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Rick A Kittles

Publications and source records attributed to Rick A Kittles.

At least 19 recordsLinked to original sources

Genome-wide linkage of 77 families from the African American Hereditary Prostate Cancer study (AAHPC).

BACKGROUND: The African American Hereditary Prostate Cancer (AAHPC) Study was designed to recruit families with early-onset disease fulfilling criteria of >or=4 affected. METHODS: We present a approximately 10 cM genome-wide linkage (GWL) analysis on 77 families including 254 affected and 274 unaffected genotyped. RESULTS: Linkage analysis revealed three chromosomal regions with GENEHUNTER multipoint HLOD scores >or=1.3 for all 77 families at 11q22, 17p11, and Xq21. One family yielded genome-wide significant evidence of linkage (LOD = 3.5) to the 17p11 region with seven other families >or=2.3 in this region. Twenty-nine families with no-male-to-male (MM) transmission gave a peak HLOD of 1.62 (alpha = 0.33) at the Xq21 locus. Two novel peaks >or=0.91 for the 16 families with '>6 affected' occurred at 2p21 and 22q12. CONCLUSIONS: These chromosomal regions in the genome warrant further follow-up based on the hypothesis of multiple susceptibility genes with modest effects, or several major genes segregating in small subsets of families.

Black or African American↗

Genetic evidence for the convergent evolution of light skin in Europeans and East Asians.

Human skin pigmentation shows a strong positive correlation with ultraviolet radiation intensity, suggesting that variation in skin color is, at least partially, due to adaptation via natural selection. We investigated the evolution of pigmentation variation by testing for the presence of positive directional selection in 6 pigmentation genes using an empirical F(ST) approach, through an examination of global diversity patterns of these genes in the Centre d'Etude du Polymorphisme Humain (CEPH)-Diversity Panel, and by exploring signatures of selection in data from the International HapMap project. Additionally, we demonstrated a role for MATP in determining normal skin pigmentation variation using admixture mapping methods. Taken together (with the results of previous admixture mapping studies), these results point to the importance of several genes in shaping the pigmentation phenotype and a complex evolutionary history involving strong selection. Polymorphisms in 2 genes, ASIP and OCA2, may play a shared role in shaping light and dark pigmentation across the globe, whereas SLC24A5, MATP, and TYR have a predominant role in the evolution of light skin in Europeans but not in East Asians. These findings support a case for the recent convergent evolution of a lighter pigmentation phenotype in Europeans and East Asians.

Black or African American↗

Adverse prognostic significance of KIT mutations in adult acute myeloid leukemia with inv(16) and t(8;21): a Cancer and Leukemia Group B Study.

PURPOSE: To analyze the prognostic impact of mutated KIT (mutKIT) in core-binding factor acute myeloid leukemia (AML) with inv(16)(p13q22) and t(8;21)(q22;q22). PATIENTS AND METHODS: Sixty-one adults with inv(16) and 49 adults with t(8;21), assigned to postremission therapy with repetitive cycles of higher dose cytarabine were analyzed for mutKIT in exon 17 (mutKIT17) and 8 (mutKIT8) by denaturing high-performance liquid chromatography and direct sequencing at diagnosis. The median follow-up was 5.3 years. RESULTS: Among patients with inv(16), 29.5% had mutKIT (16% with mutKIT17 and 13% with sole mutKIT8). Among patients with t(8;21), 22% had mutKIT (18% with mutKIT17 and 4% with sole mutKIT8). Complete remission rates of patients with mutKIT and wild-type KIT (wtKIT) were similar in both cytogenetic groups. In inv(16), the cumulative incidence of relapse (CIR) was higher for patients with mutKIT (P = .05; 5-year CIR, 56% v 29%) and those with mutKIT17 (P = .002; 5-year CIR, 80% v 29%) compared with wtKIT patients. Once data were adjusted for sex, mutKIT predicted worse overall survival (OS). In t(8;21), mutKIT predicted higher CIR (P = .017; 5-year CIR, 70% v 36%), but did not influence OS. CONCLUSION: We report for the first time that mutKIT, and particularly mutKIT17, confer higher relapse risk, and both mutKIT17 and mutKIT8 appear to adversely affect OS in AML with inv(16). We also confirm the adverse impact of mutKIT on relapse risk in t(8;21) AML. We suggest that patients with core-binding factor AML should be screened for mutKIT at diagnosis for both prognostic and therapeutic purposes, given that activated KIT potentially can be targeted with novel tyrosine kinase inhibitors.

Acute Disease↗

ICAM gene cluster SNPs and prostate cancer risk in African Americans.

Intercellular adhesion molecules (ICAMs) are known to be involved in various human cancers. An ICAM gene cluster lying within a 26 kb region on chromosome 19p13.2, and containing ICAM1, ICAM4, and ICAM5 has recently been identified as harboring a breast and prostate cancer susceptibility locus in two populations of European ancestry from Germany and Australia. The objective of this study was to confirm the ICAM association with prostate cancer in a sample of African American prostate cancer cases (N = 286) and controls (N = 391). Six single nucleotide polymorphisms (SNPs) within the three ICAM genes were genotyped. To control for potential population stratification an ancestry-adjusted association analysis was performed. We found that ICAM1 SNPs, -9A/C (rs5490) and K469E (rs5498) were associated with prostate cancer risk in men with a family history of prostate cancer (P = 0.008). Specifically, increased risk was observed for individuals who possessed the CC genotype of the -9 A/C variant (odds ratio = 2.5; 95% CI = 1.0-6.3) and at least one G allele of non-synonymous K469E variant (odds ratio = 1.8; 95% CI = 1.2-3.1). Strong linkage disequilibrium was observed across the ICAM region (P < 0.001). A common haplotype within the ICAM gene cluster, harboring the -9A/C variant was significantly associated with prostate cancer (P = 0.03), mainly due to men with family history (P = 0.01). Our results replicate previous findings of association of the ICAM gene cluster with prostate cancer and suggest that common genetic variation within ICAM1 and not ICAM5 may be an important risk factor for prostate cancer.

Black or African American↗

E-cadherin polymorphisms and haplotypes influence risk for prostate cancer.

BACKGROUND: The E-cadherin (CDH1) gene has been implicated in prostate cancer (PCA) risk, however, the exact mechanism is unknown. Several polymorphisms, such as the C/A variant -160 base pairs from the transcription start site, in the CDH1 gene promoter region have been associated with cancer risk, mainly in European descent populations. METHODS: We screened the entire coding region and 3.0 kilobases of the CDH1 promoter for polymorphisms in 48 African Americans using dHPLC. Twenty-one (21) polymorphisms were observed. Four polymorphisms, including -160C/A, were genotyped in a genetic association study using incident PCA cases (N = 427) and unaffected controls (N = 337) of similar age from three different ethnic groups consisting of African Americans, Jamaicans, and European Americans. RESULTS: We observed a significantly higher frequency of the -160A allele among European American PCA patients (27.5%) compared to the control group (19.7%) (P = 0.04). More importantly, among men of European ancestry under the age of 65 who possess the -160 A allele there was over three times increased risk for prostate cancer (P = 0.05). Also, the AACT haplotype bearing the -160A allele was significantly associated with PCA in European Americans (P = 0.04). CONCLUSIONS: Our data indicate that CDH1 likely is a low-penetrant PCA susceptibility gene, however, population differences in linkage disequilibrium within the CDH1 gene region may influence the effect of susceptibility alleles such as -160A.

Black or African American↗

A common cardiac sodium channel variant associated with sudden infant death in African Americans, SCN5A S1103Y.

Thousands die each year from sudden infant death syndrome (SIDS). Neither the cause nor basis for varied prevalence in different populations is understood. While 2 cases have been associated with mutations in type Valpha, cardiac voltage-gated sodium channels (SCN5A), the "Back to Sleep" campaign has decreased SIDS prevalence, consistent with a role for environmental influences in disease pathogenesis. Here we studied SCN5A in African Americans. Three of 133 SIDS cases were homozygous for the variant S1103Y. Among controls, 120 of 1,056 were carriers of the heterozygous genotype, which was previously associated with increased risk for arrhythmia in adults. This suggests that infants with 2 copies of S1103Y have a 24-fold increased risk for SIDS. Variant Y1103 channels were found to operate normally under baseline conditions in vitro. As risk factors for SIDS include apnea and respiratory acidosis, Y1103 and wild-type channels were subjected to lowered intracellular pH. Only Y1103 channels gained abnormal function, demonstrating late reopenings suppressible by the drug mexiletine. The variant appeared to confer susceptibility to acidosis-induced arrhythmia, a gene-environment interaction. Overall, homozygous and rare heterozygous SCN5A missense variants were found in approximately 5% of cases. If our findings are replicated, prospective genetic testing of SIDS cases and screening with counseling for at-risk families warrant consideration.

Adult↗

The 8818G allele of the agouti signaling protein (ASIP) gene is ancestral and is associated with darker skin color in African Americans.

Skin color, a predictor of social interactions and risk factor for several types of cancer, is due to two contrasting forms of melanin, the darker eumelanin and lighter phaeomelanin. The lighter pigment phaeomelanin is the product of the antagonistic function of the agouti signaling protein (ASIP) on the alpha-melanocyte stimulating hormone receptor (MC1R). Studies have shown that a single-nucleotide polymorphism (SNP) in the 3'UTR of the ASIP gene is associated with dark hair and eyes; however, little is known about its role in inter-individual variation in skin color. Here we examine the relationship between the ASIP g.8818A>G SNP and skin color (M index) as assessed by reflectometry in 234 African Americans. Analyses of variance (ANOVA) were performed to evaluate the effects of ASIP genotypes, age, individual ancestry, and sex on skin color variation. Significant effects on M index variation were observed for ASIP genotypes (F(2,236)=4.37, P=0.01), ancestry (F(1,243)=37.2, P<0.001), and sex (F(1,244)=4.08, P=0.05). Subsequent analyses revealed a strong effect on M index from ASIP genotypes in African American females (P<0.001). Our study suggests that the ASIP G>A polymorphism exhibits a dominant effect leading to lighter skin color and that variation in the ASIP gene may have been one of several factors contributing to reductions in pigmentation in some populations. Further study is needed to reveal how interactions between ASIP and several other genes, such as MC1R and P, predict human pigmentation.

Adult↗

Large-scale SNP analysis reveals clustered and continuous patterns of human genetic variation.

Understanding the distribution of human genetic variation is an important foundation for research into the genetics of common diseases. Some of the alleles that modify common disease risk are themselves likely to be common and, thus, amenable to identification using gene-association methods. A problem with this approach is that the large sample sizes required for sufficient statistical power to detect alleles with moderate effect make gene-association studies susceptible to false-positive findings as the result of population stratification. Such type I errors can be eliminated by using either family-based association tests or methods that sufficiently adjust for population stratification. These methods require the availability of genetic markers that can detect and, thus, control for sources of genetic stratification among populations. In an effort to investigate population stratification and identify appropriate marker panels, we have analysed 11,555 single nucleotide polymorphisms in 203 individuals from 12 diverse human populations. Individuals in each population cluster to the exclusion of individuals from other populations using two clustering methods. Higher-order branching and clustering of the populations are consistent with the geographic origins of populations and with previously published genetic analyses. These data provide a valuable resource for the definition of marker panels to detect and control for population stratification in population-based gene identification studies. Using three US resident populations (European-American, African-American and Puerto Rican), we demonstrate how such studies can proceed, quantifying proportional ancestry levels and detecting significant admixture structure in each of these populations.

Chromosomes, Human, X↗

COX-2 gene promoter haplotypes and prostate cancer risk.

Cyclooxygenase-2 (COX-2) is a key rate-limiting enzyme that converts arachidonic acid into pro-inflammatory prostaglandins. COX-2 expression is strongly correlated with increased tumor microvasculature density and plays an important role in inhibiting apoptosis, stimulating angiogenesis and promoting tumor cell metastasis and invasion. However, little is known about the role that sequence variation of the COX-2 gene contributes to prostate cancer. Thus, we searched for polymorphisms in the promoter region of the COX-2 gene using denaturing high-performance liquid chromatography. Four single nucleotide polymorphisms (SNPs), -1285A/G, -1265G/A, -899G/C and -297C/G, were detected and confirmed by direct sequencing. Three of the SNPs in the promoter region of COX-2 gene create at least three putative transcription factor binding sites and eliminate CCAAT/enhancer binding protein alpha (C/EBP alpha) and NF-kappa B binding sites. A case-control study of the four SNPs in African American (n = 288), Bini Nigerian (n = 264) and European American (n = 184) prostate cancer cases and age-matched controls revealed that SNP -297G was associated with a decreased risk for prostate cancer [odds ratio (OR) = 0.49; CI = 0.2-0.9; P = 0.01]. The effect on risk was observed in both African Americans (OR = 0.51; CI = 0.2-0.9; P = 0.01) and European Americans (OR = 0.33; CI = 0.1-0.9; P = 0.02). In addition, SNPs -1265A and -899C were associated with increased prostate cancer risk in African Americans (OR = 2.72; CI = 1.3-5.8; P = 0.007 and OR = 3.67; CI = 1.4-9.9; P = 0.007, respectively). Haplotype analyses revealed modest effects on susceptibility to prostate cancer across populations. Haplotype GGCC conferred increased risk in the African American and Nigerian populations. Conversely, haplotype AGGG exhibited a negative association with prostate cancer risk in African Americans (OR = 0.4; CI = 0.1-0.9; P = 0.02) and European Americans (OR = 0.2; CI = 0.1-0.9; P = 0.03). These data suggest that variation of the COX-2 promoter may influence the risk and development of prostate cancer.

Base Sequence↗

Mutations in a novel gene encoding a CRAL-TRIO domain cause human Cayman ataxia and ataxia/dystonia in the jittery mouse.

Cayman ataxia is a recessive congenital ataxia restricted to one area of Grand Cayman Island. Comparative mapping suggested that the locus on 19p13.3 associated with Cayman ataxia might be homologous to the locus on mouse chromosome 10 associated with the recessive ataxic mouse mutant jittery. Screening genes in the region of overlap identified mutations in a novel predicted gene in three mouse jittery alleles, including the first mouse mutation caused by an Alu-related (B1 element) insertion. We found two mutations exclusively in all individuals with Cayman ataxia. The gene ATCAY or Atcay encodes a neuron-restricted protein called caytaxin. Caytaxin contains a CRAL-TRIO motif common to proteins that bind small lipophilic molecules. Mutations in another protein containing a CRAL-TRIO domain, alpha-tocopherol transfer protein (TTPA), cause a vitamin E-responsive ataxia. Three-dimensional protein structural modeling predicts that the caytaxin ligand is more polar than vitamin E. Identification of the caytaxin ligand may help develop a therapy for Cayman ataxia.

Amino Acid Sequence↗

Allelic variation at alcohol metabolism genes ( ADH1B, ADH1C, ALDH2) and alcohol dependence in an American Indian population.

Enzymes encoded by two gene families, alcohol dehydrogenase ( ADH) and aldehyde dehydrogenase ( ALDH), mediate alcohol metabolism in humans. Allelic variants have been identified that alter metabolic rates and influence risk for alcoholism. Specifically, ADH1B*47His (previously ADH2-2) and ALDH2-2 have been shown to confer protection against alcoholism, presumably through accumulation of acetaldehyde in the blood and a resultant 'flushing response' to alcohol consumption. In the current study, variants at ADH1B (previously ADH2), ADH1C (previously ADH3), and ALDH2 were assayed in DNA extracts from participants belonging to a Southwest American Indian tribe ( n=490) with a high prevalence of alcoholism. Each subject underwent a clinical interview for diagnosis of alcohol dependence, as well as evaluation of intermediate phenotypes such as binge drinking and flushing response to alcohol consumption. Detailed haplotypes were constructed and tested against alcohol dependence and related intermediate phenotypes using both association and linkage analysis. ADH and ALDH variants were also assayed in three Asian and one African population (no clinical data) in order to provide an evolutionary context for the haplotype data. Both linkage and association analysis identified several ADH1C alleles and a neighboring microsatellite marker that affected risk of alcohol dependence and were also related to binge drinking. These data strengthen the support for ADH as a candidate locus for alcohol dependence and suggest further productive study.

Alcohol Dehydrogenase↗

Skin pigmentation, biogeographical ancestry and admixture mapping.

Ancestry informative markers (AIMs) are genetic loci showing alleles with large frequency differences between populations. AIMs can be used to estimate biogeographical ancestry at the level of the population, subgroup (e.g. cases and controls) and individual. Ancestry estimates at both the subgroup and individual level can be directly instructive regarding the genetics of the phenotypes that differ qualitatively or in frequency between populations. These estimates can provide a compelling foundation for the use of admixture mapping (AM) methods to identify the genes underlying these traits. We present details of a panel of 34 AIMs and demonstrate how such studies can proceed, by using skin pigmentation as a model phenotype. We have genotyped these markers in two population samples with primarily African ancestry, viz. African Americans from Washington D.C. and an African Caribbean sample from Britain, and in a sample of European Americans from Pennsylvania. In the two African population samples, we observed significant correlations between estimates of individual ancestry and skin pigmentation as measured by reflectometry (R(2)=0.21, P<0.0001 for the African-American sample and R(2)=0.16, P<0.0001 for the British African-Caribbean sample). These correlations confirm the validity of the ancestry estimates and also indicate the high level of population structure related to admixture, a level that characterizes these populations and that is detectable by using other tests to identify genetic structure. We have also applied two methods of admixture mapping to test for the effects of three candidate genes (TYR, OCA2, MC1R) on pigmentation. We show that TYR and OCA2 have measurable effects on skin pigmentation differences between the west African and west European parental populations. This work indicates that it is possible to estimate the individual ancestry of a person based on DNA analysis with a reasonable number of well-defined genetic markers. The implications and applications of ancestry estimates in biomedical research are discussed.

Africa↗

Control of confounding of genetic associations in stratified populations.

To control for hidden population stratification in genetic-association studies, statistical methods that use marker genotype data to infer population structure have been proposed as a possible alternative to family-based designs. In principle, it is possible to infer population structure from associations between marker loci and from associations of markers with the trait, even when no information about the demographic background of the population is available. In a model in which the total population is formed by admixture between two or more subpopulations, confounding can be estimated and controlled. Current implementations of this approach have limitations, the most serious of which is that they do not allow for uncertainty in estimations of individual admixture proportions or for lack of identifiability of subpopulations in the model. We describe methods that overcome these limitations by a combination of Bayesian and classical approaches, and we demonstrate the methods by using data from three admixed populations--African American, African Caribbean, and Hispanic American--in which there is extreme confounding of trait-genotype associations because the trait under study (skin pigmentation) varies with admixture proportions. In these data sets, as many as one-third of marker loci show crude associations with the trait. Control for confounding by population stratification eliminates these associations, except at loci that are linked to candidate genes for the trait. With only 32 markers informative for ancestry, the efficiency of the analysis is 70%. These methods can deal with both confounding and selection bias in genetic-association studies, making family-based designs unnecessary.

Bayes Theorem↗

Race, ancestry, and genes: implications for defining disease risk.

Geneticists are interested in finding genes associated with disease. Because of widespread health disparities, race is a variable that is often said to be relevant in this context. The idea is that members of a preconceived "race" share common ancestry that may include genetic risk factors. Human variation has been shaped by the long-term processes of population history, and population samples that reflect that history carry statistical information about shared genetic variation or "ancestry." But race is an elusive concept and a term difficult even to define rigorously. Unfortunately, these problems are neither new nor related to recent genetic knowledge. Race is also one of the most politically charged subjects in American life because its associated sociocultural component has notoriously led to categorical treatment that has been misleading and politically misused. There are ways in which the concept of race (whether or not the term is used) can be a legitimate tool in the search for disease-associated genes. But in that context race reflects deeply confounded cultural as well as biological factors, and a careful distinction must be made between race as a statistical risk factor and causal genetic variables.

Genetic Predisposition to Disease↗

Human genetic diversity and the nonexistence of biological races.

Sewall Wright's population structure statistic, F(ST), measured among samples of world populations is often 15% or less. This would indicate that 85% of genetic variation occurs within groups while only 15% can be attributed to allele frequency differences among groups. In this paper, we show that this low value reflects strong biases that result from violating hidden assumptions that define F(ST). These limitations on F(ST) are demonstrated algebraically and in the context of analyzing dinucleotide repeat allele frequencies for a set of eight loci genotyped in eight human groups and in chimpanzees. In our analyses, estimates of F(ST) fail to identify important variation. For example, when the analysis includes only humans, F(ST) = 0.119, but adding the chimpanzees increases it only a little, F(ST) = 0.183. By relaxing the underlying statistical assumptions, the results for chimpanzees become consistent with common knowledge, and we see a richer pattern of human genetic diversity. Some human groups are far more diverged than would be implied by standard computations of F(ST), while other groups are much less diverged. We discuss the relevance of these findings to the application of biological race concepts to humans. Four different race concepts are considered: typological, population, taxonomic, and lineage. Surprisingly, a great deal of genetic variation within groups is consistent with each of these concepts. However, none of the race concepts is compatible with the patterns of variation revealed by our analyses.

Chi-Square Distribution↗

Markers that discriminate between European and African ancestry show limited variation within Africa.

Markers informative for ancestry are necessary for admixture mapping and improving case-control association analyses. In particular, African Americans are an admixed population for which genetic studies require accurately evaluating admixture. This will require markers that can be used in African Americans to determine if a given genomic region is of European or African ancestry. This report shows that, despite studies indicating high intra-African sequence variation, markers with large inter-ethnic differences have only small variations in allele distribution among divergent African populations and should be valuable for evaluating admixture in complex disease genetic studies.

Africa↗

CYP3A4-V and prostate cancer in African Americans: causal or confounding association because of population stratification?

CYP3A4-V, an A to G promoter variant associated with prostate cancer in African Americans, exhibits large differences in allele frequency between populations. Given that the African American population is genetically heterogeneous because of its African ancestry and subsequent admixture with European Americans, case-control studies with African Americans are highly susceptible to spurious associations. To test for association with prostate cancer, we genotyped CYP3A4-V in 1376 (2 N) chromosomes from prostate cancer patients and age- and ethnicity-matched controls representing African Americans, Nigerians, and European Americans. To detect population stratification among the African American samples, 10 unlinked genetic markers were genotyped. To correct for the stratification, the uncorrected association statistic was divided by the average of association statistics across the 10 unlinked markers. Sharp differences in CYP3A4-V frequencies were observed between Nigerian and European American controls (0.87 and 0.10, respectively; P<0.0001). African Americans were intermediate (0.66). An association uncorrected for stratification was observed between CYP3A4-V and prostate cancer in African Americans (P=0.007). A nominal association was also observed among European Americans (P=0.02) but not Nigerians. In addition, the unlinked genetic marker test provided strong evidence of population stratification among African Americans. Because of the high level of stratification, the corrected P-value was not significant (P=0.25). Follow-up studies on a larger dataset will be needed to confirm whether the association is indeed spurious; however, these results reveal the potential for confounding of association studies by using African Americans and the need for study designs that take into account substructure caused by differences in ancestral proportions between cases and controls.

Adult↗