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10 results on '"Yajnik, Pranav"'

2. Exome sequencing of Finnish isolates enhances rare-variant association power

Author

Locke, Adam E., Steinberg, Karyn Meltz, Chiang, Charleston W. K., Service, Susan K., Havulinna, Aki S., Stell, Laurel, Pirinen, Matti, Abel, Haley J., Chiang, Colby C., Fulton, Robert S., Jackson, Anne U., Kang, Chul Joo, Kanchi, Krishna L., Koboldt, Daniel C., Larson, David E., Nelson, Joanne, Nicholas, Thomas J., Pietilä, Arto, Ramensky, Vasily, Ray, Debashree, Scott, Laura J., Stringham, Heather M., Vangipurapu, Jagadish, Welch, Ryan, Yajnik, Pranav, Yin, Xianyong, Eriksson, Johan G., Ala-Korpela, Mika, Järvelin, Marjo-Riitta, Männikkö, Minna, Laivuori, Hannele, Dutcher, Susan K., Stitziel, Nathan O., Wilson, Richard K., Hall, Ira M., Sabatti, Chiara, Palotie, Aarno, Salomaa, Veikko, Laakso, Markku, Ripatti, Samuli, Boehnke, Michael, and Freimer, Nelson B.

Published
2019
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3. Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

Author

Mahajan, Anubha, Wessel, Jennifer, Willems, Sara M., Zhao, Wei, Robertson, Neil R., Chu, Audrey Y., Gan, Wei, Kitajima, Hidetoshi, Taliun, Daniel, Rayner, N. William, Guo, Xiuqing, Lu, Yingchang, Li, Man, Jensen, Richard A., Hu, Yao, Huo, Shaofeng, Lohman, Kurt K., Zhang, Weihua, Cook, James P., Prins, Bram Peter, Flannick, Jason, Grarup, Niels, Trubetskoy, Vassily Vladimirovich, Kravic, Jasmina, Kim, Young Jin, Rybin, Denis V., Yaghootkar, Hanieh, Müller-Nurasyid, Martina, Meidtner, Karina, Li-Gao, Ruifang, Varga, Tibor V., Marten, Jonathan, Li, Jin, Smith, Albert Vernon, An, Ping, Ligthart, Symen, Gustafsson, Stefan, Malerba, Giovanni, Demirkan, Ayse, Tajes, Juan Fernandez, Steinthorsdottir, Valgerdur, Wuttke, Matthias, Lecoeur, Cécile, Preuss, Michael, Bielak, Lawrence F., Graff, Marielisa, Highland, Heather M., Justice, Anne E., Liu, Dajiang J., Marouli, Eirini, Peloso, Gina Marie, Warren, Helen R., Afaq, Saima, Afzal, Shoaib, Ahlqvist, Emma, Almgren, Peter, Amin, Najaf, Bang, Lia B., Bertoni, Alain G., Bombieri, Cristina, Bork-Jensen, Jette, Brandslund, Ivan, Brody, Jennifer A., Burtt, Noël P., Canouil, Mickaël, Chen, Yii-Der Ida, Cho, Yoon Shin, Christensen, Cramer, Eastwood, Sophie V., Eckardt, Kai-Uwe, Fischer, Krista, Gambaro, Giovanni, Giedraitis, Vilmantas, Grove, Megan L., de Haan, Hugoline G., Hackinger, Sophie, Hai, Yang, Han, Sohee, Tybjærg-Hansen, Anne, Hivert, Marie-France, Isomaa, Bo, Jäger, Susanne, Jørgensen, Marit E., Jørgensen, Torben, Käräjämäki, Annemari, Kim, Bong-Jo, Kim, Sung Soo, Koistinen, Heikki A., Kovacs, Peter, Kriebel, Jennifer, Kronenberg, Florian, Läll, Kristi, Lange, Leslie A., Lee, Jung-Jin, Lehne, Benjamin, Li, Huaixing, Lin, Keng-Hung, Linneberg, Allan, Liu, Ching-Ti, Liu, Jun, Loh, Marie, Mägi, Reedik, Mamakou, Vasiliki, McKean-Cowdin, Roberta, Nadkarni, Girish, Neville, Matt, Nielsen, Sune F., Ntalla, Ioanna, Peyser, Patricia A., Rathmann, Wolfgang, Rice, Kenneth, Rich, Stephen S., Rode, Line, Rolandsson, Olov, Schönherr, Sebastian, Selvin, Elizabeth, Small, Kerrin S., Stančáková, Alena, Surendran, Praveen, Taylor, Kent D., Teslovich, Tanya M., Thorand, Barbara, Thorleifsson, Gudmar, Tin, Adrienne, Tönjes, Anke, Varbo, Anette, Witte, Daniel R., Wood, Andrew R., Yajnik, Pranav, Yao, Jie, Yengo, Loïc, Young, Robin, Amouyel, Philippe, Boeing, Heiner, Boerwinkle, Eric, Bottinger, Erwin P., Chowdhury, Rajiv, Collins, Francis S., Dedoussis, George, Dehghan, Abbas, Deloukas, Panos, Ferrario, Marco M., Ferrières, Jean, Florez, Jose C., Frossard, Philippe, Gudnason, Vilmundur, Harris, Tamara B., Heckbert, Susan R., Howson, Joanna M. M., Ingelsson, Martin, Kathiresan, Sekar, Kee, Frank, Kuusisto, Johanna, Langenberg, Claudia, Launer, Lenore J., Lindgren, Cecilia M., Männistö, Satu, Meitinger, Thomas, Melander, Olle, Mohlke, Karen L., Moitry, Marie, Morris, Andrew D., Murray, Alison D., de Mutsert, Renée, Orho-Melander, Marju, Owen, Katharine R., Perola, Markus, Peters, Annette, Province, Michael A., Rasheed, Asif, Ridker, Paul M., Rivadineira, Fernando, Rosendaal, Frits R., Rosengren, Anders H., Salomaa, Veikko, Sheu, Wayne H.-H., Sladek, Rob, Smith, Blair H., Strauch, Konstantin, Uitterlinden, André G., Varma, Rohit, Willer, Cristen J., Blüher, Matthias, Butterworth, Adam S., Chambers, John Campbell, Chasman, Daniel I., Danesh, John, van Duijn, Cornelia, Dupuis, Josée, Franco, Oscar H., Franks, Paul W., Froguel, Philippe, Grallert, Harald, Groop, Leif, Han, Bok-Ghee, Hansen, Torben, Hattersley, Andrew T., Hayward, Caroline, Ingelsson, Erik, Kardia, Sharon L. R., Karpe, Fredrik, Kooner, Jaspal Singh, Köttgen, Anna, Kuulasmaa, Kari, Laakso, Markku, Lin, Xu, Lind, Lars, Liu, Yongmei, Loos, Ruth J. F., Marchini, Jonathan, Metspalu, Andres, Mook-Kanamori, Dennis, Nordestgaard, Børge G., Palmer, Colin N. A., Pankow, James S., Pedersen, Oluf, Psaty, Bruce M., Rauramaa, Rainer, Sattar, Naveed, Schulze, Matthias B., Soranzo, Nicole, Spector, Timothy D., Stefansson, Kari, Stumvoll, Michael, Thorsteinsdottir, Unnur, Tuomi, Tiinamaija, Tuomilehto, Jaakko, Wareham, Nicholas J., Wilson, James G., Zeggini, Eleftheria, Scott, Robert A., Barroso, Inês, Frayling, Timothy M., Goodarzi, Mark O., Meigs, James B., Boehnke, Michael, Saleheen, Danish, Morris, Andrew P., Rotter, Jerome I., and McCarthy, Mark I.

Published
2018
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4. Twins in Guinea-Bissau have a 'thin-fat' body composition compared to singletons.

Author

Wagh, Rucha, Bjerregaard-Andersen, Morten, Bandyopadhyay, Souvik, Yajnik, Pranav, Prasad, Rashmi B., Otiv, Suhas, Byberg, Stine, Hennild, Ditte Egegaard, Gomes, Gabriel Marciano, Christensen, Kaare, Sodemann, Morten, Jensen, Dorte Møller, and Yajnik, Chittaranjan S.

Subjects
BODY composition, MULTIPLE pregnancy, MATERNAL nutrition, FETOFETAL transfusion, AFRICANS, SECONDARY analysis
Abstract

The 'thrifty phenotype' hypothesis proposed that fetal undernutrition increases risk of diabetes in later life. Undernourished low birthweight Indian babies are paradoxically more adipose compared to well-nourished European babies, and are at higher risk of diabetes in later life. Twin pregnancies are an example of in utero growth restrictive environment due to shared maternal nutrition. There are few studies of body composition in twins. We performed secondary analysis of anthropometric body composition of twins and singletons in Guinea-Bissau, an economically deprived African country. Anthropometric data were available on 7–34 year-old twins (n = 209, 97 males) and singletons (n = 182, 86 males) in the Guinea-Bissau Twin Registry at the Bandim Health Project. Twins had lower birthweight (2420 vs 3100 g, p < 0.001); and at follow-up, lower height (HAZ mean Z-score difference, −0.21, p = 0.055), weight (WAZ −0.73, p = 0.024) and BMI (BAZ −0.22, p = 0.079) compared to singletons but higher adiposity (skinfolds: +0.33 SD, p = 0.001). Twins also had higher fasting (+0.38 SD, p < 0.001) and 2-hour OGTT glucose concentrations (+0.29 SD, p < 0.05). Linear mixed-effect model accounting for intrapair correlations and interactions confirmed that twins were thinner but fatter across the age range. Data on maternal morbidity and prematurity were not available in this cohort. African populations are known to have a muscular (less adipose) body composition. Demonstration of a thin-fat phenotype in twins in a low socio-economic African country supports the thesis that it could be a manifestation of early life undernutrition and not exclusive to Indians. This phenotype could increase risk of diabetes and related conditions. [ABSTRACT FROM AUTHOR]

Published
2022
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5. A Sequential Predictive Power Design for a COVID Vaccine Trial.

Author

Mukherjee, Rajat, Yajnik, Pranav, Muhlemann, Natalia, and Morgan-Bouniol, Caroline

Subjects
*VACCINE trials, *COVID-19 vaccines, *COVID-19, *VACCINE effectiveness, *BCG vaccines
Abstract

Medical investigations for therapeutics and vaccines for combating a pandemic such as COVID-19, call for flexible and adaptive trial designs that are capable of producing robust results amidst uncertainties. Here, we present a Bayesian sequential design to study the efficacy of Bacillus Calmette–Guérin (BCG) in providing protection against COVID-19 infections via its known "trained-immunity" mechanism. The main design consideration is to provide a framework to rapidly establish a proof-of-concept on the vaccine efficacy of BCG under a constantly evolving incidence rate and in the absence of prior efficacy data. The trial design is based on taking several interim looks and calculating the predictive power with the current cohort at each interim look. Decisions to stop the trial for futility or stopping enrollment for efficacy are made based on the current cohort predictive power computation. At any interim, if any of the above decisions cannot be taken then the study continues to enroll till the next interim look. Via extensive numerical studies, we show that the proposed design can achieve the desired frequentist operating characteristics, currently required by regulatory bodies while offering greater flexibility in terms of sample size and the ability to make robust interim decisions. [ABSTRACT FROM AUTHOR]

Published
2022
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7. Multigenerational Undernutrition Increases Susceptibility to Obesity and Diabetes that Is Not Reversed after Dietary Recuperation

Author

Hardikar, Anandwardhan A., Satoor, Sarang N., Karandikar, Mahesh S., Joglekar, Mugdha V., Puranik, Amrutesh S., Wong, Wilson, Kumar, Sandeep, Limaye, Amita, Bhat, Dattatray S., Januszewski, Andrzej S., Umrani, Malati R., Ranjan, Amaresh K., Apte, Kishori, Yajnik, Pranav, Bhonde, Ramesh R., Galande, Sanjeev, Keech, Anthony C., Jenkins, Alicia J., and Yajnik, Chittaranjan S.

Published
2015
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8. Re-sequencing Expands Our Understanding of the Phenotypic Impact of Variants at GWAS Loci.

Author

Service, Susan K., Teslovich, Tanya M., Fuchsberger, Christian, Ramensky, Vasily, Yajnik, Pranav, Koboldt, Daniel C., Larson, David E., Zhang, Qunyuan, Lin, Ling, Welch, Ryan, Ding, Li, McLellan, Michael D., O'Laughlin, Michele, Fronick, Catrina, Fulton, Lucinda L., Magrini, Vincent, Swift, Amy, Elliott, Paul, Jarvelin, Marjo-Riitta, and Kaakinen, Marika

Subjects
GENOMES, NUCLEOTIDE sequence, METABOLISM, TYPE 2 diabetes, TRIGLYCERIDES, PHENOTYPES
Abstract

Genome-wide association studies (GWAS) have identified >500 common variants associated with quantitative metabolic traits, but in aggregate such variants explain at most 20–30% of the heritable component of population variation in these traits. To further investigate the impact of genotypic variation on metabolic traits, we conducted re-sequencing studies in >6,000 members of a Finnish population cohort (The Northern Finland Birth Cohort of 1966 [NFBC]) and a type 2 diabetes case-control sample (The Finland-United States Investigation of NIDDM Genetics [FUSION] study). By sequencing the coding sequence and 5′ and 3′ untranslated regions of 78 genes at 17 GWAS loci associated with one or more of six metabolic traits (serum levels of fasting HDL-C, LDL-C, total cholesterol, triglycerides, plasma glucose, and insulin), and conducting both single-variant and gene-level association tests, we obtained a more complete understanding of phenotype-genotype associations at eight of these loci. At all eight of these loci, the identification of new associations provides significant evidence for multiple genetic signals to one or more phenotypes, and at two loci, in the genes ABCA1 and CETP, we found significant gene-level evidence of association to non-synonymous variants with MAF<1%. Additionally, two potentially deleterious variants that demonstrated significant associations (rs138726309, a missense variant in G6PC2, and rs28933094, a missense variant in LIPC) were considerably more common in these Finnish samples than in European reference populations, supporting our prior hypothesis that deleterious variants could attain high frequencies in this isolated population, likely due to the effects of population bottlenecks. Our results highlight the value of large, well-phenotyped samples for rare-variant association analysis, and the challenge of evaluating the phenotypic impact of such variants. [ABSTRACT FROM AUTHOR]

Published
2014
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9. Predictive Equations for Body Fat in Asian Indians.

Author

Yajnik, Pranav C. and Yajnik, Chittaranjan S.

Subjects
LETTERS to the editor, FAT
Abstract

A letter to the editor is presented in response to the article "Predictive Equations for Body Fat and Abdominal Fat With DXA and MRI As Reference in Asian Indians."

Published
2009
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10. Author Correction: Exome sequencing of Finnish isolates enhances rare-variant association power.

Author

Locke AE, Steinberg KM, Chiang CWK, Service SK, Havulinna AS, Stell L, Pirinen M, Abel HJ, Chiang CC, Fulton RS, Jackson AU, Kang CJ, Kanchi KL, Koboldt DC, Larson DE, Nelson J, Nicholas TJ, Pietilä A, Ramensky V, Ray D, Scott LJ, Stringham HM, Vangipurapu J, Welch R, Yajnik P, Yin X, Eriksson JG, Ala-Korpela M, Järvelin MR, Männikkö M, Laivuori H, Dutcher SK, Stitziel NO, Wilson RK, Hall IM, Sabatti C, Palotie A, Salomaa V, Laakso M, Ripatti S, Boehnke M, and Freimer NB

Abstract

An Amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2019
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