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PubMed2006

An empirical Bayes method for updating inferences in analysis of quantitative trait loci using information from related genome scans.

Individual genome scans for quantitative trait loci (QTL) mapping often suffer from low statistical power and imprecise estimates of QTL location and effect. This lack of precision yields large confidence intervals for QTL location, which are problematic for subsequent fine mapping and positional cloning. In prioritizing areas for follow-up after an initial genome scan and in evaluating the credibility of apparent linkage signals, investigators typically examine the results of other genome scans of the same phenotype and informally update their beliefs about which linkage signals in their scan most merit confidence and follow-up via a subjective-intuitive integration approach. A method that acknowledges the wisdom of this general paradigm but formally borrows information from other scans to increase confidence in objectivity would be a benefit. We developed an empirical Bayes analytic method to integrate information from multiple genome scans. The linkage statistic obtained from a single genome scan study is updated by incorporating statistics from other genome scans as prior information. This technique does not require that all studies have an identical marker map or a common estimated QTL effect. The updated linkage statistic can then be used for the estimation of QTL location and effect. We evaluate the performance of our method by using extensive simulations based on actual marker spacing and allele frequencies from available data. Results indicate that the empirical Bayes method can account for between-study heterogeneity, estimate the QTL location and effect more precisely, and provide narrower confidence intervals than results from any single individual study. We also compared the empirical Bayes method with a method originally developed for meta-analysis (a closely related but distinct purpose). In the face of marked heterogeneity among studies, the empirical Bayes method outperforms the comparator.

Chromosome Mapping↗
PubMed2007

Separation of base allele and sampling term effects gives new insights in variance component QTL analysis.

BACKGROUND: Variance component (VC) models are commonly used for Quantitative Trait Loci (QTL) mapping in outbred populations. Here, the QTL effect is given as a random effect and a critical part of the model is the relationship between the phenotypic values and the random effect. In the traditional VC model, each individual has a unique QTL effect and the relationship between these random effects is given as a covariance structure (known as the identity-by-descent (IBD) matrix). RESULTS: We present an alternative notation of the variance component model, where the elements of the random effect are independent base generation allele effects and sampling term effects. The relationship between the phenotypic vales and the random effect is given by an incidence matrix, which results in a novel, but statistically equivalent, version of the traditional VC model. A general algorithm to estimate this incidence matrix is presented. Since the model is given in terms of base generation allele effects and sampling term effects, these effects can be estimated separately using best linear unbiased prediction (BLUP). From simulated data, we showed that biallelic QTL effects could be accurately clustered using the BLUP obtained from our model notation when markers are fully informative, and that the accuracy increased with the size of the QTL effect. We also developed a measure indicating whether a base generation marker homozygote is a QTL heterozygote or not, by comparing the variances of the sampling term BLUP and the base generation allele BLUP. A ratio greater than one gives strong support for a QTL heterozygote. CONCLUSION: We developed a simple presentation of the VC QTL model for identification of base generation allele effects in QTL linkage analysis. The base generation allele effects and sampling term effects were separated in our model notation. This clarifies the assumptions of the model and should also enhance the development of genome scan methods.

Alleles↗
PubMed2002

Relationship of calpain-10 genotype to phenotypic features of polycystic ovary syndrome.

Polycystic ovary syndrome (PCOS) is associated with an increased risk of impaired glucose tolerance and type 2 diabetes. Recent evidence suggests that variation in the gene encoding the cysteine protease calpain-10 influences susceptibility to type 2 diabetes. The present study was undertaken to determine whether variation in this gene is associated with quantitative traits pertinent to the pathogenesis of PCOS and diabetes. We studied 212 women with PCOS (124 white of European ancestry, 57 African-American, 13 Hispanic, 13 Asian-American, and 5 Middle-Eastern). Each subject was genotyped for 3 DNA polymorphisms in the calpain-10 gene associated with type 2 diabetes (SNP-43, -19, and -63). The white and African-American subjects were examined for association of these polymorphisms with phenotypic features of PCOS and type 2 diabetes. There were not enough individuals in the other groups for similar genotype/phenotype analyses. Nineteen (9%) of the 212 women with PCOS were diabetic and were not included in the genotype/phenotype analyses. Twelve (63%) of these subjects were African-American. Phenotypic traits in nondiabetic white probands did not differ whether analyzed for each individual SNP (SNP-43, -19, -63) or haplotype combination. Nor was there association of SNP-43, -19, or -63 with any of the phenotypic features of type 2 diabetes or PCOS in nondiabetic African-Americans. However, nondiabetic African-Americans with the 112/121-haplotype combination had significantly higher insulin levels, in response to an oral glucose challenge, as reflected in the area under the insulin curve (257,021 +/- 95,384 vs. 136,240 +/- 11,468 pmol/min; P = 0.03), compared with those with other haplotypes. This finding was particularly notable because the 112/121 subjects were less obese. The difference between groups in area under the insulin response curve remained significant (P = 0.002 by analysis of covariance) after adjustment for body mass index. In addition to its association with insulin levels in African-Americans, the 112/121-haplotype combination was associated with an approximate 2-fold increase in risk of PCOS in both African-Americans and whites.

Administration, Oral↗
PubMedDate not supplied

Detection of quantitative trait loci for growth and fatness in pigs.

A quantitative trait locus (QTL) analysis of growth and fatness data from a three-generation experimental cross between Meishan (MS) and Large White (LW) pig breeds is presented. Six boars and 23 F1 sows, the progeny of six LW boars and six MS sows, produced 530 F2 males and 573 F2 females. Nine growth traits, i.e. body weight at birth and at 3, 10, 13, 17 and 22 weeks of age, average daily gain from birth to 3 weeks, from 3 to 10 weeks and from 10 to 22 weeks of age, as well as backfat thickness at 13, 17 and 22 weeks of age and at 40 and 60 kg live weight were analysed. Animals were typed for a total of 137 markers covering the entire porcine genome. Analyses were performed using two interval mapping methods: a line-cross (LC) regression method where founder lines were assumed to be fixed for different QTL alleles and a half-/full-sib (HFS) maximum likelihood method where allele substitution effects were estimated within each half-/full-sib family. Both methods revealed highly significant gene effects for growth on chromosomes 1, 4 and 7 and for backfat thickness on chromosomes 1, 4, 5, 7 and X, and significant gene effects on chromosome 6 for growth and backfat thickness. Suggestive QTLs were also revealed by both methods on chromosomes 2 and 3 for growth and 2 for backfat thickness. Significant gene effects were detected for growth on chromosomes 11, 13, 14, 16 and 18 and for backfat thickness on chromosome 8, 10, 13 and 14. LW alleles were associated with high growth rate and low backfat thickness, except for those of chromosome 7 and to a lesser extent early-growth alleles on chromosomes 1 and 2 and backfat thickness alleles on chromosome 6.

Adipose Tissue↗
PubMed2005

Construction of introgression lines carrying wild rice (Oryza rufipogon Griff.) segments in cultivated rice (Oryza sativa L.) background and characterization of introgressed segments associated with yield-related traits.

Introgression lines (ILs) are useful tools for precise mapping of quantitative trait loci (QTLs) and the evaluation of gene action or interaction in theoretical studies. A set of 159 ILs carrying variant introgressed segments from Chinese common wild rice (Oryza rufipogon Griff.), collected from Dongxiang county, Jiangxi Province, in the background of Indica cultivar (Oryza sativa L.), Guichao 2, was developed using 126 polymorphic simple sequence repeats (SSR) loci. The 159 ILs represented 67.5% of the genome of O. rufipogon. All the ILs have the proportions of the recurrent parent ranging from 92.4 to 99.9%, with an average of 97.4%. The average proportion of the donor genome for the BC(4)F(4) population was about 2.2%. The mean numbers of homozygous and heterozygous donor segments were 2 (ranging 0-8) and 1 (ranging 0-7), respectively, and the majority of these segments had sizes less than 10 cM. QTL analysis was conducted based on evaluation of yield-related traits of the 159 ILs at two sites, in Beijing and Hainan. For 6 out of 17 QTLs identified at two sites corresponding to three traits (panicles per plant, grains per panicle and filled grains per plant, respectively), the QTLs derived from O. rufipogon were usually associated with an improvement of the target trait, although the overall phenotypic characters of O. rufipogon were inferior to that of the recurrent parent. Of the 17 QTLs, 5 specific QTLs strongly associated with more than one trait were observed. Further analysis of the high-yielding and low-yielding ILs revealed that the high-yielding ILs contained relatively less introgressed segments than the low-yielding ILs, and that the yield increase or decrease was mainly due to the number of grain. On the other hand, low-yielding ILs contained more negative QTLs or disharmonious interactions between QTLs which masked trait-enchancing QTLs. These ILs will be useful in identifying the traits of yield, tolerance to low temperature and drought stress, and detecting favorable genes of common wild rice.

Chromosome Mapping↗
PubMed2002

QSAR of HIV-1 integrase inhibitors by genetic function approximation method.

Quantitative structure--activity relationship (QSAR) paradigm, using genetic function approximation (GFA) technique was used to examine the correlations between the calculated physicochemical descriptors and the in vitro activities (3'-processing and 3'-strand transfer inhibition) of a series of human immunodeficiency virus type 1 (HIV-1) integrase inhibitors. Depending on the chemical structure, all molecules were divided into two classes---catechols and noncatechols. Eighty-one molecules were used in the present study and they were divided into training set and test set. The training set in each class consisted of 35 molecules and QSAR models were generated separately for both catechols and noncatechols. Equations were evaluated using internal as well as external test set predictions. Models generated for catechols show that electronic, shape related, and thermodynamic parameters are important whereas for noncatechols, spatial, structural, and thermodynamic properties play an important role for the activity.

Anti-HIV Agents↗
PubMed1996

Quantitative trait loci and metabolic pathways: genetic control of the concentration of maysin, a corn earworm resistance factor, in maize silks.

Interpretation of quantitative trait locus (QTL) studies of agronomic traits is limited by lack of knowledge of biochemical pathways leading to trait expression. To more fully elucidate the biological significance of detected QTL, we chose a trait that is the product of a well-characterized pathway, namely the concentration of maysin, a C-glycosyl flavone, in silks of maize, Zea mays L. Maysin is a host-plant resistance factor against the corn earworm, Helicoverpa zea (Boddie). We determined silk maysin concentrations and restriction fragment length polymorphism genotypes at flavonoid pathway loci or linked markers for 285 F2 plants derived from the cross of lines GT114 and GT119. Single-factor analysis of variance indicated that the p1 region on chromosome 1 accounted for 58.0% of the phenotypic variance and showed additive gene action. The p1 locus is a transcription activator for portions of the flavonoid pathway. A second QTL, represented by marker umc 105a near the brown pericarp1 locus on chromosome 9, accounted for 10.8% of the variance. Gene action of this region was dominant for low maysin, but was only expressed in the presence of a functional p1 allele. The model explaining the greatest proportion of phenotypic variance (75.9%) included p1, umc105a, umc166b (chromosome 1), r1 (chromosome 10), and two epistatic interaction terms, p1 x umc105a and p1 x r1. Our results provide evidence that regulatory loci have a central role and that there is a complex interplay among different branches of the flavonoid pathway in the expression of this trait.

Journal Article↗
PubMed1999

Personality traits and dopamine receptors (D2 and D4): linkage studies in families of alcoholics.

Activation of the mesolimbic dopamine pathway appears to promote drug- and alcohol-seeking behavior in laboratory animals. Results for association and linkage analysis between various alcohol dependence phenotypes and the dopamine receptors have been quite mixed. Similarly, both positive and negative results have been presented concerning dopamine receptor genes and temperament. Cloninger has postulated that the novelty seeking factor from the Tridimensional Personality Questionnaire (TPQ) may be related to the dopamine neurotransmitter system. As novelty seeking is a trait of some importance for substance-dependent individuals, our goal was to test this relationship within a sample of families of alcoholics. No evidence favoring linkage between D2, D4, or DAT1 was found for TPQ novelty seeking. However, the harm-avoidance trait from the TPQ showed evidence for linkage to both the D4 and one of the D2 loci (TaqI A). The Multidimensional Personality Questionnaire (MPQ) was used to provide converging evidence for these results. The TPQ harm-avoidance scale loads heavily on introversion (worry, pessimism, shyness), characteristics that may be especially salient in alcoholic families. Thus, planned comparisons were made between selected MPQ traits measuring the affective dimension (negative affectivity, stress reaction, alienation, and well-being). We find evidence favoring linkage between the D2 and D4 receptor loci and these MPQ traits, with stronger evidence being seen for the D2 polymorphisms. Am. J. Med. Genet. (Neuropsychiatr. Genet.) 88:634-641, 1999.

Adolescent↗
PubMed1999

Linkage studies of D2 and D4 receptor genes and alcoholism.

The purpose of the present study was to evaluate two polymorphisms near the D2 receptor gene (TaqI A RFLP and C microsatellite) and a VNTR for D4. A nonparametric linkage (NPL) technique, SIBPAL, was used to test for the presence or absence of linkage in 54 multiplex alcoholic families. These families had been ascertained through two alcoholic proband siblings in order to increase the density of alcoholic cases within these pedigrees. Phenotypic definitions of alcoholism were manipulated in an effort to determine the impact of severity (signs of physical dependence, early age of onset, presence of antisocial personality disorder) on the likelihood of finding positive evidence for linkage. A regression analysis that simultaneously evaluated the allele sharing identical by descent for Feighner criteria alcoholism in affected, unaffected, and discordant sib pairs (SIBPAL) for two D2 polymorphisms and the D4 polymorphism gave no evidence for linkage. Phenotypes associated with greater alcoholism severity (presence of physical dependence symptoms, earlier onset, or comorbid antisocial personality disorder) revealed some evidence for linkage. The presence of one or more physical dependence symptoms in combination with Feighner criteria alcoholism provided some evidence favoring linkage (TaqI A and D4). Alcoholics with an earlier onset of alcoholism showed some evidence for linkage especially when the presence of physical dependence was required (e. g., morning drinking, wanted to stop drinking but could not, binges or benders, and evidence of withdrawal symptoms). Finally, alcoholics with antisocial personality disorder differed significantly in their allele sharing from nonalcoholics for both D2 polymorphisms. Am. J. Med. Genet. (Neuropsychiatr. Genet.) 88:676-685, 1999.

Adolescent↗
PubMed1997

Analysis of two-locus traits under heterogeneity for recessive versus dominant inheritance.

Complex traits have been modeled under various modes of two-locus inheritance. One example of a two-locus threshold model is the situation where an individual is susceptible to a disease trait if he or she carries three or more disease alleles. Under this model, if each locus is examined individually the inheritance appears recessive for some mating types and dominant for others. We developed a heterogeneity test, the Model-heterogeneity test, where an admixture of dominant and recessive sibships can be present. The properties of the Model-heterogeneity test were examined and compared to the Admixture test. The power of the Model-heterogeneity test to detect linkage is comparable to that of the Admixture test.

Chromosome Mapping↗
PubMed1997

Comparison of model-free linkage mapping strategies for the study of a complex trait.

We compared several strategies for identifying and estimating effects from a genetic locus in the etiology of a complex trait. For our analyses we used data from simulated trait 1 and chromosome 5. Results from analysis of the first 20 replicates showed that a components of variance test provided considerably better power for identifying linkage than tests that consider pair differences. We also compared the power from constructing tests with a single marker, an approximate method using five markers jointly, or a multipoint analysis using all 25 markers on chromosome 5 jointly. Results from this analysis showed substantially better power when all markers were jointly used in the analysis. Results from considering all replicates showed that all methods of estimation provided maximal test statistics at the correct marker position, but the components of variance procedure provided more power to detect the correct position than other methods.

Analysis of Variance↗
PubMed1999

Rapid and precise genotyping of porcine microsatellites.

Microsatellites are useful markers for genetic mapping and linkage analysis because they are highly polymorphic, abundant in genomes and relatively easily scored with polymerase chain reaction (PCR). A rapid genotyping system for microsatellites was developed, which included multiplex PCRs, multiple use of Hydrolink gels, automated fluorescent detection of fragments on an A.L.F. DNA sequencer, automatic assignment of alleles to each locus and verification of genotypes with a self-developed computer program "Fragtest". Eight multiplex PCRs have been developed to genotype 29 microsatellites for genetic and quantitative trait loci (QTL) mapping on pig chromosomes 6, 7, 12 and 13. Three to six microsatellites could be amplified in one multiplex PCR. Each multiplex reaction required only different concentrations of each pair of primers and a low concentration of dNTP (100 microM). A dNTP concentration of 100 microM proved to be optimal for the coamplification of microsatellites under the concentration of 1.5 mM MgCl2. Using four internal size standards added in each sample, the 5% Hydrolink gel could subsequently be used up to five times (total running time of 500 min) on the A.L.F. automated sequencer without significant loss of resolution and precision of fragment length analysis. Automatic assignment of alleles on each locus using "Fragtest" significantly increased the efficiency and precision of the genotyping. This system is thus a rapid, cheap, and highly discriminating genotyping system.

Animals↗
PubMed2005

The serotonin transporter gene as a QTL for ADHD.

Molecular studies of attention deficit hyperactivity disorder (ADHD) have identified susceptibility genes for the categorically diagnosed disorder using operational diagnostic criteria. Here, we take a QTL approach to mapping genes for ADHD using a composite continuous index of ADHD behavior in a large epidemiological sample. Previous studies of clinical ADHD suggest that two functional polymorphisms in the serotonin transporter gene (SLC6A4), one in the 5'-regulatory region of the gene (5-HTTLPR) and the other a VNTR (5-HTTVNTR) in the second intron, as well as a single nucleotide polymorphism in the 3'-untranslated region (3'-UTR SNP), may be associated with the disorder. Here, we investigate these polymorphisms as well as an additional ten SNPs spread across the gene. We found significant association with the long (L) allele of the 5-HTTLPR; P = 0.019, but neither the 5-HTTVNTR nor the 3'-UTR SNP were significantly associated. Significant associations (P < 0.05) were found for a further 5 the 10 other markers tested. We found evidence for two haplotype blocks spanning the region. We found strong evidence for association with the first haplotype block (comprised of four markers), with the significance of a combined primary and secondary test of association reaching an empirical P value = 0.0054 for the global test and an empirical P value = 0.00081 for the largest local test. Thus, we show here that SLC6A4, which has a major influence on brain serotonin availability, may be a QTL for ADHD.

Adolescent↗
PubMed2001

Proteomic comparison of human and great ape blood plasma reveals conserved glycosylation and differences in thyroid hormone metabolism.

Most blood plasma proteins are glycosylated. These glycoproteins typically carry sialic acid-bearing sugar chains, which can modify the observed molecular weights and isoelectric points of those proteins during electrophoretic analyses. To explore changes in protein expression and glycosylation that occurred during great ape and human evolution, we subjected multiple blood plasma samples from all these species to high-resolution proteomic analysis. We found very few species-specific differences, indicating a remarkable degree of conservation of plasma protein expression and glycosylation during approximately 12 million years of evolution. A few lineage-specific differences in protein migration were noted among the great apes. The only obvious differences between humans and all great apes were an apparent decrease in transthyretin (prealbumin) and a change in haptoglobin isoforms (the latter was predictable from prior genetic studies). Quantitative studies of transthyretin in samples of blood plasma (synthesized primarily by the liver) and of cerebrospinal fluid (synthesized locally by the choroid plexus of the brain) confirmed approximately 2-fold higher levels in chimpanzees compared to humans. Since transthyretin binds thyroid hormones, we next compared plasma thyroid hormone parameters between humans and chimpanzees. The results indicate significant differences in the status of thyroid hormone metabolism, which represent the first known endocrine difference between these species. Notably, thyroid hormones are known to play major roles in the development, differentiation, and metabolism of many organs and tissues, including the brain and the cranium. Also, transthyretin is known to be the major carrier of thyroid hormone in the cerebrospinal fluid, likely regulating delivery of this hormone to the brain. A potential secondary difference in retinoid (vitamin A) metabolism is also noted. The implications of these findings for explaining unique features of human evolution are discussed.

Animals↗
PubMed2005

Analysis of ALDH1A2, CYP26A1, CYP26B1, CRABP1, and CRABP2 in human neural tube defects suggests a possible association with alleles in ALDH1A2.

BACKGROUND: Vitamin A (retinol), in the form of retinoic acid (RA), is essential for normal development of the human embryo. Studies in the mouse and zebrafish have shown that retinol is metabolized in the developing spinal cord and must be maintained in a precise balance along the anteroposterior axis. Both excess and deficiency of RA can affect morphogenesis, including failures of neural tube closure. METHODS: We chose to investigate 5 genes involved in the metabolism or synthesis of RA, ALDH1A2, CYP26A1, CYP26B1, CRABP1, and CRABP2, for their role in the development of human neural tube defects, such as spina bifida. RESULTS: An association analysis using both allelic and genotypic single-locus tests revealed a significant association between the risk for spina bifida and 3 polymorphisms in the gene ALDH1A2; however, we found no evidence of a significant multilocus association. CONCLUSIONS: These results may suggest that polymorphisms in ALDH1A2 may influence the risk for lumbosacral myelomeningocele in humans.

Alleles↗
PubMed2002

Potential genetic variance and the domestication of maize.

Since Darwin, there has been a long and arduous struggle to understand the source and maintenance of natural genetic variation and its relationship to phenotype. The reason that this task is so difficult is that it requires integration of detailed, and as yet incomplete, knowledge from several biological disciplines, including evolutionary, population, and developmental genetics. In this 'post-genomic' era, it is relatively easy to identify differences in the DNA sequence between individuals. However, the task remains to delineate how this abundant genetic diversity actually contributes to phenotypic diversity. This necessitates tackling the problem of hidden genetic variation. Genetic polymorphisms can be conditionally cryptic, but have the potential to contribute to phenotypic variation in particular genetic backgrounds or under specific environmental conditions. A recent paper by Lauter and Doebley highlights the contribution of hidden genetic variation to traits characterizing the morphological evolution of modern maize from its wild grass-like progenitor teosinte.1 This work is the first to demonstrate hidden variance for selected (agronomically 'adaptive') traits in a well-characterized model for morphological evolution.

DNA↗
PubMed2001

Unbiased methods for population-based association studies.

Large, population-based samples and large-scale genotyping are being used to evaluate disease/gene associations. A substantial drawback to such samples is the fact that population substructure can induce spurious associations between genes and disease. We review two methods, called genomic control (GC) and structured association (SA), that obviate many of the concerns about population substructure by using the features of the genomes present in the sample to correct for stratification. The GC approach exploits the fact that population substructure generates "over dispersion" of statistics used to assess association. By testing multiple polymorphisms throughout the genome, only some of which are pertinent to the disease of interest, the degree of overdispersion generated by population substructure can be estimated and taken into account. The SA approach assumes that the sampled population, although heterogeneous, is composed of subpopulations that are themselves homogeneous. By using multiple polymorphisms throughout the genome, this "latent class method" estimates the probability sampled individuals derive from each of these latent subpopulations. GC has the advantage of robustness, simplicity, and wide applicability, even to experimental designs such as DNA pooling. SA is a bit more complicated but has the advantage of greater power in some realistic settings, such as admixed populations or when association varies widely across subpopulations. It, too, is widely applicable. Both also have weaknesses, as elaborated in our review.

Analysis of Variance↗