responses to changing environments remains elusive. Using whole-genome quantitative gene expression as a model, here we study how the genetic architecture of regulatory variation in gene expression changed in a population of fully sequenced inbred Drosophila melanogaster strains when flies developed in different environments (25 °C and 18 °C). We find a substantial fraction of the transcriptome exhibited genotype by environment interaction, implicating environmentally plastic genetic architecture of gene expression. Genetic variance in expression increases at 18 °C relative to 25 °C for most genes that have a change in genetic variance. Although the majority of expression quantitative trait loci (eQTLs) for the gene expression traits in the two environments are shared and have similar effects, analysis of the environment-specific eQTLs reveals enrichment of binding sites for two transcription factors. Finally, although genotype by environment interaction in gene expression could potentially disrupt genetic networks, the co-expression networks are highly conserved across environments. Genes with higher network connectivity are under stronger stabilizing selection, suggesting that stabilizing selection on expression plays an important role in promoting network robustness.}, number={1}, journal={NATURE COMMUNICATIONS}, author={Huang, Wen and Carbone, Mary Anna and Lyman, Richard F. and Anholt, Robert R. H. and Mackay, Trudy F. C.}, year={2020}, month={Oct} }
 @article{morgante_huang_sorensen_maltecca_mackay_2020, title={Leveraging Multiple Layers of Data To Predict Drosophila Complex Traits}, volume={10}, ISSN={["2160-1836"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85097210372&partnerID=MN8TOARS}, DOI={10.1534/g3.120.401847}, abstractNote={Abstract
               The ability to accurately predict complex trait phenotypes from genetic and genomic data are critical for the implementation of personalized medicine and precision agriculture; however, prediction accuracy for most complex traits is currently low. Here, we used data on whole genome sequences, deep RNA sequencing, and high quality phenotypes for three quantitative traits in the ∼200 inbred lines of the Drosophila melanogaster Genetic Reference Panel (DGRP) to compare the prediction accuracies of gene expression and genotypes for three complex traits. We found that expression levels (r = 0.28 and 0.38, for females and males, respectively) provided higher prediction accuracy than genotypes (r = 0.07 and 0.15, for females and males, respectively) for starvation resistance, similar prediction accuracy for chill coma recovery (null for both models and sexes), and lower prediction accuracy for startle response (r = 0.15 and 0.14 for female and male genotypes, respectively; and r = 0.12 and 0.11, for females and male transcripts, respectively). Models including both genotype and expression levels did not outperform the best single component model. However, accuracy increased considerably for all the three traits when we included gene ontology (GO) category as an additional layer of information for both genomic variants and transcripts. We found strongly predictive GO terms for each of the three traits, some of which had a clear plausible biological interpretation. For example, for starvation resistance in females, GO:0033500 (r = 0.39 for transcripts) and GO:0032870 (r = 0.40 for transcripts), have been implicated in carbohydrate homeostasis and cellular response to hormone stimulus (including the insulin receptor signaling pathway), respectively. In summary, this study shows that integrating different sources of information improved prediction accuracy and helped elucidate the genetic architecture of three Drosophila complex phenotypes.}, number={12}, journal={G3-GENES GENOMES GENETICS}, author={Morgante, Fabio and Huang, Wen and Sorensen, Peter and Maltecca, Christian and Mackay, Trudy F. C.}, year={2020}, month={Dec}, pages={4599–4613} }
 @article{matute_comeault_earley_serrato-capuchina_peede_monroy-eklund_huang_jones_mackay_coyne_2020, title={Rapid and Predictable Evolution of Admixed Populations Between Two Drosophila Species Pairs}, volume={214}, ISSN={["1943-2631"]}, DOI={10.1534/genetics.119.302685}, abstractNote={AbstractIn this article, Matute et al. report an experiment in which they generated eight interspecific admixed populations using two species pairs of Drosophila. They found that in both species pairs, and across all experimental replicates...The consequences of hybridization are varied, ranging from the origin of new lineages, introgression of some genes between species, to the extinction of one of the hybridizing species. We generated replicate admixed populations between two pairs of sister species of Drosophila: D. simulans and D. mauritiana; and D. yakuba and D. santomea. Each pair consisted of a continental species and an island endemic. The admixed populations were maintained by random mating in discrete generations for over 20 generations. We assessed morphological, behavioral, and fitness-related traits from each replicate population periodically, and sequenced genomic DNA from the populations at generation 20. For both pairs of species, species-specific traits and their genomes regressed to those of the continental species. A few alleles from the island species persisted, but they tended to be proportionally rare among all sites in the genome and were rarely fixed within the populations. This paucity of alleles from the island species was particularly pronounced on the X-chromosome. These results indicate that nearly all foreign genes were quickly eliminated after hybridization and that selection against the minor species genome might be similar across experimental replicates.}, number={1}, journal={GENETICS}, author={Matute, Daniel R. and Comeault, Aaron A. and Earley, Eric and Serrato-Capuchina, Antonio and Peede, David and Monroy-Eklund, Anais and Huang, Wen and Jones, Corbin D. and Mackay, Trudy F. C. and Coyne, Jerry A.}, year={2020}, month={Jan}, pages={211–230} }
 @article{morgante_huang_maltecca_mackay_2018, title={Effect of genetic architecture on the prediction accuracy of quantitative traits in samples of unrelated individuals}, volume={120}, ISSN={["1365-2540"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85041836520&partnerID=MN8TOARS}, DOI={10.1038/s41437-017-0043-0}, abstractNote={Predicting complex phenotypes from genomic data is a fundamental aim of animal and plant breeding, where we wish to predict genetic merits of selection candidates; and of human genetics, where we wish to predict disease risk. While genomic prediction models work well with populations of related individuals and high linkage disequilibrium (LD) (e.g., livestock), comparable models perform poorly for populations of unrelated individuals and low LD (e.g., humans). We hypothesized that low prediction accuracies in the latter situation may occur when the genetics architecture of the trait departs from the infinitesimal and additive architecture assumed by most prediction models. We used simulated data for 10,000 lines based on sequence data from a population of unrelated, inbred Drosophila melanogaster lines to evaluate this hypothesis. We show that, even in very simplified scenarios meant as a stress test of the commonly used Genomic Best Linear Unbiased Predictor (G-BLUP) method, using all common variants yields low prediction accuracy regardless of the trait genetic architecture. However, prediction accuracy increases when predictions are informed by the genetic architecture inferred from mapping the top variants affecting main effects and interactions in the training data, provided there is sufficient power for mapping. When the true genetic architecture is largely or partially due to epistatic interactions, the additive model may not perform well, while models that account explicitly for interactions generally increase prediction accuracy. Our results indicate that accounting for genetic architecture can improve prediction accuracy for quantitative traits.}, number={6}, journal={HEREDITY}, author={Morgante, Fabio and Huang, Wen and Maltecca, Christian and Mackay, Trudy F. C.}, year={2018}, month={Jun}, pages={500–514} }
 @article{harbison_kumar_huang_mccoy_smith_mackay_2019, title={Genome-Wide Association Study of Circadian Behavior in Drosophila melanogaster}, volume={49}, ISSN={["1573-3297"]}, DOI={10.1007/s10519-018-9932-0}, abstractNote={Circadian rhythms influence physiological processes from sleep-wake cycles to body temperature and are controlled by highly conserved cycling molecules. Although the mechanistic basis of the circadian clock has been known for decades, the extent to which circadian rhythms vary in nature and the underlying genetic basis for that variation is not well understood. We measured circadian period (Ʈ) and rhythmicity index in the Drosophila Genetic Reference Panel (DGRP) and observed extensive genetic variation in both. Seven DGRP lines had sexually dimorphic arrhythmicity and one line had an exceptionally long Ʈ. Genome-wide analyses identified 584 polymorphisms in 268 genes. We observed differences among transcripts for nine genes predicted to interact among themselves and canonical clock genes in the long period line and a control. Mutations/RNAi knockdown targeting these genes also affected circadian behavior. Our observations reveal that complex genetic interactions influence high levels of variation in circadian phenotypes.}, number={1}, journal={BEHAVIOR GENETICS}, author={Harbison, Susan T. and Kumar, Shailesh and Huang, Wen and McCoy, Lenovia J. and Smith, Kirklin R. and Mackay, Trudy F. C.}, year={2019}, month={Jan}, pages={60–82} }
 @article{zhou_sun_huang_smol_tang_sun_2015, title={The Pacific decadal oscillation and changes in anchovy populations in the Northwest Pacific}, volume={114}, journal={Journal of Asian Earth Sciences}, author={Zhou, X. and Sun, Y. and Huang, W. and Smol, J. P. and Tang, Q. S. and Sun, L. G.}, year={2015}, pages={504–511} }
 @article{qin_sun_blais_wang_huang_huang_xie_2014, title={From sea to land: assessment of the bio-transport of phosphorus by penguins in Antarctica}, volume={32}, number={1}, journal={Chinese Journal of Oceanology and Limnology = Zhongguo Hai Yang Hu Zhao Xue Bao}, author={Qin, X. Y. and Sun, L. G. and Blais, J. M. and Wang, Y. H. and Huang, T. and Huang, W. and Xie, Z. Q.}, year={2014}, pages={148–154} }
 @article{huang_massouras_inoue_peiffer_ramia_tarone_turlapati_zichner_zhu_lyman_et al._2014, title={Natural variation in genome architecture among 205 Drosophila melanogaster Genetic Reference Panel lines}, volume={24}, number={7}, journal={Genome Research}, author={Huang, W. and Massouras, A. and Inoue, Y. and Peiffer, J. and Ramia, M. and Tarone, A. M. and Turlapati, L. and Zichner, T. and Zhu, D. H. and Lyman, R. F. and et al.}, year={2014}, pages={1193–1208} }
 @article{zhou_sun_huang_liu_jia_cheng_2014, title={Relationship between magnetic susceptibility and grain size of sediments in the China Seas and its implications}, volume={72}, journal={Continental Shelf Research}, author={Zhou, X. and Sun, L. G. and Huang, W. and Liu, Y. and Jia, N. and Cheng, W. H.}, year={2014}, pages={131–137} }
 @article{driver_huang_kropp_penagaricano_khatib_2013, title={Knockdown of CDKN1C (p57(kip2)) and PHLDA2 results in developmental changes in bovine pre-implantation embryos}, volume={8}, number={7}, journal={PLoS One}, author={Driver, A. M. and Huang, W. and Kropp, J. and Penagaricano, F. and Khatib, H.}, year={2013} }
 @article{wu_li_huang_li_li_2012, title={Alternative splicing regulated by butyrate in bovine epithelial cells}, volume={7}, number={6}, journal={PLoS One}, author={Wu, S. T. and Li, C. J. and Huang, W. and Li, W. Z. and Li, R. W.}, year={2012} }
 @article{zhou_sun_huang_cheng_jia_2012, title={Precipitation in the Yellow River drainage basin and East Asian monsoon strength on a decadal time scale}, volume={78}, number={3}, journal={Quaternary Research}, author={Zhou, X. and Sun, L. G. and Huang, W. and Cheng, W. H. and Jia, N.}, year={2012}, pages={486–491} }
 @article{ober_huang_magwire_schlather_simianer_mackay, title={Accounting for genetic architecture improves sequence based genomic prediction for a Drosophila fitness trait}, volume={10}, number={5}, journal={PLoS One}, author={Ober, U. and Huang, W. and Magwire, M. and Schlather, M. and Simianer, H. and Mackay, T. F. C.} }
 @article{swarup_huang_mackay_anholt, title={Analysis of natural variation reveals neurogenetic networks for Drosophila olfactory behavior}, volume={110}, number={3}, journal={Proceedings of the National Academy of Sciences of the United States of America}, author={Swarup, S. and Huang, W. and Mackay, T. F. C. and Anholt, R. R. H.}, pages={1017–1022} }
 @article{huang_richards_carbone_zhu_anholt_ayroles_duncan_jordan_lawrence_magwire_et al., title={Epistasis dominates the genetic architecture of Drosophila quantitative traits}, volume={109}, number={39}, journal={Proceedings of the National Academy of Sciences of the United States of America}, author={Huang, W. and Richards, S. and Carbone, M. A. and Zhu, D. H. and Anholt, R. R. H. and Ayroles, J. F. and Duncan, L. and Jordan, K. W. and Lawrence, F. and Magwire, M. M. and et al.}, pages={15553–15559} }
 @article{garlapow_everett_zhou_gearhart_fay_huang_morozova_arya_turlapati_st armour_et al., title={Genetic and genomic response to selection for food consumption in Drosophila melanogaster}, volume={47}, number={2}, journal={Behavior Genetics}, author={Garlapow, M. E. and Everett, L. J. and Zhou, S. S. and Gearhart, A. W. and Fay, K. A. and Huang, W. and Morozova, T. V. and Arya, G. H. and Turlapati, L. and St Armour, G. and et al.}, pages={227–243} }
 @article{dembeck_huang_magwire_lawrence_lyman_mackay, title={Genetic architecture of abdominal pigmentation in Drosophila melanogaster}, volume={11}, number={5}, journal={PLoS Genetics}, author={Dembeck, L. M. and Huang, W. and Magwire, M. M. and Lawrence, F. and Lyman, R. F. and Mackay, T. F. C.} }
 @article{dembeck_boroczky_huang_schal_anholt_mackay, title={Genetic architecture of natural variation in cuticular hydrocarbon composition in Drosophila melanogaster}, volume={4}, journal={Elife}, author={Dembeck, L. M. and Boroczky, K. and Huang, W. and Schal, C. and Anholt, R. R. H. and Mackay, T. F. C.} }
 @article{carbone_yamamoto_huang_lyman_meadors_yamamoto_anholt_mackay, title={Genetic architecture of natural variation in visual senescence in Drosophila}, volume={113}, number={43}, journal={Proceedings of the National Academy of Sciences of the United States of America}, author={Carbone, M. A. and Yamamoto, A. and Huang, W. and Lyman, R. A. and Meadors, T. B. and Yamamoto, R. and Anholt, R. R. H. and Mackay, T. F. C.}, pages={E6620–6629} }
 @article{dembeck_huang_carbone_mackay, title={Genetic basis of natural variation in body pigmentation in Drosophila melanogaster}, volume={9}, number={2}, journal={Fly}, author={Dembeck, L. M. and Huang, W. and Carbone, M. A. and Mackay, T. F. C.}, pages={75–81} }
 @article{huang_carbone_magwire_peiffer_lyman_stone_anholt_mackay, title={Genetic basis of transcriptome diversity in Drosophila melanogaster}, volume={112}, number={44}, journal={Proceedings of the National Academy of Sciences of the United States of America}, author={Huang, W. and Carbone, M. A. and Magwire, M. M. and Peiffer, J. A. and Lyman, R. F. and Stone, E. A. and Anholt, R. R. H. and Mackay, T. F. C.}, pages={E6010–6019} }
 @article{montgomery_vorojeikina_huang_mackay_anholt_rand, title={Genome-wide association analysis of tolerance to methylmercury toxicity in Drosophila implicates myogenic and neuromuscular developmental pathways}, volume={9}, number={10}, journal={PLoS One}, author={Montgomery, S. L. and Vorojeikina, D. and Huang, W. and Mackay, T. F. C. and Anholt, R. R. H. and Rand, M. D.} }
 @article{ellis_huang_quinn_ahuja_alfrejd_gomez_hjelmen_moore_mackay_johnston_et al., title={Intrapopulation genome size variation in D. melanogaster reflects life history variation and plasticity}, volume={10}, number={7}, journal={PLoS Genetics}, author={Ellis, L. L. and Huang, W. and Quinn, A. M. and Ahuja, A. and Alfrejd, B. and Gomez, F. E. and Hjelmen, C. E. and Moore, K. L. and Mackay, T. F. C. and Johnston, J. S. and et al.} }
 @article{morozova_huang_pray_whitham_anholt_mackay, title={Polymorphisms in early neurodevelopmental genes affect natural variation in alcohol sensitivity in adult drosophila}, volume={16}, journal={BMC Genomics}, author={Morozova, T. V. and Huang, W. and Pray, V. A. and Whitham, T. and Anholt, R. R. H. and Mackay, T. F. C.} }
 @article{garlapow_huang_yarboro_peterson_mackay, title={Quantitative genetics of food intake in Drosophila melanogaster}, volume={10}, number={9}, journal={PLoS One}, author={Garlapow, M. E. and Huang, W. and Yarboro, M. T. and Peterson, K. R. and Mackay, T. F. C.} }
 @article{huang_lyman_lyman_carbone_harbison_magwire_mackay, title={Spontaneous mutations and the origin and maintenance of quantitative genetic variation}, volume={5}, journal={Elife}, author={Huang, W. and Lyman, R. F. and Lyman, R. A. and Carbone, M. A. and Harbison, S. T. and Magwire, M. M. and Mackay, T. F. C.} }
 @inproceedings{zielinska_welk_mayhorn_murphy-hill, title={The Persuasive phish: examining the social psychological principles hidden in phishing emails}, booktitle={Symposium and Bootcamp on the Science of Security}, author={Zielinska, O. and Welk, A. and Mayhorn, C. B. and Murphy-Hill, E.}, pages={126–126} }
 @article{hunter_huang_mackay_singh, title={The genetic architecture of natural variation in recombination rate in Drosophila melanogaster}, volume={12}, number={4}, journal={PLoS Genetics}, author={Hunter, C. M. and Huang, W. and Mackay, T. F. C. and Singh, N. D.} }
 @article{arya_magwire_huang_serrano-negron_mackay_anholt, title={The genetic basis for variation in olfactory behavior in Drosophila melanogaster}, volume={40}, number={4}, journal={Chemical Senses}, author={Arya, G. H. and Magwire, M. M. and Huang, W. and Serrano-Negron, Y. L. and Mackay, T. F. C. and Anholt, R. R. H.}, pages={233–243} }
 @article{carnes_campbell_huang_butler_carbone_duncan_harbajan_king_peterson_weitzel_et al., title={The genomic basis of postponed senescence in Drosophila melanogaster}, volume={10}, number={9}, journal={PLoS One}, author={Carnes, M. U. and Campbell, T. and Huang, W. and Butler, D. G. and Carbone, M. A. and Duncan, L. H. and Harbajan, S. V. and King, E. M. and Peterson, K. R. and Weitzel, A. and et al.} }