Genetic studies on Gadaba: a tribal population of Andhra Pradesh, India.

Blood samples were collected from Gadaba, a tribal population of Andhra Pradesh, South India, in order to examine the distribution of blood groups, red cell enzymes and the gammaglobulin polymorphism. Out of 20 genetic markers studied seven protein loci exhibited monomorphism. Surprisingly a case of a rare homozygous variant and twenty-one heterozygous variants at the phosphogluconate dehydrogenase locus (6-PGD), six variants at the phosphohexose isomerase locus (PHI) and a single case of phosphoglucomutase locus 1 (PGM 1) variant were observed. Further, the tribal populations of South India reveal higher frequencies of rare variants than the caste populations. However, the presence of rare variants that are phenotypically neutral may be plausibly due to their high selective value.     

Rare variants, private polymorphisms, and locus heterozygosity in Amerindian populations.

The results of 21,103 electrophoretic typings distributed across 28 polypeptides in members of 12 Amerindian tribes are reported, and the accumulated results of electrophoretic studies on these same polypeptides in 21 Amerindian tribes are then analyzed. Thus far 11 'private' polymorphisms have been identified in these tribes. When the tribal samples are combined and traits achieving polymorphic proportions in the total sample excluded from consideration, the average frequency of rare variants is 2.8 per 1,000 determinations. For a subset of 23 of these polypeptides also studied in Caucasians and Japanese, variant frequencies per 1,000 determinations are: Indians, 2.2; Caucasians (British), 1.6; and Japanese, 1.5. Average locus heterogeneity for these polypeptides (based on rare variants plus polymorphisms) is: Indians, .049; Caucasians, .078; and Japanese, .077. A higher proportion of loci are monomorphic within tribes than within civilized urban populations. It is argued that for inferences concerning the forces maintaining genetic variability within populations, studies on samples from tribespeople are much more appropriate than studies on samples from civilized urban populations.     

A sero-biochemical genetic study of Jalari and Brahmin caste populations of Andhra Pradesh, India

Blood specimens from Jalari and Brahmin caste populations of Andhra Pradesh, India, were examined for blood groups, red cell enzymes, and serum proteins. Of 33 genetic loci studied, 16 were observed to be invariant among both the castes, while common polymorphism or rare variants were observed in one or both populations for the other loci. Three rare heterozygotes at the phosphoglucoisomerase locus, two different peptidase A variants occurring once each and single cases of rare 6-phosphogluconate dehydrogenase and transferrin variants were recorded. Also a few cases of hemoglobin AS and anhaptoglobinemia were observed. The difference in rare variants between the two castes is conspicuous but large differences in their gene frequencies at the polymorphic loci were not observed. It is pointed out that the frequency of rare variants in the tribal and caste populations of Southern India appears to be higher than observed in temperate-dwelling civilized populations.     

DNA multiallelic systems reveal gene/longevity associations not detected by diallelic systems. The APOB locus

To identify possible genetic factors affecting human longevity we compared allele pools at two candidate loci for longevity between a sample of 143 centenarians (S) and a control sample of 158 individuals (C). The candidate loci were APOB and TPO, which code for apolipoprotein B and thyroid peroxidase, respectively. Both restriction fragment length (RFL) (XbaI₂₄₈₈ and EcoRI₄₁₅₄) and variable number of tandem repeat (VNTR) (3′APOB-VNTR) polymorphisms were analysed at the APOB locus; the TPO-VNTR polymorphism (intron 10) was analysed at the TPO locus. The main result of the investigation was that there is an association between the APOB locus and longevity that is revealed only when multiallelic polymorphisms are considered. In particular: (i) the frequency of 3′APOB-VNTR alleles with fewer than 35 repeats is significantly lower in cases than in controls; (ii) the linkage disequilibrium between the XbaI-RFLP and the EcoRI-RFLP is significantly different from 0 in cases but not in controls; (iii) the EcoRI-RFLP and XbaI-RFLP allele frequencies do not discriminate between cases and controls. The differences observed between case and control allele pools are specific to the APOB locus, since no significant difference was observed at the TPO locus. Received: 27 November 1995 / Revised: 24 July 1996     

A revised indirect estimate of mutation rates in Amerindians

We have previously raised the possibility that the mutation rate resulting in rare electrophoretic variants is higher in tribal/tropical-dwelling/nonindustrialized societies than in civilized/temperate-dwelling/industrialized societies. Here, we report the results of examining 11 additional proteins for the occurrence of rare electrophoretic variants in 10 Amerindian tribes, for a total of 8,968 determinations and a total of 17,648 locus tests. When these data are combined with the results of all our previous similar studies of Amerindians, a total of 272,298 polypeptides, the products of 43 different loci, have been examined for the occurrence of rare electrophoretic variants. On the assumption that these variants are maintained by mutation pressure and are essentially neutral in their phenotypic effects, we have calculated by three different approaches that it requires an average mutation rate of 1.3 X 10(-5)/locus per generation to maintain the observed variant frequency. Concurrently, we are reporting elsewhere that a direct estimate of the mutation rate resulting in electromorphs in various studies of civilized industrialized populations is 0.3 X 10(-5)/locus per generation. Although this difference appears to have statistical significance, the nonquantifiable uncertainties to both approaches are such that our enthusiasm for a true difference in mutation rates between the two types of populations has diminished. However, even the lower of these estimates, when corrected for all the types of genetic variation that electrophoresis does not detect, implies total locus and gametic mutation rates well above those which in the past have dominated genetic thinking.     

Twenty-seven protein polymorphisms by two-dimensional electrophoresis of serum, erythrocytes, and fibroblasts in two pedigrees

Twenty-seven independent polymorphic loci were detected by two-dimensional electrophoresis (2DE) of serum, erythrocytes, and fibroblasts in two large families and analyzed for linkage to classical genetic markers. We detected seven serum, four erythrocyte, and 17 fibroblast protein loci that exhibited charge variation in these two families and in a sample of unrelated individuals. The genetic basis of protein variants was confirmed by quantitative gene-dosage dependence and by conformance to Mendelian transmission in the two families, except for four rare variants for which transmission analysis was not possible. Linkage analysis demonstrated that each of the variants represent products of independent loci, with the exception of erythrocyte locus (RBC4), which we also detected in fibroblasts (NC27). Two allozyme polymorphisms, glyoxalase-1 (GLO1) and phosphoglucomutase-3 (PGM3) were specifically identified here based on genotypic concordance and molecular mass. Unknown fibroblast protein (NC22) may be linked to apolipoprotein E (lod score = 2.8 at theta m = theta f = 0), while a serum protein locus (SER1) may be linked to alpha-haptoglobin (lod score = 2.54 at theta m = .20, theta f = .01). Six of seven polymorphic serum loci were previously located on two-dimensional gels: alpha-1 antitrypsin (PI), Gc-globulin (GC), alpha-2 HS glycoprotein (HSGA), alpha-haptoglobin (HP), and two apolipoproteins (APOE and APOA4). Six of 17 polymorphisms detected in fibroblasts were positionally identical to polymorphic loci seen in lymphocytes. These studies indicate a minimum level of average protein charge heterozygosity of approximately 2.2% for the most predominant human cellular proteins and of 5.6% for the most predominant proteins of serum.     

Sample size considerations in genetic polymorphism studies.

OBJECTIVES: Molecular studies for genetic polymorphisms are being carried out for a number of different applications, such as genetic disorders in different populations, pharmacogenomics, genetic identification of ethnic groups for forensic and legal applications, genetic identification of breed/stock in animals and plants for commercial applications and conservation of germ plasm. In this paper, for a random sampling scheme, we address two questions: (A) What should be the minimum size of the sample so that, with a prespecified probability, all alleles at a given locus (or haplotypes at a given set of loci) are detected? (B) What should be the sample size so that the allele frequency distribution at a given locus (or haplotype frequency distribution at a given set of loci) is estimated reliably within permissible error limits? METHODS: We have used combinatorial probabilistic arguments and Monte Carlo simulations to answer these questions. RESULTS: We found that the minimum sample size required in case A depends mainly on the prespecified probability of detecting all alleles, while in case B, it varies greatly depending on the permissible error in estimation (which will vary with the application). We have obtained the minimum sample sizes for different degrees of polymorphism at a locus under high stringency, as well as a relaxed level of permissible error. We present a detailed sampling procedure for estimating allele frequencies at a given locus, which will be of use in practical applications. CONCLUSION: Since the sample size required for reliable estimation of allele frequency distribution increases with the number of alleles at the locus, there is a strong case for using biallelic markers (like single nucleotide polymorphisms) when the available sample size is about 800 or less.     

Two more "private" polymorphisms of Amerindian tribes: LDHb GUA-1 and ACP1 B GUA-1 in the Guaymi in Panama.

A survey of Guaymi Indians of Panama for the occurrence of genetic variants of 25 proteins of the erythrocytes and sera have revealed, in addition to seven well-known genetic polymorphisms, four rare variants and two "private polymorphisms," the latter involving erythrocyte acid phosphatase and lactate dehydrogenase. The significance of such private polymorphisms in tribal populations to the interpretation of rare variants in civilized populations is emphasized.     

Evaluation of Clustering and Genotype Distribution for Replication in Genome Wide Association Studies: The Age-Related Eye Disease Study

Genome-wide association studies (GWASs) assess correlation between traits and DNA sequence variation using large numbers of genetic variants such as single nucleotide polymorphisms (SNPs) distributed across the genome. A GWAS produces many trait-SNP associations with low p-values, but few are replicated in subsequent studies. We sought to determine if characteristics of the genomic loci associated with a trait could be used to identify initial associations with a higher chance of replication in a second cohort. Data from the age-related eye disease study (AREDS) of 100,000 SNPs on 395 subjects with and 198 without age-related macular degeneration (AMD) were employed. Loci highly associated with AMD were characterized based on the distribution of genotypes, level of significance, and clustering of adjacent SNPs also associated with AMD suggesting linkage disequilibrium or multiple effects. Forty nine loci were highly associated with AMD, including 3 loci (CFH, C2/BF, LOC387715/HTRA1) already known to contain important genetic risks for AMD. One additional locus (C3) reported during the course of this study was identified and replicated in an additional study group. Tag-SNPs and haplotypes for each locus were evaluated for association with AMD in additional cohorts to account for population differences between discovery and replication subjects, but no additional clearly significant associations were identified. Relying on a significant genotype tests using a log-additive model would have excluded 57% of the non-replicated and none of the replicated loci, while use of other SNP features and clustering might have missed true associations.     

Sampling for Microsatellite-Based Population Genetic Studies: 25 to 30 Individuals per Population Is Enough to Accurately Estimate Allele Frequencies

One of the most common questions asked before starting a new population genetic study using microsatellite allele frequencies is “how many individuals do I need to sample from each population?” This question has previously been answered by addressing how many individuals are needed to detect all of the alleles present in a population (i.e. rarefaction based analyses). However, we argue that obtaining accurate allele frequencies and accurate estimates of diversity are much more important than detecting all of the alleles, given that very rare alleles (i.e. new mutations) are not very informative for assessing genetic diversity within a population or genetic structure among populations. Here we present a comparison of allele frequencies, expected heterozygosities and genetic distances between real and simulated populations by randomly subsampling 5–100 individuals from four empirical microsatellite genotype datasets (Formica lugubris, Sciurus vulgaris, Thalassarche melanophris, and Himantopus novaezelandia) to create 100 replicate datasets at each sample size. Despite differences in taxon (two birds, one mammal, one insect), population size, number of loci and polymorphism across loci, the degree of differences between simulated and empirical dataset allele frequencies, expected heterozygosities and pairwise F_ST values were almost identical among the four datasets at each sample size. Variability in allele frequency and expected heterozygosity among replicates decreased with increasing sample size, but these decreases were minimal above sample sizes of 25 to 30. Therefore, there appears to be little benefit in sampling more than 25 to 30 individuals per population for population genetic studies based on microsatellite allele frequencies.     

Molecular genetic diversity in 5 populations of Madhya Pradesh, India

This paper presents data on the distribution of 3 amplified fragment length polymorphisms (D1S80, APOB, and YNZ22) in 5 populations of Central India. Using the polymerase chain reaction technique, 3 caste (Brahmin, Khatri, and Dhimer) and 2 tribal (Gond and Baiga) populations were studied for the 3 loci. The allelic variations observed in the caste populations are compatible with those of many Caucasian populations, but the caste populations showed significant overall and interpopulation variability within the region. D1S80 allele *24 varied from 32% (Dhimers) to 42% (Brahmins). Allele *18 was not observed in Baiga tribal populations, but in caste populations it varied from 11% (Dhimers) to 24% (Brahmins). Both tribal populations showed higher frequencies of allele *31 (17%-18%). For APOB, caste populations again showed bimodal distribution of alleles *35 and *37, but in tribal populations higher allele numbers (*47, *49) were also frequent. For YNZ22, extensive variation was observed for all populations studied. Allele *4 was the most common in caste populations, while alleles *2, *7, and *10 were prominent in tribal populations. The level of gene differentiation is not very high for the 3 systems studied in the 5 populations. Overall, allele frequency distribution, heterozygosity, and genetic diversity analysis show that the genetic diversity observed is socially and geographically structured.     

Quantitative trait loci affecting growth in high growth (hg) mice

A genome-wide scan was performed in order to identify Quantitative Trait Loci (QTL) associated with growth in a population segregating high growth (hg), a partially recessive mutation that enhances growth rate and body size in the mouse. A sample of 262 hg/hg mice was selected from a C57BL/6J-hg/hg× CAST/EiJ F₂ cross and typed with 79 SSLP markers distributed across the genome. Eight significant loci were identified through interval mapping. Loci on Chromosomes (Chrs) 2 and 8 affected the growth rate of F₂ mice. Loci on Chr 2 and 11 affected growth rate and carcass lean mass (protein and ash). A locus on Chr 9 modified femur length and another one in Chr 17 affected both carcass lean mass and femur length, but none of these had significant effects on growth rate. Loci on Chrs 5 and 9 modified carcass fat content. Additive effects were positive for C57BL/6J alleles, except for the two loci affecting carcass fatness. Typing of selected markers in 274 +/+ F₂ mice revealed significant interactions between hg and other growth QTL, which were detected as changes in gene action (additive or dominant) and in allele substitution effects. Knowledge about interactions between loci, especially when major genes are involved, will help in the identification of positional candidate genes and in the understanding of the complex genetic regulation of growth rate and body size in mammals. Received: 29 June 2000 / Accepted: 22 November 2000     

Identification of rare genetic variants in novel loci associated with Paget’s disease of bone

In genome-wide association studies, single nucleotide polymorphisms located in five novel loci were associated with PDB. We aimed at identifying rare genetic variants of candidate genes located in these loci and search for genetic association with PDB in the French-Canadian population. Exons, promoter and exon–intron junctions from patients with familial PDB and healthy individuals were sequenced in candidate genes, located within novel loci associated with PDB in our population. Rare variant was defined by a minor allele frequency <0.05 or absent from dbSNP (NCBI). We sequenced seven genes in 1p13 locus, three genes in 7q33, three genes in 8q22, and five genes in 15q24 locus. We identified 126 rare variants in at least one patient with PDB of whom 55 were located in 1p13 locus, 32 in 7q33, 10 in 8q22 and 29 in 15q24 locus. We located 71 of these 126 rare variants in an intron, 30 in an exon and 9 in an untranslated region. 60 % of these variants were located in functionally relevant gene regions. Among the 12 missense rare variants in PDB, two (rs62620995 in TM7SF4; rs62641691 in CD276) were predicted to be damaging by in silico analysis tools. Rs62620995, which altered a conserved amino acid (p.Leu397Phe) in the TM7SF4 gene, encoding the DC-STAMP protein involved in osteoclastogenesis through RANK signaling pathway, was found to have a marginal association with PDB (p = 0.09). Rs35500845, located in the CTHRC1 gene, which encodes a regulator of collagen matrix deposition, was also associated with PDB in the French-Canadian population (p = 0.046).     

Population amalgamation and genetic variation: observations on artificially agglomerated tribal populations of Central and South America.

The interpretation of data on genetic variation with regard to the relative roles of different evolutionary factors that produce and maintain genetic variation depends critically on our assumptions concerning effective population size and the level of migration between neighboring populations. In humans, recent population growth and movements of specific ethnic groups across wide geographic areas mean that any theory based on assumptions of constant population size and absence of substructure is generally untenable. We examine the effects of population subdivision on the pattern of protein genetic variation in a total sample drawn from an artificial agglomerate of 12 tribal populations of Central and South America, analyzing the pooled sample as though it were a single population. Several striking findings emerge. (1) Mean heterozygosity is not sensitive to agglomeration, but the number of different alleles (allele count) is inflated, relative to neutral mutation/drift/equilibrium expectation. (2) The inflation is most serious for rare alleles, especially those which originally occurred as tribally restricted "private" polymorphisms. (3) The degree of inflation is an increasing function of both the number of populations encompassed by the sample and of the genetic divergence among them. (4) Treating an agglomerated population as though it were a panmictic unit of long standing can lead to serious biases in estimates of mutation rates, selection pressures, and effective population sizes. Current DNA studies indicate the presence of numerous genetic variants in human populations. The findings and conclusions of this paper are all fully applicable to the study of genetic variation at the DNA level as well.     

inGAP-family: Accurate Detection of Meiotic Recombination Loci and Causal Mutations by Filtering Out Artificial Variants due to Genome Complexities

Accurately identifying DNA polymorphisms can bridge the gap between phenotypes and genotypes and is essential for molecular marker assisted genetic studies. Genome complexities, including large-scale structural variations, bring great challenges to bioinformatic analysis for obtaining high-confidence genomic variants, as sequence differences between non-allelic loci of two or more genomes can be misinterpreted as polymorphisms. It is important to correctly filter out artificial variants to avoid false genotyping or estimation of allele frequencies. Here, we present an efficient and effective framework, inGAP-family, to discover, filter, and visualize DNA polymorphisms and structural variants (SVs) from alignment of short reads. Applying this method to polymorphism detection on real datasets shows that elimination of artificial variants greatly facilitates the precise identification of meiotic recombination points as well as causal mutations in mutant genomes or quantitative trait loci. In addition, inGAP-family provides a user-friendly graphical interface for detecting polymorphisms and SVs, further evaluating predicted variants and identifying mutations related to genotypes. It is accessible at https://sourceforge.net/projects/ingap-family/.     

Defining the spectrum of alleles that contribute to blood lipid concentrations in humans

PURPOSE OF REVIEW: Recently, genome-wide genetic screening of common DNA sequence variants has proven a successful approach to identify novel genetic contributors to complex traits. This review summarizes recent genome-wide association studies for lipid phenotypes, and evaluates the next steps needed to obtain a full picture of genotype-phenotype correlation and apply these findings to inform clinical practice. RECENT FINDINGS: So far, genome-wide association studies have defined at least 19 genomic regions that contain common DNA single nucleotide polymorphisms associated with LDL cholesterol, HDL cholesterol and/or triglycerides. Of these, eight represent novel loci in humans, whereas 11 genes have been previously implicated in lipoprotein metabolism. Many of the same loci with common variants have already been shown to lead to monogenic lipid disorders in humans and/or mice, suggesting that a spectrum of common and rare alleles at each validated locus contributes to blood lipid concentrations. SUMMARY: At least 19 loci harbor common variations that contribute to blood lipid concentrations in humans. Larger scale genome-wide association studies should identify additional loci, and sequencing of these loci should pinpoint all relevant alleles. With a full catalog of DNA polymorphisms in hand, a panel of lipid-related variants can be studied to provide clinical risk stratification and targeting of therapeutic interventions.     

陕西渭南地区汉族人群17个Y-STR基因座多态性及遗传关系分析

调查陕西渭南地区汉族群体17个Y-STR基因座的多态性,探讨其群体遗传学及法医学应用价值。应用Y-fi ler荧光标记复合扩增系统,对413名陕西渭南地区汉族无关男性个体17个Y-STR基因座进行复合扩增,用ABI3130遗传分析仪进行基因分型,计算各基因座的群体遗传学参数,并结合已经发表的其他10个群体相应基因座的单倍型资料,分析各群体间的遗传距离。413名陕西渭南汉族个体共检出405种单倍型,其中397种单倍型仅出现1次,单倍型多样性达0.9999,基因多样性(GD)为0.4130(DYS391)~0.9734(DYS385a/b),累计GD值为0.9999。遗传距离分析提示,陕西渭南汉族与辽宁满族的遗传距离最小(0.00110),与青海藏族的遗传距离最大(0.22333)。结果表明,17个Y-STR基因座在陕西渭南汉族群体中具有丰富的遗传多态性和较高的非父排除能力,在法医学和人类群体遗传学研究中具有重要价值。     

Genetic risk factors for nonsyndromic cleft lip with or without cleft palate in a Mesoamerican population: Evidence for IRF6 and variants at 8q24 and 10q25

INTRODUCTION: Nonsyndromic cleft lip with or without cleft palate (NSCL/P) is one of the most common of all birth defects. NSCL/P has a multifactorial etiology that includes both genetic and environmental factors. The IRF6 gene and three further susceptibility loci at 8q24, 10q25, and 17q22, which were identified by a recent genome‐wide association scan (GWAS), are confirmed genetic risk factors for NSCL/P in patients of European descent. METHODS: A case‐control association study was performed to investigate whether these four risk loci contribute to NSCL/P in a Mesoamerican population using four single nucleotide polymorphisms to represent IRF6 and the three novel susceptibility loci. A total of 149 NSCL/P patients and 303 controls of Mayan origin were included. RESULTS: Single marker analysis revealed a significant association between NSCL/P and risk variants in IRF6 and the 8q24 and 10q25 loci. In contrast to previous findings, the association at the 8q24 locus was driven solely by homozygote carriers of the risk allele. This suggests that this locus might act in a recessive manner in the Mayan population. No evidence for association was found at the 17q22 locus. This may have been attributable to the limited power of the sample. CONCLUSION: These results suggest that IRF6 and the 10q25 and 8q24 loci confer a risk for the development of NSCL/P in persons of Mayan origin. Birth Defects Research (Part A), 2010. © 2010 Wiley‐Liss, Inc.     

Discovery and assay of single-nucleotide polymorphisms in barley (Hordeum vulgare)

The least ambiguous genetic markers are those based on completely characterized DNA sequence polymorphisms. Unfortunately, assaying allele states by allele sequencing is slow and cumbersome. The most desirable type of genetic marker would be unambiguous, inexpensive to assay and would be assayable singly or in parallel with hundreds of other markers (multiplexable). In this report we sequenced alleles at 54 barley (Hordeum vulgare ssp. vulgare) loci, 38 of which contained single-nucleotide polymorphisms (SNPs). Many of these 38 loci contained multiple polymorphisms, and a total of 112 polymorphisms were scored in five barley genotypes. The polymorphism data set was analyzed both by using the individual mutations as cladistic characters and by reducing data for each locus to haplotypes. We compared the informativeness of these two approaches by consensus tree construction and bootstrap analysis. Both approaches provided similar results. Since some of the loci sequenced contained insertion/deletion events and multiple point mutations, we thought that these multiple-mutated loci might represent old alleles that predated the divergence of barley from H. spontaneum. We evaluated sequences from a sample of H. spontaneum accessions from the Eastern Mediterranean, and observed similar alleles present in both cultivated barley and H. spontaneum, suggesting either multiple domestication events or multiple transfers of genes between barley and its wild ancestor.