Hints of hidden heritability in GWAS

Finding the missing heritability of complex diseases

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Common polygenic variation contributes to risk of schizophrenia and bipolar disorder

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Common SNPs explain a large proportion of the heritability for human height

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XV.—The Correlation between Relatives on the Supposition of Mendelian Inheritance.

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Missing heritability and strategies for finding the underlying causes of complex disease

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The investigation of linkage between a quantitative trait and a marker locus

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Estimation of effect size distribution from genome-wide association studies and implications for future discoveries

Park, J.-H., Wacholder, S., Gail, M. H., Peters, U., Jacobs, K. B., Chanock, S. J., & Chatterjee, N. (2010) · Nature Genetics · doi:10.1038/ng.610 · Cited by 678 · see citing works

The genetic interpretation of area under the ROC curve in genomic profiling

Wray, N. R., Yang, J., Goddard, M. E., & Visscher, P. M. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000864 · Cited by 334 · see citing works

Harnessing the information contained within genome-wide association studies to improve individual prediction of complex disease risk

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Reaching new heights: insights into the genetics of human stature

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GCTA: a tool for genome-wide complex trait analysis

Yang, J., Lee, S. H., Goddard, M. E., & Visscher, P. M. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.11.011 · Cited by 8,279 · see citing works

Rare and common variants: twenty arguments

Gibson, G. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3118 · Cited by 1,278 · see citing works

Chronic obstructive pulmonary disease

Christenson, S. A., Smith, B. M., Bafadhel, M., & Putcha, N. (2022) · The Lancet · doi:10.1016/s0140-6736(22)00470-6 · Cited by 1,240 · see citing works

The genetics of asthma and allergic disease: a 21st century perspective

Ober, C., & Yao, T. (2011) · Immunological Reviews · doi:10.1111/j.1600-065x.2011.01029.x · Cited by 698 · see citing works

Progress and promise of genome-wide association studies for human complex trait genetics

Stranger, B. E., Stahl, E. A., & Raj, T. (2011) · Genetics · doi:10.1534/genetics.110.120907 · Cited by 567 · see citing works

Age-Related Hearing LossPreprint

Bowl, M. R., & Dawson, S. J. (2018) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a033217 · Cited by 405 · see citing works

Genome-wide association studies for agronomical traits in a world wide spring barley collection

Pasam, R., Sharma, R. K., Malosetti, M., van Eeuwijk, F. A., Haseneyer, G., Kilian, B., & Graner, A. (2012) · BMC Plant Biology · doi:10.1186/1471-2229-12-16 · Cited by 401 · see citing works

The False-positive to False-negative Ratio in Epidemiologic Studies

Ioannidis, J. P. A., Tarone, R., & McLaughlin, J. K. (2011) · Epidemiology · doi:10.1097/ede.0b013e31821b506e · Cited by 321 · see citing works

ggbio: an R package for extending the grammar of graphics for genomic data

Yin, T., Cook, D., & Lawrence, M. (2012) · Genome biology · doi:10.1186/gb-2012-13-8-r77 · Cited by 308 · see citing works

Beyond Missing Heritability: Prediction of Complex Traits

Makowsky, R., Pajewski, N. M., Klimentidis, Y. C., Vazquez, A. I., Duarte, C. W., Allison, D. B., & Campos, G. D. L. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002051 · Cited by 253 · see citing works

Quantitative analysis of population-scale family trees with millions of relatives

Kaplanis, J., Gordon, A., Shor, T., Weissbrod, O., Geiger, D., Wahl, M., Gershovits, M., Markus, B., Sheikh, M., Gymrek, M., et al. (2018) · Science · doi:10.1126/science.aam9309 · Cited by 245 · see citing works

Genome-Wide Complex Trait Analysis (GCTA): Methods, Data Analyses, and Interpretations

Yang, J., Lee, S., Goddard, M. E., & Visscher, P. M. (2013) · Methods in molecular biology · doi:10.1007/978-1-62703-447-0_9 · Cited by 236 · see citing works

Genetics of coronary artery disease and myocardial infarction

Dai, X. (2016) · World Journal of Cardiology · doi:10.4330/wjc.v8.i1.1 · Cited by 226 · see citing works

Behavioral idiosyncrasy reveals genetic control of phenotypic variability

Ayroles, J. F., Buchanan, S. M., O’Leary, C., Skutt-Kakaria, K., Grenier, J. K., Clark, A. G., Hartl, D. L., & de Bivort, B. L. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1503830112 · Cited by 218 · see citing works

Heritability and Genetic Correlations Explained by Common SNPs for Metabolic Syndrome Traits

Vattikuti, S., Guo, J., & Chow, C. C. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002637 · Cited by 211 · see citing works

Gene–environment interactions in human disease: nuisance or opportunity?

Ober, C., & Vercelli, D. (2011) · Trends in Genetics · doi:10.1016/j.tig.2010.12.004 · Cited by 182 · see citing works

Genetics of type 2 diabetes: pathophysiologic and clinical relevance

Herder, C., & Roden, M. (2010) · European Journal of Clinical Investigation · doi:10.1111/j.1365-2362.2010.02454.x · Cited by 174 · see citing works

Regularized Machine Learning in the Genetic Prediction of Complex Traits

Okser, S., Pahikkala, T., Airola, A., Salakoski, T., Ripatti, S., & Aittokallio, T. A. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004754 · Cited by 156 · see citing works

Genome-wide association analysis reveals new targets for carotenoid biofortification in maize

Suwarno, W. B., Pixley, K. V., Palacios‐Rojas, N., Kaeppler, S. M., & Babu, R. (2015) · Theoretical and Applied Genetics · doi:10.1007/s00122-015-2475-3 · Cited by 148 · see citing works

Challenges and opportunities in genome-wide environmental interaction (GWEI) studies

Aschard, H., Lutz, S. M., Maus, B., Duell, E. J., Fingerlin, T. E., Chatterjee, N., Kraft, P. L., & Steen, K. V. (2012) · Human Genetics · doi:10.1007/s00439-012-1192-0 · Cited by 144 · see citing works

Clinical genetic testing for male factor infertility: current applications and future directions

Hotaling, J. M., & Carrell, D. T. (2014) · Andrology · doi:10.1111/j.2047-2927.2014.00200.x · Cited by 146 · see citing works

Spatiotemporal Distribution of Phenolamides and the Genetics of Natural Variation of Hydroxycinnamoyl Spermidine in Rice

Dong, X., Gao, Y., Chen, W., Wang, W., Gong, L., Liu, X., & Luo, J. (2015) · Molecular Plant · doi:10.1016/j.molp.2014.11.003 · Cited by 139 · see citing works

Polygenic Risk, Rapid Childhood Growth, and the Development of Obesity

Belsky, D. W., Moffitt, T. E., Houts, R., Bennett, G. G., Biddle, A. K., Blumenthal, J. A., Evans, J. P., Harrington, H., Sugden, K., Williams, B. S., et al. (2012) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/archpediatrics.2012.131 · Cited by 137 · see citing works

Child Development and Molecular Genetics: 14 Years Later

Plomin, R. J. (2012) · Child Development · doi:10.1111/j.1467-8624.2012.01757.x · Cited by 121 · see citing works

Rolling Out the Red (and Green) Carpet: Supporting Driver Decision Making in Automation-to-Manual Transitions

Eriksson, A., Petermeijer, S. M., Zimmermann, M., de Winter, J., Bengler, K. J., & Stanton, N. A. (2018) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2018.2883862 · Cited by 121 · see citing works

A Chronic Obstructive Pulmonary Disease Susceptibility Gene, FAM13A , Regulates Protein Stability of β-Catenin

Jiang, Z., Lao, T., Qiu, W., Polverino, F., Gupta, K., Guo, F., Mancini, J. D., Naing, Z. Z. C., Cho, M. H., Castaldi, P. J., et al. (2016) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201505-0999oc · Cited by 119 · see citing works

Asthma Genetics in the Post-GWAS Era

Ober, C. (2016) · Annals of the American Thoracic Society · doi:10.1513/annalsats.201507-459mg · Cited by 115 · see citing works

Genome to Phenome Mapping in Apple Using Historical Data

Migicovsky, Z., Gardner, K. M., Money, D., Sawler, J., Bloom, J. S., Moffett, P., Chao, C.-C. T., Schwaninger, H. R., Fazio, G., Zhong, G., et al. (2016) · The Plant Genome · doi:10.3835/plantgenome2015.11.0113 · Cited by 114 · see citing works

Lessons Learned From GWAS of Asthma

Kim, K. W., & Ober, C. (2019) · Allergy Asthma and Immunology Research · doi:10.4168/aair.2019.11.2.170 · Cited by 109 · see citing works

Genetic interaction networks: better understand to better predict

Boucher, B., & Jenna, S. (2013) · Frontiers in Genetics · doi:10.3389/fgene.2013.00290 · Cited by 105 · see citing works

Overexpression of ATP-activated P2X7 Receptors in the Intestinal Mucosa Is Implicated in the Pathogenesis of Crohnʼs Disease

Neves, A. R., Castelo-Branco, M. T. L., Figliuolo, V. R., Bernardazzi, C., Buongusto, F., Yoshimoto, A., Nanini, H. F., Coutinho, C. M. L. M., Carneiro, A. J. V., Coutinho-Silva, R., et al. (2014) · Inflammatory Bowel Diseases · doi:10.1097/01.mib.0000441201.10454.06 · Cited by 107 · see citing works

Immuno-Modulatory Effects of Intervertebral Disc Cells

Bermudez‐Lekerika, P., Crump, K. B., Tseranidou, S., Nüesch, A., Kanelis, E., Alminnawi, A., Baumgartner, L., Muñoz‐Moya, E., Compte, R., Gualdi, F., et al. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.924692 · Cited by 103 · see citing works

From Galton to GWAS: quantitative genetics of human height

Visscher, P. M., McEvoy, B., & Yang, J. (2010) · Genetics Research · doi:10.1017/s0016672310000571 · Cited by 98 · see citing works

Network-assisted analysis to prioritize GWAS results: principles, methods and perspectives

Jia, P., & Zhao, Z. (2013) · Human Genetics · doi:10.1007/s00439-013-1377-1 · Cited by 100 · see citing works

MicroRNAs in Alzheimer’s Disease: Function and Potential Applications as Diagnostic Biomarkers

Wei, W., Wang, Z.-Y., Ma, L.-N., Zhang, T.-T., Cao, Y., & Li, H. (2020) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2020.00160 · Cited by 102 · see citing works

Natural Genetic Variation for Acclimation of Photosynthetic Light Use Efficiency to Growth Irradiance in Arabidopsis

van Rooijen, R., Aarts, M. G. M., & Harbinson, J. (2015) · PLANT PHYSIOLOGY · doi:10.1104/pp.114.252239 · Cited by 98 · see citing works

Reading TE leaves: New approaches to the identification of transposable element insertionsPreprint

Ray, D. A., & Batzer, M. A. (2011) · Genome Research · doi:10.1101/gr.110528.110 · Cited by 96 · see citing works

The genetic basis for interindividual immune response variation to measles vaccine: new understanding and new vaccine approaches

Haralambieva, I. H., Ovsyannikova, I. G., Pankratz, V. S., Kennedy, R. B., Jacobson, R. M., & Poland, G. A. (2012) · Expert Review of Vaccines · doi:10.1586/erv.12.134 · Cited by 92 · see citing works

Genomics to systems biology in animal and veterinary sciences: Progress, lessons and opportunities

Kadarmideen, H. N. (2014) · Livestock Science · doi:10.1016/j.livsci.2014.04.028 · Cited by 91 · see citing works

To Identify Associations with Rare Variants, Just WHaIT: Weighted Haplotype and Imputation-Based Tests

Li, Y., Byrnes, A., & Li, M. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.10.014 · Cited by 86 · see citing works

The interface between genetics and psychology: lessons from developmental dyslexia

Bishop, D. (2015) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2014.3139 · Cited by 86 · see citing works

Evolutionarily Distinct BAHD N-acyltransferases are Responsible for Natural Variation of Aromatic Amine Conjugates in Rice

Meng, P., Gao, Y., Chen, W., Wang, W., Shen, S., Shi, J., Wang, C., Zhang, Y., Zou, L., Wang, S., et al. (2016) · The Plant Cell · doi:10.1105/tpc.16.00265 · Cited by 84 · see citing works

Driving Performance After Self-Regulated Control Transitions in Highly Automated Vehicles

Eriksson, A., & Stanton, N. A. (2017) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720817728774 · Cited by 83 · see citing works

A neurogenetics approach to understanding individual differences in brain, behavior, and risk for psychopathology

Bogdan, R., Hyde, L. W., & Hariri, A. R. (2012) · Molecular Psychiatry · doi:10.1038/mp.2012.35 · Cited by 82 · see citing works

YuGene: A simple approach to scale gene expression data derived from different platforms for integrated analyses

Cao, K. L., Rohart, F., McHugh, L. C., Korn, O., & Wells, C. A. (2014) · Genomics · doi:10.1016/j.ygeno.2014.03.001 · Cited by 79 · see citing works

Environmental Risk Score as a New Tool to Examine Multi-Pollutants in Epidemiologic Research: An Example from the NHANES Study Using Serum Lipid Levels

Park, S. K., Tao, Y., Meeker, J. D., Harlow, S. D., & Mukherjee, B. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098632 · Cited by 79 · see citing works

Genome-wide association studies of atrial fibrillation: past, present, and future

Sinner, M. F., Ellinor, P. T., Meitinger, T., Benjamin, E. J., & Kääb, S. (2011) · Cardiovascular Research · doi:10.1093/cvr/cvr001 · Cited by 79 · see citing works

A surge of <i>p</i> -values between 0.041 and 0.049 in recent decades (but negative results are increasing rapidly too)

de Winter, J. C., & Dodou, D. (2015) · PeerJ · doi:10.7717/peerj.733 · Cited by 78 · see citing works

Cross-Tissue and Tissue-Specific eQTLs: Partitioning the Heritability of a Complex Trait

Torres, J., Gamazon, E. R., Parra, E. J., Below, J. E., Valladares‐Salgado, A., Wacher, N. H., Cruz, M., Hanis, C. L., & Cox, N. J. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.10.001 · Cited by 73 · see citing works

Contribution of Genetics to the Susceptibility to Hidradenitis Suppurativa in a Large, Cross-sectional Dutch Twin Cohort

van Straalen, K. R., Prens, E. P., Willemsen, G. A. H. M., Boomsma, D. I., & van der Zee, H. H. (2020) · JAMA Dermatology · doi:10.1001/jamadermatol.2020.3630 · Cited by 77 · see citing works

Improving genetic risk prediction by leveraging pleiotropy

Li, C., Yang, C., Gelernter, J. E., & Zhao, H. (2013) · Human Genetics · doi:10.1007/s00439-013-1401-5 · Cited by 75 · see citing works

Personalized medicine: Genetic risk prediction of drug response

Zhang, G., & Nebert, D. W. (2017) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2017.02.036 · Cited by 78 · see citing works

Genome-Wide Association Mapping and Genomic Prediction Elucidate the Genetic Architecture of Morphological Traits in Arabidopsis

Kooke, R., Kruijer, W., Bours, R., Becker, F. F. M., Kuhn, A., van de Geest, H., Buntjer, J. B., Doeswijk, T. G., Guerra, J., Bouwmeester, H. J., et al. (2016) · PLANT PHYSIOLOGY · doi:10.1104/pp.15.00997 · Cited by 73 · see citing works

Control of Leaf Senescence by an MeOH-Jasmonates Cascade that Is Epigenetically Regulated by OsSRT1 in Rice

Fang, C., Zhang, H., Wan, J., Wu, Y., Li, K., Jin, C., Chen, W., Wang, S., Wang, W.-S., Zhang, H., et al. (2016) · Molecular Plant · doi:10.1016/j.molp.2016.07.007 · Cited by 76 · see citing works

Genome-wide association studies and genetic risk assessment of liver diseases

Krawczyk, M. J., Müllenbach, R., Weber, S. N., Zimmer, V., & Lammert, F. (2010) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2010.170 · Cited by 73 · see citing works

HLA ‐ DQ strikes again: Genome‐wide association study further confirms HLA ‐ DQ in the diagnosis of asthma among adults

Lasky-Su, J. A., Himes, B. E., Raby, B. A., Klanderman, B. J., Sylvia, J. S., Lange, C., Melén, E., Martínez, F. D., Israel, E., Gauderman, J., et al. (2012) · Clinical & Experimental Allergy · doi:10.1111/cea.12000 · Cited by 73 · see citing works

Hhip haploinsufficiency sensitizes mice to age-related emphysema

Lao, T., Jiang, Z., Yun, J. H., Qiu, W., Guo, F., Huang, C.-F., Mancini, J. D., Gupta, K., Laucho-Contreras, M. E., Naing, Z. Z. C., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1602342113 · Cited by 72 · see citing works

Heterogeneity of genetic architecture of body size traits in a free‐living population

Bérénos, C., Ellis, P. A., Pilkington, J. G., Lee, S., Gratten, J., & Pemberton, J. M. (2015) · Molecular Ecology · doi:10.1111/mec.13146 · Cited by 69 · see citing works

The genetics of childhood obesity and interaction with dietary macronutrients

Garver, W. S., Newman, S. B., Gonzales‐Pacheco, D., Castillo, J., Jelínek, D., Heidenreich, R. A., & Orlando, R. A. (2013) · Genes & Nutrition · doi:10.1007/s12263-013-0339-5 · Cited by 71 · see citing works

More Than the Sum of Its Parts: A Complex Epistatic Network Underlies Natural Variation in Thermal Preference Behavior in Caenorhabditis elegans

Gaertner, B. E., Parmenter, M. D., Rockman, M. V., Kruglyak, L., & Phillips, P. C. (2012) · Genetics · doi:10.1534/genetics.112.142877 · Cited by 71 · see citing works

Meta-Analysis of Heifer Traits Identified Reproductive Pathways in Bos indicus Cattle

Tahir, M. S., Neto, L. R. P., Gondro, C., Olasege, B. S., Wockner, K., Tan, W. L. A., Smith, H. R., Gouveia, G. C., Kour, J., & Fortes, M. R. S. (2021) · Genes · doi:10.3390/genes12050768 · Cited by 68 · see citing works

Genetics of Male Infertility

Hotaling, J. M. (2013) · Urologic Clinics of North America · doi:10.1016/j.ucl.2013.08.009 · Cited by 65 · see citing works

Genetics of rheumatoid arthritis: time for a change!

de Vries, R. (2011) · Current Opinion in Rheumatology · doi:10.1097/bor.0b013e3283457524 · Cited by 64 · see citing works

A UV-B-responsive glycosyltransferase, OsUGT706C2, modulates flavonoid metabolism in rice

Zhang, F., Guo, H., Huang, J., Yang, C., Li, Y., Wang, X., Qu, L., Liu, X., & Luo, J. (2020) · Science China Life Sciences · doi:10.1007/s11427-019-1604-3 · Cited by 63 · see citing works

The Role of Innate Immunity Receptors in the Pathogenesis of Inflammatory Bowel Disease

Elia, P. P., Tolentino, Y. F. M., Bernardazzi, C., & de Souza, H. S. P. (2015) · Mediators of Inflammation · doi:10.1155/2015/936193 · Cited by 61 · see citing works

Detecting rare and common variants for complex traits: sibpair and odds ratio weighted sum statistics (SPWSS, ORWSS)

Feng, T., Elston, R. C., & Zhu, X. (2011) · Genetic Epidemiology · doi:10.1002/gepi.20588 · Cited by 61 · see citing works

Variability of Primary Sjögren's Syndrome Is Driven by Interferon‐α and Interferon‐α Blood Levels Are Associated With the Class II HLA–DQ Locus

Trutschel, D., Bost, P., Xavier Mariette, A., Bondet, V., Llibre, A., Posseme, C., Charbit, B., Thorball, C., Jonsson, R., Lessard, C. J., et al. (2022) · Arthritis & Rheumatology · doi:10.1002/art.42265 · Cited by 58 · see citing works

Genetic variants and their interactions in disease risk prediction – machine learning and network perspectives

Okser, S., Pahikkala, T., & Aittokallio, T. A. (2013) · BioData Mining · doi:10.1186/1756-0381-6-5 · Cited by 61 · see citing works

Cichlid fishes as a model to understand normal and clinical craniofacial variation

Powder, K. E., & Albertson, R. C. (2015) · Developmental Biology · doi:10.1016/j.ydbio.2015.12.018 · Cited by 59 · see citing works

Cellular models to study bipolar disorder: A systematic review

Viswanath, B., Jose, S. P., Squassina, A., Thirthalli, J., Purushottam, M., Mukherjee, O., Vladimirov, V. I., Patrinos, G. P., Zompo, M. D., & Jain, S. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.05.037 · Cited by 58 · see citing works

High-throughput analysis of epistasis in genome-wide association studies with BiForce

Gyenesei, A., Moody, J., Semple, C. A. M., Haley, C., & Wei, W. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts304 · Cited by 58 · see citing works

A genome-wide association study combining pathway analysis for typical sporadic amyotrophic lateral sclerosis in Chinese Han populations

Xie, T., Deng, L., Mei, P., Zhou, Y., Wang, B., Zhang, J., Lin, J., Wei, Y., Zhang, X., & Xu, R. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.01.014 · Cited by 57 · see citing works

Pathway-based genetic analysis of preterm birth

Uzun, A., DeWan, A. T., Istrail, S., & Padbury, J. F. (2013) · Genomics · doi:10.1016/j.ygeno.2012.12.005 · Cited by 56 · see citing works

Insights into the genetic basis of type 2 diabetes

Kato, N. (2013) · Journal of Diabetes Investigation · doi:10.1111/jdi.12067 · Cited by 53 · see citing works

Linkage-Disequilibrium-Based Binning Affects the Interpretation of GWASs

Christoforou, A., Dondrup, M., Mattingsdal, M., Mattheisen, M., Giddaluru, S., Nöthen, M. M., Rietschel, M., Cichon, S., Djurovic, S., Andreassen, O. A., et al. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2012.02.025 · Cited by 54 · see citing works

Inflammasome in Intestinal Inflammation and Cancer

Nunes, T., & de Souza, H. S. P. (2013) · Mediators of Inflammation · doi:10.1155/2013/654963 · Cited by 53 · see citing works

Genetic studies of gestational duration and preterm birth

Zhang, G., Srivastava, A. K., Bačelis, J., Juodakis, J., Jacobsson, B., & Muglia, L. J. (2018) · Best Practice & Research Clinical Obstetrics & Gynaecology · doi:10.1016/j.bpobgyn.2018.05.003 · Cited by 54 · see citing works

Genetic risk factors for the development of pulmonary disease identified by genome‐wide association

Hall, R., Hall, I. P., & Sayers, I. (2018) · Respirology · doi:10.1111/resp.13436 · Cited by 52 · see citing works

The problems and promises of research into human immunology and autoimmune disease

Roep, B. O., Buckner, J. H., Sawcer, S. J., Toes, R. E. M., & Zipp, F. (2012) · Nature Medicine · doi:10.1038/nm.2626 · Cited by 51 · see citing works

Integrative pathway analysis of a genome-wide association study of V o 2maxresponse to exercise training

Ghosh, S., Vivar, J. C., Sarzynski, M. A., Sung, Y. J., Timmons, J. A., Bouchard, C., & Rankinen, T. (2013) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01487.2012 · Cited by 48 · see citing works

The combination of a genome-wide association study of lymphocyte count and analysis of gene expression data reveals novel asthma candidate genes

Cusanovich, D. A., Billstrand, C., Zhou, X., Chavarria, C. I., Leon, S. D., Michelini, K., Pai, A. A., Ober, C., & Gilad, Y. (2012) · Human Molecular Genetics · doi:10.1093/hmg/dds021 · Cited by 49 · see citing works

Natural variation in the OsbZIP18 promoter contributes to branched‐chain amino acid levels in rice

Sun, Y., Shi, Y., Liu, G., Yao, F., Zhang, Y., Yang, C., Guo, H., Liu, X., Jin, C., & Luo, J. (2020) · New Phytologist · doi:10.1111/nph.16800 · Cited by 48 · see citing works

Gene-nutrient interactions and susceptibility to human obesity

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Natural variation in the fast phase of chlorophyll a fluorescence induction curve (OJIP) in a global rice minicore panel

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On beyond GWAS

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Missing Heritability of Complex Traits and Diseases

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