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Linkage disequilibrium and allele-frequency distributions for 114 single-nucleotide polymorphisms in five populations.

Single-nucleotide polymorphisms (SNPs) may be extremely important for deciphering the impact of genetic variation on complex human diseases. The ultimate value of SNPs for linkage and association mapping studies depends in part on the distribution of SNP allele frequencies and intermarker linkage disequilibrium (LD) across populations. Limited information is available about these distributions on a genomewide scale, particularly for LD. Using 114 SNPs from 33 genes, we compared these distributions in five American populations (727 individuals) of African, European, Chinese, Hispanic, and Japanese descent. The allele frequencies were highly correlated across populations but differed by >20% for at least one pair of populations in 35% of SNPs. The correlation in LD was high for some pairs of populations but not for others (e.g., Chinese American or Japanese American vs. any other population). Regardless of population, average minor-allele frequencies were significantly higher for SNPs in noncoding regions (20%-25%) than for SNPs in coding regions (12%-16%). Interestingly, we found that intermarker LD may be strongest with pairs of SNPs in which both markers are nonconservative substitutions, compared to pairs of SNPs where at least one marker is a conservative substitution. These results suggest that population differences and marker location within the gene may be important factors in the selection of SNPs for use in the study of complex disease with linkage or association mapping methods.

Alleles↗

Alpha-T-catenin is expressed in human brain and interacts with the Wnt signaling pathway but is not responsible for linkage to chromosome 10 in Alzheimer's disease.

The gene encoding alpha-T-catenin, CTNNA3, is positioned within a region on chromosome 10, showing strong evidence of linkage to Alzheimer's disease (AD), and is therefore a good positional candidate gene for this disorder. We have demonstrated that alpha-T-catenin is expressed in human brain, and like other alpha-catenins, it inhibits Wnt signaling and is therefore also a functional candidate. We initially genotyped two single-nucleotide polymorphisms (SNPs) in the gene, in four independent samples comprising over 1200 cases and controls but failed to detect an association with either SNP. Similarly, we found no evidence for association between CTNNA3 and AD in a sample of subjects showing linkage to chromosome 10, nor were these SNPs associated with Abeta deposition in brain. To comprehensively screen the gene, we genotyped 30 additional SNPs in a subset of the cases and controls (n > 700). None of these SNPs was associated with disease. Although an excellent candidate, we conclude that CTNNA3 is unlikely to account for the AD susceptibility locus on chromosome 10.

Aged↗

A polymorphism in the TCF7 gene, C883A, is associated with type 1 diabetes.

Type 1 diabetes is an autoimmune disease with a Th1 phenotype in which insulin-producing beta-cells in the pancreas are destroyed. The T-cell-specific transcription factor TCF7 activates genes involved in immune regulation and is a candidate locus for genetic susceptibility to type 1 diabetes. A nonsynonymous single nucleotide polymorphism (SNP) (Pro to Thr) in the TCF7 gene, C883A, was examined in samples from 282 Caucasian multiplex type 1 diabetic families. HLA-DRB1 and -DQB1 genotypes were previously determined for these samples, allowing data stratification based on HLA-associated risk. The transmission disequilibrium test showed significant overtransmission of the A allele from fathers (64.1%, P < 0.007) and nonsignificant overtransmission (57.4%, P < 0.06) of the A allele to patients who do not carry the highest-risk HLA-DR3/DR4 genotype. Elliptical sib pair analysis showed significant associations of the A allele with type 1 diabetes in paternal transmissions (P < 0.03), transmissions to male children (P < 0.04), and in the non-DR3/DR4 group (P < 0.04). These data also suggest that TCF7 C883A may affect age of disease onset. Analysis of genotype data from surrounding SNPs suggests that this TCF7 polymorphism may itself represent a risk factor for type 1 diabetes.

Adenine↗

Synonymous SNPs provide evidence for selective constraint on human exonic splicing enhancers.

The human SNP database was used to detect selection on 238 hexamers previously identified as exonic splicing enhancers (ESEs). We compared the distribution of the 238 putative ESEs in biallelic and triallelic SNPs within five different functional categories of the SNP database: synonymous, nonsynonymous, introns, UTRs, and nongenic SNPs. Since true ESEs do not function outside of exons, SNPs that disrupt ESE motifs were expected to be more common in nonexonic portions of the genome. Our results supported this expectation: ESEs were least prevalent within synonymous SNPs and most common in nongenic SNPs. There were approximately 11% fewer ESEs within synonymous biallelic SNPs than expected under no selective constraint. We also compared the frequency of neutral SNPs, those where neither allele was an ESE, with deleterious SNPs, those where one or more alleles was an ESE, across the five different functional classes of SNPs. In comparison with the other functional classes of SNPs, synonymous SNPs contained an excess of neutral variants (+1.64% and +6.04% for biallelic and triallelic SNPs, respectively) and a dearth of deleterious variants (-13.11% and -52.39% for biallelic and triallelic SNPs, respectively). The observed patterns were consistent with purifying selection on the 238 hexamers to maintain their function as ESEs. However, in contrast to previous work, we did not find evidence for selection to maintain ESE function at nonsynonymous SNPs because selection at the protein level probably obscured any difference at the level of ESE function.

Alternative Splicing↗

[Single nucleotide polymorphisms of the myocilin gene in primary open-angle glaucoma patients].

OBJECTIVE: To detect single nucleotide polymorphisms (SNPs) of the myocilin (MYOC) gene and to investigate their associations with primary open-angle glaucoma (POAG). METHODS: One hundred and fifty-seven sporadic patients with POAG and 155 unrelated control subjects without POAG were recruited from staff and visitors to the Prince of Wales Hospital between 1998 and 2000. All study subjects are ethnic Chinese living in Hong Kong. The two populations were matched in frequencies of gender and age. The SNPs of the MYOC gene in POAG patients and control subjects were screened and identified by high throughout conformation sensitive gel electrophoresis and fluorescent labeling automated sequencing. The genotype frequencies of each SNP in the two groups were compared by the Chi2 test or Fisher's exact 2-tailed test. RESULTS: A total of seventeen SNPs were identified from 2172 bp long of the MYOC gene, including all 3 exons and adjacent non-coding regions. The identified SNPs were 1-83G --> A, G12R, P16L, A17S, R46X, R76K, R91X, T123T, D208E, L215P, 730+35A --> G, A260A, I288I, E300K, T353I, Y471C and 1515+73G --> C, respectively. Of these, R91X, E300K and Y471C were found only in POAG patients. A significant difference between POAG patients and control subjects was found in the genotype frequencies of 1515+73G --> C. The frequency of the heterozygote (CG) was 0.6% in POAG patients, significantly less than the 4.5% in control subjects (Fisher's exact 2-tailed test, P=0.036, OR=0.136, 95%CI=0.022-0.828). No significant difference was found between the two populations in genotype frequencies of all other SNPs. CONCLUSION: The polymorphisms of the MYOC gene may be related to POAG.

Adult↗

Genetic polymorphisms in the transforming growth factor beta-induced gene associated with BMI.

In an effort to identify genetic polymorphisms in potential candidate genes for type 2 diabetes mellitus (T2DM), we have sequenced the transforming growth factor beta-induced gene (TGFBI), and examined the association with T2DM and diabetic phenotypes in a Korean T2DM study (775 T2DM patients and 316 normal controls). Twenty-eight polymorphisms were identified in TGFBI. Although no significant associations were detected with the risk of T2DM, one SNP in intron 16 (c.2011+137C>T) and one SNP in the 3' untranslated region (UTR) (c.2589T>G), showed significant association with the levels of insulin and body mass index (BMI) among nondiabetic controls. The lower insulin and BMI were observed in individuals who carry one or two copies of minor alleles than others. For example, the highest BMI (24.21 kg/m(2)) in individuals with homozygote major alleles (T) of c.2589T>G (n=99), the intermediate BMI (23.68 kg/m(2)) in individuals with heterozygote alleles (n=156), and the lowest BMI (22.69 kg/m(2)) in individuals with homozygote minor alleles (G) (n=57, P=0.005) were observed. The present study provides, for the first time, information about genetic polymorphisms in TGFBI and positive associations of those polymorphisms with levels of insulin and BMI in the Korean population.

3' Untranslated Regions↗

Long-term response to lithium salts in bipolar illness is influenced by the glycogen synthase kinase 3-beta -50 T/C SNP.

The molecular mechanisms driving the biological clock in the suprachiasmatic nucleus of the hypothalamus may play a role in mood disorders. A single nucleotide polymorphism (SNP) (-50 T/C) falling into the effective promoter region (nt -171 to +29) of the gene coding for glycogen synthase kinase 3-beta (GSK3-beta) has been linked with different age at onset of bipolar illness and with different antidepressant effects of total sleep deprivation. GSK3-beta codes for an enzyme which is a target for the action of lithium and possibly of valproic acid. We studied the effect of this polymorphism on the therapeutic response to lithium salts of 88 bipolar type I patients. Data about recurrence rate of mood episodes were collected for at least 2 years before lithium and 2 years on lithium. Results showed that homozygotes for the wild variant did not change their recurrence index while carriers of the mutant allele improved, thus supporting the hypothesis that GSK is a target for the therapeutic action of lithium. Results warrant interest for the variants of genes pertaining to the molecular clock as possible endophenotypes of bipolar disorder, but caution ought to be taken in interpreting these preliminary results and future replication studies must be awaited because of the low frequency of the GSK3-beta*C/C genotype in the studied populations.

Adult↗

Donor methylenetetrahydrofolate reductase genotype is associated with graft-versus-host disease in hematopoietic stem cell transplant patients treated with methotrexate.

Methotrexate (MTX), used as a graft-versus-host disease (GvHD) prophylactic agent in hematopoietic stem cell transplantation (HSCT), exerts its effect via folate cycle inhibition. A critical enzyme involved in folate metabolism is 5,10-methylenetetrahydrofolate reductase (MTHFR). We examined the association of a single nucleotide polymorphism (SNP) at position 677 in the MTHFR gene on GvHD outcomes in allogeneic HSCT patients administered MTX. MTHFR genotyping was performed by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) on 193 HSCT patients and donors. A total of 140 patients were transplanted with an HLA-matched related donor and 53 with an unrelated donor. GvHD outcomes were compared between genotypes by univariate and multivariate analysis. The combined donor 677CT and TT genotypes were associated with a decreased incidence of GvHD (acute and chronic combined) in HSCT recipients with an HLA-matched related donor (75% at 1 year in the CT and TT group compared with 91% in the wild type CC group, P=0.01), increased time to onset of first GvHD (P=0.001) and time to first GvHD treated with systemic therapy (P=0.022). Unrelated donor MTHFR genotype was not associated with outcome parameters and no associations of recipient genotype in either related or unrelated donor cohorts were observed.

Adolescent↗

Inference of missing SNPs and information quantity measurements for haplotype blocks.

MOTIVATION: Missing data in genotyping single nucleotide polymorphism (SNP) spots are common. High-throughput genotyping methods usually have a high rate of missing data. For example, the published human chromosome 21 data by Patil et al. contains about 20% missing SNPs. Inferring missing SNPs using the haplotype block structure is promising but difficult because the haplotype block boundaries are not well defined. Here we propose a global algorithm to overcome this difficulty. RESULTS: First, we propose to use entropy as a measure of haplotype diversity. We show that the entropy measure combined with a dynamic programming algorithm produces better haplotype block partitions than other measures. Second, based on the entropy measure, we propose a two-step iterative partition-inference algorithm for the inference of missing SNPs. At the first step, we apply the dynamic programming algorithm to partition haplotypes into blocks. At the second step, we use an iterative process similar to the expectation-maximization algorithm to infer missing SNPs in each haplotype block so as to minimize the block entropy. The algorithm iterates these two steps until the total block entropy is minimized. We test our algorithm in several experimental data sets. The results show that the global approach significantly improves the accuracy of the inference. AVAILABILITY: Upon request.

Algorithms↗

Association of leptin gene polymorphisms with serum leptin concentration in dairy cows.

Leptin is a hormone produced by adipocytes, and its expression is regulated by body fatness and energy balance. This study describes the association of four leptin gene polymorphisms in dairy cows (R4C, A59V, RFLP1, and BM1500) with circulating leptin concentrations during the periparturient period. A59V is located at a between-species conserved region of leptin, and R4C might have effect on the tertiary structure of the leptin protein because of the presence of an extra cystein. RFLP1 is an intronic SNP and BM1500 is a microsatellite located 3.6 kb downstream of the leptin locus. The four polymorphisms were genotyped in 323 HF heifers with known pedigree. Leptin concentrations were determined biweekly from 30 days before until 80 days after parturition. The effect of genotype on leptin concentrations was modeled by fitting a spline in ASREML describing leptin concentrations as a function of days relative to parturition for each genotype/allele. Surprisingly, associations were found during pregnancy, but not during lactation. This indicates that the polymorphism could be more effective during pregnancy. If further studies demonstrate that more leptin-binding protein (Ob-Re) is present in this stage, it is hypothesized that a structural difference in the leptin protein could cause a sub-optimal binding stringency to Ob-Re. Free leptin could be cleared faster than bound leptin, and this could result in lower leptin concentrations during pregnancy for the polymorphism. The effects found might be ascribed to R4C. However, more study on the Ob-Re receptor, like binding stringencies between R4C and wild-type leptin and glycosylation during pregnancy, would provide more insight in the results found.

Animals↗

Genotyping African haplotypes in ATM using a co-spotted single-base extension assay.

Human genetic analysis, including population genetic studies, increasingly calls for cost-effective, high-throughput methods for the rapid screening of single nucleotide polymorphisms (SNPs) across many individuals. The modified single-base extension assay described here (arrayed SBE) is a highly accurate and robust method for SNP genotyping that can deliver genotypes at 3.5 cents each, following PCR. Specifically, amino-modified probe/target pairs were prehybridized, then co-spotted in a microarray format prior to enzymatic addition of allele-specific nucleotides. Probe/target identity was determined solely by its physical location on the array rather than by hybridization to a complementary target, resulting in a call rate of 99-100%. These innovations result in an inexpensive, accurate assay with exceptional signal-to-noise ratios, depending on the glass surface employed. Comparison of glass slides from three different manufacturers indicated that aldehyde-based Zyomyx slides provided superior performance for this assay. Arrayed SBE was applied to study the geographic distribution of three African-specific haplotypes in the human ATM gene. Four selectively neutral markers, which define the haplotypes H5, H6, and H7, were screened in a total of 415 individuals. Region-specific haplotype frequencies were consistent with patterns of human migration across and outside of Africa, suggesting a possible haplotype origin in East Africa. Arrayed SBE was a robust tool for this analysis that could be applied to any situation requiring the genotyping of a few SNPs in many individuals.

Africa, Eastern↗

Isoforms and single nucleotide polymorphisms of the FSH receptor gene: implications for human reproduction.

The FSH receptor shows three single nucleotide polymorphisms (SNPs), one in the promoter and two in exon 10. In addition, the FSH receptor mRNA undergoes extensive alternative splicing. While no physiological role for the SNP in the promoter and for alternative spliced isoforms has been demonstrated so far, the SNPs in exon 10 result in four discrete allelic variants characterized by the amino acid combinations Thr307-Asn680, Ala307-Ser680, Ala307-Asn680 and Thr307-Ser680. Several studies have demonstrated that the first two allelic variants are very frequent (approximately 60 and 40% respectively) in the Caucasian population. The rarer Ala307-Asn680 and Thr307-Ser680 variants are much less frequent (<5%) in the Chinese. In males the FSH receptor variants are not related to testicular volume, serum FSH or serum inhibin B levels. The two most common receptor variants transiently transfected in COS-7 cells displayed similar functional characteristics. Frequency distribution of the two polymorphisms in normal women and patients with polycystic ovarian syndrome or premature ovarian failure is still under investigation. The homozygous Ala307-Ser680 variant seems to be associated with significantly higher basal serum FSH levels and with a higher amount of FSH required for ovarian stimulation in women undergoing assisted reproduction. This suggests that the FSH receptor genotype can influence the ovarian response to FSH stimulation. The presence of SNPs in the FSH receptor gene capable of modifying FSH action paves the way for future patient-tailored, genotype-based hormone therapies.

Alleles↗

Matrix-assisted laser desorption/ionisation, time-of-flight mass spectrometry in genomics research.

The beginning of this millennium has seen dramatic advances in genomic research. Milestones such as the complete sequencing of the human genome and of many other species were achieved and complemented by the systematic discovery of variation at the single nucleotide (SNP) and whole segment (copy number polymorphism) level. Currently most genomics research efforts are concentrated on the production of whole genome functional annotations, as well as on mapping the epigenome by identifying the methylation status of CpGs, mainly in CpG islands, in different tissues. These recent advances have a major impact on the way genetic research is conducted and have accelerated the discovery of genetic factors contributing to disease. Technology was the critical driving force behind genomics projects: both the combination of Sanger sequencing with high-throughput capillary electrophoresis and the rapid advances in microarray technologies were keys to success. MALDI-TOF MS-based genome analysis represents a relative newcomer in this field. Can it establish itself as a long-term contributor to genetics research, or is it only suitable for niche areas and for laboratories with a passion for mass spectrometry? In this review, we will highlight the potential of MALDI-TOF MS-based tools for resequencing and for epigenetics research applications, as well as for classical complex genetic studies, allele quantification, and quantitative gene expression analysis. We will also identify the current limitations of this approach and attempt to place it in the context of other genome analysis technologies.

Animals↗

SNiPer: improved SNP genotype calling for Affymetrix 10K GeneChip microarray data.

BACKGROUND: High throughput microarray-based single nucleotide polymorphism (SNP) genotyping has revolutionized the way genome-wide linkage scans and association analyses are performed. One of the key features of the array-based GeneChip Mapping 10K Array from Affymetrix is the automated SNP calling algorithm. The Affymetrix algorithm was trained on a database of ethnically diverse DNA samples to create SNP call zones that are used as static models to make genotype calls for experimental data. We describe here the implementation of clustering algorithms on large training datasets resulting in improved SNP call rates on the 10K GeneChip. RESULTS: A database of 948 individuals genotyped on the GeneChip Mapping 10K 2.0 Array was used to identify 822 SNPs that were called consistently less than 75% of the time. These SNPs represent on average 8.25% of the total SNPs on each chromosome with chromosome 19, the most gene-rich chromosome, containing the highest proportion of poor performers (18.7%). To remedy this, we created SNiPer, a new application which uses two clustering algorithms to yield increased call rates and equivalent concordance to Affymetrix called genotypes. We include a training set for these algorithms based on individual genotypes for 705 samples. SNiPer has the capability to be retrained for lab-specific training sets. SNiPer is freely available for download at http://www.tgen.org/neurogenomics/data. CONCLUSION: The correct calling of poor performing SNPs may prove to be key in future linkage studies performed on the 10K GeneChip. It would prove particularly invaluable for those diseases that map to chromosome 19, known to contain a high proportion of poorly performing SNPs. Our results illustrate that SNiPer can be used to increase call rates on the 10K GeneChip without sacrificing accuracy, thereby increasing the amount of valid data generated.

Algorithms↗

No direct effect of the -521 C/T polymorphism in the human dopamine D4 receptor gene promoter on transcriptional activity.

BACKGROUND: The human dopamine D4 receptor (DRD4) gene has been studied extensively as a candidate gene for certain psychological traits and several behavioural and psychiatric disorders. Both the 5' regulatory region and the coding sequence contain a number of polymorphisms. The promoter variants have received particular attention in the past few years due to their possible role in the regulation of gene transcription. Previously, the -521C/T SNP was shown to influence promoter activity. The aim of this study is to perform an in-depth analysis of this effect in the context of various neural cell lines. RESULTS: Endogenous mRNA expression of the DRD4 gene was demonstrated in two neuroblastoma (SK-N-F1, IMR32) and one retinoblastoma cell line (Y79) by RT-PCR. In addition, very low DRD4 mRNA levels were also detected in HeLa cells. The transcriptional activity of a series of 5' promoter deletion mutants was determined by transient transfection of luciferase reporter constructs. The activity profile of these promoter fragments was similar in each of the cell lines tested. The highest luciferase reporter activity was obtained with a construct containing promoter sequences between nucleotides -668 to -389, while a putative silencer region was localised spanning from nucleotide -1571 to -800. Surprisingly, the -521 C/T polymorphism had no significant effect on transcriptional activity of the reporter construct with the highest activity (-668 to -389) in any of the three cell lines tested. CONCLUSION: Our results do not confirm previous data assigning different transcriptional activities to the -521 C/T alleles of the human DRD4 promoter. Furthermore, these findings highlight the need for further characterization of the 5' regulatory region of the DRD4 gene and identification of additional functional promoter polymorphic sites, especially in the context of haplotype.

Cell Line, Tumor↗

Large-scale SNP scoring from unamplified genomic DNA.

Discoveries from the Human Genome Project (HGP) continue to spur changes in medical technology that will lead to new diagnostic procedures in the clinical lab. As more single nucleotide polymorphisms (SNPs) are discovered and correlated to human diseases, demands for genetic tests will increase. The enormity of the number of SNPs makes developing inexpensive and reliable high-throughput methods for SNP scoring imperative. High-throughput screening (HTS) means, at a minimum, a production rate of thousands of assays per day. Ideally, the technology will be easy, inexpensive and amenable to automation. The Invader assay offers a simple diagnostic platform to detect single nucleotide changes with high specificity and sensitivity from unamplified, genomic DNA. The Invader assay uses a structure-specific 5' nuclease (or flap endonuclease) to cleave sequence-specific structures in each of two cascading reactions. The cleavage structure forms when two synthetic oligonucleotide probes hybridise in tandem to a target. One of the probes cycles on and off the target and is cut by the nuclease only when the appropriate structure forms. These cleaved probes then participate in a second Invader reaction involving a dye-labelled fluorescence resonance energy transfer (FRET) probe. Cleavage of this FRET probe generates a signal, which can be readily analysed by fluorescence microtitre plate readers. The two cascading reactions amplify the signal significantly; each original target molecule can lead to more than 10(6) cleaved signal probes in one hour. This signal amplification permits identification of single base changes directly from genomic DNA without prior target amplification. The sequences of the oligonucleotide components of the secondary reaction are independent of the target of interest and permit the development of universal secondary reaction components useful to identify any target.

DNA↗

Distribution of the functional MDR1 C3435T polymorphism in the Han population of China.

PRINCIPLES: 3435C>T, a single nucleotide polymorphism (SNP) in exon 26 of the MDR1 gene, is linked to the variability of P-gp expression and function among different individuals. It was found that ethnic differences exist in the polymorphism of the MDR1(C3435T) gene. However, the distribution of 3435C>T genotypes in the Chinese Han population is not clear up till now. METHODS: In this study, the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) assay was applied to assess 3435C>T genotypes in 265 healthy individuals of the Han population of China. RESULTS: The genotype frequencies were: CC 32% (n = 85), CT 48% (n = 127) and TT 20% (n = 53). C and T allele frequencies were 0.56 and 0.44 respectively. The C allelic frequency for female was 56.5% (T: 43.5%), and 55.9% (T: 44.1%) for male. CONCLUSIONS: There was no significant difference between females and males (p = 0.92, OR = 1.02, 95%CI: 0.67-1.57) in the present study. The frequency of C-allele was similar to that of some populations in Asia/Europe and was lower than that of populations in Africa. When compared with the study on Singapore-Chinese, some differences were found. The results of this study would be useful for individualised therapy of some diseases, and could have a prognostic implication for the Chinese Han population.

Adult↗

Gene-based analysis suggests association of the nicotinic acetylcholine receptor beta1 subunit (CHRNB1) and M1 muscarinic acetylcholine receptor (CHRM1) with vulnerability for nicotine dependence.

Based on our previously identified linkage regions for nicotine dependence (ND), we selected six and five single nucleotide polymorphisms (SNPs) in the muscarinic cholinergic receptor subtype M1 (CHRM1) and nicotinic cholinergic receptor beta1 (CHRNB1), respectively, to determine the association of the two genes with ND in a total of 2,037 subjects from 602 nuclear families of either African-American (AA) or European-American (EA) origin. Individual SNP- and/or haplotype-based analyses indicated that the CHRNB1 was significantly associated with ND, which was assessed by smoking quantity (SQ), the Heaviness of Smoking Index (HSI), and the Fagerström Test for ND (FTND), in both ethnic samples. The association of rs2302763 in the CHRNB1 was significant with adjusted SQ in the EA sample after correction for multiple testing (P=0.013). Haplotype A-T-A formed by SNPs rs2302765, rs2302762, and rs9217 in the CHRNB1 was significantly associated with the high risk allele for all the three ND measures (minimum P=0.009, 0.006, and 0.008 for SQ, HSI and FTND, respectively) in the AA sample while haplotype A-T-A formed by rs2302765, rs2302763, and rs9217 was significantly positively associated with ND (minimum P=0.005, 0.016, and 0.016 for SQ, HSI and FTND, respectively) in the EA sample. The CHRM1 exhibited significant protective associations of haplotype C-C-A-T-G-G formed by all six SNPs of this gene with at least one ND measure in the AA sample after Bonferroni correction (minimum P=0.008, 0.013, and 0.009 for SQ, HSI and FTND, respectively), but no significant association was found in the EA sample. The significant associations, together with their location of linked region to ND, suggest that the CHRNB1 and CHRM1 are likely candidates for further investigation.

Adult↗