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Biomedical subjects

A G Steinberg

Publications and source records attributed to A G Steinberg.

At least 19 recordsLinked to original sources
PubMed2000

Children's mental health: recommendations for research, practice and policy.

A recent study documented a large increase in prescriptions of stimulants and antidepressants among preschoolers, and has prompted public and professional concern about the effects of mood-altering drugs on young children. In response, the White House announced a broad initiative on children's mental health, including more government money for research, new labels on drugs for pediatric use, educational materials for parents, and a fall White House conference. To place these events in their larger context, this Issue Brief summarizes the findings of the Children's Mental Health Alliance Project, which conducted a multidisciplinary consensus conference in November 1998 followed by a year-long dialogue with clinicians, researchers, and families.

Child↗
PubMed1999

Deaf murderers: clinical and forensic issues.

Data are reported on 28 deaf individuals who were convicted, pled guilty, or have been charged and awaiting trial for murder. The unique forensic issues raised by these cases are discussed, and their clinical picture presented. A significant percentage of these deaf murderers and defendants had such severely limited communication skills in both English and American Sign Language that they lacked the linguistic ability to understand the charges against them and/or to participate in their own defense. As such, they were incompetent to stand trial, due not to mental illness or mental retardation, but to linguistic deficits. This form of incompetence poses a dilemma to the courts that remains unresolved. This same linguistic disability makes it impossible for some deaf suspects to be administered Miranda Warnings in a way comprehensible to them. This paper identifies the reasons for the communication problems many deaf persons face in court and offers remedial steps to help assure fair trials and police interrogations for deaf defendants. The roles and responsibilities of psychiatric and psychological experts in these cases are discussed. Data are provided on the etiology of the 28 individuals' hearing losses, psychiatric/psychological histories, IQs, communication characteristics, educational levels, and victim characteristics.

Adolescent↗
PubMed1998

The diagnostic interview schedule for deaf patients on interactive video: a preliminary investigation.

OBJECTIVE: The authors investigated the feasibility of translating the National Institute of Mental Health Quick Diagnostic Interview Schedule-III, Revised, computer version, for deaf individuals. METHOD: The study involved translation of selected scales into American Sign Language, Signed English, and speech reading; review by an advisory panel and back translator; and collection and analysis of deaf individuals' reactions to translations. RESULTS: Focus groups responded favorably, translation problems were revealed, and solutions were suggested. CONCLUSIONS: The findings support the feasibility of translation of the Quick Diagnostic Interview Schedule-III, Revised, into American Sign Language, Signed English, and speech reading for deaf patients.

Adolescent↗
PubMed1998

Cultural and linguistic barriers to mental health service access: the deaf consumer's perspective.

OBJECTIVE: The authors investigated knowledge, attitudes, and beliefs about mental illness and providers held by a group of deaf adults. METHOD: The American Sign Language interviews of 54 deaf adults were analyzed. RESULTS: Recurrent themes included mistrust of providers, communication difficulty as a primary cause of mental health problems, profound concern with communication in therapy, and widespread ignorance about how to obtain services. CONCLUSIONS: Deaf consumers' views need due consideration in service delivery planning. Outreach regarding existing programs is essential.

Adult↗
PubMed1997

Strategies for determining HLA compatibility in related donor bone marrow transplantation.

BACKGROUND: Although HLA identity between donor and recipient is no longer an absolute requirement for bone marrow transplantation, knowledge of the degree of HLA compatibility is necessary for determining the induction and immunosuppression regimen to be used. In cases of related donor transplantation, HLA compatibility may be assessed by defining the HLA phenotypes at the allele level using high-resolution, DNA-based typing methods or by determining the genotypes of the patient and potential donor from the HLA phenotypes, ascertained by low-resolution typing, of their family members. METHODS: We developed an algorithm that can be used to assess the relative costs of these two approaches. We applied population frequencies for HLA-DR alleles to this algorithm to determine at what cost per test ratio for high-resolution:low-resolution testing the costs of the two approaches are equal. RESULTS: In transplants involving a sibling pair who have the same HLA-A, -B, and -DR antigens, these values are 1.16-1.83 for African-Americans and 1.23-1.97 for Caucasians, depending on the relatives available for testing. With a slight increase in the resolution level achieved with DR antigen testing, the range of values becomes 1.10-1.74. We also estimated that the probability that two antigenically identical siblings have identical HLA-DRB1 alleles is >99% for both African-Americans and Caucasians. A review of 615 cases from our transplant program showed that all of 192 pairs of antigenically identical patients and sibling donors were genotypically or allelically identical, indicating that this estimate is valid. CONCLUSIONS: Transplant programs can apply these algorithms to determine the most cost-effective scheme for histocompatibility testing.

Algorithms↗
PubMed1996

The frequencies of HLA alleles and haplotypes and their distribution among donors and renal patients in the UNOS registry.

HLA allele and haplotype frequencies are used in transplantation, anthropology, forensic medicine, and studies of the associations between HLA factors and the immune response. The cost of determining these frequencies through family studies can be avoided by estimating them from population data. We have utilized the data in the UNOS donor registry and kidney transplant waiting list to estimate allele and haplotype frequencies for the HLA-A, -B, and -DR(B1) loci and report the allele and a portion of the haplotype data here. Using programs written in A Program Language (APL) we were able to perform all analyses on a personal computer. We have found that the distribution of haplotype frequencies varies among the races, with Caucasians having a greater number of both more common and extremely rare haplotypes. Despite the sizes of the groups studied, only one-third to two-thirds of the haplotypes theoretically possible were actually observed. Although the data confirm the well-known fact that the distributions of alleles and haplotypes varies among races, they also reveal that certain common haplotypes are shared among all racial groups and represent an opportunity for well-matched transplants between donors and recipients of different races.

Alleles↗
PubMed1995

Much ado about me.

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Genetics, Medical↗
PubMed1994

The distribution of HLA antigens and phenotypes among donors and patients in the UNOS registry.

We have analyzed HLA data from the UNOS registry on 20,230 patients on the renal waiting list in 1991 and 18,708 donors from 1988-1992. Significant differences were found in the distribution of HLA antigens for comparisons of the total donor pool and the various racial groups of patients as well as for inter- and intraracial comparisons of donors and patients. Within a racial group, the frequencies of blanks and of broad antigens were usually higher in patients while those of splits were usually higher in donors. Comparisons between the total donor pool and the various racial groups of patients showed that the likelihood of mismatch was greater for African-Americans and Hispanics than for Caucasians but that the chance of mismatch is high for all groups and the average number of antigens mismatched will not vary greatly among the different races. Heterogeneity, as measured by the percentage of the population with different phenotypes, was higher in African-Americans (97.2-99.7%) and Hispanics (97.7-99.4%) than in Caucasians (83.3-86.5%) because of multiple occurrences of a few phenotypes, most containing A1, B8 and DR3, in Caucasians. However, the most common phenotypes of Caucasian donors differed from those of Caucasian patients. All phenotypes were rare (0.007-0.61%) and, with the exception of a small group of Caucasian patients, the likelihood of achieving a good match is low, regardless of race. These data explain the observations that, with the exception of the phenotypically identical match, HLA matching does not influence organ distribution significantly.

HLA Antigens↗
PubMed1992

The magnitude and origin of European-American admixture in the Gila River Indian Community of Arizona: a union of genetics and demography.

Complementary genetic and demographic analyses estimate the total proportion of European-American admixture in the Gila River Indian Community and trace its mode of entry. Among the 9,616 residents in the sample, 2,015 persons claim only partial Native American heritage. A procedure employing 23 alleles or haplotypes at eight loci was used to estimate the proportion of European-American admixture, m(a), for the entire sample and within six categories of Caucasian admixture calculated from demographic data, md. The genetic analysis gave an estimate of total European-American admixture in the community of 0.054 (95% confidence interval [CI] .044-.063), while an estimate from demographic records was similar, .059. Regression of m(a) on md yielded a fitted line m(a) = .922md, r = .959 (P = .0001). When total European-American admixture is partitioned between the contributing populations, Mexican-Americans have provided .671, European-Americans .305, and African-Americans .023. These results are discussed within the context of the ethnic composition of the Gila River Indian Community, the assumptions underlying the methods, and the potential that demographic data have for enriching genetic measurements of human admixture. It is concluded that, despite the severe assumptions of the mathematical methods, accurate, reliable estimates of genetic admixture are possible from allele and haplotype frequencies, even when there is little demographic information for the population.

Alleles↗
PubMed1988

Gm3;5,13,14 and type 2 diabetes mellitus: an association in American Indians with genetic admixture.

In a sample of 4,920 Native Americans of the Pima and Papago tribes, there is a very strong negative association between the Gm haplotype Gm3;5,13,14 and type 2--or non-insulin-dependent--diabetes mellitus (prevalence ratio = 0.27, 95% confidence interval 0.18-0.40). One might conclude from this observation that the absence of this haplotype--or the presence of a closely linked gene--is a causal risk factor for the disease. It is shown that Gm3;5,13,14 is a marker for Caucasian admixture, and it is most likely the presence of Caucasian alleles and the concomitant decrease of Indian alleles that lowers the risk for diabetes, rather than the direct action of the haplotype or of a closely linked locus. This study demonstrates both the potential confounding effect of admixture on the interpretation of disease association studies and the importance of considering genetic admixture (or excluding individuals with genetic admixture) in studies of genetic markers of disease. The relationship between this admixture marker and the prevalence of diabetes also suggests a strong genetic component in the susceptibility to type 2 diabetes in Pima and Papago Indians.

Arizona↗
PubMed1987

More on paternity.

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ABO Blood-Group System↗
PubMed1986

Distribution of immunoglobulin allotypes among local populations of Kenya olive baboons.

In this paper we report on the distributions of immunoglobulin allotypes among 564 olive baboons collected at six localities in Kenya. The sample localities and sizes are 1) Lake Magadi, N = 107; 2) Nanyuki, N = 77; 3) Lake Baringo, N = 55; 4) Mosiro, N = 132; 5) Isiolo, N = 36; 6) Gilgil, N = 157. Gm allotypes 1, 10, 13, 15, and 17 are polymorphic among these samples. Gm(11) and Km(3) were present in all samples, and Gm(2,3,5,6,14,16,21,24,26) and Km(1) were absent from all samples. The proportions of individuals positive for polymorphic allotypes varied substantially between different local samples, as did the arrays and estimated frequencies of haplotypes. Allotype frequencies in local samples do not appear to be simply related to either geographic location or habitat characteristics of the localities. Our data suggest that much of the geographic variability in Kenya olive baboon populations occurs between populations separated by small geographic distances.

Alleles↗
PubMed1986

Gm 3;5,13,14 and stated-admixture: independent estimates of admixture in American Indians.

Bernstein's formula for the estimation of the amount of admixture (m) in a hybrid population has been used frequently since its publication in 1931. While mathematically correct, it has not been shown to be correct in practice, because an independent estimate from a large sample has not been available. We have compared the estimate of m for Caucasian admixture derived by using Bernstein's formula with that estimated from stated-admixture (Sa) within a sample of 5,759 Native Americans. There was a linear relationship between the two variables (m = -.000275 + .714Sa; r = .976 for the grouped data, P = .0001).

Gene Frequency↗
PubMed1985

Multiplicity of genetic polymorphisms of blood in the Schmiedeleut Hutterites.

Ninety-eight alleles in 38 polymorphisms of blood are identified in the Schmiedeleut Hutterites. The study was initiated because of the presence of Wda, an allele found almost exclusively in Hutterites. Eight of the other alleles also have an exceedingly low incidence in a random white population: r'' (.006), R2w (less than .001), LWb (less than .01), ESD*rare (less than .001), GPT*0 (.004), NP*4 (less than .001), GOT2*3 (.001), and C6*0 (.002). The occurrence of this many rare alleles in a population with an estimated maximum of 124 ancestral genomes was surprising but consistent with observations in other isolates. The degree of heterozygosity and large family size make the population ideal for genetic linkage studies.

Blood Group Antigens↗
PubMed1985

GM allotypes in Native Americans: evidence for three distinct migrations across the Bering land bridge.

We report the results of typings, for immunoglobulin G allotypes, of 5392 Native Americans from ten samples, the typings having been performed over the last 20 years. Four cultural groups are represented: the Pimans-Pima and Papago; the Puebloans-Zuni and Hopi; the Pai-Walapai; and the Athabascans-Apache and Navajo. The haplotype Gm1;21 has the highest frequency in each population while Gm1,2;21 is polymorphic in all except the Hopi. The Mongoloid marker Gm1;11,13 is found primarily in the Athabascans. The Caucasian haplotype Gm3;5,11,13 is found at polymorphic frequencies in several of the populations but its frequency is very low or absent among nonadmixed individuals. Although Nei's standard genetic distance analysis demonstrates genetic similarity at the Gm and Km loci, the heterogeneity that does exist is consistent both with what is known about the prehistory of Native Americans and traditional cultural categories. When the current Gm distributions are analyzed with respect to the three-migration hypothesis, there are three distinct Gm distributions for the postulated migrants: Gm1;21 and Gm1,2;21 for the Paleo-Indians 16,000 to 40,000 years ago; Gm1;21, Gm1,2;21, and Gm1;11,13 for the second wave of Na-Dene hunters 12,000 to 14,000 years ago; and Gm1;21 and Gm1;11,13 for the Eskimo-Aleut migration 9,000 years ago. The Pimans, Puebloans, and the Pai are descendents of the Paleo-Indians while the Apache and Navajo are the contemporary populations related to the Na-Dene. Finally, the Gm distribution in Amerindians is found to be consistent with a hypothesis of one migration of Paleo-Indians to South American, while the most likely homeland for the three ancestral populations is found to be in northeastern Asia.

Chromosome Mapping↗
PubMed1984

Genetic polymorphisms among Bukharan and Georgian Jews in Israel.

Bukharan and Georgian Jews have lived in central Asia for many centuries. Approximately 30,000 Bukharan and 37,000 Georgian Jews lived in their respective countries within the USSR between 1920 and 1960. Genetic markers of blood--blood groups, isoenzymes, HLA antigens, and gamma and kappa chain allotypes--were tested in blood samples from 113 Bukharan and 134 Georgian Jews living in Israel. Estimates of inbreeding were low: alpha = 0.0088 for Bukharan and alpha = 0.0011 for Georgian Jews. G6PD deficiency was relatively rare in Bukharan (2.2%) and in Georgian Jews (6.0%), when compared to other Jews in the area. Both populations showed frequencies of some markers similar to that of other Jewish populations, but frequencies of several markers were extremely high or low. Bukharan Jews showed very high frequencies of B(0.243), cDe (0.122), JkA (0.705), HLA-A29 (0.167), A30 (0.116) and B7 (0.124), and AcPA (0.451) and very low ones of O(0.518), CDe(0.422), AcPB (0.513) and GLO1 (0.140). Very high frequencies in Georgian Jews were observed for cDE (0.189), HLA-A3 (0.194), Bw35 (0.300) and GLO1 (0.367). Yet the greatest difference between both populations was in African characters. While in Bukharan Jews Fy was very frequent (0.146) and cDe was the highest observed among Jews (0.122), neither of these markers was detected among the Georgian Jews tested. Yet, another African character, the Gm1,5,10,11,13,14,17,26 haplotype, occurred in both populations (0.028 and 0.042 in Bukharan and Georgian Jews, respectively). Distance measures for Bukharan, Georgian, Iranian, Cochin, and Libyan Jews based on 13 polymorphic loci showed the greatest distance between Cochin Jews and the other populations and the smallest distance between the Georgian and Iranian Jews.

Blood Group Antigens↗