Depressive symptoms, body composition and bone mass in young adults: a prospective cohort study.

BACKGROUND: An association between depression and obesity is well recognised, but longitudinal studies of depressive symptoms in adolescents as a predictor of body composition are lacking. OBJECTIVE: We examined depressive symptoms at age 14, 17 and 20 years as predictors of lean, fat and bone mass at age 20 years in a birth cohort. SUBJECTS/METHODS: In 1161 participants (569 females) in the Western Australia Pregnancy Cohort (Raine) Study, depressive symptoms were assessed using the Beck Depression Inventory for Youth at age 14 and 17 years, and the Depression, Anxiety and Stress Scale 21 at age 20 years. Participants were further classified into two trajectories using latent class analysis: no/transient and persistent/recurrent depression. At age 20 years, lean body mass (LBM), fat body mass (FBM) and total body bone mass were measured by dual-energy X-ray absorptiometry. RESULTS: In females, accounting for age and lifestyle factors, depression scores at age 14 and 20 years were positively associated with body weight, body mass index (BMI), FBM and % FBM (r=0.110-0.184, P<0.05) but negatively correlated with % LBM (r=-0.120, P<0.05) at age 20 years. Females in the persistent/recurrent depression trajectory (n=99) had significantly higher body weight (+5.1 kg), BMI (+1.8 kg m-2), FBM (+3.9 kg) and % FBM (+2.2%) and significantly lower % LBM (-2.2%) at age 20 years than those with no/transient depression (n=470; all P<0.05). In males, depression scores at age 17 and 20 years were negatively associated with LBM but not weight or BMI, and depression trajectory was not a predictor of body composition at age 20 years. Depression scores and trajectories did not predict bone mass in either males or females. CONCLUSIONS: Depressive symptoms and persistent/recurrent depression in adolescence are predictors of greater adiposity at age 20 years in females, but not males, but do not predict bone mass in either gender.

Parental pre-pregnancy BMI is a dominant early-life risk factor influencing BMI of offspring in adulthood.

OBJECTIVE: We examined parental and early-life variables in order to identify risk factors for adulthood overweight and obesity in offspring. We report here on the longitudinal prevalence of overweight and obesity in Australian children born between 1989 and 1991 and followed from birth to age 22. METHODS: Data were analysed on 1355 participants from the Western Australian Pregnancy Cohort (Raine) Study, with anthropometry collected during pregnancy, at birth, one year and at three yearly intervals thereafter. Multivariate analyses and cross-sectional logistic regression quantified the timing and contribution of early-life risk factors for overweight and obesity in young-adulthood. RESULTS: At five years of age 12.6% of children were overweight and 5.2% were obese. By early adulthood, the prevalence of obesity had increased to 12.8%, whilst overweight remained relatively stable at 14.2% (range from early childhood to adulthood 11-16%). Parental pre-pregnancy body mass index (BMI) was the strongest determinant of adult offspring BMI. Although rapid first year weight gain was associated with increased offspring BMI, the impact of first year weight-gain diminished over childhood, whilst the impact of parental BMI increased over time. CONCLUSIONS: Parental pre-pregnancy BMI and rapid early-life weight gain predispose offspring to obesity in adulthood.

Multiple prenatal ultrasound scans and ocular development: 20-year follow-up of a randomized controlled trial.

OBJECTIVES: Through comprehensive ophthalmic examination of adult offspring we sought to determine the impact of multiple prenatal ultrasound scans on ocular development. METHODS: 2743 pregnant women recruited to the Western Australian Pregnancy (Raine) Cohort study during 1989-1991 were randomized to receive at King Edward Memorial Hospital, Western Australia either multiple prenatal ultrasound scans and Doppler flow studies (intensive group) or a single ultrasound scan at 18 weeks' gestation. Neonatal birth weight of the offspring and other physical measurements were collected prospectively. At age 20 years, participants underwent a comprehensive ophthalmic examination including measurement of ocular biometry and visual acuity. RESULTS: Complete data were available for 1134 adult offspring participants. The mothers of 563 of these had been randomized to receive multiple prenatal ultrasound scans. The mean age of participants at follow-up was 20.0 years. There was no statistically significant difference between the two groups with regard to ocular biometric or visual outcomes, except for slightly higher intraocular pressure identified in individuals exposed to multiple ultrasound scans (P = 0.034). Although infants in the intensive-ultrasound arm were more likely to have birth weights in the lower quartiles, this was not reflected in adult eye development. Axial length, lens thickness, corneal curvature and thickness and optic cup to disc ratio (a risk factor for glaucomatous optic neuropathy) were not significantly influenced by the more frequent ultrasound protocol. CONCLUSIONS: Prior to this study, there was a paucity of safety data for ultrasound with regard to eye development. We found that frequent in-utero exposure to ultrasound, including B-mode imaging and the use of spectral Doppler mode from 18 weeks' gestation, had no significant impact on visual outcomes or ocular biometry.

Gender differences in the relationships between lean body mass, fat mass and peak bone mass in young adults.

UNLABELLED: The relationships between fat mass and bone mass in young adults are unclear. In 1,183 young Australians, lean body mass had a strong positive relationship with total body bone mass in both genders. Fat mass was a positive predictor of total body bone mass in females, with weaker association in males. INTRODUCTION: Body weight and lean body mass are established as major determinants of bone mass, but the relationships between fat mass (including visceral fat) and peak bone mass in young adults are unclear. The aim of this study was to evaluate the associations between bone mass in young adults and three body composition measurements: lean body mass, fat mass and trunk-to-limb fat mass ratio (a surrogate measure of visceral fat). METHODS: Study participants were 574 women and 609 men aged 19-22 years from the Raine study. Body composition, total body bone mineral content (TBBMC), bone area and areal bone mineral density (TBBMD) were measured using DXA. RESULTS: In multivariate linear regression models with height, lean body mass, fat mass and trunk-to-limb fat mass ratio as predictor variables, lean mass was uniquely associated with the largest proportion of variance of TBBMC and TBBMD in males (semi-partial R(2) 0.275 and 0.345, respectively) and TBBMC in females (semi-partial R(2) 0.183). Fat mass was a more important predictor of TBBMC and TBBMD in females (semi-partial R(2) 0.126 and 0.039, respectively) than males (semi-partial R(2) 0.006 and 0.018, respectively). Trunk-to-limb fat mass ratio had a weak, negative association with TBBMC and bone area in both genders (semi-partial R(2) 0.004 to 0.034). CONCLUSIONS: Lean body mass has strong positive relationship with total body bone mass in both genders. Fat mass may play a positive role in peak bone mass attainment in women but the association was weaker in men; different fat compartments may have different effects.

Molecular, forensic and haplotypic inconsistencies regarding the identity of the Ekaterinburg remains.

BACKGROUND: A set of human remains unearthed near Ekaterinburg, Russia has been attributed to the Romanov Imperial Family of Russia and their physician and servants. That conclusion was officially accepted by the Russian government following publication of DNA tests that were widely publicized. The published study included no discussion of major forensic discrepancies and the information regarding the burial site and remains included irregularities. Furthermore, its conclusion of Romanov identity was based on molecular behaviour that indicates contamination rather than endogenous DNA. The published claim to have amplified by PCR a 1223 bp region of degraded DNA in a single segment for nine individuals and then to have obtained sequence of PCR products derived from that segment without cloning indicates that the Ekaterinburg samples were contaminated with non-degraded, high molecular weight, 'fresh' DNA. AIM: Noting major violations of standard forensic practices, factual inconsistencies, and molecular behaviours that invalidate the claimed identity, we attempted to replicate the findings of the original DNA study. SUBJECT: We analysed mtDNA extracted from a sample of the relic of Grand Duchess Elisabeth, sister of Empress Alexandra. RESULTS: Among clones of multiple PCR targets and products, we observed no complete mtDNA haplotype matching that reported for Alexandra. The consensus haplotype of Elisabeth differs from that reported for Alexandra at four sites. CONCLUSION: Considering molecular and forensic inconsistencies, the identity of the Ekaterinburg remains has not been established. Our mtDNA haplotype results for Elisabeth provide yet another line of conflicting evidence regarding the identity of the Ekaterinburg remains.

Distinguishing recombination and intragenic gene conversion by linkage disequilibrium patterns.

Deterministic theory suggests that reciprocal recombination and intragenic, interallelic conversion have different effects on the linkage disequilibrium between a pair of genetic markers. Under a model of reciprocal recombination, the decay rate of linkage disequilibrium depends on the distance between the two markers, while under conversion the decay rate is independent of this distance, provided that conversion tracts are short. A population genetic three-locus model provides a function Q of two-locus linkage disequilibria. Viewed as a random variable, Q is the basis for a test of the relative impact of conversion and recombination. This test requires haplotype frequency data of a sufficiently variable three-locus system. One of the few examples currently available is data from the Human Leukocyte Antigen (HLA) class I genes of three Amerindian populations. We find that conversion may have played a dominant role in shaping haplotype patterns over short stretches of DNA, whereas reciprocal recombination may have played a greater role over longer stretches of DNA. However, in order to draw firm conclusions more independent data are necessary.

Global sequence diversity of BRCA2: analysis of 71 breast cancer families and 95 control individuals of worldwide populations.

The aim of this study was to evaluate the prevalence of simple sequence variation in the BRCA2 gene. To this end, 71 breast and breast-ovarian cancer (HBC/HBOC) families along with 95 control individuals from a wide range of ethnicities were analyzed by means of denaturing high-performance liquid chromatography (DHPLC) and direct sequence analysis. In the coding (10 257 bp) and non-coding (2799 bp) sequences of BRCA2, 82 sequence variants were identified. Three different, apparently disease-associated BRCA2 mutations were found in six HBC/HBOC families (8%): two splice site mutations in introns 5 and 21, and one frameshift mutation in exon 11. In the coding region, 53 simple sequence variants were found: 35 missense mutations, one 2 bp deletion (CT) resulting in a stop at codon 3364, one nonsense mutation with a stop at codon 3326, one deletion of a complete codon (AAA) resulting in the loss of leucine, and 15 silent mutations. In the non-coding region, 26 polymorphisms were detected. Of the 79 sequence variants that were not obviously disease-associated, eight were detected only in HBC/HBOC families. The remaining 71 variants were identified in both HBC/HBOC families and control individuals. Sixty three sequence variants (80%) were specific for a continent. Forty two percent (33 out of 79) of the sequence variants were detected exclusively in Africa, though only 13% of the 332 chromosomes screened were of African origin. Our data indicate that, in BRCA2, simple sequence variation is frequent [in the coding region 1 in 194 bp (straight theta = 2.2 x 10(-4)), and in the non-coding region 1 in 108 bp (straight theta = 4.4 x 10(-4)), respectively].

Multilocus genotypes, a tree of individuals, and human evolutionary history.

Our goal is to infer, from human genetic data, general patterns as well as details of human evolutionary history. Here we present the results of an analysis of genetic data at the level of the individual. A tree relating 144 individuals from 12 human groups of Africa, Asia, Europe, and Oceania, inferred from an average of 75 DNA polymorphisms/individual, is remarkable in that most individuals cluster with other members of their regional group. In order to interpret this tree, we consider the factors that influence the tree pattern, including the number of genetic loci examined, the length of population isolation, the sampling process, and the extent of gene flow among groups. Understanding the impact of these factors enables us to infer details of human evolutionary history that might otherwise remain undetected. Our analyses indicate that some recent ancestor(s) of each of a few of the individuals tested may have immigrated. In general, the populations within regional groups appear to have been isolated from one another for <25,000 years. Regional groups may have been isolated for somewhat longer.

Detecting immigration by using multilocus genotypes.

Immigration is an important force shaping the social structure, evolution, and genetics of populations. A statistical method is presented that uses multilocus genotypes to identify individuals who are immigrants, or have recent immigrant ancestry. The method is appropriate for use with allozymes, microsatellites, or restriction fragment length polymorphisms (RFLPs) and assumes linkage equilibrium among loci. Potential applications include studies of dispersal among natural populations of animals and plants, human evolutionary studies, and typing zoo animals of unknown origin (for use in captive breeding programs). The method is illustrated by analyzing RFLP genotypes in samples of humans from Australian, Japanese, New Guinean, and Senegalese populations. The test has power to detect immigrant ancestors, for these data, up to two generations in the past even though the overall differentiation of allele frequencies among populations is low.

Seventy-five nuclear DNA polymorphisms in an Italian sample: a comparative worldwide study.

A well defined Italian sample from Trino Vercellese (Northern Italy) is analysed for 75 nuclear DNA RFLPs. It represents the only European sample [Matullo et al 1994] which is unmixed in a comparative study of eight populations from four continents [Bowcock et al 1991a; Lin et al 1994]. Genetic substructure of this sample has been investigated by allele sharing distances and no bias or higher homogeneity is shown. Genetic variability between populations was measured by the FST statistics (average FST was 0.138 +/- 0.086). Average heterozygosity for eight populations was 0.312 +/- 0.069. Genetic distances were evaluated between pairs of populations. Phylogenetic trees were reconstructed and principal component analysis performed. Particular attention has been given to the genetic relationship between our sample and the mixed-Caucasoid sample: 14 out of 75 markers show statistically significant frequency differences (P < 0.05), 5 of which are significant at a probability level < 1%: GH/Bg1II (Lower system), D7S1/HindIII, D17S71/MspI, EPB3/PstI, HLA-DQA. Hypotheses on admixed origin of Europeans has been discussed.

Genetics and the origin of European languages.

A new set of European genetic data has been analyzed to dissect independent patterns of geographic variation. The most important cause of European genetic variation has been confirmed to correspond to the migration of Neolithic farmers from the area of origin of agriculture in the Middle East. The next most important component of genetic variation is apparently associated with a north-south gradient possibly due to adaptation to cold climates but also to the differentiation of the Uralic and the Indo-European language-speaking people; however, the relevant correlations are not significantly different from zero after elimination of the spatial autocorrelation. The third component is highly correlated with the infiltration of the Yamna ("Kurgan") people, nomadic pastoralists who domesticated the horse and who have been claimed to have spread Indo-European languages to Europe; this association, which is statistically significant even when taking spatial autocorrelations into account, does not completely exclude the hypothesis of Indo-European as the language of Neolithic farmers. It is possible that both expansions were responsible for the spread of different subfamilies of Indo-European languages, but our genetic data cannot resolve their relative importance.

Demographic history of India and mtDNA-sequence diversity.

The demographic history of India was examined by comparing mtDNA sequences obtained from members of three culturally divergent Indian subpopulations (endogamous caste groups). While an inferred tree revealed some clustering according to caste affiliation, there was no clear separation into three genetically distinct groups along caste lines. Comparison of pairwise nucleotide difference distributions, however, did indicate a difference in growth patterns between two of the castes. The Brahmin population appears to have undergone either a rapid expansion or steady growth. The low-ranking Mukri caste, however, may have either maintained a roughly constant population size or undergone multiple bottlenecks during that period. Comparison of the Indian sequences to those obtained from other populations, using a tree, revealed that the Indian sequences, along with all other non-African samples, form a starlike cluster. This cluster may represent a major expansion, possibly originating in southern Asia, taking place at some point after modern humans initially left Africa.

Nuclear DNA polymorphism in a Mandenka population from Senegal: comparison with eight other human populations.

A large and ethnically well defined Mandenka sample from Senegal is analysed for 80 nuclear DNA RFLPs, and compared with eight previously studied human populations. A high level of genetic diversity is found in this sample, comparable to that observed in two African Pygmy samples, but lower than that of a European sample. High population variation is observed for most markers. A neutrality test reveals that the markers used in this study can be considered as neutral. A high correlation is found between genetic and geographic distances (r = 0.62), suggesting that geography does also affect long range population genetic relationships and is an important factor behind differentiation among human populations.

Comparison of 79 DNA polymorphisms tested in Australians, Japanese and Papua New Guineans with those of five other human populations.

Seventy-nine DNA polymorphisms from 57 loci (28 genes and 29 anonymous DNA segments) have been typed in eight human populations. Here we present allele frequencies for three populations (Japanese, New Guineans, and Australians) as well as revised frequencies for a Chinese sample: allele frequencies for five additional populations (Biaka and Mbuti Pygmies, Melanesians, Chinese, and Europeans) were described previously [Bowcock et al 1991a]. Evaluation of Hardy-Weinberg equilibrium for these polymorphisms suggested that the New Guinean sample may be from a highly substructured population. Average FST value for the 79 markers (polymorphisms) was 0.147 +/- 0.011 across the eight populations: Fst values for some markers changed dramatically with the addition of three populations--in particular, Australians and New Guineans. Average heterozygosity for eight populations was 0.307 +/- 0.014. Genetic distances indicated that the Australian sample may have some European ancestry. An average linkage tree inferred from these distances suggested that the first split of modern humans was between Africans and non-Africans, while the second major split was between Australians/New Guineans and all other non-Africans. The neighbor-joining tree also separated the African populations from all others. European polymorphism ascertainment bias and European admixture appear to have influenced both estimation of population heterozygosity and tree inference.