Relevant bibliographies by topics / Heritabilitiy

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Academic literature on the topic 'Heritabilitiy'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Heritabilitiy"

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Sari, Eka Meutia, Mohd Agus Nashri Abdullah, and Cut Hasnani. "Estimasi Nilai Heritabilitas Sifat Kuantitatif Sapi Aceh." Jurnal Agripet 16, no. 1 (April 1, 2016): 37. http://dx.doi.org/10.17969/agripet.v16i1.3530.

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ABSTRAK. Tujuan penelitian ini untuk mengestimasi nilai heritabilitas sifat kuantitatif pada sapi Aceh. Penelitian ini dilaksanakan di Balai Pembibitan Ternak Unggul (BPTU) Indrapuri Aceh Besar, dengan menggunakan metode survey (data primer dan data sekunder), dan analisis data menggunakan Rancangan Acak Lengkap Pola Searah. Parameter yang diamati dalam penelitian ini adalah nilai heritabilitas sifat kuantitatif meliputi panjang badan, tinggi gumba, lingkar dada, bobot lahir dan bobot sapih. Nilai heritabilitas bobot lahir 0,06 ± 0,29, bobot setahun 0,12 ± 0,32, bobot satu setengah tahun 0,37 ± 0,41. Hasil penelitian menunjukkan bahwa sifat kuantitatif pada sapi Aceh memiliki nilai heritabilitas yang rendah (bobot lahir) dan sedang (bobot setengah tahun). Perbedaan nilai heritabilitas disebabkan karena jumlah sampel yang digunakan, tempat dan waktu penelitian dan metode perhitungan yang berbeda. (Heritability estimation of quantitative traits in Aceh cattle) ABSTRACT. The objective of this research was to estimate the heritability of quantitative trait of Aceh cattle. This research was conducted in BPTU Indrapuri, Aceh Besar. The method used was survey, and the Completely Randomized Design Pattern Unidirectional was used to analyze the data. The parameter which was observed in this research was the heritability of quantitative trait including body length, body height, chest size, birth weight and weaning weight. Heritability for birthweight 0.06 ± 0.29, for yearling weight 0.12 ± 0.32, and heritability for the weight of one and a half years 0.37 ± 0.41. The result shows that the heritability of quantitative traits in Aceh cattle was low (birth weight). The difference in heritability was due to the number of samples used, the place and time of the research and different calculation methods.
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Gezan, Salvador A., Timothy L. White, and Dudley A. Huber. "Achieving higher heritabilities through improved design and analysis of clonal trials." Canadian Journal of Forest Research 36, no. 9 (September 1, 2006): 2148–56. http://dx.doi.org/10.1139/x06-113.

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Clonal testing was studied under different environmental patterns and experimental designs through simulation with the criteria of maximizing broad-sense heritability estimates and genetic gain from clonal selection. Several experimental designs were studied together with three patterns of environmental variability. In addition, empirical 95% confidence intervals for heritability estimates were compared with Dickerson's approximate method. Other elements studied included (i) conditions under which different environmental patterns yield high or low heritabilities and (ii) effects of varying the number of ramets per clone. Row-column designs produced the highest mean individual broad- sense heritability, but these designs were only slightly more efficient than incomplete block designs with small block sizes. For all experimental designs, Dickerson's approximate method for estimating the variance of heritability estimates produced reasonable 95% confidence intervals but overestimated the upper confidence limit of complex designs. Larger heritabilities were found with higher tree-to-tree spatial correlations and lower amounts of microsite residual variance, and varying gradients had negligible influence. The effect of implementing Latinization was significant on increasing heritability, but small in practical terms, and was more important for patchy surfaces. Experiments with more ramets per clone yielded higher clonal mean heritabilities, and using between four and six ramets per clone per site is recommended.
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Qadri, Aliyul, Erita Hayati, and Efendi Efendi. "Pendugaan Nilai Heritabilitas Karakter Agronomi Tanaman Padi (Oryza sativa L) Generasi F2." Jurnal Ilmiah Mahasiswa Pertanian 3, no. 4 (April 5, 2020): 125–31. http://dx.doi.org/10.17969/jimfp.v3i4.9197.

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Abstrak. Penelitian bertujuan untuk mendapatkan informasi tingkat heritabilitas tanaman padi generasi F2 hasil persilangan varietas Batutegi dangan IRBB-27. Penelitian ini dilaksanakan di rumah kaca Fakultas Pertanian, Universitas Syiah Kuala, Darussalam Banda Aceh. Pelaksanaan penelitian dimulai dari April sampai September 2017. Pendugaan nilai heritabilitas pada penelitian ini menggunakan pendugaan ragam lingkungan tidak langsung metode Mahmud-Kramer (Broad sense-per tanaman). Pendugaan nilai heritabilitas ini menggunakan data populasi P1, P2, dan F2. P1 dan P2 merupakan galur murni, sedangkan F2 merupakan turunan kedua dari persilangan P1 dan P2. Ragam fenotipe (σ2P) diduga dari σ2F2. Ragam lingkungan (σ2E) diduga dari √(σ2P1)(σ2P2). Pada karakter tinggi tanaman, jumlah malai, berat malai, berat 1000 butir, umur paner, dan potensi hasil memiliki nilai heritabilitas 92%, 55%, 51%, 89%, 64% dan 60% dengan kriteria tinggi. Sedangkan karakter panjang malai, dan persentase gabah bernas, memiliki nilai heritabilitas 29% dan 33% dengan kriteria sedang.Estimating the Heritability Value of Agronimic Character of Rice (Oryza sativa L) Generation F2Abstract. The aim of this research was to obtain information on the level of heritability of generation F2 rice produced by crossing of the Batutegi variety with IRBB-27. This research was carried out in the greenhouse of the Faculty of Agriculture, Syiah Kuala University, Darussalam Banda Aceh. The research starts from April to September 2017. Estimating the heritability value in this study uses indirect environmental estimation of the Mahmud-Kramer method (Broad sense- plant). Estimating this heritability value uses population data P1, P2 and F2. P1 and P2 are pure strains, while F2 is the second derivative of P1 and P2 crosses. Phenotype variance (σ2P) is assumed to be from σ2F2. Environmental variance (σ2E) is assumed to be from √(σ2P1) (σ2P2). In the character of plant height, panicle number, panicle weight, 1000 grain weight, paner age, and yield potential has a heritability value of 92%, 55%, 51%, 89%, 64% and 60% with high criteria. While the panicle length character, and the percentage of pithy grain, has a heritability value of 29% and 33% with medium criteria.
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Dudi, N. Hilmia Dedi Rahmat. "EVALUASI BOBOT LAHIR DAN NILAI HERITABILITASNYA PADA SAPI BALI DI BPTU HPT PULUKAN BALI (Evaluated Means of Birth Weight and it’s Heritability Value in Bali Cattle at BPTU HMT Denpasar Bali)." JANHUS: Jurnal Ilmu Peternakan Journal of Animal Husbandry Science 2, no. 1 (March 29, 2018): 13. http://dx.doi.org/10.52434/janhus.v2i1.257.

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Abstrak Bobot lahir merupakan parameter awal di dalam mengidentifikasi produktivitas seekor ternak dan pendugaan nilai heritabilitas suatu sifat merupakan parameter genetik yang penting didalm melakukan seleksi berdasarkan sifat tersebut. Penelitian ini bertujuan untuk mengevaluasi bobot lahir dan nilai heritabilitasnya pada sapi Bali di BPTU HMT Denpasar yang dapat digunakan sebagai dasar seleksi bibit berdasarkan bobot lahir. Peneilitian ini menggunakan 100 data bobot lahir sapi Bali, yang diperoleh dari 58 ekor sapi betina dan 42 ekor sapi jantan, sedangkan pendugaan heritabilitas bobot lahir menggunakan 99 data bobot lahir berasal dari 99 ekor induk dan lima pejantan. Bobot lahir dievaluasi menggunakan statistik deskriptif dan pendugaan nilai heritabilitas dianalisis menggunakan analisis sidik ragam pola Half sib. Hasil penelitian menunjukkan bobot lahir sapi Bali betina adalah 18,95 ± 2,16 kg dan jantan adalah 20,12 ± 2,19 kg. Nilai heritabilitas bobot lahir sapi Bali adalah 0,024 ± 0,08. Nilai heritabilitas bobot lahir di BPTU HMT Denpasar termasuk dalam kategori rendah. Kata Kunci : Sapi Bali, Bobot Lahir, Heritabilitas Abstract Birth weight is the initial parameter to identify livestock productivity and estimated heritability value of the trait is an important genetic parameter to do the selection based on that trait. The objectives of this study were evaluated means of birth weight and it’s heritability value in Bali cattle at BPTU HMT Denpasar Bali, which can be used as the base of selection. This research used 100 birth weight data of Bali cattle, obtained from 58 female and 42 male calves, whereas the estimation of birth weight heritability using 99 birth weight data from 99 cows and five bulls. Birth weight was evaluated using descriptive statistic and estimated heritability value was analyzed using ANOVA (analysis of variance) based on pathernal half sib correlation. The results showed that the birth weight of female and males calves were 18.95 ± 2.16 kg 20.12 ± 2.19 kg respectively. The birth weight estimated heritability value of Bali cattle in BPTU HMT Denpasar was 0.024 ± 0.08 . this value was in low category. Keywords : Bali cattle, Birth weight, Heretability
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Mckeand, S. E., B. Li, J. E. Grissom, F. Isik, and K. J. S. Jayawickrama. "Genetic Parameter Estimates for Growth Traits from Diallel Tests of Loblolly Pine Throughout the Southeastern United States." Silvae Genetica 57, no. 1-6 (December 1, 2008): 101–10. http://dx.doi.org/10.1515/sg-2008-0016.

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Abstract Variation in heritability and in genetic correlation estimates were evaluated for juvenile tree height and volume for six testing areas of loblolly pine (Pinus taeda L.) in the southeastern United States. Variance components and their functions (heritability and type B genetic correlations) were estimated from 265 six-parent disconnected diallel series, tested in almost 1000 trials (4 tests per diallel series). Original data were collected at age 6 years from about one million trees (265 diallel series x 30 crosses x 36 trees per cross/site x 4 sites) planted in field tests. Genetic tests were from the second cycle of breeding in the North Carolina State University - Industry Cooperative Tree Improvement Program. The overall unbiased individual-tree narrow-sense heritability for height was 0.19 and for volume was 0.16. The broad-sense heritabilities for height (0.24) and for volume (0.22) were higher than narrow-sense heritabilities due to the presence of non-additive genetic variance. There were moderate regional differences in these estimates, with tests in the Lower Gulf Coastal Plain tending to have the highest heritabilities for growth traits. There was very little association between site index and heritability, but heritabilities were higher on sites with the highest survival and highest test precision. Genotype x environment interactions were generally low both for half-sib and full-sib families, indicating that families can be operationally deployed to different sites with little concern about unpredictable performance.
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Beekman, Marian, Bastiaan T. Heijmans, Nicholas G. Martin, Nancy L. Pedersen, John B. Whitfield, Ulf DeFaire, G. Caroline M. van Baal, et al. "Heritabilities of Apolipoprotein and Lipid Levels in Three Countries." Twin Research 5, no. 2 (April 1, 2002): 87–97. http://dx.doi.org/10.1375/twin.5.2.87.

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AbstractThis study investigated the influence of genes and environment on the variation of apolipoprotein and lipid levels, which are important intermediate phenotypes in the pathways toward cardiovascular disease. Heritability estimates are presented, including those for apolipoprotein E and AII levels which have rarely been reported before. We studied twin samples from the Netherlands (two cohorts;n= 160 pairs, aged 13–22 andn= 204 pairs, aged 34–62), Australia (n= 1362 pairs, aged 28–92) and Sweden (n= 302 pairs, aged 42–88). The variation of apolipoprotein and lipid levels depended largely on the influences of additive genetic factors in each twin sample. There was no significant evidence for the influence of common environment. No sex differences in heritability estimates for any phenotype in any of the samples were observed. Heritabilities ranged from 0.48–0.87, with most heritabilities exceeding 0.60. The heritability estimates in the Dutch samples were significantly higher than in the Australian sample. The heritabilities for the Swedish were intermediate to the Dutch and the Australian samples and not significantly different from the heritabilities in these other two samples. Although sample specific effects are present, we have shown that genes play a major role in determining the variance of apolipoprotein and lipid levels in four independent twin samples from three different countries.
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Barmawi, Maimun. "POLA SEGREGASI DAN HERITABILITAS SIFAT KETAHANAN KEDELAI TERHADAP COWPEA MILD MOTTLE VIRUS POPULASI WILIS X MLG2521." Jurnal Hama dan Penyakit Tumbuhan Tropika 7, no. 1 (March 4, 2007): 48–52. http://dx.doi.org/10.23960/j.hptt.1748-52.

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Segregation and Heritability of Cowpea Mild Mottle Virus Resistant Characters of Soybean Genotypes from Crosses Between Wilis and Mlg2521 Population. This research was conducted within July to October, 2005 at experiment station of Lampung University. The aims of this research were to evaluate the segreation and heritability of resitant characters at F2 population of Wilis x Mlg2521. The result showed that segregation of resistant characters segretate 13:3 of succeptible and resistant genotypes. Heritability in the narrow sense based on disease severity was 13,18% (low) and heritabilitas heritability in the broad-sense was 80,91% (high).
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Crusio, Wim E. "Heritability estimates in behavior genetics: Wasn't that station passed long ago?" Behavioral and Brain Sciences 35, no. 5 (October 2012): 361–62. http://dx.doi.org/10.1017/s0140525x12000970.

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AbstractCharney describes several mechanisms that will bias estimates of heritability in unpredictable directions. In addition, the mechanisms described by Charney explain the puzzling fact that research in human-behavior genetics routinely reports higher heritabilities than animal studies do. However, I argue that the concept of heritability has no real place in human research anyway.
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Borralho, N. M. G. "Heterogeneous selfing rates and dominance effects in estimating heritabilities from open-pollinated progeny." Canadian Journal of Forest Research 24, no. 5 (May 1, 1994): 1079–82. http://dx.doi.org/10.1139/x94-143.

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Estimates of heritability from open-pollinated progeny trials were generally biased by heterogeneous selfing across families and by the presence of dominance, even when the intraclass correlation between sibs was adjusted for the average number of full- and half-sibs and for relatedness among the parents in the population. For high levels of selfing, with a constant selfing rate and inbreeding depression across families, dominance causes a downward bias in the heritabilities. Where rates of selfing and inbreeding depression varied, heritability was overestimated. However, except for low heritabilities, bias was of little practical importance, providing the correct coefficient of relationship among open-pollinated progeny was used.
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Magnussen, Steen. "A distribution model for heritability." Genome 35, no. 6 (December 1, 1992): 931–38. http://dx.doi.org/10.1139/g92-143.

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A regression model to predict quantiles of narrow sense individual and family mean heritabilities is developed and used to predict confidence intervals either directly or via a generalized beta distribution model. Extensive simulations of balanced sib analysis trials in randomized complete block designs and normal distributed environmental and additive genetic effects confirmed that heritabilities follow a beta distribution even in cases with up to 10% of the data missing at random. The new model is both more accurate and more precise than commonly used alternatives based on "exact" χ2 distributions and Satterthwaites approximations to the degrees of freedom. Estimates of the expected heritability and a Taylor approximation of the standard error of the heritability are needed as input to the quantile model. Applications of the presented models for estimating confidence intervals and as an aid in the design of experiments are provided.Key words: heritability, confidence intervals, beta distribution, quantiles, experimental design.
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Dissertations / Theses on the topic "Heritabilitiy"

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Ma, Liang. "Genetic studies for aquaculture and stock-enhancement of red drum (Sciaenops ocellatus)." Texas A&M University, 2003. http://hdl.handle.net/1969.1/6012.

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Hypervariable, nuclear-encoded microsatellites were used to (i) estimate genetic effective size (Ne) of red drum spawning over a two-week period in nine brood tanks at a TPWD hatchery; (ii) estimate heritability of early-larval growth and of growth rate and cold tolerance of juveniles; and (iii) test Mendelian segregation and independent assortment of 31 nuclear-encoded microsatellites. Assuming all tanks contributed equally to an offspring population, the maximum (expected) and observed Ne over the nine brood tanks was 43.2 and 27.0, respectively. The estimate of Ne based on observed variation in family size was 19.4. Simulations indicated that over a limited time period the simplest approach to maximizing Ne for a release population would be to utilize equal numbers of progeny from each brood tank. A family (genetic) effect was found to contribute significantly to the variance in early larval growth, juvenile growth rate, and cold tolerance. Estimates of narrow-sense heritability for these three traits were 0.07 +- 0.03, 0.52 +- 0.21 and 0.20 +- 0.10 (two growth intervals measured), and 0.30 +- 0.11, respectively, under the genetic models employed. The relatively low estimate of heritability for early larval growth suggests that genetic improvement for this trait likely would be slow. The heritability estimates for juvenile growth rate and cold tolerance, alternatively, suggest that genetic selection for these traits could be effective. Segregation at all 31 microsatellites fit Mendelian expectations for autosomal loci; a null allele was inferred at two of the microsatellites. Results from pairwise tests of independent assortment demonstrated that 20 of the 31 microsatellites could be placed into seven linkage groups. Additional linkage groups inferred from a prior study increased the number of inferred linkage groups in red drum to nine, with a range of two - five (avg. = 2.78) microsatellites in each linkage group. The remaining 11 microsatellites tested in this study assorted independently from all other microsatellites, suggesting the possibility of 11 additional linkage groups.
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Trzaskowski, Maclej. "Heritability and missing heritability : can twin studies be trusted?" Thesis, King's College London (University of London), 2013. https://kclpure.kcl.ac.uk/portal/en/theses/heritability-and-missing-heritability(e8934ae4-4be3-4179-8fb6-31700968f1a2).html.

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'Missing heritability' is the discrepancy between the amount of variance explained by specific single nucleotide polymorphisms (SNPs) identified in genome-wide association (GWA) and twin-estimated heritability. Four categories of explanations have been proposed for missing heritability: (1) additive effect sizes of common single nucleotide polymorphisms (SNPs) used in GWAS are too small to detect with current sample sizes; (2) rare variants are not captured by commercial arrays; (3) nonadditive effects (allelic, gene-gene or gene-environment interactions); (4) twin estimates of heritability are inflated. A recently developed quantitative method that uses GWA data- Genome-wide Complex Trait Analysis (GCTA)- has made it possible to explore these issues as it allows to compare quantitative twin-based estimates with quantitative DNA-based estimates. I use data from an on-going longitudinal study of 14,000 twins (7000 pairs) born in the UK between 1994 and 1996 called the Twins Early Development Study (TEDS) to investigate the following: the proportion of twin heritability that can be explained by additive effects of common SNPs (Chapters 2, 3 and 4); increasing heritability across development in the presence of strong genetic stability (Chapters 5 and 6); and genetic pleiotropy (Chapter 7). In Chapters 2, 3 and 4, Iapply univariate twin, GWA and GCTA methods to demonstrate that although we are still far from closing the gap between heritability and the actual genetic variants, there still is scope for discovery of common additive genetic effects. In Chapters 5, 6 and 7, I employ bivariate GCTA, polygenic predictor scores (PGS) and twin estimates from the same sample to confirm that twin estimates and DNA estimates of genetic pleiotropy and stability concur. In conclusion, in this thesis I provide evidence that much of the so-called 'missing heritability' can be explained by common additive genetic effects and that phenomena from twin research can be replicated using DNA alone.
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Meehan, Anna, and Henrik Evertsson. "Genetic and Environmental Influences on Psychopathic Personality Traits : A Meta-Analytic Review." Thesis, Örebro universitet, Institutionen för juridik, psykologi och socialt arbete, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-27685.

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To understand the etiology of psychopathic personality traits and thus in the long run to be able to develop successful prevention, a first step is to find out what role genetic and environmental effects play. A meta-review of 15 twin studies (N=26, 981), was conducted to estimate the magnitude of genetic and environmental influences on psychopathic personality traits. The results show that additive genetic (heritable) factors and non-shared environmental factors each explain 50% of the variance in psychopathic personality traits, while shared environmental factors were of no importance. Measure, informant, age, and sex were investigated as potential moderators showing that informant had an impact on the findings. This meta-analysis provides a structured synthesis of the relative genetic and environmental contributions in psychopathic personality traits through various stages of development and across sex.
För att förstå etiologin av psykopatiska personlighetsdrag och därmed i det långa loppet kunna utveckla framgångsrik prevention, är ett första steg att klargöra vilken roll genetiska och miljömässiga effekter spelar. En meta-översikt på 15 tvillingstudier (N=26,981), genomfördes för att uppskatta i vilken grad genetiska och miljömässiga faktorer påverkar psykopatiska personlighetsdrag. Resultaten visade att additiva genetiska (ärftliga) och unika miljömässiga faktorer förklarar 50% var av variansen i psykopatiska personlighetsdrag, medan delade miljömässiga faktorer inte var av betydelse. Mått, informant, ålder och kön undersöktes som potentiella moderatorer och visade att informant påverkade resultaten. Denna meta-analys ger en strukturerad syntes av de relativa genetiska och miljömässiga bidrag som påverkar psykopatiska personlighetsdrag genom olika utvecklingsstadier och mellan könen.
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Langstaff, Helen Katherine. "The heritability of facial morphology." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/25447.

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Facial recognition methodologies, widely used today in everything from automatic passport controls at airports to unlocking devices on mobile phones, has developed greatly in recent years. The methodologies vary from feature based landmark comparisons in 2D and 3D, utilising Principal Component Analysis (PCA) to surface-based Iterative Closest Point Algorithm (ICP) analysis and a wide variety of techniques in between. The aim of all facial recognition software (FCS) is to find or match a target face with a reference face of a known individual from an existing database. FCS, however, faces many challenges including temporal variations due to development/ageing and variations in facial expression. To determine any quantifiable heritability of facial morphology using this resource, one has to look for faces with enough demonstrable similarities to predict a possible genetic link, instead of the ordinary matching of the same individual’s face in different instances. With the exception of identical twins, this means the introduction of many more variables into the equation of how to relate faces to each other. Variation due to both developmental and degenerative aging becomes a much greater issue than in previous matching situations, especially when comparing parents with children. Additionally, sexual dimorphism is encountered with cross gender relationships, for example, between mothers and sons. Non-inherited variables are also encountered such as BMI, facial disfigurement and the effects of dental work and tooth loss. For this study a Trimmed Iterative Closest Point Algorithm (TrICP) was applied to three-dimensional surfaces scans, created using a white light scanner and Flexscan 3D, of the faces of 41 families consisting of 139 individuals. The TrICP algorithm produced 7176 Mesh-to-mesh Values (MMV) for each of seven sections of the face (Whole face, Eyes, Nose, Mouth, Eyes-Nose, Eyes-Nose-Mouth, and Eyes-Nose- Mouth-Chin). Receiver Operated Characteristic (ROC) analysis was then conducted for each of the seven sections of the face within 11 predetermined categories of relationship, in order to assess the utility of the method for predicting familial relationships (sensitivity/specificity). Additionally, the MMVs of three single features, (eyes, nose and mouth) were combined to form four combination areas which were analysed within the same 11 relationship categories. Overall the relationship between sisters showed the most similarity across all areas of the face with the clear exception of the mouth. Where female to female comparison was conducted the mouth consistently negatively affected the results. The father-daughter relationship showed the least similarity overall and was only significant for three of the 11 portions of the face. In general, the combination of three single features achieved greater accuracy as shown by Areas Under the Curve (AUC) than all other portions of the face and single features were less predictive than the face as a whole.
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Thomas, Stuart C. "Estimation of heritability using inferred relationships." Thesis, University of Edinburgh, 2001. http://hdl.handle.net/1842/11464.

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Two existing estimators use inferred relationship information on a pair-wise level: regression of the phenotypic similarity of a pair of individuals on an estimate of their relationship and a likelihood procedure that maximises the probability of their genotypic and phenotypic observations. Computer simulation was used to compare the behaviour of these approaches. Bias in estimates of heritability decreased with increasing sample size, decreased heritability, increasing relatedness and increasing sample size. The regression approach showed less bias than the likelihood approach, but much larger sampling variance. A modified form of the likelihood technique, requiring fewer initial assumptions about population parameters was developed, which showed lower bias in its estimates of heritability than the likelihood technique originally proposed. An alternative approach in which marker-information was used to reconstruct sibships through relationship assignment within a single generation using Markov chain Monte Carlo (MCMC) techniques was developed. The reconstructed sibships were assumed correct and analysed using restricted maximum likelihood under an animal model. Simulations to compare the properties of estimates with those made using existing techniques indicated that sibship reconstruction was, in many cases, superior to earlier methods, regaining family-specific weighting lost through pair-wise analysis, having lower mean squared errors and showing only slight downwards bias, provided that there was sufficient marker information. Equations appropriate for MCMC analysis of half-sib, full-sib and hierarchical sib-ship structures are presented. The approaches were extended so that information from other types of marker loci, for example mitochondrial or dominant loci, known maternal information and additional variance parameters can be incorporated into the analysis. Analysis using the technique was made of feral population of Soay sheep, with body weight being used as an example trait. Results indicated that the Soay population has a low level of relatedness and so heritability estimates were not reliable, unless inferred relationship data was used only to augment an existing set of known relationships.
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Carper, Benjamin Alan. "Assessing Multivariate Heritability through Nonparametric Methods." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2565.pdf.

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Graham, Nicholas Dale. "The Heritability of Refractive Error between Siblings." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1275350173.

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Vu, Alexander. "Sluggish Cognitve Tempo: Stability, Validity, and Heritability." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1446570242.

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Hodcroft, Emma B. "Estimating the heritability of virulence in HIV." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/15814.

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The rate that HIV-infected individuals progress to AIDS and death varies greatly. Viral load taken during the asymptomatic phase of the disease is one of the best-known predictors of HIV progression rate and transmission risk, and is known to be in uenced by both host and environmental factors. However, the role that the virus itself plays in determining the viral load is less clear. Previous studies have attempted to quantify the amount the viral genome in uences viral load, or the heritability of viral load, using transmission pairs and phylogenetic signal in small sample sizes, but have produced highly disparate estimates. E cient and accurate methods to estimate heritability have been utilised by quantitative geneticists for years, but are rarely applied to non-pedigree data. Here, I present a novel application of a population-scale method based in quantitative genetics to estimate the heritability of viral load in HIV using a viral phylogeny. This new phylogenetic method allows the inclusion of more samples than ever previously used, and avoids confounding e ects associated with transmission pair studies. This new method was applied to the two largest HIV subtypes found in the UK, subtypes B and C, using sequences and clinical data from UK-wide HIV databases. For subtype B (n=8,483) and C (n=1,821), I estimated that 5.7% (CI 2.8{8.6%) and 29.7% (CI 14.8{44.7%) of the variance in viral load is determined by the viral genome, respectively. These estimates suggest that viral in uence on viral load varies greatly between subtypes, with subtype C having much larger viral control over viral load than subtype B. I expanded the phylogenetic method to test whether the component of the viral load determined by the virus has changed over time. In subtype B, I foundevidence of a small but signi cant decrease in the viral component of viral load of -0.05 log10 copies/mL/yr. I built a stochastic, individual-based model capable of simulating a realistic HIV epidemic, with heritable viral loads that in uence transmission and disease progression, capable of generating data sets to assess the accuracy of phylogenetic methods. This was successfully used to generate epidemics approximating those in a small African village and a Western `men who have sex with men' community under a variety of conditions. To test the accuracy of the new phylogenetic heritability estimation method, simulated datasets were generated with the heritability of viral load set at values of 30%, 50%, 70%, and 90%. Unfortunately, complications in the heritability equation used prevented full assessment of the new phylogenetic method on the simulated data. Future development of the model will enable simulation of realistic viral loads under varying heritability values, enabling simulation of data sets that can be used to test this and other heritability estimation methods. This new phylogenetic method allows accurate estimation of heritability in large datasets, and has provided valuable insight into the viral in uence on viral load in HIV.
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Spooner, Simon K. "Predictors of hallux valgus : a study of heritability." Thesis, University of Leicester, 1997. http://hdl.handle.net/2381/8784.

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Hallux valgus is a complex progressive foot deformity of uncertain aetiology. The disorder is characterised by a lateral deviation of the hallux at the first metatarsophalangeal joint; an angle ≥ 15° is considered as clinical hallux valgus. A model that predicts first metatarsophalangeal joint angle and thus, hallux valgus is potentially very useful; enabling the clinician to identify individuals at risk of developing the disorder and to predict prognosis. The aim of this study is to develop such a model. The literature relating to hallux valgus identifies eight potential aetiological factors of hallux valgus. The scientific evidence presented in support of these suspected aetiological factors, and the theories of pathology of hallux valgus in association with these factors were critically evaluated by a review of the literature. Methods to evaluate the significance of these factors in hallux valgus were identified and appraised. These methods were applied to a large sample of genetically related individuals. The genetic and environmental influences affecting first metatarsophalangeal joint angle, pes planus, metatarsal formula, digital formula and first ray neutral position were explored through the statistical analysis of the data obtained from the sample. The results of analyses suggest that all of these variables are gender influenced, multifactorial traits. Further analysis of a subset of data generated a statistical model that relates the degree of hallux deviation at the fast metatarsophalangeal joint (and thus, the degree of hallux valgus) to clinically measurable predictor variables. A further subset of data was applied to test the model. The model was found to accurately predict first metatarsophalangeal joint angle in 92% of cases. Application of the model allows the clinician to evaluate an individual's risk of developing hallux valgus enabling accurate prognosis. Recommendations for achieving improved prognosis and the implications for future research are proposed.
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Books on the topic "Heritabilitiy"

1

IQ, heritability and racism. Ann Arbor, Mich: University Microfilms International, 1990.

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Sesardić, Neven. Making sense of heritability. Cambridge: Cambridge University Press, 2005.

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Making sense of heritability: How not to think about behavior genetics. New York: Cambridge University Press, 2005.

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Sharer, Shlomo E. Heritability of caffeine-induced skeletal muscle contracture in malignant hyperthermia susceptible families. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1992.

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Conley, Dalton. The equal environments assumption in the post-genomic age: Using misclassified twins to estimate bias in heritability models. Cambridge, MA: National Bureau of Economic Research, 2011.

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Tocheva, Stanka. Host exploitation at low temperatures by Trichogramma minutum Riley (Hymenoptera: Trichogrammatidae) heritability estimates, selection, and the effect of selection on associated biological characteristics. Ottawa: National Library of Canada, 1995.

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Sesardic, Neven. Making Sense of Heritability. Cambridge University Press, 2011.

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Kretschmer, Tina, and Matt DeLisi. Heritability of Antisocial Behavior. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199935383.013.128.

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This chapter reviews important strands of research on the heritability of antisocial behavior and crime, including both quantitative genetic studies using twin or adoption designs as well as molecular genetic approaches. Study designs are introduced and findings discussed. Contemporary avenues including gene-environment interplay and developmental models are presented. Overall it is concluded that a significant amount of variance in antisocial behavior and crime is attributable to genetic factors but conclusive knowledge on involvement of specific genes still absent. We conclude with a discussion of usage of genetic information in the criminal justice system and note future tasks for the field of bio-criminology.
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Block, Ned. How heritability misleads about race. 1995.

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Gelernter, Joel, and Murray B. Stein. Heritability and Genetics of Anxiety Disorders. Oxford University Press, 2008. http://dx.doi.org/10.1093/oxfordhb/9780195307030.013.0008.

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Book chapters on the topic "Heritabilitiy"

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Levesque, Roger J. R. "Heritability." In Encyclopedia of Adolescence, 1294–96. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-1695-2_679.

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Boie, Ioana. "Heritability." In Encyclopedia of Child Behavior and Development, 743–44. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_1352.

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Doolittle, Donald P. "Heritability." In Advanced Series in Agricultural Sciences, 183–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-71734-5_40.

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Bloch, Michael H., Michael H. Bloch, Mark A. Geyer, David C. S. Roberts, Eileen M. Joyce, Jonathan P. Roiser, John H. Halpern, et al. "Heritability." In Encyclopedia of Psychopharmacology, 582. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_721.

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Levesque, Roger J. R. "Heritability." In Encyclopedia of Adolescence, 1754–56. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-33228-4_679.

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Orbell, Sheina, Havah Schneider, Sabrina Esbitt, Jeffrey S. Gonzalez, Jeffrey S. Gonzalez, Erica Shreck, Abigail Batchelder, et al. "Heritability." In Encyclopedia of Behavioral Medicine, 959–61. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_701.

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Lynch, Kate E. "Heritability." In Encyclopedia of Evolutionary Psychological Science, 1–6. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-16999-6_41-1.

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Roff, Derek A. "Heritability." In Evolutionary Quantitative Genetics, 24–72. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-4080-9_2.

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DeLuca, John. "Heritability." In Encyclopedia of Clinical Neuropsychology, 1237. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1860.

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DeLuca, John. "Heritability." In Encyclopedia of Clinical Neuropsychology, 1. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1860-2.

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Conference papers on the topic "Heritabilitiy"

1

Будак, Александр, and Олег Харчук. "Изучение влияния условий года и генотипа на вариабельность и наследуемость количественного признака высота растения и связанных с ним признаков у сои." In International Scientific Symposium "Plant Protection – Achievements and Prospects". Institute of Genetics, Physiology and Plant Protection, Republic of Moldova, 2020. http://dx.doi.org/10.53040/9789975347204.76.

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The variability of traits is the height of the plant and the average length of the internode to a greater extent influenced by the genotype. The good heritability of these traits is evidenced by the high heritability rates for these traits. The variability of the attachment height of the lower pod is more influenced by the conditions of the year, the heritability coefficient is lower than that of the previous traits. Genetic progress is the highest (40.33%) among the studied traits in the trait with an average internode length, which indicates that selection for this trait may be the most successful.
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Li, Xinmin, Zhaowei Meng, and Zongchi Huang. "Intervals for Heritability in Nested Designs." In 2009 3rd International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2009. http://dx.doi.org/10.1109/icbbe.2009.5162980.

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Chung, Moo K., Zhan Luo, Nagesh Adluru, Andrew L. Alexander, Richard J. Davidson, and H. Hill Goldsmith. "Heritability of nested hierarchical structural brain network." In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018. http://dx.doi.org/10.1109/embc.2018.8512359.

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Koran, Mary Ellen, Bo Li, Neda Jahanshad, Tricia A. Thornton-Wells, David C. Glahn, Paul M. Thompson, John Blangero, Thomas E. Nichols, Peter Kochunov, and Bennett A. Landman. "On study design in neuroimaging heritability analyses." In SPIE Medical Imaging, edited by Sebastien Ourselin and Martin A. Styner. SPIE, 2014. http://dx.doi.org/10.1117/12.2043565.

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Meteran, Howraman, Linnea Skov, Vibeke Backer, Kirsten Ohm Kyvik, and Simon Francis Thomsen. "Heritability in general and specific atopy: A twin study." In ERS International Congress 2016 abstracts. European Respiratory Society, 2016. http://dx.doi.org/10.1183/13993003.congress-2016.pa4189.

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Lupascu, Galina, and Svetlana Gavzer. "Variability and heritability of wheat sensitivity to fungal infections." In XIth International Congress of Geneticists and Breeders from the Republic of Moldova. Scientific Association of Geneticists and Breeders of the Republic of Moldova, Institute of Genetics, Physiology and Plant Protection, Moldova State University, 2021. http://dx.doi.org/10.53040/cga11.2021.074.

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Zhan, L., N. Jahanshad, J. Faskowitz, D. Zhu, G. Prasad, N. G. Martin, G. I. de Zubicaray, K. L. McMahon, M. J. Wright, and P. M. Thompson. "Heritability of brain network topology in 853 twins and siblings." In 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015). IEEE, 2015. http://dx.doi.org/10.1109/isbi.2015.7163908.

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Ktena, Sofia Ira, Salim Arslan, Sarah Parisot, and Daniel Rueckert. "Exploring heritability of functional brain networks with inexact graph matching." In 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). IEEE, 2017. http://dx.doi.org/10.1109/isbi.2017.7950536.

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Adhikari, Bhim M., Neda Jahanshad, Dinesh Shukla, David C. Glahn, John Blangero, Richard C. Reynolds, Robert W. Cox, et al. "Heritability estimates on resting state fMRI data using ENIGMA analysis pipeline." In Pacific Symposium on Biocomputing 2018. WORLD SCIENTIFIC, 2017. http://dx.doi.org/10.1142/9789813235533_0029.

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Прищеп, Елена Александровна, Алла Сергеевна Герасимова, and Диана Вячеславовна Леутина. "INFLUENCE OF HEREDITARY FACTORS ON THE PRODUCTIVE QUALITIES OF COWS." In Наука. Исследования. Практика: сборник избранных статей по материалам Международной научной конференции (Санкт-Петербург, Июнь 2020). Crossref, 2020. http://dx.doi.org/10.37539/srp291.2020.28.14.011.

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Определена степень влияния (изменчивость, корреляция, наследуемость) наследственных факторов на проявление продуктивных качеств животных. Объект исследований - продуктивность коров (664 гол.) бурой швицкой породы по первой и максимальной лактациям и в зависимости от линейной принадлежности. Данные расчетов доказывают связь между генетически заложенным потенциалом и продуктивностью. The degree of influence (variability, correlation, heritability) of hereditary factors on the manifestation of productive qualities of animals is determined. The object of research is the productivity of cows (664 heads) of the brown Swiss breed for the first and maximum lactations, depending on the linear affiliation. These calculations prove the relationship between the genetic potential and productivity.
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Reports on the topic "Heritabilitiy"

1

Reecy, James M., and Matt Schneider. Heritability of Genetic Resistance to Bovine Respiratory Disease. Ames: Iowa State University, Digital Repository, 2006. http://dx.doi.org/10.31274/farmprogressreports-180814-757.

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Reecy, James M., and Matthew Schneider. Heritability of Genetic Resistance to Bovine Respiratory Diseases. Ames: Iowa State University, Digital Repository, 2007. http://dx.doi.org/10.31274/farmprogressreports-180814-638.

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Tait, Richard G., Shu Zhang, Travis Knight, Jenny Minick Bormann, Daryl R. Strohbehn, Donald C. Beitz, and James M. Reecy. Heritability Estimates for Fatty Acid Concentration in Angus Beef. Ames (Iowa): Iowa State University, January 2007. http://dx.doi.org/10.31274/ans_air-180814-524.

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Tait, Richard G., S. Zhang, Travis J. Knight, Daryl R. Strohbehn, Donald C. Beitz, and James M. Reecy. Heritability Estimates for Fatty Acid Concentration in Angus Beef. Ames: Iowa State University, Digital Repository, 2007. http://dx.doi.org/10.31274/farmprogressreports-180814-283.

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Wienke, Andreas, Anne M. Herskind, Kaare Christensen, Axel Skytthe, and Anatoli I. Yashin. The influence of smoking and BMI on heritability in susceptibility to coronary heart disease. Rostock: Max Planck Institute for Demographic Research, January 2002. http://dx.doi.org/10.4054/mpidr-wp-2002-003.

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Kohler, Hans-Peter, and J. C. Rodgers. DF-analyses of heritability with double-entry twin data: asymptotic standard errors and efficient estimation. Rostock: Max Planck Institute for Demographic Research, May 2000. http://dx.doi.org/10.4054/mpidr-wp-2000-005.

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Nikkilä, Marja, Kenneth J. Stalder, Benny E. Mote, Jay Lampe, Bridget Thorn, Max F. Rothschild, Anna K. Johnson, Locke A. Karriker, and Timo Serenius. Heritabilities and Genetic Correlations of Body Composition and Structural Soundness Traits in Commercial Gilts. Ames (Iowa): Iowa State University, January 2008. http://dx.doi.org/10.31274/ans_air-180814-147.

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Conley, Dalton, and Emily Rauscher. The Equal Environments Assumption in the Post-Genomic Age: Using Misclassified Twins to Estimate Bias in Heritability Models. Cambridge, MA: National Bureau of Economic Research, January 2011. http://dx.doi.org/10.3386/w16711.

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