Personal genomes: The case of the missing heritability

Transposable elements: targets for early nutritional effects on epigenetic gene regulation

Waterland, R. A., & Jirtle, R. L. (2003) · Molecular and Cellular Biology · doi:10.1128/mcb.23.15.5293-5300.2003 · Cited by 2,019

Large recurrent microdeletions associated with schizophrenia.

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Rare chromosomal deletions and duplications increase risk of schizophrenia

The International Schizophrenia Consortium (2008) · Nature · doi:10.1038/nature07239 · Cited by 1,475

Genetic Dissection of Transcriptional Regulation in Budding Yeast

Brem, R. B., Yvert, G., Clinton, R., & Kruglyak, L. (2002) · Science · doi:10.1126/science.1069516 · Cited by 1,392

Genome-wide association analysis identifies 20 loci that influence adult height

Initiative, D. G., Weedon, M. N., The Wellcome Trust Case Control Consortium, Cambridge GEM Consortium, Lango, H., Lindgren, C. M., Wallace, C., Evans, D. M., Mangino, M., Freathy, R. M., et al. (2008) · Nature Genetics · doi:10.1038/ng.121 · Cited by 826

Many sequence variants affecting diversity of adult human height

Gudbjartsson, D. F., Walters, G. B., Þorleifsson, G., Stefánsson, H., Halldórsson, B. V., Zusmanovich, P., Sulem, P., Thorlacius, S., Gylfason, A., Steinberg, S., et al. (2008) · Nature Genetics · doi:10.1038/ng.122 · Cited by 675

The genetics of autistic disorders and its clinical relevance: a review of the literature

Freitag, C. M. (2007) · Molecular Psychiatry · doi:10.1038/sj.mp.4001896 · Cited by 638

Identification of ten loci associated with height highlights new biological pathways in human growth

Initiative, T. D. G., Lettre, G., FUSION, KORA, The Prostate, L. C. A. O. C. S. T., Study, T. N. H., SardiNIA, Jackson, A., Gieger, C., Schumacher, F. R., et al. (2008) · Nature Genetics · doi:10.1038/ng.125 · Cited by 599

Population-based resequencing of ANGPTL4 uncovers variations that reduce triglycerides and increase HDL

Romeo, S., Pennacchio, L. A., Fu, Y., Boerwinkle, E., Tybjaerg-Hansen, A., Hobbs, H. H., & Cohen, J. C. (2007) · Nature Genetics · doi:10.1038/ng1984 · Cited by 511

Sizing up human height variation

Visscher, P. M. (2008) · Nature Genetics · doi:10.1038/ng0508-489 · Cited by 474

A genome‐wide association and replication study of blood pressure in Ugandan early adolescents

Lule, S. A., Mentzer, A. J., Namara, B. G., Muwenzi, A. G., Nassanga, B., Kizito, D., Akurut, H., Lubyayi, L., Tumusiime, J., Zziwa, C., et al. (2019) · Molecular Genetics & Genomic Medicine · doi:10.1002/mgg3.950 · Cited by 22

Use of the Multivariate Discriminant Analysis for Genome-Wide Association Studies in Cattle

Manca, E., Cesarani, A., Gaspa, G., Sorbolini, S., Macciotta, N. P. P., & Dimauro, C. (2020) · Animals · doi:10.3390/ani10081300 · Cited by 22

GWAS findings improved genomic prediction accuracy of lipid profile traits: Tehran Cardiometabolic Genetic Study

Akbarzadeh, M., Dehkordi, S. R., Roudbar, M. A., Sargolzaei, M., Guity, K., Sedaghati-khayat, B., Riahi, P., Azizi, F., & DANESHPOUR, M. S. (2021) · Scientific Reports · doi:10.1038/s41598-021-85203-8 · Cited by 22

Dearth of polymorphism associated with a sustained response to selection for flowering time in maize

Durand, É., Tenaillon, M. I., Raffoux, X., Thépot, S., Falque, M., Jamin, P., Bourgais, A., Ressayre, A., & Dillmann, C. (2015) · BMC Evolutionary Biology · doi:10.1186/s12862-015-0382-5 · Cited by 21

An assessment of gene-by-gene interactions as a tool to unfold missing heritability in dyslexia

Mascheretti, S., Bureau, A., Trezzi, V., Giorda, R., & Marino, C. (2015) · Human Genetics · doi:10.1007/s00439-015-1555-4 · Cited by 22

Genomic Architecture of Pharmacological Efficacy and Adverse Events

Chhibber, A., Kroetz, D. L., Tantisira, K. G., McGeachie, M. J., Cheng, C., Plenge, R. M., Stahl, E. A., Sadée, W., Ritchie, M. D., & Pendergrass, S. A. (2014) · Pharmacogenomics · doi:10.2217/pgs.14.144 · Cited by 22

Population‐based and family‐based designs to analyze rare variants in complex diseases

Kazma, R., & Bailey, J. N. (2011) · Genetic Epidemiology · doi:10.1002/gepi.20648 · Cited by 22

The genetics of common kidney disease: a pathway toward clinical relevance

Drawz, P. E., & Sedor, J. R. (2011) · Nature Reviews Nephrology · doi:10.1038/nrneph.2011.85 · Cited by 22

Novel common and rare genetic determinants of paraoxonase activity: FTO, SERPINA12, and ITGAL

Kim, D. S., Burt, A., Crosslin, D. R., Robertson, P. D., Ranchalis, J., Boyko, E. J., Nickerson, D. A., Furlong, C. E., & Jarvik, G. P. (2012) · Journal of Lipid Research · doi:10.1194/jlr.p033266 · Cited by 22

Genetic Variants in the Insulin-like Growth Factor Pathway and Colorectal Cancer Risk in the Netherlands Cohort Study

Simons, C. C. J. M., Schouten, L. J., Godschalk, R., van Engeland, M., van den Brandt, P. A., van Schooten, F., & Weijenberg, M. P. (2015) · Scientific Reports · doi:10.1038/srep14126 · Cited by 22

Health, wealth and behavioural change: an exploration of role responsibilities in the wake of epigenetics

Vears, D. F., & D’Abramo, F. (2017) · Journal of Community Genetics · doi:10.1007/s12687-017-0315-7 · Cited by 22

Genetic counseling, 2030: An on‐demand service tailored to the needs of a price conscious, genetically literate, and busy world

Rashkin, M. D., Bowes, J., Dunaway, K. W., Dhaliwal, J. K., Loomis, E. W., Riffle, S., Washington, N. L., Ziegler, C., Lu, J. T., & Levin, E. (2019) · Journal of Genetic Counseling · doi:10.1002/jgc4.1123 · Cited by 23

The Meaning of “Cause” in GeneticsPreprint

Lynch, K. E. (2021) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a040519 · Cited by 23

A genome-wide association study identifies major loci affecting the immune response against infectious bronchitis virus in chicken

Luo, C., Qu, H., Ma, J., Wang, J., Hu, X., Li, N., & Shu, D. (2013) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2013.12.004 · Cited by 21

Polygenic Modeling of Genome-Wide Association Studies: An Application to Prostate and Breast Cancer

Witte, J. S., & Hoffmann, T. J. (2011) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2010.0090 · Cited by 21

The search for modifier genes in Huntington disease – Multifactorial aspects of a monogenic disorder

Arning, L. (2016) · Molecular and Cellular Probes · doi:10.1016/j.mcp.2016.06.006 · Cited by 21

Histories and Meanings of Epigenetics

Buklijaš, T. (2017) · Palgrave Macmillan UK eBooks · doi:10.1057/978-1-137-52879-7_8 · Cited by 21

Association between PPARG genetic polymorphisms and ischemic stroke risk in a northern Chinese Han population: a case-control study

He, Z., Wang, Y., Zhang, H., Liu, F., Li, L., & Deng, S. (2019) · Neural Regeneration Research · doi:10.4103/1673-5374.259621 · Cited by 21

Significance Levels in Genome-Wide Interaction Analysis (GWIA)

Becker, T., Herold, C., Meesters, C., Mattheisen, M., & Baur, M. P. (2010) · Annals of Human Genetics · doi:10.1111/j.1469-1809.2010.00610.x · Cited by 21

Body size, physical activity, genetic variants in the insulin-like growth factor pathway and colorectal cancer risk

Simons, C. C. J. M., Schouten, L. J., Godschalk, R., van Engeland, M., van den Brandt, P. A., van Schooten, F., & Weijenberg, M. P. (2015) · Carcinogenesis · doi:10.1093/carcin/bgv077 · Cited by 21

Comparison of haplotype-based statistical tests for disease association with rare and common variants

Datta, A. S., & Biswas, S. (2015) · Briefings in Bioinformatics · doi:10.1093/bib/bbv072 · Cited by 21

Genetic architecture of cognitive traits

Hellard, S. L., & Steen, V. M. (2014) · Scandinavian Journal of Psychology · doi:10.1111/sjop.12112 · Cited by 21

Explaining the heritability of an ecologically significant trait in terms of individual quantitative trait loci

Scoville, A., Lee, Y. W., Willis, J. H., & Kelly, J. K. (2011) · Biology Letters · doi:10.1098/rsbl.2011.0409 · Cited by 21

Predicting Risk and the Emergence of Schizophrenia

Clarke, M. C., Kelleher, I., Clancy, M., & Cannon, M. D. (2012) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2012.06.003 · Cited by 22

UPC++ for bioinformatics: A case study using genome-wide association studies

Kässens, J. C., González‐Domínguez, J., Wienbrandt, L., & Schmidt, B. (2014) · IEEE International Conference on Cluster Computing (CLUSTER) · doi:10.1109/cluster.2014.6968770 · Cited by 21

Genetic prediction of common diseases. Still no help for the clinical diabetologist!

Prudente, S., Dallapiccola, B., Pellegrini, F., Doria, A., & Trischitta, V. (2012) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2012.04.010 · Cited by 20

LAMPLINK: detection of statistically significant SNP combinations from GWAS data

Terada, A., Yamada, R., Tsuda, K., & Sese, J. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw418 · Cited by 21

Parallel Pairwise Epistasis Detection on Heterogeneous Computing Architectures

González‐Domínguez, J., Ramos, S., Touriño, J., & Schmidt, B. (2015) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2015.2460247 · Cited by 21

Locally epistatic models for genome-wide prediction and association by importance sampling

Akdemir, D., Jannink, J., & Isidro-Sánchez, J. (2017) · Genetics Selection Evolution · doi:10.1186/s12711-017-0348-8 · Cited by 21

Genomic Diversity Evaluation of Populus trichocarpa Germplasm for Rare Variant Genetic Association Studies

Piot, A., Prunier, J., Isabel, N., Klápště, J., El-Kassaby, Y. A., Villarreal, J. C., & Porth, I. M. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2019.01384 · Cited by 22

Single gene disorders come into focus - again

Ropers, H. (2010) · Dialogues in Clinical Neuroscience · doi:10.1080/19585969.2022.12130781 · Cited by 21

Multiple, Single Trait GWAS and Supervised Machine Learning Reveal the Genetic Architecture of Fraxinus excelsior Tolerance to Ash Dieback in Europe

Doonan, J., Budde, K. B., Kosawang, C., Lobo, A., Verbylaitė, R., Brealey, J. C., Martin, M. D., Pliūra, A., Thomas, K., Konrad, H., et al. (2025) · Plant Cell & Environment · doi:10.1111/pce.15361 · Cited by 20

Leveraging Single-Cell Populations to Uncover the Genetic Basis of Complex Traits

Minow, M. A. A., Marand, A. P., & Schmitz, R. J. (2023) · Annual Review of Genetics · doi:10.1146/annurev-genet-022123-110824 · Cited by 23

Noncanonical inheritance of phenotypic information by protein amyloids

Eroglu, M., Zocher, T., McAuley, J., Webster, R., Xiao, M. Z. X., Yu, B., Mok, C. A., & Derry, W. B. (2024) · Nature Cell Biology · doi:10.1038/s41556-024-01494-9 · Cited by 27

Next generation modeling in GWAS: comparing different genetic architectures

de Maturana, E. L., Ibáñez‐Escriche, N., González-Recio, Ó., Marenne, G., Mehrban, H., Chanock, S. J., Goddard, M. E., & Malats, N. (2014) · Human Genetics · doi:10.1007/s00439-014-1461-1 · Cited by 20

A novel variational Bayes multiple locusZ-statistic for genome-wide association studies with Bayesian model averaging

Logsdon, B. A., Carty, C. L., Reiner, A. P., Dai, J. Y., & Kooperberg, C. L. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts261 · Cited by 19

Disease‐Concordant Twins Empower Genetic Association Studies

Tan, Q., Li, W., & Vandin, F. (2016) · Annals of Human Genetics · doi:10.1111/ahg.12181 · Cited by 20

SMMB: a stochastic Markov blanket framework strategy for epistasis detection in GWAS

Niel, C., Sinoquet, C., Christian Dina, C., & Rocheleau, G. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty154 · Cited by 20

Exploiting Genomic Knowledge in Optimising Molecular Breeding Programmes: Algorithms from Evolutionary Computing

O’Hagan, S., Knowles, J. D., & Kell, D. B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048862 · Cited by 20

An integrated approach to reduce the impact of minor allele frequency and linkage disequilibrium on variable importance measures for genome-wide data

Walters, R. K., Laurin, C., & Lubke, G. H. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts483 · Cited by 20

Conceptual Confusion: The case of EpigeneticsPreprint

Pisco, A. O., d’Hérouël, A. F., & Huang, S. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/053009 · Cited by 22

Genome-Wide Association Studies

Bush, W. S. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-809633-8.20232-x · Cited by 19

Bodies of the Anthropocene: On the interactive plasticity of earth systems and biological organisms

Meloni, M., Wakefield‐Rann, R., & Mansfield, B. (2021) · The Anthropocene Review · doi:10.1177/20530196211001517 · Cited by 21

Sex-specific longitudinal association of DNA methylation with lung function

Sunny, S. K., Zhang, H., Relton, C. L., Ring, S. M., Kadalayil, L., Mzayek, F., Ewart, S., Holloway, J. W., & Arshad, S. H. (2021) · ERJ Open Research · doi:10.1183/23120541.00127-2021 · Cited by 19

Phenome-Wide Association Studies: Embracing Complexity for Discovery

Pendergrass, S. A., Verma, A., Okula, A., Hall, M. A., Crawford, D. C., & Ritchie, M. D. (2015) · Human Heredity · doi:10.1159/000381851 · Cited by 21

Modeling interactions with known risk loci-a Bayesian model averaging approach

Ferreira, T. C., & Marchini, J. (2010) · Annals of Human Genetics · doi:10.1111/j.1469-1809.2010.00618.x · Cited by 20

Biology‐Driven Gene‐Gene Interaction Analysis of Age‐Related Cataract in the eMERGE Network

Hall, M. A., Verma, S. S., Wallace, J. R., Lucas, A., Berg, R. L., Connolly, J. J., Crawford, D. C., Crosslin, D. R., de Andrade, M., Doheny, K. F., et al. (2015) · Genetic Epidemiology · doi:10.1002/gepi.21902 · Cited by 19

Copy number variation prevalence in known asthma genes and their impact on asthma susceptibility

Rogers, A. J., Chu, J., Darvishi, K., Ionita‐Laza, I., Lehmann, H., Mills, R. E., Lee, C., & Raby, B. A. (2012) · Clinical & Experimental Allergy · doi:10.1111/cea.12060 · Cited by 19

Effect of Occupational Exposures on Lung Cancer Susceptibility: A Study of Gene–Environment Interaction Analysis

Malhotra, J. D., Sartori, S., Brennan, P., Zaridze, D. G., Szeszenia‐Dąbrowska, N., Świątkowska, B., Rudnai, P., Lissowska, J., Fabiánová, E., Mateș, D., et al. (2015) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-14-1143-t · Cited by 20

Power analysis for case–control association studies of samples with known family histories

Peng, B., Li, B., Han, Y., & Amos, C. I. (2010) · Human Genetics · doi:10.1007/s00439-010-0824-5 · Cited by 19

Functional outcome in major psychiatric disorders and associated clinical and psychosocial variables: A potential cross-diagnostic phenotype for further genetic investigations?

Gade, K., Malzahn, D., Anderson‐Schmidt, H., Strohmaier, J., Meier, S. M., Frank, J., Falkai, P., Rietschel, M., & Schulze, T. G. (2015) · The World Journal of Biological Psychiatry · doi:10.3109/15622975.2014.995221 · Cited by 21

Evolving Ecosystems: Inheritance and Selection in the Light of the Microbiome

Sandoval‐Motta, S., Aldana, M., & Frank, A. (2017) · Archives of Medical Research · doi:10.1016/j.arcmed.2018.01.002 · Cited by 21

Large-Scale Analysis of Genetic and Clinical Patient Data

Ritchie, M. D. (2018) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-080917-013508 · Cited by 22

Linear Mixed Models: Part I

Jiang, J., & Nguyen, T. D. (2021) · Springer series in statistics · doi:10.1007/978-1-0716-1282-8_1 · Cited by 20

The “missing heritability”—Problem in psychiatry: Is the interaction of genetics, epigenetics and transposable elements a potential solution?

van Calker, D., & Serchov, T. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.03.019 · Cited by 19

Accurate Imputation-Based Screening of Gln368Ter Myocilin Variant in Primary Open-Angle Glaucoma

Gharahkhani, P., Burdon, K. P., Hewitt, A. W., Law, M. H., Souzeau, E., Montgomery, G. W., Radford‐Smith, G. L., Mackey, D. A., Craig, J. E., & MacGregor, S. (2015) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.15-17305 · Cited by 19

Digging into the extremes: a useful approach for the analysis of rare variants with continuous traits?

Lamina, C. (2011) · BMC Proceedings · doi:10.1186/1753-6561-5-s9-s105 · Cited by 19

Haplotypes of common SNPs can explain missing heritability of complex diseasesPreprint

Bhatia, G., Gusev, A., Loh, P., Vilhjálmsson, B. J., Ripke, S., Purcell, S., Stahl, E. A., Daly, M. J., de Candia, T. R., Kendler, K. S., et al. (2015) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/022418 · Cited by 19

Missing heritability may be hiding in repeats

Gymrek, M., & Goren, A. (2021) · Science · doi:10.1126/science.abl7794 · Cited by 19

Gene–Environment Interactions in the Etiology of Human Violence

Laucht, M., Brandeis, D., & Zohsel, K. (2013) · Current Topics in Behavioral Neurosciences · doi:10.1007/7854_2013_260 · Cited by 18

Association Analysis of SP-SNPs and Avirulence Genes in Puccinia striiformis f. sp. tritici, the Wheat Stripe Rust Pathogen

Xia, C., Wang, M., Wan, A., Jiwan, D. A., See, D. R., & Chen, X. (2016) · American Journal of Plant Sciences · doi:10.4236/ajps.2016.71014 · Cited by 18

Genetic-variant hotspots and hotspot clusters in the human genome facilitating adaptation while increasing instability

Long, X., & Xue, H. (2021) · Human Genomics · doi:10.1186/s40246-021-00318-3 · Cited by 21

Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci

Turner, S., DUDEK, S. M., & Ritchie, M. D. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-12211-8_8 · Cited by 18

Predicting Signatures of “Synthetic Associations” and “Natural Associations” from Empirical Patterns of Human Genetic Variation

Chang, D., & Keinan, A. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002600 · Cited by 17

Genetics for clinicians: From candidate genes to whole genome scans (technological advances)

Bochud, M. (2012) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1016/j.beem.2011.09.001 · Cited by 19

Cells as irreducible wholes: the failure of mechanism and the possibility of an organicist revival

Denton, M. J., Kumaramanickavel, G., & Legge, M. (2011) · Biology & Philosophy · doi:10.1007/s10539-011-9285-z · Cited by 19

Learning Predictive Interactions Using Information Gain and Bayesian Network Scoring

Jiang, X., Jao, J., & Neapolitan, R. E. (2015) · PLoS ONE · doi:10.1371/journal.pone.0143247 · Cited by 19

A decade of progress on the genetic basis of coronary artery disease. Practical insights for the internist

Girelli, D., Piubelli, C., Martinelli, N., Corrocher, R., & Olivieri, O. (2017) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2017.03.019 · Cited by 18

A robust and unified framework for estimating heritability in twin studies using generalized estimating equations

Arbet, J., McGue, M. K., & Basu, S. (2020) · Statistics in Medicine · doi:10.1002/sim.8564 · Cited by 18

WISARD: workbench for integrated superfast association studies for related datasets

Lee, S., Choi, S., Qiao, D., Cho, M. H., Silverman, E. K., Park, T., & Won, S. (2018) · BMC Medical Genomics · doi:10.1186/s12920-018-0345-y · Cited by 18

Heritability of liver enzyme levels estimated from genome-wide SNP data

van Beek, J. H. D. A., Lubke, G. H., de Moor, M. H. M., Willemsen, G. A. H. M., de Geus, E. J. C., Hottenga, J., Walters, R. K., Smit, J. H., Penninx, B. W. J. H., & Boomsma, D. I. (2014) · European Journal of Human Genetics · doi:10.1038/ejhg.2014.259 · Cited by 18

Refined QTLs of osteoporosis-related traits by linkage analysis with genome-wide SNPs: Framingham SHARe

Karasik, D., Dupuis, J., Cho, K., Cupples, L. A., Zhou, Y., Kiel, D. P., & Demissie, S. (2010) · Bone · doi:10.1016/j.bone.2010.01.001 · Cited by 18

The Value of Statistical or Bioinformatics Annotation for Rare Variant Association With Quantitative Trait

Byrnes, A., Wu, M. C., Wright, F. A., Li, M., & Li, Y. (2013) · Genetic Epidemiology · doi:10.1002/gepi.21747 · Cited by 17

Loss of LDAH associated with prostate cancer and hearing loss

Currall, B., Chen, M., Sallari, R. C., Cotter, M. B., Wong, K. E., Robertson, N. G., Penney, K. L., Lunardi, A., Reschke, M., Hickox, A. E., et al. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy310 · Cited by 18

The genetics of depression: what information can new methodologic approaches provide?

Mitjans, M., & Arias, B. (2012) · Actas Españolas de Psiquiatría · Cited by 18

GWAS for psychiatric disease: is the framework built on a solid foundation?

Mitchell, K. J., & Porteous, D. J. (2009) · Molecular Psychiatry · doi:10.1038/mp.2009.17 · Cited by 18

Necessary advances in exercise genomics and likely pitfalls

Pitsiladis, Y. P., & Wang, G. (2011) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00172.2011 · Cited by 18

Jumping on the Train of Personalized Medicine: A Primer for Non-Geneticist Clinicians: Part 2. Fundamental Concepts in Genetic Epidemiology

Li, A., & Meyre, D. (2014) · Current Psychiatry Reviews · doi:10.2174/1573400510666140319235334 · Cited by 18

The Role of Gene-Environment Interaction in Mental Health and Susceptibility to the Development of Psychiatric Disorders

Assary, E., Vincent, J., Machlitt‐Northen, S., Keers, R., & Pluess, M. (2020) · Springer eBooks · doi:10.1007/978-3-030-35213-4_7 · Cited by 18

Developing a liquid capture chip to accelerate the genetic progress of cattle

Chen, Y., Guo, Y., Ge, F., Gao, H. J., Zhou, J., Wu, X., Qian, C., Wang, Z., Wang, Z., Zhu, B., et al. (2024) · Animal Research and One Health · doi:10.1002/aro2.58 · Cited by 17

Endophenotype 2.0: updated definitions and criteria for endophenotypes of psychiatric disorders, incorporating new technologies and findings

Liu, C., & Gershon, E. S. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03195-1 · Cited by 24

An “almost exhaustive” search‐based sequential permutation method for detecting epistasis in disease association studies

Ma, L., Assimes, T. L., Asadi, N. B., Iribarren, C., Quertermous, T., & Wong, W. H. (2010) · Genetic Epidemiology · doi:10.1002/gepi.20496 · Cited by 17

Inflammatory bowel disease aggregation in Utah kindreds

Guthery, S. L., Mineau, G. P., Pimentel, R., Williams, M. S., & Kerber, R. A. (2010) · Inflammatory Bowel Diseases · doi:10.1002/ibd.21390 · Cited by 17

The ‘Missing Heritability’ of Common Disorders: Should Health Researchers Care?

Chaufan, C., & Joseph, J. (2013) · International Journal of Health Services · doi:10.2190/hs.43.2.f · Cited by 18

Natural and Orthogonal Interaction Framework for Modeling Gene-Environment Interactions with Application to Lung Cancer

Ma, J., Xiao, F., Xiong, M., Andrew, A. S., Brenner, H., Duell, E. J., Haugen, A., Hoggart, C., Hung, R. J., Lazarus, P. J., et al. (2012) · Human Heredity · doi:10.1159/000339906 · Cited by 17

Single Nucleotide Polymorphism (SNP) Detection and Genotype Calling from Massively Parallel Sequencing (MPS) Data

Li, Y., Chen, W., Liu, E. Y., & Zhou, Y. (2012) · Statistics in Biosciences · doi:10.1007/s12561-012-9067-4 · Cited by 18

CCL3L1 copy number and susceptibility to malaria

Carpenter, D., Färnert, A., Rooth, I., Armour, J. A. L., & Shaw, M. (2012) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2012.03.021 · Cited by 17

A Comparison of Heritability Estimates by Classical Twin Modeling and Based on Genome-Wide Genetic Relatedness for Cardiac Conduction Traits

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Genome-wide association study and predictive ability for growth traits in Nellore cattle

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