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Lack of support for the association between GAD2 polymorphisms and severe human obesity.

The demonstration of association between common genetic variants and chronic human diseases such as obesity could have profound implications for the prediction, prevention, and treatment of these conditions. Unequivocal proof of such an association, however, requires independent replication of initial positive findings. Recently, three (-243 A>G, +61450 C>A, and +83897 T>A) single nucleotide polymorphisms (SNPs) within glutamate decarboxylase 2 (GAD2) were found to be associated with class III obesity (body mass index > 40 kg/m2). The association was observed among 188 families (612 individuals) segregating the condition, and a case-control study of 575 cases and 646 lean controls. Functional data supporting a pathophysiological role for one of the SNPs (-243 A>G) were also presented. The gene GAD2 encodes the 65-kDa subunit of glutamic acid decarboxylase-GAD65. In the present study, we attempted to replicate this association in larger groups of individuals, and to extend the functional studies of the -243 A>G SNP. Among 2,359 individuals comprising 693 German nuclear families with severe, early-onset obesity, we found no evidence for a relationship between the three GAD2 SNPs and obesity, whether SNPs were studied individually or as haplotypes. In two independent case-control studies (a total of 680 class III obesity cases and 1,186 lean controls), there was no significant relationship between the -243 A>G SNP and obesity (OR = 0.99, 95% CI 0.83-1.18, p = 0.89) in the pooled sample. These negative findings were recapitulated in a meta-analysis, incorporating all published data for the association between the -243G allele and class III obesity, which yielded an OR of 1.11 (95% CI 0.90-1.36, p = 0.28) in a total sample of 1,252 class III obese cases and 1,800 lean controls. Moreover, analysis of common haplotypes encompassing the GAD2 locus revealed no association with severe obesity in families with the condition. We also obtained functional data for the -243 A>G SNP that does not support a pathophysiological role for this variant in obesity. Potential confounding variables in association studies involving common variants and complex diseases (low power to detect modest genetic effects, overinterpretation of marginal data, population stratification, and biological plausibility) are also discussed in the context of GAD2 and severe obesity.

Adolescent↗

Quantifying the relationship between gene expressions and trait values in general pedigrees.

Treating mRNA transcript abundances as quantitative traits and examining their relationships with clinical traits have been pursued by using an analytical approach of quantitative genetics. Recently, Kraft et al. presented a family expression association test (FEXAT) for correlation between gene expressions and trait values with a family-based (sibships) design. This statistic did not account for biological relationships of related subjects, which may inflate type I error rate and/or decrease power of statistical tests. In this article, we propose two new test statistics based on a variance-components approach for analyses of microarray data obtained from general pedigrees. Our methods accommodate covariance between relatives for unmeasured genetic effects and directly model covariates of clinical importance. The efficacy and validity of our methods are investigated by using simulated data under different sample sizes, family sizes, and family structures. The proposed LR method has correct type I error rate with moderate to large sample sizes regardless of family structure and family sizes. It has higher power with complex pedigrees and similar power to the FEXAT with sibships. The other proposed FEXAT(R) method is favorable with large family sizes, regardless of sample sizes and family structure. Our methods, robust to population stratification, are complementary to the FEXAT in expression-trait association studies.

Animals↗

Marker genotypes and population admixture and their association with body weight, height and relative body mass in United States federal bison herds.

Elucidating genetic influences on bison growth and body composition is of interest, not only because bison are important for historical, cultural, and agricultural reasons, but also because their unusual population history makes them valuable models for finding influential loci in both domestic cattle and humans. We tested for trait loci associated with body weight, height, and bison mass index (BMI) while controlling for estimated ancestry to reduce potential confounding effects due to population admixture in 1316 bison sampled from four U.S. herds. We used 60 microsatellite markers to model each phenotype as a function of herd, sex, age, marker genotypes, and individual ancestry estimates. Statistical significance for genotype and its interaction with ancestry was evaluated using the adaptive false discovery rate. Of the four herds, two appeared to be admixed and two were nonadmixed. Although none of the main effects of the loci were significant, estimated ancestry and its interaction with marker loci were significantly associated with the phenotypes, illustrating the importance of including ancestry in the models and the dependence of genotype-phenotype associations on background ancestry. Individual loci contributed approximately 2.0% of variation in weight, height, and BMI, which confirms the utility and potential importance of adjusting for population stratification.

Animals↗

ABCB1 genotype of the donor but not of the recipient is a major risk factor for cyclosporine-related nephrotoxicity after renal transplantation.

Cyclosporine (CsA) nephrotoxicity is a severe complication in organ transplantation because it leads to impaired renal function and chronic allograft nephropathy, which is a major predictor of graft loss. Animal models and in vivo studies indicate that the transmembrane efflux pump P-glycoprotein contributes substantially to CsA nephrotoxicity. It was hypothesized that the TT genotype at the ABCB1 3435C-->T polymorphism, which is associated with decreased expression of P-glycoprotein in renal tissue, is a risk factor for developing CsA nephrotoxicity. In a case-control study, 18 of 97 patients developed CsA nephrotoxicity and showed complete recovery of renal function in all cases when switched to a calcineurin inhibitor-free regimen. Both recipients and donors were genotyped for ABCB1 polymorphisms at the positions 3435C-->T and 2677G-->T/A. For controlling for population stratification, two additional polymorphisms, CYP2D6*4 and CYP3A5*3, with intermediate allelic frequencies were studied. The P-glycoprotein low expressor genotype 3435TT only of renal organ donors but not of the recipients was overrepresented in patients with CsA nephrotoxicity as compared with patients without toxicity (chi2 = 10.5; P = 0.005). CsA dosage, trough levels, and the concentration per dose ratio were not different between the patient groups. In a multivariate model that included several other nongenetic covariates, only the donor's ABCB1 3435TT genotype was strongly associated with CsA nephrotoxicity (odds ratio, 13.4; 95% confidence interval, 1.2 to 148; P = 0.034). A dominant role of the donor's ABCB1 genotype was identified for development of CsA nephrotoxicity. This suggests that P-glycoprotein is an important factor in CsA nephrotoxicity.

ATP Binding Cassette Transporter, Subfamily B, Mem↗

Polymorphism of the serotonin transporter: implications for the use of selective serotonin reuptake inhibitors.

Selective serotonin reuptake inhibitors (SSRIs) are used to treat a number of psychiatric disorders related to mood and anxiety, and variations in the serotonin transporter (5-HTT) gene may be involved in a number of these. A polymorphic site in the promoter region is associated with differences in 5-HTT gene expression. Studies suggest that the short allele of the 5-HTT promoter (5-HTTPR) site can adversely influence the antidepressant response to SSRIs, and is associated with anxiety-related traits, depression, and impulsive disorders such as alcohol abuse. Several studies do not replicate these findings; potential confounding factors include age, gender, and population stratification. Other 5-HTT polymorphisms also exist. For example, individuals with the short allele of a variable number of tandem repeats (VNTR) polymorphism, located in the second intron, may have reduced responsiveness to SSRIs, and the STin2.12 allele at this site has been associated with bipolar disorder. Findings both supporting and inconsistent with these conclusions are reviewed. The clinical effects of the polymorphisms may be associated with effects on platelets, neural 5-HTT levels, and indices of serotonergic function.

Alzheimer Disease↗

Identification of genes for a complex trait: examples from hypertension.

Essential hypertension (EH) affects approximately 20% of the adult population, and has a multifactorial origin arising from an interaction between susceptibility genes and environmental factors. Several strategies and methods have been used to identify hypertension susceptibility genes. This review is thought to highlight current strategies for a better understanding of their limitations and strengths in a complex trait like EH. Linkage analysis is less effective at identifying common variants with modest effects typical for complex traits, and has therefore proved to be largely unsuccessful in EH. No candidate gene was assessed by a human linkage study so far. Possible redesigns of the linkage approach for complex diseases may include larger sample sizes and dense marker maps. Genetic association studies may be an effective approach to the problems posed by complex traits. With the explosion of genotyping technologies, genome-wide association studies have become feasible, and small-scale association studies have become plentiful. The different types of association studies are reviewed and issues that are important to consider when interpreting association studies of complex traits are discussed. Properly defined phenotypes, large enough sample cohorts to achieve sufficient statistical power, carefully matched samples to avoid population stratification are all integral parts of a high-quality association study. Multiple testing often results in false-positive results by chance, and inconclusive results may arise from ignoring linkage disequilibrium of the tested polymorphism, an effect avoidable by haplotype analysis. A new evolutionary development of the candidate gene approach is introduced which will extent traditional association study settings gaining better understanding of complex diseases like hypertension and might give better chances to evaluate association studies for their functional relevance.

Genetic Linkage↗

Analysis of parent-offspring trios provides evidence for linkage and association between the insulin gene and type 2 diabetes mediated exclusively through paternally transmitted class III variable number tandem repeat alleles.

Variation at the variable number tandem repeat (VNTR) minisatellite 5' of the insulin gene (INS) is associated with several phenotypes, including type 1 diabetes, polycystic ovary syndrome, and birth weight. Case-control studies have suggested that class III VNTR alleles are also associated with type 2 diabetes, but results have been inconsistent and may reflect population stratification. To explore further the role of the INS-VNTR in type 2 diabetes susceptibility, we used family-based association methods in 155 parent-offspring trios from the British Diabetic Association-Warren Trios repository, each ascertained via a Europid proband with type 2 diabetes. Overall, there was no significant association between diabetes and the INS-VNTR genotype, with 65 of 119 heterozygous parents (55%) transmitting class III and 54 class I (P = 0.16, one-sided). However, whereas maternal transmissions followed Mendelian expectation, there was a marked excess of class III transmission from the 49 heterozygous fathers (34 [69%] vs. 15, P = 0.003 vs. 50% expectation, P = 0.003 vs. maternal transmission). These results confirm that variation within the TH-INS-IGF2 locus, most plausibly at the VNTR itself, influences type 2 diabetes susceptibility. By demonstrating that this effect is mediated exclusively by the paternally derived allele, these findings implicate imprinted genes in the pathogenesis of type 2 diabetes.

Adult↗

[Genetic epidemiology of obesity: family studies].

This review focuses on methodological aspects and main results of different family studies that have been conducted to assess the existence of a genetic contribution in human obesity. A genetic component in the etiology of obesity has been elucidated through specific study designs answering different research questions such as: a) Do obesity aggregate in families? b) Is there a genetic contribution to familial clustering? c) Is it possible to localize chromosomal regions that contain susceptibility genes to obesity? d) Is it possible to estimate the risk for developing obesity depending on the genotype profile in candidate genes? There are sufficient evidences indicating the existence of a moderate familial clustering of obesity defined as body mass index >/=30 with a stronger aggregation with more extreme values of body mass index. Twin studies have demonstrated that the familial aggregation of obesity has a genetic component and is not only due to cultural or environmental factors clustered in families. Linkage studies have identified markers and genes related to obesity in virtually all human chromosomes. However, some of these linkage studies have produced conflicting results. Discordant results are even more pronounced in case-control studies that evaluate the association between alleles at candidate genes and obesity. Topics related to study design will acquire increasing importance in order to avoid methodological problems related to trait definition, sample sizes, population stratification by ethnicity and other confounding factors.

Body Mass Index↗

Two-sample Mendelian randomization study of gut microbiota and inflammatory proteins: Predictive, preventive, and personalized treatment for migraine.

The human gut microbiota is increasingly recognized as a significant factor in the pathogenesis of migraine, potentially via inflammatory pathways. Identifying specific human gut microbiota components associated with migraines, along with the investigation of particular inflammatory proteins, is essential for advancing primary prediction, targeted prevention, and personalized treatment strategies for migraines. We conducted a two-sample Mendelian randomization study using publicly available summary statistics from genome-wide association studies. Data for 473 human gut microbiota taxa were obtained from the Finnish national health survey conducted by the National Institute for Health and Welfare study (FINRISK, n = 5959 European participants). Genome-wide association study data (https://www.ebi.ac.uk/gwas/) for 91 circulating inflammatory proteins were obtained from 14,824 participants across 11 cohorts using the Olink Target 96 Inflammation panel. Migraine outcome data were obtained from the FinnGen R12 release, with cases defined using ICD-10 code G43. All genome-wide association study analyses were adjusted for sex, age, genotyping batch, and 10 genetic principal components to control population stratification (genomic inflation factors: 1.00–1.05). Inverse variance-weighted Mendelian randomization was the primary analysis method, with Mendelian randomization-Egger, weighted median, and mode-based methods as sensitivity analyses. Two-step Mendelian randomization mediation analysis quantified the proportion of the effects of human gut microbiota on migraine that are mediated through inflammatory proteins. Thirty-seven bacterial genera were found to be associated with migraine using the inverse variance-weighted method. Of these, 18 genera exhibited a negative association, while 19 genera demonstrated a positive association with migraine risk. Additionally, eight inflammatory proteins were found to increase the risk of migraine. Among human gut microbiota, four were observed to reduce inflammatory protein levels, whereas another four were associated with increased inflammatory protein levels. Additionally, five gut microbiota were identified to influence migraine through inflammatory proteins in both Mendelian randomization analyses. Specifically, Actinobacteria, Brachyspiraceae, CAG-269 sp001915995, and Paraglaciecola were found to affect migraine outcomes via inflammatory proteins, with mediation proportions of 12%, 19%, 15.5%, and 6.7%, respectively. Lawsonibacter sp002161175 was identified to influence migraine risk through Oncostatin-M and SLAM, with mediation proportions of 15.6% and 11.3%, respectively. Our study elucidated the role of specific human gut microbiota alterations in the pathogenesis of migraine and highlighted the mediating effects of inflammatory proteins. Targeting these particular human gut microbiota alterations offers a promising strategy for predictive, preventive, and personalized medicine in migraine management, resulting in substantial clinical advancements.

causality↗

Complex structural variation, phylogeny, and disease associations of the mucin pangenome.

Mucins are large glycoproteins that provide hydration and barrier function to epithelial tissues. Although genetically heterogeneous, all mucins harbor a large exon composed of variable number tandem repeats (VNTRs). Short-read sequencing has limited our understanding of mucin VNTR diversity and makes disease association studies challenging. We leverage 296 long-read phased genome assemblies to characterize 14 mucin family members, achieving &#x2265;97% accuracy across 572 haplotypes. Phylogenetic haplogroup analysis reveals extraordinary structural heterozygosity, with MUC4 harboring the greatest allelic diversity (n=240 distinct lengths) and MUC12 the greatest size range (&#x394; = 55,233 bp; 23,080 amino acids). Ten mucins show significant population stratification (pFDR < 0.05). At the MUC4/MUC20 locus, we characterize higher-order structural variation, including a recurrent inversion, copy number variation, and interlocus gene conversion. Optimized genotyping achieves &#x2265;95% haplogroup concordance across 10 loci. We apply this to 4,637 deeply phenotyped cystic fibrosis patients and identify a significant association between short MUC1 VNTRs and severe disease (p=0.0056), demonstrating the pangenome's utility for complex locus genotyping and disease discovery.

Journal Article↗

Population studies of polymorphisms of the serotonin transporter protein gene.

The range of allele frequency variation in humans for any locus that may have functionally important genetic variation needs to be documented. Therefore, we tested two polymorphisms at the serotonin transporter protein locus (SLC6A4) in samples from seven specific populations from five continental regions. We studied the promoter polymorphism which is reported to have functional significance and to be associated with anxiety- and depression-related phenotypes [Lesch et al., 1996: Science 274:1527-1531], and the intron 2 VNTR polymorphism [Lesch et al., 1994: J Neural Transm 95:157-162]. Allele frequencies for both systems show significant global variation, and consequently so do haplotype frequencies. Linkage disequilibrium varied among the populations, being absent in some and highly significant in others. These differences further document a large potential for population stratification in association studies of either of these SLC6A4 polymorphisms.

Carrier Proteins↗

Trend for an association between schizophrenia and D3S1310, a marker in proximity to the dopamine D3 receptor gene.

There is considerable controversy regarding a putative association between schizophrenia and a biallelic BalI polymorphism in the first exon of the dopamine D3 receptor gene (DRD3), although meta-analyses of published data suggest an association. If such an association exists, it may be detectable at markers physically close to DRD3. Accordingly, we conducted a case-control association study using D3S1310, a short tandem repeat polymorphism located approximately 700 kb telomeric to DRD3 on chromosome 3q13.3. The subjects were Swedish patients with schizophrenia (DSM III-R criteria, n = 110) and screened adult controls (n = 83). A trend for a negative association with the 141 bp allele was detected (chi2 = 7.6, d.f. = 1, P = 0.006; odds ratio 0.46, 95% confidence intervals 0.26, 0.81). However, following corrections for multiple comparisons using subgroups (n = 15) the difference was not significant. Also, due to the risk for population stratification in case-control association studies the results must be treated as tentative. If replicated the results may lend further support for the proposition of an association between schizophrenia and DRD3 or a gene in close proximity to DRD3 on chromosome 3q.

Adult↗

Pooled genotyping of microsatellite markers in parent-offspring trios.

We studied the extent to which genotyping of simple sequence repeat polymorphisms (SSRs) in pooled DNA samples can be used to predict differences in allele frequencies between parents and their affected offspring. We also developed a simple method of correction for the effects of stutter and differential amplification on the analysis of SSRs in pooled DNA samples based on widely available software. We genotyped individually eight polymorphic microsatellite markers in 110 parent-offspring trios affected with bipolar affective disorder (BP). Analysis of pooled DNA samples predicted very accurately the differences in individual allele frequency distributions between children and their parents. The mean error was <1% (range 0%-3.2%) when marker-specific corrections for stutter and differential amplification were performed. We show that if an individual allele is significantly preferentially transmitted from parents to affected offspring, the difference in the frequency of that allele would be sufficiently large to be detected with pooling in most situations. We propose recommendations for disequilibrium mapping with pooling in which both case-control samples and trios are used in an initial screen and markers are genotyped individually only if they satisfy very relaxed criteria for statistical significance. The use of case-control samples should reduce the false-negative rate as the differences in allele frequencies between cases and controls are twice as high in the presence of the same genetic effect. The use of trios will confirm or reject any suggested differences, thus reducing the false-positive rate that can be created by hidden population stratification.

Bipolar Disorder↗

Lack of association between temporal lobe epilepsy and a novel polymorphism in the alpha 2 subunit gene (ATP1A2) of the sodium potassium transporting ATPase.

Genetic linkage studies in rodents and humans have identified specific chromosomal regions harboring seizure susceptibility genes. We have identified a novel polymorphism in the human alpha 2 subunit gene (ATP1A2) of the sodium potassium transporting ATPase (NaK-pump), a candidate gene for human temporal lobe epilepsy (TLE) based on its chromosomal location and function in ion homeostasis. The polymorphism consists of a four base pair insertion 12 base pairs upstream of the start of exon 2. We performed an association study between this polymorphism and TLE. Our study did not find a significant difference in the frequency of this polymorphism between TLE patients and controls, indicating that this variation is not a major susceptibility factor. However, since the number of patients studied so far is small and the functional consequence of the polymorphism is unknown, the variation may yet be found to play a minor role in increased risk for seizure susceptibility. In contrast to the findings in TLE patients and controls, we did find a significant difference in the frequency of the variation between African Americans and persons of European descent. This finding demonstrates the potential effect of population stratification on studies of this type and supports the growing use of parental and familial samples for controls in association studies. Further study of this polymorphism is warranted as it may be involved in other disease processes for which there are known ethnic-specific susceptibilities. Am. J. Med. Genet. (Neuropsychiatr. Genet.) 96:79-83, 2000.

Base Sequence↗

Localization of the pathogenic gene of Behçet's disease by microsatellite analysis of three different populations.

PURPOSE: Behçet's disease (BD) is known to be associated with HLA-B51 in many ethnic groups. However, the pathogenic gene responsible for BD is as yet unknown. To localize the critical region of the pathogenic gene, microsatellite markers distributed around the HLA-B gene were investigated. The BD patients studied were of three ethnic origins: Japanese, Greek, or Italian. METHODS: The total group consisted of 172 BD patients, of whom were 95 Japanese, 55 Greek, and 22 Italian. Eight polymorphic microsatellite markers distributed within 1100 kb of the HLA-B gene were analyzed using PCR and subsequent automated fragment detection by fluorescent-based technology. RESULTS: Among the eight markers, allele 348 of the MIB microsatellite was remarkably common in all three BD populations (Japanese, PC: = 0.000014; Greek, PC: = 0. 00047; Italian, PC: = 0.11). However, HLA-B51 was found to be the marker most strongly associated with BD in each population (Japanese, PC: = 0.000000000017; Greek, PC: = 0.00000032; Italian, PC: = 0. 0074). In genotypic differentiation between the patients and controls, only HLA-B51 was found to be significantly associated with BD in all three populations. Stratification analysis suggested that significant associations of BD with MICA and other microsatellites resulted from a linkage disequilibrium with HLA-B51. CONCLUSIONS: These results suggest that the pathogenic gene of BD is HLA-B51 itself and not other genes located in the vicinity of HLA-B.

Behcet Syndrome↗

Confirmation of an excess of the high enzyme activity COMT val allele in heroin addicts in a family-based haplotype relative risk study.

A previous case control study by Vandenbergh et al. [1997: Am J Med Genet 74:439-442] showed an association between the high activity catechol O-methyltransferase (COMT) polymorphism and polysubstance abuse in a group of North American subjects. In the current study we confirm these results by genotyping 38 Israeli heroin addicts and both parents using a robust family-based haplotype relative risk (HRR) strategy. There is an excess of the val COMT allele (likelihood ratio = 4.48, P = 0.03) and a trend for an excess of the val/val COMT genotype (likelihood ratio = 4.97, P = 0.08, 2 df) in the heroin addicts compared to the HRR control group. We also genotyped an additional 101 nonrelated heroin addicts and 126 control subjects using a case control design and found no significant difference in COMT val allele frequency (25.4% vs. 29.7%, likelihood ratio = 1.04, P = 0.31). A significant difference is observed in COMT allele frequency among the three principal Israeli ethnic groups (Ashkenazi Jewish, non-Ashkenazi Jewish, and Palestinian Arab) in a large group of control subjects we have so far examined (chi-square = 7.9, P = 0.019, df = 2, n = 1,422 alleles) suggesting that population stratification is responsible for our failure to observe an excess of the COMT val allele when using the case-control design.

Alleles↗

[Case-parental control study].

OBJECTIVE: To introduce the methodology on the design and statistical method as well as analysis of published data related to case-parental control study. METHODS: Data from a research on association between the human neural tube defects and the T allelic variant TIVS7-2 was analyzed by haplotype relative risk (HRR), genotype relative risk (GRR) and transmission/disequilibrium test (TDT) methods. RESULTS: Using the HRR method, HRR value was 1.33 (chi-square statistic is 1.4618 with P = 0.2266). The results of the GRR method showed that psi(1) value was 1.26 and psi(2) value was 0.98 (chi-square statistic is 3.1809 with 2 df, P = 0.2038). The transmission/disequilibrium test showed that TDT was 1.4516 with P = 0.2283. All results suggested that when a weak association of TIVS7-2 allele with neural tube defects was found, there was no evidence showing the statistical difference. CONCLUSION: The case-parental control design method avoids population stratification when parents used as controls. This method might be used to test the association between genes and disease, as well as to evaluate the gene environmental interaction.

Case-Control Studies↗

Nutritional status assessment during Alzheimer's disease: results after one year (the REAL French Study Group).

OBJECTIVES: Weight loss and malnutrition are frequent and serious complications of Alzheimer's disease. The aim of the present article was to describe the cognitive and behavioural characteristics of the test population within the frame of the PHRC REAL.FR cohort (for Réseau sur la Maladie d'Alzheimer Français), depending on their nutritional state, and to consider their evolution one year after the original inclusion. METHOD: The study population' stratification was done in three groups according to their Mini Nutritional Assessment (MNA) score: malnutrition group (MNA < 17.5), at risk of malnutrition group (MNA 17.5-23.5), and normal nutritional status group (MNA > or = 23.5). 561 patients were evaluated at inclusion time, 393 at one year. The evaluation included the following scales: Mini Nutritional Assessment (MNA), Mini Mental State Examination (MMSE), Activities Daily Living (ADL), Instrumental Activities Daily Living (IADL), Neuro Psychiatric Inventory (NPI) and Zarit scale (ZARIT). Comparison and descriptive analysis for each MNA group at baseline and at one year has been performed. RESULTS: at baseline, the well-nourished and the malnutrition risk groups are significantly different concerning age, IADL and NPI; the well-nourished and undernutrition groups are different concerning MMSE, NPI and Zarit; the malnutrition risk and undernutrition groups are only different concerning NPI. At one year, the well-nourished and the malnutrition risk and undernutrition groups are different concerning one lonely variable, the NPI, in a significant way. The comparison of the three groups between baseline and one-year evaluation demonstrate for the well-nourished group an aggravation of MMSE, ADL, IADL, NPI, for the malnutrition risk group of MMSE and IADL, and for the undernutrition group of MMSE, IADL and NPI. CONCLUSION: Among the patients suffering from Alzheimer's disease, the most malnutritioned worsen highly on cognitive and functional capacities. Furthermore, the nutritional aggravation seems strongly linked to behavioural disorders aggravation. The improvement of those disorders has therefore to be part of every improvement strategy applied to the nutritional status of the demented patients.

Activities of Daily Living↗