929 resultados para Complex quantitative traits


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Making sense of rapidly evolving evidence on genetic associations is crucial to making genuine advances in human genomics and the eventual integration of this information into the practice of medicine and public health. Assessment of the strengths and weaknesses of this evidence, and hence the ability to synthesize it, has been limited by inadequate reporting of results. The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the STrengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modeling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and issues of data volume that are important to consider in genetic association studies. The STREGA recommendations do not prescribe or dictate how a genetic association study should be designed but seek to enhance the transparency of its reporting, regardless of choices made during design, conduct, or analysis.

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Making sense of rapidly evolving evidence on genetic associations is crucial to making genuine advances in human genomics and the eventual integration of this information in the practice of medicine and public health. Assessment of the strengths and weaknesses of this evidence, and hence the ability to synthesize it, has been limited by inadequate reporting of results. The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modeling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies. The STREGA recommendations do not prescribe or dictate how a genetic association study should be designed but seek to enhance the transparency of its reporting, regardless of choices made during design, conduct, or analysis.

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Making sense of rapidly evolving evidence on genetic associations is crucial to making genuine advances in human genomics and the eventual integration of this information in the practice of medicine and public health. Assessment of the strengths and weaknesses of this evidence, and hence the ability to synthesize it, has been limited by inadequate reporting of results. The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modeling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies. The STREGA recommendations do not prescribe or dictate how a genetic association study should be designed but seek to enhance the transparency of its reporting, regardless of choices made during design, conduct, or analysis.

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Obesity and related chronic diseases represent a tremendous public health burden among Mexican Americans, a young and rapidly-expanding population. This study investigated the impact of variation within eight candidate obesity genes, which include leptin (LEP), leptin receptor (LEPR), neuropeptide Y (NPY), NPYY1 receptor (NPYY1), glucagon-like peptide-1 (GLP-1), GLP-1 receptor (GLP1R), beta-3 adrenergic receptor (β3AR), and uncoupling protein (UCP1), on variation in human obesity status and/or quantitative traits related to obesity in Mexican Americans from Starr County, Texas. The Trp64Arg polymorphism within β3AR was typed in 820 random individuals and 240 pedigrees (N = 2,044). The Arg allele frequency was significantly greater in obese versus non-obese individuals (0.20 versus 0. 15, respectively). In addition, within the random sample, the Arg allele was associated with significantly greater body weight (p = 0.031) and body mass index (BMI, p = 0.008) than the Trp allele. In the family sample, the Trp64Arg locus was also linked to percent fat (p = 0.045) but not to body weight or BMI. No linkage between obesity, diabetes, hypertension, or gallbladder disease and the Trp64Arg mutation was observed in families using affected sib pair linkage analysis or the transmission disequilibrium test. Microsatellite markers proximate to the remaining seven genes were typed in 302 individuals from 59 families. Sib pair linkage analysis provided evidence for linkage between obesity and NPY within affected sibling pairs (p = 0.042; n = 170 pairs). NPY was also linked to weight (p = 0.020), abdominal circumference (p = 0.031), hip circumference (p = 0.012), DBP (p ≤ 0.005), and a composite measure of body mass/fat (p ≤ 0.048) in all sibling pairs (n = 545 pairs). Additionally, LEP was linked to waist/hip ratio (p ≤ 0.009), total cholesterol (p ≤ 0.030), and HDL cholesterol (p ≤ 0.026), and LEPR was linked to fasting blood glucose (p ≤ 0.018) and DBP (p ≤ 0.003). Subsequent to the linkage analyses, the NPY gene was sequenced and eight variant sites identified. Two variant sites (-880I/D and 69I/D) were typed in a random sample of 914 individuals. The 880I/D variant was significantly associated with waist/hip ratio (p = 0.035) in the entire sample (N = 914) and with BMI (p = 0. 031), abdominal circumference (p = 0.044), and waist/hip ratio (p = 0.041) in a non-obese subsample (BW < 30 kg/m2, n = 594). The 69I/D variant was a rare mutation observed in only one pedigree and was not associated with obesity or body size/mass within this pedigree. Results of this study indicate that variation at or near β3AR, LEP, LEPR, and NPY may exert effects which increase obesity susceptibility and influence obesity-related measures in this population. ^

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The high copy dTph1 transposon system of Petunia (Solanaceae) is one of the most powerful insertion mutagens in plants, but its activity cannot be controlled in the commonly used mutator strains. We analysed the regulation of dTph1 activity by QTL analysis in recombinant inbred lines of the mutator strain W138 and a wild species (P. integrifolia spp. inflata). Two genetic factors were identified that control dTph1 transposition. One corresponded to the ACT1 locus on chromosome I. A second, previously undescribed locus ACT2 mapped on chromosome V. As a 6-cM introgression in W138, the P. i. inflata act1(S6) allele behaved as a single recessive locus that fully eliminated transposition of all dTph1 elements in all stages of plant development and in a heritable fashion. Weak dTph1 activity was restored in act1(S6)/ACT2(S6) double introgression lines, indicating that the P. i. inflata allele at ACT2 conferred a low level of transposition. Thus, the act1(S6) allele is useful for simple and predictable control of transposition of the entire dTph1 family when introgressed into an ultra-high copy W138 mutator strain. We demonstrate the use of the ACT1(W138)/act1(S6) allele pair in a two-element dTph1 transposition system by producing 10 000 unique and fixed dTph1 insertions in a population of 1250 co-isogenic lines. This Petunia system produces the highest per plant insertion number of any known two-element system, providing a powerful and logistically simple tool for transposon mutagenesis of qualitative as well as quantitative traits.

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Following up genetic linkage studies to identify the underlying susceptibility gene(s) for complex disease traits is an arduous yet biologically and clinically important task. Complex traits, such as hypertension, are considered polygenic with many genes influencing risk, each with small effects. Chromosome 2 has been consistently identified as a genomic region with genetic linkage evidence suggesting that one or more loci contribute to blood pressure levels and hypertension status. Using combined positional candidate gene methods, the Family Blood Pressure Program has concentrated efforts in investigating this region of chromosome 2 in an effort to identify underlying candidate hypertension susceptibility gene(s). Initial informatics efforts identified the boundaries of the region and the known genes within it. A total of 82 polymorphic sites in eight positional candidate genes were genotyped in a large hypothesis-generating sample consisting of 1640 African Americans, 1339 whites, and 1616 Mexican Americans. To adjust for multiple comparisons, resampling-based false discovery adjustment was applied, extending traditional resampling methods to sibship samples. Following this adjustment for multiple comparisons, SLC4A5, a sodium bicarbonate transporter, was identified as a primary candidate gene for hypertension. Polymorphisms in SLC4A5 were subsequently genotyped and analyzed for validation in two populations of African Americans (N = 461; N = 778) and two of whites (N = 550; N = 967). Again, SNPs within SLC4A5 were significantly associated with blood pressure levels and hypertension status. While not identifying a single causal DNA sequence variation that is significantly associated with blood pressure levels and hypertension status across all samples, the results further implicate SLC4A5 as a candidate hypertension susceptibility gene, validating previous evidence for one or more genes on chromosome 2 that influence hypertension related phenotypes in the population-at-large. The methodology and results reported provide a case study of one approach for following up the results of genetic linkage analyses to identify genes influencing complex traits. ^

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El objetivo de esta Tesis Doctoral ha sido la revisión de la taxonomía infraespecífica de la especie Atriplex halimus L., la delimitación del área geográfica que ocupan sus taxones y su caracterización morfológica. En base a las citas bibliográficas y material de herbario consultado se ha trazado un mapa de distribución de la especie, que delimita su distribución como planta espontánea a la Cuenca Mediterránea, desierto de Siria, Macizo de Hoggar y Sahara Occidental. El resto debe considerarse poblaciones naturalizadas o cultivadas. La taxonomía actual, basada en relaciones filogenéticas, nos indica que lo adecuado es separar las poblaciones de A. halimus en dos clados que se caracterizan por tener diferente nivel de ploidía. Para definir el área de distribución de los clados diploide y tetraploide se ha determinado la ploidía de 19 poblaciones en el espacio comprendido entre las dos áreas de distribución conocidas. Y como resultado el área de distribución de ambos clados puede definirse trazando una recta que une el estrecho de Gibraltar con Estambul, las poblaciones al sur de esta línea son tetraploides a las que habría que añadir las poblaciones del este y sur de la isla de Cerdeña que son también tetraploides. Se han determinado cuales son los parámetros morfológicos que permiten caracterizar ambos clados, para lo cual se han estudiado 52 poblaciones que comprenden toda el área de distribución de la especie. Se han evaluado caracteres cualitativos y cuantitativos de valvas fructíferas, plántulas cultivadas en cámara y arbustos de 2 a 4 años situados en la misma parcela. El único elemento fiable para determinar la pertenencia al clado diploide o tetraploide es la medición del nivel de ploidía. Ninguno de los caracteres morfológicos estudiados es plenamente fiable para determinar si los individuos de una población pertenecen al clado diploide o tetraploide a pesar de realizarse las mediciones sobre poblaciones cultivadas en igualdad de condiciones de suelo y clima, y en condiciones muy favorables para la expresión de caracteres cualitativos y cuantitativos. Los caracteres cualitativos observados que guardan una mayor correlación con el nivel de ploidía son: la base de las hojas de las plántulas, el porte del arbusto, la ramificación, el ángulo de inserción de las ramas y la longitud de la inflorescencia. Respecto a los datos cuantitativos los más relevantes han sido, la longitud de los cotiledones y la longitud del limbo de la 1ª, 3ª o 5ª hoja de la plántula o la razón entre este valor y la anchura del limbo. ABSTRACT The aim of this Thesis has been in the revision of the infraspecies taxa of Atriplex halimus L., the delimitation of their natural growing area and their morphological characterization. Using references to relevant literature and consultation of herbariums, it has been possible to map the distribution of the species as spontaneous plant in the Mediterranean Basin, Desert of Syria, Massif of Hoggar and Western Sahara. The remaining populations must be considered as naturalized or cultivated. The current taxonomy, based on phylogenetic relationships, indicates that A.halimus should be divided in two clades. These clades are characterized by their different ploidy level. Samples of nineteen populations collected from localizations between the defined distribution area of both clades have been characterized for their ploidy level. As a result, it can be seen that the line of clade separation can be trazed from Istambul tothe Strait of Gibraltar, where the populations north to this line are classified as diploid and those south of the line are clsassified as tetraploid. The only exception of this rule is in Sardinia, hwre populations to the West and South of the Island are also classified as tetraploid. The morphological parameters, which include the characterization of both clades, have been defined, and the study of fifty-two populations from the entire distribution area according to these parameters have been analysed. The qualitative and quantitative characteristics of the fruit valves have been evaluated, with seedlings grown in a culture chamber, and 2-4 years old shrubs grown in the same orchard. None of the morphological characters under study are fully reliable to determine whether individuals in a population belong to clade diploid or tetraploid. This is despite measurements being made on populations grown under the same conditions of soil and climate, and in very favorable conditions for the expression of qualitative and quantitative traits. The qualitative characteristics that show a higher correlation with the ploidy level are: the base of the leaves of the seedlings, the bearing bush, the branch arrangement, the angle of insertion of the branches and the inflorescence length. With regards to the quantitative data the most relevant were the length of the cotyledons and the length of the blade of the 1st, 3rd or 5th leaves of the seedling, and the ratio of any of this values and the leaf blade width. The only reliable way to determine the diploid or tetraploid clade membership is the measurement of ploidy level.

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Autoimmune diseases such as systemic lupus erythematosus are complex genetic traits with contributions from major histocompatibility complex (MHC) genes and multiple unknown non-MHC genes. Studies of animal models of lupus have provided important insight into the immunopathogenesis of disease, and genetic analyses of these models overcome certain obstacles encountered when studying human patients. Genome-wide scans of different genetic crosses have been used to map several disease-linked loci in New Zealand hybrid mice. Although some consensus exists among studies mapping the New Zealand Black (NZB) and New Zealand White (NZW) loci that contribute to lupus-like disease, considerable variability is also apparent. A variable in these studies is the genetic background of the non-autoimmune strain, which could influence genetic contributions from the affected strain. A direct examination of this question was undertaken in the present study by mapping NZB nephritis-linked loci in backcrosses involving different non-autoimmune backgrounds. In a backcross with MHC-congenic C57BL/6J mice, H2z appeared to be the strongest genetic determinant of severe lupus nephritis, whereas in a backcross with congenic BALB/cJ mice, H2z showed no influence on disease expression. NZB loci on chromosomes 1, 4, 11, and 14 appeared to segregate with disease in the BALB/cJ cross, but only the influence of the chromosome 1 locus spanned both crosses and showed linkage with disease when all mice were considered. Thus, the results indicate that contributions from disease-susceptibility loci, including MHC, may vary markedly depending on the non-autoimmune strain used in a backcross analysis. These studies provide insight into variables that affect genetic heterogeneity and add an important dimension of complexity for linkage analyses of human autoimmune disease.

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We are conducting a genome scan at an average resolution of 10 centimorgans (cM) for type 2 diabetes susceptibility genes in 716 affected sib pairs from 477 Finnish families. To date, our best evidence for linkage is on chromosome 20 with potentially separable peaks located on both the long and short arms. The unweighted multipoint maximum logarithm of odds score (MLS) was 3.08 on 20p (location, x̂ = 19.5 cM) under an additive model, whereas the weighted MLS was 2.06 on 20q (x̂ = 57 cM, recurrence risk, λ̂s = 1.25, P = 0.009). Weighted logarithm of odds scores of 2.00 (x̂ = 69.5 cM, P = 0.010) and 1.92 (x̂ = 18.5 cM, P = 0.013) were also observed. Ordered subset analyses based on sibships with extreme mean values of diabetes-related quantitative traits yielded sets of families who contributed disproportionately to the peaks. Two-hour glucose levels in offspring of diabetic individuals gave a MLS of 2.12 (P = 0.0018) at 9.5 cM. Evidence from this and other studies suggests at least two diabetes-susceptibility genes on chromosome 20. We have also screened the gene for maturity-onset diabetes of the young 1, hepatic nuclear factor 4-a (HNF-4α) in 64 affected sibships with evidence for high chromosomal sharing at its location on chromosome 20q. We found no evidence that sequence changes in this gene accounted for the linkage results we observed.

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Hereditary hemochromatosis (HH) is a common chronic human genetic disorder whose hallmark is systemic iron overload. Homozygosity for a mutation in the MHC class I heavy chain paralogue gene HFE has been found to be a primary cause of HH. However, many individuals homozygous for the defective allele of HFE do not develop iron overload, raising the possibility that genetic variation in modifier loci contributes to the HH phenotype. Mice deficient in the product of the β2-microglobulin (β2M) class I light chain fail to express HFE and other MHC class I family proteins, and they have been found to manifest many characteristics of the HH phenotype. To determine whether natural genetic variation plays a role in controlling iron overload, we performed classical genetic analysis of the iron-loading phenotype in β2M-deficient mice in the context of different genetic backgrounds. Strain background was found to be a major determinant in iron loading. Sex played a role that was less than that of strain background but still significant. Resistance and susceptibility to iron overload segregated as complex genetic traits in F1 and back-cross progeny. These results suggest the existence of naturally variant autosomal and Y chromosome-linked modifier loci that, in the context of mice genetically predisposed by virtue of a β2M deficiency, can profoundly influence the severity of iron loading. These results thus provide a genetic explanation for some of the variability of the HH phenotype.

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The underlying bases of the considerable interindividual variability in pain-related traits are starting to be revealed. Although the relative importance of genes versus experience in human pain perception remains unclear, rodent populations display large and heritable differences in both nociceptive and analgesic sensitivity. The identification and characterization of particularly divergent populations provides a powerful initial step in the genetic analysis of pain, because these models can be exploited to identify genes contributing to the behavior-level variability. Ultimately, DNA sequence differences representing the differential alleles at pain-relevant genes can be identified. Thus, by using a combination of “top-down” and “bottom-up” strategies, we are now able to genetically dissect even complex biological traits like pain. The present review summarizes the current progress toward these ends in both humans and rodents.

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The current phylogenetic hypothesis for the evolution and biogeography of fiddler crabs relies on the assumption that complex behavioral traits are assumed to also be evolutionary derived. Indo-west Pacific fiddler crabs have simpler reproductive social behavior and are more marine and were thought to be ancestral to the more behaviorally complex and more terrestrial American species. It was also hypothesized that the evolution of more complex social and reproductive behavior was associated with the colonization of the higher intertidal zones. Our phylogenetic analysis, based upon a set of independent molecular characters, however, demonstrates how widely entrenched ideas about evolution and biogeography led to a reasonable, but apparently incorrect, conclusion about the evolutionary trends within this pantropical group of crustaceans. Species bearing the set of "derived traits" are phylogenetically ancestral, suggesting an alternative evolutionary scenario: the evolution of reproductive behavioral complexity in fiddler crabs may have arisen multiple times during their evolution. The evolution of behavioral complexity may have arisen by coopting of a series of other adaptations for high intertidal living and antipredator escape. A calibration of rates of molecular evolution from populations on either side of the Isthmus of Panama suggest a sequence divergence rate for 16S rRNA of 0.9% per million years. The divergence between the ancestral clade and derived forms is estimated to be approximately 22 million years ago, whereas the divergence between the American and Indo-west Pacific is estimated to be approximately 17 million years ago.

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Identification of individual major genes affecting quantitative traits in livestock species has been limited to date. By using a candidate gene approach and a divergent breed cross involving the Chinese Meishan pig, we have shown that a specific allele of the estrogen receptor (ER) locus is associated with increased litter size. Female pigs from synthetic lines with a 50% Meishan background that were homozygous for this beneficial allele produced 2.3 more pigs in first parities and 1.5 more pigs averaged over all parities than females from the same synthetic lines and homozygous for the undesirable allele. This beneficial ER allele was also found in pigs with Large White breed ancestory. Analysis of females with Large White breed background showed an advantage for females homozygous for the beneficial allele as compared to females homozygous for the other allele of more than 1 total pig born. Analyses of growth performance test records detected no significant unfavorable associations of the beneficial allele with growth and developmental traits. Mapping of the ER gene demonstrated that the closest known genes or markers were 3 centimorgans from ER. To our knowledge, one of these, superoxide dismutase gene (SOD2), was mapped for the first time in the pig. Analysis of ER and these linked markers indicated that ER is the best predictor of litter size differences. Introgression of the beneficial allele into commercial pig breeding lines, in which the allele was not present, and marker-assisted selection for the beneficial allele in lines with Meishan and Large White background have begun.

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A estrutura populacional e o desequilíbrio de ligação são dois processos fundamentais para estudos evolutivos e de mapeamento associativo. Tradicionalmente, ambos têm sido investigados por meio de métodos clássicos comumente utilizados. Tais métodos certamente forneceram grandes avanços no entendimento dos processos evolutivos das espécies. No entanto, em geral, nenhum deles utiliza uma visão genealógica de forma a considerar eventos genéticos ocorridos no passado, dificultando a compreensão dos padrões de variação observados no presente. Uma abordagem que possibilita a investigação retrospectiva com base no atual polimorfismo observado é a teoria da coalescência. Assim, o objetivo deste trabalho foi analisar, com base na teoria da coalescência, a estrutura populacional e o desequilíbrio de ligação de um painel mundial de acessos de sorgo (Sorghum bicolor). Para tanto, análises de mutação, migração com fluxo gênico e recombinação foram realizadas para cinco regiões genômicas relacionadas à altura de plantas e maturidade (Dw1, Dw2, Dw4, Ma1 e Ma3) e sete populações previamente selecionadas. Em geral, elevado fluxo gênico médio (Μ = m/μ = 41,78 − 52,07) foi observado entre as populações considerando cada região genômica e todas elas simultaneamente. Os padrões sugeriram intenso intercâmbio de acessos e história evolutiva específica para cada região genômica, mostrando a importância da análise individual dos locos. A quantidade média de migrantes por geração (Μ) não foi simétrica entre pares recíprocos de populações, de acordo com a análise individual e simultânea das regiões. Isso sugere que a forma pela qual as populações se relacionaram e continuam interagindo evolutivamente não é igual, mostrando que os métodos clássicos utilizados para investigar estrutura populacional podem ser insatisfatórios. Baixas taxas médias de recombinação (ρL = 2Ner = 0,030 − 0,246) foram observadas utilizando o modelo de recombinação constante ao longo da região. Baixas e altas taxas médias de recombinação (ρr = 2Ner = 0,060 − 3,395) foram estimadas utilizando o modelo de recombinação variável ao longo da região. Os métodos tradicional (r2) e via coalescência (E[r2 rhomap]) utilizados para a estimação do desequilíbrio de ligação mostraram resultados próximos para algumas regiões genômicas e populações. No entanto, o r2 sugeriu padrões descontínuos de desequilíbrio em várias ocasiões, dificultando o entendimento e a caracterização de possíveis blocos de associação. O método via coalescência (E[r2 rhomap]) forneceu resultados que pareceram ter sido mais consistentes, podendo ser uma estratégia eventualmente importante para um refinamento dos padrões não-aleatórios de associação. Os resultados aqui encontrados sugerem que o mapeamento genético a partir de um único pool gênico pode ser insuficiente para detectar associações causais importantes para características quantitativas em sorgo.

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A obtenção de genótipos superiores no melhoramento de plantas depende da existência de variabilidade genética. A existência de coleções de germoplasma representativas e a utilização de um tamanho adequado de amostra são fundamentais para a preservação das frequências alélicas e genotípicas, diminuindo a perda de variabilidade genética e postergando o aparecimento dos efeitos da deriva genética. Assim, teve-se como objetivo avaliar os efeitos da deriva genética em caracteres quantitativos em subpopulações de milho. Este estudo foi realizado a partir das populações originais BR-105 e BR-106, das quais 10 subpopulações foram obtidas em cada um dos cinco ciclos sucessivos de amostragem com tamanho efetivo reduzido, totalizando 50 subpopulações para cada população original, as quais foram posteriormente autofecundadas, gerando um nível a mais de endogamia. Os tratamentos foram constituídos de 10 amostras da população original sem autofecundação, 10 amostras com autofecundação, 50 subpopulações obtidas da população original e 50 subpopulações autofecundadas, totalizando 120 tratamentos para cada população, avaliados separadamente. Utilizou-se o delineamento em blocos casualizados no esquema de parcelas subdivididas em faixas hierárquico, em quatro ambientes com duas repetições por ambiente. Os caracteres avaliados foram produção de grãos (PG), prolificidade (PROL), comprimento e diâmetro de espigas (CE e DE), número de fileiras por espiga (NFE), número de grãos por fileira (NGF), altura de planta e espiga (AP e AE), florescimento masculino e feminino (FM e FF) e número de ramificações do pendão (NRP). Foram estimados os efeitos da deriva genética entre as médias das subpopulações nos dois níveis de endogamia e os efeitos da depressão por endogamia nas subpopulações dentro dos ciclos. Posteriormente, realizaram-se análises de regressão linear para as subpopulações nos dois níveis de endogamia, separadamente, e em conjunto. Foi verificada uma grande variação nas médias das subpopulações ao longo dos ciclos, indicando que a deriva genética causou diferenciação entre as mesmas e que estas se diferenciaram das populações originais. Detectaram-se efeitos significativos da deriva genética nas populações não autofecundadas para todos os caracteres avaliados, em maior número para PG, já que este caráter é mais sensível à deriva genética por possuir maior grau de dominância que os demais. Houve diminuição no número de estimativas de deriva significativas para as populações autofecundadas, incluindo mudanças na magnitude e no sinal das mesmas em relação às populações não autofecundadas. Para as estimativas de depressão por endogamia, os caracteres PG, NGF, FM e FF apresentaram maior quantidade de estimativas significativas que os demais. Para a maioria dos caracteres, a regressão linear explicou a maior parte da variação encontrada com o aumento dos coeficientes de endogamia. As populações BR-105 e BR-106, por terem estruturas genéticas distintas, apresentaram performances diferentes quanto aos efeitos da deriva genética. Enfim, como a deriva genética interfere na integridade genética das populações, torna-se importante considerar seus efeitos na coleta e manutenção dos bancos de germoplasma e nas populações utilizadas no melhoramento genético de plantas.