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Dive into the research topics where Sonja W. Scholz is active.

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Featured researches published by Sonja W. Scholz.


Neuron | 2011

A hexanucleotide repeat expansion in C9ORF72 is the cause of chromosome 9p21-linked ALS-FTD

Alan E. Renton; Elisa Majounie; Adrian James Waite; Javier Simón-Sánchez; Sara Rollinson; J. Raphael Gibbs; Jennifer C. Schymick; Hannu Laaksovirta; John C. van Swieten; Liisa Myllykangas; Hannu Kalimo; Anders Paetau; Yevgeniya Abramzon; Anne M. Remes; Alice Kaganovich; Sonja W. Scholz; Jamie Duckworth; Jinhui Ding; Daniel W. Harmer; Dena Hernandez; Janel O. Johnson; Kin Mok; Mina Ryten; Danyah Trabzuni; Rita Guerreiro; Richard W. Orrell; James Neal; Alexandra Murray; Justin Peter Pearson; Iris E. Jansen

The chromosome 9p21 amyotrophic lateral sclerosis-frontotemporal dementia (ALS-FTD) locus contains one of the last major unidentified autosomal-dominant genes underlying these common neurodegenerative diseases. We have previously shown that a founder haplotype, covering the MOBKL2b, IFNK, and C9ORF72 genes, is present in the majority of cases linked to this region. Here we show that there is a large hexanucleotide (GGGGCC) repeat expansion in the first intron of C9ORF72 on the affected haplotype. This repeat expansion segregates perfectly with disease in the Finnish population, underlying 46.0% of familial ALS and 21.1% of sporadic ALS in that population. Taken together with the D90A SOD1 mutation, 87% of familial ALS in Finland is now explained by a simple monogenic cause. The repeat expansion is also present in one-third of familial ALS cases of outbred European descent, making it the most common genetic cause of these fatal neurodegenerative diseases identified to date.


Nature Genetics | 2009

Genome-wide association study reveals genetic risk underlying Parkinson's disease

Javier Simón-Sánchez; Claudia Schulte; Jose Bras; Manu Sharma; J. Raphael Gibbs; Daniela Berg; Coro Paisán-Ruiz; Peter Lichtner; Sonja W. Scholz; Dena Hernandez; Rejko Krüger; Monica Federoff; Christine Klein; Alison Goate; Joel S. Perlmutter; Michael Bonin; Michael A. Nalls; Thomas Illig; Christian Gieger; Henry Houlden; Michael Steffens; Michael S. Okun; Brad A. Racette; Mark R. Cookson; Kelly D. Foote; Hubert H. Fernandez; Bryan J. Traynor; Stefan Schreiber; Sampath Arepalli; Ryan Zonozi

We performed a genome-wide association study (GWAS) in 1,713 individuals of European ancestry with Parkinsons disease (PD) and 3,978 controls. After replication in 3,361 cases and 4,573 controls, we observed two strong association signals, one in the gene encoding α-synuclein (SNCA; rs2736990, OR = 1.23, P = 2.24 × 10−16) and another at the MAPT locus (rs393152, OR = 0.77, P = 1.95 × 10−16). We exchanged data with colleagues performing a GWAS in Japanese PD cases. Association to PD at SNCA was replicated in the Japanese GWAS, confirming this as a major risk locus across populations. We replicated the effect of a new locus detected in the Japanese cohort (PARK16, rs823128, OR = 0.66, P = 7.29 × 10−8) and provide supporting evidence that common variation around LRRK2 modulates risk for PD (rs1491923, OR = 1.14, P = 1.55 × 10−5). These data demonstrate an unequivocal role for common genetic variants in the etiology of typical PD and suggest population-specific genetic heterogeneity in this disease.


Nature | 2008

Genotype, haplotype and copy-number variation in worldwide human populations

Mattias Jakobsson; Sonja W. Scholz; Paul Scheet; J. Raphael Gibbs; Jenna M. VanLiere; Hon Chung Fung; Zachary A. Szpiech; James H. Degnan; Kai Wang; Rita Guerreiro; Jose Bras; Jennifer C. Schymick; Dena Hernandez; Bryan J. Traynor; Javier Simón-Sánchez; Mar Matarin; Angela Britton; Joyce van de Leemput; Ian Rafferty; Maja Bucan; Howard M. Cann; John Hardy; Noah A. Rosenberg; Andrew Singleton

Genome-wide patterns of variation across individuals provide a powerful source of data for uncovering the history of migration, range expansion, and adaptation of the human species. However, high-resolution surveys of variation in genotype, haplotype and copy number have generally focused on a small number of population groups. Here we report the analysis of high-quality genotypes at 525,910 single-nucleotide polymorphisms (SNPs) and 396 copy-number-variable loci in a worldwide sample of 29 populations. Analysis of SNP genotypes yields strongly supported fine-scale inferences about population structure. Increasing linkage disequilibrium is observed with increasing geographic distance from Africa, as expected under a serial founder effect for the out-of-Africa spread of human populations. New approaches for haplotype analysis produce inferences about population structure that complement results based on unphased SNPs. Despite a difference from SNPs in the frequency spectrum of the copy-number variants (CNVs) detected—including a comparatively large number of CNVs in previously unexamined populations from Oceania and the Americas—the global distribution of CNVs largely accords with population structure analyses for SNP data sets of similar size. Our results produce new inferences about inter-population variation, support the utility of CNVs in human population-genetic research, and serve as a genomic resource for human-genetic studies in diverse worldwide populations.


Lancet Neurology | 2006

Genome-wide genotyping in Parkinson's disease and neurologically normal controls: first stage analysis and public release of data

Hon-Chung Fung; Sonja W. Scholz; Mar Matarin; Javier Simón-Sánchez; Dena Hernandez; Angela Britton; J. Raphael Gibbs; Carl D. Langefeld; Matt L Stiegert; Jennifer C. Schymick; Michael S. Okun; Ronald J. Mandel; Hubert H. Fernandez; Kelly D. Foote; Ramon L. Rodriguez; Elizabeth Peckham; Fabienne Wavrant-De Vrièze; Katrina Gwinn-Hardy; John Hardy; Andrew Singleton

BACKGROUND Several genes underlying rare monogenic forms of Parkinsons disease have been identified over the past decade. Despite evidence for a role for genetics in sporadic Parkinsons disease, few common genetic variants have been unequivocally linked to this disorder. We sought to identify any common genetic variability exerting a large effect in risk for Parkinsons disease in a population cohort and to produce publicly available genome-wide genotype data that can be openly mined by interested researchers and readily augmented by genotyping of additional repository subjects. METHODS We did genome-wide, single-nucleotide-polymorphism (SNP) genotyping of publicly available samples from a cohort of Parkinsons disease patients (n=267) and neurologically normal controls (n=270). More than 408,000 unique SNPs were used from the Illumina Infinium I and HumanHap300 assays. FINDINGS We have produced around 220 million genotypes in 537 participants. This raw genotype data has been and as such is the first publicly accessible high-density SNP data outside of the International HapMap Project. We also provide here the results of genotype and allele association tests. INTERPRETATION We generated publicly available genotype data for Parkinsons disease patients and controls so that these data can be mined and augmented by other researchers to identify common genetic variability that results in minor and moderate risk for disease.


PLOS Genetics | 2008

A genome-wide association study identifies protein quantitative trait loci (pQTLs)

David Melzer; John Perry; Dena Hernandez; Annamaria Corsi; K Stevens; Ian Rafferty; F. Lauretani; Anna Murray; J. Raphael Gibbs; Giuseppe Paolisso; Sajjad Rafiq; Javier Simón-Sánchez; Hana Lango; Sonja W. Scholz; Michael N. Weedon; Sampath Arepalli; Neil Rice; Nicole Washecka; Alison J. Hurst; Angela Britton; William Henley; Joyce van de Leemput; Rongling Li; Anne B. Newman; Greg Tranah; Tamara B. Harris; Vijay Panicker; Colin Mark Dayan; Amanda J. Bennett; Mark I. McCarthy

There is considerable evidence that human genetic variation influences gene expression. Genome-wide studies have revealed that mRNA levels are associated with genetic variation in or close to the gene coding for those mRNA transcripts – cis effects, and elsewhere in the genome – trans effects. The role of genetic variation in determining protein levels has not been systematically assessed. Using a genome-wide association approach we show that common genetic variation influences levels of clinically relevant proteins in human serum and plasma. We evaluated the role of 496,032 polymorphisms on levels of 42 proteins measured in 1200 fasting individuals from the population based InCHIANTI study. Proteins included insulin, several interleukins, adipokines, chemokines, and liver function markers that are implicated in many common diseases including metabolic, inflammatory, and infectious conditions. We identified eight Cis effects, including variants in or near the IL6R (p = 1.8×10−57), CCL4L1 (p = 3.9×10−21), IL18 (p = 6.8×10−13), LPA (p = 4.4×10−10), GGT1 (p = 1.5×10−7), SHBG (p = 3.1×10−7), CRP (p = 6.4×10−6) and IL1RN (p = 7.3×10−6) genes, all associated with their respective protein products with effect sizes ranging from 0.19 to 0.69 standard deviations per allele. Mechanisms implicated include altered rates of cleavage of bound to unbound soluble receptor (IL6R), altered secretion rates of different sized proteins (LPA), variation in gene copy number (CCL4L1) and altered transcription (GGT1). We identified one novel trans effect that was an association between ABO blood group and tumour necrosis factor alpha (TNF-alpha) levels (p = 6.8×10−40), but this finding was not present when TNF-alpha was measured using a different assay , or in a second study, suggesting an assay-specific association. Our results show that protein levels share some of the features of the genetics of gene expression. These include the presence of strong genetic effects in cis locations. The identification of protein quantitative trait loci (pQTLs) may be a powerful complementary method of improving our understanding of disease pathways.


Lancet Neurology | 2010

Chromosome 9p21 in amyotrophic lateral sclerosis in Finland: a genome-wide association study

Hannu Laaksovirta; Terhi Peuralinna; Jennifer C. Schymick; Sonja W. Scholz; Shaoi-Lin Lai; Liisa Myllykangas; Raimo Sulkava; Lilja Jansson; Dena Hernandez; J. Raphael Gibbs; Michael A. Nalls; David Heckerman; Pentti J. Tienari; Bryan J. Traynor

BACKGROUND The genetic cause of amyotrophic lateral sclerosis (ALS) is not well understood. Finland is a well suited location for a genome-wide association study of ALS because the incidence of the disease is one of the highest in the world, and because the genetic homogeneity of the Finnish population enhances the ability to detect risk loci. We aimed to identify genetic risk factors for ALS in the Finnish population. METHODS We did a genome-wide association study of Finnish patients with ALS and control individuals by use of Illumina genome-wide genotyping arrays. DNA was collected from patients who attended an ALS specialty clinic that receives referrals from neurologists throughout Finland. Control samples were from a population-based study of elderly Finnish individuals. Patients known to carry D90A alleles of the SOD1 gene (n=40) were included in the final analysis as positive controls to assess whether our genome-wide association study was able to detect an association signal at this locus. FINDINGS We obtained samples from 442 patients with ALS and 521 control individuals. After quality control filters were applied, 318 167 single nucleotide polymorphisms (SNPs) from 405 people with ALS and 497 control individuals were available for analysis. We identified two association peaks that exceeded genome-wide significance. One was located on chromosome 21q22 (rs13048019, p=2·58×10(-8)), which corresponds to the autosomal recessive D90A allele of the SOD1 gene. The other was detected in a 232 kb block of linkage disequilibrium (rs3849942, p=9·11×10(-11)) in a region of chromosome 9p that was previously identified in linkage studies of families with ALS. Within this region, we defined a 42-SNP haplotype that was associated with significantly increased risk of ALS (p=7·47×10(-33) when people with familial ALS were compared with controls, odds ratio 21·0, 95% CI 11·2-39·1) and which overlapped with an association locus recently reported for frontotemporal dementia. For the 93 patients with familial ALS, the population attributable risk for the chromosome 9p21 locus was 37·9% (95% CI 27·7-48·1) and that for D90A homozygosity was 25·5% (16·9-34·1). INTERPRETATION The chromosome 9p21 locus is a major cause of familial ALS in the Finnish population. Our data suggest the presence of a founder mutation for chromosome 9p21-linked ALS. Furthermore, the overlap with the risk haplotype recently reported for frontotemporal dementia provides further evidence of a shared genetic cause for these two neurodegenerative diseases. FUNDING National Institutes of Health and National Institute on Aging, Microsoft Research, ALS Association, Helsinki University Central Hospital, Finnish Academy, Finnish Medical Society Duodecim, and Kuopio University.


Annals of Neurology | 2009

SNCA Variants Are Associated with Increased Risk for Multiple System Atrophy

Sonja W. Scholz; Henry Houlden; Claudia Schulte; Manu Sharma; Abi Li; Daniela Berg; Anna Melchers; Reema Paudel; J. Raphael Gibbs; Javier Simón-Sánchez; C Paisan-Ruiz; Jose Bras; Jinhui Ding; Honglei Chen; Bryan J. Traynor; Sampath Arepalli; Ryan Zonozi; Tamas Revesz; Janice L. Holton; Nicholas W. Wood; Andrew J. Lees; Wolfgang H. Oertel; Ullrich Wüllner; Stefano Goldwurm; Maria Teresa Pellecchia; Thomas Illig; Olaf Riess; Hubert H. Fernandez; Ramon L. Rodriguez; Michael S. Okun

To test whether the synucleinopathies Parkinsons disease and multiple system atrophy (MSA) share a common genetic etiology, we performed a candidate single nucleotide polymorphism (SNP) association study of the 384 most associated SNPs in a genome‐wide association study of Parkinsons disease in 413 MSA cases and 3,974 control subjects. The 10 most significant SNPs were then replicated in additional 108 MSA cases and 537 controls. SNPs at the SNCA locus were significantly associated with risk for increased risk for the development of MSA (combined p = 5.5 × 1012; odds ratio 6.2). Ann Neurol 2009;65:610–614


PLOS Genetics | 2007

Deletion at ITPR1 underlies ataxia in mice and spinocerebellar ataxia 15 in humans.

Joyce van de Leemput; Jayanth Chandran; Melanie A. Knight; Lynne A. Holtzclaw; Sonja W. Scholz; Mark R. Cookson; Henry Houlden; Katrina Gwinn-Hardy; Hon Chung Fung; Xian Lin; Dena Hernandez; Javier Simón-Sánchez; Nicholas W. Wood; Paola Giunti; Ian Rafferty; John Hardy; Elsdon Storey; R.J. McKinlay Gardner; Susan M. Forrest; Elizabeth M. C. Fisher; James T. Russell; Huaibin Cai; Andrew Singleton

We observed a severe autosomal recessive movement disorder in mice used within our laboratory. We pursued a series of experiments to define the genetic lesion underlying this disorder and to identify a cognate disease in humans with mutation at the same locus. Through linkage and sequence analysis we show here that this disorder is caused by a homozygous in-frame 18-bp deletion in Itpr1 (Itpr1Δ18/Δ18), encoding inositol 1,4,5-triphosphate receptor 1. A previously reported spontaneous Itpr1 mutation in mice causes a phenotype identical to that observed here. In both models in-frame deletion within Itpr1 leads to a decrease in the normally high level of Itpr1 expression in cerebellar Purkinje cells. Spinocerebellar ataxia 15 (SCA15), a human autosomal dominant disorder, maps to the genomic region containing ITPR1; however, to date no causal mutations had been identified. Because ataxia is a prominent feature in Itpr1 mutant mice, we performed a series of experiments to test the hypothesis that mutation at ITPR1 may be the cause of SCA15. We show here that heterozygous deletion of the 5′ part of the ITPR1 gene, encompassing exons 1–10, 1–40, and 1–44 in three studied families, underlies SCA15 in humans.


Lancet Neurology | 2007

Genome-wide genotyping in amyotrophic lateral sclerosis and neurologically normal controls: first stage analysis and public release of data

Jennifer C. Schymick; Sonja W. Scholz; Hon Chung Fung; Angela Britton; Sampath Arepalli; J. Raphael Gibbs; Federica Lombardo; Mar Matarin; Dalia Kasperaviciute; Dena Hernandez; Cynthia Crews; Lucie Bruijn; Jeffrey D. Rothstein; Gabriele Mora; Gabriella Restagno; Adriano Chiò; Andrew Singleton; John Hardy; Bryan J. Traynor

BACKGROUND The cause of sporadic ALS is currently unknown. Despite evidence for a role for genetics, no common genetic variants have been unequivocally linked to sporadic ALS. We sought to identify genetic variants associated with an increased or decreased risk for developing ALS in a cohort of American sporadic cases. METHODS We undertook a genome-wide association study using publicly available samples from 276 patients with sporadic ALS and 271 neurologically normal controls. 555 352 unique SNPs were assayed in each sample using the Illumina Infinium II HumanHap550 SNP chip. FINDINGS More than 300 million genotypes were produced in 547 participants. These raw genotype data are freely available on the internet and represent the first publicly accessible SNP data for ALS cases. 34 SNPs with a p value less than 0.0001 (two degrees of freedom) were found, although none of these reached significance after Bonferroni correction. INTERPRETATION We generated publicly available genotype data for sporadic ALS patients and controls. No single locus was definitively associated with increased risk of developing disease, although potentially associated candidate SNPs were identified.


Lancet Neurology | 2007

A genome-wide genotyping study in patients with ischaemic stroke: initial analysis and data release

Mar Matarin; W. Mark Brown; Sonja W. Scholz; Javier Simón-Sánchez; Hon Chung Fung; Dena Hernandez; J. Raphael Gibbs; Fabienne Wavrant-De Vrièze; Cynthia Crews; Angela Britton; Carl D. Langefeld; Thomas G. Brott; Robert D. Brown; Bradford B. Worrall; Michael R. Frankel; Scott Silliman; L. Douglas Case; Andrew Singleton; John Hardy; Stephen S. Rich; James F. Meschia

BACKGROUND Despite evidence of a genetic role in stroke, the identification of common genetic risk factors for this devastating disorder remains problematic. We aimed to identify any common genetic variability exerting a moderate to large effect on risk of ischaemic stroke, and to generate publicly available genome-wide genotype data to facilitate others doing the same. METHODS We applied a genome-wide high-density single-nucleotide-polymorphism (SNP) genotyping approach to a cohort of samples with and without ischaemic stroke (n=278 and 275, respectively), and did an association analysis adjusted for known confounders in a final cohort of 249 cases and 268 controls. More than 400,000 unique SNPs were assayed. FINDINGS We produced more than 200 million genotypes in 553 unique participants. The raw genotypes of all the controls have been posted publicly in a previous study of Parkinsons disease. From this effort, results of genotype and allele association tests have been publicly posted for 88% of stroke patients who provided proper consent for public release. Preliminary analysis of these data did not reveal any single locus conferring a large effect on risk for ischaemic stroke. INTERPRETATION The data generated here comprise the first phase of a genome-wide association analysis in patients with stroke. Release of phase I results generated in these publicly available samples from each consenting individual makes this dataset a valuable resource for data-mining and augmentation.

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Dena Hernandez

National Institutes of Health

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Andrew Singleton

National Institutes of Health

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J. Raphael Gibbs

National Institutes of Health

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Javier Simón-Sánchez

German Center for Neurodegenerative Diseases

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John Hardy

University College London

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Jinhui Ding

National Institutes of Health

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Nicholas W. Wood

UCL Institute of Neurology

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Michael A. Nalls

National Institutes of Health

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Henry Houlden

UCL Institute of Neurology

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Angela Britton

National Institutes of Health

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