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2. Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics
- Author
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Beaumont, R.N. (Robin N.), Warrington, N.M. (Nicole), Cavadino, A. (Alana), Tyrrell, A.W.R., Nodzenski, M. (Michael), Horikoshi, M. (Momoko), Geller, F. (Frank), Myhre, R. (Ronny), Richmond, R.C. (Rebecca C.), Paternoster, L. (Lavinia), Bradfield, J.P. (Jonathan), Kreiner-Møller, E. (Eskil), Huikari, V. (Ville), Metrustry, S. (Sarah), Lunetta, K.L. (Kathryn), Painter, J.N. (Jodie N.), Hottenga, J.J. (Jouke Jan), Allard, C. (Catherine), Barton, S.J. (Sheila), Espinosa, A. (Ana), Marsh, J.A. (Julie), Potter, C. (Catherine), Zhang, G. (Ge), Ang, W.Q. (Wei), Berry, D. (Diane), Bouchard, L. (Luigi), Das, S. (Shikta), Hakonarson, H. (Hakon), Heikkinen, J. (Jani), Helgeland, Ø. (Øyvind), Hocher, B. (Berthold), Hofman, A. (Albert), Inskip, H.M. (Hazel), Jones, S.E. (Samuel E.), Kogevinas, M. (Manolis), Lind, P.A. (Penelope), Marullo, L. (Letizia), Medland, S.E. (Sarah), Murray, A. (Anna), Murray, J.C. (Jeffrey C.), Njølstad, P.R. (Pa l R.), Nohr, C. (Christian), Reichetzeder, C. (Christoph), Ring, S.M. (Susan), Ruth, K.S. (Katherine S.), Santa-Marina, L. (Loreto), Scholtens, D.M. (Denise M.), Sebert, S. (Sylvain), Sengpiel, V. (Verena), Tuke, M.A. (Marcus A.), Vaudel, M. (Marc), Weedon, M.N. (Michael), Willemsen, G.A.H.M. (Gonneke), Wood, A.R. (Andrew R.), Yaghootkar, H. (Hanieh), Muglia, L.J. (Louis J.), Bartels, M. (Meike), Relton, C.L. (Caroline), Pennell, C.E. (Craig), Chatzi, L. (Leda), Estivill, X. (Xavier), Holloway, J.W. (John W.), Boomsma, D.I. (Dorret), Montgomery, G.W. (Grant W.), Murabito, J. (Joanne), Spector, T.D. (Timothy), Power, C. (Christine), Järvelin, M.-R. (Marjo-Ritta), Bisgaard, H. (Hans), Grant, S.F.A. (Struan F.A.), Sørensen, T.I.A. (Thorkild I.A.), Jaddoe, V.W. (Vincent W.), Jacobsson, B. (Bo), Melbye, M. (Mads), McCarthy, M.I. (Mark I.), Hattersley, A.T. (Andrew), Hayes, M.G. (M. Geoffrey), Frayling, T.M. (Timothy), Hivert, M.-F. (Marie-France), Felix, J.F. (Janine), Hyppönen, E. (Elina), Lowe, W.L. (William L.), Evans, D.M. (David M.), Lawlor, D.A. (Debbie A.), Feenstra, B. (Bjarke), Freathy, R.M. (Rachel), Beaumont, R.N. (Robin N.), Warrington, N.M. (Nicole), Cavadino, A. (Alana), Tyrrell, A.W.R., Nodzenski, M. (Michael), Horikoshi, M. (Momoko), Geller, F. (Frank), Myhre, R. (Ronny), Richmond, R.C. (Rebecca C.), Paternoster, L. (Lavinia), Bradfield, J.P. (Jonathan), Kreiner-Møller, E. (Eskil), Huikari, V. (Ville), Metrustry, S. (Sarah), Lunetta, K.L. (Kathryn), Painter, J.N. (Jodie N.), Hottenga, J.J. (Jouke Jan), Allard, C. (Catherine), Barton, S.J. (Sheila), Espinosa, A. (Ana), Marsh, J.A. (Julie), Potter, C. (Catherine), Zhang, G. (Ge), Ang, W.Q. (Wei), Berry, D. (Diane), Bouchard, L. (Luigi), Das, S. (Shikta), Hakonarson, H. (Hakon), Heikkinen, J. (Jani), Helgeland, Ø. (Øyvind), Hocher, B. (Berthold), Hofman, A. (Albert), Inskip, H.M. (Hazel), Jones, S.E. (Samuel E.), Kogevinas, M. (Manolis), Lind, P.A. (Penelope), Marullo, L. (Letizia), Medland, S.E. (Sarah), Murray, A. (Anna), Murray, J.C. (Jeffrey C.), Njølstad, P.R. (Pa l R.), Nohr, C. (Christian), Reichetzeder, C. (Christoph), Ring, S.M. (Susan), Ruth, K.S. (Katherine S.), Santa-Marina, L. (Loreto), Scholtens, D.M. (Denise M.), Sebert, S. (Sylvain), Sengpiel, V. (Verena), Tuke, M.A. (Marcus A.), Vaudel, M. (Marc), Weedon, M.N. (Michael), Willemsen, G.A.H.M. (Gonneke), Wood, A.R. (Andrew R.), Yaghootkar, H. (Hanieh), Muglia, L.J. (Louis J.), Bartels, M. (Meike), Relton, C.L. (Caroline), Pennell, C.E. (Craig), Chatzi, L. (Leda), Estivill, X. (Xavier), Holloway, J.W. (John W.), Boomsma, D.I. (Dorret), Montgomery, G.W. (Grant W.), Murabito, J. (Joanne), Spector, T.D. (Timothy), Power, C. (Christine), Järvelin, M.-R. (Marjo-Ritta), Bisgaard, H. (Hans), Grant, S.F.A. (Struan F.A.), Sørensen, T.I.A. (Thorkild I.A.), Jaddoe, V.W. (Vincent W.), Jacobsson, B. (Bo), Melbye, M. (Mads), McCarthy, M.I. (Mark I.), Hattersley, A.T. (Andrew), Hayes, M.G. (M. Geoffrey), Frayling, T.M. (Timothy), Hivert, M.-F. (Marie-France), Felix, J.F. (Janine), Hyppönen, E. (Elina), Lowe, W.L. (William L.), Evans, D.M. (David M.), Lawlor, D.A. (Debbie A.), Feenstra, B. (Bjarke), and Freathy, R.M. (Rachel)
- Abstract
Genome-wide association studies of birth weight have focused on fetal genetics, whereas relatively little is known about the role of maternal genetic variation. We aimed to identify maternal genetic variants associated with birth weight that could highlight potentially relevant maternal determinants of fetal growth. We meta-analysed data on up to 8.7 million SNPs in up to 86 577 women of Eu
- Published
- 2018
- Full Text
- View/download PDF
3. Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics
- Author
-
Beaumont, R. N. (Robin N.), Warrington, N. M. (Nicole M.), Cavadino, A. (Alana), Tyrrell, J. (Jessica), Nodzenski, M. (Michael), Horikoshi, M. (Momoko), Geller, F. (Frank), Myhre, R. (Ronny), Richmond, R. C. (Rebecca C.), Paternoster, L. (Lavinia), Bradfield, J. P. (Jonathan P.), Kreiner-Moller, E. (Eskil), Huikari, V. (Ville), Metrustry, S. (Sarah), Lunetta, K. L. (Kathryn L.), Painter, J. N. (Jodie N.), Hottenga, J.-J. (Jouke-Jan), Allard, C. (Catherine), Barton, S. J. (Sheila J.), Espinosa, A. (Ana), Marsh, J. A. (Julie A.), Potter, C. (Catherine), Zhang, G. (Ge), Ang, W. (Wei), Berry, D. J. (Diane J.), Bouchard, L. (Luigi), Das, S. (Shikta), Hakonarson, H. (Hakon), Heikkinen, J. (Jani), Helgeland, O. (Oyvind), Hocher, B. (Berthold), Hofman, A. (Albert), Inskip, H. M. (Hazel M.), Jones, S. E. (Samuel E.), Kogevinas, M. (Manolis), Lind, P. A. (Penelope A.), Marullo, L. (Letizia), Medland, S. E. (Sarah E.), Murray, A. (Anna), Murray, J. C. (Jeffrey C.), Njolstad, P. R. (Pal R.), Nohr, E. A. (Ellen A.), Reichetzeder, C. (Christoph), Ring, S. M. (Susan M.), Ruth, K. S. (Katherine S.), Santa-Marina, L. (Loreto), Scholtens, D. M. (Denise M.), Sebert, S. (Sylvain), Sengpiel, V. (Verena), Tuke, M. A. (Marcus A.), Vaudel, M. (Marc), Weedon, M. N. (Michael N.), Willemsen, G. (Gonneke), Wood, A. R. (Andrew R.), Yaghootkar, H. (Hanieh), Muglia, L. J. (Louis J.), Bartels, M. (Meike), Relton, C. L. (Caroline L.), Pennell, C. E. (Craig E.), Chatzi, L. (Leda), Estivill, X. (Xavier), Holloway, J. W. (John W.), Boomsma, D. I. (Dorret I.), Montgomery, G. W. (Grant W.), Murabito, J. M. (Joanne M.), Spector, T. D. (Tim D.), Power, C. (Christine), Järvelin, M.-R. (Marjo-Ritta), Bisgaard, H. (Hans), Grant, S. F. (Struan F. A.), Sorensen, T. I. (Thorkild I. A.), Jaddoe, V. W. (Vincent W.), Jacobsson, B. (Bo), Melbye, M. (Mads), McCarthy, M. I. (Mark I.), Hattersley, A. T. (Andrew T.), Hayes, M. G. (M. Geoffrey), Frayling, T. M. (Timothy M.), Hivert, M.-F. (Marie-France), Felix, J. F. (Janine F.), Hypponen, E. (Elina), Lowe, W. L. (William L., Jr.), Evans, D. M. (David M.), Lawlor, D. A. (Debbie A.), Feenstra, B. (Bjarke), Freathy, R. M. (Rachel M.), Beaumont, R. N. (Robin N.), Warrington, N. M. (Nicole M.), Cavadino, A. (Alana), Tyrrell, J. (Jessica), Nodzenski, M. (Michael), Horikoshi, M. (Momoko), Geller, F. (Frank), Myhre, R. (Ronny), Richmond, R. C. (Rebecca C.), Paternoster, L. (Lavinia), Bradfield, J. P. (Jonathan P.), Kreiner-Moller, E. (Eskil), Huikari, V. (Ville), Metrustry, S. (Sarah), Lunetta, K. L. (Kathryn L.), Painter, J. N. (Jodie N.), Hottenga, J.-J. (Jouke-Jan), Allard, C. (Catherine), Barton, S. J. (Sheila J.), Espinosa, A. (Ana), Marsh, J. A. (Julie A.), Potter, C. (Catherine), Zhang, G. (Ge), Ang, W. (Wei), Berry, D. J. (Diane J.), Bouchard, L. (Luigi), Das, S. (Shikta), Hakonarson, H. (Hakon), Heikkinen, J. (Jani), Helgeland, O. (Oyvind), Hocher, B. (Berthold), Hofman, A. (Albert), Inskip, H. M. (Hazel M.), Jones, S. E. (Samuel E.), Kogevinas, M. (Manolis), Lind, P. A. (Penelope A.), Marullo, L. (Letizia), Medland, S. E. (Sarah E.), Murray, A. (Anna), Murray, J. C. (Jeffrey C.), Njolstad, P. R. (Pal R.), Nohr, E. A. (Ellen A.), Reichetzeder, C. (Christoph), Ring, S. M. (Susan M.), Ruth, K. S. (Katherine S.), Santa-Marina, L. (Loreto), Scholtens, D. M. (Denise M.), Sebert, S. (Sylvain), Sengpiel, V. (Verena), Tuke, M. A. (Marcus A.), Vaudel, M. (Marc), Weedon, M. N. (Michael N.), Willemsen, G. (Gonneke), Wood, A. R. (Andrew R.), Yaghootkar, H. (Hanieh), Muglia, L. J. (Louis J.), Bartels, M. (Meike), Relton, C. L. (Caroline L.), Pennell, C. E. (Craig E.), Chatzi, L. (Leda), Estivill, X. (Xavier), Holloway, J. W. (John W.), Boomsma, D. I. (Dorret I.), Montgomery, G. W. (Grant W.), Murabito, J. M. (Joanne M.), Spector, T. D. (Tim D.), Power, C. (Christine), Järvelin, M.-R. (Marjo-Ritta), Bisgaard, H. (Hans), Grant, S. F. (Struan F. A.), Sorensen, T. I. (Thorkild I. A.), Jaddoe, V. W. (Vincent W.), Jacobsson, B. (Bo), Melbye, M. (Mads), McCarthy, M. I. (Mark I.), Hattersley, A. T. (Andrew T.), Hayes, M. G. (M. Geoffrey), Frayling, T. M. (Timothy M.), Hivert, M.-F. (Marie-France), Felix, J. F. (Janine F.), Hypponen, E. (Elina), Lowe, W. L. (William L., Jr.), Evans, D. M. (David M.), Lawlor, D. A. (Debbie A.), Feenstra, B. (Bjarke), and Freathy, R. M. (Rachel M.)
- Abstract
Genome-wide association studies of birth weight have focused on fetal genetics, whereas relatively little is known about the role of maternal genetic variation. We aimed to identify maternal genetic variants associated with birth weight that could highlight potentially relevant maternal determinants of fetal growth. We meta-analysed data on up to 8.7 million SNPs in up to 86 577 women of European descent from the Early Growth Genetics (EGG) Consortium and the UK Biobank. We used structural equation modelling (SEM) and analyses of mother–child pairs to quantify the separate maternal and fetal genetic effects. Maternal SNPs at 10 loci (MTNR1B, HMGA2, SH2B3, KCNAB1, L3MBTL3, GCK, EBF1, TCF7L2, ACTL9, CYP3A7) were associated with offspring birth weight at P < 5 × 10−8. In SEM analyses, at least 7 of the 10 associations were consistent with effects of the maternal genotype acting via the intrauterine environment, rather than via effects of shared alleles with the fetus. Variants, or correlated proxies, at many of the loci had been previously associated with adult traits, including fasting glucose (MTNR1B, GCK and TCF7L2) and sex hormone levels (CYP3A7), and one (EBF1) with gestational duration. The identified associations indicate that genetic effects on maternal glucose, cytochrome P450 activity and gestational duration, and potentially on maternal blood pressure and immune function, are relevant for fetal growth. Further characterization of these associations in mechanistic and causal analyses will enhance understanding of the potentially modifiable maternal determinants of fetal growth, with the goal of reducing the morbidity and mortality associated with low and high birth weights.
- Published
- 2018
4. Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics
- Author
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Beaumont, RN, Warrington, NM, Cavadino, A, Tyrrell, J, Nodzenski, M, Horikoshi, M, Geller, F, Myhre, R, Richmond, Rebecca, Paternoster, L, Bradfield, JP, Kreiner-Moller, E, Huikari, V, Metrustry, S, Lunetta, KL, Painter, JN, Hottenga, JJ, Allard, C, Barton, SJ, Espinosa, A, Marsh, JA, Potter, C, Zhang, G, Ang, W, Berry, DJ, Bouchard, L, Das, S, Hakonarson, H, Heikkinen, J, Helgeland, O, Hocher, B, Hofman, Bert, Inskip, HM, Jones, SE, Kogevinas, M, Lind, PA, Marullo, L, Medland, SE, Murray, A, Murray, JC, Njolstad, PR, Nohr, EA, Reichetzeder, C, Ring, SM, Ruth, KS, Santa-Marina, L, Scholtens, DM, Sebert, S, Sengpiel, V, Tuke, MA, Vaudel, M, Weedon, MN, Willemsen, G, Wood, AR, Yaghootkar, H, Muglia, LJ, Bartels, M, Relton, CL, Pennell, CE, Chatzi, L, Estivill, X, Holloway, JW, Boomsma, DI, Montgomery, GW, Murabito, JM, Spector, TD, Power, C, Jarvelin, MR, Bisgaard, H, Grant, SFA, Sorensen, TIA, Jaddoe, Vincent, Jacobsson, B, Melbye, M, McCarthy, MI, Hattersley, AT, Hayes, MG, Frayling, TM, Hivert, MF, Felix, Janine, Hypponen, E, Lowe, WL, Evans, DM, Lawlor, DA, Feenstra, B, Freathy, RM, Beaumont, RN, Warrington, NM, Cavadino, A, Tyrrell, J, Nodzenski, M, Horikoshi, M, Geller, F, Myhre, R, Richmond, Rebecca, Paternoster, L, Bradfield, JP, Kreiner-Moller, E, Huikari, V, Metrustry, S, Lunetta, KL, Painter, JN, Hottenga, JJ, Allard, C, Barton, SJ, Espinosa, A, Marsh, JA, Potter, C, Zhang, G, Ang, W, Berry, DJ, Bouchard, L, Das, S, Hakonarson, H, Heikkinen, J, Helgeland, O, Hocher, B, Hofman, Bert, Inskip, HM, Jones, SE, Kogevinas, M, Lind, PA, Marullo, L, Medland, SE, Murray, A, Murray, JC, Njolstad, PR, Nohr, EA, Reichetzeder, C, Ring, SM, Ruth, KS, Santa-Marina, L, Scholtens, DM, Sebert, S, Sengpiel, V, Tuke, MA, Vaudel, M, Weedon, MN, Willemsen, G, Wood, AR, Yaghootkar, H, Muglia, LJ, Bartels, M, Relton, CL, Pennell, CE, Chatzi, L, Estivill, X, Holloway, JW, Boomsma, DI, Montgomery, GW, Murabito, JM, Spector, TD, Power, C, Jarvelin, MR, Bisgaard, H, Grant, SFA, Sorensen, TIA, Jaddoe, Vincent, Jacobsson, B, Melbye, M, McCarthy, MI, Hattersley, AT, Hayes, MG, Frayling, TM, Hivert, MF, Felix, Janine, Hypponen, E, Lowe, WL, Evans, DM, Lawlor, DA, Feenstra, B, and Freathy, RM
- Published
- 2018
5. Associations Between Fetal Imprinted Genes and Maternal Blood Pressure in Pregnancy
- Author
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Petry, CJ, Sanz Marcos, N, Pimentel, G, Hayes, MG, Nodzenski, M, Scholtens, DM, Hughes, IA, Acerini, CL, Ong, KK, Lowe, WL, Dunger, DB, Petry, Clive [0000-0002-6642-9825], Acerini, Carlo [0000-0003-2121-5871], Ong, Kenneth [0000-0003-4689-7530], Dunger, David [0000-0002-2566-9304], and Apollo - University of Cambridge Repository
- Subjects
meta-analysis ,preeclampsia ,pregnancy-induced ,hypertension ,placenta ,blood pressure - Abstract
In addition to maternal genes and environmental exposures, variation in fetal imprinted genes could also affect maternal blood pressure during pregnancy. Our objective was to test the associations between polymorphic variants in 16 imprinted genes and maternal mean arterial blood pressures in 1160 DNA trios from 2 established birth cohorts (the Cambridge Baby Growth and Wellbeing Studies) and seek replication in 1367 Hyperglycemia and Adverse Pregnancy Outcome Study participants. Significant univariate associations, all independent of fetal sex, were observed in the Cambridge cohorts, including $\textit{FAM99A}$ rs1489945 transmitted from the mother ($\textit{P}$=2×10$^{-4}$), $\textit{DLK1}$ rs10139403 (mother; P=9×10$^{-4}$), $\textit{DLK1}$ rs12147008 (mother; $\textit{P}$=1×10$^{-3}$), $\textit{H19}$ rs217222 (father; $\textit{P}$=1×10$^{-3}$), $\textit{SNRPN}$ rs1453556 (father; $\textit{P}$=1×10$^{-3}$), $\textit{IGF2}$ rs6356 (father; $\textit{P}$=1×10$^{-3}$), and $\textit{NNAT}$ rs6066671 (father; $\textit{P}$=1×10$^{-3}$). In meta-analysis including additional independent Hyperglycemia and Adverse Pregnancy Outcome Study data, the association with maternally transmitted fetal $\textit{DLK1}$ rs10139403 reached genome-wide significance ($\textit{P}$=6.3×10$^{-10}$). With the exception of fetal rs1489945 and rs217222, all of other associations were unidirectional and most were statistically significant. To further explore the significance of these relationships, we developed an allele score based on the univariate findings. The score was strongly associated with maternal blood pressure at 31 weeks ($\textit{P}$=4.1×10$^{-8}$; adjusted $\textit{r}$$^{2}$=5.6%) and 37 weeks of pregnancy ($\textit{P}$=1.1×10$^{-4}$; $\textit{r}$$^{2}$=3.6%), and during the last 2 weeks before parturition ($\textit{P}$=1.1×10$^{-10}$; $\textit{r}$$^{2}$=8.7%). It was also associated with gestational hypertension (odds ratio, 1.54 [range, 1.14-2.09] per allele; $\textit{P}$=0.005; 45 cases and 549 controls). These data support the concept that fetal imprinted genes are related to the development of gestational hypertension.
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- 2016
- Full Text
- View/download PDF
6. Associations between Fetal Imprinted Genes and Maternal Blood Pressure in Pregnancy
- Author
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Petry CJ, Sanz Marcos N, Pimentel G, Hayes MG, Nodzenski M, Scholtens DM, Hughes IA, Acerini CL, Ong KK, Lowe WL, and Dunger DB
- Subjects
blood pressure, hypertension, pregnancy-induced, meta-analysis, placenta, preeclampsia - Abstract
In addition to maternal genes and environmental exposures, variation in fetal imprinted genes could also affect maternal blood pressure during pregnancy. Our objective was to test the associations between polymorphic variants in 16 imprinted genes and maternal mean arterial blood pressures in 1160 DNA trios from 2 established birth cohorts (the Cambridge Baby Growth and Wellbeing Studies) and seek replication in 1367 Hyperglycemia and Adverse Pregnancy Outcome Study participants. Significant univariate associations, all independent of fetal sex, were observed in the Cambridge cohorts, including FAM99A rs1489945 transmitted from the mother (P=2×10(-4)), DLK1 rs10139403 (mother; P=9×10(-4)), DLK1 rs12147008 (mother; P=1×10(-3)), H19 rs217222 (father; P=1×10(-3)), SNRPN rs1453556 (father; P=1×10(-3)), IGF2 rs6356 (father; P=1×10(-3)), and NNAT rs6066671 (father; P=1×10(-3)). In meta-analysis including additional independent Hyperglycemia and Adverse Pregnancy Outcome Study data, the association with maternally transmitted fetal DLK1 rs10139403 reached genome-wide significance (P=6.3×10(-10)). With the exception of fetal rs1489945 and rs217222, all of other associations were unidirectional and most were statistically significant. To further explore the significance of these relationships, we developed an allele score based on the univariate findings. The score was strongly associated with maternal blood pressure at 31 weeks (P=4.1×10(-8); adjusted r(2)=5.6%) and 37 weeks of pregnancy (P=1.1×10(-4); r(2)=3.6%), and during the last 2 weeks before parturition (P=1.1×10(-10); r(2)=8.7%). It was also associated with gestational hypertension (odds ratio, 1.54 [range, 1.14-2.09] per allele; P=0.005; 45 cases and 549 controls). These data support the concept that fetal imprinted genes are related to the development of gestational hypertension.
- Published
- 2016
7. Genome-wide associations for birth weight and correlations with adult disease
- Author
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Horikoshi, M. (Momoko), Beaumont, R.N. (Robin N.), Day, F.R. (Felix), Warrington, N.M. (Nicole), Kooijman, M.N. (Marjolein), Fernandez-Tajes, J. (Juan), Feenstra, B. (Bjarke), Van Zuydam, N.R. (Natalie R.), Gaulton, K. (Kyle), Grarup, N. (Niels), Bradfield, J.P. (Jonathan), Strachan, D.P. (David), Li-Gao, R. (Ruifang), Ahluwalia, T.S. (Tarunveer Singh), Kreiner, E. (Eskil), Rueedi, R. (Rico), Lyytikäinen, L.-P. (Leo-Pekka), Cousminer, D.L. (Diana), Wu, Y. (Ying), Thiering, E. (Elisabeth), Wang, C.A. (Carol A.), Have, C.T. (Christian T.), Hottenga, J.J. (Jouke Jan), Vilor-Tejedor, N. (Natàlia), Joshi, P.K. (Peter), Boh, E.T.H. (Eileen Tai Hui), Ntalla, I. (Ioanna), Pitkanen, N. (Niina), Mahajan, A. (Anubha), Leeuwen, E.M. (Elisa) van, Joro, R. (Raimo), Lagou, V. (Vasiliki), Nodzenski, M. (Michael), Diver, L.A. (Louise A.), Zondervan, K.T. (Krina), Bustamante, M. (Mariona), Marques-Vidal, P. (Pedro), Mercader, J.M. (Josep), Bennett, A.J. (Amanda), Rahmioglu, N. (Nilufer), Nyholt, D.R. (Dale), Ma, R.C.W. (Ronald C. W.), Tam, C.H.T. (Claudia H. T.), Tam, W.H. (Wing Hung), Ganesh, S.K. (Santhi), Rooij, F.J.A. (Frank) van, Jones, S.E. (Samuel E.), Loh, P.-R. (Po-Ru), Ruth, K.S. (Katherine S.), Tuke, M.A. (Marcus A.), Tyrrell, A.W.R., Wood, A.R. (Andrew), Yaghootkar, H. (Hanieh), Scholtens, D.M. (Denise M.), Paternoster, L. (Lavinia), Prokopenko, I. (Inga), Kovacs, P. (Peter), Atalay, M. (Mustafa), Willems, S.M. (Sara), Panoutsopoulou, K. (Kalliope), Wang, X. (Xu), Carstensen, L. (Lisbeth), Geller, F. (Frank), Schraut, K.E. (Katharina E.), Murcia, M. (Mario), Beijsterveldt, C.E.M. (Toos) van, Willemsen, G.A.H.M. (Gonneke), Appel, E.V.R. (Emil V. R.), Fonvig, C.E. (Cilius E.), Trier, C. (Caecilie), Tiesler, C.M.T. (Carla M. T.), Standl, E. (Eberhard), Kutalik, Z. (Zoltán), Bonàs-Guarch, S. (Silvia), Hougaard, D.M. (David), Sánchez, F. (Friman), Torrents, D. (David), Waage, J. (Johannes), Hollegaard, M.V. (Mads V), Haan, H.G. (Hugoline) de, Rosendaal, F.R. (Frits), Medina-Gomez, C. (Carolina), Ring, S.M. (Susan), Hemani, G., Mcmahon, G. (George), Robertson, N.R. (Neil), Groves, C.J. (Christopher), Langenberg, C. (Claudia), Luan, J. (Jian'An), Scott, R.A. (Robert), Zhao, J.H. (Jing Hua), Mentch, F.D. (Frank), MacKenzie, S.M. (Scott M.), Reynolds, R.M. (Rebecca), Lowe Jr., W.L. (William), Tönjes, A. (Anke), Stumvoll, M. (Michael), Lindi, V. (Virpi), Lakka, T.A. (Timo), Duijn, C.M. (Cornelia) van, Kieß, W. (Wieland), KöRner, A. (Antje), Sørensen, T.I.A. (Thorkild), Niinikoski, H. (Harri), Pahkala, K. (Katja), Raitakari, O.T. (Olli T.), Zeggini, E. (Eleftheria), Dedoussis, G.V. (George), Teo, Y.Y. (Yik Ying), Saw, S.-M. (Seang-Mei), Melbye, M. (Mads), Campbell, H. (Harry), Wilson, J.F. (James F.), Vrijheid, M. (Martine), Geus, E.J.C. (Eco) de, Boomsma, D.I. (Dorret), Kadarmideen, H.N. (Haja N.), Holm, J.-C. (Jens-Christian), Hansen, T. (T.), Sebert, S. (Sylvain), Hattersley, A.T. (Andrew), Beilin, L.J. (Lawrence), Newnham, J.P. (John), Pennell, C.E. (Craig), Heinrich, J. (Joachim), Adair, L.S. (Linda), Borja, J.B. (Judith), Mohlke, K.L. (Karen), Hagen, K. (Knut), Widen, E. (Elisabeth), Kähönen, M. (Mika), Viikari, J. (Jorma), Lehtimäki, T. (Terho), Vollenweider, P. (Peter), Bønnelykke, K. (Klaus), Bisgaard, H. (Hans), Mook-Kanamori, D.O. (Dennis), Hofman, A. (Albert), Rivadeneira Ramirez, F. (Fernando), Uitterlinden, A.G. (André), Pisinger, C. (Charlotta), Pedersen, O. (Oluf), Power, C. (Christopher), Hypponen, E. (Elina), Wareham, N.J. (Nick), Hakonarson, H. (Hakon), Davies, E. (Eleanor), Walker, B.R. (Brian R.), Jaddoe, V.W.V. (Vincent), Jarvelin, M.-R. (Marjo-Riitta), Grant, S.F.A. (Struan), Vaag, A.A. (Allan A.), Lawlor, D.A. (Debbie), Frayling, T.M. (Timothy), Smith, A.V. (Davey), Morris, A.P. (Andrew), Ong, K.K. (Ken), Felix, J.F. (Janine), Timpson, N.J. (Nicholas), Perry, J.R.B. (John), Evans, D.M. (David), McCarthy, M.I. (Mark), Freathy, R.M. (Rachel), Horikoshi, M. (Momoko), Beaumont, R.N. (Robin N.), Day, F.R. (Felix), Warrington, N.M. (Nicole), Kooijman, M.N. (Marjolein), Fernandez-Tajes, J. (Juan), Feenstra, B. (Bjarke), Van Zuydam, N.R. (Natalie R.), Gaulton, K. (Kyle), Grarup, N. (Niels), Bradfield, J.P. (Jonathan), Strachan, D.P. (David), Li-Gao, R. (Ruifang), Ahluwalia, T.S. (Tarunveer Singh), Kreiner, E. (Eskil), Rueedi, R. (Rico), Lyytikäinen, L.-P. (Leo-Pekka), Cousminer, D.L. (Diana), Wu, Y. (Ying), Thiering, E. (Elisabeth), Wang, C.A. (Carol A.), Have, C.T. (Christian T.), Hottenga, J.J. (Jouke Jan), Vilor-Tejedor, N. (Natàlia), Joshi, P.K. (Peter), Boh, E.T.H. (Eileen Tai Hui), Ntalla, I. (Ioanna), Pitkanen, N. (Niina), Mahajan, A. (Anubha), Leeuwen, E.M. (Elisa) van, Joro, R. (Raimo), Lagou, V. (Vasiliki), Nodzenski, M. (Michael), Diver, L.A. (Louise A.), Zondervan, K.T. (Krina), Bustamante, M. (Mariona), Marques-Vidal, P. (Pedro), Mercader, J.M. (Josep), Bennett, A.J. (Amanda), Rahmioglu, N. (Nilufer), Nyholt, D.R. (Dale), Ma, R.C.W. (Ronald C. W.), Tam, C.H.T. (Claudia H. T.), Tam, W.H. (Wing Hung), Ganesh, S.K. (Santhi), Rooij, F.J.A. (Frank) van, Jones, S.E. (Samuel E.), Loh, P.-R. (Po-Ru), Ruth, K.S. (Katherine S.), Tuke, M.A. (Marcus A.), Tyrrell, A.W.R., Wood, A.R. (Andrew), Yaghootkar, H. (Hanieh), Scholtens, D.M. (Denise M.), Paternoster, L. (Lavinia), Prokopenko, I. (Inga), Kovacs, P. (Peter), Atalay, M. (Mustafa), Willems, S.M. (Sara), Panoutsopoulou, K. (Kalliope), Wang, X. (Xu), Carstensen, L. (Lisbeth), Geller, F. (Frank), Schraut, K.E. (Katharina E.), Murcia, M. (Mario), Beijsterveldt, C.E.M. (Toos) van, Willemsen, G.A.H.M. (Gonneke), Appel, E.V.R. (Emil V. R.), Fonvig, C.E. (Cilius E.), Trier, C. (Caecilie), Tiesler, C.M.T. (Carla M. T.), Standl, E. (Eberhard), Kutalik, Z. (Zoltán), Bonàs-Guarch, S. (Silvia), Hougaard, D.M. (David), Sánchez, F. (Friman), Torrents, D. (David), Waage, J. (Johannes), Hollegaard, M.V. (Mads V), Haan, H.G. (Hugoline) de, Rosendaal, F.R. (Frits), Medina-Gomez, C. (Carolina), Ring, S.M. (Susan), Hemani, G., Mcmahon, G. (George), Robertson, N.R. (Neil), Groves, C.J. (Christopher), Langenberg, C. (Claudia), Luan, J. (Jian'An), Scott, R.A. (Robert), Zhao, J.H. (Jing Hua), Mentch, F.D. (Frank), MacKenzie, S.M. (Scott M.), Reynolds, R.M. (Rebecca), Lowe Jr., W.L. (William), Tönjes, A. (Anke), Stumvoll, M. (Michael), Lindi, V. (Virpi), Lakka, T.A. (Timo), Duijn, C.M. (Cornelia) van, Kieß, W. (Wieland), KöRner, A. (Antje), Sørensen, T.I.A. (Thorkild), Niinikoski, H. (Harri), Pahkala, K. (Katja), Raitakari, O.T. (Olli T.), Zeggini, E. (Eleftheria), Dedoussis, G.V. (George), Teo, Y.Y. (Yik Ying), Saw, S.-M. (Seang-Mei), Melbye, M. (Mads), Campbell, H. (Harry), Wilson, J.F. (James F.), Vrijheid, M. (Martine), Geus, E.J.C. (Eco) de, Boomsma, D.I. (Dorret), Kadarmideen, H.N. (Haja N.), Holm, J.-C. (Jens-Christian), Hansen, T. (T.), Sebert, S. (Sylvain), Hattersley, A.T. (Andrew), Beilin, L.J. (Lawrence), Newnham, J.P. (John), Pennell, C.E. (Craig), Heinrich, J. (Joachim), Adair, L.S. (Linda), Borja, J.B. (Judith), Mohlke, K.L. (Karen), Hagen, K. (Knut), Widen, E. (Elisabeth), Kähönen, M. (Mika), Viikari, J. (Jorma), Lehtimäki, T. (Terho), Vollenweider, P. (Peter), Bønnelykke, K. (Klaus), Bisgaard, H. (Hans), Mook-Kanamori, D.O. (Dennis), Hofman, A. (Albert), Rivadeneira Ramirez, F. (Fernando), Uitterlinden, A.G. (André), Pisinger, C. (Charlotta), Pedersen, O. (Oluf), Power, C. (Christopher), Hypponen, E. (Elina), Wareham, N.J. (Nick), Hakonarson, H. (Hakon), Davies, E. (Eleanor), Walker, B.R. (Brian R.), Jaddoe, V.W.V. (Vincent), Jarvelin, M.-R. (Marjo-Riitta), Grant, S.F.A. (Struan), Vaag, A.A. (Allan A.), Lawlor, D.A. (Debbie), Frayling, T.M. (Timothy), Smith, A.V. (Davey), Morris, A.P. (Andrew), Ong, K.K. (Ken), Felix, J.F. (Janine), Timpson, N.J. (Nicholas), Perry, J.R.B. (John), Evans, D.M. (David), McCarthy, M.I. (Mark), and Freathy, R.M. (Rachel)
- Abstract
Birth weight (BW) has been shown to be influenced by both fetal and maternal factors and in observational studies is reproducibly associated with future risk of adult metabolic diseases including type 2 diabetes (T2D) and cardiovascular disease1. These lifecourse associations have often been attributed to the impact of an adverse early life environment. Here, we performed a multi-ancestry genome-wide association study (GWAS) meta-analysis of BW in 153,781 individuals, identifying 60 loci where fetal genotype was associated with BW (P < 5 × 10-8). Overall, approximately 15% of variance in BW was captured by assays of fetal genetic variation. Using genetic association alone, we found strong inverse genetic correlations between BW and systolic blood pressure (Rg =-0.22, P = 5.5 × 10-13), T2D (Rg =-0.27, P = 1.1 × 10-6) and coronary artery disease (Rg =-0.30, P = 6.5 × 10-9). In addition, using large-cohort datasets, we demonstrated that genetic factors were the major contributor to the negative covariance between BW and future cardiometabolic risk. Pathway analyses indicated that the protein products of genes within BW-associated regions were enriched for diverse processes including insulin signalling, glucose homeostasis, glycogen biosynthesis and chromatin remodelling. There was also enrichment of associations with BW in known imprinted regions (P = 1.9 × 10-4). We demonstrate that life-course associations between early growth phenotypes and adult cardiometabolic disease are in part the result of shared genetic effects and identify some of the pathways through which these causal genetic effects are mediated.
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- 2016
- Full Text
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8. Genetic evidence for causal relationships between maternal obesity-related traits and birth weight
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Tyrrell, J. (Jessica), Richmond, R. C. (Rebecca C.), Palmer, T. M. (Tom M.), Feenstra, B. (Bjarke), Rangarajan, J. (Janani), Metrustry, S. (Sarah), Cavadino, A. (Alana), Paternoster, L. (Lavinia), Armstrong, L. L. (Loren L.), De Silva, N. M. (N. Maneka G.), Wood, A. R. (Andrew R.), Horikoshi, M. (Momoko), Geller, F. (Frank), Myhre, R. (Ronny), Bradfield, J. P. (Jonathan P.), Kreiner-Moller, E. (Eskil), Huikari, V. (Ville), Painter, J. N. (Jodie N.), Hottenga, J.-J. (Jouke-Jan), Allard, C. (Catherine), Berry, D. J. (Diane J.), Bouchard, L. (Luigi), Das, S. (Shikta), Evans, D. M. (David M.), Hakonarson, H. (Hakon), Hayes, M. G. (M. Geoffrey), Heikkinen, J. (Jani), Hofman, A. (Albert), Knight, B. (Bridget), Lind, P. A. (Penelope A.), McCarthy, M. I. (Mark I.), McMahon, G. (George), Medland, S. E. (Sarah E.), Melbye, M. (Mads), Morris, A. P. (Andrew P.), Nodzenski, M. (Michael), Reichetzeder, C. (Christoph), Ring, S. M. (Susan M.), Sebert, S. (Sylvain), Sengpiel, V. (Verena), Sorensen, T. I. (Thorkild I. A.), Willemsen, G. (Gonneke), de Geus, E. J. (Eco J. C.), Martin, N. G. (Nicholas G.), Spector, T. D. (Tim D.), Power, C. (Christine), Järvelin, M.-R. (Marjo-Riitta), Bisgaard, H. (Hans), Grant, S. F. (Struan F. A.), Nohr, E. A. (Ellen A.), Jaddoe, V. W. (Vincent W.), Jacobsson, B. (Bo), Murray, J. C. (Jeffrey C.), Hocher, B. (Berthold), Hattersley, A. T. (Andrew T.), Scholtens, D. M. (Denise M.), Smith, G. D. (George Davey), Hivert, M.-F. (Marie-France), Felix, J. F. (Janine F.), Hypponen, E. (Elina), Lowe, W. L. (William L., Jr.), Frayling, T. M. (Timothy M.), Lawlor, D. A. (Debbie A.), Freathy, R. M. (Rachel M.), Tyrrell, J. (Jessica), Richmond, R. C. (Rebecca C.), Palmer, T. M. (Tom M.), Feenstra, B. (Bjarke), Rangarajan, J. (Janani), Metrustry, S. (Sarah), Cavadino, A. (Alana), Paternoster, L. (Lavinia), Armstrong, L. L. (Loren L.), De Silva, N. M. (N. Maneka G.), Wood, A. R. (Andrew R.), Horikoshi, M. (Momoko), Geller, F. (Frank), Myhre, R. (Ronny), Bradfield, J. P. (Jonathan P.), Kreiner-Moller, E. (Eskil), Huikari, V. (Ville), Painter, J. N. (Jodie N.), Hottenga, J.-J. (Jouke-Jan), Allard, C. (Catherine), Berry, D. J. (Diane J.), Bouchard, L. (Luigi), Das, S. (Shikta), Evans, D. M. (David M.), Hakonarson, H. (Hakon), Hayes, M. G. (M. Geoffrey), Heikkinen, J. (Jani), Hofman, A. (Albert), Knight, B. (Bridget), Lind, P. A. (Penelope A.), McCarthy, M. I. (Mark I.), McMahon, G. (George), Medland, S. E. (Sarah E.), Melbye, M. (Mads), Morris, A. P. (Andrew P.), Nodzenski, M. (Michael), Reichetzeder, C. (Christoph), Ring, S. M. (Susan M.), Sebert, S. (Sylvain), Sengpiel, V. (Verena), Sorensen, T. I. (Thorkild I. A.), Willemsen, G. (Gonneke), de Geus, E. J. (Eco J. C.), Martin, N. G. (Nicholas G.), Spector, T. D. (Tim D.), Power, C. (Christine), Järvelin, M.-R. (Marjo-Riitta), Bisgaard, H. (Hans), Grant, S. F. (Struan F. A.), Nohr, E. A. (Ellen A.), Jaddoe, V. W. (Vincent W.), Jacobsson, B. (Bo), Murray, J. C. (Jeffrey C.), Hocher, B. (Berthold), Hattersley, A. T. (Andrew T.), Scholtens, D. M. (Denise M.), Smith, G. D. (George Davey), Hivert, M.-F. (Marie-France), Felix, J. F. (Janine F.), Hypponen, E. (Elina), Lowe, W. L. (William L., Jr.), Frayling, T. M. (Timothy M.), Lawlor, D. A. (Debbie A.), and Freathy, R. M. (Rachel M.)
- Abstract
Importance: Neonates born to overweight or obese women are larger and at higher risk of birth complications. Many maternal obesity-related traits are observationally associated with birth weight, but the causal nature of these associations is uncertain. Objective: To test for genetic evidence of causal associations of maternal body mass index (BMI) and related traits with birth weight. Design, Setting, and Participants: Mendelian randomization to test whether maternal BMI and obesity-related traits are potentially causally related to offspring birth weight. Data from 30 487 women in 18 studies were analyzed. Participants were of European ancestry from population- or community-based studies in Europe, North America, or Australia and were part of the Early Growth Genetics Consortium. Live, term, singleton offspring born between 1929 and 2013 were included. Exposures: Genetic scores for BMI, fasting glucose level, type 2 diabetes, systolic blood pressure (SBP), triglyceride level, high-density lipoprotein cholesterol (HDL-C) level, vitamin D status, and adiponectin level. Main Outcome and Measure: Offspring birth weight from 18 studies. Results: Among the 30 487 newborns the mean birth weight in the various cohorts ranged from 3325 g to 3679 g. The maternal genetic score for BMI was associated with a 2-g (95% CI, 0 to 3 g) higher offspring birth weight per maternal BMI-raising allele (P = .008). The maternal genetic scores for fasting glucose and SBP were also associated with birth weight with effect sizes of 8 g (95% CI, 6 to 10 g) per glucose-raising allele (P = 7 × 10−14) and −4 g (95% CI, −6 to −2g) per SBP-raising allele (P = 1×10−5), respectively. A 1-SD ( ≈ 4 points) genetically higher maternal BMI was associated with a 55-g higher offspring birth weight (95% CI, 17 to 93 g). A 1-SD ( ≈ 7.2 mg/dL) genetically higher maternal fasting glucose concentration was associated with 114-g higher offspring birth weight (95% CI, 80 to 147 g). However, a 1-SD ( ≈ 1
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- 2016
9. Genome-wide associations for birth weight and correlations with adult disease
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Horikoshi, M, Beaumont, RN, Day, FR, Warrington, NM, Kooijman, MN, Fernandez-Tajes, J, Feenstra, B, Van Zuydam, NR, Gaulton, KJ, Grarup, N, Bradfield, JP, Strachan, DP, Li-Gao, R, Ahluwalia, TS, Kreiner, E, Rueedi, R, Lyytikäinen, L-P, Cousminer, DL, Wu, Y, Thiering, E, Wang, CA, Have, CT, Hottenga, J-J, Vilor-Tejedor, N, Joshi, PK, Boh, ETH, Ntalla, I, Pitkänen, N, Mahajan, A, Van Leeuwen, EM, Joro, R, Lagou, V, Nodzenski, M, Diver, LA, Zondervan, KT, Bustamante, M, Marques-Vidal, P, Mercader, JM, Bennett, AJ, Rahmioglu, N, Nyholt, DR, Ma, RCW, Tam, CHT, Tam, WH, CHARGE Consortium Hematology Working Group, Ganesh, SK, Van Rooij, FJA, Jones, SE, Loh, P-R, Ruth, KS, Tuke, MA, Tyrrell, J, Wood, AR, Yaghootkar, H, Scholtens, DM, Paternoster, L, Prokopenko, I, Kovacs, P, Atalay, M, Willems, SM, Panoutsopoulou, K, Wang, X, Carstensen, L, Geller, F, Schraut, KE, Murcia, M, Van Beijsterveldt, CEM, Willemsen, G, Appel, EVR, Fonvig, CE, Trier, C, Tiesler, CMT, Standl, M, Kutalik, Z, Bonàs-Guarch, S, Hougaard, DM, Sánchez, F, Torrents, D, Waage, J, Hollegaard, MV, De Haan, HG, Rosendaal, FR, Medina-Gomez, C, Ring, SM, Hemani, G, McMahon, G, Robertson, NR, Groves, CJ, Langenberg, C, Luan, J, Scott, RA, Zhao, JH, Mentch, FD, MacKenzie, SM, Reynolds, RM, Early Growth Genetics (EGG) Consortium, Lowe, WL, Tönjes, A, Stumvoll, M, Lindi, V, Lakka, TA, Van Duijn, CM, Kiess, W, Körner, A, Sørensen, TIA, Niinikoski, H, Pahkala, K, Raitakari, OT, Zeggini, E, Dedoussis, GV, Teo, Y-Y, Saw, S-M, Melbye, M, Campbell, H, Wilson, JF, Vrijheid, M, De Geus, EJCN, Boomsma, DI, Kadarmideen, HN, Holm, J-C, Hansen, T, Sebert, S, Hattersley, AT, Beilin, LJ, Newnham, JP, Pennell, CE, Heinrich, J, Adair, LS, Borja, JB, Mohlke, KL, Eriksson, JG, Widén, E, Kähönen, M, Viikari, JS, Lehtimäki, T, Vollenweider, P, Bønnelykke, K, Bisgaard, H, Mook-Kanamori, DO, Hofman, A, Rivadeneira, F, Uitterlinden, AG, Pisinger, C, Pedersen, O, Power, C, Hyppönen, E, Wareham, NJ, Hakonarson, H, Davies, E, Walker, BR, Jaddoe, VWV, Järvelin, M-R, Grant, SFA, Vaag, AA, Lawlor, DA, Frayling, TM, Smith, GD, Morris, AP, Ong, KK, Felix, JF, Timpson, NJ, Perry, JRB, Evans, DM, McCarthy, MI, and Freathy, RM
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quantitative trait ,hypertension ,intrauterine growth ,genome-wide association studies ,metabolic disorders ,3. Good health - Abstract
Birth weight (BW) has been shown to be influenced by both fetal and maternal factors and in observational studies is reproducibly associated with future risk of adult metabolic diseases including type 2 diabetes (T2D) and cardiovascular disease. These life-course associations have often been attributed to the impact of an adverse early life environment. Here, we performed a multi-ancestry genome-wide association study (GWAS) meta-analysis of BW in 153,781 individuals, identifying 60 loci where fetal genotype was associated with BW ($\textit{P}$ < 5 × 10$^{-8}$). Overall, approximately 15% of variance in BW was captured by assays of fetal genetic variation. Using genetic association alone, we found strong inverse genetic correlations between BW and systolic blood pressure ($\textit{R}$ $_{g}$ = -0.22, $\textit{P}$ = 5.5 × 10$^{-13}$), T2D ($\textit{R}$ $_{g}$ = -0.27, $\textit{P}$ = 1.1 × 10$^{-6}$) and coronary artery disease ($\textit{R}$ $_{g}$ = -0.30, $\textit{P}$ = 6.5 × 10$^{-9}$). In addition, using large -cohort datasets, we demonstrated that genetic factors were the major contributor to the negative covariance between BW and future cardiometabolic risk. Pathway analyses indicated that the protein products of genes within BW-associated regions were enriched for diverse processes including insulin signalling, glucose homeostasis, glycogen biosynthesis and chromatin remodelling. There was also enrichment of associations with BW in known imprinted regions ($\textit{P}$ = 1.9 × 10$^{-4}$). We demonstrate that life-course associations between early growth phenotypes and adult cardiometabolic disease are in part the result of shared genetic effects and identify some of the pathways through which these causal genetic effects are mediated.
10. A multistep approach to improving biopsy site identification in dermatology: physician, staff, and patient roles based on a Delphi consensus
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Alam M, Lee A, Oa, Ibrahimi, Kim N, Bordeaux J, Chen K, Dinehart S, Dj, Goldberg, Cw, Hanke, Gj, Hruza, Ks, Nehal, Sm, Olbricht, Orringer J, Te, Rohrer, Ns, Scheinfeld, Cd, Schmults, john strasswimmer, Js, Taylor, Yoo S, Nodzenski M, Poon E, Cartee T, and Cutaneous Surgery Consensus Group
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Male ,medicine.medical_specialty ,Skin Neoplasms ,Consensus ,Delphi Technique ,Biopsy ,Clinical Sciences ,Oncology and Carcinogenesis ,Dermatologic Surgical Procedures ,Psychological intervention ,Delphi method ,MEDLINE ,Practice Patterns ,Dermatology ,Sensitivity and Specificity ,7.3 Management and decision making ,Hospital ,Biopsy Site ,Clinical Research ,Needle ,Medical Staff ,Medical Staff, Hospital ,Medicine ,Humans ,Patient participation ,Practice Patterns, Physicians' ,Physician's Role ,Cancer ,Physicians' ,business.industry ,Prevention ,Biopsy, Needle ,Treatment Outcome ,Cross-Sectional Studies ,Data extraction ,Cutaneous Surgery Consensus Group ,Private practice ,Structured interview ,Feasibility Studies ,Female ,Management of diseases and conditions ,Generic health relevance ,Patient Participation ,business - Abstract
Importance Excisional skin cancer surgery is a common procedure, with no formal consensus for mitigating the risk of wrong-site cutaneous surgery. Objective To systematically consider the usefulness and feasibility of proposed methods for correct biopsy site identification in dermatology. Evidence Review Survey study with a formal consensus process. Item development was via a literature review and expert interviews, followed by 2 stages of a Delphi process to develop consensus recommendations. Findings In total, 2323 articles were reviewed in the literature search, with data extraction from 14. Twenty-five experts underwent 30-minute structured interviews, which were transcribed and coded. The resulting survey was composed of 42 proposed interventions by multiple stakeholders (biopsying physicians, operating physicians, nurses, ancillary staff, patients, caregivers, and family members) at 3 time points (day of biopsy, delay and consultation period, and day of definitive surgery). Two rounds of a Delphi process with 59 experts (25 academic and 34 private practice) scored the survey. Strong consensus was obtained on 14 behaviors, and moderate consensus was obtained on 21 other behaviors. In addition, a 2-state simultaneous algorithm was developed to model surgeon behavior on the day of definitive surgery based on surgeon and patient perceptions. Conclusions and Relevance When definitive surgery is performed after the initial biopsy and by a different surgeon, procedures can be implemented at several time points to increase the likelihood of correct site identification. The specific circumstances of a case suggest which methods may be most appropriate and feasible, and some may be implemented. The risk of wrong-site cutaneous surgery can be reduced but not eliminated.
11. Associations between a fetal imprinted gene allele score and late pregnancy maternal glucose concentrations
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Petry, CJ, Mooslehner, K, Prentice, P, Hayes, MG, Nodzenski, M, Scholtens, DM, Hughes, IA, Acerini, CL, Ong, KK, Lowe, WL, and Dunger, DB
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meta-analysis ,KCNQ1 ,placenta ,gestational diabetes ,3. Good health - Abstract
$\textbf{Aim}$ We hypothesised that some of the genetic risk for gestational diabetes (GDM) is due to the fetal genome affecting maternal glucose concentrations. Previously, we found associations between fetal IGF2 gene variants and maternal glucose concentrations in late pregnancy. $\textbf{Methods}$ In the present study, we tested associations between SNP alleles from 15 fetal imprinted genes and maternal glucose concentrations in late pregnancy in the Cambridge Baby Growth and Wellbeing cohorts (1160 DNA trios). $\textbf{Results}$ Four fetal SNP alleles with the strongest univariate associations: paternally-transmitted IGF2 rs10770125 (P-value = 2 × 10$^{-4}$) and INS rs2585 (P-value = 7 × 10$^{-4}$), and maternally-transmitted KCNQ1(OT1) rs231841 (P-value = 1 × 10$^{-3}$) and KCNQ1(OT1) rs7929804 (P-value = 4 × 10$^{-3}$), were used to construct a composite fetal imprinted gene allele score which was associated with maternal glucose concentrations (P-value = 4.3 × 10$^{-6}$, n = 981, r$^{2}$ = 2.0%) and GDM prevalence (odds ratio per allele 1.44 (1.15, 1.80), P-value = 1 × 10$^{-3}$, n = 89 cases and 899 controls). Meta-analysis of the associations including data from 1367 Hyperglycaemia and Adverse Pregnancy Outcome Study participants confirmed the paternally-transmitted fetal IGF2/INS SNP associations (rs10770125, P-value = 3.2 × 10$^{-8}$, rs2585, P-value = 3.6 × 10$^{-5}$) and the composite fetal imprinted gene allele score association (P-value = 1.3 × 10$^{-8}$), but not the maternally-transmitted fetal KCNQ1(OT1) associations (rs231841, P-value = 0.4; rs7929804, P-value = 0.2). $\textbf{Conclusion}$ This study suggests that polymorphic variation in fetal imprinted genes, particularly in the IGF2/INS region, contribute a small but significant part to the risk of raised late pregnancy maternal glucose concentrations.
12. Subcision with and without suction for acne scars: a split-faced, rater-blinded randomized control trial.
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Shi VJ, Ma MS, Koza E, Haq M, Ahmed A, Yi MD, Dirr MA, Anvery N, Christensen RE, Pagdhal K, Geisler A, Nodzenski M, Roongpisuthipong W, Brieva JC, Cahn BA, Yoo SS, Lucas J, Poon E, West DP, Fife D, and Alam M
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- Humans, Female, Male, Adult, Suction methods, Young Adult, Treatment Outcome, Adolescent, Severity of Illness Index, Combined Modality Therapy methods, Single-Blind Method, Face, Acne Vulgaris complications, Cicatrix etiology, Cicatrix diagnosis, Cicatrix therapy
- Abstract
Therapeutic options for acne scars include subcision and suction with microdermabrasion, but these treatment modalities have not been studied in conjunction. To compare effectiveness of subcision alone versus subcision with suction for the treatment of facial acne scars. Randomized, split-faced, evaluator-blinded control trial. Participants underwent one subcision treatment on both sides of the face followed by 10 sessions of suction to one side. Photographs at baseline, 1-month, and 4-months were assessed. Primary outcome measures were the validated Acne Scar Severity Scale (ASSS) (0 = no acne scarring, 4 = severe), Acne Scar Improvement Grading Scale (ASIGS) (-100 to 100%), and modified Quantitative Global Scarring Grades (QGSG) (point-based questionnaire instrument), as well as subject preference. Twenty-eight treatment areas and 154 treatments were analyzed. Dermatologist raters found no differences between subcision alone and subcision-suction at 1-month or 4-months. Mean subject-assessed percent improvement for subcision-suction was higher than that for subcision alone at 1-month (37% versus 24%, p = 0.04) but not at 4-months (p = 0.37). Subjects preferred combination therapy to monotherapy at 1-month (50% vs. 21%) and 4-months (43% vs. 21%). While blinded raters did not detect significant differences, subjects perceived combination treatment as working more quickly than monotherapy, and preferred combination treatment at all time points.Clinical trial registration NCT01696513 on Clinicaltrials.gov., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
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- 2024
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13. Dynamic and functional linkage between von Willebrand factor and ADAMTS-13 with aging: an Atherosclerosis Risk in Community study.
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Liu W, Patel K, Wang Y, Nodzenski M, Nguyen A, Teramura G, Higgins HA, Hoogeveen RC, Couper D, Fu X, Konkle BA, Loop MS, and Dong JF
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- Humans, ADAMTS13 Protein, Cross-Sectional Studies, Aging, von Willebrand Factor metabolism, von Willebrand Diseases
- Abstract
Background: von Willebrand factor (VWF) is a multimeric glycoprotein critically involved in hemostasis, thrombosis, and inflammation. VWF function is regulated by its antigen levels, multimeric structures, and the state of enzymatic cleavage. Population studies in the past have focused almost exclusively on VWF antigen levels in cross-sectional study designs., Objective: To identify subjects in the Atherosclerosis Risk in Community study who had persistently low and high VWF antigen over 10 years and to quantify longitudinal changes in the biological activities and cleavage of VWF in these subjects., Methods: We measured VWF antigen, propeptide, adhesive activities, and cleavage by ADAMTS-13 quantified using a mass spectrometry method that detected the cleaved VWF peptide EQAPNLVY, as well as coagulation factor VIII activity., Results: We determined the mean subject-specific increase in VWF to be 22.0 International Units (IU)/dL over 10 years, with 95% between -0.3 and 59.7 IU/dL. This aging-related increase was also detected in VWF propeptide levels, ristocetin cofactor activity, and VWF binding to collagen. We identified 4.1% and 25.0% of subjects as having persistently low (<50 IU/dL) and high (>200 IU/dL) VWF antigen, respectively. Subjects with persistently low VWF had enhanced ristocetin cofactor activity, whereas those with persistently high VWF had elevated levels of ADAMTS-13, resulting in a comparable rate of VWF cleavage between the 2 groups., Conclusions: These results provide new information about the effects of aging on VWF antigens and adhesive activity and identify a functional coordination between VWF and the rate of its cleavage by ADAMTS-13., Competing Interests: Declaration of competing interests There are no competing interests to disclose., (Copyright © 2023 International Society on Thrombosis and Haemostasis. Published by Elsevier Inc. All rights reserved.)
- Published
- 2023
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14. Frontline support services for boys who have experienced child sexual exploitation: A thematic review of survey data from seven countries.
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Nodzenski M and Davis J
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- Child, Humans, Male, Poverty, Surveys and Questionnaires, Child Abuse, Sexual, Sexual Behavior
- Abstract
Child sexual exploitation and abuse (CSEA) affects all children, but research on the needs and experiences of boys is lacking, support services are limited, and workers lack specialized training to meet their specific needs. This paper explores the perspectives and experiences of 404 Frontline Support Workers providing services to children with CSEA experiences in seven countries, considering trends and implications for boys. A mixed-methods online survey of 121 questions explores characteristics of cases, perceived vulnerabilities, and gender-based challenges in CSEA response. A descriptive analysis of survey data, disaggregated by country, was conducted, allowing for a discussion of broad themes and trends. Despite differences, participants described similar vulnerabilities for boys across these contexts, including poverty as well as sex and sexuality-related taboos, stigmas, and other gendered beliefs, which were perceived to not only increase vulnerability to CSEA but also complicate disclosure in all countries. The implications of these findings on service delivery and recommendations are discussed., Competing Interests: Declaration of competing interest All authors declare that they have no conflict of interest., (Copyright © 2023. Published by Elsevier Ltd.)
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- 2023
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15. Pain of local anesthetic injection of lidocaine during subsequent stages of Mohs micrographic surgery: A multicenter prospective cohort study.
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Dirr MA, Christensen RE, Anvery N, Nadir U, Schaeffer M, Veledar E, Minkis K, Nodzenski M, Whittington A, Brieva JC, Tung R, Poon E, and Alam M
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- Adult, Humans, Mohs Surgery adverse effects, Mohs Surgery methods, Prospective Studies, Longitudinal Studies, Pain etiology, Anesthetics, Local adverse effects, Lidocaine adverse effects
- Abstract
Background: Patients awake during staged cutaneous surgery procedures may experience procedure-related pain., Objective: To determine whether the level of pain associated with local anesthetic injections prior to each Mohs stage increases with subsequent Mohs stages., Methods: Multicenter longitudinal cohort study. Patients rated pain (visual analog scale: 1-10) after anesthetic injection preceding each Mohs stage., Results: Two hundred fifty-nine adult patients presenting for Mohs who required multiple Mohs stages at 2 academic medical centers were enrolled; 330 stages were excluded due to complete anesthesia from prior stages, and 511 stages were analyzed. Mean visual analog scale pain ratings were nominally but not significantly different for subsequent stages of Mohs surgery (stage 1: 2.5; stage 2: 2.5; stage 3: 2.7: stage 4:2.8: stage 5: 3.2; P = .770). Between 37% and 44% experienced moderate pain, and 9.5% and 12.5% severe pain, during first as versus subsequent stages (P > .05) LIMITATIONS: Both academic centers were in urban areas. Pain rating is inherently subjective., Conclusions: Patients did not report significantly increased anesthetic injection pain level during subsequent stages of Mohs., Competing Interests: Conflicts of interest None disclosed., (Copyright © 2023 American Academy of Dermatology, Inc. Published by Elsevier Inc. All rights reserved.)
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- 2023
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16. GADGETS: a genetic algorithm for detecting epistasis using nuclear families.
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Nodzenski M, Shi M, Krahn JM, Wise AS, Li Y, Li L, Umbach DM, and Weinberg CR
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- Humans, Nuclear Family, Genome-Wide Association Study, Software, Polymorphism, Single Nucleotide, Algorithms, Epistasis, Genetic
- Abstract
Motivation: Epistasis may play an etiologic role in complex diseases, but research has been hindered because identification of interactions among sets of single nucleotide polymorphisms (SNPs) requires exploration of immense search spaces. Current approaches using nuclear families accommodate at most several hundred candidate SNPs., Results: GADGETS detects epistatic SNP-sets by applying a genetic algorithm to case-parent or case-sibling data. To allow for multiple epistatic sets, island subpopulations of SNP-sets evolve separately under selection for evident joint relevance to disease risk. The software evaluates the identified SNP-sets via permutation testing and provides graphical visualization. GADGETS correctly identified epistatic SNP-sets in realistically simulated case-parent triads with 10 000 candidate SNPs, far more SNPs than competitors can handle, and it outperformed competitors in simulations with many fewer SNPs. Applying GADGETS to family-based oral-clefting data from dbGaP identified SNP-sets with possible epistatic effects on risk., Availability and Implementation: GADGETS is part of the epistasisGA package at https://github.com/mnodzenski/epistasisGA., Supplementary Information: Supplementary data are available at Bioinformatics online., (Published by Oxford University Press 2021. This work is written by a US Government employee and is in the public domain in the US.)
- Published
- 2022
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17. Erratum to: GADGETS: a genetic algorithm for detecting epistasis using nuclear families.
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Nodzenski M, Shi M, Krahn JM, Wise AS, Li Y, Li L, Umbach DM, and Weinberg CR
- Published
- 2022
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18. Delays in breast cancer care by race and sexual orientation: Results from a national survey with diverse women in the United States.
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Poteat TC, Adams MA, Malone J, Geffen S, Greene N, Nodzenski M, Lockhart AG, Su IH, and Dean LT
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- Adult, Black or African American, Cross-Sectional Studies, Female, Humans, Sexual Behavior, United States epidemiology, Breast Neoplasms epidemiology, Breast Neoplasms therapy, Sexual and Gender Minorities
- Abstract
Background: Despite known differences in breast cancer by both race and sexual orientation, data on the intersectional experiences of Black sexual minority women (BSMW) along the care continuum are scant. This study sought to understand delays in breast cancer care by examining the intersection of race and sexual orientation., Methods: This online, cross-sectional survey enrolled racially and sexually diverse women aged ≥ 35 years who had been diagnosed with breast cancer within the prior 10 years or had an abnormal screening in the prior 24 months. The authors calculated summary statistics by race/sexual orientation categories, and they conducted univariate and multivariable modeling by using multiple imputation for missing data., Results: BSMW (n = 101) had the highest prevalence of care delays with 5.17-fold increased odds of a care delay in comparison with White heterosexual women (n = 298) in multivariable models. BSMW reported higher intersectional stigma and lower social support than all other groups. In models adjusted for race, sexual orientation, and income, intersectional stigma was associated with a 2.43-fold increase in care delays, and social support was associated with a 32% decrease in the odds of a care delay., Conclusions: Intersectional stigma may be an important driver of breast cancer inequities for BSMW. Reducing stigma and ensuring access to appropriate social support that addresses known barriers can be an important approach to reducing inequities in the breast cancer care continuum., (© 2021 The Authors. Cancer published by Wiley Periodicals LLC on behalf of American Cancer Society.)
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- 2021
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19. Post-trafficking stressors: The influence of hopes, fears and expectations on the mental health of young trafficking survivors in the Greater Mekong Sub-region.
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Nodzenski M, Kiss L, Pocock NS, Stoeckl H, Zimmerman C, and Buller AM
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- Adolescent, Adult, Anxiety psychology, Anxiety Disorders psychology, Asia, Southeastern, Child, Depression psychology, Female, Humans, Male, Stress Disorders, Post-Traumatic psychology, Young Adult, Fear, Hope, Human Trafficking psychology, Mental Health, Survivors psychology
- Abstract
Background: Human trafficking and labor exploitation are prevalent in Southeast Asia and have substantial health consequences for children and adolescents. Research on pre-departure circumstances and trafficking experiences show that gender plays a key role in shaping the experience of exploited children and adolescents., Objective: This study estimates how youth's concerns and hopes for the future influence the mental health outcomes of male and female children and adolescents., Participants and Setting: Data were collected in face-to-face interviews with 517 children and adolescents (10-19 years old) who attended post-trafficking services between year 2010 and year 2013 in Cambodia, Thailand or Vietnam., Methods: Multivariable logistic regression models were fitted to estimate the association of children and adolescents' post-trafficking concerns and hopes for the future with mental health outcomes, namely symptoms of depression, anxiety and Post Traumatic Stress Disorder (PTSD). The analysis was stratified by sex., Results: In adjusted analysis, children and adolescents' concerns about social ostracization and maltreatment by others in their community of origin were associated with all three outcomes in males and with depression in females. Being concerned about their own mental health was associated with all outcomes, with a potentially stronger effect observed in males for depression (AOR 9.14, CI:1.21-68.68), anxiety (AOR 13.47, CI:1.70-106.48) and PTSD (AOR 8.36, CI:1.22-56.9) than in females where the odds for depression (AOR 3.24, CI:1.92-5.48), anxiety (AOR 3.05, CI:1.82-5.11) and PTSD (AOR 1.85, CI:1.08-3.14) were much lower., Conclusions: Young people's post-trafficking care needs and reintegration planning should be designed based on their current mental health, personal security, family and financial resources and age-related capacity., (Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2020
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20. Assessing Skin Biopsy Rates for Histologic Findings Indicative of Nonpathological Cutaneous Disease.
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Solomon JA, Oswalt M, Nodzenski M, Glener J, Schaeffer MR, Cartee TV, Maher IA, Sobanko JF, Waldman A, Yoo SS, Lewis S, Barr M, Marous M, Sledge B, Duke JK, Armstrong AW, Poon E, Veledar E, Dellavalle RP, and Alam M
- Subjects
- Female, Florida, Humans, Male, Ohio, Retrospective Studies, Biopsy statistics & numerical data, Practice Patterns, Physicians' statistics & numerical data, Skin Diseases diagnosis
- Abstract
Background: Recent increase in skin biopsies has been attributed to an epidemic of skin cancer. This may be avoidable, with potential savings., Objective: To determine whether the increase in skin biopsies is attributable to increasing frequency of biopsies associated with histology lacking pathological cutaneous disease. Pathological cutaneous disease was defined as (1) a malignancy, precancerous lesion, or lesion of uncertain behavior; or (2) disease symptomatic or associated with adverse quality of life impact., Patients and Methods: Retrospective cohort study, 2006 to 2013 of dermatology practice serving Florida and Ohio. Data were a consecutive sample of skin biopsies for diagnosis of dermatologic disease., Results: A total of 267,706 biopsies by an average of 52 providers per month from January 06 to December 13 were analyzed. Number of biopsies per visit increased 2% per year (RR: 1.02, CI: 1.00-1.04). Likelihood of biopsy associated with histology indicative of nonpathological cutaneous disease did not increase over time (OR: 0.99, CI: 0.95-1.03, p = .6302)., Conclusion: Rates of biopsies associated with nonpathological cutaneous disease is not increasing. Overall biopsy rates per visit have gradually increased; this seems attributable to greater rates of detection of pathological dermatologic disease.
- Published
- 2019
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21. Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors.
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Warrington NM, Beaumont RN, Horikoshi M, Day FR, Helgeland Ø, Laurin C, Bacelis J, Peng S, Hao K, Feenstra B, Wood AR, Mahajan A, Tyrrell J, Robertson NR, Rayner NW, Qiao Z, Moen GH, Vaudel M, Marsit CJ, Chen J, Nodzenski M, Schnurr TM, Zafarmand MH, Bradfield JP, Grarup N, Kooijman MN, Li-Gao R, Geller F, Ahluwalia TS, Paternoster L, Rueedi R, Huikari V, Hottenga JJ, Lyytikäinen LP, Cavadino A, Metrustry S, Cousminer DL, Wu Y, Thiering E, Wang CA, Have CT, Vilor-Tejedor N, Joshi PK, Painter JN, Ntalla I, Myhre R, Pitkänen N, van Leeuwen EM, Joro R, Lagou V, Richmond RC, Espinosa A, Barton SJ, Inskip HM, Holloway JW, Santa-Marina L, Estivill X, Ang W, Marsh JA, Reichetzeder C, Marullo L, Hocher B, Lunetta KL, Murabito JM, Relton CL, Kogevinas M, Chatzi L, Allard C, Bouchard L, Hivert MF, Zhang G, Muglia LJ, Heikkinen J, Morgen CS, van Kampen AHC, van Schaik BDC, Mentch FD, Langenberg C, Luan J, Scott RA, Zhao JH, Hemani G, Ring SM, Bennett AJ, Gaulton KJ, Fernandez-Tajes J, van Zuydam NR, Medina-Gomez C, de Haan HG, Rosendaal FR, Kutalik Z, Marques-Vidal P, Das S, Willemsen G, Mbarek H, Müller-Nurasyid M, Standl M, Appel EVR, Fonvig CE, Trier C, van Beijsterveldt CEM, Murcia M, Bustamante M, Bonas-Guarch S, Hougaard DM, Mercader JM, Linneberg A, Schraut KE, Lind PA, Medland SE, Shields BM, Knight BA, Chai JF, Panoutsopoulou K, Bartels M, Sánchez F, Stokholm J, Torrents D, Vinding RK, Willems SM, Atalay M, Chawes BL, Kovacs P, Prokopenko I, Tuke MA, Yaghootkar H, Ruth KS, Jones SE, Loh PR, Murray A, Weedon MN, Tönjes A, Stumvoll M, Michaelsen KF, Eloranta AM, Lakka TA, van Duijn CM, Kiess W, Körner A, Niinikoski H, Pahkala K, Raitakari OT, Jacobsson B, Zeggini E, Dedoussis GV, Teo YY, Saw SM, Montgomery GW, Campbell H, Wilson JF, Vrijkotte TGM, Vrijheid M, de Geus EJCN, Hayes MG, Kadarmideen HN, Holm JC, Beilin LJ, Pennell CE, Heinrich J, Adair LS, Borja JB, Mohlke KL, Eriksson JG, Widén EE, Hattersley AT, Spector TD, Kähönen M, Viikari JS, Lehtimäki T, Boomsma DI, Sebert S, Vollenweider P, Sørensen TIA, Bisgaard H, Bønnelykke K, Murray JC, Melbye M, Nohr EA, Mook-Kanamori DO, Rivadeneira F, Hofman A, Felix JF, Jaddoe VWV, Hansen T, Pisinger C, Vaag AA, Pedersen O, Uitterlinden AG, Järvelin MR, Power C, Hyppönen E, Scholtens DM, Lowe WL Jr, Davey Smith G, Timpson NJ, Morris AP, Wareham NJ, Hakonarson H, Grant SFA, Frayling TM, Lawlor DA, Njølstad PR, Johansson S, Ong KK, McCarthy MI, Perry JRB, Evans DM, and Freathy RM
- Subjects
- Adult, Blood Pressure genetics, Body Height genetics, Diabetes Mellitus, Type 2 etiology, Diabetes Mellitus, Type 2 genetics, Female, Fetal Development genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Heart Diseases etiology, Heart Diseases genetics, Humans, Infant, Newborn, Male, Maternal Inheritance genetics, Maternal-Fetal Exchange genetics, Metabolic Diseases etiology, Metabolic Diseases genetics, Models, Genetic, Polymorphism, Single Nucleotide, Pregnancy, Risk Factors, Birth Weight genetics
- Abstract
Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. In expanded genome-wide association analyses of own birth weight (n = 321,223) and offspring birth weight (n = 230,069 mothers), we identified 190 independent association signals (129 of which are novel). We used structural equation modeling to decompose the contributions of direct fetal and indirect maternal genetic effects, then applied Mendelian randomization to illuminate causal pathways. For example, both indirect maternal and direct fetal genetic effects drive the observational relationship between lower birth weight and higher later blood pressure: maternal blood pressure-raising alleles reduce offspring birth weight, but only direct fetal effects of these alleles, once inherited, increase later offspring blood pressure. Using maternal birth weight-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring blood pressure, indicating that the inverse birth weight-blood pressure association is attributable to genetic effects, and not to intrauterine programming.
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- 2019
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22. Maternal glucose levels during pregnancy and childhood adiposity in the Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study.
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Lowe WL Jr, Lowe LP, Kuang A, Catalano PM, Nodzenski M, Talbot O, Tam WH, Sacks DA, McCance D, Linder B, Lebenthal Y, Lawrence JM, Lashley M, Josefson JL, Hamilton J, Deerochanawong C, Clayton P, Brickman WJ, Dyer AR, Scholtens DM, and Metzger BE
- Subjects
- Adult, Body Mass Index, Child, Female, Follow-Up Studies, Glucose Tolerance Test, Humans, Male, Maternal Age, Overweight, Pregnancy, Pregnancy Complications, Pregnancy Outcome, Prenatal Exposure Delayed Effects physiopathology, Waist Circumference, Adiposity, Blood Glucose analysis, Diabetes, Gestational blood, Hyperglycemia blood, Pediatric Obesity physiopathology, Pregnancy in Diabetics blood, Prenatal Exposure Delayed Effects blood
- Abstract
Aims/hypothesis: Maternal type 2 diabetes during pregnancy and gestational diabetes are associated with childhood adiposity; however, associations of lower maternal glucose levels during pregnancy with childhood adiposity, independent of maternal BMI, remain less clear. The objective was to examine associations of maternal glucose levels during pregnancy with childhood adiposity in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) cohort., Methods: The HAPO Study was an observational epidemiological international multi-ethnic investigation that established strong associations of glucose levels during pregnancy with multiple adverse perinatal outcomes. The HAPO Follow-up Study (HAPO FUS) included 4832 children from ten HAPO centres whose mothers had a 75 g OGTT at ~28 weeks gestation 10-14 years earlier, with glucose values blinded to participants and clinical caregivers. The primary outcome was child adiposity, including: (1) being overweight/obese according to sex- and age-specific cut-offs based on the International Obesity Task Force (IOTF) criteria; (2) IOTF-defined obesity only; and (3) measurements >85th percentile for sum of skinfolds, waist circumference and per cent body fat. Primary predictors were maternal OGTT and HbA
1c values during pregnancy., Results: Fully adjusted models that included maternal BMI at pregnancy OGTT indicated positive associations between maternal glucose predictors and child adiposity outcomes. For one SD difference in pregnancy glucose and HbA1c measures, ORs for each child adiposity outcome were in the range of 1.05-1.16 for maternal fasting glucose, 1.11-1.19 for 1 h glucose, 1.09-1.21 for 2 h glucose and 1.12-1.21 for HbA1c . Associations were significant, except for associations of maternal fasting glucose with offspring being overweight/obese or having waist circumference >85th percentile. Linearity was confirmed in all adjusted models. Exploratory sex-specific analyses indicated generally consistent associations for boys and girls., Conclusions/interpretation: Exposure to higher levels of glucose in utero is independently associated with childhood adiposity, including being overweight/obese, obesity, skinfold thickness, per cent body fat and waist circumference. Glucose levels less than those diagnostic of diabetes are associated with greater childhood adiposity; this may have implications for long-term metabolic health.- Published
- 2019
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23. Maternal metabolites during pregnancy are associated with newborn outcomes and hyperinsulinaemia across ancestries.
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Kadakia R, Nodzenski M, Talbot O, Kuang A, Bain JR, Muehlbauer MJ, Stevens RD, Ilkayeva OR, O'Neal SK, Lowe LP, Metzger BE, Newgard CB, Scholtens DM, and Lowe WL Jr
- Subjects
- Adult, C-Peptide blood, Female, Glucose Tolerance Test, Humans, Infant, Newborn, Male, Metabolomics, Pregnancy, Pregnancy Outcome, Triglycerides blood, Birth Weight physiology, Hyperinsulinism metabolism, Metabolome
- Abstract
Aims/hypothesis: We aimed to determine the association of maternal metabolites with newborn adiposity and hyperinsulinaemia in a multi-ethnic cohort of mother-newborn dyads., Methods: Targeted and non-targeted metabolomics assays were performed on fasting and 1 h serum samples from a total of 1600 mothers in four ancestry groups (Northern European, Afro-Caribbean, Mexican American and Thai) who participated in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study, underwent an OGTT at ~28 weeks gestation and whose newborns had anthropometric measurements at birth., Results: In this observational study, meta-analyses demonstrated significant associations of maternal fasting and 1 h metabolites with birthweight, cord C-peptide and/or sum of skinfolds across ancestry groups. In particular, maternal fasting triacylglycerols were associated with newborn sum of skinfolds. At 1 h, several amino acids, fatty acids and lipid metabolites were associated with one or more newborn outcomes. Network analyses revealed clusters of fasting acylcarnitines, amino acids, lipids and fatty acid metabolites associated with cord C-peptide and sum of skinfolds, with the addition of branched-chain and aromatic amino acids at 1 h., Conclusions/interpretation: The maternal metabolome during pregnancy is associated with newborn outcomes. Maternal levels of amino acids, acylcarnitines, lipids and fatty acids and their metabolites during pregnancy relate to fetal growth, adiposity and cord C-peptide, independent of maternal BMI and blood glucose levels.
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- 2019
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24. Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS): Maternal Gestational Diabetes Mellitus and Childhood Glucose Metabolism.
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Lowe WL Jr, Scholtens DM, Kuang A, Linder B, Lawrence JM, Lebenthal Y, McCance D, Hamilton J, Nodzenski M, Talbot O, Brickman WJ, Clayton P, Ma RC, Tam WH, Dyer AR, Catalano PM, Lowe LP, and Metzger BE
- Subjects
- Adolescent, Adult, Blood Glucose metabolism, Child, Diabetes Mellitus, Type 2 epidemiology, Diabetes, Gestational therapy, Female, Follow-Up Studies, Glucose Intolerance epidemiology, Glucose Tolerance Test, Humans, Insulin Resistance, Male, Prediabetic State epidemiology, Pregnancy, Prenatal Exposure Delayed Effects metabolism, Risk Factors, Diabetes, Gestational epidemiology, Glucose metabolism, Hyperglycemia epidemiology, Pregnancy Outcome epidemiology, Prenatal Exposure Delayed Effects epidemiology
- Abstract
Objective: Whether hyperglycemia in utero less than overt diabetes is associated with altered childhood glucose metabolism is unknown. We examined associations of gestational diabetes mellitus (GDM) not confounded by treatment with childhood glycemia in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) cohort., Research Design and Methods: HAPO Follow-up Study (FUS) included 4,160 children ages 10-14 years who completed all or part of an oral glucose tolerance test (OGTT) and whose mothers had a 75-g OGTT at ∼28 weeks of gestation with blinded glucose values. The primary predictor was GDM by World Health Organization criteria. Child outcomes were impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and type 2 diabetes. Additional measures included insulin sensitivity and secretion and oral disposition index., Results: For mothers with GDM, 10.6% of children had IGT compared with 5.0% of children of mothers without GDM; IFG frequencies were 9.2% and 7.4%, respectively. Type 2 diabetes cases were too few for analysis. Odds ratios (95% CI) adjusted for family history of diabetes, maternal BMI, and child BMI z score were 1.09 (0.78-1.52) for IFG and 1.96 (1.41-2.73) for IGT. GDM was positively associated with child's 30-min, 1-h, and 2-h but not fasting glucose and inversely associated with insulin sensitivity and oral disposition index (adjusted mean difference -76.3 [95% CI -130.3 to -22.4] and -0.12 [-0.17 to -0.064]), respectively, but not insulinogenic index., Conclusions: Offspring exposed to untreated GDM in utero are insulin resistant with limited β-cell compensation compared with offspring of mothers without GDM. GDM is significantly and independently associated with childhood IGT., (© 2019 by the American Diabetes Association.)
- Published
- 2019
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25. Fat mass estimation in neonates: anthropometric models compared with air displacement plethysmography.
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Josefson JL, Nodzenski M, Talbot O, Scholtens DM, and Catalano P
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- Adiposity, Body Weight, Cohort Studies, Female, Head, Humans, Infant, Newborn, Male, Plethysmography methods, Reproducibility of Results, Skinfold Thickness, Adipose Tissue, Anthropometry methods, Body Composition, Plethysmography statistics & numerical data
- Abstract
Newborn adiposity, a nutritional measure of the maternal-fetal intra-uterine environment, is representative of future metabolic health. An anthropometric model using weight, length and flank skinfold to estimate neonatal fat mass has been used in numerous epidemiological studies. Air displacement plethysmography (ADP), a non-invasive technology to measure body composition, is impractical for large epidemiological studies. The study objective was to determine the consistency of the original anthropometric fat mass estimation equation with ADP. Full-term neonates were studied at 12-72 h of life with weight, length, head circumference, flank skinfold thickness and ADP measurements. Statistical analyses evaluated three models to predict neonatal fat mass. Lin's concordance correlation coefficient, mean prediction error and root mean squared error between the predicted and observed ADP fat mass values were used to evaluate the models, where ADP was considered the gold standard. A multi-ethnic cohort of 468 neonates were studied. Models (M) for predicting fat mass were developed using 349 neonates from site 1, then independently evaluated in 119 neonates from site 2. M0 was the original anthropometric model, M1 used the same variables as M0 but with updated parameters and M2 additionally included head circumference. In the independent validation cohort, Lin's concordance correlation estimates demonstrated reasonable accuracy (model 0: 0·843, 1: 0·732, 2: 0·747). Mean prediction error and root mean squared error in the independent validation was much smaller for M0 compared with M1 and M2. The original anthropometric model to estimate neonatal fat mass is reasonable for predicting ADP, thus we advocate its continued use in epidemiological studies.
- Published
- 2019
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26. Genetic Determinants of Glycemic Traits and the Risk of Gestational Diabetes Mellitus.
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Powe CE, Nodzenski M, Talbot O, Allard C, Briggs C, Leya MV, Perron P, Bouchard L, Florez JC, Scholtens DM, Lowe WL Jr, and Hivert MF
- Subjects
- Adult, Blood Glucose analysis, C-Peptide blood, Female, Genotype, Glucose Tolerance Test, Humans, Insulin Resistance physiology, Pregnancy, Risk Factors, Young Adult, Blood Glucose genetics, Diabetes Mellitus, Type 2 genetics, Diabetes, Gestational genetics, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide
- Abstract
Many common genetic polymorphisms are associated with glycemic traits and type 2 diabetes (T2D), but knowledge about genetic determinants of glycemic traits in pregnancy is limited. We tested genetic variants known to be associated with glycemic traits and T2D in the general population for associations with glycemic traits in pregnancy and gestational diabetes mellitus (GDM). Participants in two cohorts (Genetics of Glucose regulation in Gestation and Growth [Gen3G] and Hyperglycemia and Adverse Pregnancy Outcome [HAPO]) underwent oral glucose tolerance testing at 24-32 weeks' gestation. We built genetic risk scores (GRSs) for elevated fasting glucose and insulin, reduced insulin secretion and sensitivity, and T2D, using variants discovered in studies of nonpregnant individuals. We tested for associations between these GRSs, glycemic traits in pregnancy, and GDM. In both cohorts, the fasting glucose GRS was strongly associated with fasting glucose. The insulin secretion and sensitivity GRSs were also significantly associated with these traits in Gen3G, where insulin measurements were available. The fasting insulin GRS was weakly associated with fasting insulin (Gen3G) or C-peptide (HAPO). In HAPO (207 GDM case subjects), all five GRSs (T2D, fasting glucose, fasting insulin, insulin secretion, and insulin sensitivity) were significantly associated with GDM. In Gen3G (43 GDM case subjects), both the T2D and insulin secretion GRSs were associated with GDM; effect sizes for the other GRSs were similar to those in HAPO. Thus, despite the profound changes in glycemic physiology during pregnancy, genetic determinants of fasting glucose, fasting insulin, insulin secretion, and insulin sensitivity discovered outside of pregnancy influence GDM risk., (© 2018 by the American Diabetes Association.)
- Published
- 2018
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27. Association of Gestational Diabetes With Maternal Disorders of Glucose Metabolism and Childhood Adiposity.
- Author
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Lowe WL Jr, Scholtens DM, Lowe LP, Kuang A, Nodzenski M, Talbot O, Catalano PM, Linder B, Brickman WJ, Clayton P, Deerochanawong C, Hamilton J, Josefson JL, Lashley M, Lawrence JM, Lebenthal Y, Ma R, Maresh M, McCance D, Tam WH, Sacks DA, Dyer AR, and Metzger BE
- Subjects
- Adiposity, Adolescent, Adult, Blood Glucose analysis, Body Mass Index, Child, Female, Follow-Up Studies, Humans, Male, Pregnancy, Waist Circumference, Diabetes Mellitus, Type 2 etiology, Diabetes, Gestational, Pediatric Obesity etiology, Prediabetic State etiology
- Abstract
Importance: The sequelae of gestational diabetes (GD) by contemporary criteria that diagnose approximately twice as many women as previously used criteria are unclear., Objective: To examine associations of GD with maternal glucose metabolism and childhood adiposity 10 to 14 years' postpartum., Design, Setting, and Participants: The Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study established associations of glucose levels during pregnancy with perinatal outcomes and the follow-up study evaluated the long-term outcomes (4697 mothers and 4832 children; study visits occurred between February 13, 2013, and December 13, 2016)., Exposures: Gestational diabetes was defined post hoc using criteria from the International Association of Diabetes and Pregnancy Study Groups consisting of 1 or more of the following 75-g oral glucose tolerance test results (fasting plasma glucose ≥92 mg/dL; 1-hour plasma glucose level ≥180 mg/dL; 2-hour plasma glucose level ≥153 mg/dL)., Main Outcomes and Measures: Primary maternal outcome: a disorder of glucose metabolism (composite of type 2 diabetes or prediabetes). Primary outcome for children: being overweight or obese; secondary outcomes: obesity, body fat percentage, waist circumference, and sum of skinfolds (>85th percentile for latter 3 outcomes)., Results: The analytic cohort included 4697 mothers (mean [SD] age, 41.7 [5.7] years) and 4832 children (mean [SD] age, 11.4 [1.2] years; 51.0% male). The median duration of follow-up was 11.4 years. The criteria for GD were met by 14.3% (672/4697) of mothers overall and by 14.1% (683/4832) of mothers of participating children. Among mothers with GD, 52.2% (346/663) developed a disorder of glucose metabolism vs 20.1% (791/3946) of mothers without GD (odds ratio [OR], 3.44 [95% CI, 2.85 to 4.14]; risk difference [RD], 25.7% [95% CI, 21.7% to 29.7%]). Among children of mothers with GD, 39.5% (269/681) were overweight or obese and 19.1% (130/681) were obese vs 28.6% (1172/4094) and 9.9% (405/4094), respectively, for children of mothers without GD. Adjusted for maternal body mass index during pregnancy, the OR was 1.21 (95% CI, 1.00 to 1.46) for children who were overweight or obese and the RD was 3.7% (95% CI, -0.16% to 7.5%); the OR was 1.58 (95% CI, 1.24 to 2.01) for children who were obese and the RD was 5.0% (95% CI, 2.0% to 8.0%); the OR was 1.35 (95% CI, 1.08 to 1.68) for body fat percentage and the RD was 4.2% (95% CI, 0.9% to 7.4%); the OR was 1.34 (95% CI, 1.08 to 1.67) for waist circumference and the RD was 4.1% (95% CI, 0.8% to 7.3%); and the OR was 1.57 (95% CI, 1.27 to 1.95) for sum of skinfolds and the RD was 6.5% (95% CI, 3.1% to 9.9%)., Conclusions and Relevance: Among women with GD identified by contemporary criteria compared with those without it, GD was significantly associated with a higher maternal risk for a disorder of glucose metabolism during long-term follow-up after pregnancy. Among children of mothers with GD vs those without it, the difference in childhood overweight or obesity defined by body mass index cutoffs was not statistically significant; however, additional measures of childhood adiposity may be relevant in interpreting the study findings.
- Published
- 2018
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28. Fetal Genotype and Maternal Glucose Have Independent and Additive Effects on Birth Weight.
- Author
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Hughes AE, Nodzenski M, Beaumont RN, Talbot O, Shields BM, Scholtens DM, Knight BA, Lowe WL Jr, Hattersley AT, and Freathy RM
- Subjects
- Adult, Black People genetics, C-Peptide metabolism, Caribbean Region, Female, Fetal Blood metabolism, Fetal Development genetics, Fetal Macrosomia metabolism, Genome-Wide Association Study, Genotype, Humans, Infant, Newborn, Insulin metabolism, Male, Mexican Americans genetics, Pregnancy, White People genetics, Birth Weight genetics, Blood Glucose metabolism, Diabetes, Gestational metabolism, Fetal Macrosomia genetics
- Abstract
Maternal glycemia is a key determinant of birth weight, but recent large-scale genome-wide association studies demonstrated an important contribution of fetal genetics. It is not known whether fetal genotype modifies the impact of maternal glycemia or whether it acts through insulin-mediated growth. We tested the effects of maternal fasting plasma glucose (FPG) and a fetal genetic score for birth weight on birth weight and fetal insulin in 2,051 European mother-child pairs from the Exeter Family Study of Childhood Health (EFSOCH) and the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study. The fetal genetic score influenced birth weight independently of maternal FPG and impacted growth at all levels of maternal glycemia. For mothers with FPG in the top tertile, the frequency of large for gestational age (birth weight ≥90th centile) was 31.1% for offspring with the highest tertile genetic score and only 14.0% for those with the lowest tertile genetic score. Unlike maternal glucose, the fetal genetic score was not associated with cord insulin or C-peptide. Similar results were seen for HAPO participants of non-European ancestry ( n = 2,842 pairs). This work demonstrates that for any level of maternal FPG, fetal genetics has a major impact on fetal growth and acts predominantly through independent mechanisms., (© 2018 by the American Diabetes Association.)
- Published
- 2018
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29. Erratum. Maternal BMI and Glycemia Impact the Fetal Metabolome. Diabetes Care 2017;40:902-910.
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Lowe WL Jr, Bain JR, Nodzenski M, Reisetter AC, Muehlbauer MJ, Stevens RD, Ilkayeva OR, Lowe LP, Metzger BE, Newgard CB, and Scholtens DM
- Published
- 2018
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30. Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics.
- Author
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Beaumont RN, Warrington NM, Cavadino A, Tyrrell J, Nodzenski M, Horikoshi M, Geller F, Myhre R, Richmond RC, Paternoster L, Bradfield JP, Kreiner-Møller E, Huikari V, Metrustry S, Lunetta KL, Painter JN, Hottenga JJ, Allard C, Barton SJ, Espinosa A, Marsh JA, Potter C, Zhang G, Ang W, Berry DJ, Bouchard L, Das S, Hakonarson H, Heikkinen J, Helgeland Ø, Hocher B, Hofman A, Inskip HM, Jones SE, Kogevinas M, Lind PA, Marullo L, Medland SE, Murray A, Murray JC, Njølstad PR, Nohr EA, Reichetzeder C, Ring SM, Ruth KS, Santa-Marina L, Scholtens DM, Sebert S, Sengpiel V, Tuke MA, Vaudel M, Weedon MN, Willemsen G, Wood AR, Yaghootkar H, Muglia LJ, Bartels M, Relton CL, Pennell CE, Chatzi L, Estivill X, Holloway JW, Boomsma DI, Montgomery GW, Murabito JM, Spector TD, Power C, Järvelin MR, Bisgaard H, Grant SFA, Sørensen TIA, Jaddoe VW, Jacobsson B, Melbye M, McCarthy MI, Hattersley AT, Hayes MG, Frayling TM, Hivert MF, Felix JF, Hyppönen E, Lowe WL Jr, Evans DM, Lawlor DA, Feenstra B, and Freathy RM
- Subjects
- Actins genetics, Adaptor Proteins, Signal Transducing, Alleles, Birth Weight physiology, Cytochrome P-450 CYP3A genetics, DNA-Binding Proteins genetics, Female, Genetic Variation genetics, Genotype, Germinal Center Kinases, Gestational Age, HMGA2 Protein genetics, Humans, Intracellular Signaling Peptides and Proteins, Kv1.3 Potassium Channel genetics, Protein Serine-Threonine Kinases genetics, Proteins genetics, Receptor, Melatonin, MT2 genetics, Trans-Activators genetics, Transcription Factor 7-Like 2 Protein genetics, Birth Weight genetics, Genome-Wide Association Study methods, Polymorphism, Single Nucleotide genetics
- Abstract
Genome-wide association studies of birth weight have focused on fetal genetics, whereas relatively little is known about the role of maternal genetic variation. We aimed to identify maternal genetic variants associated with birth weight that could highlight potentially relevant maternal determinants of fetal growth. We meta-analysed data on up to 8.7 million SNPs in up to 86 577 women of European descent from the Early Growth Genetics (EGG) Consortium and the UK Biobank. We used structural equation modelling (SEM) and analyses of mother-child pairs to quantify the separate maternal and fetal genetic effects. Maternal SNPs at 10 loci (MTNR1B, HMGA2, SH2B3, KCNAB1, L3MBTL3, GCK, EBF1, TCF7L2, ACTL9, CYP3A7) were associated with offspring birth weight at P < 5 × 10-8. In SEM analyses, at least 7 of the 10 associations were consistent with effects of the maternal genotype acting via the intrauterine environment, rather than via effects of shared alleles with the fetus. Variants, or correlated proxies, at many of the loci had been previously associated with adult traits, including fasting glucose (MTNR1B, GCK and TCF7L2) and sex hormone levels (CYP3A7), and one (EBF1) with gestational duration. The identified associations indicate that genetic effects on maternal glucose, cytochrome P450 activity and gestational duration, and potentially on maternal blood pressure and immune function, are relevant for fetal growth. Further characterization of these associations in mechanistic and causal analyses will enhance understanding of the potentially modifiable maternal determinants of fetal growth, with the goal of reducing the morbidity and mortality associated with low and high birth weights., (© The Author(s) 2018. Published by Oxford University Press.)
- Published
- 2018
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31. Maternal BMI and Glycemia Impact the Fetal Metabolome.
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Lowe WL Jr, Bain JR, Nodzenski M, Reisetter AC, Muehlbauer MJ, Stevens RD, Ilkayeva OR, Lowe LP, Metzger BE, Newgard CB, and Scholtens DM
- Subjects
- 3-Hydroxybutyric Acid blood, Adiposity, Adult, Amino Acids, Branched-Chain blood, Birth Weight, Cohort Studies, Diabetes Mellitus, Type 2 blood, Ethnicity, Female, Fetal Blood chemistry, Glucose Tolerance Test, Humans, Infant, Newborn, Insulin Resistance, Linear Models, Male, Meta-Analysis as Topic, Metabolomics, Obesity blood, Phenylalanine blood, Pregnancy, Prenatal Exposure Delayed Effects blood, Triglycerides blood, Young Adult, Blood Glucose metabolism, Body Mass Index, Fetus metabolism, Metabolome
- Abstract
Objective: We used targeted metabolomics to determine associations of maternal BMI and glucose levels with cord blood metabolites and associations of cord blood metabolites with newborn birth weight and adiposity in mother-offspring dyads., Research Design and Methods: Targeted metabolomic assays were performed on cord blood serum samples from European ancestry, Afro-Caribbean, Thai, and Mexican American newborns (400 from each ancestry group) whose mothers participated in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study and who had anthropometric measurements at birth., Results: Meta-analysis across the four cohorts demonstrated significant correlation of all cord blood metabolites analyzed with maternal fasting levels of the same metabolites at ∼28 weeks' gestation except for triglycerides, asparagine/aspartate, arginine, and the acylcarnitine C14-OH/C12-DC. Meta-analyses also demonstrated that maternal BMI with or without adjustment for maternal glucose was associated with cord blood metabolites including the branched-chain amino acids and their metabolites as well as phenylalanine. One-hour but not fasting glucose was associated with cord blood 3-hydroxybutyrate and its carnitine ester, a medium-chain acylcarnitine, and glycerol. A number of cord blood metabolites were associated with newborn birth weight and sum of skinfolds, including a negative association of triglycerides and positive association of 3-hydroxybutyrate, its carnitine ester, and serine with both newborn outcomes., Conclusions: Maternal BMI and glycemia are associated with different components of the newborn metabolome, consistent with their independent effects on newborn size at birth. Maternal BMI is associated with a newborn metabolic signature characteristic of insulin resistance and risk of type 2 diabetes in adults., (© 2017 by the American Diabetes Association.)
- Published
- 2017
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32. Targeted Metabolomics Demonstrates Distinct and Overlapping Maternal Metabolites Associated With BMI, Glucose, and Insulin Sensitivity During Pregnancy Across Four Ancestry Groups.
- Author
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Jacob S, Nodzenski M, Reisetter AC, Bain JR, Muehlbauer MJ, Stevens RD, Ilkayeva OR, Lowe LP, Metzger BE, Newgard CB, Scholtens DM, and Lowe WL Jr
- Subjects
- Amino Acids blood, Carnitine analogs & derivatives, Carnitine blood, Cohort Studies, Female, Gestational Age, Glucose Tolerance Test, Humans, Hyperglycemia blood, Hyperglycemia diagnosis, Pregnancy, Pregnancy Complications blood, Pregnancy Complications diagnosis, Pregnancy Outcome, Blood Glucose metabolism, Body Mass Index, Insulin Resistance, Metabolomics, Racial Groups
- Abstract
Objective: We used targeted metabolomics in pregnant mothers to compare maternal metabolite associations with maternal BMI, glycemia, and insulin sensitivity., Research Design and Methods: Targeted metabolomic assays of clinical metabolites, amino acids, and acylcarnitines were performed on fasting and 1-h postglucose serum samples from European ancestry, Afro-Caribbean, Thai, and Mexican American mothers (400 from each ancestry group) who participated in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study and underwent an oral glucose tolerance test at ∼28 weeks gestation., Results: K-means clustering, which identified patterns of metabolite levels across ancestry groups, demonstrated that, at both fasting and 1-h, levels of the majority of metabolites were similar across ancestry groups. Meta-analyses demonstrated association of a broad array of fasting and 1-h metabolites, including lipids and amino acids and their metabolites, with maternal BMI, glucose levels, and insulin sensitivity before and after adjustment for the different phenotypes. At fasting and 1 h, a mix of metabolites was identified that were common across phenotypes or associated with only one or two phenotypes. Partial correlation estimates, which allowed comparison of the strength of association of different metabolites with maternal phenotypes, demonstrated that metabolites most strongly associated with different phenotypes included some that were common across as well as unique to each phenotype., Conclusions: Maternal BMI and glycemia have metabolic signatures that are both shared and unique to each phenotype. These signatures largely remain consistent across different ancestry groups and may contribute to the common and independent effects of these two phenotypes on adverse pregnancy outcomes., (© 2017 by the American Diabetes Association.)
- Published
- 2017
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33. Transversions have larger regulatory effects than transitions.
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Guo C, McDowell IC, Nodzenski M, Scholtens DM, Allen AS, Lowe WL, and Reddy TE
- Subjects
- Protein Binding, Transcription Factors chemistry, Transcription Factors metabolism, Computational Biology, DNA chemistry, DNA metabolism
- Abstract
Background: Transversions (Tv's) are more likely to alter the amino acid sequence of proteins than transitions (Ts's), and local deviations in the Ts:Tv ratio are indicative of evolutionary selection on genes. Whether the two different types of mutations have different effects in non-protein-coding sequences remains unknown. Genetic variants primarily impact gene expression by disrupting the binding of transcription factors (TFs) and other DNA-binding proteins. Because Tv's cause larger changes in the shape of a DNA backbone, we hypothesized that Tv's would have larger impacts on TF binding and gene expression., Results: Here, we provide multiple lines of evidence demonstrating that Tv's have larger impacts on regulatory DNA including analyses of TF binding motifs and allele-specific TF binding. In these analyses, we observed a depletion of Tv's within TF binding motifs and TF binding sites. Using massively parallel population-scale reporter assays, we also provided empirical evidence that Tv's have larger effects than Ts's on the activity of human gene regulatory elements., Conclusions: Tv's are more likely to disrupt TF binding, resulting in larger changes in gene expression. Although the observed differences are small, these findings represent a novel, fundamental property of regulatory variation. Understanding the features of functional non-coding variation could be valuable for revealing the genetic underpinnings of complex traits and diseases in future studies.
- Published
- 2017
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34. Genetic determinants of adiponectin regulation revealed by pregnancy.
- Author
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Hivert MF, Scholtens DM, Allard C, Nodzenski M, Bouchard L, Brisson D, Lowe LP, McDowell I, Reddy T, Dastani Z, Richards JB, Hayes MG, and Lowe WL Jr
- Subjects
- Adiponectin blood, Adult, Cohort Studies, Female, Genome-Wide Association Study, Humans, Pregnancy, Adiponectin genetics
- Abstract
Objective: This study investigated genetic determinants of adiponectin during pregnancy to reveal novel biology of adipocyte regulation., Methods: A genome-wide association study was conducted in 1,322 pregnant women from the Hyperglycemia and Adverse Pregnancy Outcome Study with adiponectin measured at ∼28 weeks of gestation. Variants reaching P < 5×10
-5 for de novo genotyping in two replication cohorts (Genetics of Glycemic regulation in Gestation and Growth N = 522; ECOGENE-21 N = 174) were selected., Results: In the combined meta-analysis, the maternal T allele of rs900400 located on chr3q25 (near LEKR1/CCNL1) was associated with lower maternal adiponectin (β ± standard error [SE] = -0.18 ± 0.03 standard deviation [SD] of adiponectin per risk allele; P = 1.5 ×10-8 ; N = 2,004; multivariable adjusted models). In contrast, rs900400 showed only nominal association with adiponectin in a large sample of nonpregnant women (β ± SE = -0.012 ± 0.006; P = 0.05; N = 16,678 women from the ADIPOgen consortium). The offspring rs900400 T risk allele was associated with greater neonatal skinfold thickness (β ±SE = 0.19 ± 0.04 SD per risk allele; P = 4.1×10-8 ; N = 1,489) and higher cord blood leptin (β ± SE = 0.28 ± 0.05 log-leptin per risk allele; P = 8.2 ×10-9 ; N = 502), but not with cord blood adiponectin (P = 0.23; N = 495). The T allele of rs900400 was associated with higher expression of TIPARP in adipocytes., Conclusions: These investigations of adipokines during pregnancy and early life suggest that rs900400 has a role in adipocyte function., (© 2017 The Obesity Society.)- Published
- 2017
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35. Associations of maternal BMI and insulin resistance with the maternal metabolome and newborn outcomes.
- Author
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Sandler V, Reisetter AC, Bain JR, Muehlbauer MJ, Nodzenski M, Stevens RD, Ilkayeva O, Lowe LP, Metzger BE, Newgard CB, Scholtens DM, and Lowe WL Jr
- Subjects
- Adult, Birth Weight physiology, Blood Glucose metabolism, Female, Gestational Age, Humans, Obesity physiopathology, Pregnancy, Pregnancy Outcome, Young Adult, Body Mass Index, Insulin Resistance physiology, Metabolome physiology
- Abstract
Aims/hypothesis: Maternal obesity increases the risk for large-for-gestational-age birth and excess newborn adiposity, which are associated with adverse long-term metabolic outcomes in offspring, probably due to effects mediated through the intrauterine environment. We aimed to characterise the maternal metabolic milieu associated with maternal BMI and its relationship to newborn birthweight and adiposity., Methods: Fasting and 1 h serum samples were collected from 400 European-ancestry mothers in the Hyperglycaemia and Adverse Pregnancy Outcome Study who underwent an OGTT at ∼28 weeks gestation and whose offspring had anthropometric measurements at birth. Metabolomics assays were performed using biochemical analyses of conventional clinical metabolites, targeted MS-based measurement of amino acids and acylcarnitines and non-targeted GC/MS., Results: Per-metabolite analyses demonstrated broad associations with maternal BMI at fasting and 1 h for lipids, amino acids and their metabolites together with carbohydrates and organic acids. Similar metabolite classes were associated with insulin resistance with unique associations including branched-chain amino acids. Pathway analyses indicated overlapping and unique associations with maternal BMI and insulin resistance. Network analyses demonstrated collective associations of maternal metabolite subnetworks with maternal BMI and newborn size and adiposity, including communities of acylcarnitines, lipids and related metabolites, and carbohydrates and organic acids. Random forest analyses demonstrated contribution of lipids and lipid-related metabolites to the association of maternal BMI with newborn outcomes., Conclusions/interpretation: Higher maternal BMI and insulin resistance are associated with broad-based changes in maternal metabolites, with lipids and lipid-related metabolites accounting, in part, for the association of maternal BMI with newborn size at birth.
- Published
- 2017
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36. Mixture model normalization for non-targeted gas chromatography/mass spectrometry metabolomics data.
- Author
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Reisetter AC, Muehlbauer MJ, Bain JR, Nodzenski M, Stevens RD, Ilkayeva O, Metzger BE, Newgard CB, Lowe WL Jr, and Scholtens DM
- Subjects
- Female, Gas Chromatography-Mass Spectrometry standards, Humans, Infant, Newborn, Metabolomics standards, Models, Biological, Pregnancy, Quality Control, Gas Chromatography-Mass Spectrometry methods, Metabolomics methods
- Abstract
Background: Metabolomics offers a unique integrative perspective for health research, reflecting genetic and environmental contributions to disease-related phenotypes. Identifying robust associations in population-based or large-scale clinical studies demands large numbers of subjects and therefore sample batching for gas-chromatography/mass spectrometry (GC/MS) non-targeted assays. When run over weeks or months, technical noise due to batch and run-order threatens data interpretability. Application of existing normalization methods to metabolomics is challenged by unsatisfied modeling assumptions and, notably, failure to address batch-specific truncation of low abundance compounds., Results: To curtail technical noise and make GC/MS metabolomics data amenable to analyses describing biologically relevant variability, we propose mixture model normalization (mixnorm) that accommodates truncated data and estimates per-metabolite batch and run-order effects using quality control samples. Mixnorm outperforms other approaches across many metrics, including improved correlation of non-targeted and targeted measurements and superior performance when metabolite detectability varies according to batch. For some metrics, particularly when truncation is less frequent for a metabolite, mean centering and median scaling demonstrate comparable performance to mixnorm., Conclusions: When quality control samples are systematically included in batches, mixnorm is uniquely suited to normalizing non-targeted GC/MS metabolomics data due to explicit accommodation of batch effects, run order and varying thresholds of detectability. Especially in large-scale studies, normalization is crucial for drawing accurate conclusions from non-targeted GC/MS metabolomics data.
- Published
- 2017
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37. Genome-wide associations for birth weight and correlations with adult disease.
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Horikoshi M, Beaumont RN, Day FR, Warrington NM, Kooijman MN, Fernandez-Tajes J, Feenstra B, van Zuydam NR, Gaulton KJ, Grarup N, Bradfield JP, Strachan DP, Li-Gao R, Ahluwalia TS, Kreiner E, Rueedi R, Lyytikäinen LP, Cousminer DL, Wu Y, Thiering E, Wang CA, Have CT, Hottenga JJ, Vilor-Tejedor N, Joshi PK, Boh ETH, Ntalla I, Pitkänen N, Mahajan A, van Leeuwen EM, Joro R, Lagou V, Nodzenski M, Diver LA, Zondervan KT, Bustamante M, Marques-Vidal P, Mercader JM, Bennett AJ, Rahmioglu N, Nyholt DR, Ma RCW, Tam CHT, Tam WH, Ganesh SK, van Rooij FJ, Jones SE, Loh PR, Ruth KS, Tuke MA, Tyrrell J, Wood AR, Yaghootkar H, Scholtens DM, Paternoster L, Prokopenko I, Kovacs P, Atalay M, Willems SM, Panoutsopoulou K, Wang X, Carstensen L, Geller F, Schraut KE, Murcia M, van Beijsterveldt CE, Willemsen G, Appel EVR, Fonvig CE, Trier C, Tiesler CM, Standl M, Kutalik Z, Bonas-Guarch S, Hougaard DM, Sánchez F, Torrents D, Waage J, Hollegaard MV, de Haan HG, Rosendaal FR, Medina-Gomez C, Ring SM, Hemani G, McMahon G, Robertson NR, Groves CJ, Langenberg C, Luan J, Scott RA, Zhao JH, Mentch FD, MacKenzie SM, Reynolds RM, Lowe WL Jr, Tönjes A, Stumvoll M, Lindi V, Lakka TA, van Duijn CM, Kiess W, Körner A, Sørensen TI, Niinikoski H, Pahkala K, Raitakari OT, Zeggini E, Dedoussis GV, Teo YY, Saw SM, Melbye M, Campbell H, Wilson JF, Vrijheid M, de Geus EJ, Boomsma DI, Kadarmideen HN, Holm JC, Hansen T, Sebert S, Hattersley AT, Beilin LJ, Newnham JP, Pennell CE, Heinrich J, Adair LS, Borja JB, Mohlke KL, Eriksson JG, Widén EE, Kähönen M, Viikari JS, Lehtimäki T, Vollenweider P, Bønnelykke K, Bisgaard H, Mook-Kanamori DO, Hofman A, Rivadeneira F, Uitterlinden AG, Pisinger C, Pedersen O, Power C, Hyppönen E, Wareham NJ, Hakonarson H, Davies E, Walker BR, Jaddoe VW, Jarvelin MR, Grant SF, Vaag AA, Lawlor DA, Frayling TM, Davey Smith G, Morris AP, Ong KK, Felix JF, Timpson NJ, Perry JR, Evans DM, McCarthy MI, and Freathy RM
- Subjects
- Adult, Anthropometry, Blood Pressure genetics, Chromatin Assembly and Disassembly, Cohort Studies, Datasets as Topic, Female, Genetic Loci genetics, Genetic Variation genetics, Genomic Imprinting genetics, Genotype, Glucose metabolism, Glycogen biosynthesis, Humans, Insulin metabolism, Male, Phenotype, Signal Transduction, Aging genetics, Birth Weight genetics, Coronary Artery Disease genetics, Diabetes Mellitus, Type 2 genetics, Fetus metabolism, Genetic Predisposition to Disease, Genome-Wide Association Study
- Abstract
Birth weight (BW) has been shown to be influenced by both fetal and maternal factors and in observational studies is reproducibly associated with future risk of adult metabolic diseases including type 2 diabetes (T2D) and cardiovascular disease. These life-course associations have often been attributed to the impact of an adverse early life environment. Here, we performed a multi-ancestry genome-wide association study (GWAS) meta-analysis of BW in 153,781 individuals, identifying 60 loci where fetal genotype was associated with BW (P < 5 × 10
-8 ). Overall, approximately 15% of variance in BW was captured by assays of fetal genetic variation. Using genetic association alone, we found strong inverse genetic correlations between BW and systolic blood pressure (Rg = -0.22, P = 5.5 × 10-13 ), T2D (Rg = -0.27, P = 1.1 × 10-6 ) and coronary artery disease (Rg = -0.30, P = 6.5 × 10-9 ). In addition, using large -cohort datasets, we demonstrated that genetic factors were the major contributor to the negative covariance between BW and future cardiometabolic risk. Pathway analyses indicated that the protein products of genes within BW-associated regions were enriched for diverse processes including insulin signalling, glucose homeostasis, glycogen biosynthesis and chromatin remodelling. There was also enrichment of associations with BW in known imprinted regions (P = 1.9 × 10-4 ). We demonstrate that life-course associations between early growth phenotypes and adult cardiometabolic disease are in part the result of shared genetic effects and identify some of the pathways through which these causal genetic effects are mediated., Competing Interests: One of the authors discloses competing financial interests: Krina Zondervan has a scientific collaboration with Bayer HealthCare Ltd. and Population Diagnostics Inc.- Published
- 2016
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38. Metabolic Networks and Metabolites Underlie Associations Between Maternal Glucose During Pregnancy and Newborn Size at Birth.
- Author
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Scholtens DM, Bain JR, Reisetter AC, Muehlbauer MJ, Nodzenski M, Stevens RD, Ilkayeva O, Lowe LP, Metzger BE, Newgard CB, and Lowe WL Jr
- Subjects
- Adult, Body Mass Index, Female, Gas Chromatography-Mass Spectrometry, Glucose Tolerance Test, Humans, Infant, Newborn, Pregnancy, Pregnancy Outcome, Triglycerides blood, Birth Weight physiology, Blood Glucose metabolism, Metabolic Networks and Pathways physiology
- Abstract
Maternal metabolites and metabolic networks underlying associations between maternal glucose during pregnancy and newborn birth weight and adiposity demand fuller characterization. We performed targeted and nontargeted gas chromatography/mass spectrometry metabolomics on maternal serum collected at fasting and 1 h following glucose beverage consumption during an oral glucose tolerance test (OGTT) for 400 northern European mothers at ∼28 weeks' gestation in the Hyperglycemia and Adverse Pregnancy Outcome Study. Amino acids, fatty acids, acylcarnitines, and products of lipid metabolism decreased and triglycerides increased during the OGTT. Analyses of individual metabolites indicated limited maternal glucose associations at fasting, but broader associations, including amino acids, fatty acids, carbohydrates, and lipids, were found at 1 h. Network analyses modeling metabolite correlations provided context for individual metabolite associations and elucidated collective associations of multiple classes of metabolic fuels with newborn size and adiposity, including acylcarnitines, fatty acids, carbohydrates, and organic acids. Random forest analyses indicated an improved ability to predict newborn size outcomes by using maternal metabolomics data beyond traditional risk factors, including maternal glucose. Broad-scale association of fuel metabolites with maternal glucose is evident during pregnancy, with unique maternal metabolites potentially contributing specifically to newborn birth weight and adiposity., (© 2016 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.)
- Published
- 2016
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39. Genetic Evidence for Causal Relationships Between Maternal Obesity-Related Traits and Birth Weight.
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Tyrrell J, Richmond RC, Palmer TM, Feenstra B, Rangarajan J, Metrustry S, Cavadino A, Paternoster L, Armstrong LL, De Silva NM, Wood AR, Horikoshi M, Geller F, Myhre R, Bradfield JP, Kreiner-Møller E, Huikari V, Painter JN, Hottenga JJ, Allard C, Berry DJ, Bouchard L, Das S, Evans DM, Hakonarson H, Hayes MG, Heikkinen J, Hofman A, Knight B, Lind PA, McCarthy MI, McMahon G, Medland SE, Melbye M, Morris AP, Nodzenski M, Reichetzeder C, Ring SM, Sebert S, Sengpiel V, Sørensen TI, Willemsen G, de Geus EJ, Martin NG, Spector TD, Power C, Järvelin MR, Bisgaard H, Grant SF, Nohr EA, Jaddoe VW, Jacobsson B, Murray JC, Hocher B, Hattersley AT, Scholtens DM, Davey Smith G, Hivert MF, Felix JF, Hyppönen E, Lowe WL Jr, Frayling TM, Lawlor DA, and Freathy RM
- Subjects
- Adult, Blood Pressure genetics, Diabetes Mellitus, Type 2 genetics, Female, Genotype, Humans, Infant, Newborn, Mendelian Randomization Analysis, Obesity blood, Obesity ethnology, Polymorphism, Single Nucleotide, Pregnancy, Triglycerides genetics, White People, Birth Weight genetics, Blood Glucose genetics, Body Mass Index, Fasting blood, Obesity genetics
- Abstract
Importance: Neonates born to overweight or obese women are larger and at higher risk of birth complications. Many maternal obesity-related traits are observationally associated with birth weight, but the causal nature of these associations is uncertain., Objective: To test for genetic evidence of causal associations of maternal body mass index (BMI) and related traits with birth weight., Design, Setting, and Participants: Mendelian randomization to test whether maternal BMI and obesity-related traits are potentially causally related to offspring birth weight. Data from 30,487 women in 18 studies were analyzed. Participants were of European ancestry from population- or community-based studies in Europe, North America, or Australia and were part of the Early Growth Genetics Consortium. Live, term, singleton offspring born between 1929 and 2013 were included., Exposures: Genetic scores for BMI, fasting glucose level, type 2 diabetes, systolic blood pressure (SBP), triglyceride level, high-density lipoprotein cholesterol (HDL-C) level, vitamin D status, and adiponectin level., Main Outcome and Measure: Offspring birth weight from 18 studies., Results: Among the 30,487 newborns the mean birth weight in the various cohorts ranged from 3325 g to 3679 g. The maternal genetic score for BMI was associated with a 2-g (95% CI, 0 to 3 g) higher offspring birth weight per maternal BMI-raising allele (P = .008). The maternal genetic scores for fasting glucose and SBP were also associated with birth weight with effect sizes of 8 g (95% CI, 6 to 10 g) per glucose-raising allele (P = 7 × 10(-14)) and -4 g (95% CI, -6 to -2 g) per SBP-raising allele (P = 1×10(-5)), respectively. A 1-SD ( ≈ 4 points) genetically higher maternal BMI was associated with a 55-g higher offspring birth weight (95% CI, 17 to 93 g). A 1-SD ( ≈ 7.2 mg/dL) genetically higher maternal fasting glucose concentration was associated with 114-g higher offspring birth weight (95% CI, 80 to 147 g). However, a 1-SD ( ≈ 10 mm Hg) genetically higher maternal SBP was associated with a 208-g lower offspring birth weight (95% CI, -394 to -21 g). For BMI and fasting glucose, genetic associations were consistent with the observational associations, but for systolic blood pressure, the genetic and observational associations were in opposite directions., Conclusions and Relevance: In this mendelian randomization study, genetically elevated maternal BMI and blood glucose levels were potentially causally associated with higher offspring birth weight, whereas genetically elevated maternal SBP was potentially causally related to lower birth weight. If replicated, these findings may have implications for counseling and managing pregnancies to avoid adverse weight-related birth outcomes.
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- 2016
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40. Nonablative Fractional Laser Resurfacing for Acne Scarring in Patients With Fitzpatrick Skin Phototypes IV-VI.
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Alexis AF, Coley MK, Nijhawan RI, Luke JD, Shah SK, Argobi YA, Nodzenski M, Veledar E, and Alam M
- Subjects
- Cicatrix etiology, Double-Blind Method, Female, Humans, Hyperpigmentation etiology, Lasers, Solid-State adverse effects, Low-Level Light Therapy adverse effects, Male, Pain etiology, Severity of Illness Index, Skin Pigmentation, Acne Vulgaris complications, Cicatrix radiotherapy, Cosmetic Techniques adverse effects, Facial Dermatoses radiotherapy, Lasers, Solid-State therapeutic use, Low-Level Light Therapy methods
- Abstract
Background: There is a paucity of studies investigating laser resurfacing in Fitzpatrick skin phototypes (SPT) IV to VI., Objective: To assess the efficacy and safety of fractional nonablative laser resurfacing in the treatment of acne scarring in patients with SPT IV to VI., Methods and Materials: The authors conducted a randomized, investigator-blinded and rater-blinded, split-face comparative study of adults with SPT IV to VI and facial acne scars treated with 2 different density settings and the same fluence., Results: Quantitative global scarring grading system (QGSGS) scores were significantly improved from baseline at 16 and 24 weeks (p = .0277). Improvements in QGSGS scores after higher and lower density treatments were statistically similar (p = .96). The live-blinded dermatologist, the blinded dermatologist photoraters, and the patients rated scars as being significantly more improved by visual analog scale at weeks 16 and 24 compared with baseline (p < .001) for both treatment densities. Five of 7 and 3 of 7 patients in the higher and lower density group, respectively, experienced mild or moderate hyperpigmentation as an investigator observed site reaction., Conclusion: The nonablative 1550-nm fractional laser is safe and efficacious in treating acne scaring in Fitzpatrick skin types IV to VI. Self-limited postinflammatory hyperpigmentation was a common occurrence, especially with higher treatment densities.
- Published
- 2016
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41. Correlation of Inflammation in Frozen Sections With Site of Nonmelanoma Skin Cancer.
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Alam M, Khan M, Veledar E, Pongprutthipan M, Flores A, Dubina M, Nodzenski M, and Yoo SS
- Subjects
- Academic Medical Centers, Cohort Studies, Humans, Mohs Surgery, Retrospective Studies, Carcinoma, Basal Cell pathology, Carcinoma, Squamous Cell pathology, Frozen Sections, Inflammation pathology, Skin Neoplasms pathology
- Abstract
Importance: During Mohs micrographic surgery of nonmelanoma skin cancer (NMSC), inflammation in histologic frozen sections has been found to occasionally presage the detection of tumors in frozen sections of adjacent excision specimens., Objective: To quantify the correlation between the location of inflammation without visible tumor in histologic frozen sections and the location of subsequently detected NMSC., Design, Setting, and Participants: A retrospective cohort study of 3148 cases pertaining to frozen sections associated with the staged excision of NMSC was performed from September 8, 2008, to September 18, 2009, at an urban academic medical center, with the collected data analyzed on May 9, 2013., Exposures: Consecutive cases of Mohs micrographic surgery performed at an academic medical center., Main Outcomes and Measures: For each wedge-shaped tissue segment corresponding with 1 hour of time on a clock face, the proportion of patients with inflammation at the source location of the segment who subsequently had a tumor at this same location; the proportion of patients who had neither inflammation nor subsequent tumor at the source location of the segment; the probability of subsequent tumor at this location given the prior finding of inflammation at the same location; and the probability that a location was without tumor in the absence of preexisting inflammation at that location., Results: Of the medical records of 3148 cases of NMSC that were reviewed, 60 showed inflammation in histologic frozen sections from an excision specimen that was followed by tumor in the subsequent excision specimen. Of these 60, 39 (65%) were b asal cel carcinoma and 21 (35%) were squamous cell carcinomas; 53 (88%) were Mohs stage 1. In 7 of 12 segments, a significant positive correlation was found between the presence of inflammation and the presence of nearby tumor with correlation coefficients ranging from 0.196 to 0.384 (P < .05) . The probability that tumor was absent when inflammation was not seen at a particular location (ie, clock-face segment) in preceding sections from that location was 91%, with segment-specific probability values ranging from 82% to 96%., Conclusions and Relevance: During Mohs micrographic surgery of NMSC with the examination of frozen sections, histologic inflammation is modestly predictive of adjacent tumor whereas lack of inflammation strongly predicts that no additional tumor will be found.
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- 2016
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42. Effect of Needle Size on Pain Perception in Patients Treated With Botulinum Toxin Type A Injections: A Randomized Clinical Trial.
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Alam M, Geisler A, Sadhwani D, Goyal A, Poon E, Nodzenski M, Schaeffer MR, Tung R, and Minkis K
- Subjects
- Adult, Aged, Double-Blind Method, Female, Humans, Injections, Middle Aged, Pain Measurement, Skin Aging drug effects, Surveys and Questionnaires, Botulinum Toxins, Type A administration & dosage, Needles, Neuromuscular Agents administration & dosage, Pain etiology, Pain Perception
- Abstract
Importance: Transcutaneous injection through smaller hollow-bore needles may decrease patient discomfort, but current evidence is equivocal., Objective: To compare injection discomfort in patients treated with botulinum toxin type A with 30- and 32-gauge needles., Design, Setting, and Participants: Split-face, patient- and injector-blinded randomized clinical trial at the dermatology service of an urban university medical center. The 20 participants were women aged 25 to 70 years in good health and with moderate dynamic forehead and glabellar wrinkles. Data were collected from November 20, 2013, through January 16, 2014. Follow-up was complete on January 16, 2014. Data from the per-protocol population were analyzed from July 1 to July 31, 2014., Interventions: One side of each patient'sforehead received botulinum toxin type A in saline injected with a 32-gauge needle; the other side received the same treatment injected with a 30-gauge needle. In addition, each patient received randomized injections of saline only to both upper inner arms with the same types of needles., Main Outcomes and Measures: Primary outcomes included the patient-reported pain rating on a visual analog scale (VAS) on either side of the face and arms and the proportion of patients whose VAS ratings corresponded with more than moderate (ie, clinically significant) pain. The secondary outcome consisted of patient-reported information about the character of the pain at both sites using the expanded and revised version of the Short-Form McGill Pain Questionnaire., Results: All 20 patients completed the study. Overall, facial and arm injections were nominally but not significantly more painful with 30-gauge needles (mean [SD] VAS ratings for the face, 4.16 [2.55] vs 3.41 [2.31], P = .34; for the arm, 1.66 [2.07] vs 1.21 [1.65], P = .45). For facial injections, the likelihood of clinically significant pain (VAS rating, ≥5.4) was significantly greater with 30-gauge needles, which were associated with such pain in 8 patients (40%) compared with the 32-gauge needles, which were associated with such pain in 3 patients (15%) (odds ratio, 3.80 [95% CI, 1.05-13.78]; P = .04). No difference was found in the character of pain associated with needle bore (P > .05 for all comparisons)., Conclusions and Relevance: For facial injections of neurotoxin in saline, 30-gauge needles were associated with greater incidence of clinically significant pain than 32-gauge needles. For patients prone to experience clinically significant pain with facial injections, use of 32-gauge needles may minimize this discomfort., Trial Registration: clinicaltrials.gov Identifier: NCT01981174.
- Published
- 2015
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43. Active ascertainment of recurrence rate after treatment of primary basal cell carcinoma (BCC).
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Alam M, Desai S, Nodzenski M, Dubina M, Kim N, Martini M, Fife D, Reid D, Pirigyi M, Poon E, Hsu J, Yoo S, and Bhatia A
- Subjects
- Adult, Age Distribution, Aged, Aged, 80 and over, Biopsy, Needle, Carcinoma, Basal Cell surgery, Cohort Studies, Cross-Sectional Studies, Female, Follow-Up Studies, Humans, Immunohistochemistry, Incidence, Male, Middle Aged, Neoplasm Recurrence, Local pathology, Predictive Value of Tests, Retrospective Studies, Risk Assessment, Sensitivity and Specificity, Sex Distribution, Skin Neoplasms surgery, Time Factors, Carcinoma, Basal Cell pathology, Mohs Surgery methods, Neoplasm Recurrence, Local epidemiology, Skin Neoplasms pathology
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- 2015
- Full Text
- View/download PDF
44. Massively parallel quantification of the regulatory effects of noncoding genetic variation in a human cohort.
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Vockley CM, Guo C, Majoros WH, Nodzenski M, Scholtens DM, Hayes MG, Lowe WL Jr, and Reddy TE
- Subjects
- Computational Biology methods, Genome, Human, Haplotypes, Humans, Patient-Specific Modeling, Quantitative Trait Loci, Genetic Variation, High-Throughput Nucleotide Sequencing methods, Regulatory Sequences, Nucleic Acid
- Abstract
We report a novel high-throughput method to empirically quantify individual-specific regulatory element activity at the population scale. The approach combines targeted DNA capture with a high-throughput reporter gene expression assay. As demonstration, we measured the activity of more than 100 putative regulatory elements from 95 individuals in a single experiment. In agreement with previous reports, we found that most genetic variants have weak effects on distal regulatory element activity. Because haplotypes are typically maintained within but not between assayed regulatory elements, the approach can be used to identify causal regulatory haplotypes that likely contribute to human phenotypes. Finally, we demonstrate the utility of the method to functionally fine map causal regulatory variants in regions of high linkage disequilibrium identified by expression quantitative trait loci (eQTL) analyses., (© 2015 Vockley et al.; Published by Cold Spring Harbor Laboratory Press.)
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- 2015
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45. Multicenter prospective cohort study of the incidence of adverse events associated with cosmetic dermatologic procedures: lasers, energy devices, and injectable neurotoxins and fillers.
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Alam M, Kakar R, Nodzenski M, Ibrahim O, Disphanurat W, Bolotin D, Borovicka JH, Pace N, Alster TS, Arndt KA, Beer KR, Berlin JM, Bernstein LJ, Brightman LA, Butterwick K, Cox SE, Chotzen V, Fabi SG, Fitzpatrick RE, Geronemus RG, Goldman MP, Groff WF, Kaminer MS, Kilmer S, Rohrer TE, Tanzi EL, Silva SK, Yoo SS, Weinkle SH, Strasswimmer J, Poon E, and Dover JS
- Subjects
- Adult, Aged, Aged, 80 and over, Cohort Studies, Dermatology methods, Female, Follow-Up Studies, Humans, Incidence, Injections, Laser Therapy methods, Male, Middle Aged, Neurotoxins administration & dosage, Prospective Studies, Cosmetic Techniques adverse effects, Laser Therapy adverse effects, Neurotoxins adverse effects
- Abstract
Importance: Common noninvasive to minimally invasive cosmetic dermatologic procedures are widely believed to be safe given the low incidence of reported adverse events, but reliable incidence data regarding adverse event rates are unavailable to date., Objective: To assess the incidence of adverse events associated with noninvasive to minimally invasive cosmetic dermatologic procedures, including those involving laser and energy devices, as well as injectable neurotoxins and fillers., Design, Setting, and Participants: A multicenter prospective cohort study (March 28, 2011, to December 30, 2011) of procedures performed using laser and energy devices, as well as injectable neurotoxins and soft-tissue augmentation materials, among 8 geographically dispersed US private and institutional dermatology outpatient clinical practices focused on cosmetic dermatology, with a total of 23 dermatologists. Participants represented a consecutive sample of 20 399 cosmetic procedures. Data acquisition was for 3 months (13 weeks) per center, with staggered start dates to account for seasonal variation., Exposures: Web-based data collection daily at each center to record relevant procedures, by category type and subtype. Adverse events were detected by (1) initial observation by participating physicians or staff; (2) active ascertainment from patients, who were encouraged to self-report after their procedure; and (3) follow-up postprocedural phone calls to patients by staff, if appropriate. When adverse events were not observed by physicians but were suspected, follow-up visits were scheduled within 24 hours to characterize these events. Detailed information regarding each adverse event was entered into an online form., Main Outcomes and Measures: The main outcome was the total incidence of procedure-related adverse events (total adverse events divided by total procedures performed), as verified by clinical examination., Results: Forty-eight adverse events were reported, for a rate of 0.24% (95% CI, 0.18%-0.31%). Overall, 36 procedures resulted in at least 1 adverse event, for a rate of 0.18% (95% CI, 0.13%-0.25%). No serious adverse events were reported. Adverse events were infrequently associated with known risk factors., Conclusions and Relevance: Noninvasive to minimally invasive cosmetic dermatologic procedures, including energy, neurotoxin, and filler procedures, are safe when performed by experienced board-certified dermatologists. Adverse events occur in less than 1% of patients, and most of these are minor and transient.
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- 2015
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46. Treatment of keratosis pilaris with 810-nm diode laser: a randomized clinical trial.
- Author
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Ibrahim O, Khan M, Bolotin D, Dubina M, Nodzenski M, Disphanurat W, Kakar R, Yoo S, Whiting D, West DP, Poon E, Veledar E, and Alam M
- Subjects
- Adolescent, Adult, Aged, Equipment Design, Female, Follow-Up Studies, Humans, Male, Middle Aged, Retrospective Studies, Single-Blind Method, Treatment Outcome, Young Adult, Abnormalities, Multiple radiotherapy, Darier Disease radiotherapy, Eyebrows abnormalities, Lasers, Solid-State therapeutic use, Low-Level Light Therapy methods
- Abstract
Importance: Keratosis pilaris (KP) is a common skin disorder of follicular prominence and erythema that typically affects the proximal extremities, can be disfiguring, and is often resistant to treatment. Shorter-wavelength vascular lasers have been used to reduce the associated erythema but not the textural irregularity., Objective: To determine whether the longer-wavelength 810-nm diode laser may be effective for treatment of KP, particularly the associated skin roughness/bumpiness and textural irregularity., Design, Setting, and Participants: We performed a split-body, rater-blinded, parallel-group, balanced (1:1), placebo-controlled randomized clinical trial at a dermatology outpatient practice of an urban academic medical center from March 1 to October 1, 2011. We included all patients diagnosed as having KP on both arms and Fitzpatrick skin types I through III. Of the 26 patients who underwent screening, 23 met our enrollment criteria. Of these, 18 patients completed the study, 3 were lost to or unavailable for follow-up, and 2 withdrew owing to inflammatory hyperpigmentation after the laser treatment., Interventions: Patients were randomized to receive laser treatment on the right or left arm. Each patient received treatment with the 810-nm pulsed diode laser to the arm randomized to be the treatment site. Treatments were repeated twice, for a total of 3 treatment visits spaced 4 to 5 weeks apart., Main Outcomes and Measures: The primary outcome measure was the difference in disease severity score, including redness and roughness/bumpiness, with each graded on a scale of 0 (least severe) to 3 (most severe), between the treated and control sites. Two blinded dermatologists rated the sites at 12 weeks after the initial visit., Results: At follow-up, the median redness score reported by the 2 blinded raters for the treatment and control sides was 2.0 (interquartile range [IQR], 1-2; P = .11). The median roughness/bumpiness score was 1.0 (IQR, 1-2) for the treatment sides and 2.0 (IQR, 1-2) for the control sides, a difference of 1 (P = .004). The median overall score combining erythema and roughness/bumpiness was 3.0 (IQR, 2-4) for the treatment sides and 4.0 (IQR, 3-5) for the control sides, a difference of 1 (P = .005)., Conclusions and Relevance: Three treatments with the 810-nm diode laser may induce significant improvements in skin texture and roughness/bumpiness in KP patients with Fitzpatrick skin types I through III, but baseline erythema is not improved. Complete treatment of erythema and texture in KP may require diode laser treatment combined with other laser or medical modalities that address redness., Trial Registration: clinicaltrials.gov Identifier: NCT01281644.
- Published
- 2015
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47. A systematic review of reporting in randomized controlled trials in Dermatologic Surgery: Jadad scores, power analysis, and sample size determination.
- Author
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Alam M, Rauf M, Ali S, Nodzenski M, and Minkis K
- Subjects
- Humans, Randomized Controlled Trials as Topic, Sample Size, Bibliometrics, Dermatologic Surgical Procedures, Periodicals as Topic standards, Publishing standards, Research Design
- Abstract
Background: Dermatologic surgery is a fruitful research area that has spawned numerous randomized control trials (RCTs)., Objective: To assess the quality of reporting of randomization, blinding, sample size, and power analysis in RCTs published in the journal Dermatologic Surgery., Materials and Methods: Randomized control trials published in Dermatologic Surgery between 1995 and 2012 were assessed regarding the quality of trial reporting. Data extraction performed independently by 2 data extractors., Results: Dramatic increases in the numbers of RCTs in dermatologic surgery were noted in successive 5-year periods, from 39 in 1995 to 1999 to 66 in 2000 to 2004 and 131 in 2005 to 2009. The median Jadad score for articles from 1995 to 1999 was 1 and was 2 for articles since 2000. Subjects per study were 20 during 1995 to 1999, 25.5 from 2000 to 2004, and over 30 since 2005. Power analysis with sample size determination was reported in 0 articles during 1995 to 1999; greater than 13% of articles since 2005. Alpha level was specified for 37% of RCTs from 1995 to 1999 and 64% to 70% since 2005., Conclusion: During the last 20 years, the number of RCTs in Dermatologic Surgery has grown rapidly, almost doubling every 5 years, because the number of subjects per study has also increased and the quality of reporting has significantly improved.
- Published
- 2014
- Full Text
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48. Metabomxtr: an R package for mixture-model analysis of non-targeted metabolomics data.
- Author
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Nodzenski M, Muehlbauer MJ, Bain JR, Reisetter AC, Lowe WL Jr, and Scholtens DM
- Subjects
- Female, Humans, Models, Statistical, Pregnancy, Metabolomics methods, Software
- Abstract
Summary: Non-targeted metabolomics technologies often yield data in which abundance for any given metabolite is observed and quantified for some samples and reported as missing for other samples. Apparent missingness can be due to true absence of the metabolite in the sample or presence at a level below detectability. Mixture-model analysis can formally account for metabolite 'missingness' due to absence or undetectability, but software for this type of analysis in the high-throughput setting is limited. The R package metabomxtr has been developed to facilitate mixture-model analysis of non-targeted metabolomics data in which only a portion of samples have quantifiable abundance for certain metabolites., Availability and Implementation: metabomxtr is available through Bioconductor. It is released under the GPL-2 license., Contact: dscholtens@northwestern.edu, Supplementary Information: Supplementary data are available at Bioinformatics online., (© The Author 2014. Published by Oxford University Press.)
- Published
- 2014
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49. Multifunctional skin-like electronics for quantitative, clinical monitoring of cutaneous wound healing.
- Author
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Hattori Y, Falgout L, Lee W, Jung SY, Poon E, Lee JW, Na I, Geisler A, Sadhwani D, Zhang Y, Su Y, Wang X, Liu Z, Xia J, Cheng H, Webb RC, Bonifas AP, Won P, Jeong JW, Jang KI, Song YM, Nardone B, Nodzenski M, Fan JA, Huang Y, West DP, Paller AS, Alam M, Yeo WH, and Rogers JA
- Subjects
- Aged, Equipment Design, Female, Humans, Male, Middle Aged, Silicones, Skin Temperature physiology, Surgical Tape, Thermography instrumentation, Electronics, Medical instrumentation, Monitoring, Physiologic instrumentation, Wound Healing physiology
- Abstract
Non-invasive, biomedical devices have the potential to provide important, quantitative data for the assessment of skin diseases and wound healing. Traditional methods either rely on qualitative visual and tactile judgments of a professional and/or data obtained using instrumentation with forms that do not readily allow intimate integration with sensitive skin near a wound site. Here, an electronic sensor platform that can softly and reversibly laminate perilesionally at wounds to provide highly accurate, quantitative data of relevance to the management of surgical wound healing is reported. Clinical studies on patients using thermal sensors and actuators in fractal layouts provide precise time-dependent mapping of temperature and thermal conductivity of the skin near the wounds. Analytical and simulation results establish the fundamentals of the sensing modalities, the mechanics of the system, and strategies for optimized design. The use of this type of "epidermal" electronics system in a realistic clinical setting with human subjects establishes a set of practical procedures in disinfection, reuse, and protocols for quantitative measurement. The results have the potential to address important unmet needs in chronic wound management., (© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)
- Published
- 2014
- Full Text
- View/download PDF
50. Efficacy of a needling device for the treatment of acne scars: a randomized clinical trial.
- Author
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Alam M, Han S, Pongprutthipan M, Disphanurat W, Kakar R, Nodzenski M, Pace N, Kim N, Yoo S, Veledar E, Poon E, and West DP
- Subjects
- Adult, Aged, Cicatrix etiology, Cicatrix pathology, Cosmetic Techniques adverse effects, Face, Facial Dermatoses etiology, Facial Dermatoses pathology, Female, Humans, Male, Middle Aged, Severity of Illness Index, Single-Blind Method, Treatment Outcome, Acne Vulgaris complications, Cicatrix therapy, Cosmetic Techniques instrumentation, Facial Dermatoses therapy, Needles
- Abstract
Importance: Neocollagenesis can be achieved using a dermal rolling needle device, thereby reducing the appearance of acne scars., Objective: To determine the efficacy of a needling device for treatment of acne scars., Design, Setting, and Participants: We performed a single-center, rater-blinded, balanced (1:1), split-face, placebo-controlled, parallel-group randomized clinical trial at an urban academic institution. The study took place from November 30, 2009, through July 27, 2010. Twenty healthy adults (age range, 20-65 years) with acne scars on both sides of the face were enrolled. Fifteen individuals completed the study, and no enrolled participants were withdrawn for adverse effects., Interventions: For each participant, one side of the face was randomized for needling. Three needling treatments were performed at 2-week intervals., Main Outcomes and Measures: Two blinded dermatologists separately rated participants' acne scars based on standard digital photographs obtained at baseline and at the 3-month and 6-month follow-up visits on the quantitative global scarring grading system., Results: Mean scar scores were significantly lower in the treatment group compared with baseline at 6 months (mean difference, 3.4; 95% CI, 0.2-6.5; P = .03) and nominally but not significantly lower compared with baseline at 3 months (mean difference, 2.4; 95% CI, -0.01 to 4.8; P = .052). In the control group, mean scar scores did not vary significantly from baseline at 3 months (mean difference, 1.0; 95% CI, -1.4 to 3.4; P = .96) and at 6 months (mean difference, 0.4; 95% CI, -2.3 to 3.5; P > .99). The needling procedure was not particularly painful, with a mean pain rating of 1.08 of 10. Participants perceived a 41% mean improvement in overall scar appearance on the treated side. No adverse events were reported., Conclusions and Relevance: After 3 needling treatments, there was improvement in the appearance of acne scars over time compared with the control group, with minimal pain reported., Trial Registration: clinicaltrials.gov Identifier: NCT00974870.
- Published
- 2014
- Full Text
- View/download PDF
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