Cited by 1,921Genetic and phenotypic traits in livestockGenetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

The DOI matches its Crossref record; 118 of the 118 references it cites were found in a registry or an index.

Heritability in the genomics era — concepts and misconceptions

Visscher, Peter M., Hill, William G., Wray, Naomi R.·2008·Nature Reviews Genetics

DOI 10.1038/nrg2322

Open this paper in CoChat — free account

Abstract

Heritability allows a comparison of the relative importance of genes and environment to the variation of traits within and across populations. The concept of heritability and its definition as an estimable, dimensionless population parameter was introduced by Sewall Wright and Ronald Fisher nearly a century ago. Despite continuous misunderstandings and controversies over its use and application, heritability remains key to the response to selection in evolutionary biology and agriculture, and to the prediction of disease risk in medicine. Recent reports of substantial heritability for gene expression and new estimation methods using marker data highlight the relevance of heritability in the genomics era.

Integrity signals

Registry

Crossref · 10.1038/nrg2322

Cites

118 of 118 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Introduction to Quantitative Genetics.
Edwards, A. W. F., & Falconer, D. S. (1982) · Biometrics · doi:10.2307/2529912 · Cited by 21,447
The genetical theory of natural selection
Fisher, R. A. (1930) · doi:10.5962/bhl.title.27468 · Cited by 17,617
Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene
Caspi, A., Sugden, K., Moffitt, T. E., Taylor, A., Craig, I. W., Harrington, H., McClay, J., Mill, J., Martin, J., Braithwaite, A., et al. (2003) · Science · doi:10.1126/science.1083968 · Cited by 8,120
Genetics and Analysis of Quantitative Traits
(2002) · Journal of Animal Breeding and Genetics · doi:10.1046/j.1439-0388.2002.00356.x · Cited by 6,176
The measurement of selection on correlated characters
Lande, R., & Arnold, S. J. (1983) · Evolution · doi:10.1111/j.1558-5646.1983.tb00236.x · Cited by 5,437
XV.—The Correlation between Relatives on the Supposition of Mendelian Inheritance.
Fisher, R. A. (1919) · Transactions of the Royal Society of Edinburgh · doi:10.1017/s0080456800012163 · Cited by 4,387
Recovery of Inter-Block Information when Block Sizes are Unequal
Patterson, H. D., & Thompson, R. (1971) · Biometrika · doi:10.1093/biomet/58.3.545 · Cited by 4,073
The Bell Curve: Intelligence and Class Structure in American Life.
Preston, S. H., Herrnstein, R. J., & Murray, C. A. (1995) · Population and Development Review · doi:10.2307/2137757 · Cited by 4,027
Introduction to Quantitative Genetics
J.-M., G., & Falconer, D. S. (1962) · Population · doi:10.2307/1525780 · Cited by 3,773
Genetic Epidemiology of Major Depression: Review and Meta-Analysis
Sullivan, P. F., Neale, M. C., & Kendler, K. S. (2000) · American Journal of Psychiatry · doi:10.1176/appi.ajp.157.10.1552 · Cited by 3,431

Flagged first, then by citations

Show all 118 references

Research works printed but not linked: 3

Preisinger, R. & Flock, D. K. in The Challenge of Genetic Change in Animal Production (eds Hill, W. G. et al.) (British Society of Animal Science, Edinburgh, 2000).
Dempster, E. R. & Lerner, I. M. Heritability of threshold characters. Genetics 35, 212–236 (1950). · DOI
Garcia de Leaniz, C. & Consuegra, S. Phenotypic variation and population structuring in Atlantic salmon in fluctuating environments. J. Fish Biol. 69, 232–232 (2006).

Sorted by citations

Items 101–200 of 1,000

Epigenetics of discordant monozygotic twins: implications for disease
Fernandez, J. C., Spector, T. D., & Bell, J. T. (2014) · Genome Medicine · doi:10.1186/s13073-014-0060-z · Cited by 214
Amygdalar and hippocampal substrates of anxious temperament differ in their heritability
Oler, J. A., Fox, A. S., Shelton, S. E., Rogers, J., Dyer, T. D., Davidson, R. J., Shelledy, W., Oakes, T. R., Blangero, J., & Kalin, N. H. (2010) · Nature · doi:10.1038/nature09282 · Cited by 208
Is atypical rhythm a risk factor for developmental speech and language disorders?
Ladányi, E., Persici, V., Fiveash, A., Tillmann, B., & Gordon, R. L. (2020) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1528 · Cited by 236
Dissection of genotype–phenotype associations in rice grains using metabolome quantitative trait loci analysis
Matsuda, F., Okazaki, Y., Oikawa, A., Kusano, M., Nakabayashi, R., Kikuchi, J., Yonemaru, J., Ebana, K., Yano, M., & Saito, K. (2012) · The Plant Journal · doi:10.1111/j.1365-313x.2012.04903.x · Cited by 209
Missing heritability of complex diseases: case solved?
Génin, E. (2019) · Human Genetics · doi:10.1007/s00439-019-02034-4 · Cited by 219
Using summary data from the Danish National Registers to estimate heritabilities for schizophrenia, bipolar disorder, and major depressive disorder
Wray, N. R. (2012) · Frontiers in Genetics · doi:10.3389/fgene.2012.00118 · Cited by 203
Self-citation
Genetic susceptibility to type 2 diabetes and obesity: from genome-wide association studies to rare variants and beyond
Grarup, N., Sandholt, C. H., Hansen, T. F., & Pedersen, O. B. (2014) · Diabetologia · doi:10.1007/s00125-014-3270-4 · Cited by 209
Marker-Based Estimation of Heritability in Immortal Populations
Kruijer, W., Boer, M. P., Malosetti, M., Flood, P. J., ENGEL, B., Kooke, R., Keurentjes, J. J. B., & van Eeuwijk, F. A. (2014) · Genetics · doi:10.1534/genetics.114.167916 · Cited by 199
A Commentary on ‘Common SNPs Explain a Large Proportion of the Heritability for Human Height’ by Yang et al. (2010)
Visscher, P. M., Yang, J., & Goddard, M. E. (2010) · Twin Research and Human Genetics · doi:10.1375/twin.13.6.517 · Cited by 207
Self-citation
Single-Tissue and Cross-Tissue Heritability of Gene Expression Via Identity-by-Descent in Related or Unrelated Individuals
Price, A. L., Helgason, A., Þorleifsson, G., McCarroll, S. A., Kong, A., & Stefánsson, K. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1001317 · Cited by 198
Improving conservation policy with genomics: a guide to integrating adaptive potential into U.S. Endangered Species Act decisions for conservation practitioners and geneticists
Funk, W. C., Forester, B. R., Converse, S. J., Darst, C. R., & Morey, S. (2018) · Conservation Genetics · doi:10.1007/s10592-018-1096-1 · Cited by 209
Predicting Unobserved Phenotypes for Complex Traits from Whole-Genome SNP Data
Lee, S., van der Werf, J. H. J., Hayes, B. J., Goddard, M. E., & Visscher, P. M. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000231 · Cited by 197
Self-citation
Familial risk of epilepsy: a population-based study
Peljto, A. L., Barker‐Cummings, C., Vasoli, V. M., Leibson, C. L., Hauser, W. A., Buchhalter, J., & Ottman, R. (2014) · Brain · doi:10.1093/brain/awt368 · Cited by 201
Prevotella as a Hub for Vaginal Microbiota under the Influence of Host Genetics and Their Association with Obesity
Si, J., You, H. J., Yu, J., Sung, J., & Ko, G. (2016) · Cell Host & Microbe · doi:10.1016/j.chom.2016.11.010 · Cited by 192
Reprogramming Cellular Identity for Regenerative Medicine
Cherry, A. B. C., & Daley, G. Q. (2012) · Cell · doi:10.1016/j.cell.2012.02.031 · Cited by 193
Behavior genetics and postgenomics
Charney, E. (2012) · Behavioral and Brain Sciences · doi:10.1017/s0140525x11002226 · Cited by 215
Increasing Heritability of BMI and Stronger Associations With the FTO Gene Over Childhood
Haworth, C. M. A., Carnell, S., Meaburn, E. L., Davis, O. S. P., Plomin, R. J., & Wardle, J. (2008) · Obesity · doi:10.1038/oby.2008.434 · Cited by 183
Hidden heritability due to heterogeneity across seven populations
Tropf, F. C., Lee, S. H., Verweij, R. M., Stulp, G., van der Most, P. J., de Vlaming, R., Bakshi, A., Briley, D. A., Rahal, C., Hellpap, R., et al. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0195-1 · Cited by 180
Life Events as Environmental States and Genetic Traits and the Role of Personality: A Longitudinal Twin Study
Kandler, C., Bleidorn, W., Riemann, R., Angleitner, A., & Spinath, F. M. (2012) · Behavior Genetics · doi:10.1007/s10519-011-9491-0 · Cited by 178
Metabolome‐genome‐wide association study dissects genetic architecture for generating natural variation in rice secondary metabolism
Matsuda, F., Nakabayashi, R., Yang, Z., Okazaki, Y., Yonemaru, J., Ebana, K., Yano, M., & Saito, K. (2014) · The Plant Journal · doi:10.1111/tpj.12681 · Cited by 182
Eco‐evolution on the edge during climate change
Nadeau, C. P., & Urban, M. C. (2019) · Ecography · doi:10.1111/ecog.04404 · Cited by 182
Epigenetic Inheritance of Disease and Disease Risk
Bohacek, J., & Mansuy, I. M. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2012.110 · Cited by 180
Brain Imaging Genomics: Integrated Analysis and Machine Learning
Shen, L., & Thompson, P. M. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2947272 · Cited by 178
Challenges and Opportunities for Developing More Generalizable Polygenic Risk Scores
Wang, Y., Tsuo, K., Kanai, M., Neale, B. M., & Martin, A. R. (2022) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-111721-074830 · Cited by 173
Uniform Selection as a Primary Force Reducing Population Genetic Differentiation of Cavitation Resistance across a Species Range
Lamy, J., Bouffier, L., Burlett, R., Plomion, C., Cochard, H., & Delzon, S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0023476 · Cited by 183
Genetics of restless legs syndrome
Winkelmann, J., Schormair, B., Xiong, L., Dion, P. A., Rye, D. B., & Rouleau, G. A. (2002) · Elsevier eBooks · doi:10.1007/s11910-008-0033-y · Cited by 175
Metabolite‐based genome‐wide association study enables dissection of the flavonoid decoration pathway of wheat kernels
Chen, J., Hu, X., Shi, T., Yin, H., Sun, D., Hao, Y., Xia, X., Luo, J., Fernie, A. R., He, Z., et al. (2020) · Plant Biotechnology Journal · doi:10.1111/pbi.13335 · Cited by 169
Four decades of estimating heritabilities in wild vertebrate populations: improved methods, more data, better estimates?
Postma, E. (2014) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199674237.003.0002 · Cited by 169
Genetics of human height
McEvoy, B. P., & Visscher, P. M. (2009) · Economics & Human Biology · doi:10.1016/j.ehb.2009.09.005 · Cited by 175
Self-citation
The Coevolving Web of Life(American Society of Naturalists Presidential Address)
Thompson, J. N. (2009) · The American Naturalist · doi:10.1086/595752 · Cited by 165
High-Diversity Mouse Populations for Complex Traits
Saul, M. C., Philip, V. M., Reinholdt, L. G., & Chesler, E. J. (2019) · Trends in Genetics · doi:10.1016/j.tig.2019.04.003 · Cited by 170
Pathogenesis of coronary artery disease: focus on genetic risk factors and identification of genetic variants
Elosúa, R., Sayols-Baixeras, S., Lluís-Ganella, C., & Lucas, G. (2014) · The Application of Clinical Genetics · doi:10.2147/tacg.s35301 · Cited by 169
Bayesian large-scale multiple regression with summary statistics from genome-wide association studies
Zhu, X., & Stephens, M. (2017) · The Annals of Applied Statistics · doi:10.1214/17-aoas1046 · Cited by 151
Polygenic Epidemiology
Dudbridge, F. (2016) · Genetic Epidemiology · doi:10.1002/gepi.21966 · Cited by 161
The influence of gene–environment interactions on alcohol consumption and alcohol use disorders: A comprehensive review
Young‐Wolff, K. C., Enoch, M., & Prescott, C. A. (2011) · Clinical Psychology Review · doi:10.1016/j.cpr.2011.03.005 · Cited by 162
Evolutionary consequences of cryptic genetic variation
McGuigan, K., & Sgrò, C. M. (2009) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2009.02.001 · Cited by 157
Genetic variation, brain, and intelligence differences
Deary, I. J., Cox, S. R., & Hill, W. D. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01027-y · Cited by 137
Self-citation
Heritability in the genome-wide association era
Zaitlen, N., & Kraft, P. L. (2012) · Human Genetics · doi:10.1007/s00439-012-1199-6 · Cited by 163
Assessing the Heritability of Complex Traits in Humans: Methodological Challenges and Opportunities
Mayhew, A., & Meyre, D. (2017) · Current Genomics · doi:10.2174/1389202918666170307161450 · Cited by 169
Genotype–covariate interaction effects and the heritability of adult body mass index
Robinson, M. R., English, G., Moser, G., Lloyd‐Jones, L. R., Triplett, M. A., Zhu, Z., Nolte, I. M., van Vliet‐Ostaptchouk, J. V., Snieder, H., Study, T. L. C., et al. (2017) · Nature Genetics · doi:10.1038/ng.3912 · Cited by 150
Self-citation
Sociology, Genetics, and the Coming of Age of Sociogenomics
Mills, M. C., & Tropf, F. C. (2020) · Annual Review of Sociology · doi:10.1146/annurev-soc-121919-054756 · Cited by 162
The Impact of Population Demography and Selection on the Genetic Architecture of Complex Traits
Lohmueller, K. E. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004379 · Cited by 154
Beyond Heritability
Johnson, W., Turkheimer, E. N., Gottesman, I. I., & Bouchard, T. J. (2009) · Current Directions in Psychological Science · doi:10.1111/j.1467-8721.2009.01639.x · Cited by 150
Determinants and Consequences of Dispersal in Vertebrates with Complex Life Cycles: A Review of Pond-Breeding Amphibians
Cayuela, H., Valenzuela‐Sánchez, A., Teulier, L., Martínez-Solano, Í., Léna, J., Merilä, J., Muths, E., Shine, R., Quay, L., Denoël, M., et al. (2020) · The Quarterly Review of Biology · doi:10.1086/707862 · Cited by 148
Spontaneous preterm birth: advances toward the discovery of genetic predisposition
Strauss, J. F., Romero, R. J., Gomez‐Lopez, N., Haymond‐Thornburg, H., Modi, B. P., Teves, M. E., Pearson, L. N., York, T. P., & Schenkein, H. A. (2017) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2017.12.009 · Cited by 153
Highly heritable and functionally relevant breed differences in dog behaviour
MacLean, E. L., Snyder-Mackler, N., vonHoldt, B. M., & Serpell, J. A. (2019) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2019.0716 · Cited by 144
Sex-specific genetic effects influence variation in body composition
Zillikens, M. C., Yazdanpanah, M., Pardo, L. M., Rivadeneira, F., Aulchenko, Y. S., Oostra, B. A., Uitterlinden, A. G., Pols, H. A. P., & van Duijn, C. M. (2008) · Diabetologia · doi:10.1007/s00125-008-1163-0 · Cited by 139
Genome-wide association mapping unravels the genetic control of seed germination and vigor in Brassica napus
Hatzig, S., Frisch, M., Breuer, F., Nési, N., Ducournau, S., Wagner, M.-H., Leckband, G., Abbadi, A., & Snowdon, R. J. (2015) · Frontiers in Plant Science · doi:10.3389/fpls.2015.00221 · Cited by 140
Genetics and educational attainment
Cesarini, D. A., & Visscher, P. M. (2017) · npj Science of Learning · doi:10.1038/s41539-017-0005-6 · Cited by 142
Self-citation
Facial Genetics: A Brief Overview
Richmond, S., Howe, L. J., Lewis, S. J., Stergiakouli, E., & Zhurov, A. I. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00462 · Cited by 146
The traits of “trait ecologists”: An analysis of the use of trait and functional trait terminology
Dawson, S. K., Carmona, C. P., González‐Suárez, M., Jönsson, M. T., Chichorro, F., Mallen‐Cooper, M., Melero, Y., Moor, H., Simaika, J. P., & Duthie, A. B. (2021) · Ecology and Evolution · doi:10.1002/ece3.8321 · Cited by 140
Phenotypic heterogeneity in m.3243A>G mitochondrial disease: The role of nuclear factors
Pickett, S. J., Grady, J. P., Ng, Y. S., Gorman, G. S., Schaefer, A. M., Wilson, I., Cordell, H. J., Turnbull, D. M., Taylor, R. W., & McFarland, R. (2018) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.532 · Cited by 141
The past, present and future of reproductive skew theory and experiments
Nonacs, P., & Hager, R. (2010) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/j.1469-185x.2010.00144.x · Cited by 141
Rhesus macaques (Macaca mulatta) as living fossils of hominoid personality and subjective well-being.
Weiß, A., Adams, M. J., Widdig, A., & Gerald, M. S. (2011) · Journal of comparative psychology · doi:10.1037/a0021187 · Cited by 138
Phenomics for photosynthesis, growth and reflectance in Arabidopsis thaliana reveals circadian and long-term fluctuations in heritability
Flood, P. J., Kruijer, W., Schnabel, S., van der Schoor, R., Jalink, H., Snel, J. F. H., Harbinson, J., & Aarts, M. G. M. (2016) · Plant Methods · doi:10.1186/s13007-016-0113-y · Cited by 135
Genetic prediction of complex traits with polygenic scores: a statistical review
Ma, Y., & Zhou, X. (2021) · Trends in Genetics · doi:10.1016/j.tig.2021.06.004 · Cited by 136
Family history of rheumatoid arthritis: an old concept with new developments
Frisell, T., Saevarsdóttir, S., & Askling, J. (2016) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2016.52 · Cited by 137
Update on the genetic architecture of rheumatoid arthritis
Kim, K.-W., Bang, S., Lee, H., & Bae, S. (2016) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2016.176 · Cited by 136
Estimating Biomass and Canopy Height With LiDAR for Field Crop Breeding
Walter, J., Edwards, J., McDonald, G., & Kuchel, H. (2019) · Frontiers in Plant Science · doi:10.3389/fpls.2019.01145 · Cited by 131
Debiased inverse-variance weighted estimator in two-sample summary-data Mendelian randomization
Ye, T., Shao, J., & Kang, H. (2021) · The Annals of Statistics · doi:10.1214/20-aos2027 · Cited by 139
The Wilson Effect: The increase in heritability of IQ with age
Bouchard, T. J. (2013) · Twin Research and Human Genetics · doi:10.1017/thg.2013.54 · Cited by 139
Molecular Genetics and Economics
Beauchamp, J. P., Cesarini, D. A., Johannesson, M., van der Loos, M. J. H. M., Koellinger, P., Groenen, P. J. F., Fowler, J. H., Rosenquist, J. N., Thurik, R., & Christakis, N. A. (2011) · The Journal of Economic Perspectives · doi:10.1257/jep.25.4.57 · Cited by 132
Heritability analysis with repeat measurements and its application to resting-state functional connectivity
Ge, T., Holmes, A. J., Buckner, R. L., Smoller, J. W., & Sabuncu, M. R. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1700765114 · Cited by 130
A unified framework for variance component estimation with summary statistics in genome-wide association studies
Zhou, X. (2017) · The Annals of Applied Statistics · doi:10.1214/17-aoas1052 · Cited by 121
Metabolomics analysis and metabolite‐agronomic trait associations using kernels of wheat (Triticum aestivum) recombinant inbred lines
Shi, T., Zhu, A., Jia, J., Hu, X., Chen, J., Liu, W., Ren, X., Sun, D., Fernie, A. R., Cui, F., et al. (2020) · The Plant Journal · doi:10.1111/tpj.14727 · Cited by 130
Quantifying Missing Heritability at Known GWAS Loci
Gusev, A., Bhatia, G., Zaitlen, N., Vilhjálmsson, B. J., Diogo, D., Stahl, E. A., Gregersen, P. K., Worthington, J., Klareskog, L., Raychaudhuri, S., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003993 · Cited by 125
An Evolutionary Perspective on Epistasis and the Missing Heritability
Hemani, G., Knott, S., & Haley, C. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003295 · Cited by 126
Heritability and the Equal Environments Assumption: Evidence from Multiple Samples of Misclassified Twins
Conley, D., Rauscher, E., Dawes, C., Magnusson, P. K. E., & Siegal, M. L. (2013) · Behavior Genetics · doi:10.1007/s10519-013-9602-1 · Cited by 102
The genetic basis of music ability
Tan, Y. T., McPherson, G. E., Peretz, I., Berkovic, S. F., & Wilson, S. J. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00658 · Cited by 133
Epidemiology and Heritability of Major Depressive Disorder, Stratified by Age of Onset, Sex, and Illness Course in Generation Scotland: Scottish Family Health Study (GS:SFHS)
Fernandez-Pujals, A. M., Adams, M. J., Thomson, P. A., McKechanie, A. G., Blackwood, D., Smith, B. H., Dominiczak, A. F., Morris, A. D., Matthews, K., Campbell, A., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0142197 · Cited by 132
Dissection of genetic variation and evidence for pleiotropy in male pattern baldness
Yap, C. X., Sidorenko, J., Wu, Y., Kemper, K. E., Yang, J., Wray, N. R., Robinson, M. R., & Visscher, P. M. (2018) · Nature Communications · doi:10.1038/s41467-018-07862-y · Cited by 124
Self-citation
Therapy‐related myeloid neoplasms: pathobiology and clinical characteristics
Sill, H., Olipitz, W., Zebisch, A., Schulz, E., & Wölfler, A. (2010) · British Journal of Pharmacology · doi:10.1111/j.1476-5381.2010.01100.x · Cited by 127
Height and Earnings: The Role of Cognitive and Noncognitive Skills
Lundborg, P., Nystedt, P., & Rooth, D. (2014) · The Journal of Human Resources · doi:10.3368/jhr.49.1.141 · Cited by 121
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 125
“Reports of My Death Were Greatly Exaggerated”: Behavior Genetics in the Postgenomic Era
Harden, K. P. (2020) · Annual Review of Psychology · doi:10.1146/annurev-psych-052220-103822 · Cited by 125
Neutral and adaptive genetic diversity in plants: An overview
Chung, M. Y., Merilä, J., Li, J., Mao, K., López-Pujol, J., Tsumura, Y., & Chung, M. (2023) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2023.1116814 · Cited by 110
The conundrum of human immune system “senescence”
Pawelec, G., Bronikowski, A. M., Cunnane, S. C., Ferrucci, L., Franceschi, C., Fülöp, T., Gaudreau, P., Gladyshev, V. N., Gonos, E. S., Gorbunova, V. A., et al. (2020) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2020.111357 · Cited by 121
Epigenetic supersimilarity of monozygotic twin pairs
Baak, T. E. V., Coarfa, C., Dugué, P., Fiorito, G., Laritsky, E., Baker, M. S., Kessler, N. J., Dong, J., Duryea, J., Silver, M. J., et al. (2018) · Genome biology · doi:10.1186/s13059-017-1374-0 · Cited by 114
Human‐directed social behaviour in dogs shows significant heritability
Persson, M. E., Roth, L. S. V., Johnsson, M., Wright, D., & Jensen, P. H. K. (2015) · Genes Brain & Behavior · doi:10.1111/gbb.12194 · Cited by 117
Integrating Genetics and Social Science: Genetic Risk Scores
Belsky, D. W., & Israel, S. (2014) · Biodemography and Social Biology · doi:10.1080/19485565.2014.946591 · Cited by 118
Detecting polygenic selection in marine populations by combining population genomics and quantitative genetics approaches
Gagnaire, P., & Gaggiotti, O. E. (2016) · Current Zoology · doi:10.1093/cz/zow088 · Cited by 123
Asthma Genetics in the Post-GWAS Era
Ober, C. (2016) · Annals of the American Thoracic Society · doi:10.1513/annalsats.201507-459mg · Cited by 121
Correcting for Population Structure and Kinship Using the Linear Mixed Model: Theory and Extensions
Hoffman, G. E. (2013) · PLoS ONE · doi:10.1371/journal.pone.0075707 · Cited by 115
Genetic influence on social outcomes during and after the Soviet era in Estonia
Rimfeld, K., Krapohl, E. M. L., Trzaskowski, M., Coleman, J. R. I., Selzam, S., Dale, P. S., Esko, T., Metspalu, A., & Plomin, R. J. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0332-5 · Cited by 118
Heritability of chronic venous disease
Fiebig, A., Krusche, P., Wolf, A., Krawczak, M., Timm, B., Nikolaus, S., Frings, N., & Schreiber, S. (2010) · Human Genetics · doi:10.1007/s00439-010-0812-9 · Cited by 113
Heritability of the Symbiodinium community in vertically- and horizontally-transmitting broadcast spawning corals
Quigley, K. M., Willis, B. L., & Bay, L. K. (2017) · Scientific Reports · doi:10.1038/s41598-017-08179-4 · Cited by 120
Comparison of Family History and SNPs for Predicting Risk of Complex Disease
Do, C. B., Hinds, D. A., Francke, U., & Eriksson, N. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002973 · Cited by 118
Myopia: is the nature‐nurture debate finally over?
Morgan, I. G., & Rose, K. A. (2018) · Clinical and Experimental Optometry · doi:10.1111/cxo.12845 · Cited by 117
Disease Heritability Inferred from Familial Relationships Reported in Medical Records
Polubriaginof, F. C. G., Vanguri, R., Quinnies, K. M., Belbin, G. M., Yahi, A., Salmasian, H., Lorberbaum, T., Nwankwo, V., Li, L., Shervey, M. M., et al. (2018) · Cell · doi:10.1016/j.cell.2018.04.032 · Cited by 106
Intelligence, health and death
Deary, I. J., Hill, W. D., & Galé, C. R. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01078-9 · Cited by 111
Self-citation
Infection and Inflammation in Schizophrenia and Bipolar Disorder: A Genome Wide Study for Interactions with Genetic Variation
Avramopoulos, D., Pearce, B. D., McGrath, J. A., Wolyniec, P. S., Wang, R., Eckart, N., Hatzimanolis, A., Goes, F. S., Nestadt, G., Mullé, J. G., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0116696 · Cited by 115
The role of the microbiota in human genetic adaptation
Suzuki, T. A., & Ley, R. E. (2020) · Science · doi:10.1126/science.aaz6827 · Cited by 110
Heritability Estimates Identify a Substantial Genetic Contribution to Risk and Outcome of Intracerebral Hemorrhage
Devan, W. J., Falcone, G. J., Anderson, C. D., Jagiella, J. M., Schmidt, H., Hansen, B. M., Jiménez-Conde, J., Steinhauer, E. G., Cuadrado‐Godia, E., Soriano‐Tárraga, C., et al. (2013) · Stroke · doi:10.1161/strokeaha.111.000089 · Cited by 110
Bridging the gap between the genotype and the phenotype: linking genetic variation, selection and adaptation in fishes
Naish, K. A., & Hard, J. J. (2008) · Fish and Fisheries · doi:10.1111/j.1467-2979.2008.00302.x · Cited by 113
Pharmacogenetics and Pharmacogenomics: a Bridge to Individualized Cancer Therapy
Weng, L., Zhang, L., Peng, Y., & Huang, R. S. (2013) · Pharmacogenomics · doi:10.2217/pgs.12.213 · Cited by 107
Using whole-genome SNP data to reconstruct a large multi-generation pedigree in apple germplasm
Muranty, H., Denancé, C., Feugey, L., Crépin, J.-L., Barbier, Y., Tartarini, S., Ordidge, M., Troggio, M., Lateur, M., Nybom, H., et al. (2020) · BMC Plant Biology · doi:10.1186/s12870-019-2171-6 · Cited by 106
Interpreting polygenic scores, polygenic adaptation, and human phenotypic differences
Rosenberg, N. A., Edge, M. D., Pritchard, J. K., & Feldman, M. W. (2019) · Evolution, Medicine, and Public Health · doi:10.1093/emph/eoy036 · Cited by 105
“Earlier studies of the role of genetics in phenotypic differences among populations often relied on statistics such as heritabilities—fractions of phenotypic variance explained by genetic variation [25]—which require no knowledge of contributing genetic variants.”
An evolving scientific basis for the prevention and treatment of pediatric obesity
Katzmarzyk, P. T., Barlow, S. E., Bouchard, C., Catalano, P. M., Hsia, D. S., Inge, T. H., Lovelady, C., Raynor, H. A., Redman, L. M., Staiano, A. E., et al. (2014) · International Journal of Obesity · doi:10.1038/ijo.2014.49 · Cited by 106
Bridging the explanatory gaps: What can we learn from a biological agency perspective?
Sultan, S. E., Moczek, A. P., & Walsh, D. M. (2021) · BioEssays · doi:10.1002/bies.202100185 · Cited by 117
A uniform survey of allele-specific binding and expression over 1000-Genomes-Project individuals
Chen, J., Rozowsky, J. S., Galeev, T. R., Harmanci, A. O., Kitchen, R. R., Bedford, J., Abyzov, A. S., Kong, Y., Regan, L., & Gerstein, M. (2016) · Nature Communications · doi:10.1038/ncomms11101 · Cited by 105

Authors: Visscher, P. M., Hill, W. G., & Wray, N. R.
Affiliations: QIMR Berghofer Medical Research Institute (AU)
University of Edinburgh (GB)
Corresponding author: Visscher, Peter M.
ORCID: Visscher, Peter M.
Hill, William G.
Wray, Naomi R.
Venue: Nature Reviews Genetics
Publisher: Springer Science and Business Media LLC
Published: 2008-03-04
Volume: 9
Issue: 4
Pages: 255-266
ISSN: 1471-0056 (ISSN-L)
1471-0064
DOI: 10.1038/nrg2322
OpenAlex: W2086799994
Cited by: 1,921
References: 118
Citations by year: 2026: 75 · 2025: 112 · 2024: 88 · 2023: 117 · 2022: 135 · 2021: 132 · 2020: 140 · 2019: 126 · 2018: 119 · 2017: 113 · 2016: 112 · 2015: 109 · 2014: 126 · 2013: 120 · 2012: 110
FWCI: 5.71
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Nature Reviews Genetics (publishedVersion)
PubMed (publishedVersion)
Funders: Australian Research Council
National Health and Medical Research Council
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
Keywords: heritability, gene-environment interaction, genetic variation, heritability of gene expression, heritability estimation, selection response, disease risk prediction, Sewall Wright, Ronald Fisher
MeSH terms: Analysis of Variance, Animals, Bayes Theorem, Biological Evolution, Female, Humans, Inbreeding, Male, Models, Genetic, Phenotype, Regression Analysis, Selection, Genetic, Gene Expression, Linear Models, Quantitative Trait, Heritable, Genomics

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

Heritability in the genomics era — concepts and misconceptions

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks