592 results on '"Baker, LA"'
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2. Changing genetic architecture of body mass index from infancy to early adulthood: an individual based pooled analysis of 25 twin cohorts
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Silventoinen, K, Li, W, Jelenkovic, A, Sund, R, Yokoyama, Y, Aaltonen, S, Piirtola, M, Sugawara, M, Tanaka, M, Matsumoto, S, Baker, LA, Tuvblad, C, Tynelius, P, Rasmussen, F, Craig, JM, Saffery, R, Willemsen, G, Bartels, M, van Beijsterveldt, CEM, Martin, NG, Medland, SE, Montgomery, GW, Lichtenstein, P, Krueger, RF, McGue, M, Pahlen, S, Christensen, K, Skytthe, A, Kyvik, KO, Saudino, KJ, Dubois, L, Boivin, M, Brendgen, M, Dionne, G, Vitaro, F, Ullemar, V, Almqvist, C, Magnusson, PKE, Corley, RP, Huibregtse, BM, Knafo-Noam, A, Mankuta, D, Abramson, L, Haworth, CMA, Plomin, R, Bjerregaard-Andersen, M, Beck-Nielsen, H, Sodemann, M, Duncan, GE, Buchwald, D, Burt, SA, Klump, KL, Llewellyn, CH, Fisher, A, Boomsma, D, Sorensen, TIA, Kaprio, J, Silventoinen, K, Li, W, Jelenkovic, A, Sund, R, Yokoyama, Y, Aaltonen, S, Piirtola, M, Sugawara, M, Tanaka, M, Matsumoto, S, Baker, LA, Tuvblad, C, Tynelius, P, Rasmussen, F, Craig, JM, Saffery, R, Willemsen, G, Bartels, M, van Beijsterveldt, CEM, Martin, NG, Medland, SE, Montgomery, GW, Lichtenstein, P, Krueger, RF, McGue, M, Pahlen, S, Christensen, K, Skytthe, A, Kyvik, KO, Saudino, KJ, Dubois, L, Boivin, M, Brendgen, M, Dionne, G, Vitaro, F, Ullemar, V, Almqvist, C, Magnusson, PKE, Corley, RP, Huibregtse, BM, Knafo-Noam, A, Mankuta, D, Abramson, L, Haworth, CMA, Plomin, R, Bjerregaard-Andersen, M, Beck-Nielsen, H, Sodemann, M, Duncan, GE, Buchwald, D, Burt, SA, Klump, KL, Llewellyn, CH, Fisher, A, Boomsma, D, Sorensen, TIA, and Kaprio, J
- Abstract
BACKGROUND: Body mass index (BMI) shows strong continuity over childhood and adolescence and high childhood BMI is the strongest predictor of adult obesity. Genetic factors strongly contribute to this continuity, but it is still poorly known how their contribution changes over childhood and adolescence. Thus, we used the genetic twin design to estimate the genetic correlations of BMI from infancy to adulthood and compared them to the genetic correlations of height. METHODS: We pooled individual level data from 25 longitudinal twin cohorts including 38,530 complete twin pairs and having 283,766 longitudinal height and weight measures. The data were analyzed using Cholesky decomposition offering genetic and environmental correlations of BMI and height between all age combinations from 1 to 19 years of age. RESULTS: The genetic correlations of BMI and height were stronger than the trait correlations. For BMI, we found that genetic correlations decreased as the age between the assessments increased, a trend that was especially visible from early to middle childhood. In contrast, for height, the genetic correlations were strong between all ages. Age-to-age correlations between environmental factors shared by co-twins were found for BMI in early childhood but disappeared altogether by middle childhood. For height, shared environmental correlations persisted from infancy to adulthood. CONCLUSIONS: Our results suggest that the genes affecting BMI change over childhood and adolescence leading to decreasing age-to-age genetic correlations. This change is especially visible from early to middle childhood indicating that new genetic factors start to affect BMI in middle childhood. Identifying mediating pathways of these genetic factors can open possibilities for interventions, especially for those children with high genetic predisposition to adult obesity.
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- 2022
3. Inhibitor of Differentiation 4 (ID4) represses mammary myoepithelial differentiation via inhibition of HEB
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Holliday, H, Roden, D, Junankar, S, Wu, SZ, Baker, LA, Krisp, C, Chan, C-L, McFarland, A, Skhinas, JN, Cox, TR, Pal, B, Huntington, ND, Ormandy, CJ, Carroll, JS, Visvader, J, Molloy, MP, Swarbrick, A, Holliday, H, Roden, D, Junankar, S, Wu, SZ, Baker, LA, Krisp, C, Chan, C-L, McFarland, A, Skhinas, JN, Cox, TR, Pal, B, Huntington, ND, Ormandy, CJ, Carroll, JS, Visvader, J, Molloy, MP, and Swarbrick, A
- Abstract
Inhibitor of differentiation (ID) proteins dimerize with basic HLH (bHLH) transcription factors, repressing transcription of lineage-specification genes across diverse cellular lineages. ID4 is a key regulator of mammary stem cells; however, the mechanism by which it achieves this is unclear. Here, we show that ID4 has a cell autonomous role in preventing myoepithelial differentiation of basal cells in mammary organoids and in vivo. ID4 positively regulates proliferative genes and negatively regulates genes involved in myoepithelial function. Mass spectrometry reveals that ID4 interacts with the bHLH protein HEB, which binds to E-box motifs in regulatory elements of basal developmental genes involved in extracellular matrix and the contractile cytoskeleton. We conclude that high ID4 expression in mammary basal stem cells antagonizes HEB transcriptional activity, preventing myoepithelial differentiation and allowing for appropriate tissue morphogenesis. Downregulation of ID4 during pregnancy modulates gene regulated by HEB, promoting specialization of basal cells into myoepithelial cells.
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- 2021
4. Our Baby, Whose Choice? Certainty, Ambivalence, and Belonging in Male Infant Circumcision
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Baker, Lauren L.
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- 2023
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5. Genetic and environmental influences on human height from infancy through adulthood at different levels of parental education
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Jelenkovic, A, Sund, R, Yokoyama, Y, Latvala, A, Sugawara, M, Tanaka, M, Matsumoto, S, Freitas, DL, Maia, JA, Knafo-Noam, A, Mankuta, D, Abramson, L, Ji, F, Ning, F, Pang, Z, Rebato, E, Saudino, KJ, Cutler, TL, Hopper, JL, Ullemar, V, Almqvist, C, Magnusson, PKE, Cozen, W, Hwang, AE, Mack, TM, Nelson, TL, Whitfield, KE, Sung, J, Kim, J, Lee, J, Lee, S, Llewellyn, CH, Fisher, A, Medda, E, Nistico, L, Toccaceli, V, Baker, LA, Tuvblad, C, Corley, RP, Huibregtse, BM, Derom, CA, Vlietinck, RF, Loos, RJF, Burt, SA, Klump, KL, Silberg, JL, Maes, HH, Krueger, RF, McGue, M, Pahlen, S, Gatz, M, Butler, DA, Harris, JR, Brandt, I, Nilsen, TS, Harden, KP, Tucker-Drob, EM, Franz, CE, Kremen, WS, Lyons, MJ, Lichtenstein, P, Bartels, M, van Beijsterveldt, CEM, Willemsen, G, Oncel, SY, Aliev, F, Jeong, H-U, Hur, Y-M, Turkheimer, E, Boomsma, D, Srensen, TIA, Kaprio, J, Silventoinen, K, Jelenkovic, A, Sund, R, Yokoyama, Y, Latvala, A, Sugawara, M, Tanaka, M, Matsumoto, S, Freitas, DL, Maia, JA, Knafo-Noam, A, Mankuta, D, Abramson, L, Ji, F, Ning, F, Pang, Z, Rebato, E, Saudino, KJ, Cutler, TL, Hopper, JL, Ullemar, V, Almqvist, C, Magnusson, PKE, Cozen, W, Hwang, AE, Mack, TM, Nelson, TL, Whitfield, KE, Sung, J, Kim, J, Lee, J, Lee, S, Llewellyn, CH, Fisher, A, Medda, E, Nistico, L, Toccaceli, V, Baker, LA, Tuvblad, C, Corley, RP, Huibregtse, BM, Derom, CA, Vlietinck, RF, Loos, RJF, Burt, SA, Klump, KL, Silberg, JL, Maes, HH, Krueger, RF, McGue, M, Pahlen, S, Gatz, M, Butler, DA, Harris, JR, Brandt, I, Nilsen, TS, Harden, KP, Tucker-Drob, EM, Franz, CE, Kremen, WS, Lyons, MJ, Lichtenstein, P, Bartels, M, van Beijsterveldt, CEM, Willemsen, G, Oncel, SY, Aliev, F, Jeong, H-U, Hur, Y-M, Turkheimer, E, Boomsma, D, Srensen, TIA, Kaprio, J, and Silventoinen, K
- Abstract
Genetic factors explain a major proportion of human height variation, but differences in mean stature have also been found between socio-economic categories suggesting a possible effect of environment. By utilizing a classical twin design which allows decomposing the variation of height into genetic and environmental components, we tested the hypothesis that environmental variation in height is greater in offspring of lower educated parents. Twin data from 29 cohorts including 65,978 complete twin pairs with information on height at ages 1 to 69 years and on parental education were pooled allowing the analyses at different ages and in three geographic-cultural regions (Europe, North America and Australia, and East Asia). Parental education mostly showed a positive association with offspring height, with significant associations in mid-childhood and from adolescence onwards. In variance decomposition modeling, the genetic and environmental variance components of height did not show a consistent relation to parental education. A random-effects meta-regression analysis of the aggregate-level data showed a trend towards greater shared environmental variation of height in low parental education families. In conclusion, in our very large dataset from twin cohorts around the globe, these results provide only weak evidence for the study hypothesis.
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- 2020
6. Fixing Batson.
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BAKER, LA ROND, MUNGIA, SALVADOR A., ROBINSON, JEFFERY, SILVERSTEIN, LILA J., and TALNER, NANCY
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BATSON v. Kentucky , *RACE discrimination , *PRIMA facie evidence , *POSTRACIALISM - Abstract
The article focuses on the court case Batson v. Kentucky which discusses decision of the U.S. Supreme Court ruling of peremptory challenges of prosecutors in dismissal of jurors without stating cause for doing and mentions violation of Fourteenth Amendment. Topics discussed include rule to disallow discriminatory challenges, prima facie case created by the circumstances, and training begun by prosecutors on providing race-neutral reasons to defeat Batson challenge.
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- 2022
7. The CODATwins Project: The Current Status and Recent Findings of COllaborative Project of Development of Anthropometrical Measures in Twins
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Silventoinen, K, Jelenkovic, A, Yokoyama, Y, Sund, R, Sugawara, M, Tanaka, M, Matsumoto, S, Bogl, LH, Freitas, DL, Maia, JA, Hjelmborg, JVB, Aaltonen, S, Piirtola, M, Latvala, A, Calais-Ferreira, L, Oliveira, VC, Ferreira, PH, Ji, F, Ning, F, Pang, Z, Ordonana, JR, Sanchez-Romera, JF, Colodro-Conde, L, Burt, SA, Klump, KL, Martin, NG, Medland, SE, Montgomery, GW, Kandler, C, McAdams, TA, Eley, TC, Gregory, AM, Saudino, KJ, Dubois, L, Boivin, M, Brendgen, M, Dionne, G, Vitaro, F, Tarnoki, AD, Tarnoki, DL, Haworth, CMA, Plomin, R, Oncel, SY, Aliev, F, Medda, E, Nistico, L, Toccaceli, V, Craig, JM, Saffery, R, Siribaddana, SH, Hotopf, M, Sumathipala, A, Rijsdijk, F, Jeong, H-U, Spector, T, Mangino, M, Lachance, G, Gatz, M, Butler, DA, Gao, W, Yu, C, Li, L, Bayasgalan, G, Narandalai, D, Harden, KP, Tucker-Drob, EM, Christensen, K, Skytthe, A, Kyvik, KO, Derom, CA, Vlietinck, RF, Loos, RJF, Cozen, W, Hwang, AE, Mack, TM, He, M, Ding, X, Silberg, JL, Maes, HH, Cutler, TL, Hopper, JL, Magnusson, PKE, Pedersen, NL, Dahl Aslan, AK, Baker, LA, Tuvblad, C, Bjerregaard-Andersen, M, Beck-Nielsen, H, Sodemann, M, Ullemar, V, Almqvist, C, Tan, Q, Zhang, D, Swan, GE, Krasnow, R, Jang, KL, Knafo-Noam, A, Mankuta, D, Abramson, L, Lichtenstein, P, Krueger, RF, McGue, M, Pahlen, S, Tynelius, P, Rasmussen, F, Duncan, GE, Buchwald, D, Corley, RP, Huibregtse, BM, Nelson, TL, Whitfield, KE, Franz, CE, Kremen, WS, Lyons, MJ, Ooki, S, Brandt, I, Nilsen, TS, Harris, JR, Sung, J, Park, HA, Lee, J, Lee, SJ, Willemsen, G, Bartels, M, Van Beijsterveldt, CEM, Llewellyn, CH, Fisher, A, Rebato, E, Busjahn, A, Tomizawa, R, Inui, F, Watanabe, M, Honda, C, Sakai, N, Hur, Y-M, Sorensen, TIA, Boomsma, DI, Kaprio, J, Silventoinen, K, Jelenkovic, A, Yokoyama, Y, Sund, R, Sugawara, M, Tanaka, M, Matsumoto, S, Bogl, LH, Freitas, DL, Maia, JA, Hjelmborg, JVB, Aaltonen, S, Piirtola, M, Latvala, A, Calais-Ferreira, L, Oliveira, VC, Ferreira, PH, Ji, F, Ning, F, Pang, Z, Ordonana, JR, Sanchez-Romera, JF, Colodro-Conde, L, Burt, SA, Klump, KL, Martin, NG, Medland, SE, Montgomery, GW, Kandler, C, McAdams, TA, Eley, TC, Gregory, AM, Saudino, KJ, Dubois, L, Boivin, M, Brendgen, M, Dionne, G, Vitaro, F, Tarnoki, AD, Tarnoki, DL, Haworth, CMA, Plomin, R, Oncel, SY, Aliev, F, Medda, E, Nistico, L, Toccaceli, V, Craig, JM, Saffery, R, Siribaddana, SH, Hotopf, M, Sumathipala, A, Rijsdijk, F, Jeong, H-U, Spector, T, Mangino, M, Lachance, G, Gatz, M, Butler, DA, Gao, W, Yu, C, Li, L, Bayasgalan, G, Narandalai, D, Harden, KP, Tucker-Drob, EM, Christensen, K, Skytthe, A, Kyvik, KO, Derom, CA, Vlietinck, RF, Loos, RJF, Cozen, W, Hwang, AE, Mack, TM, He, M, Ding, X, Silberg, JL, Maes, HH, Cutler, TL, Hopper, JL, Magnusson, PKE, Pedersen, NL, Dahl Aslan, AK, Baker, LA, Tuvblad, C, Bjerregaard-Andersen, M, Beck-Nielsen, H, Sodemann, M, Ullemar, V, Almqvist, C, Tan, Q, Zhang, D, Swan, GE, Krasnow, R, Jang, KL, Knafo-Noam, A, Mankuta, D, Abramson, L, Lichtenstein, P, Krueger, RF, McGue, M, Pahlen, S, Tynelius, P, Rasmussen, F, Duncan, GE, Buchwald, D, Corley, RP, Huibregtse, BM, Nelson, TL, Whitfield, KE, Franz, CE, Kremen, WS, Lyons, MJ, Ooki, S, Brandt, I, Nilsen, TS, Harris, JR, Sung, J, Park, HA, Lee, J, Lee, SJ, Willemsen, G, Bartels, M, Van Beijsterveldt, CEM, Llewellyn, CH, Fisher, A, Rebato, E, Busjahn, A, Tomizawa, R, Inui, F, Watanabe, M, Honda, C, Sakai, N, Hur, Y-M, Sorensen, TIA, Boomsma, DI, and Kaprio, J
- Abstract
The COllaborative project of Development of Anthropometrical measures in Twins (CODATwins) project is a large international collaborative effort to analyze individual-level phenotype data from twins in multiple cohorts from different environments. The main objective is to study factors that modify genetic and environmental variation of height, body mass index (BMI, kg/m2) and size at birth, and additionally to address other research questions such as long-term consequences of birth size. The project started in 2013 and is open to all twin projects in the world having height and weight measures on twins with information on zygosity. Thus far, 54 twin projects from 24 countries have provided individual-level data. The CODATwins database includes 489,981 twin individuals (228,635 complete twin pairs). Since many twin cohorts have collected longitudinal data, there is a total of 1,049,785 height and weight observations. For many cohorts, we also have information on birth weight and length, own smoking behavior and own or parental education. We found that the heritability estimates of height and BMI systematically changed from infancy to old age. Remarkably, only minor differences in the heritability estimates were found across cultural-geographic regions, measurement time and birth cohort for height and BMI. In addition to genetic epidemiological studies, we looked at associations of height and BMI with education, birth weight and smoking status. Within-family analyses examined differences within same-sex and opposite-sex dizygotic twins in birth size and later development. The CODATwins project demonstrates the feasibility and value of international collaboration to address gene-by-exposure interactions that require large sample sizes and address the effects of different exposures across time, geographical regions and socioeconomic status.
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- 2019
8. Parental Education and Genetics of BMI from Infancy to Old Age: A Pooled Analysis of 29 Twin Cohorts
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Silventoinen, K, Jelenkovic, A, Latvala, A, Yokoyama, Y, Sund, R, Sugawara, M, Tanaka, M, Matsumoto, S, Aaltonen, S, Piirtola, M, Freitas, DL, Maia, JA, Oncel, SY, Aliev, F, Ji, F, Ning, F, Pang, Z, Rebato, E, Saudino, KJ, Cutler, TL, Hopper, JL, Ullemar, V, Almqvist, C, Magnusson, PKE, Cozen, W, Hwang, AE, Mack, TM, Willemsen, G, Bartels, M, van Beijsterveldt, CEM, Nelson, TL, Whitfield, KE, Sung, J, Kim, J, Lee, J, Lee, S, Llewellyn, CH, Fisher, A, Medda, E, Nistico, L, Toccaceli, V, Baker, LA, Tuvblad, C, Corley, RP, Huibregtse, BM, Derom, CA, Vlietinck, RF, Loos, RJF, Knafo-Noam, A, Mankuta, D, Abramson, L, Burt, SA, Klump, KL, Silberg, JL, Maes, HH, Krueger, RF, McGue, M, Pahlen, S, Gatz, M, Butler, DA, Harris, JR, Nilsen, TS, Harden, KP, Tucker-Drob, EM, Franz, CE, Kremen, WS, Lyons, MJ, Lichtenstein, P, Jeong, H-U, Hur, Y-M, Boomsma, DI, Sorensen, TIA, Kaprio, J, Silventoinen, K, Jelenkovic, A, Latvala, A, Yokoyama, Y, Sund, R, Sugawara, M, Tanaka, M, Matsumoto, S, Aaltonen, S, Piirtola, M, Freitas, DL, Maia, JA, Oncel, SY, Aliev, F, Ji, F, Ning, F, Pang, Z, Rebato, E, Saudino, KJ, Cutler, TL, Hopper, JL, Ullemar, V, Almqvist, C, Magnusson, PKE, Cozen, W, Hwang, AE, Mack, TM, Willemsen, G, Bartels, M, van Beijsterveldt, CEM, Nelson, TL, Whitfield, KE, Sung, J, Kim, J, Lee, J, Lee, S, Llewellyn, CH, Fisher, A, Medda, E, Nistico, L, Toccaceli, V, Baker, LA, Tuvblad, C, Corley, RP, Huibregtse, BM, Derom, CA, Vlietinck, RF, Loos, RJF, Knafo-Noam, A, Mankuta, D, Abramson, L, Burt, SA, Klump, KL, Silberg, JL, Maes, HH, Krueger, RF, McGue, M, Pahlen, S, Gatz, M, Butler, DA, Harris, JR, Nilsen, TS, Harden, KP, Tucker-Drob, EM, Franz, CE, Kremen, WS, Lyons, MJ, Lichtenstein, P, Jeong, H-U, Hur, Y-M, Boomsma, DI, Sorensen, TIA, and Kaprio, J
- Abstract
OBJECTIVE: The objective of this study was to analyze how parental education modifies the genetic and environmental variances of BMI from infancy to old age in three geographic-cultural regions. METHODS: A pooled sample of 29 cohorts including 143,499 twin individuals with information on parental education and BMI from age 1 to 79 years (299,201 BMI measures) was analyzed by genetic twin modeling. RESULTS: Until 4 years of age, parental education was not consistently associated with BMI. Thereafter, higher parental education level was associated with lower BMI in males and females. Total and additive genetic variances of BMI were smaller in the offspring of highly educated parents than in those whose parents had low education levels. Especially in North American and Australian children, environmental factors shared by co-twins also contributed to the higher BMI variation in the low education level category. In Europe and East Asia, the associations of parental education with mean BMI and BMI variance were weaker than in North America and Australia. CONCLUSIONS: Lower parental education level is associated with higher mean BMI and larger genetic variance of BMI after early childhood, especially in the obesogenic macro-environment. The interplay among genetic predisposition, childhood social environment, and macro-social context is important for socioeconomic differences in BMI.
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- 2019
9. Does the sex of one's co-twin affect height and BMI in adulthood? A study of dizygotic adult twins from 31 cohorts
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Bogl, LH, Jelenkovic, A, Vuoksimaa, E, Ahrenfeldt, L, Pietilainen, KH, Stazi, MA, Fagnani, C, D'Ippolito, C, Hur, Y-M, Jeong, H-U, Silberg, JL, Eaves, LJ, Maes, HH, Bayasgalan, G, Narandalai, D, Cutler, TL, Kandler, C, Jang, KL, Christensen, K, Skytthe, A, Kyvik, KO, Cozen, W, Hwang, AE, Mack, TM, Derom, CA, Vlietinck, RF, Nelson, TL, Whitfield, KE, Corley, RP, Huibregtse, BM, McAdams, TA, Eley, TC, Gregory, AM, Krueger, RF, Mcgue, M, Pahlen, S, Willemsen, G, Bartels, M, van Beijsterveldt, TCEM, Pang, Z, Tan, Q, Zhang, D, Martin, NG, Medland, SE, Montgomery, GW, Hjelmborg, JVB, Rebato, E, Swan, GE, Krasnow, R, Busjahn, A, Lichtenstein, P, Oncel, SY, Aliev, F, Baker, LA, Tuvblad, C, Siribaddana, SH, Hotopf, M, Sumathipala, A, Rijsdijk, F, Magnusson, PKE, Pedersen, NL, Aslan, AKD, Ordonana, JR, Sanchez-Romera, JF, Colodro-Conde, L, Duncan, GE, Buchwald, D, Tarnoki, AD, Tarnoki, DL, Yokoyama, Y, Hopper, JL, Loos, RJF, Boomsma, DI, Sorensen, TIA, Silventoinen, K, Kaprio, J, Bogl, LH, Jelenkovic, A, Vuoksimaa, E, Ahrenfeldt, L, Pietilainen, KH, Stazi, MA, Fagnani, C, D'Ippolito, C, Hur, Y-M, Jeong, H-U, Silberg, JL, Eaves, LJ, Maes, HH, Bayasgalan, G, Narandalai, D, Cutler, TL, Kandler, C, Jang, KL, Christensen, K, Skytthe, A, Kyvik, KO, Cozen, W, Hwang, AE, Mack, TM, Derom, CA, Vlietinck, RF, Nelson, TL, Whitfield, KE, Corley, RP, Huibregtse, BM, McAdams, TA, Eley, TC, Gregory, AM, Krueger, RF, Mcgue, M, Pahlen, S, Willemsen, G, Bartels, M, van Beijsterveldt, TCEM, Pang, Z, Tan, Q, Zhang, D, Martin, NG, Medland, SE, Montgomery, GW, Hjelmborg, JVB, Rebato, E, Swan, GE, Krasnow, R, Busjahn, A, Lichtenstein, P, Oncel, SY, Aliev, F, Baker, LA, Tuvblad, C, Siribaddana, SH, Hotopf, M, Sumathipala, A, Rijsdijk, F, Magnusson, PKE, Pedersen, NL, Aslan, AKD, Ordonana, JR, Sanchez-Romera, JF, Colodro-Conde, L, Duncan, GE, Buchwald, D, Tarnoki, AD, Tarnoki, DL, Yokoyama, Y, Hopper, JL, Loos, RJF, Boomsma, DI, Sorensen, TIA, Silventoinen, K, and Kaprio, J
- Abstract
BACKGROUND: The comparison of traits in twins from opposite-sex (OS) and same-sex (SS) dizygotic twin pairs is considered a proxy measure of prenatal hormone exposure. To examine possible prenatal hormonal influences on anthropometric traits, we compared mean height, body mass index (BMI), and the prevalence of being overweight or obese between men and women from OS and SS dizygotic twin pairs. METHODS: The data were derived from the COllaborative project of Development of Anthropometrical measures in Twins (CODATwins) database, and included 68,494 SS and 53,808 OS dizygotic twin individuals above the age of 20 years from 31 twin cohorts representing 19 countries. Zygosity was determined by questionnaires or DNA genotyping depending on the study. Multiple regression and logistic regression models adjusted for cohort, age, and birth year with the twin type as a predictor were carried out to compare height and BMI in twins from OS pairs with those from SS pairs and to calculate the adjusted odds ratios and 95% confidence intervals for being overweight or obese. RESULTS: OS females were, on average, 0.31 cm (95% confidence interval (CI) 0.20, 0.41) taller than SS females. OS males were also, on average, taller than SS males, but this difference was only 0.14 cm (95% CI 0.02, 0.27). Mean BMI and the prevalence of overweight or obesity did not differ between males and females from SS and OS twin pairs. The statistically significant differences between OS and SS twins for height were small and appeared to reflect our large sample size rather than meaningful differences of public health relevance. CONCLUSIONS: We found no evidence to support the hypothesis that prenatal hormonal exposure or postnatal socialization (i.e., having grown up with a twin of the opposite sex) has a major impact on height and BMI in adulthood.
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- 2017
10. The Role of Resistin Level and Genetic Study for Patients with Hypercholesterolemia
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Hidayet, HJ, primary and Baker, LA, additional
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- 2017
- Full Text
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11. Genetic and environmental effects on body mass index from infancy to the onset of adulthood: an individual-based pooled analysis of 45 twin cohorts participating in the COllaborative project of Development of Anthropometrical measures in Twins (CODATwins)
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Silventoinen, K, Jelenkovic, A, Sund, R, Hur, Y-M, Yokoyama, Y, Honda, C, Hjelmborg, JV, Möller, S, Ooki, S, Aaltonen, S, Ji, F, Ning, F, Pang, Z, Rebato, E, Busjahn, A, Kandler, C, Saudino, KJ, Jang, KL, Cozen, W, Hwang, AE, Mack, TM, Gao, W, Yu, C, Li, L, Corley, RP, Huibregtse, BM, Christensen, K, Skytthe, A, Kyvik, KO, Derom, CA, Vlietinck, RF, Loos, RJ, Heikkilä, K, Wardle, J, Llewellyn, CH, Fisher, A, McAdams, TA, Eley, TC, Gregory, AM, He, M, Ding, X, Bjerregaard-Andersen, M, Beck-Nielsen, H, Sodemann, M, Tarnoki, AD, Tarnoki, DL, Stazi, MA, Fagnani, C, D'Ippolito, C, Knafo-Noam, A, Mankuta, D, Abramson, L, Burt, SA, Klump, KL, Silberg, JL, Eaves, LJ, Maes, HH, Krueger, RF, McGue, M, Pahlen, S, Gatz, M, Butler, DA, Bartels, M, van Beijsterveldt, TC, Craig, Jeffrey, Saffery, R, Freitas, DL, Maia, JA, Dubois, L, Boivin, M, Brendgen, M, Dionne, G, Vitaro, F, Martin, NG, Medland, SE, Montgomery, GW, Chong, Y, Swan, GE, Krasnow, R, Magnusson, PK, Pedersen, NL, Tynelius, P, Lichtenstein, P, Haworth, CM, Plomin, R, Bayasgalan, G, Narandalai, D, Harden, KP, Tucker-Drob, EM, Öncel, SY, Aliev, F, Spector, T, Mangino, M, Lachance, G, Baker, LA, Tuvblad, C, Duncan, GE, Buchwald, D, Willemsen, G, Rasmussen, F, Goldberg, JH, Sørensen, TI, Boomsma, DI, Kaprio, J, Silventoinen, K, Jelenkovic, A, Sund, R, Hur, Y-M, Yokoyama, Y, Honda, C, Hjelmborg, JV, Möller, S, Ooki, S, Aaltonen, S, Ji, F, Ning, F, Pang, Z, Rebato, E, Busjahn, A, Kandler, C, Saudino, KJ, Jang, KL, Cozen, W, Hwang, AE, Mack, TM, Gao, W, Yu, C, Li, L, Corley, RP, Huibregtse, BM, Christensen, K, Skytthe, A, Kyvik, KO, Derom, CA, Vlietinck, RF, Loos, RJ, Heikkilä, K, Wardle, J, Llewellyn, CH, Fisher, A, McAdams, TA, Eley, TC, Gregory, AM, He, M, Ding, X, Bjerregaard-Andersen, M, Beck-Nielsen, H, Sodemann, M, Tarnoki, AD, Tarnoki, DL, Stazi, MA, Fagnani, C, D'Ippolito, C, Knafo-Noam, A, Mankuta, D, Abramson, L, Burt, SA, Klump, KL, Silberg, JL, Eaves, LJ, Maes, HH, Krueger, RF, McGue, M, Pahlen, S, Gatz, M, Butler, DA, Bartels, M, van Beijsterveldt, TC, Craig, Jeffrey, Saffery, R, Freitas, DL, Maia, JA, Dubois, L, Boivin, M, Brendgen, M, Dionne, G, Vitaro, F, Martin, NG, Medland, SE, Montgomery, GW, Chong, Y, Swan, GE, Krasnow, R, Magnusson, PK, Pedersen, NL, Tynelius, P, Lichtenstein, P, Haworth, CM, Plomin, R, Bayasgalan, G, Narandalai, D, Harden, KP, Tucker-Drob, EM, Öncel, SY, Aliev, F, Spector, T, Mangino, M, Lachance, G, Baker, LA, Tuvblad, C, Duncan, GE, Buchwald, D, Willemsen, G, Rasmussen, F, Goldberg, JH, Sørensen, TI, Boomsma, DI, and Kaprio, J
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- 2016
12. Genetic and environmental influences on adult human height across birth cohorts from 1886 to 1994
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Jelenkovic, A, Hur, Y-M, Sund, R, Yokoyama, Y, Siribaddana, SH, Hotopf, M, Sumathipala, A, Rijsdijk, F, Tan, Q, Zhang, D, Pang, Z, Aaltonen, S, Heikkila, K, Oncel, SY, Aliev, F, Rebato, E, Tarnoki, AD, Tarnoki, DL, Christensen, K, Skytthe, A, Kyvik, KO, Silberg, JL, Eaves, LJ, Maes, HH, Cutler, TL, Hopper, JL, Ordonana, JR, Sanchez-Romera, JF, Colodro-Conde, L, Cozen, W, Hwang, AE, Mack, TM, Sun, J, Song, Y-M, Yang, S, Lee, K, Franz, CE, Kremen, WS, Lyons, MJ, Busjahn, A, Nelson, TL, Whitfield, KE, Kandler, C, Jang, KL, Gatz, M, Butler, DA, Stazi, MA, Fagnani, C, D'Ippolito, C, Duncan, GE, Buchwald, D, Derom, CA, Vlietinck, RF, Loos, RJF, Martin, NG, Medland, SE, Montgomery, GW, Jeong, H-U, Swan, GE, Krasnow, R, Magnusson, PKE, Pedersen, NL, Dahl-Aslan, AK, McAdams, TA, Eley, TC, Gregory, AM, Tynelius, P, Baker, LA, Tuvblad, C, Bayasgalan, G, Narandalai, D, Lichtenstein, P, Spector, TD, Mangino, M, Lachance, G, Bartels, M, van Beijsterveldt, TCEM, Willemsen, G, Burt, SA, Klump, KL, Harris, JR, Brandt, I, Nilsen, TS, Krueger, RF, McGue, M, Pahlen, S, Corley, RP, Hjelmborg, JVB, Goldberg, JH, Iwatani, Y, Watanabe, M, Honda, C, Inui, F, Rasmussen, F, Huibregtse, BM, Boomsma, DI, Sorensen, TIA, Kaprio, J, Silventoinen, K, Jelenkovic, A, Hur, Y-M, Sund, R, Yokoyama, Y, Siribaddana, SH, Hotopf, M, Sumathipala, A, Rijsdijk, F, Tan, Q, Zhang, D, Pang, Z, Aaltonen, S, Heikkila, K, Oncel, SY, Aliev, F, Rebato, E, Tarnoki, AD, Tarnoki, DL, Christensen, K, Skytthe, A, Kyvik, KO, Silberg, JL, Eaves, LJ, Maes, HH, Cutler, TL, Hopper, JL, Ordonana, JR, Sanchez-Romera, JF, Colodro-Conde, L, Cozen, W, Hwang, AE, Mack, TM, Sun, J, Song, Y-M, Yang, S, Lee, K, Franz, CE, Kremen, WS, Lyons, MJ, Busjahn, A, Nelson, TL, Whitfield, KE, Kandler, C, Jang, KL, Gatz, M, Butler, DA, Stazi, MA, Fagnani, C, D'Ippolito, C, Duncan, GE, Buchwald, D, Derom, CA, Vlietinck, RF, Loos, RJF, Martin, NG, Medland, SE, Montgomery, GW, Jeong, H-U, Swan, GE, Krasnow, R, Magnusson, PKE, Pedersen, NL, Dahl-Aslan, AK, McAdams, TA, Eley, TC, Gregory, AM, Tynelius, P, Baker, LA, Tuvblad, C, Bayasgalan, G, Narandalai, D, Lichtenstein, P, Spector, TD, Mangino, M, Lachance, G, Bartels, M, van Beijsterveldt, TCEM, Willemsen, G, Burt, SA, Klump, KL, Harris, JR, Brandt, I, Nilsen, TS, Krueger, RF, McGue, M, Pahlen, S, Corley, RP, Hjelmborg, JVB, Goldberg, JH, Iwatani, Y, Watanabe, M, Honda, C, Inui, F, Rasmussen, F, Huibregtse, BM, Boomsma, DI, Sorensen, TIA, Kaprio, J, and Silventoinen, K
- Abstract
Human height variation is determined by genetic and environmental factors, but it remains unclear whether their influences differ across birth-year cohorts. We conducted an individual-based pooled analysis of 40 twin cohorts including 143,390 complete twin pairs born 1886-1994. Although genetic variance showed a generally increasing trend across the birth-year cohorts, heritability estimates (0.69-0.84 in men and 0.53-0.78 in women) did not present any clear pattern of secular changes. Comparing geographic-cultural regions (Europe, North America and Australia, and East Asia), total height variance was greatest in North America and Australia and lowest in East Asia, but no clear pattern in the heritability estimates across the birth-year cohorts emerged. Our findings do not support the hypothesis that heritability of height is lower in populations with low living standards than in affluent populations, nor that heritability of height will increase within a population as living standards improve.
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- 2016
13. Genetic and environmental influences on height from infancy to early adulthood: An individual-based pooled analysis of 45 twin cohorts
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Jelenkovic, A, Sund, R, Hur, Y-M, Yokoyama, Y, Hjelmborg, JVB, Moller, S, Honda, C, Magnusson, PKE, Pedersen, NL, Ooki, S, Aaltonen, S, Stazi, MA, Fagnani, C, D'Ippolito, C, Freitas, DL, Maia, JA, Ji, F, Ning, F, Pang, Z, Rebato, E, Busjahn, A, Kandler, C, Saudino, KJ, Jang, KL, Cozen, W, Hwang, AE, Mack, TM, Gao, W, Yu, C, Li, L, Corley, RP, Huibregtse, BM, Derom, CA, Vlietinck, RF, Loos, RJF, Heikkila, K, Wardle, J, Llewellyn, CH, Fisher, A, McAdams, TA, Eley, TC, Gregory, AM, He, M, Ding, X, Bjerregaard-Andersen, M, Beck-Nielsen, H, Sodemann, M, Tarnoki, AD, Tarnoki, DL, Knafo-Noam, A, Mankuta, D, Abramson, L, Burt, SA, Klump, KL, Silberg, JL, Eaves, LJ, Maes, HH, Krueger, RF, McGue, M, Pahlen, S, Gatz, M, Butler, DA, Bartels, M, van Beijsterveldt, TCEM, Craig, JM, Saffery, R, Dubois, L, Boivin, M, Brendgen, M, Dionne, G, Vitaro, F, Martin, NG, Medland, SE, Montgomery, GW, Swan, GE, Krasnow, R, Tynelius, P, Lichtenstein, P, Haworth, CMA, Plomin, R, Bayasgalan, G, Narandalai, D, Harden, KP, Tucker-Drob, EM, Spector, T, Mangino, M, Lachance, G, Baker, LA, Tuvblad, C, Duncan, GE, Buchwald, D, Willemsen, G, Skytthe, A, Kyvik, KO, Christensen, K, Oncel, SY, Aliev, F, Rasmussen, F, Goldberg, JH, Sorensen, TIA, Boomsma, DI, Kaprio, J, Silventoinen, K, Jelenkovic, A, Sund, R, Hur, Y-M, Yokoyama, Y, Hjelmborg, JVB, Moller, S, Honda, C, Magnusson, PKE, Pedersen, NL, Ooki, S, Aaltonen, S, Stazi, MA, Fagnani, C, D'Ippolito, C, Freitas, DL, Maia, JA, Ji, F, Ning, F, Pang, Z, Rebato, E, Busjahn, A, Kandler, C, Saudino, KJ, Jang, KL, Cozen, W, Hwang, AE, Mack, TM, Gao, W, Yu, C, Li, L, Corley, RP, Huibregtse, BM, Derom, CA, Vlietinck, RF, Loos, RJF, Heikkila, K, Wardle, J, Llewellyn, CH, Fisher, A, McAdams, TA, Eley, TC, Gregory, AM, He, M, Ding, X, Bjerregaard-Andersen, M, Beck-Nielsen, H, Sodemann, M, Tarnoki, AD, Tarnoki, DL, Knafo-Noam, A, Mankuta, D, Abramson, L, Burt, SA, Klump, KL, Silberg, JL, Eaves, LJ, Maes, HH, Krueger, RF, McGue, M, Pahlen, S, Gatz, M, Butler, DA, Bartels, M, van Beijsterveldt, TCEM, Craig, JM, Saffery, R, Dubois, L, Boivin, M, Brendgen, M, Dionne, G, Vitaro, F, Martin, NG, Medland, SE, Montgomery, GW, Swan, GE, Krasnow, R, Tynelius, P, Lichtenstein, P, Haworth, CMA, Plomin, R, Bayasgalan, G, Narandalai, D, Harden, KP, Tucker-Drob, EM, Spector, T, Mangino, M, Lachance, G, Baker, LA, Tuvblad, C, Duncan, GE, Buchwald, D, Willemsen, G, Skytthe, A, Kyvik, KO, Christensen, K, Oncel, SY, Aliev, F, Rasmussen, F, Goldberg, JH, Sorensen, TIA, Boomsma, DI, Kaprio, J, and Silventoinen, K
- Abstract
Height variation is known to be determined by both genetic and environmental factors, but a systematic description of how their influences differ by sex, age and global regions is lacking. We conducted an individual-based pooled analysis of 45 twin cohorts from 20 countries, including 180,520 paired measurements at ages 1-19 years. The proportion of height variation explained by shared environmental factors was greatest in early childhood, but these effects remained present until early adulthood. Accordingly, the relative genetic contribution increased with age and was greatest in adolescence (up to 0.83 in boys and 0.76 in girls). Comparing geographic-cultural regions (Europe, North-America and Australia, and East-Asia), genetic variance was greatest in North-America and Australia and lowest in East-Asia, but the relative proportion of genetic variation was roughly similar across these regions. Our findings provide further insights into height variation during childhood and adolescence in populations representing different ethnicities and exposed to different environments.
- Published
- 2016
14. ID4 controls mammary stem cells and marks breast cancers with a stem cell-like phenotype.
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Junankar, S, Baker, LA, Roden, DL, Nair, R, Elsworth, B, Gallego-Ortega, D, Lacaze, P, Cazet, A, Nikolic, I, Teo, WS, Yang, J, McFarland, A, Harvey, K, Naylor, MJ, Lakhani, SR, Simpson, PT, Raghavendra, A, Saunus, J, Madore, J, Kaplan, W, Ormandy, C, Millar, EKA, O'Toole, S, Yun, K, Swarbrick, A, Junankar, S, Baker, LA, Roden, DL, Nair, R, Elsworth, B, Gallego-Ortega, D, Lacaze, P, Cazet, A, Nikolic, I, Teo, WS, Yang, J, McFarland, A, Harvey, K, Naylor, MJ, Lakhani, SR, Simpson, PT, Raghavendra, A, Saunus, J, Madore, J, Kaplan, W, Ormandy, C, Millar, EKA, O'Toole, S, Yun, K, and Swarbrick, A
- Abstract
Basal-like breast cancer (BLBC) is a heterogeneous disease with poor prognosis; however, its cellular origins and aetiology are poorly understood. In this study, we show that inhibitor of differentiation 4 (ID4) is a key regulator of mammary stem cell self-renewal and marks a subset of BLBC with a putative mammary basal cell of origin. Using an ID4GFP knock-in reporter mouse and single-cell transcriptomics, we show that ID4 marks a stem cell-enriched subset of the mammary basal cell population. ID4 maintains the mammary stem cell pool by suppressing key factors required for luminal differentiation. Furthermore, ID4 is specifically expressed by a subset of human BLBC that possess a very poor prognosis and a transcriptional signature similar to a mammary stem cell. These studies identify ID4 as a mammary stem cell regulator, deconvolute the heterogeneity of BLBC and link a subset of mammary stem cells to the aetiology of BLBC.
- Published
- 2015
15. Development of Phenotyping Algorithms for the Identification of Organ Transplant Recipients: Cohort Study
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Wheless, Lee, Baker, Laura, Edwards, LaVar, Anand, Nimay, Birdwell, Kelly, Hanlon, Allison, and Chren, Mary-Margaret
- Subjects
Computer applications to medicine. Medical informatics ,R858-859.7 - Abstract
BackgroundStudies involving organ transplant recipients (OTRs) are often limited to the variables collected in the national Scientific Registry of Transplant Recipients database. Electronic health records contain additional variables that can augment this data source if OTRs can be identified accurately. ObjectiveThe aim of this study was to develop phenotyping algorithms to identify OTRs from electronic health records. MethodsWe used Vanderbilt’s deidentified version of its electronic health record database, which contains nearly 3 million subjects, to develop algorithms to identify OTRs. We identified all 19,817 individuals with at least one International Classification of Diseases (ICD) or Current Procedural Terminology (CPT) code for organ transplantation. We performed a chart review on 1350 randomly selected individuals to determine the transplant status. We constructed machine learning models to calculate positive predictive values and sensitivity for combinations of codes by using classification and regression trees, random forest, and extreme gradient boosting algorithms. ResultsOf the 1350 reviewed patient charts, 827 were organ transplant recipients while 511 had no record of a transplant, and 12 were equivocal. Most patients with only 1 or 2 transplant codes did not have a transplant. The most common reasons for being labeled a nontransplant patient were the lack of data (229/511, 44.8%) or the patient being evaluated for an organ transplant (174/511, 34.1%). All 3 machine learning algorithms identified OTRs with overall >90% positive predictive value and >88% sensitivity. ConclusionsElectronic health records linked to biobanks are increasingly used to conduct large-scale studies but have not been well-utilized in organ transplantation research. We present rigorously evaluated methods for phenotyping OTRs from electronic health records that will enable the use of the full spectrum of clinical data in transplant research. Using several different machine learning algorithms, we were able to identify transplant cases with high accuracy by using only ICD and CPT codes.
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- 2020
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16. Here I Am, Laughing with Boers
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Baker, Laurie
- Published
- 2016
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17. The implications of grandparent coresidence for economic hardship among children in mother-only families.
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Mutchler JE and Baker LA
- Abstract
Estimates suggest that more than 6 million children live with at least one grandparent. Despite evidence establishing the growing prevalence of this arrangement, limited research has focused on estimating the implications of coresidence for the economic well-being of grandchildren. Using data from the 2001 panel of the Survey of Income and Program Participation, this article examines levels of financial hardship among a particularly vulnerable group of children--those living in mother-only families. Findings suggest that children living in mother-only families that include a grandparent are substantially less likely to be living below or near the poverty level, compared with children living in mother-only families without a grandparent present. The financial security of children in these three-generation households is enhanced through significant economic contributions of the grandparents and from household receipt of a wide range of financial resources, including means-tested cash transfers and other income such as Social Security. [ABSTRACT FROM AUTHOR]
- Published
- 2009
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18. Assessing inattention and impulsivity in children during the Go/NoGo task.
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Bezdjian S, Baker LA, Lozano DI, and Raine A
- Abstract
Behavioural performance in the Go/NoGo task was compared with caregiver and teacher reports of inattention and hyperactivity-impulsivity in 1,151 children (N=557 boys; N=594 girls) age 9-10 years old. Errors of commission (NoGo errors) were significantly correlated with symptom counts of hyperactivity-impulsivity, while errors of omission (Go errors) were significantly correlated with symptom counts for inattention in both caregiver and teacher reports. Cross-correlations were also evident, however, such that errors of commission were related to inattention symptoms, and errors of omission were related to hyperactivity-impulsivity. Moreover, hyperactivity-impulsivity and inattention symptoms were highly intercorrelated in both caregiver (r=.52) and teacher reports (r=.70), while errors of commission and omission were virtually uncorrelated in the Go/NoGo task (r=.06). The results highlight the difficulty in disentangling hyperactivity-impulsivity and inattention in questionnaires, and suggest that these constructs may be more clearly distinguished in laboratory measures such as the Go/NoGo task. [ABSTRACT FROM AUTHOR]
- Published
- 2009
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19. A common genetic factor explains the covariation among ADHD ODD and CD symptoms in 9-10 year old boys and girls.
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Tuvblad C, Zheng M, Raine A, Baker LA, Tuvblad, Catherine, Zheng, Mo, Raine, Adrian, and Baker, Laura A
- Abstract
Previous studies examining the covariation among Attention Deficit Hyperactivity Disorder (ADHD), Oppositional Defiant Disorder (ODD) and Conduct Disorder (CD) have yielded inconsistent results. Some studies have concluded that the covariation among these symptoms is due to common genetic influences, whereas others have found a common environmental overlap. The present study investigated the genetic and environmental correlations among these three childhood disorders, based on a sample of 1,219 twins, age 9-10 years. A latent externalizing behavior factor was found to explain the covariance among ADHD, ODD and CD symptoms. Genetic influences explained more than half of the variance in this externalizing factor in both boys and girls. There were also unique genetic and environmental influences in each set of symptoms, suggesting some etiological independence of the three disorders. Our findings have implications for molecular genetic studies trying to identify susceptibility genes for these disorders. [ABSTRACT FROM AUTHOR]
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- 2009
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20. Depressive symptoms among grandparents raising grandchildren: the impact of participation in multiple roles.
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Baker LA and Silverstein M
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- 2008
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21. Terminally ill mum's dying wish
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Baker, Laura
- Published
- 2018
22. Into the woods
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Baker, Laura
- Published
- 2018
23. Dream job for brewer Taylor
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Baker, Laura
- Published
- 2018
24. Into the void
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Baker, Laura
- Published
- 2018
25. Into the void |c / by Laura Baker
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Baker, Laura
- Published
- 2018
26. Athlete 'scared to put on weight'
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Baker, Laura
- Published
- 2018
27. Public Sites Versus Public Sights: The Progressive Response to Outdoor Advertising and the Commercialization of Public Space
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Baker, Laura E
- Published
- 2007
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28. The Relationship Between SCHIP Enrollment and Hospitalizations for Ambulatory Care Sensitive Conditions in California
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Bermudez, Dustin and Baker, Laurence Claude
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- 2005
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29. 'My life had been tipped upside down'
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Baker, Laura
- Published
- 2017
30. Crohn's victim stone's throw from relief
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Baker, Laura
- Published
- 2017
31. From Gordon Ramsay to Chch
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Baker, Laura
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- 2017
32. My Sunday
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Baker, Laura
- Published
- 2017
33. Young chef's first major coup
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Baker, Laura
- Published
- 2017
34. Happiness is the journey / by Laura Baker
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Baker, Laura
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- 2017
35. Happiness is the journey
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Baker, Laura
- Published
- 2017
36. Bailey finds closure with book
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Baker, Laura
- Published
- 2017
37. A suitable homecoming
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Baker, Laura
- Published
- 2017
38. Rollickin expands gelato empire
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Baker, Laura
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- 2017
39. Family's life with triplets 'tough but rewarding'
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Baker, Laura
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- 2017
40. Crohn's sufferer seeks cannabis breakthrough
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Baker, Laura
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- 2017
41. Budget blowout recovery tips
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Baker, Laura
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- 2017
42. Gift of blood saved Emma
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Baker, Laura
- Published
- 2017
43. Inhibition of dihydrostreptomycin action on Mycobacterium smegmatis by monovalent and divalent cation salts
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Walters Cp, Ho Pp, DeLong Dc, Baker La, and Streightoff F
- Subjects
Pharmacology ,Dihydrostreptomycin Sulfate ,Chemistry ,Cations, Divalent ,Sodium ,Articles ,Cations, Monovalent ,Virology ,Molecular biology ,Virus ,Mycobacterium ,Ribonucleic acid polymerase ,Infectious Diseases ,In vivo ,Pharmacology (medical) ,Magnesium ,Salts - Abstract
We have examined and compared the effects of monovalent and divalent cation salts on dihydrostreptomycin (DSM) action against Mycobacterium smegmatis . The Sauton synthetic liquid medium used was supplemented with test salts on the basis of ionic strength (μ). Turbidimetric growth experiments showed that 0.02 M MgSO 4 (μ = 0.08) prevented growth inhibition by 0.1 μg of dihydrostreptomycin per ml, but 0.02 M NaCl (μ = 0.02) did not. However, at molarities equivalent to μ = 0.08, four monovalent cation salts, including NaCl, Na 2 SO 4 , NH 4 Cl, and (NH 4 ) 2 SO 4 , all prevented inhibition by dihydrostreptomycin. When magnesium and sodium salts were compared at μ = 0.02, 0.04, and 0.05, two distinct growth protective patterns were seen. These data were indicative of two different mechanisms of dihydrostreptomycin antagnosim by salts; the first being divalent cation and concentration dependent, and the second being nonspecific and ionic strength dependent. Viability studies supported the existence of two mechanisms.
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- 1975
44. Bucket list walk for charity
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Baker, Laura
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- 2016
45. Shrinking violet book tells weight loss story
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Baker, Laura
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- 2016
46. A rare breed
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Baker, Laura
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- 2016
47. Blind mother told she is 'selfish'
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Baker, Laura
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- 2016
48. Letter from school stuns boy's family
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Baker, Laura
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- 2016
49. School's letter stuns autistic boy's family
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Baker, Laura
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- 2016
50. True Cost Accounting for Food
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Gemmill-Herren, Barbara, Baker, Lauren E., and Daniels, Paula A.
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Agriculture, agribusiness and food production industries ,Development economics and emerging economies ,Applied ecology ,Central / national / federal government policies ,Environmental policy and protocols ,Environmental science, engineering and technology ,Cultural studies: food and society ,bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNA Primary industries::KNAC Agriculture & related industries ,bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCM Development economics & emerging economies ,bic Book Industry Communication::R Earth sciences, geography, environment, planning::RN The environment::RNC Applied ecology ,bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPQ Central government::JPQB Central government policies ,bic Book Industry Communication::R Earth sciences, geography, environment, planning::RN The environment::RND Environmental policy & protocols ,bic Book Industry Communication::T Technology, engineering, agriculture::TQ Environmental science, engineering & technology ,bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFC Cultural studies::JFCV Food & society - Abstract
This book explains how True Cost Accounting is an effective tool we can use to address the pervasive imbalance in our food system. Calls are coming from all quarters that the food system is broken and needs a radical transformation. A system that feeds many yet continues to create both extreme hunger and diet-related diseases, and one which has significant environmental impacts, is not serving the world adequately. This volume argues that True Cost Accounting in our food system can create a framework for a systemic shift. What sounds on the surface like a practice relegated to accountants is ultimately a call for a new lens on the valuation of food and a new relationship with the food we eat, starting with the reform of a system out of balance. From the true cost of corn, rice and water, to incentives for soil health, the chapters economically compare conventional and regenerative, more equitable farming practices in and food system structures, including taking an unflinching look at the true cost of cheap labour. Overall, this volume points towards the potential for our food system to be more human-centred than profit-centred and one that has a more respectful relationship to the planet. It sets forth a path forward based on True Cost Accounting for food. This path seeks to fix our current food metrics, in policy and in practice, by applying a holistic lens that evaluates the actual costs and benefits of different food systems, and the impacts and dependencies between natural systems, human systems, agriculture and food systems. This volume is essential reading for professionals and policymakers involved in developing and reforming the food system, as well as students and scholars working on food policy, food systems and sustainability.
- Published
- 2021
- Full Text
- View/download PDF
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