R. Arlen Price
University of Pennsylvania
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by R. Arlen Price.
Journal of Affective Disorders | 1994
Jennifer D. Lish; Susan Dime-Meenan; Peter C. Whybrow; R. Arlen Price; Robert M. A. Hirschfeld
Members of the National Depressive and Manic-Depressive Association who have bipolar disorder were surveyed. 59% of respondents had their first symptoms during childhood or adolescence. Long delays between symptom onset, treatment-seeking, and receipt of a bipolar diagnosis were common. 45% of respondents currently experience frequent recurrences. Child/adolescent onset was associated with a positive family history, depressive or mixed initial symptoms, and frequent recurrence, with predominantly depressive symptoms. Frequent recurrences were associated with depressive or mixed initial symptoms and depressive episodes, but not with medication non-compliance. Both child/adolescent onset and frequent recurrence were associated with increased social morbidity, which was diminished by effective treatment. Respondents with frequent recurrences were less likely to be treated with mood-stabilizers, more likely to be treated with anti-depressants, or anxiolytics, and more likely to report past anxiety symptoms and diagnoses. 13% of respondents had no medical insurance, and 15% had failed to take medicine for financial reasons. The treatment of bipolar illness could be enhanced by (a) public health efforts to promote early diagnosis and treatment; (b) ensuring adequate trials of mood-stabilizers for patients with frequent recurrences; (c) further research on bipolar disorder with prominent anxiety symptoms; and (c) improved access to mental health care.
American Journal of Human Genetics | 1999
Joseph H. Lee; Danielle R. Reed; Wei-Dong Li; Weizhen Xu; Joo Ej; Robin L. Kilker; Elizabeth Nanthakumar; Michael North; Hakan Sakul; Callum J. Bell; R. Arlen Price
Obesity is a highly prevalent, multigenic trait that predicts increased morbidity and mortality. Here we report results from a genome scan based on 354 markers in 513 members of 92 nuclear families ascertained through extreme obesity and normal body weight. The average marker interval was approximately 10 cM. We examined four correlated obesity phenotypes, including the body-mass index (BMI) (both as a quantitative trait and as a discrete trait with a threshold of BMI > or /=30 kg/m2) and percentage of fat (both as a quantitative trait and as a discrete trait with a threshold of 40%) as assessed by bioelectrical impedance. In the initial stage of the genome scan, four markers in 20q gave positive evidence for linkage, which was consistent across most obesity phenotypes and analytic methods. After saturating 20q with additional markers (25 markers total) in an augmented sample of 713 members from 124 families, we found linkage to several markers in a region, 20q13, previously implicated in both human and animal studies. Three markers (D20S107, D20S211, and D20S149) in 20q13 had empirical P values (based on Monte Carlo simulations, which controlled for multiple testing) < or /=. 01 for single-point analysis. In addition, the parametric, affecteds-only analysis for D20S476 yielded a LOD score of 3.06 (P=. 00009), and the affected-sib-pair test yielded a LOD score of 3.17 (P=.000067). Multipoint analyses further strengthened and localized these findings. This region includes several plausible candidate genes for obesity. Our results suggest that one or more genes affecting obesity are located in 20q13.
Behavior Genetics | 1997
Danielle R. Reed; Alexander A. Bachmanov; Gary K. Beauchamp; Michael G. Tordoff; R. Arlen Price
What an animal chooses to eat can either induce or retard the development of obesity; this review summarizes what is known about the genetic determinants of nutrient selection and its impact on obesity in humans and rodents. The selection of macronutrients in the diet appears to be, in part, heritable. Genes that mediate the consumption of sweet-tasting carbohydrate sources have been mapped and are being isolated and characterized. Excessive dietary fat intake is strongly tied to obesity, and several studies suggest that a preference for fat and the resulting obesity are partially genetically determined. Identifying genes involved in the excess consumption of dietary fat will be an important key to our understanding of the genetic disposition toward common dietary obesity.
Annals of Human Genetics | 1999
Wei-Dong Li; Danielle R. Reed; Joseph H. Lee; Wei Xu; Robin L. Kilker; B. R. Sodam; R. Arlen Price
Few mutations have been found in the human leptin gene and the relationship between leptin gene sequence variation and human overweight is uncertain. To determine whether sequence variation within the leptin gene and its regulatory elements contribute to extreme obesity, we screened ∼3 kb of the 5′ flanking region and the three exons in 125 unrelated extremely obese (BMI ≥ 40 kg/m2) and 86 average weight women (BMI < 27 kg/m2). Within the protein coding regions only one heterozygous silent mutation was found (codon 102; AAC/AAT). Within the 5′ flanking region, six frequent sequence variants were detected (q > 0.10), and the allele frequencies of three of these variants differed between obese and average weight Caucasian women (+19, χ2= 4.46, p= 0.035; −1823, χ2= 4.36, p= 0.037; −2548, χ2= 5.73, p= 0.017). Nine infrequent sequence variants were detected (q < 0.05) but they did not occur more often among obese women compared with those of average‐weight. For extremely obese women, three polymorphisms (+19, −188, and −633) predicted the degree of obesity. Allelic variants may influence the regulation of the leptin gene and thereby influence body weight, particularly among extremely obese women. However, given the low variability in coding regions and the high variability in the 5′ flanking region, discerning the functional significance of each variant is likely to be difficult.
Obesity | 2007
Catherine L. Saunders; Benedetta D. Chiodini; Pak Sham; Cathryn M. Lewis; Victor Abkevich; Adebowale Adeyemo; Mariza de Andrade; Rector Arya; Gerald S. Berenson; John Blangero; Michael Boehnke; Ingrid B. Borecki; Yvon C. Chagnon; Wei Chen; Anthony G. Comuzzie; Hong-Wen Deng; Ravindranath Duggirala; Mary F. Feitosa; Philippe Froguel; Robert L. Hanson; Johannes Hebebrand; Patricia Huezo-Dias; Ahmed H. Kissebah; Wei-Dong Li; Amy Luke; Lisa J. Martin; M W Nash; Miina Öhman; Lyle J. Palmer; Leena Peltonen
Objective: The objective was to provide an overall assessment of genetic linkage data of BMI and BMI‐defined obesity using a nonparametric genome scan meta‐analysis.
Mammalian Genome | 1997
Alexander A. Bachmanov; Danielle R. Reed; Yuro Ninomiya; Masashi Inoue; Michael G. Tordoff; R. Arlen Price; Gary K. Beauchamp
Individual variability in sucrose consumption is prominent in humans and other species. To investigate the genetic contribution to this complex behavior, we conducted behavioral, electrophysiological, and genetic studies, using male progeny of two inbred mouse strains (C57BL/6ByJ [B6] and 129/J [129]) and their F2 hybrids. Two loci on Chromosome (Chr) 4 were responsible for over 50% of the genetic variability in sucrose intake. These loci apparently modulated intake by altering peripheral neural responses to sucrose. One locus affected the response threshold, whereas the other affected the response magnitude. These findings suggest that the majority of difference in sucrose intake between male B6 and 129 mice is due to polymorphisms of two genes that influence receptor or peripheral nervous system activity.
American Journal of Human Genetics | 2005
Chuanhui Dong; Wei-Dong Li; Frank Geller; Lei Lei; Ding Li; Olga Y. Gorlova; Johannes Hebebrand; Christopher I. Amos; Robert D. Nicholls; R. Arlen Price
To detect potentially imprinted, obesity-related genetic loci, we performed genomewide parent-of-origin linkage analyses under an allele-sharing model for discrete traits and under a family regression model for obesity-related quantitative traits, using a European American sample of 1,297 individuals from 260 families, with 391 microsatellite markers. We also used two smaller, independent samples for replication (a sample of 370 German individuals from 89 families and a sample of 277 African American individuals from 52 families). For discrete-trait analysis, we found evidence for a maternal effect in chromosome region 10p12 across the three samples, with LOD scores of 5.69 (single-point) and 4.52 (multipoint) for the pooled sample. For quantitative-trait analysis, we found the strongest evidence for a maternal effect (single-point LOD of 2.85; multipoint LOD of 4.01 for body mass index [BMI] and 3.69 for waist circumference) in region 12q24 and for a paternal effect (single-point LOD of 4.79; multipoint LOD of 3.72 for BMI) in region 13q32, in the European American sample. The results suggest that parent-of-origin effects, perhaps including genomic imprinting, may play a role in human obesity.
PLOS ONE | 2011
Kai Wang; Wei-Dong Li; Clarence K. Zhang; Zuoheng Wang; Joseph T. Glessner; Struan F. A. Grant; Hongyu Zhao; Hakon Hakonarson; R. Arlen Price
Large-scale genome-wide association studies (GWAS) have identified many loci associated with body mass index (BMI), but few studies focused on obesity as a binary trait. Here we report the results of a GWAS and candidate SNP genotyping study of obesity, including extremely obese cases and never overweight controls as well as families segregating extreme obesity and thinness. We first performed a GWAS on 520 cases (BMI>35 kg/m2) and 540 control subjects (BMI<25 kg/m2), on measures of obesity and obesity-related traits. We subsequently followed up obesity-associated signals by genotyping the top ∼500 SNPs from GWAS in the combined sample of cases, controls and family members totaling 2,256 individuals. For the binary trait of obesity, we found 16 genome-wide significant signals within the FTO gene (strongest signal at rs17817449, P = 2.5×10−12). We next examined obesity-related quantitative traits (such as total body weight, waist circumference and waist to hip ratio), and detected genome-wide significant signals between waist to hip ratio and NRXN3 (rs11624704, P = 2.67×10−9), previously associated with body weight and fat distribution. Our study demonstrated how a relatively small sample ascertained through extreme phenotypes can detect genuine associations in a GWAS.
Physiology & Behavior | 2001
Alexander A. Bachmanov; Danielle R. Reed; Michael G. Tordoff; R. Arlen Price; Gary K. Beauchamp
Purified carbohydrates and fats are usually palatable to humans and other animals, and their consumption often induces weight gain and accumulation of fat. In this study, we examined consumption of complex carbohydrates (cornstarch and Polycose) and fats (soybean oil and margarine) in mice from two inbred strains, C57BL/6ByJ and 129P3/J. At lower concentrations of liquid nutrients tested using two-bottle tests, when the amounts consumed had negligible energy content, the C57BL/6ByJ mice had higher acceptance of Polycose and soybean oil. This was probably due to strain differences in chemosensory perception of Polycose and oil. At higher concentrations, the mice consumed a substantial part of their daily energy from the macronutrient sources, however, there were no or only small strain differences in nutrient consumption. These small differences were probably due to strain variation in body size. The two strains also did not differ in chow intake. Despite similar energy intakes, access to the nutrients resulted in greater body weight (BW) gain in the C57BL/6ByJ mice than in the 129P3/J mice. The diet-induced weight gain was examined in detail in groups of 2-month-old C57BL/6ByJ and 129P3/J mice given ether chow, or chow and margarine to eat. Access to margarine did not increase total energy consumption of either strain. It increased BW and adiposity of the C57BL/6ByJ mice, but only after they reached the age of approximately 3 months. There were no differences in BW and adiposity between control and margarine-exposed 129P3/J mice. The results suggest that diet-induced adiposity in the B6 mice depends on age and does not depend on hyperphagia.
Behavior Genetics | 1991
R. Arlen Price; Irving I. Gottesman
We report analyses of data on body fat from a cohort of 34 separated monozygotic twin pairs (MZA) and a matched sample of 38 pairs of monozygotic twins reared together (MZT) originally studied by James Shields. The correlation for MZA pairs was. 61 and the correlation for MZT pairs was. 75. These correlations did not differ significantly, nor did correlations differ between MZA pairs subclassified as having been raised in relatively more or less similar environments. Our results suggest important roles for both genes and environment in the accumulation of body fat and support other adoption studies in suggesting that adult environments rather than rearing environments are the most important nongenetic determinants of levels of body fat in adults.