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DNA polymorphic markers and self-defined ethnicity groupings are used to group individuals with shared ancient geographic ancestry. Here we studied whether ancestral relationships between individuals could be identified from metabolic screening data reported by the California newborn screening (NBS) program. NBS data includes 41 blood metabolites measured by tandem mass spectrometry from singleton babies in 17 parent-reported ethnicity groupings. Ethnicity-associated differences identified for 71% of NBS metabolites (29 of 41, Cohen's dgt; 0.5) showed larger differences in blood levels of acylcarnitines than of amino acids (Plt; 1e-4). A metabolic distance measure, developed to compare ethnic groupings based on metabolic differences, showed low positive correlation with genetic and ancient geographic distances between the groups' ancestral world populations. Several outlier group pairs were identified with larger genetic and smaller metabolic distances (Black versus White) or with smaller genetic and larger metabolic distances (Chinese versus Japanese) indicating the influence of genetic and of environmental factors on metabolism. Using machine learning, comparison of metabolic profiles between all pairs of ethnic groupings distinguished individuals with larger genetic distance (Black versus Chinese, AUC = 0.96), while genetically more similar individuals could not be separated metabolically (Hispanic versus Native American, AUC = 0.51). Additionally, we identified metabolites informative for inferring metabolic ancestry in individuals from genetically similar populations, which included biomarkers for inborn metabolic disorders (C10:1, C12:1, C3, C5OH, Leucine-Isoleucine). This work sheds new light on metabolic differences in healthy newborns in diverse populations, which could have implications for improving genetic disease screening.

Single-nucleotide polymorphisms (SNPs) and small genomic regions with multiple SNPs (microhaplotypes, MHs) are rapidly emerging as novel forensic investigative tools to assist in individual identification, kinship analyses, ancestry inference, and deconvolution of DNA mixtures. Here, we analyzed information for 90 microhaplotype loci in 4009 individuals from 79 world populations in 6 major biogeographic regions. The study included multiplex microhaplotype sequencing (mMHseq) data analyzed for 524 individuals from 16 populations and genotype data for 3485 individuals from 63 populations curated from public repositories. Analyses of the 79 populations revealed excellent characteristics for this 90-plex MH panel for various forensic applications achieving an overall average effective number of allele values (Ae) of 4.55 (range 1.04–19.27) for individualization and mixture deconvolution. Population-specific random match probabilities ranged from a low of 10–115 to a maximum of 10–66. Mean informativeness (In) for ancestry inference was 0.355 (range 0.117–0.883). 65 novel SNPs were detected in 39 of the MHs using mMHseq. Of the 3018 different microhaplotype alleles identified, 1337 occurred at frequencies > 5% in at least one of the populations studied. The 90-plex MH panel enables effective differentiation of population groupings for major biogeographic regions as well as delineation of distinct subgroupings within regions. Open-source, web-based software is available to support validation of this technology for forensic case work analysis and to tailor MH analysis for specific geographical regions.

In recent years, the number of publications on microhaplotypes has averaged more than a dozen papers annually. Many have contributed to a significant increase in the number of highly polymorphic microhaplotype loci. This increase allows microhaplotypes to be very informative in four main areas of forensic uses of DNA: individualization, ancestry inference, kinship analysis, and mixture deconvolution. The random match Probability (RMP) can be as small as 10−100 for a large panel of microhaplotypes. It is possible to measure the heterozygosity of an MH as the effective number of alleles (Ae). Ae > 7.5 exists for African populations and >4.5 exists for Native American populations for a smaller panel of two dozen selected microhaplotypes. Using STRUCTURE, at least 10 different ancestral clusters can be defined by microhaplotypes. The Ae for a locus is also identical to the Paternity Index (PI), the measure of how informative a locus will be in parentage testing. High Ae loci can also be useful in missing persons cases. Finally, high Ae microhaplotypes allow the near certainty of seeing multiple additional alleles in a mixture of two or more individuals in a DNA sample. In summary, a panel of higher Ae microhaplotypes can outperform the standard CODIS markers.

The single nucleotide polymorphisms (SNPs) of the dopamine D3 receptor (DRD3), the CUB and sushi multiple domains 1 (CSMD1) and the neuregulin 1 (NRG1) genes were used to study the genetic diversity and affinity among North African populations and to examine their genetic relationships in worldwide populations.The rs3773678, rs3732783 and rs6280 SNPs of the DRD3 gene located on chromosome 3, the rs10108270 SNP of the CSMD1 gene and the rs383632, rs385396 and rs1462906 SNPs of the NRG1 gene located on chromosome 8 were analysed in 366 individuals from seven North African populations (Libya, Kairouan, Mehdia, Sousse, Kesra, Smar and Kerkennah).The low values of FThe Kairouan population exhibited a relatively low rate of genetic variability. The North African population has undergone significant gene flow but also evolutionary forces that have made it genetically distinct from other populations.

A small panel of highly informative loci that can be genotyped on the same equipment as the standard CODIS short tandem repeat (STR) markers has strong potential for application in forensic casework. Single nucleotide polymorphisms (SNPs) can be typed by a couple of methods on capillary electrophoresis (CE) machines and on sequencers, but the amount of information relative to the laboratory effort has hindered use of SNPs in actual casework. Insertion-deletion markers (InDels) suffer from similar problems. Microhaplotypes (MHs) are much more informative per locus but have similar technical difficulties unless they are typed by massively parallel sequencing (MPS). As forensic labs are acquiring sequencing machines, MHs become more likely to be used in casework, especially if multiplexed with STRs. Here we present the details of a multipurpose panel of 24 MHs with the highest effective number of alleles (A

Population genetic studies of North Asian ethnic groups have focused on genetic variation of sex chromosomes and mitochondria. Studies of the extensive variation available from autosomal variation have appeared infrequently. We focus on relationships among population samples using new North Asia microhaplotype data. We combined genotypes from our laboratory on 58 microhaplotypes, distributed across 18 autosomes, on 3945 individuals from 75 populations with corresponding data extracted for 26 populations from the Thousand Genomes consortium and for 22 populations from the GenomeAsia 100 K project. A total of 7107 individuals in 122 total populations are analyzed using STRUCTURE, Principal Component Analysis, and phylogenetic tree analyses. North Asia populations sampled in Mongolia include: Buryats, Mongolians, Altai Kazakhs, and Tsaatans. Available Siberians include samples of Yakut, Khanty, and Komi Zyriane. Analyses of all 122 populations confirm many known relationships and show that most populations from North Asia form a cluster distinct from all other groups. Refinement of analyses on smaller subsets of populations reinforces the distinctiveness of North Asia and shows that the North Asia cluster identifies a region that is ancestral to Native Americans.

Background Only a few studies have investigated the association of single nucleotide polymorphisms in STAT3 gene with the susceptibility to cancer and response to chemotherapy. Our aim was to determine the allele frequencies of rs3869550, rs957971, and rs7211777 at the STAT3 gene in North African populations and compare them to 1000 genomes populations, and to investigate their relation with cancer. Methods The targeted SNPs have been analyzed in six Tunisian populations and a sample of Libyans using TaqMan® Assay. The results were compared to 1000 Genomes Project population samples. Targeting of the regions encompassing the three SNPs by micro‐ARN was assessed using miR databases. Results The analysis of the 3 SNPs showed that North African populations were close to South Asians. As expected, African populations presented a significant frequency of the ancestral CCG haplotype in contrast to other populations where the fully derived TGA haplotype was more frequent. The presence and diversity of rare haplotypes at STAT3 in North African populations could have been generated by recombination between the two major haplotypes. A screening of the micro‐RNA databases showed that the STAT3 region with the mutated allele of rs7211777 (G>A) could be targeted by miR hsa‐miR‐3606‐5p, which also targets genes involved in breast cancer., There are very few studies that have studied the STAT3 gene in North Africa. Determine the distribution of allelic, genotypic and haplotypic frequencies of rs3869550, rs957971, and rs7211777 at the STAT3 gene in North African populations and make comparison to other populations. The STAT3 region with the mutated allele of rs7211777 (G>A) could be targeted by miR hsa‐miR‐3606‐5p, which also target genes involved in breast cancer.

The COMT gene encodes for catechol-O-methyl-transferase, an enzyme playing a major role in regulation of synaptic catecholamine neurotransmitters. Investigating 4 markers of the COMT gene (rs2020917, rs4818, rs4680, rs9332377) in 6 Tunisian populations and a pool of Libyans. Our objective was to determine the distribution of allelic, genotypic and haplotypic frequencies by comparison to other populations of the 1000 genomes project and 59 populations from the Kidd Lab dataset. The allelic frequencies established for these SNPs in the North African populations are similar to those of Europeans and South Asians. Linkage disequilibrium between these SNPs and haplotypes frequencies are different between populations whose clustering in principal components analysis (PCA) according to their geographic origin was more significant using haplotypic frequencies. COMT activity prediction by haplotypes genotyping could be limited to rs4818-rs4680 micro-haplotypes. The Low activity haplotype (CG) displays the highest frequency in African populations (55%), in the 59 Kidd Lab populations we found also that Sub-Saharan Africans, Native Americans, and some East Asian and Pacific Island populations all have frequencies in the 50-81% range for (CG) where as its lowest frequency was found in Europeans (10%), this results have been also confirmed for Southwest Asians. North Africans and South Asians with intermediate frequencies have approximately similar values (20% and 25%). Europeans show the highest frequencies of haplotypes with predicted High and Medium activity in contrast to Africans. North Africans and South Asians present similar results for all the category of the COMT activity prediction by haplotypes genotyping. The high level of genetic diversity of COMT haplotypes, not only allows distinction between populations according to their history settlement, origin and ethnicity, it constitutes a basis for studies of association of the COMT gene polymorphism with pathologies, drugs response and for forensic investigation in North African populations. This work was partially supported by the Tunisian Ministry of Higher Education and Scientific Research as well as by the University of Tunis El Manar . Special thanks go to the thousands of individuals around the world who volunteered to give blood and saliva samples to made this study possible. Scopus

WOS:000577218500005 PubMed ID: 32963319 Oculocutaneous Albinism type 2 (OCA2) is a gene of great interest because of genetic variation affecting normal pigmentation variation in humans. The diverse geographic patterns for variant frequencies at OCA2 have been evident but have not been systematically investigated, especially outside of Europe. Here we examine population genetic variation in and near the OCA2 gene from a worldwide perspective. The very different patterns of genetic variation found across world regions suggest strong selection effects may have been at work over time. For example, analyses involving the variants that affect pigmentation of the iris argue that the derived allele of the rs1800407 single nucleotide polymorphism, which produces a hypomorphic protein, may have contributed to the previously demonstrated positive selection in Europe for the enhancer variant responsible for light eye color. More study is needed on the relationships of the genetic variation at OCA2 to variation in pigmentation in areas beyond Europe. NIJ Grants - National Institute of Justice, Office of Justice Programs, U.S. Department of Justice [2018-75-CX-0041, 2015-DN-BX-K023, 2016-DN-BX-0162, 2014-DN-BX-K030] The assembly and data analyses were funded primarily by NIJ Grants 2018-75-CX-0041, 2015-DN-BX-K023, 2016-DN-BX-0162, and 2014-DN-BX-K030 to KKK awarded by the National Institute of Justice, Office of Justice Programs, U.S. Department of Justice. Points of view in this presentation are those of the authors and do not necessarily represent the official position or policies of the U.S. Department of Justice. The authors thank Dr. Francoise R. Friedlaender for her expert help in creating Figs. 1, 2, 3 and 4. We would like to acknowledge all of our collaborators who helped collect the samples used in this research as well as the National Laboratory for the Genetics of Israeli Populations at Tel Aviv University and the Coriell Cell Repositories. Special thanks are due to the many hundreds of individuals who volunteered to give blood or saliva samples for studies of gene frequency variation.

The benefits of ancestry informative SNP (AISNP) panels can best accrue and be properly evaluated only as sufficient reference population data become readily accessible. Ideally the set of reference populations should approximate the genetic diversity of human populations worldwide. The Kidd and Seldin AISNP sets are two panels that have separately accumulated thus far the largest and most diverse collections of data on human reference populations from the major continental regions. A recent tally in the ALFRED allele frequency database finds 164 reference populations available for all the 55 Kidd AISNPs and 132 reference populations for all the 128 Seldin AISNPs. Although much more of the genetic diversity in human populations around the world still needs to be documented, 81 populations have genotype data available for all 170 AISNPs in the union of the Kidd and Seldin panels. In this report we examine admixture and principal component analyses on these 81 worldwide populations and some regional subsets of these reference populations to determine how well the combined panel illuminates population relationships. Analyses of this dataset that focused on Native American populations revealed very strong cluster patterns associated with many of the individual populations studied.

Microhaplotypes have become a new type of forensic marker with a great ability to identify and deconvolute mixtures because massively parallel sequencing (MPS) allows the alleles (haplotypes) of the multi-SNP loci to be determined directly for an individual. As originally defined, a microhaplotype locus is a short segment of DNA with two or more SNPs defining three or more haplotypes. The length is short enough, less than about 300 bp, that the read length of current MPS technology can produce a phase-known sequence of each chromosome of an individual. As part of the discovery phase of our studies, data on 130 microhaplotype loci with estimates of haplotype frequency data on 83 populations have been published. To provide a better picture of global allele frequency variation, we have now tested 13 more populations for 65 of the microhaplotype loci from among those with higher levels of inter-population gene frequency variation, including 8 loci not previously published. These loci provide clear distinctions among 6 biogeographic regions and provide some information distinguishing up to 10 clusters of populations. Electronic supplementary material The online version of this article (10.1007/s00414-017-1748-6) contains supplementary material, which is available to authorized users.

Today the primary DNA markers used in forensics are short tandem repeat (STR) polymorphisms (STRPs), initially selected because they are highly polymorphic. However, the increasingly common need to deal with samples with a mixture of DNA from two or more individuals sometimes is complicated by the inherent stutter involved with PCR amplification, especially in strongly unbalanced mixtures when the minor component coincides with the stutter range of the major component. Also, the STRPs in use provide little evidence of ancestry of a single source sample beyond broad "continental" resolution. Methodologies for analyzing DNA have become much more powerful in recent years. Massively parallel sequencing (MPS) is a new method being considered for routine use in forensics. Primarily to aid in mixture deconvolution and avoid the issue of stutter, we have begun to investigate a new type of forensic marker, microhaplotype loci, that will provide useful information on mixtures of DNA and on ancestry when typed using massively parallel sequencing (MPS). We have identified 130 loci and estimated their haplotype (allele) frequencies in 83 different population samples. Many of these loci are shown to be highly informative for individual identification and for mixture identification and deconvolution.

The set of 55 ancestry informative SNPs (AISNPs) originally developed by the Kidd Lab has been studied on a large numberof populations and continues to be applied to new population samples. The existing reference database of population samplesallows the relationships of new population samples to be inferred on a global level. Analyses show that these autosomalmarkers constitute one of the better panels of AISNPs. Continuing to build this reference database enhances its value.Because more than half of the 25 ethnic groups recently studied with these AISNPs are from Southwest Asia and theMediterranean region, we present here various analyses focused on populations from these regions along with selectedreference populations from nearby regions where genotype data are available. Many of these ethnic groups have not beenpreviously studied for forensic markers. Data on populations from other world regions have also been added to the databasebut are not included in these focused analyses. The new population samples added to ALFRED and FROG-kb increase thetotal to 164 population samples that have been studied for all 55 AISNPs.

The dopamine - related genes, like dopamine D2 receptor (DRD2) gene and ankyrin repeat and kinase domain containing 1 (ANKK1) gene are implicated in neurological functions. Some polymorphisms of the DRD2/ANKK1 locus (TaqIA, TaqIB, TaqID) have been used to study genetic diversity and the evolution of human populations. The present investigation aims to assess the genetic diversity in seven North African populations in order to explore their genetic structure and to compare them to others worldwide populations studied for the same locus. Nine single nucleotide polymorphisms (SNPs) from the DRD2/ANKK1 locus (rs1800497 TaqIA, rs2242592, rs1124492, rs6277, rs6275, rs1079727, rs2002453, rs2234690 and rs1079597 TaqIB) were typed in 366 individuals from seven North African populations: six from Tunisia (Sousse, Smar, Kesra, Kairouan, Mehdia and Kerkennah) and one from Libya. The allelic frequencies of rs2002453 and rs2234690 were higher in the Smar population than in the other North African populations. More, the Smar population showed the lowest average heterozygosity (0.313). The principal component analysis (PCA) showed that the Smar population was clearly separated from others. Furthermore, linkage disequilibrium analysis shown a high linkage disequilibrium in the North African population and essentially in Smar population. Comparison with other world populations has shown that the heterozygosity of North African population was very close to that of the African and European populations. The PCA and the haplotypic analysis suggested the presence of an important Eurasian genetic component for the North African population. These results suggested that the Smar population was isolated from the others North Africans ones by its peculiar genetic structure because of isolation, endogamy and genetic drift. On the other hand, the North African population is characterized by a multi ancestral gene pool from Eurasia and sub-Saharan Africa due to human migration since prehistoric times.

Objectives North Africa has a complex demographic history of migrations from within Africa, Europe, and the Middle East. However, population genetic studies, especially for autosomal genetic markers, are few relative to other world regions. We examined autosomal markers for eight Tunisian and Libyan populations in order to place them in a global context. Materials and Methods Data were collected by TaqMan on 399 autosomal single nucleotide polymorphisms on 331 individuals from Tunisia and Libya. These data were combined with data on the same SNPs previously typed on 2585 individuals from 57 populations from around the world. Where meaningful, close by SNPs were combined into multiallelic haplotypes. Data were evaluated by clustering, principal components, and population tree analyses. For a subset of 102 SNPs, data from the literature on seven additional North African populations were included in analyses. Results Average heterozygosity of the North African populations is high relative to our global samples, consistent with a complex demographic history. The Tunisian and Libyan samples form a discrete cluster in the global and regional views and can be separated from sub-Sahara, Middle East, and Europe. Within Tunisia the Nebeur and Smar are outlier groups. Across North Africa, pervasive East-West geographical patterns were not found. Discussion Known historical migrations and invasions did not displace or homogenize the genetic variation in the region but rather enriched it. Even a small region like Tunisia contains considerable genetic diversity. Future studies across North Africa have the potential to increase our understanding of the historical demographic factors influencing the region. Am J Phys Anthropol, 2016. © 2016 The Authors American Journal of Physical Anthropology Published by Wiley Periodicals, Inc.

Patients with autosomal dominant vibratory urticaria have localized hives and systemic manifestations in response to dermal vibration, with coincident degranulation of mast cells and increased histamine levels in serum. We identified a previously unknown missense substitution in ADGRE2 (also known as EMR2), which was predicted to result in the replacement of cysteine with tyrosine at amino acid position 492 (p.C492Y), as the only nonsynonymous variant cosegregating with vibratory urticaria in two large kindreds. The ADGRE2 receptor undergoes autocatalytic cleavage, producing an extracellular subunit that noncovalently binds a transmembrane subunit. We showed that the variant probably destabilizes an autoinhibitory subunit interaction, sensitizing mast cells to IgE-independent vibration-induced degranulation. (Funded by the National Institutes of Health.)

The web-based application, FROG-kb (the Forensic Resource/Reference on Genetics-knowledge base, https://frog.med.yale.edu ) supports the use of Single Nucleotide Polymorphisms (SNPs) for individual identification and ancestry inference in a forensic setting. The primary functionality provided by FROG-kb on the web is computation of relative likelihoods of populations being the origin of an individual, utilizing the underlying reference population allele frequency data curated and organized in ALFRED, the ALlele FREquency Database ( https://alfred.med.yale.edu/ ). Here we present a downloadable stand-alone tool, FrogAncestryCalc that can simultaneously compute population likelihoods for multiple individuals for a selected panel of SNPs. The program calculates for a given Ancestry Inference (AI) panel the probability of each individual’s genotype profile arising in each of the reference populations. Five of the AI panels catalogued in FROG-kb are implemented in this version of FrogAncestryCalc.

The derived human alcohol dehydrogenase (ADH)1B*48His allele of the ADH1B Arg48His polymorphism (rs1229984) has been identified as one component of an East Asian specific core haplotype that underwent recent positive selection. Our study has been extended to Southwest Asia and additional markers in East Asia. Fst values (Sewall Wright’s fixation index) and long-range haplotype analyses identify a strong signature of selection not only in East Asian but also in Southwest Asian populations. However, except for the ADH2B*48His allele, different core haplotypes occur in Southwest Asia compared to East Asia and the extended haplotypes also differ. Thus, the ADH1B*48His allele, as part of a core haplotype of 10 kb, has undergone recent rapid increases in frequency independently in the two regions after divergence of the respective populations. Emergence of agriculture may be the common factor underlying the evident selection.

The Forensic Resource/Reference on Genetics-knowledge base (FROG-kb) web sitehttps://frog.med.yale.edu/FrogKB/was introduced in 2011 and in the five years since the previous publication ongoing research into how the database can better serve forensics has resulted in extensive redesign of the database interface and functionality. Originally designed as a prototype to support forensic use of single nucleotide polymorphisms (SNPs), FROG-kb provides a freely accessible web interface that facilitates forensic practice and can be useful for teaching and research. Based on knowledge gained through its use, the web interface has been redesigned for easier navigation through the multiple components. The site also has functional enhancements, extensive new documentation, and new reference panels of SNPs with new curated data. FROG-kb focuses on single nucleotide polymorphisms (SNPs) and provides reference population data for several published panels of individual identification SNPs (IISNPs) and several published panels of ancestry inference SNPs (AISNPs). For each of the various marker panels with reference population data, FROG-kb calculates random match probabilities (RMP) and relative likelihoods of ancestry for a user-entered genotype profile (either completely or partially specified). Example genotype profiles are available and the User's Manual presents interpretation guidelines for the calculations. The extensive documentation along with ongoing updates makes FROG-kb a comprehensive tool in facilitating use of SNPs in forensic practice and education. An overview of the new FROG-kb with examples and material explaining the results of its use are presented here.

SNPs that are molecularly very close (

Toll-like receptor 1, when dimerized with Toll-like receptor 2, is a cell surface receptor that, upon recognition of bacterial lipoproteins, activates the innate immune system. Variants in TLR1 associate with the risk of a variety of medical conditions and diseases, including sepsis, leprosy, tuberculosis, and others. The foremost of these is rs5743618 c.2079T>G(p.(Ile602Ser)), the derived allele of which is associated with reduced risk of sepsis, leprosy, and other diseases. Interestingly, 602Ser, which shows signatures of selection, inhibits TLR1 surface trafficking and subsequent activation of NFκB upon recognition of a ligand. This suggests that reduced TLR1 activity may be beneficial for human health. To better understand TLR1 variation and its link to human health, we have typed all 7 high-frequency missense variants (>5% in at least one population) along with 17 other variants in and around TLR1 in 2548 individuals from 56 populations from around the globe. We have also found additional signatures of selection on missense variants not associated with rs5743618, suggesting that there may be multiple functional alleles under positive selection in this gene.

Genetic data on North and Central Asian populations are underrepresented in the literature, especially for autosomal markers. In the present study we used 812 single nucleotide polymorphisms (SNPs) distributed across all the human autosomes and extensively studied at Yale to examine the affinities of two recently collected samples of populations: rural and cosmopolitan Mongolians from Ulaanbaatar and nomadic, Turkic-speaking Tsaatan from Mongolia near the Siberian border. We compare these two populations with each other and with a global set of populations and discuss their relationships to New World populations. Specifically, we analyze data on 521 autosomal loci (single SNPs and multi-SNP haplotypes) studied in 57 populations representing all the major geographical regions of the world. We conclude that these North and Central Asian populations are genetically distinct from all other populations in our study and may be close to the ancestral lineage leading to the New World populations.

Mutations in the gene OCA2 are responsible for oculocutaneous albinism type 2, but polymorphisms in and around OCA2 have also been associated with normal pigment variation. In Europeans, three haplotypes in the region have been shown to be associated with eye pigmentation and a missense SNP (rs1800407) has been associated with green/hazel eyes (Branicki et al. in Ann Hum Genet 73:160–170, 2009). In addition, a missense mutation (rs1800414) is a candidate for light skin pigmentation in East Asia (Yuasa et al. in Biochem Genet 45:535–542, 2007; Anno et al. in Int J Biol Sci 4, 2008). We have genotyped 3,432 individuals from 72 populations for 21 SNPs in the OCA2-HERC2 region including those previously associated with eye or skin pigmentation. We report that the blue-eye associated alleles at all three haplotypes were found at high frequencies in Europe; however, one is restricted to Europe and surrounding regions, while the other two are found at moderate to high frequencies throughout the world. We also observed that the derived allele of rs1800414 is essentially limited to East Asia where it is found at high frequencies. Long-range haplotype tests provide evidence of selection for the blue-eye allele at the three haplotyped systems but not for the green/hazel eye SNP allele. We also saw evidence of selection at the derived allele of rs1800414 in East Asia. Our data suggest that the haplotype restricted to Europe is the strongest marker for blue eyes globally and add further inferential evidence that the derived allele of rs1800414 is an East Asian skin pigmentation allele. Electronic supplementary material The online version of this article (doi:10.1007/s00439-011-1110-x) contains supplementary material, which is available to authorized users.

ALFRED (http://alfred.med.yale.edu) is a free, web accessible, curated compilation of allele frequency data on DNA sequence polymorphisms in anthropologically defined human populations. Currently, ALFRED has allele frequency tables on over 663 400 polymorphic sites; 170 of them have frequency tables for more than 100 different population samples. In ALFRED, a population may have multiple samples with each ‘sample’ consisting of many individuals on which an allele frequency is based. There are 3566 population samples from 710 different populations with allele frequency tables on at least one polymorphism. Fifty of those population samples have allele frequency data for over 650 000 polymorphisms. Records also have active links to relevant resources (dbSNP, PharmGKB, OMIM, Ethnologue, etc.). The flexible search options and data display and download capabilities available through the web interface allow easy access to the large quantity of high-quality data in ALFRED.

Autosomal DNA polymorphisms can pro- vide new information and understanding of both the ori- gins of and relationships among modern Native American populations. At the same time that autosomal markers can be highly informative, they are also susceptible to ascer- tainment biases in the selection of the markers to use. Identifying markers that can be used for ancestry inference among Native American populations can be considered sep- arate from identifying markers to further the quest for his- tory. In the current study, we are using data on nine Native American populations to compare the results based on a large haplotype-based dataset with relatively small inde- pendent sets of single nucleotide polymorphisms. We are interested in what types of limited datasets an individual laboratory might be able to collect are best for addressing two different questions of interest. First, how well can we differentiate the Native American populations and/or infer ancestry by assigning an individual to her population(s) of origin? Second, how well can we infer the historical/ evolutionary relationships among Native American popula- tions and their Eurasian origins? We conclude that only a large comprehensive dataset involving multiple autosomal markers on multiple populations will be able to answer both questions; different small sets of markers are able to answer only one or the other of these questions. Using our largest dataset, we see a general increasing distance from Old World populations from North to South in the New World except for an unexplained close relationship between our Maya and Quechua samples. Am J Phys Anthropol 146:495-502, 2011. V

A variant allele, ADH1B*48His, also known as ADH1B*2, at the human Alcohol Dehydrogenase 1B gene (ADH1B) is strongly associated with alcoholism in some populations and has an unusual geographic distribution. Strong evidence implies selection has increased the frequency of this allele in some East Asian populations but does not fully explain its geographic pattern. We have studied haplotypes of ten single nucleotide polymorphisms (SNPs) and two short tandem repeat polymorphisms (STRPs) in the ADH1B region in 2,206 individuals from a worldwide set of populations. These SNPs and STRPs define nine common haplogroups most of which have distinct geographic patterns. The haplogroups H5 and H6, both with the derived ADH1B*48His allele, appear restricted to the Middle East and East Asia, respectively. The positively selected H7 is derived from H6 by a new regulatory region variant defining SNP rs3811801 restricted to East Asia. Age estimates of the haplogroups based on the STRPs also agree with the time of the migration events estimated by other studies. H7 is estimated to have expanded recently, around 2,800 years ago, and ancient DNA samples from North China confirm its presence about that time. The dating of the H7 expansion may help understand the selective force on the ADH1B gene.

Objective Variation in the catechol-O-methyltransferase gene (COMT) has been associated with antisocial behavior in populations with attention deficit/hyperactivity disorder (ADHD). This study examined whether COMTwould predict antisocial behavior in a sample with high levels of behavior problems, not necessarily ADHD. In addition, because previous research suggests that COMT may be associated with ADHD in males, association between COMT and ADHD symptoms was examined. Method This study tested whether variation in three polymorphisms of the COMT gene was predictive of symptoms of conduct disorder and ADHD, in a sample of 174 incarcerated Russian adolescent male delinquents. Results The Val allele of the Val 158 Met polymorphism was significantly associated with conduct disorder diagnosis and symptoms, whereas the Met allele was associated with ADHD symptoms. Conclusion The Val 158 Met polymorphism of the COMT gene shows a complex relation to behavior problems, influencing conduct disorder and ADHD symptoms in opposite directions in a high-risk population. Psychiatr Genet 20:20–24 � c 2010 Wolters Kluwer Health | Lippincott Williams & Wilkins. Psychiatric Genetics 2010, 20:20–24

An efficient method to uniquely identify every individual would have value in quality control and sample tracking of large collections of cell lines or DNA as is now often the case with whole genome association studies. Such a method would also be useful in forensics. SNPs represent the best markers for such purposes. We have developed a globally applicable resource of 92 SNPs for individual identification (IISNPs) with extremely low probabilities of any two unrelated individuals from anywhere in the world having identical genotypes. The SNPs were identified by screening over 500 likely/candidate SNPs on samples of 44 populations representing the major regions of the world. All 92 IISNPs have an average heterozygosity >0.4 and the F st values are all

Humans have seven alcohol dehydrogenase genes ( ADH ) falling into five classes. Three out of the seven genes ( ADH1A , ADH1B and ADH1C ) belonging to Class I are expressed primarily in liver and code the main enzymes catalyzing ethanol oxidization. The three genes are tandemly arrayed within the ADH cluster on chromosome 4 and have very high nucleotide similarity to each other (exons: > 90%; introns: > 70%), suggesting the genes have been generated by duplication event(s). One explanation for maintaining similarity of such clustered genes is homogenization via gene conversion(s). Alternatively, recency of the duplications or some other functional constraints might explain the high similarities among the genes. To test for gene conversion, we sequenced introns 2, 3, and 8 of all three Class I genes (total > 15.0 kb) for five non-human primates – four great apes and one Old World Monkey (OWM) – and compared them with those of humans. The phylogenetic analysis shows each intron sequence clusters strongly within each gene, giving no evidence for gene conversion(s). Several lines of evidence indicate that the first split was between ADH1C and the gene that gave rise to ADH1A and ADH1B . We also analyzed cDNA sequences of the three genes that have been previously reported in mouse and Catarrhines (OWMs, chimpanzee, and humans) and found that the synonymous and non-synonymous substitution ( d N / d S ) ratios in all pairs are less than 1 representing purifying selection. This suggests that purifying selection is more important than gene conversion(s) in maintaining the overall sequence similarity among the Class I genes. We speculate that the highly conserved sequences on the three duplicated genes in primates have been achieved essentially by maintaining stability of the hetero-dimer formation that might have been related to dietary adaptation in primate evolution.

The alcohol dehydrogenase (ADH) family of enzymes catalyzes the reversible oxidation of alcohol to acetaldehyde. Seven ADH genes exist in a segment of ~370 kb on 4q21. Products of the three class I ADH genes that share 95% sequence identity are believed to play the major role in the first step of ethanol metabolism. Because the common belief that selection has operated at the ADH1B*47His allele in East Asian populations lacks direct biological or statistical evidence, we used genomic data to test the hypothesis. Data consisted of 54 single-nucleotide polymorphisms (SNPs) across the ADH clusters in a global sampling of 42 populations. Both the F(st) statistic and the long-range haplotype (LRH) test provided positive evidence of selection in several East Asian populations. The ADH1B Arg47His functional polymorphism has the highest F(st) of the 54 SNPs in the ADH cluster, and it is significantly above the mean F(st) of 382 presumably neutral sites tested on the same 42 population samples. The LRH test that uses cores including that site and extending on both sides also gives significant evidence of positive selection in some East Asian populations for a specific haplotype carrying the ADH1B*47His allele. Interestingly, this haplotype is present at a high frequency in only some East Asian populations, whereas the specific allele also exists in other East Asian populations and in the Near East and Europe but does not show evidence of selection with use of the LRH test. Although the ADH1B*47His allele conveys a well-confirmed protection against alcoholism, that modern phenotypic manifestation does not easily translate into a positive selective force, and the nature of that selective force, in the past and/or currently, remains speculative.

Single nucleotide polymorphisms (SNPs) are likely in the near future to have a fundamental role both in human identification and description. However, because allele frequencies can vary greatly among populations, a critical issue is the population genetics underlying calculation of the probabilities of unrelated individuals having identical multi-locus genotypes. Here we report on progress in identifying SNPs that show little allele frequency variation among a worldwide sample of 40 populations, i.e., have a low F(st), while remaining highly informative. Such markers have match probabilities that are nearly uniform irrespective of population and become candidates for a universally applicable individual identification panel applicable in forensics and paternity testing. They are also immediately useful for efficient sample identification/tagging in large biomedical, association, and epidemiologic studies. Using our previously described strategy for both identifying and characterizing such SNPs (Kidd et al. in Forensic Sci Int 164:20-32, 2006), we have now screened a total of 432 SNPs likely a priori to have high heterozygosity and low allele frequency variation and from these have selected the markers with the lowest F(st) in our set of 40 populations to produce a panel of 40 low F(st), high heterozygosity SNPs. Collectively these SNPs give average match probabilities of less than 10(-16) in most of the 40 populations and less than 10(-14) in all but one small isolated population; the range is 2.02 x 10(-17) to 1.29 x 10(-13). These 40 SNPs constitute excellent candidates for the global forensic community to consider for a universally applicable SNP panel for human identification. The relative ease with which these markers could be identified also provides a cautionary lesson for investigations of possible balancing selection.

Many ancestry informative SNP (AISNP) panels have been published. Ancestry resolution in them varies from three to eight continental clusters of populations depending on the panel used. However, none of these panels differentiates well among East Asian populations. To meet this need, we have developed a 74 AISNP panel after analyzing a much larger number of SNPs for Fst and allele frequency differences between two geographically close population groups within East Asia. The 74 AISNP panel can now distinguish at least 10 biogeographic groups of populations globally: Sub-Saharan Africa, North Africa, Europe, Southwest Asia, South Asia, North Asia, East Asia, Southeast Asia, Pacific and Americas. Compared with our previous 55-AISNP panel, Southeast Asia and North Asia are two newly assignable clusters. For individual ancestry assignment, the likelihood ratio and ancestry components were analyzed on a different set of 500 test individuals from 11 populations. All individuals from five of the test populations - Yoruba (YRI), European (CEU), Han Chinese in Henan (CHNH), Rondonian Surui (SUR) and Ticuna (TIC) - were assigned to their appropriate geographical regions unambiguously. For the other test populations, most of the individuals were assigned to their self-identified geographical regions with a certain degree of overlap with adjacent populations. These alternative ancestry components for each individual thus help give a clearer picture of the possible group origins of the individual. We have demonstrated that the new AISNP panel can achieve a deeper resolution of global ancestry.

Objective: Obsessive-compulsive disorder (OCD) and Tourette's syndrome are highly heritable neurodevelopmental disorders that are thought to share genetic risk factors. However, the identification of definitive susceptibility genes for these etiologically complex disorders remains elusive. The authors report a combined genome-wide association study (GWAS) of Tourette's syndrome and OCD.Method: The authors conducted a GWAS in 2,723 cases (1,310 with OCD, 834 with Tourette's syndrome, 579 with OCD plus Tourette's syndrome/chronic tics), 5,667 ancestry-matched controls, and 290 OCD parent-child trios. GWAS summary statistics were examined for enrichment of functional variants associated with gene expression levels in brain regions. Polygenic score analyses were conducted to investigate the genetic architecture within and across the two disorders.Results: Although no individual single-nucleotide polymorphisms (SNPs) achieved genome-wide significance, the GWAS signals were enriched for SNPs strongly associated with variations in brain gene expression levels (expression quantitative loci, or eQTLs), suggesting the presence of true functional variants that contribute to risk of these disorders Polygenic score analyses identified a significant polygenic component for OCD (p=2x10(-4)), predicting 3.2% of the phenotypic variance in an independent data set. In contrast, Tourette's syndrome had a smaller, nonsignificant polygenic component, predicting only 0.6% of the phenotypic variance (p=0.06). No significant polygenic signal was detected across the two disorders, although the sample is likely underpowered to detect a modest shared signal. Furthermore, the OCD polygenic signal was significantly attenuated when cases with both OCD and co-occurring Tourette's syndrome/chronic tics were included in the analysis (p=0.01).Conclusions: Previous work has shown that Tourette's syndrome and OCD have some degree of shared genetic variation. However, the data from this study suggest that there are also distinct components to the genetic architectures of these two disorders. Furthermore, OCD with co-occurring burette's syndrome/chronic tics may have different underlying genetic susceptibility compared with OCD alone.

Summary The catalytic deficiency of human aldehyde dehydrogenase 2 (ALDH2) is caused by a nucleotide substitution (G1510A; Glu487Lys) in exon 12 of the ALDH2 locus. This SNP, and four non-coding SNPs, including one in the promoter, span 40 kb of ALDH2; these and one downstream STRP have been tested in 37 worldwide populations. Only four major SNP-defined haplotypes account for almost all chromosomes in all populations. A fifth haplotype harbours the functional variant and is only found in East Asians. Though the SNPs showed virtually no historic recombination, LD values are quite variable because of varying haplotype frequencies, demonstrating that LD is a statistical abstraction and not a fundamental aspect of the genome, and is not a function solely of recombination. Among populations, different sets of tagging SNPs, sometimes not overlapping, can be required to identify the common haplotypes. Thus, solely because haplotype frequencies vary, there is no common minimum set of tagging SNPs globally applicable. The Fst values of the promoter region SNP and the functional SNP were about two S.D. above the mean for a reference distribution of 117 autosomal biallelic markers. These high Fst values may indicate selection has operated at these or very tightly linked sites.

We have constructed haplotypes based on normal variation at six polymorphic sites-five single nucleotide polymorphisms (SNPs) and one short tandem repeat polymorphism (STRP)-at the RET locus for samples of normal individuals from 32 populations distributed across the major continental regions of the world. The haplotyped system spans 41.6 kilobases and encompasses most of the coding region of the gene. All of the markers are polymorphic in all regions of the world and in most individual populations. Expected heterozygosities for the six-site haplotypes range from 82 to 94% for all populations studied except for two Amerindian groups from the Amazon basin at 61 and 76%. Individual populations had from four to eight haplotypes with frequencies exceeding 5%. In general, African, southwest Asian and European groups have the highest numbers of total and of commonly occurring haplotypes; the lowest numbers are observed in Amerindian populations. Overall linkage disequilibrium (LD) for the five SNP sites was very significant (P

Haplotype analysis has become increasingly important for the study of human disease as well as for reconstruction of human population histories. Computer programs have been developed to estimate haplotype frequencies statistically from marker phenotypes in unrelated individuals. However, there currently are few empirical reports on the accuracy of statistical estimates that must infer linkage phase. We have analyzed haplotypes at the CD4 locus on chromosome 12 that consist of a short tandem-repeat polymorphism and an Alu insertion/deletion polymorphism located 9.8 kb apart, in 398 individuals from 10 geographically diverse sub-Saharan African populations. Haplotype frequency estimates obtained using gene counting based on molecularly haplotyped (phase-known) data were compared with haplotype frequency estimates obtained using the expectation-maximization algorithm. We show that the estimated frequencies of common haplotypes do not differ significantly with the use of phase-known versus phase-unknown data. However, rare haplotypes are occasionally miscalled when their presence/absence must be inferred. Thus, for those research questions for which the common haplotypes are most important, frequency estimates based on the phase-unknown marker-typing results from unrelated individuals will be sufficient. However, in cases where knowledge of rare haplotypes is critical, molecular haplotyping will be necessary to determine linkage phase unambiguously.

The determination of statistical significance in genetic linkage studies is complicated by many factors, such as missing individuals or uninformative markers, and the validity of theoretical results is often questionable. Although many simulation-based methods have been proposed to determine empirically the statistical significance, they are either not generally applicable to complex pedigree structures, or not able to preserve the observed genetic information content at each locus in the pedigrees. We have developed and implemented a general and computationally efficient randomization procedure in GENEHUNTER that applies to arbitrary pedigree structure and preserves the observed information content at each locus. We applied this method to the Problem 1 data set of the Genetic Analysis Workshop 11. The performance of this new method was similar to the method implemented in GENEHUNTER-PLUS, and both outperformed the conservative approach in GENEHUNTER.

A four-site haplotype system at the dopamine D2 receptor locus (DRD2) has been studied in a global sample of 28 distinct populations. The haplotype system spans about 25 kb, encompassing the coding region of the gene. The four individual markers include three TaqI restriction site polymorphisms (RSPs) -- TaqI "A", "B", and "D" sites -- and one dinucleotide short tandem repeat polymorphism (STRP). All four of the marker systems are polymorphic in all regions of the world and in most individual populations. The haplotype system shows the highest average heterozygosity in Africa, a slightly lower average heterozygosity in Europe, and the lowest average heterozygosities in East Asia and the Americas. Across all populations, 20 of the 48 possible haplotypes reached a frequency of at least 5% in at least one population sample. However, no single population had more than six haplotypes reaching that frequency. In general, African populations had more haplotypes present in each population and more haplotypes occurring at a frequency of at least 5% in that population. Permutation tests for significance of overall disequilibrium (all sites considered simultaneously) were highly significant (P

The dopaminergic system has been implicated in alcoholism but studies at the dopamine D2 receptor gene (DRD2), one of the five dopamine receptors, have not given a consistent picture of an association with alcoholism. We have now studied the dopamine D4 receptor gene (DRD4) using six polymorphisms, both separately and as haplotypes. Three groups of alcoholics from Taiwan (Atayal, Ami, and Han) diagnosed as having severe alcohol dependence using DSM-III-R criteria, together with nonalcoholics matched for gender, ethnic group, and geographic origin, were typed by polymerase chain reaction (PCR) and/or PCR-restriction fragment length polymorphism (RFLP) for all six polymorphisms. Three out of six markers are polymorphic in all three Taiwanese populations. Although the prevalence rates of alcoholism are remarkably different, no highly significant association of this locus with alcoholism was observed in any of the three groups whether the analysis considered genotype distributions or allele frequencies at the three polymorphic markers considered individually and as haplotypes. Neither is there any obvious pattern in the data that covaries with or hints at a relationship with the very different prevalences of alcoholism in the groups studied. Especially because the powerful, multi-site haplotype analysis was not statistically significant in any of the population samples, we conclude that there is no association of the DRD4 locus with alcoholism in Taiwanese populations.

Human population genetics is a completely different science today compared to two decades ago, at least at the empiric level. Our paper [Chang (Hum Genet 98:91–101, 1996a)] demonstrated that three different alleles were common when one considered many populations although other low frequency alleles occurred. Because previous work had been largely done on European subjects, our findings involved 36 distinct populations and showed that East Asian populations had nearly lost the 7-repeat allele, and that Native American populations had the highest frequencies of that allele globally, was a significant early empiric demonstration of the potential magnitude of population variation at important genes. There are thousands of loci tested on many of the same populations and the gene frequency pattern seen for the DRD4 7-repeat allele is seen at other loci, arguing that this pattern commonly reflects the pattern of divergence of populations and accumulated random genetic drift.

Genetic factors are integral to the understanding of the etiology of antisocial behaviour, as evidenced by family and twin studies that indicate a heritability of at least 50% (Moffitt, 2005; Viding, Larsson, & Jones, 2008). Quantitative genetic studies indicate that genetic and environmental influences on the emergence of antisocial behaviour appear remarkably similar in their magnitude despite different approaches, assessment methods, age of assessment, or the gender of the participants (Rhee & Waldman, 2002; Rhee & Waldman, 2011; Lahey & Waldman, 2012). In addition, many risk factors that are traditionally thought to be environmental may also reflect genetic vulnerability (Moffitt, 2005). Over the past decade, it was widely expected that the genetic basis of common disorders would be resolved by genome-wide association studies (GWAS)--large-scale studies in which the entire genome is covered by genetic markers. Although recent GWAS have given us a clearer picture of the allelic architecture of genetic susceptibility for some pediatric-onset disorders including type I diabetes, the bulk of heritable variance remains unexplained for many pediatric-onset neuropsychiatric disorders including antisocial behaviour and substance use disorders. Information about gene function has led to the identification of a number of relevant candidate systems of genes (CSG) that influence antisocial (delinquent, criminal, and substance use) behaviours. The CSG approach provides the advantages of hypothesis-driven research, while mitigating some limitations of a candidate gene approach that usually targets only one or a small number of loci. Although a CSG approach is a viable alternative to both a candidate gene and GWAS studies, it still requires a very large number of subjects to identify allelic variations that by themselves account for a very small proportion of the phenotypic variance (Maher et al., 2011; Grigorenko et al., 2010; Yrigollen et al., 2008; Greenwood et al., 2011). While CSG studies examine related families of genes, the analytical approach often focuses on only one allelic variant at a time. Several studies have demonstrated that multiple measurements of genes are needed to fully realize the association between the variance in genes to phenotypic variation (Burt & Mikolajewski, 2008; Grigorenko et al, 2010). Thus, whereas positive CSG studies allow inferences to be made concerning the probable presence of gene-gene interactions, they do not permit an accurate estimation of the phenotypic variance explained since the variance accounted for by gene-gene interactions is unlikely to be simply additive. Indeed, very few approaches, if any, are currently available to assess systematically the presence of a ‘shared’ variance across genetic risk alleles with regard to a particular phenotype of interest. The application of a latent variable approach to genetic data should facilitate the identification of allelic variants that collectively contribute to particular phenotypic outcome. This approach has been widely used in economics and psychology to study observable behavior that may be influenced by unobservable constructs that are not directly measurable (Avery, 1979; Bollen, 2002). A clear advantage of using a latent variable analysis is that it reduces the dimensionality of data so that a large number of observable variables can be aggregated in a model to represent a single underlying factor when there are strong relationships among variables. The application of latent variable analyses to genetic data is novel. Because observed variables that have no correlation cannot result in a latent construct, the identification of a latent genetic construct provides a potential path to discover a ‘shared’ variance across genetic risk alleles. This shared variance could be additive, multiplicative or interactive. However, this latent variable approach is limited by its inability to specify the biological nature of the gene-gene interactions that underlie this shared variance. Consequently, we have chosen to refer to the “co-action” of allelic variants (additive, multiplicative, and other) in describing our findings. The choice of the genetic loci to be assessed is critically important. Several studies have reported associations between antisocial behaviour and drug use and genetic variants associated with dopaminergic and serotoninergic pathways (Chambers et al., 2001; Bierut et al., 2002; Solanto, 2002; Kim-Cohen et al., 2006; Moffitt, 2005; Blum et al., 2012; McCrory et al., 2012; Moul et al., 2013). We also selected genes associated with affiliative behaviors and stress response. The rationale for including in the CSG genetic loci implicated in affiliative behaviours is based, in part, on studies that report strong associations between inconsistent, harsh, or abusive disciplinary practices by parents and child rule-breaking behaviours, delinquency, and aggression (Stouthamer-Loeber et al., 2001; Stanger et al., 2004). Childhood conduct problems have also been associated with a lack of parental involvement, a lack of parental warmth and parent–child conflict (Burt et al., 2005; Caspi et al., 2004; Stanger et al., 2004). Dopaminergic pathways are also critically involved in affiliative (e.g., maternal care) and other reward-related behaviours (Depue & Collins, 1999; Mileva-Seitz et al., 2012). The rationale for including in the CSG genetic loci implicated in stress response is based on studies that have reported an association between cortisol levels and aggression in adolescents (Gao et al., 2009; Poustka et al., 2010; Matthys et al., 2013). In addition, the neural substrates of affiliation (parenting behaviours) are closely interrelated to the stress response, salience, and reward pathways (Leckman & Herman, 2002; Lim & Young, 2006; Gordon et al., 2011). The goals of this preliminary study were: (1) to construct a latent phenotypic antisocial variable using all, or a subset, of 15 indicators of delinquency, antisocial behaviour and drug use collected as part of the 15 year follow-up of a randomized trial of a prenatal and infancy nurse-home visitation program in Elmira, New York (Olds et al., 1998); (2) to define a novel CSG that includes genetic loci that have been implicated in affiliative behaviours and stress response as delinquency and drug use; (3) to carry out initial univariate analyses of each of the informative single nucleotide polymorphisms (SNPs) within the CSG; (4) to perform a quasi-bootstrapping procedure to construct an initial latent genetic variable; (5) to refine and extend the latent genetic variable by reassessing each of the remaining informative SNPs one at a time leading to a final model where both latent genetic and phenotypic variables are incorporated simultaneously; (6) to determine if there is a continuous relationship between the number of risk alleles and scores from the latent antisocial variable; and (7) to identify biological pathways and processes that are over-represented by all of the genes in the CSG that were implicated in this analysis. A flow chart of these steps and procedures is presented in Figure 1. Figure 1 Flow Chart

The direct estimation of heritability from genome-wide common variant data as implemented in the program Genome-wide Complex Trait Analysis (GCTA) has provided a means to quantify heritability attributable to all interrogated variants. We have quantified the variance in liability to disease explained by all SNPs for two phenotypically-related neurobehavioral disorders, obsessive-compulsive disorder (OCD) and Tourette Syndrome (TS), using GCTA. Our analysis yielded a heritability point estimate of 0.58 (se = 0.09, p = 5.64e-12) for TS, and 0.37 (se = 0.07, p = 1.5e-07) for OCD. In addition, we conducted multiple genomic partitioning analyses to identify genomic elements that concentrate this heritability. We examined genomic architectures of TS and OCD by chromosome, MAF bin, and functional annotations. In addition, we assessed heritability for early onset and adult onset OCD. Among other notable results, we found that SNPs with a minor allele frequency of less than 5% accounted for 21% of the TS heritability and 0% of the OCD heritability. Additionally, we identified a significant contribution to TS and OCD heritability by variants significantly associated with gene expression in two regions of the brain (parietal cortex and cerebellum) for which we had available expression quantitative trait loci (eQTLs). Finally we analyzed the genetic correlation between TS and OCD, revealing a genetic correlation of 0.41 (se = 0.15, p = 0.002). These results are very close to previous heritability estimates for TS and OCD based on twin and family studies, suggesting that very little, if any, heritability is truly missing (i.e., unassayed) from TS and OCD GWAS studies of common variation. The results also indicate that there is some genetic overlap between these two phenotypically-related neuropsychiatric disorders, but suggest that the two disorders have distinct genetic architectures., Author Summary Family and twin studies have shown that genetic risk factors are important in the development of Tourette Syndrome (TS) and obsessive compulsive disorder (OCD). However, efforts to identify the individual genetic risk factors involved in these two neuropsychiatric disorders have been largely unsuccessful. One possible explanation for this is that many genetic variations scattered throughout the genome each contribute a small amount to the overall risk. For TS and OCD, the genetic architecture (characterized by the number, frequency, and distribution of genetic risk factors) is presently unknown. This study examined the genetic architecture of TS and OCD in a variety of ways. We found that rare genetic changes account for more genetic risk in TS than in OCD; certain chromosomes contribute to OCD risk more than others; and variants that influence the level of genes expressed in two regions of the brain can account for a significant amount of risk for both TS and OCD. Results from this study might help in determining where, and what kind of variants are individual risk factors for TS and OCD and where they might be located in the human genome.

In this paper we describe PhenoDB, an Internet-accessible client/server database application for population and linkage genetics. PhenoDB stores genetic marker data on pedigrees and populations. A database for population and linkage genetics requires two core functions: data management tasks, such as interactive validation during data entry and editing, and data analysis tasks, such as generating summary population statistics and performing linkage analyses. In PhenoDB we attempt to make these tasks as easy as possible. The client/server architecture allows efficient management and manipulation of large datasets via an easy-to-use graphical interface. PhenoDB data (73 populations, 34 pedigrees, approximately 4200 individuals, and close to 80,000 typings) are stored in a generic format that can be readily exported to (or imported from) the file formats required by various existing analysis programs such as LIPED and Lathrop and Lalouel's Multipoint Linkage. PhenoDB allows performance of complex ad-hoc queries and can generate reports for use in project management. Finally, PhenoDB can produce statistical summaries such as allele frequencies, phenotype frequencies, and Chi-square tests of Hardy-Weinberg ratios of population/pedigree data.

This study examined whether there is evidence for an association between alcoholism and the alleles of the TaqI A, TaqI B, and short tandem repeat polymorphisms (STRP), both individually and as haplotypes, at the dopamine D2 receptor gene (DRD2) in males of three populations from Taiwan. We studied 46 Chinese Han (21 alcoholics and 25 nonalcoholics), 42 Atayal (21 alcoholics and 21 nonalcoholics), and 40 Ami (20 alcoholics and 20 nonalcoholics). Alcoholism was diagnosed according to DSM-III-R criteria and all individuals in the alcoholic groups were severely affected. Significant linkage disequilibrium occurs for the three polymorphic sites in all three populations. No significant association was observed between any of the three polymorphisms at the DRD2 locus, tested individually and as haplotypes, and alcoholism in the three subject groups. We conclude that no association exists between genetic variation at the DRD2 locus and alcoholism in Chinese Han, Atayal, and Ami males.