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Chaarani B, Hahn S, Allgaier N, Adise S, Owens MM, Juliano AC, Yuan DK, Loso H, Ivanciu A, Albaugh MD, Dumas J, Mackey S, Laurent J, Ivanova M, Hagler DJ, Cornejo MD, Hatton S, Agrawal A, Aguinaldo L, Ahonen L, Aklin W, Anokhin AP, Arroyo J, Avenevoli S, Babcock D, Bagot K, Baker FC, Banich MT, Barch DM, Bartsch H, Baskin-Sommers A, Bjork JM, Blachman-Demner D, Bloch M, Bogdan R, Bookheimer SY, Breslin F, Brown S, Calabro FJ, Calhoun V, Casey BJ, Chang L, Clark DB, Cloak C, Constable RT, Constable K, Corley R, Cottler LB, Coxe S, Dagher RK, Dale AM, Dapretto M, Delcarmen-Wiggins R, Dick AS, Do EK, Dosenbach NUF, Dowling GJ, Edwards S, Ernst TM, Fair DA, Fan CC, Feczko E, Feldstein-Ewing SW, Florsheim P, Foxe JJ, Freedman EG, Friedman NP, Friedman-Hill S, Fuemmeler BF, Galvan A, Gee DG, Giedd J, Glantz M, Glaser P, Godino J, Gonzalez M, Gonzalez R, Grant S, Gray KM, Haist F, Harms MP, Hawes S, Heath AC, Heeringa S, Heitzeg MM, Hermosillo R, Herting MM, Hettema JM, Hewitt JK, Heyser C, Hoffman E, Howlett K, Huber RS, Huestis MA, Hyde LW, Iacono WG, Infante MA, Irfanoglu O, Isaiah A, Iyengar S, Jacobus J, James R, Jean-Francois B, Jernigan T, Karcher NR, Kaufman A, Kelley B, Kit B, Ksinan A, Kuperman J, Laird AR, Larson C, LeBlanc K, Lessov-Schlagger C, Lever N, Lewis DA, Lisdahl K, Little AR, Lopez M, Luciana M, Luna B, Madden PA, Maes HH, Makowski C, Marshall AT, Mason MJ, Matochik J, McCandliss BD, McGlade E, Montoya I, Morgan G, Morris A, Mulford C, Murray P, Nagel BJ, Neale MC, Neigh G, Nencka A, Noronha A, Nixon SJ, Palmer CE, Pariyadath V, Paulus MP, Pelham WE, Pfefferbaum D, Pierpaoli C, Prescot A, Prouty D, Puttler LI, Rajapaske N, Rapuano KM, Reeves G, Renshaw PF, Riedel MC, Rojas P, de la Rosa M, Rosenberg MD, Ross MJ, Sanchez M, Schirda C, Schloesser D, Schulenberg J, Sher KJ, Sheth C, Shilling PD, Simmons WK, Sowell ER, Speer N, Spittel M, Squeglia LM, Sripada C, Steinberg J, Striley C, Sutherland MT, Tanabe J, Tapert SF, Thompson W, Tomko RL, Uban KA, Vrieze S, Wade NE, Watts R, Weiss S, Wiens BA, Williams OD, Wilbur A, Wing D, Wolff-Hughes D, Yang R, Yurgelun-Todd DA, Zucker RA, Potter A, Garavan HP. Baseline brain function in the preadolescents of the ABCD Study. Nat Neurosci 2021;24:1176-1186. [PMID: 34099922 PMCID: PMC8947197 DOI: 10.1038/s41593-021-00867-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 04/30/2021] [Indexed: 02/05/2023]

Affiliation(s)

B Chaarani Department of Psychiatry, University of Vermont, Burlington, VT, USA.
S Hahn Department of Psychiatry, University of Vermont, Burlington, VT, USA
N Allgaier Department of Psychiatry, University of Vermont, Burlington, VT, USA
S Adise Department of Psychiatry, University of Vermont, Burlington, VT, USA
M M Owens Department of Psychiatry, University of Vermont, Burlington, VT, USA
A C Juliano Department of Psychiatry, University of Vermont, Burlington, VT, USA
D K Yuan Department of Psychiatry, University of Vermont, Burlington, VT, USA
H Loso Department of Psychiatry, University of Vermont, Burlington, VT, USA
A Ivanciu Department of Psychiatry, University of Vermont, Burlington, VT, USA
M D Albaugh Department of Psychiatry, University of Vermont, Burlington, VT, USA
J Dumas Department of Psychiatry, University of Vermont, Burlington, VT, USA
S Mackey Department of Psychiatry, University of Vermont, Burlington, VT, USA
J Laurent Department of Psychiatry, University of Vermont, Burlington, VT, USA
M Ivanova Department of Psychiatry, University of Vermont, Burlington, VT, USA
D J Hagler University of California, San Diego, La Jolla, CA, USA
M D Cornejo Institute of Physics UC, Pontificia Universidad Catolica de Chile, Pontificia, Chile
S Hatton University of California, San Diego, La Jolla, CA, USA
A Agrawal Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
L Aguinaldo University of California, San Diego, La Jolla, CA, USA
L Ahonen University of Pittsburgh, Pittsburgh, PA, USA
W Aklin National Institute on Drug Abuse, Bethesda, MD, USA
A P Anokhin Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
J Arroyo National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
S Avenevoli National Institute of Mental Health, Bethesda, MD, USA
D Babcock National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
K Bagot Icahn School of Medicine at Mount Sinai, New York, NY, USA
F C Baker SRI International, Menlo Park, CA, USA
M T Banich University of Colorado, Boulder, CO, USA
D M Barch Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
H Bartsch Haukeland University Hospital, Bergen, Norway
A Baskin-Sommers Yale University, New Haven, CT, USA
J M Bjork Virginia Commonwealth University, Richmond, VA, USA
D Blachman-Demner NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
M Bloch National Cancer Institute, Bethesda, MD, USA
R Bogdan Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
S Y Bookheimer University of California, Los Angeles, CA, USA
F Breslin Laureate Institute for Brain Research, Tulsa, OK, USA
S Brown University of California, San Diego, La Jolla, CA, USA
F J Calabro University of Pittsburgh, Pittsburgh, PA, USA
V Calhoun University of Colorado, Boulder, CO, USA Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
B J Casey Yale University, New Haven, CT, USA
L Chang University of Maryland School of Medicine, Baltimore, MD, USA
D B Clark University of Pittsburgh, Pittsburgh, PA, USA
C Cloak University of Maryland School of Medicine, Baltimore, MD, USA
R T Constable Yale University, New Haven, CT, USA
K Constable National Institute on Drug Abuse, Bethesda, MD, USA
R Corley University of Colorado, Boulder, CO, USA
L B Cottler University of Florida, Gainesville, FL, USA
S Coxe Florida International University, Miami, FL, USA
R K Dagher National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
A M Dale University of California, San Diego, La Jolla, CA, USA
M Dapretto University of California, Los Angeles, CA, USA
R Delcarmen-Wiggins NIH Office of Research on Women's Health, Bethesda, MD, USA
A S Dick Florida International University, Miami, FL, USA
E K Do Virginia Commonwealth University, Richmond, VA, USA
N U F Dosenbach Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
G J Dowling National Institute on Drug Abuse, Bethesda, MD, USA
S Edwards University of Maryland School of Medicine, Baltimore, MD, USA
T M Ernst University of Maryland School of Medicine, Baltimore, MD, USA
D A Fair Oregon Health & Science University, Portland, OR, USA
C C Fan Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
E Feczko Oregon Health & Science University, Portland, OR, USA
S W Feldstein-Ewing Oregon Health & Science University, Portland, OR, USA
P Florsheim University of Wisconsin, Milwaukee, WI, USA
J J Foxe University of Rochester, Rochester, NY, USA
E G Freedman University of Rochester, Rochester, NY, USA
N P Friedman University of Colorado, Boulder, CO, USA
S Friedman-Hill National Institute of Mental Health, Bethesda, MD, USA
B F Fuemmeler Virginia Commonwealth University, Richmond, VA, USA
A Galvan University of California, Los Angeles, CA, USA
D G Gee Yale University, New Haven, CT, USA
J Giedd University of California, San Diego, La Jolla, CA, USA
M Glantz National Institute on Drug Abuse, Bethesda, MD, USA
P Glaser Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
J Godino University of California, San Diego, La Jolla, CA, USA
M Gonzalez Children's Hospital Los Angeles, Los Angeles, CA, USA
R Gonzalez Florida International University, Miami, FL, USA
S Grant National Institute on Drug Abuse, Bethesda, MD, USA
K M Gray Medical University of South Carolina, Charleston, SC, USA
F Haist University of California, San Diego, La Jolla, CA, USA
M P Harms Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
S Hawes Florida International University, Miami, FL, USA
A C Heath University of California, San Diego, La Jolla, CA, USA
S Heeringa University of Michigan, Ann Arbor, MI, USA
M M Heitzeg University of Michigan, Ann Arbor, MI, USA
R Hermosillo Oregon Health & Science University, Portland, OR, USA
M M Herting University of Southern California, Los Angeles, CA, USA
J M Hettema Virginia Commonwealth University, Richmond, VA, USA
J K Hewitt University of Colorado, Boulder, CO, USA
C Heyser University of California, San Diego, La Jolla, CA, USA
E Hoffman National Institute on Drug Abuse, Bethesda, MD, USA
K Howlett National Institute on Drug Abuse, Bethesda, MD, USA
R S Huber University of Utah, Salt Lake City, UT, USA
M A Huestis Thomas Jefferson University, Philadelphia, PA, USA
L W Hyde University of Michigan, Ann Arbor, MI, USA
W G Iacono University of Minnesota, Minneapolis, MN, USA
M A Infante University of California, San Diego, La Jolla, CA, USA
O Irfanoglu National Institute of Biomedical Imaging and Bioengineering, Bethesda, MD, USA
A Isaiah University of Maryland School of Medicine, Baltimore, MD, USA
S Iyengar National Endowment for the Arts, Washington DC, USA
J Jacobus University of California, San Diego, La Jolla, CA, USA
R James Virginia Commonwealth University, Richmond, VA, USA
B Jean-Francois National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
T Jernigan University of California, San Diego, La Jolla, CA, USA
N R Karcher Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
A Kaufman National Cancer Institute, Bethesda, MD, USA
B Kelley National Institute of Justice, Washington DC, USA
B Kit National Heart, Lung, and Blood Institute, Bethesda, MD, USA
A Ksinan Virginia Commonwealth University, Richmond, VA, USA
J Kuperman University of California, San Diego, La Jolla, CA, USA
A R Laird Florida International University, Miami, FL, USA
C Larson University of Wisconsin, Milwaukee, WI, USA
K LeBlanc National Institute on Drug Abuse, Bethesda, MD, USA
C Lessov-Schlagger Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
N Lever University of Maryland School of Medicine, Baltimore, MD, USA
D A Lewis University of Pittsburgh, Pittsburgh, PA, USA
K Lisdahl University of Wisconsin, Milwaukee, WI, USA
A R Little National Institute on Drug Abuse, Bethesda, MD, USA
M Lopez National Institute on Drug Abuse, Bethesda, MD, USA
M Luciana University of Minnesota, Minneapolis, MN, USA
B Luna University of Pittsburgh, Pittsburgh, PA, USA
P A Madden Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
H H Maes Virginia Commonwealth University, Richmond, VA, USA
C Makowski University of California, San Diego, La Jolla, CA, USA
A T Marshall Children's Hospital Los Angeles, Los Angeles, CA, USA
M J Mason University of Tennessee, Knoxville, TN, USA
J Matochik National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
B D McCandliss Stanford University, Stanford, CA, USA
E McGlade University of Utah, Salt Lake City, UT, USA
I Montoya National Institute on Drug Abuse, Bethesda, MD, USA
G Morgan National Cancer Institute, Bethesda, MD, USA
A Morris Oklahoma State University, Stillwater, OK, USA
C Mulford National Institute on Drug Abuse, Bethesda, MD, USA
P Murray National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
B J Nagel Oregon Health & Science University, Portland, OR, USA
M C Neale Virginia Commonwealth University, Richmond, VA, USA
G Neigh Virginia Commonwealth University, Richmond, VA, USA
A Nencka Medical College of Wisconsin, Milwaukee, WI, USA
A Noronha National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
S J Nixon University of Florida, Gainesville, FL, USA
C E Palmer University of California, San Diego, La Jolla, CA, USA
V Pariyadath National Institute on Drug Abuse, Bethesda, MD, USA
M P Paulus Laureate Institute for Brain Research, Tulsa, OK, USA
W E Pelham Florida International University, Miami, FL, USA
D Pfefferbaum SRI International, Menlo Park, CA, USA
C Pierpaoli Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA
A Prescot University of Utah, Salt Lake City, UT, USA
D Prouty SRI International, Menlo Park, CA, USA
L I Puttler University of Michigan, Ann Arbor, MI, USA
N Rajapaske National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
K M Rapuano Yale University, New Haven, CT, USA
G Reeves University of Maryland School of Medicine, Baltimore, MD, USA
P F Renshaw University of Utah, Salt Lake City, UT, USA
M C Riedel Florida International University, Miami, FL, USA
P Rojas Florida International University, Miami, FL, USA
M de la Rosa Florida International University, Miami, FL, USA
M D Rosenberg University of Chicago, Chicago, IL, USA
M J Ross University of Colorado Anschutz Medical Campus, Aurora, CO, USA
M Sanchez Florida International University, Miami, FL, USA
C Schirda University of Pittsburgh, Pittsburgh, PA, USA
D Schloesser NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
J Schulenberg University of Michigan, Ann Arbor, MI, USA
K J Sher University of Missouri, Columbia, MO, USA
C Sheth University of Utah, Salt Lake City, UT, USA
P D Shilling University of California, San Diego, La Jolla, CA, USA
W K Simmons Laureate Institute for Brain Research, Tulsa, OK, USA
E R Sowell Children's Hospital Los Angeles, Los Angeles, CA, USA
N Speer University of Colorado, Boulder, CO, USA
M Spittel NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
L M Squeglia Medical University of South Carolina, Charleston, SC, USA
C Sripada University of Michigan, Ann Arbor, MI, USA
J Steinberg Virginia Commonwealth University, Richmond, VA, USA
C Striley University of Florida, Gainesville, FL, USA
M T Sutherland Florida International University, Miami, FL, USA
J Tanabe University of Colorado, Boulder, CO, USA
S F Tapert University of California, San Diego, La Jolla, CA, USA
W Thompson University of California, San Diego, La Jolla, CA, USA
R L Tomko Medical University of South Carolina, Charleston, SC, USA
K A Uban University of California, Irvine, CA, USA
S Vrieze University of Minnesota, Minneapolis, MN, USA
N E Wade University of California, San Diego, La Jolla, CA, USA
R Watts Yale University, New Haven, CT, USA
S Weiss National Institute on Drug Abuse, Bethesda, MD, USA
B A Wiens University of Florida, Gainesville, FL, USA
O D Williams Florida International University, Miami, FL, USA
A Wilbur SRI International, Menlo Park, CA, USA
D Wing University of California, San Diego, La Jolla, CA, USA
D Wolff-Hughes NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
R Yang University of California, San Diego, La Jolla, CA, USA
D A Yurgelun-Todd University of Utah, Salt Lake City, UT, USA
R A Zucker University of Michigan, Ann Arbor, MI, USA
A Potter Department of Psychiatry, University of Vermont, Burlington, VT, USA
H P Garavan Department of Psychiatry, University of Vermont, Burlington, VT, USA.

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Munoz E, Scott S, Corley R, Wadsworth SJ, Sliwinski MJ, Reynolds CA. THE ROLE OF NEIGHBORHOOD STRESS ON COGNITIVE FUNCTION: A COORDINATED ANALYSIS. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open

Trubenstein B, Haberstick B, Corley R, Wadsworth S, Reynolds C. ACTIVITY INTERESTS AND TALENTS IN RELATION TO COGNITIVE PERFORMANCE: A PROSPECTIVE STUDY. Innov Aging 2017. [DOI: 10.1093/geroni/igx004.1698] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open

Munoz E, Corley R, Wadsworth S, Reynolds C. THE EFFECT OF NEIGHBORHOOD CONTEXT ON COGNITIVE FUNCTION IN INDIVIDUALS APPROACHING MIDLIFE. Innov Aging 2017. [DOI: 10.1093/geroni/igx004.383] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open

Kirman CR, Sweeney LM, Corley R, Gargas ML. Using physiologically-based pharmacokinetic modeling to address nonlinear kinetics and changes in rodent physiology and metabolism due to aging and adaptation in deriving reference values for propylene glycol methyl ether and propylene glycol methyl ether acetate. Risk Anal 2005;25:271-84. [PMID: 15876203 DOI: 10.1111/j.1539-6924.2005.00588.x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]

Abstract

Reference values, including an oral reference dose (RfD) and an inhalation reference concentration (RfC), were derived for propylene glycol methyl ether (PGME), and an oral RfD was derived for its acetate (PGMEA). These values were based on transient sedation observed in F344 rats and B6C3F1 mice during a two-year inhalation study. The dose-response relationship for sedation was characterized using internal dose measures as predicted by a physiologically-based pharmacokinetic (PBPK) model for PGME and its acetate. PBPK modeling was used to account for changes in rodent physiology and metabolism due to aging and adaptation, based on data collected during Weeks 1, 2, 26, 52, and 78 of a chronic inhalation study. The peak concentration of PGME in richly perfused tissues (i.e., brain) was selected as the most appropriate internal dose measure based on a consideration of the mode of action for sedation and similarities in tissue partitioning between brain and other richly perfused tissues. Internal doses (peak tissue concentrations of PGME) were designated as either no-observed-adverse-effect levels (NOAELs) or lowest-observed-adverse-effect levels (LOAELs) based on the presence or the absence of sedation at each time point, species, and sex in the two-year study. Distributions of the NOAEL and LOAEL values expressed in terms of internal dose were characterized using an arithmetic mean and standard deviation, with the mean internal NOAEL serving as the basis for the reference values, which was then divided by appropriate uncertainty factors. Where data were permitting, chemical-specific adjustment factors were derived to replace default uncertainty factor values of 10. Nonlinear kinetics, which was predicted by the model in all species at PGME concentrations exceeding 100 ppm, complicate interspecies, and low-dose extrapolations. To address this complication, reference values were derived using two approaches that differ with respect to the order in which these extrapolations were performed: (1) default approach of interspecies extrapolation to determine the human equivalent concentration (PBPK modeling) followed by uncertainty factor application, and (2) uncertainty factor application followed by interspecies extrapolation (PBPK modeling). The resulting reference values for these two approaches are substantially different, with values from the latter approach being seven-fold higher than those from the former approach. Such a striking difference between the two approaches reveals an underlying issue that has received little attention in the literature regarding the application of uncertainty factors and interspecies extrapolations to compounds where saturable kinetics occur in the range of the NOAEL. Until such discussions have taken place, reference values based on the former approach are recommended for risk assessments involving human exposures to PGME and PGMEA.

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Van Hulle CA, Corley R, Zahn-Waxler C, Kagan J, Hewitt JK. An exploration of the genetic and environmental etiology of heart rate in infancy and middle childhood. Twin Res 2000;3:259-65. [PMID: 11463147 DOI: 10.1375/136905200320565238] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]

Van Hulle CA, Corley R, Zahn-Waxler C, Kagan J, Hewitt JK. Early childhood heart rate does not predict externalizing behavior problems at age 7 years. J Am Acad Child Adolesc Psychiatry 2000;39:1238-44. [PMID: 11026177 DOI: 10.1097/00004583-200010000-00010] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]

Midlarsky E, Kahana E, Corley R, Nemeroff R, Schonbar RA. Altruistic moral judgment among older adults. Int J Aging Hum Dev 1999;49:27-41. [PMID: 10614831 DOI: 10.2190/gln2-g9nf-hhu7-knj4] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]

Alarcón M, Plomin R, Fulker DW, Corley R, De Fries JC. Behav Genet 1999;29:77-77. [DOI: 10.1023/a:1021498124568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]

Alarcón M, Plomin R, Fulker DW, Corley R, DeFries JC. Multivariate path analysis of specific cognitive abilities data at 12 years of age in the Colorado Adoption Project. Behav Genet 1998;28:255-64. [PMID: 9803018 DOI: 10.1023/a:1021667213066] [Citation(s) in RCA: 39] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]

Abstract

A parent-offspring multivariate conditional path model was fitted to specific cognitive abilities data from the Colorado Adoption Project (CAP) when the offspring were 12 years of age. The sample included 175 adoptees, 175 sets of adoptive parents, 175 biological mothers, 34 biological fathers, and 209 nonadopted children and their parents. Consistent with results obtained from multivariate genetic analyses of CAP data obtained at earlier ages, the effects of familial environmental transmission on individual differences in specific cognitive abilities were not significant. Assuming complete isomorphism (i.e., that the genetic and environmental etiologies of individual differences are the same) between the child and the adult measures, the heritability estimates for verbal, spatial, perceptual speed, and visual memory were .26, .35, .38, and .53, respectively. Although the heritability estimate for visual memory is somewhat higher than those for verbal, spatial, and perceptual speed abilities, these estimates are not significantly different. These estimates are higher than those obtained when the adoptees and controls were 4 years old (Rice et al., 1986, 1989); thus, heritabilities of specific cognitive abilities may increase as a function of cognitive development. Alternatively, genetic stability from childhood to adulthood may be greater from 12 years than from 4 years, which would be interpreted as greater heritability by the CAP parent-offspring design. The genetic correlations among the four measures were substantial, ranging from .27 between verbal and spatial abilities to .78 between spatial ability and perceptual speed. However, differences among these correlations are not significant, suggesting that their covariation may be due to general cognitive ability. Finally, estimates of bivariate-heritability indicate that on average about half of the phenotypic correlations among the four specific cognitive ability measures are due to genetic effects.

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Plomin R, Corley R, Caspi A, Fulker DW, DeFries J. Adoption results for self-reported personality: evidence for nonadditive genetic effects? J Pers Soc Psychol 1998;75:211-8. [PMID: 9686459 DOI: 10.1037/0022-3514.75.1.211] [Citation(s) in RCA: 85] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]

Simpson VJ, Rikke BA, Costello JM, Corley R, Johnson TE. Identification of a genetic region in mice that specifies sensitivity to propofol. Anesthesiology 1998;88:379-89. [PMID: 9477059 DOI: 10.1097/00000542-199802000-00017] [Citation(s) in RCA: 19] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]

Abstract

BACKGROUND

Long-sleep (LS) and short-sleep (SS) mice, initially selected for differential sensitivity to ethanol, also exhibit differential sensitivity to propofol. By interbreeding LS and SS mice to obtain progeny whose chromosomes are a patchwork of the LS and SS chromosomes, the authors determined whether differential propofol sensitivity cosegregates with any particular chromosomal region(s). Such cosegregation is the essence of genetic linkage mapping and a first step toward isolating a gene that can modulate propofol sensitivity in mammals. A gene underlying a quantitative trait such as anesthetic sensitivity is commonly called a quantitative trait locus (QTL).

METHODS

The propofol dose was 20 mg/kg injected retroorbitally. Sensitivity was measured as the duration of the loss of righting reflex (LORR). The LORR and propofol brain levels at awakening were determined for 24 LSXSS recombinant-inbred (RI) strains, derived by intercrossing LS and SS for two generations followed by >20 generations of inbreeding. A genetic linkage between LORR and an albino mutation on chromosome 7 was investigated further using 164 second-generation progeny (F2s) from intercrossing inbred LS and inbred SS mice, similar to the LSXSS RIs except F2s are not inbred. The linkage between propofol sensitivity and the albino locus also was investigated using additional genetic markers on chromosome 7. Statistical significance was assessed by interval mapping using a regression method for RIs and Mapmaker/QTL (Whitehead Institute, Cambridge, MA) for F2s.

RESULTS

Genetic mapping in the LSXSS RIs revealed a QTL tightly linked to the Tyr (albino) locus that accounts for nearly all of the genetic difference in propofol sensitivity between LS and SS mice. Analysis of propofol brain levels at awakening indicated that this QTL results from differential neurosensitivity. Mapping in F2s confirmed the genetic linkage to Tyr. Mice (ISS c/c x C57BL/6 c2j/C) that differed only by an albino mutation at Tyr were not differentially sensitive to propofol.

CONCLUSIONS

A single QTL, called Lorp1, underlies most of the genetic difference in propofol neurosensitivity between LS and SS mice. Although this QTL is tightly linked to Tyr, propofol sensitivity is not modulated by albinism. For mapping this QTL, the LSXSS RIs proved to be an especially powerful resource, localizing the candidate-gene region to a 99% confidence interval of only 2.5 centimorgans.

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Reznick JS, Corley R, Robinson J. A longitudinal twin study of intelligence in the second year. Monogr Soc Res Child Dev 1997;62:i-vi, 1-154; discussion 155-60. [PMID: 9185344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]

Abstract

Data from 408 pairs of identical and same-sex fraternal twins assessed at home and in the laboratory at 14, 20, and 24 months are used to describe cognitive development in the second year and to identify genetic and environmental influences on phenotypic similarity. The primary dependent variables are the Bayley Mental Development Index and separate constructs (based on items from the Bayley and the Sequenced Inventory of Communication Development) to measure nonverbal ability, expressive language, and receptive language. These variables are supplemented with laboratory tests of word comprehension, visual attentiveness, and memory for locations. Various patterns of development emerge for separate constructs, for females versus males on each construct, and for individuals across constructs. These data suggest developmental transitions for many infants during the second year, but the timing of these transitions varies by measure. The dependent variables tend to be intercorrelated and are reasonably stable for individuals, with greater stability late in the second year, suggesting either increasing stability or more effective measurement. Expressive and receptive language scores are correlated and have comparable patterns of change within individuals, but there are also differences (e.g., receptive language accounts for the most variance in MDI at each age and across ages). There are genetic effects on MDI at each age and effects of shared environment at 20 and 24 months. Analyses of separate constructs reveal distinct patterns. Effects on nonverbal abilities are entirely genetic. Effects on language are primarily environmental, but genetic influence emerges for expressive language at 20 and 24 months and for receptive language at 14 months. Visual attentiveness tended to reveal effects comparable to the nonverbal construct, and word comprehension was related to the receptive composite. Scores on the memory for locations task were relatively uninformative. A Cholesky decomposition is used to identify influences that account for the same variance at each age (i.e., promote continuity) and that account for new variance at each assessment (i.e., promote change) and to explore overlap and distinctiveness among measures at each age.

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Flint J, Corley R. Do animal models have a place in the genetic analysis of quantitative human behavioural traits? J Mol Med (Berl) 1996;74:515-21. [PMID: 8892056 DOI: 10.1007/bf00204977] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]

Abstract

It seems that the genetic basis of common psychiatric diseases such as schizophrenia and manic-depressive psychosis is amenable to the genetic mapping strategies that have been successful in other complex disorders such as diabetes. The next challenge is the genetic dissection of quantitative behavioural traits such as mood, personality and intelligence. Quantitative traits pose new problems for gene cloning experiments. We argue that one way forward is by using animal models. One of the features of quantitative traits is that the DNA sequence variants which are responsible for them are unlikely to be immediately recognizable. In contrast to many qualitative traits where a discrete phenotypic difference is often the consequence of an inactivating mutation, the allelic variation responsible for quantitative traits probably has a more subtle basis. This distinction means that strategies to clone the genetic basis of quantitative behavioural traits will have to rely on functional assays of alleles thought to be important in determining the phenotype. We suggest that an efficient strategy for detecting sequences that give rise to quantitative behavioural traits can be devised in the mouse. The importance and utility of the mouse for quantitative trait analysis make it worthwhile to investigate mouse models of human behaviour; these advantages outweigh the difficulties that arise in attempts to validate the animal models. As an example we review the evidence that validates rodent emotionality as an animal model for susceptibility to human anxiety. We show that there is good evidence that rodent emotionality is a central nervous system state with a genetic basis, and that there are neuropharmacological and neuroanatomical parallels with human anxiety. Furthermore, our own work has shown that the genetic basis of the trait is relatively simple, and that the task of characterizing it at a molecular level is feasible. We expect that future experiments will show us how genetic variation gives rise to quantitative behavioural traits.

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Flint J, Corley R, DeFries JC, Fulker DW, Gray JA, Miller S, Collins AC. A simple genetic basis for a complex psychological trait in laboratory mice. Science 1995;269:1432-5. [PMID: 7660127 DOI: 10.1126/science.7660127] [Citation(s) in RCA: 250] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]

Aldrich N, Corley R. HIMSS/HP (Health Information and Management Systems Society/Hewlett-Packard Company) Survey results. Information systems professionals cite trends in healthcare computing. Healthc Inform 1995;12:suppl 16 p.. [PMID: 10142419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]

Plomin R, Emde RN, Braungart JM, Campos J, Corley R, Fulker DW, Kagan J, Reznick JS, Robinson J, Zahn-Waxler C. Genetic change and continuity from fourteen to twenty months: the MacArthur Longitudinal Twin Study. Child Dev 1993;64:1354-76. [PMID: 8222877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]

Emde RN, Plomin R, Robinson JA, Corley R, DeFries J, Fulker DW, Reznick JS, Campos J, Kagan J, Zahn-Waxler C. Temperament, emotion, and cognition at fourteen months: the MacArthur Longitudinal Twin Study. Child Dev 1992;63:1437-55. [PMID: 1446561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]

Coon H, Carey G, Corley R, Fulker DW. Identifying children in the Colorado Adoption Project at risk for conduct disorder. J Am Acad Child Adolesc Psychiatry 1992;31:503-11. [PMID: 1592784 DOI: 10.1097/00004583-199205000-00018] [Citation(s) in RCA: 30] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]

Corley R, Allen D. Multivariate diallel analysis of ethanol withdrawal symptoms in mice. Alcohol Clin Exp Res 1988;12:99-104. [PMID: 3279866 DOI: 10.1111/j.1530-0277.1988.tb00140.x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]

Delmas-Marsalet Y, Woodbury M, Corley R, Amos DB. [Microlymphocytotoxicity test with anti-IgG antiglobulin and cross reactivity of HL-A antigens]. Nouv Rev Fr Hematol 1974;14:409-16. [PMID: 4277879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]

Peters JP, McKay D, Corley R, Lang EK. Arteriography in the diagnosis of osteogenic sarcoma. J Indiana State Med Assoc 1970;63:1196-7. [PMID: 5274317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]