SEARCH · Search PubMed

Results for “Single nucleotide polymorphisms (SNPs)”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

SourceResearch connectionFrom yearThrough year

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 235 records · Page 13Linked to original sources

PubMed2006

Validation of the use of DNA pools and primer extension in association studies of sporadic colorectal cancer for selection of candidate SNPs.

Colorectal cancer (CRC) is a multifactorial disease that involves both lifestyle and genetic factors. To identify single nucleotide polymorphisms (SNPs) associated with sporadic CRC, we used pooled DNA samples representing 230 cases with sporadic CRC and 540 controls. The allele frequency of the SNPs was estimated in the two pools using a genotyping method based on primer extension and capillary electrophoresis (CE). The sensitivity of the method was high, which permitted the detection of an odds ratio (OR) of 1.5. Validation of the method showed that it is robust, linear, sensitive, and reproducible. Of the 224 SNPs investigated, 20 potential candidates associated with CRC were identified, including IL6 -174G>C (g.22062318G>C), XRCC1 c.685 C>T (p.Arg194Trp), PPARGC1A g.92945042C>T (3'UTR 96516), GSTP1 c.342A>C (p.Ile105Val), GSTM1 c.573C>G (p.Lys173Asn), and SULT1A1 g.19934792G>A (p.Arg213His). All were borderline significant, and none were significant at the 5% level. A high number of the SNPs (40%) were not polymorphic in our population. We conclude that instead of looking for single risk factors, investigators should examine individual combinations of potential risk factors to clarify the genetic predisposition to CRC.

Aged↗

PubMed2003

Association of transforming growth factor-beta1 gene polymorphisms with a hepatocellular carcinoma risk in patients with chronic hepatitis B virus infection.

Transforming growth factor-beta1 (TGF-beta1) can act as both a tumor suppressor and a stimulator of tumor progression. We have examined the relationship between polymorphisms of the TGF-beta1 gene and the risk of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B virus (HBV) infection. A total of 1,237 Korean subjects were prospectively enrolled; 1,046 patients with chronic HBV infection and 191 healthy controls with no evidence of recent or remote HBV infection. The patients were divided into two groups: those without (n = 809) and those with HCC (n = 237). Single nucleotide polymorphisms (SNPs) of TGF-beta1 were searched for and genotyped using the single base extension method. In Korean subjects, only two SNPs were found among the seven known polymorphisms of TGF-beta1, at position -509 and in codon 10. The risk of HCC was significantly lower in patients with the T/T or C/T genotypes than in those with the C/C genotypes at position -509 (P < 0.02), and also lower among those with the Pro/Pro or Leu/Pro genotypes than in those with the Leu/Leu genotypes in codon 10 (P < 0.007). Haplotype analysis revealed that the possession of [-509C > T; L10P] conferred a decreased likelihood of HCC (OR = 0.74; 95% CI, 0.59-0.93; P = 0.008). In conclusion, the presence of the TGF-beta1 -509C > T promoter or of the L10P polymorphism, and the combination of both [-509C > T; L10P] as a haplotype were strongly associated with a reduced risk of HCC in patients with chronic HBV infection.

Adult↗

PubMed2006

Multinomial logistic regression approach to haplotype association analysis in population-based case-control studies.

BACKGROUND: The genetic association analysis using haplotypes as basic genetic units is anticipated to be a powerful strategy towards the discovery of genes predisposing human complex diseases. In particular, the increasing availability of high-resolution genetic markers such as the single-nucleotide polymorphisms (SNPs) has made haplotype-based association analysis an attractive alternative to single marker analysis. RESULTS: We consider haplotype association analysis under the population-based case-control study design. A multinomial logistic model is proposed for haplotype analysis with unphased genotype data, which can be decomposed into a prospective logistic model for disease risk as well as a model for the haplotype-pair distribution in the control population. Environmental factors can be readily incorporated and hence the haplotype-environment interaction can be assessed in the proposed model. The maximum likelihood estimation with unphased genotype data can be conveniently implemented in the proposed model by applying the EM algorithm to a prospective multinomial logistic regression model and ignoring the case-control design. We apply the proposed method to the hypertriglyceridemia study and identifies 3 haplotypes in the apolipoprotein A5 gene that are associated with increased risk for hypertriglyceridemia. A haplotype-age interaction effect is also identified. Simulation studies show that the proposed estimator has satisfactory finite-sample performances. CONCLUSION: Our results suggest that the proposed method can serve as a useful alternative to existing methods and a reliable tool for the case-control haplotype-based association analysis.

Algorithms↗

PubMed2005

Identification of 156 novel SNPs in 29 genes encoding G-protein coupled receptors.

We have been performing extensive screening on single nucleotide polymorphisms (SNPs) in and around genes encoding drug metabolizing enzymes, transporters, and receptors and have constructed the high-density SNP maps of such gene regions. In addition to genetic information reported earlier, we identified a total of 390 genetic variations, 358 SNPs and 32 genetic variations of other types, detected in 29 genes encoding G-protein coupled receptors in Japanese populations. Following a comparison of our data with SNPs in the dbSNP database in the US National Center for Biotechnology Information, 156 SNPs from these gene loci are considered to be novel. The fine-scale SNP maps constructed in this study should serve an important resource for studies of linkage-disequilibrium mapping for complex genetic diseases and drug-response phenotypes.

DNA↗

PubMedDate not supplied

A measure of phase ambiguity in pairs of SNPs in the presence of linkage disequilibrium.

The extent of haplotype ambiguity in a string of single-nucleotide polymorphisms (SNPs) was quantified by Hodge et al. [Nat Genet 1999;21:360]. In their measure, the level of ambiguity increases with increasing numbers of loci and as loci become more polymorphic. That work assumed linkage equilibrium (LE). However, linkage disequilibrium (LD) provides additional information about the haplotypes at a site, thereby diluting the level of ambiguity. The ambiguity vanishes altogether when LD reaches its maximum value. Here, we introduce the ambiguity measure, Phi, to allow for LD (between pairs of SNPs). We derive the formula Phi = 4x(2)x(3) for ambiguity in individuals, where x(1), x(2), x(3) and x(4) are the probabilities of the A(1)A(2), A(1)B(2), B(1)A(2) and B(1)B(2) haplotypes, respectively, and w.l.o.g. x(1)x(4) > or = x(2)x(3). Alternatively, Phi can be expressed in terms of the allele frequencies and the LD parameter delta. We also extend the formula to triads of two parents plus one child. We estimate our measure Phi for relevant SNPs in the published lipoprotein lipase (LPL) gene dataset [Clark et al., Am J Hum Genet 1998;63:595; Nickerson et al., Nat Genet 1998;19:233], obtaining values ranging from a low of 0 to a high of 0.11 among adjacent pairs of sites. In genome-wide LD studies to map common disease genes, a dense map of SNPs may be utilized to detect association between a marker and disease. Therefore, the measurement of ambiguity can potentially help investigators to determine a more efficient map, designed to minimize ambiguity and subsequent information loss.

Algorithms↗

PubMed2026

Emerging terbinafine-resistant Trichophyton indotineae between 2018 and 2023: a multinational genomic epidemiology study.

BACKGROUND: Trichophyton species cause the greatest burden of dermatophytosis worldwide, with the Trichophyton mentagrophytes species complex being particularly associated with the emergence of new aggressive infections. One emerging species, Trichophyton indotineae is notable for its clinical resistance to terbinafine antifungal treatment and rapid global spread. In this study we aim to characterise the epidemiology of this emerging pathogen using genomics. METHODS: In this retrospective genomic epidemiology study, to better understand the epidemiology of this disease, we sourced isolates collected from patients with severe cases of dermatophytosis (identified either by internal transcribed spacer sequencing or phenotypic characterisation) in the UK, Ireland, France, Canada, and India for the period 2014-23, including the T indotineae type strain from Japan. We used whole-genome sequencing to confirm 90 isolates were T indotineae, and antifungal susceptibility testing to assess susceptibility to terbinafine. FINDINGS: 103 cases of severe dermatophytosis caused by Trichophyton species collected between 2018 and 2023 in the UK, France, Canada, Ireland, and India were included in this study. Susceptibility testing indicated that 63 (70%) of 90 T indotineae isolates were resistant to terbinafine (minimum inhibitory concentration [MIC] ≥0·5 mg/L). Pairwise genetic distances showed very high identity with only 147 (range 1-414) single-nucleotide polymorphisms (SNPs) separating isolates that were nested within a monophyletic phylogeny, supporting a single evolutionary origin of T indotineae. Genome-wide analyses identified multiple non-synonymous SNPs in SQLE (ERG1), the squalene epoxidase target of terbinafine, that were associated with terbinafine in vitro resistance of 0·5 mg/L or higher. However, six isolates exhibited high MIC values without SQLE mutations, suggesting the presence of alternative resistance mechanisms. INTERPRETATION: That no clear geographical clustering of isolates was observed confirms the rapid transcontinental spread of T indotineae from its likely centre of diversity in Asia. Our findings highlight the importance of better genomic surveillance to understand and manage this severe and rapidly emerging terbinafine-resistant dermatophyte. FUNDING: None.

Terbinafine↗

PubMed2005

A genotyping system capable of simultaneously analyzing >1000 single nucleotide polymorphisms in a haploid genome.

A high-throughput genotyping system for scoring single nucleotide polymorphisms (SNPs) has been developed. With this system, >1000 SNPs can be analyzed in a single assay, with a sensitivity that allows the use of single haploid cells as starting material. In the multiplex polymorphic sequence amplification step, instead of attaching universal sequences to the amplicons, primers that are unlikely to have nonspecific and productive interactions are used. Genotypes of SNPs are then determined by using the widely accessible microarray technology and the simple single-base extension assay. Three SNP panels, each consisting of >1000 SNPs, were incorporated into this system. The system was used to analyze 24 human genomic DNA samples. With 5 ng of human genomic DNA, the average detection rate was 98.22% when single probes were used, and 96.71% could be detected by dual probes in different directions. When single sperm cells were used, 91.88% of the SNPs were detectable, which is comparable to the level that was reached when very few genetic markers were used. By using a dual-probe assay, the average genotyping accuracy was 99.96% for 5 ng of human genomic DNA and 99.95% for single sperm. This system may be used to significantly facilitate large-scale genetic analysis even if the amount of DNA template is very limited or even highly degraded as that obtained from paraffin-embedded cancer specimens, and to make many unpractical research projects highly realistic and affordable.

Chromosome Mapping↗

PubMed2005

Gene mapping with pooled samples on three genotyping platforms.

We have evaluated three genotyping techniques to detect allelic association between single nucleotide polymorphisms (SNPs) and disease loci by using pooled DNA samples. The use of DNA pools instead of individual samples saves considerably time, DNA quantity, and reagent costs. The methods that were compared were PCR-restriction fragment length polymorphism (PCR-RFLP), Single nucleotide primer extension, and chip-based mass spectrometry. As a model disease we studied an autosomal recessive disorder, congenital chloride diarrhea (CLD), caused by mutations in the human gene SLC26A3 on chromosome 7q31. Patient, carrier, and control pools were genotyped with eight SNP markers located within 10 cM around the target gene. Measured allele frequencies were consistent between the three platforms and we detected disease association with a cluster of several SNPs, the most significant being the marker located closest to the target gene (p=1.56 x 10(-16)). The largest source of error in pooled genotyping was shown to be the volumetric error in preparing the pools. The PCR-RFLP method was further evaluated by applying the pooling strategy to an ongoing multicenter-study. Measured allele frequencies of six polymorphisms agreed well with those measured individually and confirmed that multiple platforms are suitable for pooled genotyping.

Chromosome Mapping↗

PubMed2006

Scale invariant correlations between genes and SNPs on Human chromosome 1 reveal potential evolutionary mechanisms.

The local density of gene structures and single nucleotide polymorphisms (SNPs) along human chromosomes appears inhomogeneous. In chromosome 1, the density patterns from both these elements are shown here to exhibit similar scale invariant clustering, as well as long-ranged and scale invariant auto- and cross-correlations. The local densities of these elements sites can be accurately represented by the scale invariant exponential dispersion models, a group of stochastic models that act as limiting distributions for a wide range of generalized linear models. The scale invariant Poisson-gamma (PG) distribution is the most applicable of these models, since it describes the above findings and it lends itself to a stochastic mechanism for the accumulation of segmental chromosomal changes. This PG model describes the summation of neutral chromosomal mutations, deletions, rearrangements and recombinations, within chromosomal segments that are distinguished by their evolutionary genealogies. Scale invariance is a necessary property if such a description is to remain valid at different measurement scales. The observed density patterns, and proposed model, presumably represent the convergent summation of multiple stochastic processes within the evolutionary history of the chromosome.

Chromosomes, Human, Pair 1↗

PubMed2005

Discovery of SNPs in soybean genotypes frequently used as the parents of mapping populations in the United States and Korea.

Single nucleotide polymorphisms (SNPs) including insertion/deletions (indels) serve as useful and informative genetic markers. The availability of high-throughput and inexpensive SNP typing systems has increased interest in the development of SNP markers. After fragments of genes were amplified with primers derived from 110 soybean GenBank ESTs, sequencing data of PCR products from 15 soybean genotypes from Korea and the United States were analyzed by SeqScape software to find SNPs. Among 35 gene fragments with at least one SNP among the 15 genotypes, SNPs occurred at a frequency of 1 per 2,038 bp in 16,302 bp of coding sequence and 1 per 191 bp in 16,960 bp of noncoding regions. This corresponds to a nucleotide diversity (theta) of 0.00017 and 0.00186, respectively. Of the 97 SNPs discovered, 78 or 80.4% were present in the six North American soybean mapping parents. The addition of "Hwaeomputkong," which originated from Japan, increased the number to 92, or 94.8% of the total number of SNPs present among the 15 genotypes. Thus, Hwaeomputkong and the six North American mapping parents provide a diverse set of soybean genotypes that can be successfully used for SNP discovery in coding DNA and closely associated introns and untranslated regions.

Base Sequence↗

PubMed2004

Functional analysis of SNPs variants of BCRP/ABCG2.

PURPOSE: The aim of the current study was to identify the effect of single nucleotide polymorphisms (SNPs) in breast cancer resistance protein (BCRP/ABCG2) on its localization, expression level, and transport activity. METHODS: The cellular localization was identified using the wild type and seven different SNP variants of BCRP (V12M, Q141K, A149P, R163K, Q166E, P269S, and S441N BCRP) after transfection of their cDNAs in plasmid vector to LLC-PK1 cells. Their expression levels and transport activities were determined using the membrane vesicles from HEK293 cells infected with the recombinant adenoviruses containing these kinds of BCRP cDNAs. RESULTS: Wild type and six different SNP variants of BCRP other than S441N BCRP were expressed on the apical membrane, whereas S441N BCRP showed intracellular localization. The expression levels of Q141K and S441N BCRP proteins were significantly lower compared with the wild type and the other five variants. Furthermore, the transport activity of E1S, DHEAS, MTX, and PAH normalized by the expression level of BCRP protein was almost the same for the wild type, V12M, Q141K, A149P, R163K, Q166E, and P269S BCRP. CONCLUSIONS: These results suggest that Q141K SNPs may associate with a lower expression level, and S441N SNPs may affect both the expression level and cellular localization. It is possible that subjects with these polymorphisms may have lower expression level of BCRP protein and, consequently, a reduced ability to export these substrates.

ATP Binding Cassette Transporter, Subfamily G, Mem↗

PubMed2005

Construction of an electrochemical DNA chip for simultaneous genotyping of single nucleotide polymorphisms.

An electrochemical DNA chip was constructed for simultaneous genotyping of single nucleotide polymorphisms (SNPs) using genomic DNA extracted from blood samples. This chip consisted of electrodes located on a single piece of substrate and allele-specific oligonucleotide probes on the electrodes. As a first application, the 4 SNPs (MxA[-88], MxA[-123], MBL[X/Y], and MBL[A/B]), which have association with the efficacy of interferon therapy for HCV patient, were genotyped on the new DNA chip. Following hybridization of PCR products containing the 4 types of fragments, washing, bisbenzimide H33258 (Hoechst 33258) reaction and electrochemical analyses, 59 blood samples were genotyped by the chip method simultaneously. All procedures were completed within 2 h and the results were 100% concordant with those by the direct sequence method. The electrochemical DNA chip is expected to be a practical tool for SNPs genotyping.

Bisbenzimidazole↗

PubMed2006

A tool for selecting SNPs for association studies based on observed linkage disequilibrium patterns.

The design of genetic association studies using single-nucleotide polymorphisms (SNPs) requires the selection of subsets of the variants providing high statistical power at a reasonable cost. SNPs must be selected to maximize the probability that a causative mutation is in linkage disequilibrium (LD) with at least one marker genotyped in the study. The HapMap project performed a genome-wide survey of genetic variation with about a million SNPs typed in four populations, providing a rich resource to inform the design of association studies. A number of strategies have been proposed for the selection of SNPs based on observed LD, including construction of metric LD maps and the selection of haplotype tagging SNPs. Power calculations are important at the study design stage to ensure successful results. Integrating these methods and annotations can be challenging: the algorithms required to implement these methods are complex to deploy, and all the necessary data and annotations are deposited in disparate databases. Here, we present the SNPbrowser Software, a freely available tool to assist in the LD-based selection of markers for association studies. This stand-alone application provides fast query capabilities and swift visualization of SNPs, gene annotations, power, haplotype blocks, and LD map coordinates. Wizards implement several common SNP selection workflows including the selection of optimal subsets of SNPs (e.g. tagging SNPs). Selected SNPs are screened for their conversion potential to either TaqMan SNP Genotyping Assays or the SNPlex Genotyping System, two commercially available genotyping platforms, expediting the set-up of genetic studies with an increased probability of success.

Computational Biology↗

PubMed2000

Sequence diversity and large-scale typing of SNPs in the human apolipoprotein E gene.

A common strategy for genotyping large samples begins with the characterization of human single nucleotide polymorphisms (SNPs) by sequencing candidate regions in a small sample for SNP discovery. This is usually followed by typing in a large sample those sites observed to vary in a smaller sample. We present results from a systematic investigation of variation at the human apolipoprotein E locus (APOE), as well as the evaluation of the two-tiered sampling strategy based on these data. We sequenced 5.5 kb spanning the entire APOE genomic region in a core sample of 72 individuals, including 24 each of African-Americans from Jackson, Mississippi; European-Americans from Rochester, Minnesota; and Europeans from North Karelia, Finland. This sequence survey detected 21 SNPs and 1 multiallelic indel, 14 of which had not been previously reported. Alleles varied in relative frequency among the populations, and 10 sites were polymorphic in only a single population sample. Oligonucleotide ligation assays (OLA) were developed for 20 of these sites (omitting the indel and a closely-linked SNP). These were then scored in 2179 individuals sampled from the same three populations (n = 843, 884, and 452, respectively). Relative allele frequencies were generally consistent with estimates from the core sample, although variation was found in some populations in the larger sample at SNPs that were monomorphic in the corresponding smaller core sample. Site variation in the larger samples showed no systematic deviation from Hardy-Weinberg expectation. The large OLA sample clearly showed that variation in many, but not all, of OLA-typed SNPs is significantly correlated with the classical protein-coding variants, implying that there may be important substructure within the classical epsilon 2, epsilon 3, and epsilon 4 alleles. Comparison of the levels and patterns of polymorphism in the core samples with those estimated for the OLA-typed samples shows how nucleotide diversity is underestimated when only a subset of sites are typed and underscores the importance of adequate population sampling at the polymorphism discovery stage. [The sequence data described in this paper have been submitted to the GenBank data library under accession no. AF261279.]

Alleles↗

PubMed2003

Additional SNPs and linkage-disequilibrium analyses are necessary for whole-genome association studies in humans.

More than 5 million single-nucleotide polymorphisms (SNPs) with minor-allele frequency greater than 10% are expected to exist in the human genome. Some of these SNPs may be associated with risk of developing common diseases. To assess the power of currently available SNPs to detect such associations, we resequenced 50 genes in two ethnic samples and measured patterns of linkage disequilibrium between the subset of SNPs reported in dbSNP and the complete set of common SNPs. Our results suggest that using all 2.7 million SNPs currently in the database would detect nearly 80% of all common SNPs in European populations but only 50% of those common in the African American population and that efficient selection of a minimal subset of SNPs for use in association studies requires measurement of allele frequency and linkage disequilibrium relationships for all SNPs in dbSNP.

Alleles↗

PubMed2006

SNPs and interaction analyses of noelin 2, myocilin, and optineurin genes in Japanese patients with open-angle glaucoma.

PURPOSE: To evaluate the noelin 2 gene as a disease-causing factor for open-angle glaucoma (OAG) and the interactions between the noelin 2 (OLFM2), optineurin (OPTN), and myocilin (MYOC) genes. METHODS: OLFM2 was analyzed in 770 Japanese subjects including 215 patients with elevated intraocular pressure (IOP), 277 with normal IOP, 38 with juvenile open-angle glaucoma, and 240 control subjects. Two single-nucleotide polymorphisms (SNPs) in OPTN (c.412G-->A and c.603T-->A) and one SNP in MYOC (c.227G-->A) were examined. Single genes were investigated by univariate analysis and the gene-gene interactions by logistic regression analysis. Associations between genotypes and clinical characteristics at the time of diagnosis were examined. RESULTS: In OLFM2, 12 sequence variants were identified in 770 Japanese subjects. Arg144Gln (exon 4) was identified in two (0.3%) of the patients and in none of the control subjects. Combinations of OLFM2/317A and OPTN/412A or OLFM2/1281T and OPTN/412A were associated with patients with elevated IOP (P = 0.018 or P = 0.012, respectively). The combination of OLFM2/317G and OPTN/603A was significantly associated with elevated IOP (P = 0.018). No significant association was detected between SNPs in OLFM2 and in MYOC. Patients with normal IOP and with OLFM2/678A+OPTN/412G or OLFM2/1281C+OPTN/412G had significantly worse visual field scores (P = 0.022 or 0.030, respectively). CONCLUSIONS: The Arg144Gln mutation in OLFM2 is a possible disease-causing mutation in Japanese patients with OAG. Common polymorphisms in OLFM2 and OPTN may interactively contribute to the development of OAG, indicating a polygenic etiology.

Adult↗

PubMed2002

Highly multiplexed genotyping of coronary artery disease-associated SNPs using MALDI-TOF mass spectrometry.

Highly multiplexed genotyping methods are needed to support a comprehensive analysis of single nucleotide polymorphisms (SNPs) in coronary artery disease (CAD)-related genes. In this study we evaluated chip-based MALDI-TOF mass spectrometry for multiplexed genotyping of SNPs associated with CAD. Our analysis included 14 healthy Japanese individuals and 19 Japanese patients with myocardial infarction whose first attack occurred before age 50. We selected 29 candidate genes involved in 1) the renin-angiotensin system, 2) lipid metabolism, 3) cytokines and adhesion molecules, 4) growth factors, and 5) the coagulation-fibrinolysis system. Genotyping of candidate SNPs was performed by MALDI-TOF MS using a MassARRAY system, and 4-plex analysis was achieved at a maximum. All 39 SNPs determined by the fluorescent dye-terminator cycle sequencing method from four randomly selected patients were found to be in complete agreement with the results obtained from MassARRAY system. Significant differences were observed in the -1965delG of PAI1 (SERPINE1) with respect to allelic frequency, the G>A in the promoter region SNP in SM22 (TAGLN) for dominant genotype, and in two other SNPs (C>T in intron 1 of HGF, and -1965delG of PAI1) for recessive genotype. Three SNPs (803T>C of AGT, 677CT of MTHFR, 190T>C of ADRB3) showed weak differences in allelic frequency. MALDI-TOF-MS provided high performance with a multiplex assay design for analysis of CAD-related SNPs by increasing the throughput while maintaining a high level of accuracy.

Cell Adhesion Molecules↗

PubMed2005

Genetic analysis of BDNF and TrkB gene polymorphisms in Alzheimer's disease.

According to previous biochemical and genetic findings, brain-derived neurotrophic factor (BDNF), via activation of its tyrosine kinase receptor B (TrkB), is considered as a plausible candidate for contributing to Alzheimer's disease (AD). To examine the genetic association of BDNF and TrkB genes with AD, we genotyped multiple single nucleotide polymorphisms (SNPs) within these genes among 375 Finnish AD patients and 460 control subjects. Single locus and multi-loci haplotype association analyses of BDNF and TrkB gene SNPs did not reveal significant differences between unstratified AD and control groups. In the case of BDNF SNPs, different allele and haplotype frequencies were observed when 160 sporadic AD cases were compared with 460 control subjects. However, these differences did not remain statistically significant after multiple corrections. We conclude that BDNF and TrkB genes are not contributing significant risk effect among Finnish AD patients.

Adult↗