Thesis (Ph. D.)--Lehigh University, 2003. / Includes vita. Includes bibliographical references (leaves 150-165).

Diamond is a SPARQL query engine for linked data. Linked data is a sub-topic of the Semantic Web where data is represented as a labeled directed graph using the Resource Description Framework (RDF), a conceptual data model for web resources, to affect a web-wide interconnected, distributed labeled graph. SPARQL graph patterns entail portions of this distributed graph. Diamond compiles SPARQL queries into a physical query plan based on a set of newly defined operators that implement a new variant of the Rete match, a well known artificial intelligence (AI) algorithm used for complex pattern-matching problems. / text

published_or_final_version / Medical Sciences / Master / Master of Medical Sciences

Fumonisins, mycotoxins produced by the fungus, Fusarium moniliforme, which grows on maize, are a major worldwide agricultural problem. Consumption of contaminated maize feeds causes a wide variety of toxic effects in animals depending on the species of animal. In humans, high concentrations of fumonisins have been shown to correlate with increased incidence of oesophageal cancer (OC). Most analyses for fumonisins are done using high performance liquid chromatography (HPLC) which requires time-consuming extraction and clean-up prior to preparation of a fluorescent derivative. Enzyme-linked immunosorbent assays (ELISA), which are sensitive and specific, are a viable alternative but commercially available antibodies and kits are extremely expensive. Polyclonal antibodies against fumonisin B, (FB,) were raised in chickens and rabbits; all animals produced antibodies from week 2 onwards, the highest titre was at week 8 from one of the chickens. Cross-reactivities with FB, analogues were checked. A sensitive, quantitative competitive indirect ELISA (CI-ELISA) was developed and optimised; range 0.2 to 20 ng/ml (in buffer), detection limit 0.2 nglml (in buffer), intra-assay coefficient of variation (CV) was 5.33 % and inter-assay 7.04%. This method was adapted to analyse human plasma and urine samples. After removal of proteins by boiling, the range of recoveries of FBI were 94.7% toI12.4% at 4 ng/ml; and 94.6% to 108.7% at 8 ng/ml. Blood and urine samples from patients with OC (40 plasma, 17 urine), controls (21 plasma, 12 urine) and patients with other forms of cancer (20 plasma, 10 urine) were collected from hospitals in the Durban Metropolitan area and analysed for fumonisins. Detectable levels (>0.4 nglml) were found in 86.9% of plasma samples and 94.9% of urine samples. Statistical evaluation showed a highly significant difference between plasma results for OC and controls (p<0.000 1) but no significant difference between the urine results. Comparison of other forms of cancer and controls showed no significant differences for either the plasma or the urine samples. However, there was a highly significant difference between the OC and other forms of cancer results for both plasma (p<0.005) and urine (p<0.05) samples. Some samples (9 plasma, 8 urine) were checked by HPLC. For plasma samples there was correlation between the ELISA and HPLC methods (r = 0.656, p<0.005) but not for urine samples.

Hydrogeologists collect data through studies that originate from a diverse and growing set of instruments that measure, for example, geochemical constituents of surface and groundwater. Databases store and publish the collected data on the Web, and the volume of data is quickly increasing, which makes accessing data problematic and time consuming for individuals. One way to overcome this problem is to develop ontology to formally and explicitly represent the domain (e.g., contaminant hydrogeology) knowledge. Using OWL and RDF, contaminant hydrogeology ontology (CHO) is developed to manage hydrological spatial data for Georgia, USA. CHO is a conceptual computer model for the contaminant hydrogeology domain in which concepts (e.g. contaminant, aquifer) and their relationships (e.g. pollutes) are formerly and explicitly defined. Cyberinfrastructure for exposing CHO and datasets (i.e., CHKb) as Linked Data on the Web is developed. Cyberinfrastructure consists of storing, managing, querying, and visualizing CHKb that can be accessed from URL: cho.gsu.edu.

No description available.

The glycosylation pattern of a chimeric heavy chain antibody (EG2) produced from CHO cells was affected by the glucose concentration (0-25 mM) of cultures established at high density (>106 cells/ml) over 24 h. The resulting proportion of non-glycosylated Mab was directly correlated to the exposure time of cells to media depleted of glucose. Deprivation of glucose for the full 24 h resulted in a 52% non-glycosylated Mab fraction. Analysis of steady state levels of intracellular lipid-linked oligosaccharides (LLOs) showed that under glucose limitation there was a reduction in the amount of full length LLO (Glc3Man9GlcNac2), with a concomitant increase in the smaller mannosyl-glycans (Man2-5GlcNAc2). Glycan microheterogeneity was quantified by galactosylation and sialylation indices (GI and SI), which showed a direct correlation to the cell specific glucose uptake. These findings are important in relation to the low substrate that may occur in fed-batch cultures for Mab production.

The transactivator of transcription protein (Tat) of human immunodeficiency virus (HIV) plays an important role in both viral replication and AIDS pathogenesis. Tat is responsible for enhancing HIV-specific transcription, without which production of infectious virus is severely limited. Ongoing research, however, has identified a plethora of additional functions attributable to Tat including regulating additional HIV processes, altering the homeostasis of both infected and uninfected cells, and being directly involved in AIDS-related neuropathology and cancer. Tat thus plays a diverse role in both viral replication and pathogenesis. What is the relative importance of Tat’s additional functions compared to its principle function of transactivation? This question is explored in Chapter 2 in which tat clones from an epidemiologicallylinked transmission cohort were functionally tested. tat sequences were isolated and cloned from the cohort members at various time points and assessed for transactivation potential. The data revealed that transmission of HIV resulted in the selection of mutations in tat that were host specific and that impacted on the Tat clones’ abilities to transactivate. No correlation, however, was observed between the transactivation potentials of the Tat clones and the AIDS progression statuses of the hosts. The host-specific tat mutations may instead reflect the selection of variants fitter in one or more of Tat’s other functions. This therefore leads to the hypothesis that Tat functions in addition to transactivation are influential in AIDS pathogenesis and are subject to selective pressures during HIV transmission. Tat’s flexibility and diversity of functions are mediated by defined functional domains. One of the most important of these is the basic domain, a highly conserved region encompassing a unique nuclear localisation signal (NLS). The NLS allows Tat to localise to the cell nucleus to participate in transactivation. However, many of Tat’s additional functions require Tat to be outside of the nucleus or even outside of the cell. It is currently unknown how the NLS is modulated to enable Tat nuclear egress, but it may involve post-translational modifications of NLS residues. In Chapter 3, protein arginine methyltransferase 6 (PRMT6) is demonstrated to alter the localisation of Tat within the nucleus and increase the half-life of Tat within the cell. Both of these effects require the methylation activity of PRMT6 and two NLS residues, arginines 52 and 53, previously described to be substrates for PRMT6 methylation. The results suggest that PRMT6 primes Tat for functions outside of the nucleus by altering its subcellular localisation and increasing its stability. The critical role of the basic domain in Tat function is highlighted in Chapter 4 in which mutation of the basic domain led to dysregulation of HIV replication. The mutant, referred to as Nullbasic, has characteristics similar to transdominant Tat mutants, such as suppressing transactivation and localising to the cell cytoplasm. Surprisingly, Nullbasic potently inhibits HIV infectivity by strongly downregulating the expression of envelope, the key molecule involved in cell attachment and entry. Part of this downregulation is attributable to Nullbasic interfering with the nuclear export of envelope-encoding mRNA as a result of altering the subcellular localisation of Rev. However, an additional mechanism of interference is required to fully explain the strong suppression of envelope protein observed in cells. The data allude to a role for Tat in promoting envelope mRNA translation, a role subverted by mutating the basic domain. Taken together, these studies highlight the importance of a diversity of Tat functions to HIV replication and AIDS pathogenesis. Further, they emphasise the critical role of the basic domain to Tat function. Modifications of the basic domain not only influence function, but also regulate Tat spatially and temporally. Dysregulation of the basic domain by mutation not only subverts Tat function, but also elicits antiviral activity at multiple steps of the HIV lifecycle. The study of Tat and its basic domain is crucial in order to understand its role in HIV/AIDS and to recognise Tat as a pathogenic agent in its own right.

The Indonesian archipelago comprises more than 17,000 islands, inhabited by ~200 million people constituting more than 350 recognizable ethnic and tribal groups which can be classified into two broad ethno-linguistic groups [the Austronesian (AN) and non-Austronesian (NAN) speaking peoples] and 3 physical anthropology groups (Deutero Malay, Proto Malay and Papuan). The origins of these groups are of considerable anthropological interest. The anthropology of Indonesia is extremely complex and still controversial. The present populations of Indonesia show very great diversity. The data presented below result from an investigation of the Fragile X A syndrome and the size and distribution of alleles at fragile sites on the X chromosome among Javanese males with developmental disability (DD) and unselected males from 10 major Indonesian ethnic groups. The Fragile X syndrome is caused by expansion of a CGG trinucleotide repeat array in the 5' untranslated region of the FMR-1 gene at Xq27.3. Normal X chromosomes have between 6-54 CGG trinucleotide repeats, whereas premutation alleles have 55-230 and full mutation alleles more than 230 repeats. In a study of predominantly Caucasian males with intellectual disability, the prevalence of Fragile X syndrome is estimated to be approximately 1:4,000. FRAXE mental retardation syndrome is caused by an expansion of a GCC trinucleotide repeat in the 5'UTR of FMR2 gene located 600 kb telomeric to FMR1. The prevalence of FMR2 is 1-2 per 100,000 live births. FMR2 common alleles consist of 11-30 GGC repeats; intermediate alleles between 31-60 GCC repeats; premutation alleles with 61-200 repeats and full mutation alleles have over 200 repeats with attendant methylation of the repeat array The first Indonesian screening program aimed at determining the presence and prevalence of fragile XA syndrome among individuals with mild DD (IQ above 50) from special schools (N=205) and isolated areas (N=50) of Java was undertaken in 1994-1996 by cytogenetic and molecular studies. In this first study 4 fragile X positive children were found among 255 males with DD. The estimated prevalence of fragile-X in males with mild DD from special schools was 1.95% (5/205) and the overall prevalence was 1.57% (4/255). The number of trinucleotide repeats in the 5' untranslated regions of the FMR1 and FMR2 genes were determined by PCR in 254 Fragile XA-negative Javanese male children with DD. The distribution of FMR1 and FMR2 trinucleotide repeat alleles was found to be significantly different in the Indonesian population with DD compared to that in equivalent Caucasian populations. The trimodal distribution of Indonesian FMR1 alleles (29, 30 and 36 repeats) is largely in agreement with findings from other Asian populations). This provides supportive evidence that the origin of Indonesians could be the same as that of the Chinese and Japanese. Sequence analysis was performed on the trinucleotide repeat arrays of the 27 individuals' FMR1 alleles in the 'grey zone' (35-52 repeats). The identification of 16 unrelated individuals with a (CGG)36 allele that also contains a (CGG)6 segment [(CGG)9AGG(CGG)9AGG(CGG)6 AGG(CGG)9 or 9A9A6A9 pattern] is in agreement with earlier observations in the Japanese population. It is proposed that this FMR1 array pattern may be specific for Asian populations and that Javanese and Japanese populations may have arisen from a single progenitor population. The presence of pure 25, 33 and 34 CGGs in FMR1 alleles with 36, 44 and 45 repeats respectively, suggests that these may represent alleles at high risk for instability and may therefore be at early stages of expansion to a premutation. The lack of the characteristic (CGG)6 in all three alleles with ?? 25 pure CGG arrays suggests that the most common Asian 36 repeat allele is not predisposed to slippage expansion. Seven of the 8 alleles with 36 CGG repeats could be sequenced. Seven of 36 CGG repeats FMR1 alleles from the Hiri population has been sequenced and 4 alleles indicated 9A9A6A9 pattern, 1 sample with 10A25 pattern Two of the remaining alleles showed 12A6A6A9 structure, which consisted of a tandem duplication of the (CGG)6 segment. The presence of a tandem duplication of (CGG)6 segments has never been reported in any other population. The other major findings of this study are that FRAXE syndrome is a rare cause of developmental disability in this predominantly-Javanese population. The most common FMR2 (GCC)20 allele in this selected Asian population is significantly longer than that previously reported for Caucasian populations. There was a weak correlation between the overall length of the FMR1 and FMR2 repeat arrays within the normal range (Spearman's Rank Correlation = 0.130, p-value=0.042) in the Indonesian population, which have been no previous associations reported for alleles within the normal range. One approach to studying the origins of the human populations is to study the genetic structure of polymorphic alleles such as those at the FMR1 locus and its linked microsatellite markers DXS548 and FRAXAC1. Length polymorphisms of the FMR1 gene (CGG)n repeat array, DXS548 and FRAXAC1 were studied in a total of 1,008 unselected males from 10 different Indonesian ethnic groups. FMR1 alleles were identified ranging from 8 to 57 CGG repeats. The most common CGG repeat allele was 29 (45.6%) followed by 30 (27.4%) and 36 repeats (8.0%). One hundred and forty four grey zone (3-52 CGG) alleles were found in the study population. Four people of the same ethnic group from an isolated island in Eastern Indonesia (Hiri, Ternate), a representative of the NAN ethnolinguistic group, had CGG repeat lengths of 55-57. The prevalence of these alleles is estimated to be 3.3% (4/120) in the population of Hiri or 0.4% (4/1008) of whole Indonesian population. Thirteen different alleles were found at the DXS548 locus, of which allele numbers 7 [194 bp] (44.1%), 6.5 [195bp] (43.5%) and 6 [196bp] (7.5%) are the most common. Seven rare alleles, some of which have not been previously found in Asian peoples were also identified (190, 191,192, 193, 197,198, 199, 202, 204 and 206) and accounted for 3.9% of the total. The odd number alleles were dominantly found in this study whereas almost none found in Caucasian. The finding of many "odd numbered" alleles DXS548 has never been found in other Asian population and has only been documented extremely rarely in Caucasians and Africans. Five different alleles of FRAXAC1 identified with alleles D [106 bp] (62.2%) and C [108bp] (35.6%) accounting for 97.8% of FRAXAC1 alleles in the population. Three rare alleles (104, 110, 112 bp = 2.2%) were identified that have not been previously found in other Asian populations (1-3). There is a striking linkage disequilibrium of FMR1 alleles with FRAXAC1 (p=0.0001), 88% of 29 (CGG)n repeats alleles associated with FRAXAC1 allele D (106bp) versus only 17% with the 30 (CGG)n repeat alleles, which is in agreement with other studies. The value of D' was calculated to be 0.7. The longer alleles of both DXS548 and FRAXAC1 were found mostly in the NAN ethnolinguistic group. Moreover the Irian Jaya people also showed a higher percentage of people with 30 CGG repeats and the 108 bp FRAXAC1. The Eastern Indonesian NAN groups demonstrate a different genetic background probably due to the contribution of Melanesian peoples. The Analysis of Molecular Variance (AMOVA) identified that the vast majority of genetic diversity occurs within, rather than between, ethnic groups. These data are consistent with a model where there is sufficient migration (~20 per generation) between populations to minimise differentiation of population through genetic drift. The results obtained are consistent with three clusters of populations that share similar allele frequencies at the fragile X locus. The most clearly defined cluster is based in the east of Indonesia and includes the two Irian populations, Minahasans and Hiri. A surprising finding was that the Minahasan who are Deutero-Malay in origin and physical appearance are genetically closer to the Irianese. This may reflect the admixture of Melanesian alleles or other eastern Indonesian alleles as a result of their geographic location in that part of Indonesia. The second major cluster is largely based in the west of the country and is composed of the following Deutero-Malay populations; Javanese, Balinese, Acehnese but which also includes people from Ternate (not including those from Hiri). Using Delta Mu and Nei's genetic distance for FMR1 locus in this study the Javanese were shown to have the closest distance to Balinese which is consistent with anthropological data and with published data. The third group is a "western and central" group composed of Bimanese, Dayak and Sundanese who share some features of the western and eastern clusters but mostly resemble the western Indonesian populations. Bima is located in the lesser Sunda in between west Indonesia and east Indonesia. The Bimanese are of mixed Deutero & Proto Malay origin that is consistent with their geographic location. The Bataks are distinctive and sit somewhat apart in this scheme. In this study, Bataks were found not to resemble the other Proto-Malay group studied (the Dayak). The Dayaks were found to have fewer alleles than the Bataks at FRAXAC1 and DXS548. In all four methods of calculating genetic distance Bataks showed a large genetic distance to almost all other ethnic groups. There are differences in allele frequency between east and west Indonesia as well as other Asian nations, but the genetic similarities between these groups are also very impressive. The findings from this study are consistent with other genetic anthropological evidence that the people of Indonesia have the same origin as North-east Asian groups. This model is referred to as the "express train from Taiwan" in which the Austronesian speakers are proposed to have radiated from Taiwan bringing the Malayo-Polynesian language group to the Philippines, Borneo and Sulawesi around 5000-4500 B.P.E. However Richards et al.(1998) have used the diversity in the mtDNA D Loop to propose an alternative to the "express train" model. The "two train7quot; model proposes that the Austronesian languages originated within eastern Indonesia during the Pleistocene era and spread through Melanesia and into the remote Pacific within the past 6,000 years. Unfortunately the high migration rates between population groups that were demonstrated in this thesis and the known migration patterns of populations through Indonesia preclude determining whether the observed allelic heterogeneity is a function of the original population or due to the admixture of several gene pools in more recent times.

The Indonesian archipelago comprises more than 17,000 islands, inhabited by ~200 million people constituting more than 350 recognizable ethnic and tribal groups which can be classified into two broad ethno-linguistic groups [the Austronesian (AN) and non-Austronesian (NAN) speaking peoples] and 3 physical anthropology groups (Deutero Malay, Proto Malay and Papuan). The origins of these groups are of considerable anthropological interest. The anthropology of Indonesia is extremely complex and still controversial. The present populations of Indonesia show very great diversity. The data presented below result from an investigation of the Fragile X A syndrome and the size and distribution of alleles at fragile sites on the X chromosome among Javanese males with developmental disability (DD) and unselected males from 10 major Indonesian ethnic groups. The Fragile X syndrome is caused by expansion of a CGG trinucleotide repeat array in the 5' untranslated region of the FMR-1 gene at Xq27.3. Normal X chromosomes have between 6-54 CGG trinucleotide repeats, whereas premutation alleles have 55-230 and full mutation alleles more than 230 repeats. In a study of predominantly Caucasian males with intellectual disability, the prevalence of Fragile X syndrome is estimated to be approximately 1:4,000. FRAXE mental retardation syndrome is caused by an expansion of a GCC trinucleotide repeat in the 5'UTR of FMR2 gene located 600 kb telomeric to FMR1. The prevalence of FMR2 is 1-2 per 100,000 live births. FMR2 common alleles consist of 11-30 GGC repeats; intermediate alleles between 31-60 GCC repeats; premutation alleles with 61-200 repeats and full mutation alleles have over 200 repeats with attendant methylation of the repeat array The first Indonesian screening program aimed at determining the presence and prevalence of fragile XA syndrome among individuals with mild DD (IQ above 50) from special schools (N=205) and isolated areas (N=50) of Java was undertaken in 1994-1996 by cytogenetic and molecular studies. In this first study 4 fragile X positive children were found among 255 males with DD. The estimated prevalence of fragile-X in males with mild DD from special schools was 1.95% (5/205) and the overall prevalence was 1.57% (4/255). The number of trinucleotide repeats in the 5' untranslated regions of the FMR1 and FMR2 genes were determined by PCR in 254 Fragile XA-negative Javanese male children with DD. The distribution of FMR1 and FMR2 trinucleotide repeat alleles was found to be significantly different in the Indonesian population with DD compared to that in equivalent Caucasian populations. The trimodal distribution of Indonesian FMR1 alleles (29, 30 and 36 repeats) is largely in agreement with findings from other Asian populations). This provides supportive evidence that the origin of Indonesians could be the same as that of the Chinese and Japanese. Sequence analysis was performed on the trinucleotide repeat arrays of the 27 individuals' FMR1 alleles in the 'grey zone' (35-52 repeats). The identification of 16 unrelated individuals with a (CGG)36 allele that also contains a (CGG)6 segment [(CGG)9AGG(CGG)9AGG(CGG)6 AGG(CGG)9 or 9A9A6A9 pattern] is in agreement with earlier observations in the Japanese population. It is proposed that this FMR1 array pattern may be specific for Asian populations and that Javanese and Japanese populations may have arisen from a single progenitor population. The presence of pure 25, 33 and 34 CGGs in FMR1 alleles with 36, 44 and 45 repeats respectively, suggests that these may represent alleles at high risk for instability and may therefore be at early stages of expansion to a premutation. The lack of the characteristic (CGG)6 in all three alleles with ?? 25 pure CGG arrays suggests that the most common Asian 36 repeat allele is not predisposed to slippage expansion. Seven of the 8 alleles with 36 CGG repeats could be sequenced. Seven of 36 CGG repeats FMR1 alleles from the Hiri population has been sequenced and 4 alleles indicated 9A9A6A9 pattern, 1 sample with 10A25 pattern Two of the remaining alleles showed 12A6A6A9 structure, which consisted of a tandem duplication of the (CGG)6 segment. The presence of a tandem duplication of (CGG)6 segments has never been reported in any other population. The other major findings of this study are that FRAXE syndrome is a rare cause of developmental disability in this predominantly-Javanese population. The most common FMR2 (GCC)20 allele in this selected Asian population is significantly longer than that previously reported for Caucasian populations. There was a weak correlation between the overall length of the FMR1 and FMR2 repeat arrays within the normal range (Spearman's Rank Correlation = 0.130, p-value=0.042) in the Indonesian population, which have been no previous associations reported for alleles within the normal range. One approach to studying the origins of the human populations is to study the genetic structure of polymorphic alleles such as those at the FMR1 locus and its linked microsatellite markers DXS548 and FRAXAC1. Length polymorphisms of the FMR1 gene (CGG)n repeat array, DXS548 and FRAXAC1 were studied in a total of 1,008 unselected males from 10 different Indonesian ethnic groups. FMR1 alleles were identified ranging from 8 to 57 CGG repeats. The most common CGG repeat allele was 29 (45.6%) followed by 30 (27.4%) and 36 repeats (8.0%). One hundred and forty four grey zone (3-52 CGG) alleles were found in the study population. Four people of the same ethnic group from an isolated island in Eastern Indonesia (Hiri, Ternate), a representative of the NAN ethnolinguistic group, had CGG repeat lengths of 55-57. The prevalence of these alleles is estimated to be 3.3% (4/120) in the population of Hiri or 0.4% (4/1008) of whole Indonesian population. Thirteen different alleles were found at the DXS548 locus, of which allele numbers 7 [194 bp] (44.1%), 6.5 [195bp] (43.5%) and 6 [196bp] (7.5%) are the most common. Seven rare alleles, some of which have not been previously found in Asian peoples were also identified (190, 191,192, 193, 197,198, 199, 202, 204 and 206) and accounted for 3.9% of the total. The odd number alleles were dominantly found in this study whereas almost none found in Caucasian. The finding of many "odd numbered" alleles DXS548 has never been found in other Asian population and has only been documented extremely rarely in Caucasians and Africans. Five different alleles of FRAXAC1 identified with alleles D [106 bp] (62.2%) and C [108bp] (35.6%) accounting for 97.8% of FRAXAC1 alleles in the population. Three rare alleles (104, 110, 112 bp = 2.2%) were identified that have not been previously found in other Asian populations (1-3). There is a striking linkage disequilibrium of FMR1 alleles with FRAXAC1 (p=0.0001), 88% of 29 (CGG)n repeats alleles associated with FRAXAC1 allele D (106bp) versus only 17% with the 30 (CGG)n repeat alleles, which is in agreement with other studies. The value of D' was calculated to be 0.7. The longer alleles of both DXS548 and FRAXAC1 were found mostly in the NAN ethnolinguistic group. Moreover the Irian Jaya people also showed a higher percentage of people with 30 CGG repeats and the 108 bp FRAXAC1. The Eastern Indonesian NAN groups demonstrate a different genetic background probably due to the contribution of Melanesian peoples. The Analysis of Molecular Variance (AMOVA) identified that the vast majority of genetic diversity occurs within, rather than between, ethnic groups. These data are consistent with a model where there is sufficient migration (~20 per generation) between populations to minimise differentiation of population through genetic drift. The results obtained are consistent with three clusters of populations that share similar allele frequencies at the fragile X locus. The most clearly defined cluster is based in the east of Indonesia and includes the two Irian populations, Minahasans and Hiri. A surprising finding was that the Minahasan who are Deutero-Malay in origin and physical appearance are genetically closer to the Irianese. This may reflect the admixture of Melanesian alleles or other eastern Indonesian alleles as a result of their geographic location in that part of Indonesia. The second major cluster is largely based in the west of the country and is composed of the following Deutero-Malay populations; Javanese, Balinese, Acehnese but which also includes people from Ternate (not including those from Hiri). Using Delta Mu and Nei's genetic distance for FMR1 locus in this study the Javanese were shown to have the closest distance to Balinese which is consistent with anthropological data and with published data. The third group is a "western and central" group composed of Bimanese, Dayak and Sundanese who share some features of the western and eastern clusters but mostly resemble the western Indonesian populations. Bima is located in the lesser Sunda in between west Indonesia and east Indonesia. The Bimanese are of mixed Deutero & Proto Malay origin that is consistent with their geographic location. The Bataks are distinctive and sit somewhat apart in this scheme. In this study, Bataks were found not to resemble the other Proto-Malay group studied (the Dayak). The Dayaks were found to have fewer alleles than the Bataks at FRAXAC1 and DXS548. In all four methods of calculating genetic distance Bataks showed a large genetic distance to almost all other ethnic groups. There are differences in allele frequency between east and west Indonesia as well as other Asian nations, but the genetic similarities between these groups are also very impressive. The findings from this study are consistent with other genetic anthropological evidence that the people of Indonesia have the same origin as North-east Asian groups. This model is referred to as the "express train from Taiwan" in which the Austronesian speakers are proposed to have radiated from Taiwan bringing the Malayo-Polynesian language group to the Philippines, Borneo and Sulawesi around 5000-4500 B.P.E. However Richards et al.(1998) have used the diversity in the mtDNA D Loop to propose an alternative to the "express train" model. The "two train7quot; model proposes that the Austronesian languages originated within eastern Indonesia during the Pleistocene era and spread through Melanesia and into the remote Pacific within the past 6,000 years. Unfortunately the high migration rates between population groups that were demonstrated in this thesis and the known migration patterns of populations through Indonesia preclude determining whether the observed allelic heterogeneity is a function of the original population or due to the admixture of several gene pools in more recent times.