K. Yakovenko

Major gene control of human body height, weight and BMI in five ethnically different populations

Pedigree samples were collected from five ethnically and geographically different populations: Kirghizians, Turkmenians, Chuvashians, Israelis and Mexicans. All studied individuals were assessed for body height, weight and BMI. The sample size in the studied pedigrees ranged from 381 to 1811 individuals. Segregation analysis of these traits preliminarily adjusted for sex and age was performed by means of program package man that provides parameter estimates for the major gene effects, for the residual within the genotype correlations between relatives and for the assortative mating. By the usual transmission probability tests, the ‘environmental’ model was strongly rejected for all measured traits in all 5 populations. The major gene mode of inheritance, however, was accepted for all traits. The results of analysis in 5 populations were remarkably similar, and showed that except for Mexican sample, the proportion of variance attributable to major gene effect ranged between 37 and 53% for body weight and height. In the Mexican sample it explained only about 14% of the body weight variation. The proportion of inter‐individual variation in BMI attributable to major gene effect was consistently lower in all populations in comparison with height and weight and ranged between 17 and 40%. Strong assortive mating in body height, as estimated by correlation between putative major gene genotypes in spouses, was found in four populations, not including Mexican pedigrees.

Evidence for a major gene for bone mineral density/content in human pedigrees identified via probands with extreme bone mineral density.

Bone mineral content (BMC) and/or bone mineral density (BMD, i.e. BMC scaled by bone size) are major determinants for osteoporosis, which is a serious health problem. The major determinant of variation in BMD/BMC is genetic. The few studies now available are inconsistent in the identification and/or even in the existence of major gene(s) for BMD/BMC. In 51 human pedigrees with 941 individuals (526 measured for phenotypes) identified via probands with extreme BMD values, we performed complex segregation analyses to test the existence of a genetic locus with a major effect on BMD/BMC variation. We analyzed BMD and BMC at the spine, hip and wrist jointly by employing, as the study phenotype, factor scores (FS) of the principle component that explains ∼75% of the total BMD/BMC variation at the three sites. The results indicate that a major gene exists with a codominant effect that is responsible for ∼16% of the FS variation when adjusted for significant effects of sex, body weight and age. A significant genotype‐×‐sex‐×‐age interaction was found, which may explain ∼14% of the FS variation after adjusting for body weight. Testing of various models did not provide support for shared familial environmental effects but suggested the existence of residual polygenic effects, which may explain ∼50% of the FS variation when adjusting for sex, body weight and age. This study indicates a promising aspect of studies to identify a major gene for BMD/BMC variation in our pedigrees identified via extreme probands.

Genetics of bone mineral density: evidence for a major pleiotropic effect from an intercontinental study.

BMD is a primary predictor of osteoporotic fracture, and its genetic determination is still unclear. This study showed that the correlation between BMD at different skeletal sites is caused by an underlying genetic structure of common genetic effects. In addition to possible shared (pleiotropic) genetic and environmental effects, each of the BMD variables may also be determined by site‐specific genetic factors.

Genetics of human body size and shape: pleiotropic and independent genetic determinants of adiposity

The present study utilized pedigree data from three ethnically different populations of Kirghizstan, Turkmenia and Chuvasha. Principal component analysis was performed on a matrix of genetic correlations between 22 measures of adiposity, including skinfolds, circumferences and indices. Findings are summarized as follows: (1) All three genetic matrices were not positive definite and the first four factors retained even after exclusion RG > or = 1.0, explained from 88% to 97% of the total additive genetic variation in the 22 trials studied. This clearly emphasizes the massive involvement of pleiotropic gene effects in the variability of adiposity traits. (2) Despite the quite natural differences in pairwise correlations between the adiposity traits in the three ethnically different samples under study, factor analysis revealed a common basic pattern of covariability for the adiposity traits. In each of the three samples, four genetic factors were retained, namely, the amount of subcutaneous fat, the total body obesity, the pattern of distribution of subcutaneous fat and the central adiposity distribution. (3) Genetic correlations between the retained four factors were virtually non-existent, suggesting that several independent genetic sources may be governing the variation of adiposity traits. (4) Variance decomposition analysis on the obtained genetic factors leaves no doubt regarding the substantial familial and (most probably genetic) effects on variation of each factor in each studied population. The similarity of results in the three different samples indicates that the findings may be deemed valid and reliable descriptions of the genetic variation and covariation pattern of adiposity traits in the human species.

Familial history, age and smoking are important risk factors for disc degeneration disease in Arabic pedigrees

The present study used computed tomography imaging to evaluate the extent and pattern of the intergenerational transmission of spinal disc degeneration disease (DDD) in complex pedigrees. Contribution of a number of the potential covariates was also studied using univariate and multivariate logistic regression analysis, as well as two types of complex segregation analysis models. Among 161 individuals studied, DDD was diagnosed in 60 individuals. The number of protruded discs varied from 1 to 4, mostly in lumbar or lumbosacral regions. The average age at onset of the disease was similar for both women (36.0 years) and men (34.8 years). The proportion of the individuals affected by the DDD status of their parents ranged from 10% in families of two healthy parents to 55.5% of two affected parents (p < 0.01). The results of the logistic regression analyses and complex segregation analysis were qualitatively the same: DDD status of parents, age and smoking were the main risk factors for disc herniation in the Arabic families we examined. All analyses showed a predominating role of the family history as a risk factor for DDD in offsprings. It showed, for example, four times higher risk at age 50 for individuals with two affected parents vs. those who have two non-affected parents. However, the results of models-fitting genetic analysis, did not confirm a monogenic Mendelian pattern of inheritance.

Fluctuating asymmetry and morphometric variation of hand bones

The major aim of this study was to test three hypotheses: 1) more complex traits of the hand are less prone to developmental insults and therefore show lower fluctuating asymmetry (FA) as compared with simple traits; 2) the manifestation of FA correlates with the variability of the trait (i.e., CV); and 3) FA is an organ-wide property, and therefore a concordance exists between the FA measures of different traits in hand bones. Seventy-two bilateral measurements of hand bones, were made from plain-film radiographs of 365 cadavers. A complex trait was considered as the total length of the three phalanges of a finger and their contiguous metacarpals. Simple traits were considered to be the lengths of individual bone that made up the complex trait. The following results were obtained: 1) on the average simple traits, composing the complex trait, show much higher FA than the corresponding complex trait, but this result is expected if there is no correlation (or low correlation) between FA of simple traits within the complex trait, due to random direction of right-left differences; 2) strong and highly significant correlation was observed between FA and CV of studied traits, regardless of sex and age of individuals; and 3) the majority of FA measurements of hand bones showed no correlation. However, correlations between some sets of FA traits were highly significant. They were interpreted, although not specifically tested, as the result of a tight relationship between traits related not only developmentally but also by active performance of the same function.

Quantitative genetic study of radiographic hand bone size and geometry.

Despite the obvious epidemiological significance of bone size (BS) and geometry (BG) traits as risk factors for osteoporotic fracture, very little is still known concerning the extent of their genetic determination. In the present paper we report the results of quantitative genetic analysis of a number of BG and BS indices, as well as of BMD measurements, obtained on a large pedigree-based sample (296 nuclear families, 1208 individuals) of plain hand radiographs. The families studied were all ethnically Caucasians (Chuvasha) living in small villages along the Volga River (Russia). The sample consisted of 636 men and 572 women, aged 18-91 years. To assess hand bone size we used the outcome of principal component analysis conducted on 48 measurements of metacarpal bones and proximal phalanges (PC-BS). Two BG indices, average metacarpal cortical index and breaking bending resistance index (BBRI), also measured on metacarpal and proximal phalanges were used. Again the outcome of the principal component PC-BBRI was examined in the genetic analysis. PC-BS measurements strongly correlated with body length (r = 0.75, P < 0.001) and weight (r = 0.39, P < 0.001), suggesting that they indeed reflected hand skeleton size. Familial correlations for all studied traits, adjusted for covariates (sex, age, etc.), were all highly significant statistically. For example, parent/offspring correlations ranged between 0.248 (P < 0.001) for phalangeal BMD and 0.385 (P < 0.001) for PC-BBRI. Maximum likelihood estimates of the variance component analysis confirmed these results, indicating that approximately 58 to 66% of the residual variance of the studied traits was attributable to genetic effects. Bivariate analysis clearly revealed that while genetic variation of the phalangeal BMD was independent of the genetic effects influencing hand BS and BG, the latter two were strongly interrelated. A substantial proportion of PC-BS and PC-BBRI variation was due to shared genetic (r(G) = 0.468 +/- 0.063) and environmental (r(E) = 0.704 +/- 0.052) factors.

Comparative analysis of age prediction by markers of bone change in the hand assessed by roentgenography.

The major aim of this study was to develop an accurate method of age prediction for a wide range of ages based on the roentgenographic assessment of the hand bones. Such a method may be of particular interest in paleoanthropology and forensic medicine. The present paper provides the results of an analysis of individuals belonging to two ethnically different population samples: 1) Chuvasha (the Russian Federation), 293 males and 254 females, aged 18–91 and 18–86 years, respectively; and 2) Turkmenians (the Republic of Turkmenia), 257 males and 386 females, aged 18–82 and 17–83 years, respectively. The hands of study participants were roentgenographed with standard methodology. For each roentgenogram an equidistant osseographic score (OSS) including the descriptive criteria of bone age was estimated. In addition, an osteoarthritic and an osteoporotic score (OA and OP, respectively) were assigned to each individual. OA was a modification of the Kellgren/Lawrence scale, whereas the OP was locally developed. Results of the multiple logistic regression analysis clearly indicated that OSS is a strong predictor variable of an individuals age, with R reaching 0.93 in Chuvasha and 0.89 in Turkmenians (P < 0.001). The standard errors of estimate were approximately ±5–7 years and compared favorably with most known methods of age assessment using bones. This study provides an efficient method of age prediction, with acceptable accuracy, and extends the upper limit of prediction to the age of 70 years. An additional finding of interest was the coexistence of OA and OP in the bones of the same hand. The observed correlation between these two conditions reached 0.8 (P < 0.001). Am. J. Hum. Biol. 11:31–43, 1999.

Complex segregation analysis of quantitative dermatoglyphic traits in five Indian populations

Objective: Dermatoglyphics is widely used as a genetically determined trait in anthropogenetics although the genetic nature of its inheritance is still inconclusive, due to the lack of any established genetic model to resolve the existing inconsistencies in the literature. However, advanced statistical packages for complex segregation analyses are available and the aim of the present study is to determine the mode of dermatoglyphic trait inheritance in five different ethnic populations. Methods: Five hundred families (2435 individuals) of two generations were used for principal component analysis, familial correlation and segregation analysis (package MAN-5). Results: The similarity of three factors suggests a common internal structure. Significant familial correlation (except spouse) indicates the involvement of a familial component in the variation of dermatoglyphic traits. Segregation analyses suggest the transmission of a genetic effect in the families which follows the Mendelian model and confirms a major gene effect on factor 1 and factor 2 with two co-dominant alleles. There is no evidence of a major gene effect or environmental effect on factor 3 (a–b ridge counts). The nature of transmission and trait variance (H2) strongly supports the existence of a common nature of dermatoglyphic trait inheritance in populations, irrespective of ethnic and geographic area. Conclusion: Major gene involvement in finger dermatoglyphics according to Mendelian models is confirmed.

Quantitative digital and palmar dermatoglyphics: sexual dimorphism in the Chuvashian population of Russia.

With the aim of determining sex dimorphism among the Chuvashian population of Russia, digital and palmar dermatoglyphics of 547 individuals (293 males, 254 females) were analyzed. The sex differences for PII, TRC, and AFRC are similar to Indian and Jewish populations. Correlation coefficients between individual finger ridge counts are a little lower than in Jews but are almost equal to Indian populations. The Mantel test of matrix correlation between sexes for 22 traits shows a very good similarity. However, sex differences of palmar traits display different levels when compared with other human populations. In light of this, our evidence indicates the possible role of environmental (prenatal) factors in the realization of dermatoglyphic sex differences. The development of palmar dermatoglyphics has had a relatively longer growth period compared with fingers [Cummins, H., 1929. The topographic history of the volar pads (walking pads, tast ballen) in the human embryo. Embryol. 20, 103-126]. The palmar dermatoglyphic pattern of affinities therefore corresponds better than fingers to the ethno historical background of the populations, ascertained by numerous studies.