The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Personal genomes: The case of the missing heritability
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Despite ever increasing sample sizes and marker densities, most of the genetic variance of complex traits remains unaccounted for in genome-wide association studies [114].”
From Integrating Crop Growth Models with Whole Genome Prediction through Approximate Bayesian Computation (2015) · cites this paper as [114]
Experimental — accuracy not yet measuredIn the citing paper
“loci detected by GWAS almost without exception explain a small minority of the inferred genetic variance5,6”
From Rare and common variants: twenty arguments (2012) · cites this paper as [5]
In the citing paper
“When GWAS began the field was dominated by the simple common disease-common variant (CD-CV) hypothesis1–4 has been refuted in light of the so-called ‘missing heritability problem’”
From Rare and common variants: twenty arguments (2012) · cites this paper as [5]
In the citing paper
“While there has been a very public focus on the failure of GWAS to find the missing heritability5,6, the simplest explanation for this is that the expectations were based on unrealistic prior assumption of effect sizes.”
From Rare and common variants: twenty arguments (2012) · cites this paper as [5]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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.
GROUP, Stefansson, H., Rujescu, D., Cichon, S., Pietiläinen, O. P. H., Ingason, A., Steinberg, S., Fossdal, R., Sigurdsson, E., Sigmundsson, T., et al. (2008) · Nature · doi:10.1038/nature07229 · Cited by 1,745
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
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
Flagged first, then by citations
Research works printed but not linked: 1
- Gudbjartsson, D. F. et al. Nature Genet. 40, 609–615 (2008).
Cited by
Sorted by citations
Finding the missing heritability of complex diseases
Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., McCarthy, M. I., Ramos, E. M., Cardon, L. R., Chakravarti, A., et al. (2009) · Nature · doi:10.1038/nature08494 · Cited by 8,336
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
Common polygenic variation contributes to risk of schizophrenia and bipolar disorder
The International Schizophrenia Consortium (2009) · Nature · doi:10.1038/nature08185 · Cited by 4,821
Common SNPs explain a large proportion of the heritability for human height
Yang, J., Benyamin, B., McEvoy, B. P., Gordon, S., Henders, A. K., Nyholt, D. R., Madden, P. A., Heath, A. C., Martin, N. G., Montgomery, G. W., et al. (2010) · Nature Genetics · doi:10.1038/ng.608 · Cited by 4,446
10 Years of GWAS Discovery: Biology, Function, and Translation
Visscher, P. M., Wray, N. R., Zhang, Q., Sklar, P., McCarthy, M. I., Brown, M. A., & Yang, J. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.06.005 · Cited by 3,719
Harold, D., Abraham, R., Hollingworth, P., Sims, R., Gerrish, A., Hamshere, M. L., Pahwa, J. S., Moskvina, V., Dowzell, K., Williams, A., et al. (2009) · Nature Genetics · doi:10.1038/ng.440 · Cited by 3,326
Variance component model to account for sample structure in genome-wide association studies
Kang, H. M., Sul, J. H., Service, S. K., Zaitlen, N. A., Kong, S.-Y., Freimer, N. B., Sabatti, C., & Eskin, E. (2010) · Nature Genetics · doi:10.1038/ng.548 · Cited by 2,817
Meta-analysis of the heritability of human traits based on fifty years of twin studies
Polderman, T. J. C., Benyamin, B., de Leeuw, C. A., Sullivan, P. F., van Bochoven, A., Visscher, P. M., & Posthuma, D. (2015) · Nature Genetics · doi:10.1038/ng.3285 · Cited by 2,467
Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer's disease
the European Alzheimer's Disease Initiative Investigators, Lambert, J.-C., Heath, S., Even, G., Campion, D., Sleegers, K., Hiltunen, M., Combarros, O., Zelenika, D., Bullido, M. J., et al. (2009) · Nature Genetics · doi:10.1038/ng.439 · Cited by 2,234
The mystery of missing heritability: Genetic interactions create phantom heritability
Zuk, O., Hechter, E., Sunyaev, S. R., & Lander, E. S. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1119675109 · Cited by 1,542
Emerging applications of metabolomics in drug discovery and precision medicine
Wishart, D. S. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.32 · Cited by 1,543
Houle, D., Govindaraju, D. R., & Omholt, S. W. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2897 · Cited by 1,319
Rare and common variants: twenty arguments
Gibson, G. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3118 · Cited by 1,278
Genomic selection in plant breeding: from theory to practice
Jannink, J., Lorenz, A. J., & Iwata, H. (2010) · Briefings in Functional Genomics · doi:10.1093/bfgp/elq001 · Cited by 1,203
Early Developmental Conditioning of Later Health and Disease: Physiology or Pathophysiology?
Hanson, M. A., & Gluckman, P. D. (2014) · Physiological Reviews · doi:10.1152/physrev.00029.2013 · Cited by 1,188
Uncovering the roles of rare variants in common disease through whole-genome sequencing
Cirulli, E. T., & Goldstein, D. B. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2779 · Cited by 1,136
Mapping genes for complex traits in domestic animals and their use in breeding programmes
Goddard, M. E., & Hayes, B. J. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2575 · Cited by 1,146
Estimating Missing Heritability for Disease from Genome-wide Association Studies
Lee, S. H., Wray, N. R., Goddard, M. E., & Visscher, P. M. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.02.002 · Cited by 1,064
A Review of Feature Selection Methods for Machine Learning-Based Disease Risk Prediction
Pudjihartono, N., Fadason, T., Kempa-Liehr, A. W., & O'Sullivan, J. M. (2022) · Frontiers in Bioinformatics · doi:10.3389/fbinf.2022.927312 · Cited by 965
Beyond DNA: integrating inclusive inheritance into an extended theory of evolution
Danchin, É., Charmantier, A., Champagne, F. A., Mesoudi, A., Pujol, B., & Blanchet, S. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3028 · Cited by 860
“This became strikingly obvious when genome-wide association studies (GWA studies) showed that most of the high heritabilities for phenotypic traits, such as height or common human diseases, could not be explained by common genetic variant”
ResultRare Variants Create Synthetic Genome-Wide Associations
Dickson, S. P., Wang, K., Krantz, I., Hakonarson, H., & Goldstein, D. B. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000294 · Cited by 857
Association mapping: critical considerations shift from genotyping to experimental design
Myles, S., Peiffer, J., Brown, P. J., Ersoz, E. S., Zhang, Z., Costich, D. E., & Buckler, E. S. (2009) · The Plant Cell · doi:10.1105/tpc.109.068437 · Cited by 857
2b-RAD: a simple and flexible method for genome-wide genotyping
Wang, S., Meyer, E., McKay, J., & Matz, M. V. (2012) · Nature Methods · doi:10.1038/nmeth.2023 · Cited by 720
Practitioner Review: What have we learnt about the causes of ADHD?
Thapar, A., Cooper, M., Eyre, O., & Langley, K. (2013) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2012.02611.x · Cited by 701
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
Epigenetics as a unifying principle in the aetiology of complex traits and diseases
Petronis, A. (2010) · Nature · doi:10.1038/nature09230 · Cited by 703
THE QTN PROGRAM AND THE ALLELES THAT MATTER FOR EVOLUTION: ALL THAT'S GOLD DOES NOT GLITTER
Rockman, M. V. (2011) · Evolution · doi:10.1111/j.1558-5646.2011.01486.x · Cited by 679
Common disorders are quantitative traits
Plomin, R., Haworth, C. M. A., & Davis, O. S. P. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2670 · Cited by 670
Common vs. rare allele hypotheses for complex diseases
Schork, N. J., Murray, S. S., Frazer, K. A., & Topol, E. J. (2009) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2009.04.010 · Cited by 649
A conceptual framework for the developmental origins of health and disease
Gluckman, P. D., Hanson, M. A., & Buklijas, T. (2010) · Journal of Developmental Origins of Health and Disease · doi:10.1017/s2040174409990171 · Cited by 592
Genomic inflation factors under polygenic inheritance
Yang, J., Weedon, M. N., Purcell, S., Lettre, G., Estrada, K., Willer, C. J., Smith, A. V., Ingelsson, E., O’Connell, J. R., Mangino, M., et al. (2011) · European Journal of Human Genetics · doi:10.1038/ejhg.2011.39 · Cited by 571
Genome-wide association studies in diverse populations
Rosenberg, N. A., Huang, L., Jewett, E. M., Szpiech, Z. A., Jankovic, I., & Boehnke, M. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2760 · Cited by 566
Shared heritability of attention-deficit/hyperactivity disorder and autism spectrum disorder
Rommelse, N. N. J., Franke, B., Geurts, H. M., Hartman, C. A., & Buitelaar, J. K. (2010) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-010-0092-x · Cited by 564
Recent Explosive Human Population Growth Has Resulted in an Excess of Rare Genetic Variants
Keinan, A., & Clark, A. G. (2012) · Science · doi:10.1126/science.1217283 · Cited by 548
Graph pangenome captures missing heritability and empowers tomato breeding
Zhou, Y., Zhang, Z., Bao, Z., Li, H., Lyu, Y., Zan, Y., Wu, Y., Cheng, L. Z., Fang, Y., Wu, K., et al. (2022) · Nature · doi:10.1038/s41586-022-04808-9 · Cited by 542
Additive Genetic Variability and the Bayesian Alphabet
Daniel Gianola, B., Campos, G. D. L., Hill, W. G., Manfredi, E., & Fernando, R. L. (2009) · Genetics · doi:10.1534/genetics.109.103952 · Cited by 492
Cramer, A. O. J., van der Sluis, S., Noordhof, A., Wichers, M., Geschwind, N., Aggen, S. H., Kendler, K. S., & Borsboom, D. (2012) · European Journal of Personality · doi:10.1002/per.1866 · Cited by 512
Inequality at Birth: Some Causes and Consequences
Currie, J. (2011) · American Economic Review · doi:10.1257/aer.101.3.1 · Cited by 480
Reevaluation of SNP heritability in complex human traits
Speed, D., Cai, N., Johnson, M. R., Nejentsev, S., & Balding, D. J. (2017) · Nature Genetics · doi:10.1038/ng.3865 · Cited by 452
Concepts, estimation and interpretation of SNP-based heritability
Yang, J., Zeng, J., Goddard, M. E., Wray, N. R., & Visscher, P. M. (2017) · Nature Genetics · doi:10.1038/ng.3941 · Cited by 455
Genetic and environmental continuity in personality development: A meta-analysis.
Briley, D. A., & Tucker-Drob, E. M. (2014) · Psychological Bulletin · doi:10.1037/a0037091 · Cited by 435
Genome-wide Association Studies in Maize: Praise and Stargaze
Xiao, Y., Liu, H., Wu, L., Warburton, M. L., & Yan, J. (2016) · Molecular Plant · doi:10.1016/j.molp.2016.12.008 · Cited by 439
The genetics of attention deficit/hyperactivity disorder in adults, a review
on behalf of the International Multicentre persistent ADHD CollaboraTion (IMpACT), Franke, B., Faraone, S. V., Asherson, P., Buitelaar, J., Bau, C. H. D., Ramos-Quiroga, J. A., Mick, E., Grevet, E. H., Johansson, S., et al. (2012) · Molecular Psychiatry · doi:10.1038/mp.2011.138 · Cited by 432
Doubling down on genomes: Polyploidy and crop plants
Renny‐Byfield, S., & Wendel, J. F. (2014) · American Journal of Botany · doi:10.3732/ajb.1400119 · Cited by 420
Hayes, B. J., Pryce, J. E., Chamberlain, A. J., Bowman, P. J., & Goddard, M. E. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001139 · Cited by 426
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 417
Smith, A. M., Rahman, F. Z., Hayee, B., Graham, S. J., Marks, D. J., Sewell, G. W., Palmer, C. D., Wilde, J. I., Foxwell, B. M. J., Gloger, I., et al. (2009) · The Journal of Experimental Medicine · doi:10.1084/jem.20091233 · Cited by 415
What can exome sequencing do for you?
Majewski, J., Schwartzentruber, J., Lalonde, E., Montpetit, A., & Jabado, N. (2011) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2011-100223 · Cited by 417
Reconciling the analysis of IBD and IBS in complex trait studies
Powell, J. E., Visscher, P. M., & Goddard, M. E. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2865 · Cited by 400
Currin, A., Swainston, N., Day, P. J., & Kell, D. B. (2014) · Chemical Society Reviews · doi:10.1039/c4cs00351a · Cited by 393
The genetics of type 2 diabetes: what have we learned from GWAS?
Billings, L. K., & Florez, J. C. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2010.05838.x · Cited by 402
Bayesian inference analyses of the polygenic architecture of rheumatoid arthritis
Diabetes Genetics Replication and Meta-analysis Consortium, Stahl, E. A., Myocardial Infarction Genetics Consortium, Wegmann, D., Trynka, G., Gutierrez-Achury, J., Do, R., Voight, B. F., Kraft, P., Chen, R., et al. (2012) · Nature Genetics · doi:10.1038/ng.2232 · Cited by 388
Copy number variations and cancer
Shlien, A., & Malkin, D. (2009) · Genome Medicine · doi:10.1186/gm62 · Cited by 386
The continuing value of twin studies in the omics era
van Dongen, J., Slagboom, P. E., Draisma, H. H. M., Martin, N. G., & Boomsma, D. I. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3243 · Cited by 384
Nutrition, epigenetics, and developmental plasticity: implications for understanding human disease
Burdge, G. C., & Lillycrop, K. A. (2010) · Annual Review of Nutrition · doi:10.1146/annurev.nutr.012809.104751 · Cited by 372
Casanova, J., Abel, L., & Quintana‐Murci, L. (2011) · Annual Review of Immunology · doi:10.1146/annurev-immunol-030409-101335 · Cited by 377
Genetic foundations of human intelligence
Deary, I. J., Johnson, W., & Houlihan, L. M. (2009) · Human Genetics · doi:10.1007/s00439-009-0655-4 · Cited by 373
Smith, E. N., Bloss, C. S., Badner, J. A., Barrett, T., Belmonte, P. L., Berrettini, W., Byerley, W., Coryell, W., Craig, D., Edenberg, H. J., et al. (2009) · Molecular Psychiatry · doi:10.1038/mp.2009.43 · Cited by 363
Guan, Y., & Stephens, M. (2011) · The Annals of Applied Statistics · doi:10.1214/11-aoas455 · Cited by 357
Paşaniuc, B., & Zaitlen, N. (2013) · eScholarship (California Digital Library) · Cited by 362
Kell, D. B. (2010) · Archives of Toxicology · doi:10.1007/s00204-010-0577-x · Cited by 361
Progress and challenges in genome-wide association studies in humans
Donnelly, P. (2008) · Nature · doi:10.1038/nature07631 · Cited by 366
Understanding and using quantitative genetic variation
Hill, W. G. (2009) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2009.0203 · Cited by 372
Bringing genome-wide association findings into clinical use
Manolio, T. A. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3523 · Cited by 363
Genetics of Insulin Resistance and the Metabolic Syndrome
Brown, A. E., & Walker, M. (2016) · Current Cardiology Reports · doi:10.1007/s11886-016-0755-4 · Cited by 365
Prediction of Complex Human Traits Using the Genomic Best Linear Unbiased Predictor
Campos, G. D. L., Vazquez, A. I., Fernando, R. L., Klimentidis, Y. C., & Sørensen, D. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003608 · Cited by 352
Morgan, C. P., & Bale, T. L. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.1887-11.2011 · Cited by 346
Gabory, A., Roseboom, T. J., Moore, T., Moore, L. G., & Junien, C. (2013) · Biology of Sex Differences · doi:10.1186/2042-6410-4-5 · Cited by 344
Computer simulations: tools for population and evolutionary genetics
Hoban, S., Bertorelle, G., & Gaggiotti, O. E. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3130 · Cited by 351
Epigenetic Inheritance and the Missing Heritability Problem
Slatkin, M. (2009) · Genetics · doi:10.1534/genetics.109.102798 · Cited by 337
Towards a comprehensive structural variation map of an individual human genome
Pang, A. W., MacDonald, J. R., Pinto, D., Wei, J., Rafiq, M. A., Conrad, D. F., Park, H., Hurles, M. E., Lee, C., Venter, J. C., et al. (2010) · Genome Biology · doi:10.1186/gb-2010-11-5-r52 · Cited by 335
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
Smith, G. D. (2011) · International Journal of Epidemiology · doi:10.1093/ije/dyr117 · Cited by 339
Genetic insights in Alzheimer's disease
Bettens, K., Sleegers, K., & Van Broeckhoven, C. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70259-4 · Cited by 290
Guo, S.-W. (2009) · Molecular Human Reproduction · doi:10.1093/molehr/gap064 · Cited by 328
A complete mass-spectrometric map of the yeast proteome applied to quantitative trait analysis
Picotti, P., Clément-Ziza, M., Lam, H., Campbell, D. S., Schmidt, A., Deutsch, E. W., Röst, H., Sun, Z., Rinner, O., Reiter, L., et al. (2013) · Nature · doi:10.1038/nature11835 · Cited by 318
Chuang, H., Hofree, M., & Ideker, T. (2010) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-100109-104122 · Cited by 327
A Data-Adaptive Sum Test for Disease Association with Multiple Common or Rare Variants
Han, F., & Pan, W. (2010) · Human Heredity · doi:10.1159/000288704 · Cited by 306
New developments in the genetics, pathogenesis, and therapy of IgA nephropathy
Magistroni, R., D’Agati, V. D., Appel, G. B., & Kiryluk, K. (2015) · Kidney International · doi:10.1038/ki.2015.252 · Cited by 301
Low-coverage sequencing: Implications for design of complex trait association studiesPreprint
Li, Y., Sidore, C., Kang, H. M., Boehnke, M., & Abecasis, G. R. (2011) · Genome Research · doi:10.1101/gr.117259.110 · Cited by 313
Alexander, E. S., Martin, L. J., Collins, M. H., Kottyan, L. C., Sucharew, H. J., He, H., Mukkada, V. A., Succop, P., Abonia, J. P., Foote, H. L., et al. (2014) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2014.07.021 · Cited by 314
Evans, D. M., Visscher, P. M., & Wray, N. R. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddp295 · Cited by 297
A large electronic-health-record-based genome-wide study of serum lipids
Hoffmann, T. J., Theusch, E., Haldar, T., Ranatunga, D. K., Jorgenson, E., Medina, M. W., Kvale, M. N., Kwok, P., Schaefer, C. A., Krauss, R. M., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0064-5 · Cited by 293
Developmental origins of noncommunicable disease: population and public health implications
Hanson, M. A., & Gluckman, P. D. (2011) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.001206 · Cited by 305
Measuring missing heritability: Inferring the contribution of common variants
Golan, D., Lander, E. S., & Rosset, S. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1419064111 · Cited by 288
The heritability of human disease: estimation, uses and abuses.
Tenesa, A., & Haley, C. S. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3377 · Cited by 283
Manuck, S. B., & McCaffery, J. M. (2014) · Annual Review of Psychology · doi:10.1146/annurev-psych-010213-115100 · Cited by 296
Family-based designs for genome-wide association studies
Ott, J., Kamatani, Y., & Lathrop, M. G. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2989 · Cited by 278
Holloway, J. W., Yang, I. A., & Holgate, S. T. (2010) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2009.10.071 · Cited by 280
Integrating Crop Growth Models with Whole Genome Prediction through Approximate Bayesian Computation
Technow, F., Messina, C. D., Totir, L. R., & Cooper, M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0130855 · Cited by 265
“Despite ever increasing sample sizes and marker densities, most of the genetic variance of complex traits remains unaccounted for in genome-wide association studies [114].”
BackgroundBeckmann, J. S., & Lew, D. (2016) · Genome Medicine · doi:10.1186/s13073-016-0388-7 · Cited by 267
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 260
Molecular genetics of attention-deficit/hyperactivity disorder: an overview
Banaschewski, T., Becker, K., Scherag, S., Franke, B., & Coghill, D. (2010) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-010-0090-z · Cited by 252
Reynolds, M. P., Chapman, S. C., Crespo‐Herrera, L., Molero, G., Mondal, S., Pequeno, D. N. L., Pinto, F., Piñera‐Chávez, F. J., Poland, J., Rivera‐Amado, C., et al. (2020) · Plant Science · doi:10.1016/j.plantsci.2019.110396 · Cited by 267
Berghe, W. V. (2012) · Pharmacological Research · doi:10.1016/j.phrs.2012.03.007 · Cited by 245
Zhang, Z., Ober, U., Erbe, M., Zhang, H., Gao, N., He, J., Li, J., & Simianer, H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0093017 · Cited by 255
Predicting genetic predisposition in humans: the promise of whole-genome markers
Campos, G. D. L., Gianola, D., & Allison, D. B. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2898 · Cited by 240
Genetic Gating of Human Fear Learning and Extinction
Lonsdorf, T. B., Weike, A. I., Nikamo, P., Schalling, M., Hamm, A. O., & Öhman, A. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2009.02280.x · Cited by 249
Ferguson, L. R., Caterina, R. D., Görman, U., Allayee, H., Kohlmeier, M., Prasad, C., Choi, M. S., Curi, R., de Luis, D. A., Gil, Á., et al. (2016) · Lifestyle Genomics · doi:10.1159/000445350 · Cited by 270
Epigenetic Mechanisms of Transmission of Metabolic Disease across Generations
Sales, V., Ferguson‐Smith, A. C., & Patti, M. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.02.016 · Cited by 248
Metadata
- Authors
- Maher, B.
- Corresponding author
- Maher, Brendan
- Venue
- Nature
- Published
- 2008-11
- Volume
- 456
- Issue
- 7218
- Pages
- 18-21
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2070082005
- Cited by
- 1,737
- References
- 12
- Citations by year
- 2026: 27 · 2025: 31 · 2024: 54 · 2023: 62 · 2022: 72 · 2021: 72 · 2020: 73 · 2019: 80 · 2018: 85 · 2017: 101 · 2016: 109 · 2015: 151 · 2014: 113 · 2013: 157 · 2012: 165
- Type
- other
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- missing heritability, common genetic variants, genome-wide association study, genetic architecture of complex traits, polygenic risk, heritability
- MeSH terms
- Animals, Body Height, Child, Epistasis, Genetic, Humans, Individuality, Genome, Human, Gene Dosage, Penetrance, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Genomics, Heredity, Mice, Genome-Wide Association Study
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review