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PubMed1998

Evidence for multiple determinants of the body mass index: the National Heart, Lung, and Blood Institute Family Heart Study.

The body mass index (BMI) is a complex phenotype representing the amount of fat mass, lean mass, body build and proportions, and it is likely to be affected by various metabolic processes, hormonal effects, energy intake and expenditure, and interactions within and among these broad categories of etiologic factors. Nonetheless, several previous studies have reported evidence for major gene segregation for the BMI in various populations. Data on a random sample of Caucasian families participating in the National Heart, Lung, and Blood Institute (NHLBI) Family Heart Study were analyzed to document the extent of familial resemblance and to investigate whether a similar monogenic inheritance pattern could be detected. Genetic analysis was carried out on age- and sex-adjusted BMI values. Familial correlations were significant implying a maximal heritability, including all genetic and environmentally inherited additive factors, of 41% to 59%. Segregation analysis revealed the presence of two maximum likelihood solutions, one characterized as a recessive Mendelian gene and the other as a major effect with an ambiguous transmission pattern. The presence of two such solutions is consistent with detection of two separate factors, each influencing the BMI distribution in a substantive manner. The evidence also supports a multifactorial background for BMI and suggests that the frequencies of these two factors, one of which appears to be a gene, may vary among diverse populations in the United States.

Body Mass Index↗
PubMed1983

Family studies of the HLA system in acute post-streptococcal glomerulonephritis.

Eighteen families (67 siblings) of index cases with acute post-streptococcal glomerulonephritis (APSGN) were typed for HLA-A,B,C,DR antigens. Twenty cases of clinical nephritis and 10 cases of asymptomatic disease with detected among the sibships. In eight families with more than one affected individual comprising 18 sib pairs random segregation of paternal and maternal HLA haplotypes was found (0.5 less than p less than 0.06), but some antigens (CW1, DR3) showed deviation from the expected 1:1 ratio in affected and nonaffected siblings in backcross families. We had previously noticed the existence of Mendelian recessive ratios in APSGN but in the absence of clear evidence for a dominant or recessive mode of inheritance for a putative APSGN susceptibility gene(s), pedigree data were analyzed twice for linkage with HLA using the two genetic models. The data obtained, although not sufficient to reject the hypothesis of linkage, provide no support for it. Comparison of the frequency of 61 HLA antigens among 42 unrelated APSGN patients and 109 controls, showed that HLA-DRW4 is more frequent among the former (pc = 0.0500).

Acute Disease↗
PubMed2026

Multi-omics integration and colocalization analyses prioritize candidate molecular loci associated with hypothermia.

BACKGROUND: Hypothermia is a life-threatening condition lacking specific pharmacological treatments. This study aimed to prioritize genetically supported molecular loci associated with hypothermia and to explore their pharmacological tractability using multi-omics data. METHODS: Initially, 2532 druggable genes were curated from the Drug-Gene Interaction Database and established literature. These were cross-referenced with cis-eQTL and cis-pQTL datasets, encompassing 870,655 and 114,281 SNPs for blood, respectively, alongside 2379 shared SNPs across adipose, skeletal muscle, and heart tissues. Matched instrumental variables were integrated with hypothermia GWAS summary statistics for two-sample Mendelian randomization (MR) and Bayesian colocalization. Transcriptomic differential expression analysis (DEA) was subsequently conducted as an exploratory analysis of cold-exposure-associated expression changes. Database-derived compound annotations were systematically re-evaluated according to target specificity, established pharmacological mechanism, and concordance with the direction of the MR estimates. RESULTS: Among 671 gene-level MR tests, 36 genes reached nominal significance, whereas only ABCC8 remained significant after FDR correction. Colocalization was evaluable for 8 of these 36 genes, and 4 loci (COL18A1, SLC1A7, ADIPOQ, and MERTK) met the prespecified PP.H4>0.90 threshold. The remaining 28 loci were not evaluable because sufficient overlapping regional variants were unavailable after harmonization. Transcriptomic analysis identified altered expression of SLC1A3 and SLCO4A1 under cold exposure, although these findings did not directly validate the colocalization-supported loci. Re-evaluation of database-derived compound annotations did not identify any direct, selective, and directionally concordant drug-repurposing candidate for hypothermia. CONCLUSIONS: COL18A1, SLC1A7, ADIPOQ, and MERTK showed colocalization support among the 8 evaluable nominal MR-associated loci. Because colocalization coverage was limited, these genes should be regarded as preliminary candidate loci rather than established therapeutic targets. The pharmacological annotations were indirect, non-selective, unsupported, or directionally inconsistent and should be interpreted solely as hypothesis-generating information.

Bayesian colocalization↗
PubMed1995

Inheritance of RAPD markers in the guppy fish, Poecilia reticulata.

Random Amplified Polymorphic DNA (RAPD) fingerprinting offers a rapid and efficient method for generating a new series of DNA markers in fishes. Three oligonucleotide primers (two 10-mers and one 9-mer) and their paired combinations were found to generate different but reproducible RAPD fingerprints in the guppy. Of these, a 10-mer primer (designated S3D2) was used to detect DNA polymorphisms in two guppy varieties, Green Snakeskin (GSS) and 3/4Black (3/4B). High Genetic Similarity (SI) was found among individuals of the GSS and 3/4B varieties indicating low intra-variety genetic variability. The average SI values for the Green Snakeskin and 3/4Black varieties were 0.78 +/- 0.104 and 0.81 +/- 0.083, respectively. The average SI value between individuals of the GSS and 3/4B varieties was 0.66 +/- 0.066, indicating higher genetic variability between the two varieties. To study the inheritance of RAPD markers, single-pair crosses were set up between males of the GSS variety and females of the 3/4B variety. The S3D2 primer was used to generate RAPD fingerprints of the parents and their F1 offsprings. A total of 14 RAPD markers were scored from these crosses. Of these markers, eight (60.0%) of them were polymorphic. The RAPD markers were shown by the F1 to exhibit dominant Mendelian inheritance and could thus be used for subsequent genetic linkage mapping of the guppy.

Animals↗
PubMedDate not supplied

Erwin Baur or Carl Correns: who really created the theory of plastid inheritance?

Historical reviews of the field of non-Mendelian genetics and many other publications credit Erwin Baur and Carl Correns equally for the development of the theory of plastid inheritance. However, a study of the original literature indicates that this conclusion is not correct. Analysis of the relevant articles leads to the conclusion that Baur alone deserves credit for the theory of plastid inheritance. In his classic article on the inheritance properties of white-margined Pelargonium plants, Baur (1909) stated: (1) The plastids are carriers of hereditary factors which are able to mutate. (2) In variegated plants, random sorting-out of plastids is taking place. (3) The genetic results indicate a biparental inheritance of plastids by egg cells and sperm cells in Pelargonium. By contrast, Correns held the view that in variegated plants there is a maternally transmitted labile state of the cytoplasm which switches either to a permanently "healthy" state (allowing the "indifferent" plastids to become green chloroplasts) or to a permanently "diseased, ill" cytoplasmic state (causing white plastids and cells). Otto Renner supported Baur's theory and worked out important characteristics of plastid inheritance in the genus Oenothera. In the 1930s Renner reported many more observations, which established plastid inheritance as a widely accepted genetic theory.

History, 20th Century↗
PubMed1996

Use of random amplified polymorphic DNA (RAPD) technique in inheritance studies of Plasmodium falciparum.

Effectiveness of random amplified polymorphic DNA (RAPD), a technique using 1 10-base primer to amplify random segments of genomic DNA, and some of its possible uses were tested in the A + T-rich genome of Plasmodium falciparum. The best concentrations of MgCl2, 60% G + C primer, and DNA were determined to be 4.0 mM, 0.4 microM, and 90-180 ng/15 microliters reaction, respectively. Use of 30% G + C primers did not allow amplification to occur. Application of RAPD to DNA of parent and progeny clones from a P. falciparum cross showed that polymorphisms identified in the parentals and tracked in the progeny were inherited in a Mendelian fashion and that RAPD-identified polymorphisms could be used as genetic markers. Some of these polymorphic markers were located on more than 1 chromosome, whereas others were specific for a single chromosome. Two of these markers, each located on chromosome 3 of 1 of the parental parasites, were missing from 2 of the 18 progeny, suggesting that deletions, or crossover events had occurred. RAPD markers also identified a higher number of nonparental-type progeny than expected, thus confirming previous observations for high genetic variability in malaria parasites.

Animals↗
PubMed1980

Intracellular population genetics: evidence for random drift of mitochondrial allele frequencies in Saccharomyces cerevisiae and Schizosaccharomyces pombe.

We report evidence for random drift of mitochondrial allele frequencies in zygote clones of Saccharomyces cerevisiae and Schizosaccharomyces pombe. Monofactorial and bifactorial crosses were done, using strains resistant or sensitive to erythromycin (alleles Er, Es), oligomycin (Or, Os), or diuron (Dr, Ds). The frequencies of resistant and sensitive cells (and thus the frequencies of the resistant and sensitive alleles) were determined for each of a number of clones of diploid cells arising from individual zygotes. Allele frequencies were extremely variable among these zygote clones; some clones were "uniparental," with mitochondrial alleles from only one parent present. These observations suggest random drift of the allele frequencies in the population of mitochondrial genes within an individual zygote and its diploid progeny. Drift would cease when all the cells in a clone become homoplasmic, due to segregation of the mitochondrial genomes during vegetative cell divisions. To test this, we delayed cell division (and hence segregation) for varying times by starving zygotes in order to give drift more time to operate. As predicted, delaying cell division resulted in an increase in the variance of allele frequencies among the zygote clones and an increase in the proportion of uniparental zygote clones. The changes in form of the allele frequency distributions resembled those seen during random drift in finite Mendelian populations. In bifactorial crosses, genotypes as well as individual alleles were fixed or lost in some zygote clones. However, the mean recombination frequency for a large number of clones did not increase when cell division was delayed. Several possible molecular mechanisms for intracellular random drift are discussed.

Alleles↗
PubMed2025

Integrative proteomic analysis provides novel therapeutic insights for etiological subtypes of diabetes.

AIMS: Type 2 diabetes (T2D) is a highly heterogeneous disease characterised by subtypes with variations in aetiology, disease progression, and risk of complications. However, potential drug targets for these subtypes have not been explored. This study aims to investigate potential drug targets by integrating proteomics. MATERIALS AND METHODS: Summary-level data of circulating proteins were extracted from the UK Biobank and the deCODE Health Study. Genetic associations with five diabetes subtypes were obtained from Swedish All New Diabetics in Scania and Malmö Diet and Cancer cohort, including severe autoimmune diabetes (SAID), severe insulin-deficient diabetes (SIDD), severe insulin-resistant diabetes (SIRD), mild obesity-related diabetes (MOD), and mild age-related diabetes (MARD). The associations between circulating proteins and diabetes subtypes were assessed through Mendelian randomisation, followed by multiple sensitivity and colocalization analyses. Additionally, tissue-specific, pathway and functional enrichment analysis, assessment of protein druggability, and the protein-protein interaction (PPI) networks were used to further explore biological mechanisms and therapeutic potential. RESULTS: Genetically predicted levels of 2, 2, 9, 3, and 5 circulating proteins were associated with SIRD, SIDD, MARD, MOD, and SAID, respectively. Colocalization analyses further revealed links between GRN with MARD/SIRD, LILRB5 with SIDD/MARD, CR1 with MARD, TNFSF12 with MOD, and DAPK2 with SAID. Enrichment analysis suggested that these proteins were mainly enriched in blood and adipose tissues and involved in immune and inflammatory related pathways. PPI analysis revealed GRN, TNFSF12, and DAPK2 are associated with known T2D targets. CONCLUSIONS: Our study identified several potential drug targets for different subtypes of diabetes using an integrated genetic approach, yielding new insights for precision medicine of diabetes.

Humans↗
PubMed2001

Familial aggregation of QT-interval variability in a general population: results from the NHLBI Family Heart Study.

QT-interval prolongation is associated with increased risk of cardiac death. Although information on genetics and molecular mechanisms of the congenital long QT syndrome is mounting, limited data are available on the genetics of QT interval in the general population. Heart rate adjusted QT intervals (Bazett's QTc, and QT index (QTI)) were assessed by electrocardiography in 2399 members aged 25-91 years of 468 randomly selected families participating in the NHLBI Family Heart Study. Familial correlation and segregation analyses were performed to evaluate the genetics of the variability of QT interval in this population. The parent-offspring (0.14+/-0.03) and sibling (0.18+/-0.03) correlations for age and sex-adjusted QTc were moderate, while the spouse correlation was close to zero (0.09+/-0.06). This suggests that there are familial/genetic influences on QT-interval variability. Segregation analysis results suggest that there is a major effect in addition to heritable multifactorial effects (h2=0.34), but the major effect did not follow Mendelian inheritance. Further adjustments of QTc for other major cardiovascular risk factors did not significantly change the results. Similar results were found for QTI. The QT-interval variation in the general population is influenced by moderate heritable multifactorial effects in addition to a major effect. A major gene effect is not directly supported.

Adult↗
PubMed1983

A new low-frequency antigen, Hga (Hughes).

This paper describes a 'new' low-frequency antigen, Hga, which came to light during routine antibody identification tests. 3 families were investigated, 2 found during the screening of 5,434 random group O donors, giving a frequency of 1:2717. The families showed the antigen to be inherited as a Mendelian autosomal dominant character segregating independently of: Rh, MNS and is not linked to X or Y. No pure examples of the corresponding antibody have been discovered in testing 6,580 sera from normal donors in South Wales.

Blood Group Antigens↗
PubMed2026

Elucidating shared genetic signals between type 2 diabetes and three neurodegenerative dementia phenotypes.

Type 2 diabetes (T2D) and dementia frequently co-occur, yet the biological mechanisms underlying this comorbidity remain incompletely understood. Here, we systematically investigate shared genetic signals between T2D and three forms of neurodegenerative dementia (Alzheimer disease, Lewy body dementia, and sporadic frontotemporal dementia) using large-scale genome-wide association studies of clinically diagnosed individuals. We identify five genomic regions harboring shared association signals between T2D and at least one dementia subtype. Among these, the APOE locus was common to all dementia subtypes, whereas the remaining four loci (GBA, CRY2/PEX16/MAPK8IP1, INO80E, and NSF) were each shared exclusively between T2D and one dementia subtype. Integrating multi-omics data across several disease-relevant tissues and orthogonal lines of functional evidence, we prioritize 26 candidate genes through which these shared genetic loci potentially mediate their effect. Pathway enrichment highlights lipid and lipoprotein regulatory biology as a central shared axis. Mendelian randomization analyses using genetically regulated gene expression in relevant tissues indicate pleiotropic mechanisms with divergent phenotypic consequences. Our findings identify shared genetic loci between T2D and neurodegenerative dementia, revealing systemic metabolic-neurodegenerative trade-offs and highlighting key genes that underpin the comorbidity, providing a framework for improved understanding of age-related multi-morbidity.

Alzheimer disease↗
PubMed1993

Segregation analysis of fat mass and other body composition measures derived from underwater weighing.

Segregation patterns of three body composition measures which were derived from underwater weighing were evaluated in a random sample of 176 French-Canadian families. Two of the variables can be considered as primary partitions of weight (fat mass [FM] and fat-free mass [FFM]), while the remaining variable (percent body fat [%BF]) is a derived index combining the measures of both fat and fat-free weight. This study represents the first report investigating major gene effects for these measures. Segregation analyses revealed that a major locus hypothesis could not be rejected for two of the three phenotypes. The single exception was FFM, for which nearly 60% of the variance was accounted for by a non-Mendelian major effect, which may reflect environmentally based commingling or may be in part a function of gene-environment interactions or correlations. In contrast to the results for FFM, the results for each of FM and %BF were similar and suggested a major locus which accounted for 45% of the variance, with an additional 22%-26% due to a multifactorial component. Given the similarity of the major gene characteristics for these two phenotypes, the possibility that the same gene underlies both measures warrants investigation. A reasonable hypothesis is to consider genes that may influence nutrient partitioning, as the family of candidate genes to receive the major attention.

Adipose Tissue↗
PubMed1996

Evidence for a major gene for type II diabetes and linkage analyses with selected candidate genes in Mexican-Americans.

We have carried out two independent family studies in low-income Mexican-Americans from San Antonio, Texas. In the first study, probands were ascertained at random without regard to any medical condition (658 examined individuals from 50 families), and in the second study, probands were subjects with type II diabetes identified in a prior epidemiological survey (523 examined individuals from 29 families). Pedigrees ranging in size from 2 to 45 family members (median 11) in the first study and from 2 to 50 family members (median 12) in the second study were examined. Diabetes was diagnosed according to World Health Organization criteria. In both sets of families, segregation analyses revealed support for a major gene with an autosomal dominant mode of inheritance influencing early age of onset of diabetes. Non-Mendelian inheritance was rejected in both data sets. Individuals with the early age of onset allele had a mean age of diabetes onset of 51 years in the first data set and 60 years in the second data set. In the first data set, the major gene accounted for approximately 70% of the phenotypic variance in age of onset of diabetes, and there were no residual family effects once the major gene effect was taken into account. In the second data set, the major gene accounted for approximately 50% of the phenotypic variance, and residual family effects were statistically significant. Linkage analyses were performed with 11 candidate genes, and tight linkage with diabetes was rejected for Rh blood group, glucose transporter 2, fatty acid-binding protein, tumor necrosis factor beta, glucokinase, and lipoprotein lipase. A logarithm of odds (LOD) score of 0.92 at a recombination fraction of 0.05 was observed for insulin receptor substrate 1. This LOD score corresponds to a chi2 of 4.24 (P = 0.039).

Alleles↗
PubMed2025

Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes.

Heart failure (HF) is a major contributor to global morbidity and mortality. While distinct clinical subtypes, defined by etiology and left ventricular ejection fraction, are well recognized, their genetic determinants remain inadequately understood. In this study, we report a genome-wide association study of HF and its subtypes in a sample of 1.9 million individuals. A total of 153,174 individuals had HF, of whom 44,012 had a nonischemic etiology (ni-HF). A subset of patients with ni-HF were stratified based on left ventricular systolic function, where data were available, identifying 5,406 individuals with reduced ejection fraction and 3,841 with preserved ejection fraction. We identify 66 genetic loci associated with HF and its subtypes, 37 of which have not previously been reported. Using functionally informed gene prioritization methods, we predict effector genes for each identified locus, and map these to etiologic disease clusters through phenome-wide association analysis, network analysis and colocalization. Through heritability enrichment analysis, we highlight the role of extracardiac tissues in disease etiology. We then examine the differential associations of upstream risk factors with HF subtypes using Mendelian randomization. These findings extend our understanding of the mechanisms underlying HF etiology and may inform future approaches to prevention and treatment.

Humans↗
PubMed1997

Triplet repeat instability and DNA topology: an expansion model based on statistical mechanics.

The variance of writhe, the contribution of writhe to supercoiling, and the free energies of supercoiling were calculated for (CTG.CAG)n and (CGG.CCG)n triplet repeat sequences (TRS) by statistical mechanics from the bending and torsional moduli previously determined. Expansions of these sequences are inherited by non-mendelian transmission and are linked with several hereditary neuromuscular diseases. The variance of writhe was greater for the TRS than for random B-DNA. For random B-DNA, (CGG)n, and (CTG)n, the contribution of writhe to supercoiling was 70, 78, and 79%, whereas the free energy of supercoiling at a length of 10 kilobase pairs was 1040.RT, 760.RT, and 685.RT, respectively. These data indicate that the TRS are preferential sites for the partitioning of supercoiling. Calculations of the differences in free energy of supercoiling between the TRS and random B-DNA revealed a local minimum at approximately 520 base pairs. Human medical genetic studies have shown that individuals carrying up to 180-200 copies of TRS (540-600 base pairs, premutations) in the fragile X or myotonic dystrophy gene loci are usually asymptomatic, whereas large expansions (>200 repeats, full mutations), which lead to disease, are observed in their offspring. Therefore, the length corresponding to the local minimum in free energy of supercoiling correlates with the genetic breakpoint between premutation and full mutation. We propose that (a) TRS instability is mediated by DNA mispairing caused by the accumulation of supercoiling within the repeats, and (b) the expansions that take place at the premutation to full mutation threshold are associated with increased mispairing caused by the optimal partitioning of writhe within the TRS at this length.

DNA, Superhelical↗
PubMed1987

Segregation analysis of low levels of high-density lipoprotein cholesterol in the collaborative Lipid Research Clinics Program Family Study.

Complex segregation analysis with the unified mixed model in white families from nine lipid research clinics was carried out to delineate the mode of familial transmission of plasma high-density-lipoprotein cholesterol (HDL-C). Three groups of families from the collaborative Lipid Research Clinics Program Family Study were assessed: 1,146 selected at random, 483 obtained through hypercholesterolemic probands, and 177 selected from the random sample because a number had low HDL-C, the sample sizes being 4,279, 1,807 and 735, respectively. The data were first transformed and adjusted for effects of covariates. Analyses were performed within clinic and selection strata and also pooled across clinics within strata. The results were consistent across strata and identified two major HDL-C clusters with means separated by approximately 3 SD. There was significant evidence of transmission of a major factor for low HDL-C, but transmission did not conform to Mendelian segregation expectations. There was also evidence of significant multifactorial transmission. Since low HDL-C levels are a major independent risk factor for coronary heart disease, the association of a major factor with familial aggregation of low HDL-C emphasizes the importance of detailed within-family sampling for low HDL-C after identifying a proband whose predominant dyslipoproteinemia is low HDL-C.

Cholesterol, HDL↗
PubMedDate not supplied

Commingling and segregation analysis of serum uric acid in five North American populations: the Lipid Research Clinics family study.

The role of major genes in the expression of serum uric acid (UA) levels was investigated in data collected from five clinics of the Lipid Research Clinics (LRC) family study. Over 2,000 randomly ascertained individuals were analyzed. The UA distributions were homogeneous among the five LRC clinics and between the parental and offspring generations. This result suggested that the data could be pooled across clinics, thereby increasing the statistical power associated with larger sample sizes for testing various null hypotheses. Additionally, a mixture of three normal distributions best characterized the combined-clinics data. Segregation patterns were examined in the untransformed data, as well as in a more conservative (and biologically meaningful) log transformation. Prior to log transformation, both major and multifactorial effects were detected. The major effect was not transmissible, i.e., was not compatible with Mendelian transmission, and accounted for 39% of the variance in UA levels. However, after the log transform was applied to the data and the segregation analysis was repeated, support for the major effect disappeared altogether and only the multifactorial component remained, accounting for 50% of the variation in offspring and 19% in patients.

Adolescent↗
PubMed1999

Mapping quantitative trait loci for complex binary traits in outbred populations.

Complex binary traits have a dichotomous phenotypic expression but do not show a simple Mendelian segregation ratio. These traits are considered to be jointly controlled by the actions of several genes and a random environmental effect. The binary phenotype and the underlying factor are assumed to be linked through a threshold model. The underlying factor, referred to as the liability, is treated as a regular but unobservable quantitative character. Mapping quantitative trait loci (QTL) can be performed directly on the liability. Methods of QTL mapping for the liability of a complex binary trait have been well developed in line-crossing experiments. However, such a method is not available in outbred populations which usually consist of many independent pedigrees (families). In this study, we develop a method to analyse jointly multiple families of an outbred population. The method is developed based on a fixed-model approach, i.e. the QTL effects, rather than the variance, are estimated and tested. After the test, the estimated effects are then converted into a single estimate of the QTL variance by taking into consideration errors in the estimated effects. The QTL effects and variance-covariance matrix of the estimates are obtained by a fast Fisher-scoring method. Monte Carlo simulations show that the method is not only powerful but also generates very accurate estimates of QTL variances.

Algorithms↗