Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to sign up for SAGE Journal Email Alerts today!

Sign In to gain access to subscriptions and/or personal tools.
Journal of Dental Research
This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Diehl, S.R.
Right arrow Articles by Schenkein, H.A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Diehl, S.R.
Right arrow Articles by Schenkein, H.A.
Right arrowPubmed/NCBI databases
*Substance via MeSH
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Clinical

Evidence of a Substantial Genetic Basis for IgG2 Levels in Families with Aggressive Periodontitis

S.R. Diehl1,*, T. Wu1, J.A. Burmeister2, J.V. Califano2, C.N. Brooks2, J.G. Tew2 and H.A. Schenkein2

1 Center for Pharmacogenomics and Complex Disease Research, New Jersey Dental School, UMDNJ, 185 South Orange Ave, MSB C-636, Newark, NJ 07101-1709; and
2 Clinical Research Center for Periodontal Diseases, School of Dentistry, Virginia Commonwealth University, Richmond, VA 23298;

Correspondence: * corresponding author, diehlsr{at}umdnj.edu


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS & METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
IgG2 is elevated in localized but not in generalized aggressive periodontitis (AgP). Exposure to pathogenic bacteria is essential for disease. Immune responses are dominated by IgG2 reactive with bacterial surface carbohydrates. We used variance component analyses to assess IgG2 heritability and determine whether genes that influence IgG2 are the same genes that influence disease susceptibility. We studied 17 Caucasian and 43 African American families with two or more localized or generalized AgP-affected members (274 subjects with IgG2 measurements). Only 16% of the variance in IgG2 was attributable to age, race, and smoking. Even with the addition of localized AgP, the model still explained only 19% of IgG2 variance. By contrast, heritability of IgG2 levels was estimated to be 38% and highly significant (P = 0.0006), demonstrating a substantial genetic basis. Bi-trait variance component analyses of IgG2 and quantitative measures of AgP indicate that different genes appear to control IgG2 levels and disease susceptibility.

Key Words: heritability • variance components • genetic correlation • host susceptibility • antibody response


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS & METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Only a few bacteria species are considered primary agents of disease initiation in aggressive periodontitis (AgP) (Haffajee and Socransky, 1994). Through the action of their toxins, enzymes, or other virulence factors, these bacteria may directly damage periodontal tissues. In some subjects, host immune responses eliminate the infection. In others, however, bacteria persist in large numbers in subgingival biofilms and tissues, and the immune system produces a hyperinflammatory response that results in much greater destruction of periodontal tissues (Offenbacher, 1996).

AgP aggregates in families, and this suggests that genetic variations in host responses play an important role in disease susceptibility (Schenkein, 2002). It is likely that AgP has a complex etiology, with interactions of multiple susceptibility genes and environmental factors (Diehl and White, 2001).

A major portion of antibody to periodontitis-associated bacteria is of the IgG2 subclass and is reactive with serotype-specific carbohydrate antigens (Wilson and Hamilton, 1992; Lu et al., 1994). Individuals affected by localized AgP have elevated serum IgG2 levels (Zhang et al., 1996). High levels of IgG2 reactive with serotype-specific antigen of A. actinomycetemcomitans correlate with less severe disease in generalized AgP (Califano et al., 1996). These findings suggest that genetic differences in AgP susceptibility may be mediated by antibody responses. A segregation analysis of IgG2 in families with one or more AgP-affected members suggested that IgG2 levels are controlled by a single gene (Marazita et al., 1996). However, studies of other antibodies, such as IgE, indicated that the response is controlled by multiple genes (Mathias et al., 2001).

Smoking is associated with reduced IgG2, but this appeared to involve interaction of race, localized vs. generalized AgP (Quinn et al., 1996), and possibly also IgG allotypes (Gunsolley et al., 1997). The association with allotypes was not confirmed in another study (Colombo et al., 1998).

Recent advances in algorithms and software allow variance component analysis of quantitative traits to be applied to extended human pedigrees (Almasy and Blangero, 1998). After adjusting for covariates such as age, sex, and smoking, one can use the patterns of similarity among family members to partition the residual variance between an "environmental" component and that which aggregates within families. The latter is formally called "heritability", although studies of twins or molecular markers are needed to rule out other causes of similarity among close relatives. This method enables us to evaluate realistic models of complex inheritance involving multiple genetic and environmental factors.

We applied variance component analysis to 60 families with two or more members affected by localized or generalized AgP. We estimated heritability of IgG2 and effects of age, race, sex, smoking, and the diagnosis of localized AgP. We also applied variance component analyses to quantitative measures of AgP [means of attachment loss (AL) for various groups of teeth] and to smoking, an established risk factor for periodontitis (Albandar and Rams, 2002). Our aim was to determine whether these traits have a heritable basis and, if so, whether genes that influence IgG2 are the same genes that control AgP susceptibility or smoking behavior.


    MATERIALS & METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS & METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Clinical Study Sample
We recruited 17 Caucasian and 43 African American families for a study of the genetic basis of susceptibility to AgP. Probands were referred to the Clinical Research Center for Periodontal Disease from School of Dentistry Clinics at Virginia Commonwealth University or by clinicians in the Richmond, Virginia, area. Families were chosen for participation based on finding multiple cases of AgP among first-, second-, or third-degree relatives of the proband. In all, 79 periodontally healthy, 51 localized AgP-affected, 83 generalized AgP-affected, 55 chronic periodontitis, and six edentulous subjects with periodontitis history unknown were evaluated for IgG2. Individual family members were excluded if diabetes or another systemic disorder known to be associated with periodontitis was present. The protocol was reviewed and approved by an Institutional Review Board at Virginia Commonwealth University, and informed consent was obtained from all study subjects.

Details about recruitment of the clinical sample and methods of diagnosis are reported elsewhere (Diehl et al., 1999). In brief, calibrated examiners measured AL at 4 locations on each tooth (lingual, buccal, proximal, and distal). As in most studies of AgP, we summarized these quantitative measures of AL and classified subjects as healthy, localized AgP, generalized AgP, or chronic periodontitis (Diehl et al., 1999). In addition, however, we also analyzed AgP as a quantitative trait and conducted bi-trait variance component analyses to determine whether or not the host response genes that influence IgG2 are the same genes that influence susceptibility to AgP. We first selected the maximum AL measurement obtained for each tooth from among the 4 measurements taken. We then calculated means across the individual teeth, either for all teeth or for subsets of teeth, such as only incisors or only first molars. We then analyzed these quantitative variables jointly with the subjects’ antibody levels to assess whether or not the same genetic and environmental factors influence their variation.

Laboratory Assays
Serum IgG2 levels were measured as described previously (Lu et al., 1993). To identify current tobacco users, we analyzed serum cotinine by double-antibody radioimmunoassay methods (Double Antibody Nicotine Metabolite, Diagnostic Products Corporation, Los Angeles, CA, USA) (Quinn et al., 1998). Cotinine measures were strongly bimodal, with most subjects having concentrations well above or well below 75 ng/mL. Therefore, we used a cut-off point of > 75 ng/mL to classify subjects as smokers.

Statistical Analyses
We conducted variance component analyses using the SOLAR computer program (Almasy and Blangero, 1998). We used release 1.7.3/1.7.4 for analyses of single traits and beta version 2.0.1 for bi-trait analyses. This method is sensitive to deviations from normality, especially values of kurtosis greater than 1.0. The original IgG2 data exhibited a kurtosis of 1.65 and skewness of 1.08. We square-root-transformed the data, reducing kurtosis and skewness to 0.45 and 0.32, respectively, and performed all statistical analyses using the transformed data. However, for ease of interpretation, Figs. 1AGo and 1BGo will present total IgG2 (µg/mL) without transformation (as indicated in the caption). We did this by squaring the values of the dependent variable obtained from the model. Covariates evaluated included age, age-squared, sex, race [African American (black) or Caucasian (white)], and smoking (coded as a binary "yes or no" trait). Localized AgP disease status was also included as a binary covariate and tested because of previous reports that IgG2 is elevated in localized AgP, but not in healthy subjects or in generalized AgP.


Figure 1
View larger version (28K):
[in this window]
[in a new window]

 
Figure 1. Antibody levels by age, race, sex, and smoking status. (A) IgG2 antibody levels (µg/mL) predicted at different ages by the linear equation modeled in the variance component analysis based on all subjects combined (periodontally healthy and diseased). Predicted IgG2 levels are presented separately for black and white races, females and males, and smokers and non-smokers. Points on the lines represent predicted values for individual subjects within the group represented by the line, plotted at the subject’s actual age at the time of IgG2 measurement. The lines are curved because we included the statistically significant age-squared term in the model. (B) IgG2 levels (µg/mL) in localized AgP subjects.

 
Bi-trait analyses of IgG2 and AgP, or IgG2 and smoking, estimated genetic and environmental correlations between these pairs of traits. The bi-trait analysis is available only for quantitative variables, so we analyzed AgP using means of AL for different groups of teeth, such as incisors and first molars. AL measures did not exhibit kurtosis greater than 1.0 and thus were not transformed. The localized AgP covariate was not included in these analyses. Smoking was analyzed as the quantitative measure of serum cotinine, square-root-transformed to reduce kurtosis.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS & METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Heritability and Demographic, Smoking, and Localized AgP Effects
Differences among individuals in serum IgG2 levels show strong familial aggregation. We estimated heritability of IgG2 to be 38.2% (P = 0.0006) in a model that included demographic factors and smoking but without a parameter for localized AgP (Table 1Go). Although statistically significant, these covariates together accounted for only 16.4% of the variance in IgG2. When localized AgP was included, this parameter was significant (P = 0.002), heritability was slightly higher (39.1%, P = 0.0005), and the significance levels of the other covariates were about the same. Including localized AgP increased the proportion of IgG2 variance explained by less than 3%, to 19.2%.


View this table:
[in this window]
[in a new window]

 
Table 1. Genetic and Environmental Effects on Levels of Serum IgG2 in Variance Component Models
 
Black female non-smokers had the highest levels of IgG2 among subjects who did not have localized AgP, followed by black male non-smokers, black female smokers, and black male smokers (Fig. 1AGo). Race had the largest overall effect on IgG2, with about 1000 µg/mL higher IgG2 in blacks compared with whites. Consequently, white subjects of both sexes, including smokers and non-smokers, had lower predicted IgG2 levels than blacks. The curves shown in the Fig. are parallel because only main effects were included in the model. We tested interactions of race and smoking effects because of previous reports in the literature. However, these were not statistically significant and therefore were not included in the final models shown in the Figs.

Subjects with localized AgP have elevated IgG2 levels (Fig. 1BGo). For example, at age 20, black female non-smokers without localized AgP are predicted to have IgG2 levels of 4000 µg/mL, while black female non-smokers age 20 with localized AgP are predicted to have IgG2 levels of 4750 µg/mL. This increase of about 20% is nearly as great as the effect attributable to race.

Since the covariates explain less than 20% of the variance of IgG2, individuals’ actual measures vary widely from the model’s predictions (Fig. 2Go).


Figure 2
View larger version (13K):
[in this window]
[in a new window]

 
Figure 2. Covariates explain less than 20% of IgG2 variance. Comparison of actual values measured for IgG2 for individual subjects within the black female non-smoker group (points) with the values predicted by the variance component model on the solid line.

 
Independent Genetic Basis for IgG2, AgP Susceptibility, and Smoking
Bi-trait variance component analyses of IgG2 with 5 alternative quantitative measures of AL yielded heritability estimates for IgG2 ranging from 33.1% to 33.4% (Table 2Go). Heritability of AL ranged from 15.8% to 28.6%, with highest heritability obtained for first molars. Genetic correlations between IgG2 and AL measures are positive but low, ranging from 0.02 to 0.17, and none is statistically significant; nor are any of the environmental correlations.


View this table:
[in this window]
[in a new window]

 
Table 2. Genetic and Environmental Correlations between Levels of Serum IgG2 and Quantitative Measures of Periodontal Attachment Loss or Smoking in Bi-trait Variance Component Models
 
Heritability for smoking was 29.0% in a model without a covariate for subjects’ AgP status. When the AgP covariate (which combined both localized and generalized forms) was added to the model, heritability for smoking was 29.2%. Genetic and environmental correlations between IgG2 and smoking were consistently negative, but not statistically significant.


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS & METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
IgG2 levels show strong familial aggregation, with heritability estimated at 39%. Familial aggregation accounts for a greater proportion of IgG2 variance than the combined effects of age, sex, race, smoking, and localized AgP status (19%). Previously reported segregation analyses of IgG2 suggested the importance of genetic variation. However, segregation analyses attribute all or most of the heritable variation to a single "major" gene. Studies of other antibodies such as IgE indicate that the single-gene model is not appropriate (Mathias et al., 2001). The variance component method we used assesses realistic, complex disease models, with multiple genes (Blangero et al., 2001). Thus, our finding of substantial heritability may be more robust and reliable.

IgG2 levels increase with age until age 50, then slowly decline (Fig. 1AGo). Sex differences are marginally significant, but race, smoking, and localized AgP have large effects. Race differences in antibody responses are well-established. A classic example is Native Americans’ low IgG2 and IgG4 responses to H. influenzae vaccines (Siber et al., 1990). However, these variables explain only 19% of IgG2 variance, with wide variation around the values of IgG2 predicted by the model (Fig. 2Go). This means that other factors may control variation in this trait. The importance of our finding of 39% heritability is that a large portion of this residual variance is attributable to familial aggregation, and thus, potentially, to inherited variation.

Bi-trait analyses indicated that genes that influence IgG2 are not the same genes as those that influence AgP susceptibility (Table 2Go). Thus, identifying the genes that control IgG2 may provide only limited insight into the genetic basis of AgP risk. However, our confirmation of elevated IgG2 associated with localized AgP (Table 1Go) suggests that IgG2 host response genes may help identify genes related to localized disease. Since there was little to no genetic correlation between IgG2 and quantitative measures of AgP (Table 2Go), it is likely that our conclusions regarding genetic variation influencing IgG2 may be applicable to the general population rather than being relevant only to families with multiple AgP-affected members.

Previous studies indicate that heritability of smoking behavior ranges from 37% to 59% (Li et al., 2003). Our estimate of 29% with a standard error of 11% (Table 2Go) is low but within this range. The rationale for adjusting these analyses by AgP status was to ensure that our estimate of the heritability of smoking was not biased by our ascertainment of families with multiple cases of localized and/or generalized AgP. Since we found virtually no difference in smoking heritability with or without the AgP covariate (Table 2Go), these findings are unlikely to have been biased by our study’s method of selecting families.

Data on antibody responses in periodontitis are somewhat inconsistent. Lehner et al. (1974) found elevated IgA, IgG, and IgM in AgP, and Waldrop et al. (1981) reported higher IgG in AgP, but similar concentrations of subclasses. Lu et al. (1994) observed elevated IgG2 levels in localized but not in all generalized AgP subjects. Quinn et al. (1996) found elevated IgG2 levels only in non-smoking generalized AgP. Albandar et al. (2002) reported higher antibody levels in African-Americans compared with Caucasians. They found no IgG or subclass associations with AgP, although with only 13 localized AgP subjects, statistical power was limited.

Localized AgP subjects’ response to A. actinomycetemcomitans leukotoxin is primarily IgG1 (Califano et al., 1997), while both localized AgP and non-smoking generalized AgP subjects’ response to LPS is primarily IgG2 (Tangada et al., 1997). Generalized AgP with very high levels of anti-LPS IgG2 has significantly less AL than generalized AgP with lower levels of these antibodies (Califano et al., 1996). Albandar et al. (2001) found significantly higher levels of IgG and IgA reactive to P. gingivalis and A. actinomycetemcomitans and IgA antibody reactive to P. intermedia in generalized AgP compared with healthy controls, but no differences between controls and 13 localized AgP subjects. Craig et al. (2002) reported that IgG reactive to P. gingivalis was higher in African-Americans compared with Asians and Hispanics, but also found greater probing depth and AL, more missing teeth, and a higher number of unskilled laborers in African-American subjects. They suggested that "environmental and socio-economic variables may have a greater influence on serum IgG antibody levels in these populations."

Data on immunoglobulin allotypes are inconsistent. Gunsolley et al. (1997) reported interactions among allotypes, subtypes of AgP, and smoking affecting IgG2. G2m(n)+ allotype subjects with generalized AgP in Korea had higher IgG2 reactive to A. actinomycetemcomitans, while Km(1)+ subjects with localized AgP had higher IgG2 reactive to P. gingivalis (Choi et al., 1996). However, Colombo et al. (1998) reported that neither serum IgG2 nor allotypes were strongly related to refractory periodontal disease.

We found no evidence of interaction between race and smoking relative to IgG2, so we did not evaluate the higher-order, three-way interactions of race, smoking, and localized vs. generalized AgP suggested previously (Quinn et al., 1996, 1998). Smoking is associated with reduced IgG2 reactive with A. actinomycetemcomitans in African Americans with generalized AgP, but IgG2 reactive with other antigens appears unaffected by smoking (Tangada et al., 1997). Lower levels of antibodies reactive with A. actinomycetemcomitans, P. intermedia, and T. denticola were found in smoking vs. non-smoking generalized AgP patients on maintenance therapy, but there was no effect of smoking in untreated patients (Mooney et al., 2001).

We used variance component analyses to identify factors influencing levels of IgG2. We found significant associations with age, race, smoking, and localized AgP, but these variables explain only 19% of IgG2 variance. We estimated heritability of IgG2 levels to be 38%. This substantial genetic basis for individual differences in IgG2 is similar to findings for other antibodies. We also found that IgG2 and susceptibility to AgP are genetically uncorrelated, indicating that these traits are controlled by different genes.


    ACKNOWLEDGMENTS
 
This work was supported by US Public Health Service grant DE-13102 from the National Institute of Dental and Craniofacial Research, and by resources provided by the University of Medicine and Dentistry of New Jersey and Virginia Commonwealth University. We thank our study families for their cooperation in this research, and express our appreciation for the technical assistance of J. Francis, K. Lake, P. Ober, D. Ruggles, G. Smith, and D. Williams. We thank J. Blangero, C. Peterson, and T. Dyer for technical guidance and interpretation of SOLAR analyses, J. Cole for editorial assistance, and R.P. Erickson for scientific review of the manuscript.

Received for publication January 29, 2003. Revision received April 27, 2003. Accepted for publication June 10, 2003.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS & METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 

  • Albandar JM, Rams TE (2002). Risk factors for periodontitis in children and young persons. Periodontol 2000 29:207–222.[CrossRef]
  • Albandar JM, DeNardin AM, Adesanya MR, Diehl SR, Winn DM (2001). Associations between serum antibody levels to periodontal pathogens and early-onset periodontitis. J Periodontol 72:1463–1469.[CrossRef][Medline] [Order article via Infotrieve]
  • Albandar JM, DeNardin AM, Adesanya MR, Winn DM, Diehl SR (2002). Associations of serum concentrations of IgG, IgA, IgM and interleukin-1beta with early-onset periodontitis classification and race. J Clin Periodontol 29:421–426.[CrossRef][Medline] [Order article via Infotrieve]
  • Almasy L, Blangero J (1998). Multipoint quantitative-trait linkage analysis in general pedigrees. Am J Hum Genet 62:1198–1211.[CrossRef][Medline] [Order article via Infotrieve]
  • Blangero J, Williams JT, Almasy L (2001). Variance component methods for detecting complex trait loci. Adv Genet 42:151–181.[Medline] [Order article via Infotrieve]
  • Califano JV, Gunsolley JC, Nakashima K, Schenkein HA, Wilson ME, Tew JG (1996). Influence of anti-Actinobacillus actinomycetemcomitans Y4 (serotype b) lipopolysaccharide on severity of generalized early-onset periodontitis. Infect Immun 64:3908–3910.[Abstract]
  • Califano JV, Pace BE, Gunsolley JC, Schenkein HA, Lally ET, Tew JG (1997). Antibody reactive with Actinobacillus actinomycetemcomitans leukotoxin in early-onset periodontitis patients. Oral Microbiol Immunol 12:20–26.[Medline] [Order article via Infotrieve]
  • Choi JI, Ha MH, Kim JH, Kim SJ (1996). Immunoglobulin allotypes and immunoglobulin G subclass responses to Actinobacillus actinomycetemcomitans and Porphyromonas gingivalis in early-onset periodontitis. Infect Immun 64:4226–4230.[Abstract]
  • Colombo AP, Eftimiadi C, Haffajee AD, Cugini MA, Socransky SS (1998). Serum IgG2 level, Gm(23) allotype and FcgammaRIIa and FcgammaRIIIb receptors in refractory periodontal disease. J Clin Periodontol 25:465–474.[Medline] [Order article via Infotrieve]
  • Craig RG, Boylan R, Yip J, Mijares D, Imam M, Socransky SS, et al. (2002). Serum IgG antibody response to periodontal pathogens in minority populations: relationship to periodontal disease status and progression. J Periodontal Res 37:132–146.[CrossRef][Medline] [Order article via Infotrieve]
  • Diehl SR, White PS (2001). Cambridge Healthtech Institute’s Third Annual Conference on human genetic variation. Pharmacogenomics 2:79–84.[Medline] [Order article via Infotrieve]
  • Diehl SR, Wang Y, Brooks CN, Burmeister JA, Califano JV, Wang S, et al. (1999). Linkage disequilibrium of interleukin-1 genetic polymorphisms with early-onset periodontitis. J Periodontol 70:418–430.[CrossRef][Medline] [Order article via Infotrieve]
  • Gunsolley JC, Pandey JP, Quinn SM, Tew J, Schenkein HA (1997). The effect of race, smoking and immunoglobulin allotypes on IgG subclass concentrations. J Periodontal Res 32:381–387.[CrossRef][Medline] [Order article via Infotrieve]
  • Haffajee AD, Socransky SS (1994). Microbial etiological agents of destructive periodontal diseases. Periodontol 2000 5:78–111.[CrossRef]
  • Lehner T, Wilton JM, Ivanyi L, Manson JD (1974). Immunological aspects of juvenile periodontitis (periodontosis). J Periodontal Res 9:261–272.[Medline] [Order article via Infotrieve]
  • Li MD, Cheng R, Ma JZ, Swan GE (2003). A meta-analysis of estimated genetic and environmental effects on smoking behavior in male and female adult twins. Addiction 98:23–31.[CrossRef][Medline] [Order article via Infotrieve]
  • Lu H, Califano JV, Schenkein HA, Tew JG (1993). Immunoglobulin class and subclass distribution of antibodies reactive with the immunodominant antigen of Actinobacillus actinomycetemcomitans serotype b. Infect Immun 61:2400–2407.[Abstract/Free Full Text]
  • Lu H, Wang M, Gunsolley JC, Schenkein HA, Tew JG (1994). Serum immunoglobulin G subclass concentrations in periodontally healthy and diseased individuals. Infect Immun 62:1677–1682.[Abstract/Free Full Text]
  • Marazita ML, Lu H, Cooper ME, Quinn SM, Zhang J, Burmeister JA, et al. (1996). Genetic segregation analyses of serum IgG2 levels. Am J Hum Genet 58:1042–1049.[Medline] [Order article via Infotrieve]
  • Mathias RA, Freidhoff LR, Blumenthal MN, Meyers DA, Lester L, King R, et al. (2001). Genome-wide linkage analyses of total serum IgE using variance components analysis in asthmatic families. Genet Epidemiol 20:340–355.[CrossRef][Medline] [Order article via Infotrieve]
  • Mooney J, Hodge PJ, Kinane DF (2001). Humoral immune response in early-onset periodontitis: influence of smoking. J Periodontal Res 36:227–232.[CrossRef][Medline] [Order article via Infotrieve]
  • Offenbacher S (1996). Periodontal diseases: pathogenesis. Ann Periodontol 1:821–878.[Medline] [Order article via Infotrieve]
  • Quinn SM, Zhang JB, Gunsolley JC, Schenkein JG, Schenkein HA, Tew JG (1996). Influence of smoking and race on immunoglobulin G subclass concentrations in early-onset periodontitis patients. Infect Immun 64:2500–2505.[Abstract]
  • Quinn SM, Zhang JB, Gunsolley JC, Schenkein HA, Tew JG (1998). The influence of smoking and race on adult periodontitis and serum IgG2 levels. J Periodontol 69:171–177.[Medline] [Order article via Infotrieve]
  • Schenkein HA (2002). Finding genetic risk factors for periodontal diseases: is the climb worth the view? Periodontol 2000 30:79–90.
  • Siber GR, Santosham M, Reid GR, Thompson C, Almeido-Hill J, Morell A, et al. (1990). Impaired antibody response to Haemophilus influenzae type b polysaccharide and low IgG2 and IgG4 concentrations in Apache children. N Engl J Med 323:1387–1392.[Abstract]
  • Tangada SD, Califano JV, Nakashima K, Quinn SM, Zhang JB, Gunsolley JC, et al. (1997). The effect of smoking on serum IgG2 reactive with Actinobacillus actinomycetemcomitans in early-onset periodontitis patients. J Periodontol 68:842–850.[Medline] [Order article via Infotrieve]
  • Waldrop TC, Mackler BF, Schur P (1981). IgG and IgG subclasses in human periodontosis (juvenile periodontitis). Serum concentrations. J Periodontol 52:96–98.[Medline] [Order article via Infotrieve]
  • Wilson ME, Hamilton RG (1992). Immunoglobulin G subclass response of localized juvenile periodontitis patients to Actinobacillus actinomycetemcomitans Y4 lipopolysaccharide. Infect Immun 60:1806–1812.[Abstract/Free Full Text]
  • Zhang JB, Quinn SM, Rausch M, Gunsolley JC, Schenkein HA, Tew JG (1996). Hyper-immunoglobulin G2 production by B cells from patients with localized juvenile periodontitis and its regulation by monocytes. Infect Immun 64:2004–2009.[Abstract]

Journal of Dental Research, Vol. 82, No. 9, 708-712 (2003)
DOI: 10.1177/154405910308200910


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?



This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Diehl, S.R.
Right arrow Articles by Schenkein, H.A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Diehl, S.R.
Right arrow Articles by Schenkein, H.A.
Right arrowPubmed/NCBI databases
*Substance via MeSH
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?