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A coding mutation in APP , the gene that encodes the amyloid-β precursor protein, is found to protect against Alzheimer’s disease and cognitive decline in the elderly without Alzheimer’s disease. 'Natural' protection against Alzheimer's disease Alzheimer's disease is characterized by the existence in the brain of amyloid plaques, which form as a consequence of proteolic cleavage of amyloid precursor protein (APP). By screening almost 2,000 genomes, Kari Stefansson and colleagues find a coding mutation in the APP gene that protects against Alzheimer's disease and cognitive decline in elderly people who lack symptoms of Alzheimer's disease. The mutation causes an approximately 40% reduction in the formation of amyloidogenic peptides in vitro . The strong protective effect of this mutation, which lies next to the aspartyl protease beta-site in APP, provides support for the hypothesis that reducing the beta-cleavage of APP may protect against Alzheimer's. The results also raise the possibility that Alzheimer's disease and cognitive decline in the elderly are mechanistically related. The prevalence of dementia in the Western world in people over the age of 60 has been estimated to be greater than 5%, about two-thirds of which are due to Alzheimer’s disease 1 , 2 , 3 , 4 . The age-specific prevalence of Alzheimer’s disease nearly doubles every 5 years after age 65, leading to a prevalence of greater than 25% in those over the age of 90 (ref. 3 ). Here, to search for low-frequency variants in the amyloid-β precursor protein ( APP ) gene with a significant effect on the risk of Alzheimer’s disease, we studied coding variants in APP in a set of whole-genome sequence data from 1,795 Icelanders. We found a coding mutation (A673T) in the APP gene that protects against Alzheimer’s disease and cognitive decline in the elderly without Alzheimer’s disease. This substitution is adjacent to the aspartyl protease β-site in APP, and results in an approximately 40% reduction in the formation of amyloidogenic peptides in vitro . The strong protective effect of the A673T substitution against Alzheimer’s disease provides proof of principle for the hypothesis that reducing the β-cleavage of APP may protect against the disease. Furthermore, as the A673T allele also protects against cognitive decline in the elderly without Alzheimer’s disease, the two may be mediated through the same or similar mechanisms.

This study shows that a variant of TREM2 , which encodes a protein that suppresses inflammation, causes susceptibility to Alzheimer's disease. Although the variant is rare, its effect on the risk of disease is similar to that of the ε4 allele of apolipoprotein E. Alzheimer's disease, the most common form of dementia in the elderly, is a neurodegenerative disorder that is characterized by a slow but progressive loss of cognitive function. Extracellular amyloid plaques, intracellular neurofibrillary tangles, and loss of neurons and synapses resulting in brain atrophy are the main pathological hallmarks of Alzheimer's disease. 1 Disease onset is usually after the age of 70 years, although the prevalence increases exponentially with age after the age of 65 years and exceeds 25% in those over the age of 90 years. 2 The vast majority of variants in the sequence of the genome that have been shown . . .

Mutations in leucine-rich repeat kinase 2 (LRRK2) cause inherited Parkinson disease (PD), and common variants around LRRK2 are a risk factor for sporadic PD. Using protein–protein interaction arrays, we identified BCL2-associated athanogene 5, Rab7L1 (RAB7, member RAS oncogene family-like 1), and Cyclin-G–associated kinase as binding partners of LRRK2. The latter two genes are candidate genes for risk for sporadic PD identified by genome-wide association studies. These proteins form a complex that promotes clearance of Golgi-derived vesicles through the autophagy–lysosome system both in vitro and in vivo. We propose that three different genes for PD have a common biological function. More generally, data integration from multiple unbiased screens can provide insight into human disease mechanisms.

Genome-wide association studies (GWAS) for Parkinson's disease have linked two loci ( MAPT and SNCA) to risk of Parkinson's disease. We aimed to identify novel risk loci for Parkinson's disease. We did a meta-analysis of datasets from five Parkinson's disease GWAS from the USA and Europe to identify loci associated with Parkinson's disease (discovery phase). We then did replication analyses of significantly associated loci in an independent sample series. Estimates of population-attributable risk were calculated from estimates from the discovery and replication phases combined, and risk-profile estimates for loci identified in the discovery phase were calculated. The discovery phase consisted of 5333 case and 12 019 control samples, with genotyped and imputed data at 7 689 524 SNPs. The replication phase consisted of 7053 case and 9007 control samples. We identified 11 loci that surpassed the threshold for genome-wide significance (p<5×10 −8). Six were previously identified loci ( MAPT, SNCA, HLA-DRB5, BST1, GAK and LRRK2) and five were newly identified loci ( ACMSD, STK39, MCCC1/LAMP3, SYT11, and CCDC62/HIP1R). The combined population-attributable risk was 60·3% (95% CI 43·7–69·3). In the risk-profile analysis, the odds ratio in the highest quintile of disease risk was 2·51 (95% CI 2·23–2·83) compared with 1·00 in the lowest quintile of disease risk. These data provide an insight into the genetics of Parkinson's disease and the molecular cause of the disease and could provide future targets for therapies. Wellcome Trust, National Institute on Aging, and US Department of Defense.

Kari Stefansson and colleagues identify a nonsense mutation in RBM12 segregating with psychosis in an extended Icelandic pedigree and an independent frameshift mutation in RBM12 segregating with psychosis in a Finnish family. They further show that carriers of the Icelandic mutation who are unaffected by psychosis exhibit a psychiatric disorder and cognitive test battery profile resembling that of patients with schizophrenia. Thus far, a handful of highly penetrant mutations conferring risk of psychosis have been discovered. Here we used whole-genome sequencing and long-range phasing to investigate an Icelandic kindred containing ten individuals with psychosis (schizophrenia, schizoaffective disorder or psychotic bipolar disorder). We found that all affected individuals carry RBM12 (RNA-binding-motif protein 12) c.2377G>T ( P = 2.2 × 10 −4 ), a nonsense mutation that results in the production of a truncated protein lacking a predicted RNA-recognition motif. We replicated the association in a Finnish family in which a second RBM12 truncating mutation (c.2532delT) segregates with psychosis ( P = 0.020). c.2377G>T is not fully penetrant for psychosis; however, we found that carriers unaffected by psychosis resemble patients with schizophrenia in their non-psychotic psychiatric disorder and neuropsychological test profile ( P = 0.0043) as well as in their life outcomes (including an increased chance of receiving disability benefits, P = 0.011). As RBM12 has not previously been linked to psychosis, this work provides new insight into psychiatric disease.

A previous genome-wide association (GWA) meta-analysis of 12,386 PD cases and 21,026 controls conducted by the International Parkinson's Disease Genomics Consortium (IPDGC) discovered or confirmed 11 Parkinson's disease (PD) loci. This first analysis of the two-stage IPDGC study focused on the set of loci that passed genome-wide significance in the first stage GWA scan. However, the second stage genotyping array, the ImmunoChip, included a larger set of 1,920 SNPs selected on the basis of the GWA analysis. Here, we analyzed this set of 1,920 SNPs, and we identified five additional PD risk loci (combined p<5×10(-10), PARK16/1q32, STX1B/16p11, FGF20/8p22, STBD1/4q21, and GPNMB/7p15). Two of these five loci have been suggested by previous association studies (PARK16/1q32, FGF20/8p22), and this study provides further support for these findings. Using a dataset of post-mortem brain samples assayed for gene expression (n = 399) and methylation (n = 292), we identified methylation and expression changes associated with PD risk variants in PARK16/1q32, GPNMB/7p15, and STX1B/16p11 loci, hence suggesting potential molecular mechanisms and candidate genes at these risk loci.

ObjectiveSpinocerebellar ataxia 36 (SCA36) is an autosomal-dominant neurodegenerative disorder caused by a large (>650) hexanucleotide GGCCTG repeat expansion in the first intron of the NOP56 gene. The aim of this study is to clarify the prevalence, clinical and genetic features of SCA36.MethodsThe expansion was tested in 676 unrelated SCA index cases and 727 controls from France, Germany and Japan. Clinical and neuropathological features were investigated in available family members.ResultsNormal alleles ranged between 5 and 14 hexanucleotide repeats. Expansions were detected in 12 families in France (prevalence: 1.9% of all French SCAs) including one family each with Spanish, Portuguese or Chinese ancestry, in five families in Japan (1.5% of all Japanese SCAs), but were absent in German patients. All the 17 SCA36 families shared one common haplotype for a 7.5 kb pairs region flanking the expansion. While 27 individuals had typically long expansions, three affected individuals harboured small hexanucleotide expansions of 25, 30 and 31 hexanucleotide repeat-units, demonstrating that such a small expansion could cause the disease. All patients showed slowly progressive cerebellar ataxia frequently accompanied by hearing and cognitive impairments, tremor, ptosis and reduced vibration sense, with the age at onset ranging between 39 and 65 years, and clinical features were indistinguishable between individuals with short and typically long expansions. Neuropathology in a presymptomatic case disclosed that Purkinje cells and hypoglossal neurons are affected.ConclusionsSCA36 is rare with a worldwide distribution. It can be caused by a short GGCCTG expansion and associates various extracerebellar symptoms.

Epidemiological and genetic data support the notion that schizophrenia and bipolar disorder share genetic risk factors. In our previous genome-wide association study, meta-analysis and follow-up (totaling as many as 18 206 cases and 42 536 controls), we identified four loci showing genome-wide significant association with schizophrenia. Here we consider a mixed schizophrenia and bipolar disorder (psychosis) phenotype (addition of 7469 bipolar disorder cases, 1535 schizophrenia cases, 333 other psychosis cases, 808 unaffected family members and 46 160 controls). Combined analysis reveals a novel variant at 16p11.2 showing genome-wide significant association (rs4583255[T]; odds ratio=1.08; P =6.6 × 10 −11 ). The new variant is located within a 593-kb region that substantially increases risk of psychosis when duplicated. In line with the association of the duplication with reduced body mass index (BMI), rs4583255[T] is also associated with lower BMI ( P =0.0039 in the public GIANT consortium data set; P =0.00047 in 22 651 additional Icelanders).

Background Missense mutations in the eukaryotic translation initiation factor 4-γ 1 (EIF4G1) gene have previously been implicated in familial Parkinson's disease (PD). A large PD family with autosomal-dominant segregation showed a heterozygous missense mutation and additional patients were found to have unique sequence variants that have not been observed in controls. Subsequent studies have reported contradictory findings. Methods We assessed the relevance of EIF4G1 mutations in a European cohort of 2146 PD patients. Of these, 2051 sporadic PD patients were screened for the reported p.Ala502Val and p.Arg1205His mutations. In addition, the complete coding region of EIF4G1 was directly sequenced in 95 familial PD patients with autosomal-dominant inheritance. Moreover, we imputed the p.Arg1205His substitution and tested for association with PD in the Icelandic population (93 698 samples). Results We did not observe the presence of the p.Ala502Val substitution in our cohort; however, the p.Arg1205His mutation was identified in one sporadic PD patient. The same mutation was also found in 76 Icelandic subjects older than 65 years using haplotype imputing. Only five of these subjects reported PD symptoms (OR 1.3, p=0.50). Thus, if causal, the p.Arg1205His EIF4G1 mutation has a low penetrance or a late onset manifestation. A novel variant p.Arg566Cys found in a patient with familial PD did not cosegregate with PD in all three affected siblings. All further recently published EIF4G1 mutations found in our cohort are likely to be benign polymorphisms. Conclusions This is the largest genetic study of EIF4G1 mutations in PD. Our data do not support the EIF4G1 gene as a high-risk PD locus, neither for the familial nor the sporadic condition. Furthermore, the p.Arg1205His mutation is not significantly associated with increased risk of PD in the Icelandic population. Therefore, caution should be exercised when interpreting EIF4G1 genotyping results in isolated patients and PD families. In summary, diagnostic testing of EIF4G1 should not be recommended in clinical settings.

The catechol-O-methyltranferase (COMT) is one of the main enzymes that metabolise dopamine in the brain. The Val158Met polymorphism in the COMT gene (rs4680) causes a trimodal distribution of high (Val/Val), intermediate (Val/Met) and low (Met/Met) enzyme activity. We tested whether the Val158Met polymorphism is a modifier of the age at onset (AAO) in Parkinson's disease (PD). The rs4680 was genotyped in a total of 16 609 subjects from five independent cohorts of European and North American origin (5886 patients with PD and 10 723 healthy controls). The multivariate analysis for comparing PD and control groups was based on a stepwise logistic regression, with gender, age and cohort origin included in the initial model. The multivariate analysis of the AAO was a mixed linear model, with COMT genotype and gender considered as fixed effects and cohort and cohort-gender interaction as random effects. COMT genotype was coded as a quantitative variable, assuming a codominant genetic effect. The distribution of the COMT polymorphism was not significantly different in patients and controls (p=0.22). The Val allele had a significant effect on the AAO with a younger AAO in patients with the Val/Val (57.1±13.9, p=0.03) than the Val/Met (57.4±13.9) and the Met/Met genotypes (58.3±13.5). The difference was greater in men (1.9 years between Val/Val and Met/Met, p=0.007) than in women (0.2 years, p=0.81). Thus, the Val158Met COMT polymorphism is not associated with PD in the Caucasian population but acts as a modifier of the AAO in PD with a sexual dimorphism: the Val allele is associated with a younger AAO in men with idiopathic PD.