2022 - Research.com Best Female Scientist Award
Cecilia M. Lindgren mostly deals with Genome-wide association study, Genetics, Single-nucleotide polymorphism, Genetic association and Genetic architecture. The concepts of her Genome-wide association study study are interwoven with issues in Body mass index, Bioinformatics, Allele frequency, Medical genetics and Type 2 diabetes. Her research ties Glucose homeostasis and Genetics together.
Her Single-nucleotide polymorphism research includes elements of Copy-number variation and Heritability. Cecilia M. Lindgren has included themes like Immunology, Blood pressure and Genetic predisposition in her Genetic association study. Her Genetic architecture study incorporates themes from Imputation, Linkage disequilibrium, Haplotype, 1000 Genomes Project and Minor allele frequency.
Cecilia M. Lindgren mainly focuses on Genetics, Genome-wide association study, Internal medicine, Genetic association and Type 2 diabetes. Her work is connected to Single-nucleotide polymorphism, Locus, Quantitative trait locus, Gene and Allele, as a part of Genetics. Her Genome-wide association study study combines topics from a wide range of disciplines, such as Body mass index, Mendelian randomization, Bioinformatics, Medical genetics and Genetic architecture.
Her Internal medicine research integrates issues from Endocrinology and Oncology. Her biological study spans a wide range of topics, including Imputation, Minor allele frequency, Disease and Genetic variation. Her studies deal with areas such as Insulin and Insulin resistance as well as Type 2 diabetes.
Her main research concerns Genome-wide association study, Genetics, Internal medicine, Genetic association and Disease. The subject of her Genome-wide association study research is within the realm of Gene. Her Genetics study combines topics in areas such as Adiponectin and Body fat distribution.
Her Internal medicine research includes themes of Diabetes mellitus, Endocrinology and Type 2 diabetes. She interconnects Pregnancy, Case-control study, Blood pressure and Minor allele frequency, Allele frequency in the investigation of issues within Genetic association. Her Disease research is multidisciplinary, relying on both Mendelian randomization and Atrial fibrillation.
Cecilia M. Lindgren focuses on Genome-wide association study, Genetic association, Bioinformatics, Genetic architecture and Genetics. Her research in Genome-wide association study intersects with topics in Mendelian randomization, Linkage disequilibrium, Medical genetics, Computational biology and Genetic testing. Her biological study spans a wide range of topics, including Quantitative trait locus, Case-control study, Blood pressure and Heritability.
She usually deals with Bioinformatics and limits it to topics linked to Disease and Mendelian Randomization Analysis. Her Genetic architecture study integrates concerns from other disciplines, such as Bioelectrical impedance analysis, Lean body mass, FTO gene, Single-nucleotide polymorphism and Locus. Her Genetics research integrates issues from Coding and Inference.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
Paul R. Burton;David G. Clayton;Lon R. Cardon;Nick Craddock.
PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes
Vamsi K Mootha;Cecilia M Lindgren;Cecilia M Lindgren;Karl-Fredrik Eriksson;Aravind Subramanian.
Nature Genetics (2003)
A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity
Timothy M. Frayling;Nicholas J. Timpson;Michael N. Weedon;Eleftheria Zeggini;Eleftheria Zeggini;Eleftheria Zeggini.
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda.
Nature Genetics (2010)
Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes
Eleftheria Zeggini;Michael N Weedon;Cecilia M Lindgren;Timothy M Frayling.
The common PPARgamma Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes.
David Altshuler;Joel N. Hirschhorn;Joel N. Hirschhorn;Joel N. Hirschhorn;Mia Klannemark;Cecilia M. Lindgren;Cecilia M. Lindgren.
Nature Genetics (2000)
Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes
E Zeggini;L J Scott;R Saxena;B F Voight.
Nature Genetics (2008)
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
Josée Dupuis;Josée Dupuis;Claudia Langenberg;Inga Prokopenko;Richa Saxena;Richa Saxena.
Nature Genetics (2010)
Hundreds of variants clustered in genomic loci and biological pathways affect human height
Hana Lango Allen;Karol Estrada;Guillaume Lettre;Sonja I. Berndt.
Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis
Benjamin F. Voight;Benjamin F. Voight;Laura J. Scott;Valgerdur Steinthorsdottir;Andrew P. Morris.
Nature Genetics (2010)
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