Browsing by Author "Peters, Annette"
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- Some of the metrics are blocked by yourconsent settingsA Mutation in VPS35, Encoding a Subunit of the Retromer Complex, Causes Late-Onset Parkinson Disease(Cell Press, 2011)
;Zimprich, Alexander ;Benet-Pages, Anna ;Struhal, Walter ;Graf, Elisabeth ;Eck, Sebastian H. ;Offman, Marc N. ;Haubenberger, Dietrich ;Spielberger, Sabine ;Schulte, Eva C. ;Lichtner, Peter ;Rossle, Shaila C. ;Klopp, Norman ;Wolf, Elisabeth ;Seppi, Klaus ;Pirker, Walter ;Presslauer, Stefan; ;Katzenschlager, Regina ;Foki, Thomas ;Hotzy, Christoph ;Reinthaler, Eva ;Harutyunyan, Ashot ;Kralovics, Robert ;Peters, Annette ;Zimprich, Fritz ;Bruecke, Thomas ;Poewe, Werner ;Auff, Eduard; ;Rost, Burkhard ;Ransmayr, Gerhard ;Winkelmann, Juliane ;Meitinger, ThomasStrom, Tim-MathiasTo identify rare causal variants in late-onset Parkinson disease (PD), we investigated an Austrian family with 16 affected individuals by exome sequencing. We found a missense mutation, c.1858G>A (p.Asp620Asn), in the VPS35 gene in all seven affected family members who are alive. By screening additional PI) cases, we saw the same variant cosegregating with the disease in an autosomal-dominant mode with high but incomplete penetrance in two further families with five and ten affected members, respectively. The mean age of onset in the affected individuals was 53 years. Genotyping showed that the shared haplotype extends across 65 kilobases around VPS35. Screening the entire VPS35 coding sequence in an additional 860 cases and 1014 controls revealed six further nonsynonymous missense variants. Three were only present in cases, two were only present in controls, and one was present in cases and controls. The familial mutation p.Asp620Asn and a further variant, c.1570C>T (p.Arg524Trp), detected in a sporadic PD case were predicted to be damaging by sequence-based and molecular-dynamics analyses. VPS35 is a component of the retromer complex and mediates retrograde transport between endosomes and the trans-Golgi network, and it has recently been found to be involved in Alzheimer disease. - Some of the metrics are blocked by yourconsent settingsAutomated MR-based lung volume segmentation in population-based whole-body MR imaging: correlation with clinical characteristics, pulmonary function testing and obstructive lung disease(2019)
;Mueller, Jan-Peter ;Karrasch, Stefan ;Lorbeer, Roberto; ;Pomschar, Andreas ;Kunz, Wolfgang G. ;Krüchten, Ricarda von ;Peters, Annette ;Bamberg, Fabian ;Schulz, HolgerSchlett, Christopher L.Whole-body MR imaging is increasingly utilised; although for lung dedicated sequences are often not included, the chest is typically imaged. Our objective was to determine the clinical utility of lung volumes derived from non-dedicated MRI sequences in the population-based KORA-FF4 cohort study. - Some of the metrics are blocked by yourconsent settingsBlood cis-eQTL Analysis Fails to Identify Novel Association Signals among Sub-Threshold Candidates from Genome-Wide Association Studies in Restless Legs Syndrome(Public Library Science, 2014)
;Schulte, Eva C. ;Schramm, Katharina ;Schurmann, Claudia ;Lichtner, Peter ;Herder, Christian ;Roden, Michael ;Gieger, Christian ;Peters, Annette; ;Hoegl, Birgit ;Frauscher, Birgit ;Berger, Klaus ;Fietze, Ingo ;Gross, Nadine ;Stiasny-Kolster, Karin ;Oertel, Wolfgang ;Bachmann, Cornelius G.; ;Zimprich, Alexander ;Voelzke, Henry ;Schminke, Ulf ;Nauck, Matthias ;Illig, Thomas ;Meitinger, Thomas ;Mueller-Myhsok, Bertram ;Prokisch, HolgerWinkelmann, JulianeRestless legs syndrome (RLS) is a common neurologic disorder characterized by nightly dysesthesias affecting the legs primarily during periods of rest and relieved by movement. RLS is a complex genetic disease and susceptibility factors in six genomic regions have been identified by means of genome-wide association studies (GWAS). For some complex genetic traits, expression quantitative trait loci (eQTLs) are enriched among trait-associated single nucleotide polymorphisms (SNPs). With the aim of identifying new genetic susceptibility factors for RLS, we assessed the 332 best-associated SNPs from the genome-wide phase of the to date largest RLS GWAS for cis-eQTL effects in peripheral blood from individuals of European descent. In 740 individuals belonging to the KORA general population cohort, 52 cis-eQTLs with p(nominal) < 10(-3) were identified, while in 976 individuals belonging to the SHIP-TREND general population study 53 cis-eQTLs with p(nominal) < 10(-3) were present. 23 of these cis-eQTLs overlapped between the two cohorts. Subsequently, the twelve of the 23 cis-eQTL SNPs, which were not located at an already published RLS-associated locus, were tested for association in 2449 RLS cases and 1462 controls. The top SNP, located in the DET1 gene, was nominally significant (p < 0.05) but did not withstand correction for multiple testing (p = 0.42). Although a similar approach has been used successfully with regard to other complex diseases, we were unable to identify new genetic susceptibility factor for RLS by adding this novel level of functional assessment to RLS GWAS data. - Some of the metrics are blocked by yourconsent settingsDilution of candidates: the case of iron-related genes in restless legs syndrome(Nature Publishing Group, 2013)
;Oexle, Konrad ;Schormair, Barbara ;Ried, Janina S. ;Czamara, Darina ;Heim, Katharina ;Frauscher, Birgit ;Hoegl, Birgit; ;Fiedler, Gabriele ;Thiery, Joachim ;Lichtner, Peter ;Prokisch, Holger ;Specht, Michael ;Mueller-Myhsok, Bertram ;Doering, Angela ;Gieger, Christian ;Peters, Annette ;Wichmann, H-Erich ;Meitinger, ThomasWinkelmann, JulianeRestless legs syndrome (RLS) is a common multifactorial disease. Some genetic risk factors have been identified. RLS susceptibility also has been related to iron. We therefore asked whether known iron-related genes are candidates for association with RLS and, vice versa, whether known RLS-associated loci influence iron parameters in serum. RLS/control samples (n=954/1814 in the discovery step, 735/736 in replication 1, and 736/735 in replication 2) were tested for association with SNPs located within 4 Mb intervals surrounding each gene from a list of 111 iron-related genes using a discovery threshold of P=5 x 10(-4). Two population cohorts (KORA F3 and F4 with together n=3447) were tested for association of six known RLS loci with iron, ferritin, transferrin, transferrin-saturation, and soluble transferrin receptor. Results were negative. None of the candidate SNPs at the iron-related gene loci was confirmed significantly. An intronic SNP, rs2576036, of KATNAL2 at 18q21.1 was significant in the first (P=0.00085) but not in the second replication step (joint nominal P-value=0.044). Especially, rs1800652 (C282Y) in the HFE gene did not associate with RLS. Moreover, SNPs at the known RLS loci did not significantly affect serum iron parameters in the KORA cohorts. In conclusion, the correlation between RLS and iron parameters in serum may be weaker than assumed. Moreover, in a general power analysis, we show that genetic effects are diluted if they are transmitted via an intermediate trait to an end-phenotype. Sample size formulas are provided for small effect sizes. European Journal of Human Genetics (2013) 21, 410-414; doi:10.1038/ejhg.2012.193; published online 29 August 2012 - Some of the metrics are blocked by yourconsent settingsIdentification of novel risk loci for restless legs syndrome in genome-wide association studies in individuals of European ancestry: a meta-analysis(2017)
;Schormair, Barbara ;Zhao, Chen ;Bell, Steven ;Tilch, Erik ;Salminen, Aaro V ;Pütz, Benno ;Dauvilliers, Yves ;Stefani, Ambra ;Högl, Birgit ;Poewe, Werner ;Kemlink, David ;Sonka, Karel ;Bachmann, Cornelius G; ; ;Oertel, Wolfgang H ;Hornyak, Magdolna ;Teder-Laving, Maris ;Metspalu, Andres ;Hadjigeorgiou, Georgios M ;Polo, Olli ;Fietze, Ingo ;Ross, Owen A ;Wszolek, Zbigniew ;Butterworth, Adam S ;Soranzo, Nicole ;Ouwehand, Willem H ;Roberts, David J ;Danesh, John ;Allen, Richard P ;Earley, Christopher J ;Ondo, William G ;Xiong, Lan ;Montplaisir, Jacques ;Gan-Or, Ziv ;Perola, Markus ;Vodicka, Pavel ;Dina, Christian ;Franke, Andre ;Tittmann, Lukas ;Stewart, Alexandre F R ;Shah, Svati H ;Gieger, Christian ;Peters, Annette ;Rouleau, Guy A ;Berger, Klaus ;Oexle, Konrad ;Di Angelantonio, Emanuele ;Hinds, David A ;Müller-Myhsok, Bertram ;Winkelmann, Juliane ;Balkau, B ;Ducimetière, P ;Eschwège, E ;Rancière, F ;Alhenc-Gelas, F ;Gallois, Y ;Girault, A ;Fumeron, F ;Marre, M ;Roussel, R ;Bonnet, F ;Bonnefond, A ;Cauchi, S ;Froguel, P ;Cogneau, J ;Born, C ;Caces, E ;Cailleau, M ;Lantieri, O ;Moreau, JG ;Rakotozafy, F ;Tichet, J ;Vol, S ;Agee, Michelle ;Alipanahi, Babak ;Auton, Adam ;Bell, Robert K ;Bryc, Katarzyna ;Elson, Sarah L ;Fontanillas, Pierre ;Furlotte, Nicholas A ;Hromatka, Bethann S ;Huber, Karen E ;Kleinman, Aaron ;Litterman, Nadia K ;McIntyre, Matthew H ;Mountain, Joanna L ;Northover, Carrie AM ;Pitts, Steven J ;Sathirapongsasuti, J Fah ;Sazonova, Olga V ;Shelton, Janie F ;Shringarpure, Suyash ;Tian, Chao ;Tung, Joyce Y ;Vacic, VladimirWilson, Catherine H - Some of the metrics are blocked by yourconsent settingsIdentification of Restless Legs Syndrome Genes by Mutational Load Analysis(2019)
;Tilch, Erik ;Schormair, Barbara ;Zhao, Chen ;Salminen, Aaro V. ;Antic Nikolic, Ana ;Holzknecht, Evi ;Högl, Birgit ;Poewe, Werner ;Bachmann, Cornelius G.; ; ;Oertel, Wolfgang H. ;Hornyak, Magdolna ;Fietze, Ingo ;Berger, Klaus ;Lichtner, Peter ;Gieger, Christian ;Peters, Annette ;Müller‐Myhsok, Bertram ;Hoischen, Alexander ;Winkelmann, JulianeOexle, KonradOBJECTIVE: Restless legs syndrome is a frequent neurological disorder with substantial burden on individual well-being and public health. Genetic risk loci have been identified, but the causatives genes at these loci are largely unknown, so that functional investigation and clinical translation of molecular research data are still inhibited. To identify putatively causative genes, we searched for highly significant mutational burden in candidate genes. METHODS: We analyzed 84 candidate genes in 4,649 patients and 4,982 controls by next generation sequencing using molecular inversion probes that targeted mainly coding regions. The burden of low-frequency and rare variants was assessed, and in addition, an algorithm (binomial performance deviation analysis) was established to estimate independently the sequence variation in the probe binding regions from the variation in sequencing depth. RESULTS: Highly significant results (considering the number of genes in the genome) of the conventional burden test and the binomial performance deviation analysis overlapped significantly. Fourteen genes were highly significant by one method and confirmed with Bonferroni-corrected significance by the other to show a differential burden of low-frequency and rare variants in restless legs syndrome. Nine of them (AAGAB, ATP2C1, CNTN4, COL6A6, CRBN, GLO1, NTNG1, STEAP4, VAV3) resided in the vicinity of known restless legs syndrome loci, whereas 5 (BBS7, CADM1, CREB5, NRG3, SUN1) have not previously been associated with restless legs syndrome. Burden test and binomial performance deviation analysis also converged significantly in fine-mapping potentially causative domains within these genes. INTERPRETATION: Differential burden with intragenic low-frequency variants reveals putatively causative genes in restless legs syndrome. ANN NEUROL 2019. - Some of the metrics are blocked by yourconsent settingsNiemann-Pick C Disease Gene Mutations and Age-Related Neurodegenerative Disorders(Public Library Science, 2013)
;Zech, Michael ;Nuebling, Georg ;Castrop, Florian ;Jochim, Angela ;Schulte, Eva C.; ;Lichtner, Peter ;Peters, Annette ;Gieger, Christian ;Marquardt, Thorsten ;Vanier, Marie T. ;Latour, Philippe ;Kluenemann, Hans H.; ;Diehlschmid, Janine ;Perneczky, Robert ;Meitinger, Thomas ;Oexle, Konrad ;Haslinger, Bernhard ;Lorenzl, StefanWinkelmann, JulianeNiemann-Pick type C (NPC) disease is a rare autosomal-recessively inherited lysosomal storage disorder caused by mutations in NPC1 (95%) or NPC2. Given the highly variable phenotype, diagnosis is challenging and particularly late-onset forms with predominantly neuropsychiatric presentations are likely underdiagnosed. Pathophysiologically, genetic alterations compromising the endosomal/lysosomal system are linked with age-related neurodegenerative disorders. We sought to examine a possible association of rare sequence variants in NPC1 and NPC2 with Parkinson's disease (PD), frontotemporal lobar degeneration (FTLD) and progressive supranuclear palsy (PSP), and to genetically determine the proportion of potentially misdiagnosed NPC patients in these neurodegenerative conditions. By means of high-resolution melting, we screened the coding regions of NPC1 and NPC2 for rare genetic variation in a homogenous German sample of patients clinically diagnosed with PD (n = 563), FTLD (n = 133) and PSP (n = 94), and 846 population-based controls. The frequencies of rare sequence variants in NPC1/2 did not differ significantly between patients and controls. Disease-associated NPC1/2 mutations were found in six PD patients (1.1%) and seven control subjects (0.8%), but not in FTLD or PSP. All rare variation was detected in the heterozygous state and no compound heterozygotes were observed. Our data do not support the hypothesis that rare NPC1/2 variants confer susceptibility for PD, FTLD, or PSP in the German population. Misdiagnosed NPC patients were not present in our samples. However, further assessment of NPC disease genes in age-related neurodegeneration is warranted. - Some of the metrics are blocked by yourconsent settingsPlasma Concentrations of Afamin Are Associated With the Prevalence and Development of Metabolic Syndrome(Lippincott Williams & Wilkins, 2014)
;Kronenberg, Florian ;Kollerits, Barbara ;Kiechl, Stefan ;Lamina, Claudia ;Kedenko, Lyudmyla ;Meisinger, Christa ;Willeit, Johann ;Huth, Cornelia ;Wietzorrek, Georg ;Altmann, Maria E. ;Thorand, Barbara ;Melmer, Andreas ;Daehnhardt, Doreen ;Santer, Peter ;Rathmann, Wolfgang ;Paulweber, Bernhard ;Koenig, Wolfgang ;Peters, Annette ;Adham, Ibrahim M.Dieplinger, HansBackground-Afamin is a human plasma vitamin E-binding glycoprotein primarily expressed in the liver and secreted into the bloodstream. Because little is known about (patho)-physiological functions of afamin, we decided to identify phenotypes associated with afamin by investigating transgenic mice overexpressing the human afamin gene and performing large-scale human epidemiological studies. Methods and Results-Transgenic mice overexpressing afamin revealed increased body weight and serum concentrations of lipids and glucose. We applied a random-effects meta-analysis using age-and sex-adjusted baseline and follow-up investigations in the population-based Bruneck (n=826), Salzburg Atherosclerosis Prevention Program in Subjects at High Individual Risk (SAPHIR; n=1499), and KOoperative Gesundheitsforschung in der Region Augsburg (KORA) F4 studies (n=3060). Mean afamin concentrations were 62.5 +/- 15.3, 66.2 +/- 14.3, and 70.6 +/- 17.2 mg/L in Bruneck, SAPHIR, and KORA F4, respectively. Per 10 mg/L increment in afamin measured at baseline, the number of metabolic syndrome components increased by 19% (incidence rate ratio=1.19; 95% confidence interval [CI], 1.16-1.21; P=5.62x10(-64)). With the same afamin increment used at baseline, we observed an 8% gain in metabolic syndrome components between baseline and follow-up (incidence rate ratio=1.08; 95% CI, 1.06-1.10; P=8.87x10(-16)). Afamin concentrations at baseline were highly significantly related to all individual metabolic syndrome components at baseline and at follow-up. This observation was most pronounced for elevated waist circumference (odds ratio, 1.79; 95% CI, 1.54-2.09; P=4.15x10(-14) at baseline and odds ratio, 1.46; 95% CI, 1.31-1.63; P=2.84x10(-11) for change during follow-up) and for elevated fasting glucose concentrations (odds ratio, 1.46; 95% CI, 1.40-1.52; P=1.87x10(-69) and odds ratio, 1.46; 95% CI, 1.24-1.71; P=5.13x10(-6), respectively). Conclusions-This study in transgenic mice and >5000 participants in epidemiological studies shows that afamin is strongly associated with the prevalence and development of metabolic syndrome and all its components. - Some of the metrics are blocked by yourconsent settingsPosttraumatic Stress Disorder and Not Depression Is Associated with Shorter Leukocyte Telomere Length: Findings from 3,000 Participants in the Population-Based KORA F4 Study(Public Library Science, 2013)
;Ladwig, Karl-Heinz ;Brockhaus, Anne Catharina ;Baumert, Jens ;Lukaschek, Karoline ;Emeny, Rebecca T. ;Kruse, Johannes ;Codd, Veryan ;Haefner, Sibylle ;Albrecht, Eva ;Illig, Thomas ;Samani, Nilesh J. ;Wichmann, Heinz-Erich ;Gieger, ChristianPeters, AnnetteBackground: A link between severe mental stress and shorter telomere length (TL) has been suggested. We analysed the impact of Posttraumatic Stress Disorder (PTSD) on TL in the general population and postulated a dose-dependent TL association in subjects suffering from partial PTSD compared to full PTSD. Methods: Data are derived from the population-based KORA F4 study (2006-2008), located in southern Germany including 3,000 individuals (1,449 men and 1,551 women) with valid and complete TL data. Leukocyte TL was measured using a quantitative PCR-based technique. PTSD was assessed in a structured interview and by applying the Posttraumatic Diagnostic Scale (PDS) and the Impact of Event Scale (IES). A total of 262 (8.7%) subjects qualified for having partial PTSD and 51 (1.7%) for full PTSD. To assess the association of PTSD with the average TL, linear regression analyses with adjustments for potential confounding factors were performed. Results: The multiple model revealed a significant association between partial PTSD and TL (beta = -0.051, p = 0.009) as well as between full PTSD and shorter TL (beta = -0.103, p = 0.014) indicating shorter TL on average for partial and full PTSD. An additional adjustment for depression and depressed mood/exhaustion gave comparable beta estimations. Conclusions: Participants with partial and full PTSD had significantly shorter leukocyte TL than participants without PTSD. The dose-dependent variation in TL of subjects with partial and full PTSD exceeded the chronological age effect, and was equivalent to an estimated 5 years in partial and 10 years in full PTSD of premature aging. - Some of the metrics are blocked by yourconsent settingsPotential of Epidemiological Imaging for Image Analysis and Visualization Applications: A Brief Review(IEEE, 2017)
;Ivanovska, Tatyana ;Herzog, Sebastian ;Flores, Jose Matute ;Ciet, Pierluigi ;Linsen, Lars ;Duijts, Liesbeth ;Tiddens, Harm ;Volzke, Henry ;Peters, AnnetteWorgotter, Florentin - Some of the metrics are blocked by yourconsent settingsRare variants in beta-Amyloid precursor protein (APP) and Parkinson's disease(Nature Publishing Group, 2015)
;Schulte, Eva C. ;Fukumori, Akio; ;Hor, Hyun ;Arzberger, Thomas ;Perneczky, Robert ;Kurz, Alexander ;Diehl-Schmid, Janine ;Huell, Michael ;Lichtner, Peter ;Eckstein, Gertrud ;Zimprich, Alexander ;Haubenberger, Dietrich ;Pirker, Walter ;Bruecke, Thomas ;Bereznai, Benjamin ;Molnar, Maria J. ;Lorenzo-Betancor, Oswaldo ;Pastor, Pau ;Peters, Annette ;Gieger, Christian ;Estivill, Xavier ;Meitinger, Thomas; ; ;Haass, ChristianWinkelmann, JulianeMany individuals with Parkinson's disease (PD) develop cognitive deficits, and a phenotypic and molecular overlap between neurodegenerative diseases exists. We investigated the contribution of rare variants in seven genes of known relevance to dementias (beta-amyloid precursor protein (APP), PSEN1/2, MAPT (microtubule-associated protein tau), fused in sarcoma (FUS), granulin (GRN) and TAR DNA-binding protein 43 (TDP-43)) to PD and PD plus dementia (PD + D) in a discovery sample of 376 individuals with PD and followed by the genotyping of 25 out of the 27 identified variants with a minor allele frequency <5% in 975 individuals with PD, 93 cases with Lewy body disease on neuropathological examination, 613 individuals with Alzheimer's disease (AD), 182 cases with frontotemporal dementia and 1014 general population controls. Variants identified in APP were functionally followed up by A beta mass spectrometry in transiently transfected HEK293 cells. PD + D cases harbored more rare variants across all the seven genes than PD individuals without dementia, and rare variants in APP were more common in PD cases overall than in either the AD cases or controls. When additional controls from publically available databases were added, one rare variant in APP (c.1795G4A(p.(E599K))) was significantly associated with the PD phenotype but was not found in either the PD cases or controls of an independent replication sample. One of the identified rare variants (c.2125G>A (p.(G709S))) shifted the A beta spectrum from A beta 40 to A beta 39 and A beta 37. Although the precise mechanism remains to be elucidated, our data suggest a possible role for APP in modifying the PD phenotype as well as a general contribution of genetic factors to the development of dementia in individuals with PD. - Some of the metrics are blocked by yourconsent settingsRare variants in LRRK1 and Parkinson's disease(Springer, 2014)
;Schulte, Eva C. ;Ellwanger, Daniel C. ;Dihanich, Sybille ;Manzoni, Claudia ;Stangl, Katrin ;Schormair, Barbara ;Graf, Elisabeth ;Eck, Sebastian H.; ;Haubenberger, Dietrich ;Pirker, Walter ;Zimprich, Alexander ;Bruecke, Thomas ;Lichtner, Peter ;Peters, Annette ;Gieger, Christian; ;Mewes, Hans-Werner ;Meitinger, Thomas ;Lewis, Patrick A. ;Kluenemann, Hans H.Winkelmann, JulianeApproximately 20 % of individuals with Parkinson's disease (PD) report a positive family history. Yet, a large portion of causal and disease-modifying variants is still unknown. We used exome sequencing in two affected individuals from a family with late-onset PD to identify 15 potentially causal variants. Segregation analysis and frequency assessment in 862 PD cases and 1,014 ethnically matched controls highlighted variants in EEF1D and LRRK1 as the best candidates. Mutation screening of the coding regions of these genes in 862 cases and 1,014 controls revealed several novel non-synonymous variants in both genes in cases and controls. An in silico multi-model bioinformatics analysis was used to prioritize identified variants in LRRK1 for functional follow-up. However, protein expression, subcellular localization, and cell viability were not affected by the identified variants. Although it has yet to be proven conclusively that variants in LRRK1 are indeed causative of PD, our data strengthen a possible role for LRRK1 in addition to LRRK2 in the genetic underpinnings of PD but, at the same time, highlight the difficulties encountered in the study of rare variants identified by next-generation sequencing in diseases with autosomal dominant or complex patterns of inheritance. - Some of the metrics are blocked by yourconsent settingsRare Variants in PLXNA4 and Parkinson's Disease(Public Library Science, 2013)
;Schulte, Eva C. ;Stahl, Immanuel ;Czamara, Darina ;Ellwanger, Daniel C. ;Eck, Sebastian H. ;Graf, Elisabeth; ;Zimprich, Alexander ;Lichtner, Peter ;Haubenberger, Dietrich ;Pirker, Walter ;Bruecke, Thomas ;Bereznai, Benjamin ;Molnar, Maria J. ;Peters, Annette ;Gieger, Christian ;Mueller-Myhsok, Bertram; Winkelmann, JulianeApproximately 20% of individuals with Parkinson's disease (PD) report a positive family history. Yet, a large portion of causal and disease-modifying variants is still unknown. We used exome sequencing in two affected individuals from a family with late-onset familial PD followed by frequency assessment in 975 PD cases and 1014 ethnically-matched controls and linkage analysis to identify potentially causal variants. Based on the predicted penetrance and the frequencies, a variant in PLXNA4 proved to be the best candidate and PLXNA4 was screened for additional variants in 862 PD cases and 940 controls, revealing an excess of rare non-synonymous coding variants in PLXNA4 in individuals with PD. Although we cannot conclude that the variant in PLXNA4 is indeed the causative variant, these findings are interesting in the light of a surfacing role of axonal guidance mechanisms in neurodegenerative disorders but, at the same time, highlight the difficulties encountered in the study of rare variants identified by next-generation sequencing in diseases with autosomal dominant or complex patterns of inheritance. - Some of the metrics are blocked by yourconsent settingsTargeted Resequencing and Systematic In Vivo Functional Testing Identifies Rare Variants in MEIS1 as Significant Contributors to Restless Legs Syndrome(Cell Press, 2014)
;Schulte, Eva C. ;Kousi, Maria ;Tan, Perciliz L. ;Tilch, Erik ;Knauf, Franziska ;Lichtner, Peter; ;Hoegl, Birgit ;Frauscher, Birgit ;Berger, Klaus ;Fietze, Ingo ;Hornyak, Magdolna ;Oertel, Wolfgang Hermann ;Bachmann, Cornelius G. ;Zimprich, Alexander ;Peters, Annette ;Gieger, Christian ;Meitinger, Thomas ;Mueller-Myhsok, Bertram ;Katsanis, NicholasWinkelmann, JulianeRestless legs syndrome (RLS) is a common neurologic condition characterized by nocturnal dysesthesias and an urge to move, affecting the legs. RLS is a complex trait, for which genome-wide association studies (GWASs) have identified common susceptibility alleles of modest (OR 1.2-1.7) risk at six genomic loci. Among these, variants in MEIS1 have emerged as the largest risk factors for RLS, suggesting that perturbations in this transcription factor might be causally related to RLS susceptibility. To establish this causality, direction of effect, and total genetic burden of MEIS1, we interrogated 188 case subjects and 182 control subjects for rare alleles not captured by previous GWASs, followed by genotyping of similar to 3,000 case subjects and 3,000 control subjects, and concluded with systematic functionalization of all discovered variants using a previously established in vivo model of neurogenesis. We observed a significant excess of rare MEIS1 variants in individuals with RLS. Subsequent assessment of all nonsynonymous variants by in vivo complementation revealed an excess of loss-of-function alleles in individuals with RLS. Strikingly, these alleles compromised the function of the canonical MEIS1 splice isoform but were irrelevant to an isoform known to utilize an alternative 3' sequence. Our data link MEIS1 loss of function to the etiopathology of RLS, highlight how combined sequencing and systematic functional annotation of rare variation at GWAS loci can detect risk burden, and offer a plausible explanation for the specificity of phenotypic expressivity of loss-of-function alleles at a locus broadly necessary for neurogenesis and neurodevelopment. - Some of the metrics are blocked by yourconsent settingsThe role of SCARB2 as susceptibility factor in Parkinson's disease(Wiley-blackwell, 2013)
;Hopfner, Franziska ;Schulte, Eva C.; ;Bereznai, Benjamin ;Knauf, Franziska ;Lichtner, Peter ;Zimprich, Alexander ;Haubenberger, Dietrich ;Pirker, Walter ;Bruecke, Thomas ;Peters, Annette ;Gieger, Christian ;Kuhlenbaeumer, Gregor; Winkelmann, JulianeBackground Genetic variation in the glucocerebrosidase (GBA) gene is strongly associated with Parkinson's disease (PD). Transport of glucocerebrosidase to the lysosome involves the protein encoded by the SCARB2 gene. An association between the common SNP rs6812193, upstream of SCARB2, and PD has been reported previously. The role of exonic variants in the SCARB2 gene in PD has not been examined. Methods We studied the role of exonic variants in SCARB2 and tried to replicate the association between the SNP rs6812193 and PD in a German and Austrian sample. Screening of all SCARB2 exons by high-resolution melting curve analysis was performed in 376 German PD patients. The SNP rs6812193 was analyzed in 984 PD patients and 1014 general population controls. Results We identified no novel exonic variants in SCARB2 but confirmed the association between SNP rs6812193 and PD (OR, 0.86; P=.02). (c) 2013 Movement Disorder Society - Some of the metrics are blocked by yourconsent settingsUncovering the Contribution of Moderate-Penetrance Susceptibility Genes to Breast Cancer by Whole-Exome Sequencing and Targeted Enrichment Sequencing of Candidate Genes in Women of European Ancestry(2022-07-11)
;Dumont, Martine ;Weber-Lassalle, Nana ;Joly-Beauparlant, Charles ;Ernst, Corinna ;Droit, Arnaud ;Feng, Bing-Jian ;Dubois, Stéphane ;Collin-Deschesnes, Annie-Claude ;Soucy, Penny ;Vallée, Maxime ;Fournier, Frédéric ;Lemaçon, Audrey ;Adank, Muriel A. ;Allen, Jamie ;Altmüller, Janine ;Arnold, Norbert ;Ausems, Margreet G. E. M. ;Berutti, Riccardo ;Bolla, Manjeet K. ;Bull, Shelley ;Carvalho, Sara ;Cornelissen, Sten ;Dufault, Michael R. ;Dunning, Alison M.; ;Gehrig, Andrea ;Geurts-Giele, Willemina R. R. ;Gieger, Christian ;Green, Jessica ;Hackmann, Karl ;Helmy, Mohamed ;Hentschel, Julia ;Hogervorst, Frans B. L. ;Hollestelle, Antoinette ;Hooning, Maartje J. ;Horváth, Judit ;Ikram, M. Arfan; ;Keeman, Renske ;Kuang, Da ;Luccarini, Craig ;Maier, Wolfgang ;Martens, John W. M. ;Niederacher, Dieter ;Nürnberg, Peter ;Ott, Claus-Eric ;Peters, Annette ;Pharoah, Paul D. P. ;Ramirez, Alfredo ;Ramser, Juliane ;Riedel-Heller, Steffi ;Schmidt, Gunnar ;Shah, Mitul ;Scherer, Martin ;Stäbler, Antje ;Strom, Tim M. ;Sutter, Christian ;Thiele, Holger ;van Asperen, Christi J. ;van der Kolk, Lizet ;van der Luijt, Rob B. ;Volk, Alexander E. ;Wagner, Michael ;Waisfisz, Quinten ;Wang, Qin ;Wang-Gohrke, Shan ;Weber, Bernhard H. F. ;Devilee, Peter ;Tavtigian, Sean ;Bader, Gary D. ;Meindl, Alfons ;Goldgar, David E. ;Andrulis, Irene L. ;Schmutzler, Rita K. ;Easton, Douglas F. ;Schmidt, Marjanka K. ;Hahnen, Eric ;Simard, Jacques ;Weber-Lassalle, Nana; 2Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany; nana.weber-lassalle@uk-koeln.de (N.W.-L.); corinna.ernst@uk-koeln.de (C.E.); rita.schmutzler@uk-koeln.de (R.K.S.); eric.hahnen@uk-koeln.de (E.H.) ;Ernst, Corinna; 2Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany; nana.weber-lassalle@uk-koeln.de (N.W.-L.); corinna.ernst@uk-koeln.de (C.E.); rita.schmutzler@uk-koeln.de (R.K.S.); eric.hahnen@uk-koeln.de (E.H.) ;Feng, Bing-Jian; 3Department of Dermatology, University of Utah, Salt Lake City, UT 84103, USA; bingjian.feng@hsc.utah.edu (B.-J.F.); david.goldgar@hsc.utah.edu (D.E.G.) ;Adank, Muriel A.; 5Family Cancer Clinic, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, 1066 Amsterdam, The Netherlands; m.adank@nki.nl (M.A.A.); f.hogervorst@nki.nl (F.B.L.H.); l.vd.kolk@nki.nl (L.v.d.K.) ;Allen, Jamie; 6Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; jma@ebi.ac.uk (J.A.); mkh39@medschl.cam.ac.uk (M.K.B.); sc2017@medschl.cam.ac.uk (S.C.); paul.pharoah@medschl.cam.ac.uk (P.D.P.P.); qw232@medschl.cam.ac.uk (Q.W.); dfe20@medschl.cam.ac.uk (D.F.E.) ;Altmüller, Janine; 7Cologne Center for Genomics (CCG), Faculty of Medicine, University Hospital Cologne, University of Cologne, 50931 Cologne, Germany; janine.altmueller@mdc-berlin.de (J.A.); holger.thiele@uni-koeln.de (H.T.) ;Arnold, Norbert; 8Institute of Clinical Molecular Biology, Department of Gynaecology and Obstetrics, University Hospital of Schleswig-Holstein, Campus Kiel, Christian-Albrechts University Kiel, 24105 Kiel, Germany; norbert.arnold@uksh.de ;Ausems, Margreet G. E. M.; 9Division Laboratories, Pharmacy and Biomedical Genetics, Department of Genetics, University Medical Center Utrecht, 3584 Utrecht, The Netherlands; m.g.e.m.ausems@umcutrecht.nl ;Berutti, Riccardo; 10Institute of Human Genetics, Technische Universität München, 81675 Munich, Germany; riccardo.berutti@helmholtz-muenchen.de (R.B.); tim.strom@tum.de (T.M.S.) ;Bolla, Manjeet K.; 6Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; jma@ebi.ac.uk (J.A.); mkh39@medschl.cam.ac.uk (M.K.B.); sc2017@medschl.cam.ac.uk (S.C.); paul.pharoah@medschl.cam.ac.uk (P.D.P.P.); qw232@medschl.cam.ac.uk (Q.W.); dfe20@medschl.cam.ac.uk (D.F.E.) ;Bull, Shelley; 11Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON M5G 1X5, Canada; bull@lunenfeld.ca (S.B.); jessica.green@sinaihealth.ca (J.G.); gary.bader@utoronto.ca (G.D.B.); andrulis@lunenfeld.ca (I.L.A.) ;Carvalho, Sara; 6Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; jma@ebi.ac.uk (J.A.); mkh39@medschl.cam.ac.uk (M.K.B.); sc2017@medschl.cam.ac.uk (S.C.); paul.pharoah@medschl.cam.ac.uk (P.D.P.P.); qw232@medschl.cam.ac.uk (Q.W.); dfe20@medschl.cam.ac.uk (D.F.E.) ;Cornelissen, Sten; 13Division of Molecular Pathology, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, 1066 Amsterdam, The Netherlands; s.cornelissen@nki.nl (S.C.); r.keeman@nki.nl (R.K.); mk.schmidt@nki.nl (M.K.S.) ;Dufault, Michael R.; 14Precision Medicine and Computational Biology, Sanofi Genzyme, Cambridge, MA 02142, USA; michael.dufault@sanofi.com ;Dunning, Alison M.; 15Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK; amd24@medschl.cam.ac.uk (A.M.D.); craig@srl.cam.ac.uk (C.L.); ms483@medschl.cam.ac.uk (M.S.) ;Engel, Christoph; 16Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, 04107 Leipzig, Germany; christoph.engel@imise.uni-leipzig.de ;Gehrig, Andrea; 17Centre of Familial Breast and Ovarian Cancer, Department of Medical Genetics, Institute of Human Genetics, University of Würzburg, 97074 Würzburg, Germany; gehrig@biozentrum.uni-wuerzburg.de ;Geurts-Giele, Willemina R. R.; 18Department of Clinical Genetics, Erasmus University Medical Center, 3015 Rotterdam, The Netherlands; w.geurts-giele@erasmusmc.nl ;Gieger, Christian; 19Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany; christian.gieger@helmholtz-muenchen.de (C.G.); peters@helmholtz-muenchen.de (A.P.) ;Green, Jessica; 11Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON M5G 1X5, Canada; bull@lunenfeld.ca (S.B.); jessica.green@sinaihealth.ca (J.G.); gary.bader@utoronto.ca (G.D.B.); andrulis@lunenfeld.ca (I.L.A.) ;Hackmann, Karl; 22Institute for Clinical Genetics, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany; karl.hackmann@uniklinikum-dresden.de ;Helmy, Mohamed; 23The Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; mohamed_helmy@bii.a-star.edu.sg ;Hentschel, Julia; 26Institute of Human Genetics, University Leipzig, 04103 Leipzig, Germany; julia.hentschel@medizin.uni-leipzig.de ;Hogervorst, Frans B. L.; 5Family Cancer Clinic, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, 1066 Amsterdam, The Netherlands; m.adank@nki.nl (M.A.A.); f.hogervorst@nki.nl (F.B.L.H.); l.vd.kolk@nki.nl (L.v.d.K.) ;Hollestelle, Antoinette; 27Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 Rotterdam, The Netherlands; a.hollestelle@erasmusmc.nl (A.H.); m.hooning@erasmusmc.nl (M.J.H.); j.martens@erasmusmc.nl (J.W.M.M.) ;Hooning, Maartje J.; 27Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 Rotterdam, The Netherlands; a.hollestelle@erasmusmc.nl (A.H.); m.hooning@erasmusmc.nl (M.J.H.); j.martens@erasmusmc.nl (J.W.M.M.) ;Horváth, Judit; 28Institute of Human Genetics, University of Münster, 48149 Münster, Germany; judit.horvath@ukmuenster.de ;Ikram, M. Arfan; 29Department of Epidemiology, Erasmus MC University Medical Center, 3015 Rotterdam, The Netherlands; m.a.ikram@erasmusmc.nl ;Kaulfuß, Silke; 30Institute of Human Genetics, University Medical Center Göttingen, 37075 Göttingen, Germany; silke.kaulfuss@med.uni-goettingen.de ;Keeman, Renske; 13Division of Molecular Pathology, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, 1066 Amsterdam, The Netherlands; s.cornelissen@nki.nl (S.C.); r.keeman@nki.nl (R.K.); mk.schmidt@nki.nl (M.K.S.) ;Kuang, Da; 21Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; kvn.kuang@mail.utoronto.ca ;Luccarini, Craig; 15Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK; amd24@medschl.cam.ac.uk (A.M.D.); craig@srl.cam.ac.uk (C.L.); ms483@medschl.cam.ac.uk (M.S.) ;Maier, Wolfgang; 31German Center for Neurodegenerative Diseases (DZNE), Department of Neurodegenerative Diseases and Geriatric Psychiatry, Medical Faculty, University Hospital Bonn, 53127 Bonn, Germany; wolfgang.maier@ukb.uni-bonn.de ;Martens, John W. M.; 27Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 Rotterdam, The Netherlands; a.hollestelle@erasmusmc.nl (A.H.); m.hooning@erasmusmc.nl (M.J.H.); j.martens@erasmusmc.nl (J.W.M.M.) ;Niederacher, Dieter; 32Department of Gynecology and Obstetrics, University Hospital Düsseldorf, Heinrich-Heine University Düsseldorf, 40225 Düsseldorf, Germany; niederac@med.uni-duesseldorf.de ;Nürnberg, Peter; 33Center for Molecular Medicine Cologne (CMMC), Cologne Center for Genomics (CCG), Faculty of Medicine, University Hospital Cologne, University of Cologne, 50931 Cologne, Germany; nuernberg@uni-koeln.de ;Ott, Claus-Eric; 34Institute of Medical Genetics and Human Genetics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, 13353 Berlin, Germany; claus-eric.ott@charite.de ;Peters, Annette; 19Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany; christian.gieger@helmholtz-muenchen.de (C.G.); peters@helmholtz-muenchen.de (A.P.) ;Pharoah, Paul D. P.; 6Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; jma@ebi.ac.uk (J.A.); mkh39@medschl.cam.ac.uk (M.K.B.); sc2017@medschl.cam.ac.uk (S.C.); paul.pharoah@medschl.cam.ac.uk (P.D.P.P.); qw232@medschl.cam.ac.uk (Q.W.); dfe20@medschl.cam.ac.uk (D.F.E.) ;Ramirez, Alfredo; 36Division for Neurogenetics and Molecular Psychiatry, Medical Faculty, University of Cologne, 50937 Cologne, Germany; alfredo.ramirez@uk-koeln.de ;Ramser, Juliane; 37Division of Gynaecology and Obstetrics, Klinikum Rechts der Isar der Technischen Universität München, 81675 Munich, Germany; juliane.ramser@mri.tum.de (J.R.); alfons.meindl@gmx.de (A.M.) ;Riedel-Heller, Steffi; 38Institute of Social Medicine, Occupational Health and Public Health, Faculty of Medicine, University of Leipzig, 04103 Leipzig, Germany; steffi.riedel-heller@medizin.uni-leipzig.de ;Schmidt, Gunnar; 39Institute of Human Genetics, Hannover Medical School, 30625 Hannover, Germany; schmidt.gunnar@mh-hannover.de ;Shah, Mitul; 15Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK; amd24@medschl.cam.ac.uk (A.M.D.); craig@srl.cam.ac.uk (C.L.); ms483@medschl.cam.ac.uk (M.S.) ;Scherer, Martin; 40Department of Primary Medical Care, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; m.scherer@uke.de ;Stäbler, Antje; 41Institute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany; antje.staebler@med.uni-tuebingen.de ;Strom, Tim M.; 10Institute of Human Genetics, Technische Universität München, 81675 Munich, Germany; riccardo.berutti@helmholtz-muenchen.de (R.B.); tim.strom@tum.de (T.M.S.) ;Sutter, Christian; 42Institute of Human Genetics, University Hospital Heidelberg, 69120 Heidelberg, Germany; christian.sutter@med.uni-heidelberg.de ;Thiele, Holger; 7Cologne Center for Genomics (CCG), Faculty of Medicine, University Hospital Cologne, University of Cologne, 50931 Cologne, Germany; janine.altmueller@mdc-berlin.de (J.A.); holger.thiele@uni-koeln.de (H.T.) ;van Asperen, Christi J.; 43Department of Clinical Genetics, Leiden University Medical Center, 2333 Leiden, The Netherlands; c.j.van_asperen@lumc.nl (C.J.v.A.); r.b.van_der_luijt@lumc.nl (R.B.v.d.L.) ;van der Kolk, Lizet; 5Family Cancer Clinic, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, 1066 Amsterdam, The Netherlands; m.adank@nki.nl (M.A.A.); f.hogervorst@nki.nl (F.B.L.H.); l.vd.kolk@nki.nl (L.v.d.K.) ;van der Luijt, Rob B.; 43Department of Clinical Genetics, Leiden University Medical Center, 2333 Leiden, The Netherlands; c.j.van_asperen@lumc.nl (C.J.v.A.); r.b.van_der_luijt@lumc.nl (R.B.v.d.L.) ;Volk, Alexander E.; 45Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; a.volk@uke.de ;Wagner, Michael; 46Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, 53127 Bonn, Germany; michael.wagner@ukbonn.de ;Waisfisz, Quinten; 47Department of Human Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 Amsterdam, The Netherlands; q.waisfisz@vumc.nl ;Wang, Qin; 6Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; jma@ebi.ac.uk (J.A.); mkh39@medschl.cam.ac.uk (M.K.B.); sc2017@medschl.cam.ac.uk (S.C.); paul.pharoah@medschl.cam.ac.uk (P.D.P.P.); qw232@medschl.cam.ac.uk (Q.W.); dfe20@medschl.cam.ac.uk (D.F.E.) ;Wang-Gohrke, Shan; 48Department of Gynaecology and Obstetrics, University of Ulm, 89081 Ulm, Germany; shan.wang-gohrke@uniklinik-ulm.de ;Weber, Bernhard H. F.; 49Institute of Human Genetics, Regensburg University, 93053 Regensburg, Germany; bweb@klinik.uni-regensburg.de ;Devilee, Peter; 51Department of Pathology, Department of Human Genetics, Leiden University Medical Center, 2333 Leiden, The Netherlands; p.devilee@lumc.nl ;Tavtigian, Sean; 4Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA; sean.tavtigian@hci.utah.edu ;Bader, Gary D.; 11Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON M5G 1X5, Canada; bull@lunenfeld.ca (S.B.); jessica.green@sinaihealth.ca (J.G.); gary.bader@utoronto.ca (G.D.B.); andrulis@lunenfeld.ca (I.L.A.) ;Meindl, Alfons; 37Division of Gynaecology and Obstetrics, Klinikum Rechts der Isar der Technischen Universität München, 81675 Munich, Germany; juliane.ramser@mri.tum.de (J.R.); alfons.meindl@gmx.de (A.M.) ;Goldgar, David E.; 3Department of Dermatology, University of Utah, Salt Lake City, UT 84103, USA; bingjian.feng@hsc.utah.edu (B.-J.F.); david.goldgar@hsc.utah.edu (D.E.G.) ;Andrulis, Irene L.; 11Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON M5G 1X5, Canada; bull@lunenfeld.ca (S.B.); jessica.green@sinaihealth.ca (J.G.); gary.bader@utoronto.ca (G.D.B.); andrulis@lunenfeld.ca (I.L.A.) ;Schmutzler, Rita K.; 2Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany; nana.weber-lassalle@uk-koeln.de (N.W.-L.); corinna.ernst@uk-koeln.de (C.E.); rita.schmutzler@uk-koeln.de (R.K.S.); eric.hahnen@uk-koeln.de (E.H.) ;Easton, Douglas F.; 6Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; jma@ebi.ac.uk (J.A.); mkh39@medschl.cam.ac.uk (M.K.B.); sc2017@medschl.cam.ac.uk (S.C.); paul.pharoah@medschl.cam.ac.uk (P.D.P.P.); qw232@medschl.cam.ac.uk (Q.W.); dfe20@medschl.cam.ac.uk (D.F.E.) ;Schmidt, Marjanka K.; 13Division of Molecular Pathology, The Netherlands Cancer Institute—Antoni van Leeuwenhoek Hospital, 1066 Amsterdam, The Netherlands; s.cornelissen@nki.nl (S.C.); r.keeman@nki.nl (R.K.); mk.schmidt@nki.nl (M.K.S.)Hahnen, Eric; 2Center for Familial Breast and Ovarian Cancer, Center for Integrated Oncology (CIO), Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany; nana.weber-lassalle@uk-koeln.de (N.W.-L.); corinna.ernst@uk-koeln.de (C.E.); rita.schmutzler@uk-koeln.de (R.K.S.); eric.hahnen@uk-koeln.de (E.H.)Genetic variants explaining approximately 40% of familial breast cancer risk have been identified, thus leaving a significant fraction of the heritability of this disease still unexplained. The exact nature of this missing fraction is unknown; more extensive sequencing efforts could potentially identify new moderate-penetrance breast cancer risk alleles. The aim of this study was to perform a large-scale whole-exome sequencing study, followed by a targeted validation, in breast cancer patients and healthy women of European descent. We identified 20 novel genes with modest evidence of association (p-value < 0.05) for either overall or subtype-specific breast cancer; however, much larger studies are needed to confirm the exact role of these genes in susceptibility to breast cancer. Abstract Rare variants in at least 10 genes, including BRCA1, BRCA2, PALB2, ATM, and CHEK2, are associated with increased risk of breast cancer; however, these variants, in combination with common variants identified through genome-wide association studies, explain only a fraction of the familial aggregation of the disease. To identify further susceptibility genes, we performed a two-stage whole-exome sequencing study. In the discovery stage, samples from 1528 breast cancer cases enriched for breast cancer susceptibility and 3733 geographically matched unaffected controls were sequenced. Using five different filtering and gene prioritization strategies, 198 genes were selected for further validation. These genes, and a panel of 32 known or suspected breast cancer susceptibility genes, were assessed in a validation set of 6211 cases and 6019 controls for their association with risk of breast cancer overall, and by estrogen receptor (ER) disease subtypes, using gene burden tests applied to loss-of-function and rare missense variants. Twenty genes showed nominal evidence of association (p-value < 0.05) with either overall or subtype-specific breast cancer. Our study had the statistical power to detect susceptibility genes with effect sizes similar to ATM, CHEK2, and PALB2, however, it was underpowered to identify genes in which susceptibility variants are rarer or confer smaller effect sizes. Larger sample sizes would be required in order to identify such genes. - Some of the metrics are blocked by yourconsent settingsVariants in eukaryotic translation initiation factor 4G1 in sporadic Parkinson's disease(Springer, 2012)
;Schulte, Eva C.; ;Zimprich, Alexander ;Bereznai, Benjamin ;Lichtner, Peter ;Haubenberger, Dietrich ;Pirker, Walter ;Bruecke, Thomas ;Molnar, Maria J. ;Peters, Annette ;Gieger, Christian; Winkelmann, JulianeRecently, mutations in eukaryotic translation initiation factor 4G1 (EIF4G1) were reported as a rare cause of familial Parkinson's disease (PD). We screened the 33 exons of EIF4G1 by high-resolution melting curve analysis for variants in our Central European cohort of 376 PD cases. Variant frequency was assessed in a total of 975 PD cases and 1,014 general population controls. Eight novel nonsynonymous and four synonymous variants were identified. In our cohort, novel and previously identified nonsynonymous variants were very rare. Although it is possible that our general population controls also comprise individuals who have or could develop PD in the future, the presence of the original mutation (EIF4G1 p.Arg1205 His) in three controls only, raises questions about the causality of this variant with regard to PD.