Human Genetics (HUM GENET )

Publisher: Springer Verlag

Description

Human Genetics is a monthly journal publishing original and timely articles on all aspects of human genetics. The Journal welcomes articles in the areas of Gene structure and organization Gene expression Mutation detection and analysis Linkage analysis and genetic mapping Physical mapping Cytogenetics and Genomic Imaging Genome structure and organisation Disease association studies Molecular diagnostics Genetic epidemiology Evolutionary genetics Developmental genetics Genotype-phenotype relationships Molecular genetics of tumorigenesis Genetics of complex diseases and epistatic interactions and Bioinformatics. Articles reporting animal models relevant to human biology or disease are also welcome. Preference will be given to those articles which address clinically relevant questions or which provide new insights into human biology. Unless they report entirely novel and unusual aspects of a topic clinical case reports cytogenetic case reports papers on descriptive population genetics articles dealing with the frequency of polymorphisms or additional mutations within genes in which numerous lesions have already been described will normally not be accepted. The Journal will not normally consider for publication manuscripts that report merely the isolation map position structure and tissue expression profile of a gene of unknown function unless the gene is of unusual interest or is a candidate gene involved in a human trait or disorder. Data on novel pathological mutations may be submitted to Human Genetics Online the electronic mutation data submission system administered by Springer-Verlag (

  • Impact factor
    4.63
    Show impact factor history
     
    Impact factor
  • 5-year impact
    4.49
  • Cited half-life
    9.20
  • Immediacy index
    1.27
  • Eigenfactor
    0.02
  • Article influence
    1.81
  • Website
    Human Genetics website
  • Other titles
    Human genetics (Online), Hum genet
  • ISSN
    0340-6717
  • OCLC
    41232248
  • Material type
    Document, Periodical, Internet resource
  • Document type
    Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Springer Verlag

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Authors own final version only can be archived
    • Publisher's version/PDF cannot be used
    • On author's website or institutional repository
    • On funders designated website/repository after 12 months at the funders request or as a result of legal obligation
    • Published source must be acknowledged
    • Must link to publisher version
    • Set phrase to accompany link to published version (The original publication is available at www.springerlink.com)
    • Articles in some journals can be made Open Access on payment of additional charge
  • Classification
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Our recent genome-wide association study (GWAS) had discovered a new locus at 8p23 (rs2738048) associated with IgA nephropathy (IgAN) in Chinese Han patients, implicating the DEFA gene family within this locus as susceptibility genes. However, it is still unknown whether there are additional variations within these genes associated with the disease susceptibility. The aim of this study is to investigate the polymorphisms of DEFA genes in the susceptibility to IgAN and explore possible disease mechanisms. Sixteen tag single-nucleotide polymorphisms (tag SNPs) were selected for association study in 1,000 IgAN cases and 1,000 controls by using Sequenom MassArray system or TaqMan SNP genotyping assays. We found seven SNPs within DEFA genes that were significantly associated with IgAN, including rs2738048 discovered in our previous GWAS (p = 0.0007, OR = 0.77) and additional 6 SNPs (rs2615787, p = 0.0001, OR = 0.74; rs2738081, p = 0.0003, OR = 0.72; rs2738058, p = 0.0001, OR = 0.73; rs4288398, p = 0.0008, OR = 0.78; rs6984215, p = 0.002, OR = 0.63; rs12716641, p = 0.00002, OR = 0.71). Electrophoretic mobility shift assays and luciferase assays demonstrated that fragments containing rs2738048, rs2738081 and rs6984215 were transcription factor binding sites for CTF, SP1 and CdxA, respectively, and the allele status of rs2738048 and rs6984215 could significantly change the luciferase activity. These results suggest that polymorphisms within DEFA genes are involved in gene transcriptional regulation, and this may have some effect in mediating susceptibility to IgAN in southern Chinese.
    Human Genetics 07/2014;
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    ABSTRACT: Chordoma is a rare bone cancer that is believed to originate from notochordal remnants. We previously identified germline T duplication as a major susceptibility mechanism in several chordoma families. Recently, a common genetic variant in T (rs2305089) was significantly associated with the risk of sporadic chordoma. We sequenced all T exons in 24 familial cases and 54 unaffected family members from eight chordoma families (three with T duplications), 103 sporadic cases, and 160 unrelated controls. We also measured T copy number variation in all sporadic cases. We confirmed the association between the previously reported variant rs2305089 and risk of familial [odds ratio (OR) = 2.6, 95 % confidence interval (CI) = 0.93, 7.25, P = 0.067] and sporadic chordoma (OR = 2.85, 95 % CI = 1.89, 4.29, P < 0.0001). We also identified a second common variant, rs1056048, that was strongly associated with chordoma in families (OR = 4.14, 95 % CI = 1.43, 11.92, P = 0.0086). Among sporadic cases, another common variant (rs3816300) was significantly associated with risk when jointly analyzed with rs2305089. The association with rs3816300 was significantly stronger in cases with early age onset. In addition, we identified three rare variants that were only observed among sporadic chordoma cases, all of which have potential functional relevance based on in silico predictions. Finally, we did not observe T duplication in any sporadic chordoma case. Our findings further highlight the importance of the T gene in the pathogenesis of both familial and sporadic chordoma and suggest a complex susceptibility related to T.
    Human Genetics 07/2014;
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    ABSTRACT: Indian demographic history includes special features such as founder effects, interpopulation segregation, complex social structure with a caste system and elevated frequency of consanguineous marriages. It also presents a higher frequency for some rare mendelian disorders and in the last two decades increased prevalence of some complex disorders. Despite the fact that India represents about one-sixth of the human population, deep genetic studies from this terrain have been scarce. In this study, we analyzed high-density genotyping and whole-exome sequencing data of a North and a South Indian population. Indian populations show higher differentiation levels than those reported between populations of other continents. In this work, we have analyzed its consequences, by specifically assessing the transferability of genetic markers from or to Indian populations. We show that there is limited genetic marker portability from available genetic resources such as HapMap or the 1,000 Genomes Project to Indian populations, which also present an excess of private rare variants. Conversely, tagSNPs show a high level of portability between the two Indian populations, in contrast to the common belief that North and South Indian populations are genetically very different. By estimating kinship from mates and consanguinity in our data from trios, we also describe different patterns of assortative mating and inbreeding in the two populations, in agreement with distinct mating preferences and social structures. In addition, this analysis has allowed us to describe genomic regions under recent adaptive selection, indicating differential adaptive histories for North and South Indian populations. Our findings highlight the importance of considering demography for design and analysis of genetic studies, as well as the need for extending human genetic variation catalogs to new populations and particularly to those with particular demographic histories.
    Human Genetics 07/2014;
  • [Show abstract] [Hide abstract]
    ABSTRACT: The continuous advancement in genotyping technology has not been accompanied by the application of innovative statistical methods, such as multi-marker methods (MMM), to unravel genetic associations with complex traits. Although the performance of MMM has been widely explored in a prediction context, little is known on their behavior in the quantitative trait loci (QTL) detection under complex genetic architectures. We shed light on this still open question by applying Bayes A (BA) and Bayesian LASSO (BL) to simulated and real data. Both methods were compared to the single marker regression (SMR). Simulated data were generated in the context of six scenarios differing on effect size, minor allele frequency (MAF) and linkage disequilibrium (LD) between QTLs. These were based on real SNP genotypes in chromosome 21 from the Spanish Bladder Cancer Study. We show how the genetic architecture dramatically affects the behavior of the methods in terms of power, type I error and accuracy of estimates. Markers with high MAF are easier to detect by all methods, especially if they have a large effect on the phenotypic trait. A high LD between QTLs with either large or small effects differently affects the power of the methods: it impairs QTL detection with BA, irrespectively of the effect size, although boosts that of small effects with BL and SMR. We demonstrate the convenience of applying MMM rather than SMR because of their larger power and smaller type I error. Results from real data when applying MMM suggest novel associations not detected by SMR.
    Human Genetics 06/2014;
  • [Show abstract] [Hide abstract]
    ABSTRACT: Variability in the susceptibility to infectious disease and its clinical manifestation can be determined by variation in the environment and by genetic variation in the pathogen and the host. Despite several successes based on candidate gene studies, defining the host variation affecting infectious disease has not been as successful as for other multifactorial diseases. Both single nucleotide variation and copy number variation (CNV) of the host contribute to the host's susceptibility to infectious disease. In this review we focus on CNV, particularly on complex multiallelic CNV that is often not well characterised either directly by hybridisation methods or indirectly by analysis of genotypes and flanking single nucleotide variants. We summarise the well-known examples, such as α-globin deletion and susceptibility to severe malaria, as well as more recent controversies, such as the extensive CNV of the chemokine gene CCL3L1 and HIV infection. We discuss the potential biological mechanisms that could underly any genetic association and reflect on the extensive complexity and functional variation generated by a combination of CNV and sequence variation, as illustrated by the Fc gamma receptor genes FCGR3A, FCGR3B and FCGR2C. We also highlight some understudied areas that might prove fruitful areas for further research.
    Human Genetics 06/2014;
  • [Show abstract] [Hide abstract]
    ABSTRACT: Interaction of DNA methylation and sequence variants that are methylation quantitative trait loci (mQTLs) may influence susceptibility to diseases such as alcohol dependence (AD). We used genome-wide genotype data from 268 African Americans (AAs: 129 AD cases and 139 controls) and 143 European Americans (EAs: 129 AD cases and 14 controls) to identify mQTLs that were associated with promoter CpGs in 82 AD risk genes. 282 significant mQTL–CpG pairs (9.9 × 10−100 ≤ P nominal ≤ 7.7 × 10−8) in AAs and 313 significant mQTL–CpG pairs (2.7 × 10−53 ≤ P nominal ≤ 9.9 × 10−8) in EAs were identified [i.e., mQTL–CpG associations survived multiple-testing correction, q values (false discovery rate) ≤ 0.05]. The most significant mQTL was rs1800759, which was strongly associated with CpG cg12011299 in both AAs (P nominal = 9.9 × 10−100; q = 6.7 × 10−91) and EAs (P nominal = 2.7 × 10−53; q = 1.4 × 10−44). Rs1800759 (previously known to be associated to AD) and CpG cg12011299 (distance: 37 bp) are both located in alcohol dehydrogenase (ADH) 4 gene (ADH4) promoter region. In general, the strength of association between mQTLs and CpGs was inversely correlated with the distance between them. Association was also influenced by race and AD. Additionally, 48.3 % of the mQTLs identified in AAs and 65.6 % of the mQTLs identified in EAs were predicted to be expression QTLs. Three mQTLs (rs2173201, rs4147542, and rs4147541 in ADH1B-AHD1C gene cluster region) found in AAs were previously identified by our genome-wide association studies as being significantly associated with AD in AAs. Thus, DNA methylation, which can be influenced by sequence variants and is implicated in gene expression regulation, appears to at least partially underlie the association of genetic variation with AD.
    Human Genetics 06/2014;
  • Human Genetics 06/2014; 133(6).
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    ABSTRACT: GDF5 encodes an extracellular signalling molecule that is essential for normal skeletal development. The rs144383 C to T SNP located in the 5'UTR of this gene is functional and has a pleiotropic effect on the musculoskeletal system, being a risk factor for knee-osteoarthritis (OA), congenital hip dysplasia, lumbar disc degeneration and Achilles tendon pathology. rs143383 exerts a joint-wide effect on GDF5 expression, with expression of the OA-associated T allele being significantly reduced relative to the C allele, termed allelic expression imbalance. We have previously reported that the GDF5 locus is subject to DNA methylation and that allelic imbalance of rs143383 is mediated by SP1, SP3 and DEAF1 transcriptional repressors. In this study, we have assayed GDF5 methylation in normal and osteoarthritic cartilage, and investigated the effect of methylation on the allelic imbalance of rs143383. We observed demethylation of the GDF5 5'UTR in OA knee cartilage relative to both OA (p = 0.009) and non-OA (p = 0.001) hip cartilage, with the most significant demethylation observed at the highly conserved +37 CpG site located 4 bp upstream of rs143383. Methylation modulates the level and direction of allelic imbalance of rs143383, with methylation of the +37 CpG dinucleotide within the SP1/SP3 binding site having an allele-specific effect on SP1 and SP3 binding. Furthermore, methylation attenuated the repressive effects of SP1, SP3 and DEAF1 on GDF5 promoter activity. This data suggest that the differential methylation of the +37 CpG site between osteoarthritic hip and knee cartilage may be responsible for the knee-specific effect of rs143383 on OA susceptibility.
    Human Genetics 05/2014;
  • Human Genetics 03/2014; 133(3).
  • Human Genetics 01/2014; 133(3).
  • Human Genetics 01/2013; In press.

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