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Biomedical subjects

David Reich

Publications and source records attributed to David Reich.

At least 19 recordsLinked to original sources

Admixture mapping identifies 8q24 as a prostate cancer risk locus in African-American men.

A whole-genome admixture scan in 1,597 African Americans identified a 3.8 Mb interval on chromosome 8q24 as significantly associated with susceptibility to prostate cancer [logarithm of odds (LOD) = 7.1]. The increased risk because of inheriting African ancestry is greater in men diagnosed before 72 years of age (P < 0.00032) and may contribute to the epidemiological observation that the higher risk for prostate cancer in African Americans is greatest in younger men (and attenuates with older age). The same region was recently identified through linkage analysis of prostate cancer, followed by fine-mapping. We strongly replicated this association (P < 4.2 x 10(-9)) but find that the previously described alleles do not explain more than a fraction of the admixture signal. Thus, admixture mapping indicates a major, still-unidentified risk gene for prostate cancer at 8q24, motivating intense work to find it.

Black or African American↗

Principal components analysis corrects for stratification in genome-wide association studies.

Population stratification--allele frequency differences between cases and controls due to systematic ancestry differences-can cause spurious associations in disease studies. We describe a method that enables explicit detection and correction of population stratification on a genome-wide scale. Our method uses principal components analysis to explicitly model ancestry differences between cases and controls. The resulting correction is specific to a candidate marker's variation in frequency across ancestral populations, minimizing spurious associations while maximizing power to detect true associations. Our simple, efficient approach can easily be applied to disease studies with hundreds of thousands of markers.

Algorithms↗

Six year disease free survival after liver transplantation in a patient with T3 gallbladder carcinoma: case presentation and review of the literature.

BACKGROUND: The incidence of gallbladder carcinoma in cirrhotics is unknown. Known risk factors are primary sclerosing cholangitis and polypoid masses. CASE PRESENTATION: A sixty year old with primary sclerosing cholangitis, cirrhosis, and gallbladder polyps underwent liver transplantation. A polypoid lesion measuring 1.5 x 0.5 cm was found on the fundus of the gallbladder. Histological examination revealed moderately differentiated adenocarcinoma with full thickness penetration of the gallbladder encroaching liver parenchyma. Angiolymphatic invasion was noted. The lymph nodes, the cystic duct and the common duct were free of tumor (T3N0M0). Extensive evaluation did not demonstrate metastasis. No chemotherapy was given. He is currently six years post procedure and free of disease. CONCLUSION: "Incidentally" discovered stage IIA gallbladder carcinoma may not negatively affect long term survival after liver transplantation.

Journal Article↗

Genetic evidence for complex speciation of humans and chimpanzees.

The genetic divergence time between two species varies substantially across the genome, conveying important information about the timing and process of speciation. Here we develop a framework for studying this variation and apply it to about 20 million base pairs of aligned sequence from humans, chimpanzees, gorillas and more distantly related primates. Human-chimpanzee genetic divergence varies from less than 84% to more than 147% of the average, a range of more than 4 million years. Our analysis also shows that human-chimpanzee speciation occurred less than 6.3 million years ago and probably more recently, conflicting with some interpretations of ancient fossils. Most strikingly, chromosome X shows an extremely young genetic divergence time, close to the genome minimum along nearly its entire length. These unexpected features would be explained if the human and chimpanzee lineages initially diverged, then later exchanged genes before separating permanently.

Animals↗

Population structure and eigenanalysis.

Current methods for inferring population structure from genetic data do not provide formal significance tests for population differentiation. We discuss an approach to studying population structure (principal components analysis) that was first applied to genetic data by Cavalli-Sforza and colleagues. We place the method on a solid statistical footing, using results from modern statistics to develop formal significance tests. We also uncover a general "phase change" phenomenon about the ability to detect structure in genetic data, which emerges from the statistical theory we use, and has an important implication for the ability to discover structure in genetic data: for a fixed but large dataset size, divergence between two populations (as measured, for example, by a statistic like FST) below a threshold is essentially undetectable, but a little above threshold, detection will be easy. This means that we can predict the dataset size needed to detect structure.

Computer Simulation↗

Variants associated with common disease are not unusually differentiated in frequency across populations.

Genetic variants that contribute to risk of common disease may differ in frequency across populations more than random variants in the genome do, perhaps because they have been exposed to population-specific natural selection. To assess this hypothesis empirically, we analyzed data from two groups of single-nucleotide polymorphisms (SNPs) that have shown reproducible (n = 9) or reported (n = 39) associations with common diseases. We compared the frequency differentiation (between Europeans and Africans) of the disease-associated SNPs with that of random SNPs in the genome. These common-disease-associated SNPs are not significantly more differentiated across populations than random SNPs. Thus, for the data examined here, ethnicity will not be a good predictor of genotype at many common-disease-associated SNPs, just as it is rarely a good predictor of genotype at random SNPs in the genome.

Black People↗

The case for selection at CCR5-Delta32.

The C-C chemokine receptor 5, 32 base-pair deletion (CCR5-Delta32) allele confers strong resistance to infection by the AIDS virus HIV. Previous studies have suggested that CCR5-Delta32 arose within the past 1,000 y and rose to its present high frequency (5%-14%) in Europe as a result of strong positive selection, perhaps by such selective agents as the bubonic plague or smallpox during the Middle Ages. This hypothesis was based on several lines of evidence, including the absence of the allele outside of Europe and long-range linkage disequilibrium at the locus. We reevaluated this evidence with the benefit of much denser genetic maps and extensive control data. We find that the pattern of genetic variation at CCR5-Delta32 does not stand out as exceptional relative to other loci across the genome. Moreover using newer genetic maps, we estimated that the CCR5-Delta32 allele is likely to have arisen more than 5,000 y ago. While such results can not rule out the possibility that some selection may have occurred at C-C chemokine receptor 5 (CCR5), they imply that the pattern of genetic variation seen at CCR5-Delta32 is consistent with neutral evolution. More broadly, the results have general implications for the design of future studies to detect the signs of positive selection in the human genome.

Alleles↗

A whole-genome admixture scan finds a candidate locus for multiple sclerosis susceptibility.

Multiple sclerosis is a common disease with proven heritability, but, despite large-scale attempts, no underlying risk genes have been identified. Traditional linkage scans have so far identified only one risk haplotype for multiple sclerosis (at HLA on chromosome 6), which explains only a fraction of the increased risk to siblings. Association scans such as admixture mapping have much more power, in principle, to find the weak factors that must explain most of the disease risk. We describe here the first high-powered admixture scan, focusing on 605 African American cases and 1,043 African American controls, and report a locus on chromosome 1 that is significantly associated with multiple sclerosis.

Black or African American↗

Will admixture mapping work to find disease genes?

Admixture mapping is the first experimentally practical method for carrying out a whole-genome association scan, and is thus a promising method for detecting risk factors for common disease. The goal of the community should now be to aggressively test whether the method is useful in practice for localizing disease genes, by carrying out at least three high-powered studies. We also propose a stringent criteria we believe the community should adopt before declaring a statistically significant admixture association to disease.

Chromosome Mapping↗

Comparison of fine-scale recombination rates in humans and chimpanzees.

We compared fine-scale recombination rates at orthologous loci in humans and chimpanzees by analyzing polymorphism data in both species. Strong statistical evidence for hotspots of recombination was obtained in both species. Despite approximately 99% identity at the level of DNA sequence, however, recombination hotspots were found rarely (if at all) at the same positions in the two species, and no correlation was observed in estimates of fine-scale recombination rates. Thus, local patterns of recombination rate have evolved rapidly, in a manner disproportionate to the change in DNA sequence.

Alleles↗

A multicenter evaluation of utility of chest computed tomography and bone scans in liver transplant candidates with stages I and II hepatoma.

OBJECTIVE: To determine utility of practice of chest computed tomography (CCT) and bone scan (BS) in patients with early-stage hepatoma evaluated for transplantation (LT). SUMMARY BACKGROUND DATA: Consensus-based policy mandates routine CCT and BS in LT candidates with hepatoma. No data exist either to support or refute this policy. METHODS: From January 1999 to December 2002, stages I and II hepatoma patients evaluated at 4 centers were included. Scan interpretation was positive, indeterminate, or negative. Outcomes of evaluation and transplantation were compared between groups based on scans. Total charges incurred were derived from mean of charges at the centers. RESULTS: One hundred seventeen stages I and II patients were evaluated. None had positive scans, 78 had negative, 29 had at least 1 indeterminate, and 10 did not have 1 or both scans. Twelve patients were declined listing, 6 from progression of hepatoma but none from CCT or BS findings. Two listed patients were delisted for progression of the hepatoma. Proportion of patients listed, transplanted, clinical and pathologic stage of hepatoma, and recurrence after LT were similar in groups with negative and indeterminate scans. Indeterminate scans led to 6 invasive procedures, 1 patient died of complications of a mediastinal biopsy, and none of the 6 showed metastases. Charges of $2933 were generated per patient evaluated. CONCLUSIONS: Positive yield of routine CCT and BS in patients with hepatoma is very low despite substantial charges and potential complications. CCT and BS performed only when clinically indicated will be a more cost-effective and safer approach.

Adult↗

Calibrating a coalescent simulation of human genome sequence variation.

Population genetic models play an important role in human genetic research, connecting empirical observations about sequence variation with hypotheses about underlying historical and biological causes. More specifically, models are used to compare empirical measures of sequence variation, linkage disequilibrium (LD), and selection to expectations under a "null" distribution. In the absence of detailed information about human demographic history, and about variation in mutation and recombination rates, simulations have of necessity used arbitrary models, usually simple ones. With the advent of large empirical data sets, it is now possible to calibrate population genetic models with genome-wide data, permitting for the first time the generation of data that are consistent with empirical data across a wide range of characteristics. We present here the first such calibrated model and show that, while still arbitrary, it successfully generates simulated data (for three populations) that closely resemble empirical data in allele frequency, linkage disequilibrium, and population differentiation. No assertion is made about the accuracy of the proposed historical and recombination model, but its ability to generate realistic data meets a long-standing need among geneticists. We anticipate that this model, for which software is publicly available, and others like it will have numerous applications in empirical studies of human genetics.

Computer Simulation↗

Posttransplant lymphoproliferative disease presenting as adrenal insufficiency: case report.

This is the first reported case of lymphoproliferative disease presenting with adrenal insufficiency after liver transplantation. A 38-year-old white man was admitted 8 months after transplantation for cryptogenic cirrhosis with fever (38-39 degrees C), chills, cough, and dyspnea. His blood pressure was 100/70 mm Hg, there was pallor of the conjunctiva, and a lymph node was palpable in the left groin. Laboratory analyses revealed the following values: serum sodium concentration (112 mmol/L), potassium (5.4 mmol/L), hemoglobin (7.8 g/L), white blood cell count (7.7 x 10(9)/L), glucose 3.9 (mmol/L), and mildly elevated liver functions. Abdominal ultrasound showed multiple hypoechoic solid-appearing lesions throughout the liver and spleen. Results of a biopsy specimen of the groin node confirmed polymorphic B-cell lymphoma. A negative Epstein- Barr virus screen before transplant became positive. The patient's fever increased to 40 degrees C. He subsequently developed sepsis and later, multiple organ failure. Autopsy confirmed extensive abdominal disease. The adrenal glands had been completely replaced by the tumor. Primary Epstein-Barr virus infection is associated with posttransplant lymphoproliferative disease. Replacement of the adrenal glands with a tumor produces a clinical picture of adrenal insufficiency.

Adrenal Insufficiency↗

A high-density admixture map for disease gene discovery in african americans.

Admixture mapping (also known as "mapping by admixture linkage disequilibrium," or MALD) provides a way of localizing genes that cause disease, in admixed ethnic groups such as African Americans, with approximately 100 times fewer markers than are required for whole-genome haplotype scans. However, it has not been possible to perform powerful scans with admixture mapping because the method requires a dense map of validated markers known to have large frequency differences between Europeans and Africans. To create such a map, we screened through databases containing approximately 450000 single-nucleotide polymorphisms (SNPs) for which frequencies had been estimated in African and European population samples. We experimentally confirmed the frequencies of the most promising SNPs in a multiethnic panel of unrelated samples and identified 3011 as a MALD map (1.2 cM average spacing). We estimate that this map is approximately 70% informative in differentiating African versus European origins of chromosomal segments. This map provides a practical and powerful tool, which is freely available without restriction, for screening for disease genes in African American patient cohorts. The map is especially appropriate for those diseases that differ in incidence between the parental African and European populations.

Black or African American↗

Methods for high-density admixture mapping of disease genes.

Admixture mapping (also known as "mapping by admixture linkage disequilibrium," or MALD) has been proposed as an efficient approach to localizing disease-causing variants that differ in frequency (because of either drift or selection) between two historically separated populations. Near a disease gene, patient populations descended from the recent mixing of two or more ethnic groups should have an increased probability of inheriting the alleles derived from the ethnic group that carries more disease-susceptibility alleles. The central attraction of admixture mapping is that, since gene flow has occurred recently in modern populations (e.g., in African and Hispanic Americans in the past 20 generations), it is expected that admixture-generated linkage disequilibrium should extend for many centimorgans. High-resolution marker sets are now becoming available to test this approach, but progress will require (a). computational methods to infer ancestral origin at each point in the genome and (b). empirical characterization of the general properties of linkage disequilibrium due to admixture. Here we describe statistical methods to estimate the ancestral origin of a locus on the basis of the composite genotypes of linked markers, and we show that this approach accurately estimates states of ancestral origin along the genome. We apply this approach to show that strong admixture linkage disequilibrium extends, on average, for 17 cM in African Americans. Finally, we present power calculations under varying models of disease risk, sample size, and proportions of ancestry. Studying approximately 2500 markers in approximately 2500 patients should provide power to detect many regions contributing to common disease. A particularly important result is that the power of an admixture mapping study to detect a locus will be nearly the same for a wide range of mixture scenarios: the mixture proportion should be 10%-90% from both ancestral populations.

Alleles↗

Assessing the impact of population stratification on genetic association studies.

Population stratification refers to differences in allele frequencies between cases and controls due to systematic differences in ancestry rather than association of genes with disease. It has been proposed that false positive associations due to stratification can be controlled by genotyping a few dozen unlinked genetic markers. To assess stratification empirically, we analyzed data from 11 case-control and case-cohort association studies. We did not detect statistically significant evidence for stratification but did observe that assessments based on a few dozen markers lack power to rule out moderate levels of stratification that could cause false positive associations in studies designed to detect modest genetic risk factors. After increasing the number of markers and samples in a case-cohort study (the design most immune to stratification), we found that stratification was in fact present. Our results suggest that modest amounts of stratification can exist even in well designed studies.

Case-Control Studies↗

Impaired IRS-1/PI3-kinase signaling in patients with HCV: a mechanism for increased prevalence of type 2 diabetes.

Patients with hepatitis C virus (HCV) infection have a greater risk of developing type 2 diabetes mellitus. However, the mechanism of this association is unclear. In this study, we examined the potential defects in upstream insulin signaling pathways in liver specimens obtained from nonobese/nondiabetic subjects with HCV infection. Fasting liver biopsy specimens were obtained from 42 HCV-infected subjects and 10 non-HCV-infected subjects matched for age and body mass index. Liver tissues were exposed to insulin and examined for the contents and phosphorylation/activation status of the upstream insulin signaling molecules by immunoprecipitation and Western blot analysis. HCV infection resulted in a trend toward a 2-fold to 3-fold increase in insulin receptor (IR) and insulin receptor substrate (IRS)-1 contents when compared with non-HCV. In contrast, insulin-stimulated IRS-1 tyrosine phosphorylation was decreased by 2-fold in HCV-infected subjects compared with non-HCV-infected subjects (P <.05). The observed reductions in IRS-1 tyrosine phosphorylation were accompanied by a 3.4-fold decrease in IRS-1/p85 phosphatidylinositol 3-kinase (PI3-kinase) association and a 2.5-fold decrease in IRS-1-associated PI3-kinase enzymatic activity (P <.05 vs. non-HCV). This was accompanied by a marked reduction in insulin-stimulated Akt phosphorylation without any alterations in mitogen-activated protein kinase (MAPK) phosphorylation. Cellular contents of the hepatic p85 subunit of PI3-kinase were comparable between HCV-infected and non-HCV-infected subjects. In conclusion, we found that (1). HCV infection leads to a postreceptor defect in IRS-1 association with the IR and (2). insulin signaling defects in hepatic IRS-1 tyrosine phosphorylation and PI3-kinase association/activation may contribute to insulin resistance, which leads to the development of type 2 diabetes mellitus in patients with HCV infection.

Adult↗

Fungal infections in solid organ transplant patients.

BACKGROUND: Solid organ transplantation is becoming increasingly more common in the treatment of end-stage organ failure. Opportunistic fungal infections are a frequent life-threatening complication of transplantation. MATERIALS AND METHODS: In this article, a review of the infections in the different organ transplant recipients is presented. RESULTS: The incidence of fungal infections in organ transplant patients ranges from 2% to 50% depending on the type of organ transplanted, kidney recipients being the least frequent and liver recipients having the highest rate of infection. New antifungal medications and immunosuppressants have changed the spectrum of fungal treatment and prevention. CONCLUSION: Prompt recognition and treatment of infection is imperative for successful therapy. Further advancements in early detection and the development of less toxic medications will lead to refinements in the treatment of fungal infections.

Heart-Lung Transplantation↗