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Full-Text Articles in Medical Genetics
Identification Of Healthspan-Promoting Genes In Caenorhabditis Elegans Based On A Human Gwas Study, Nadine Saul, Ineke Dhondt, Mikko Kuokkanen, Markus Perola, Clara Verschuuren, Brecht Wouters, Henrik Von Chrzanowski, Winnok H. De Vos, Liesbet Temmerman, Walter Luyten
Identification Of Healthspan-Promoting Genes In Caenorhabditis Elegans Based On A Human Gwas Study, Nadine Saul, Ineke Dhondt, Mikko Kuokkanen, Markus Perola, Clara Verschuuren, Brecht Wouters, Henrik Von Chrzanowski, Winnok H. De Vos, Liesbet Temmerman, Walter Luyten
School of Medicine Publications and Presentations
To find drivers of healthy ageing, a genome-wide association study (GWAS) was performed in healthy and unhealthy older individuals. Healthy individuals were defined as free from cardiovascular disease, stroke, heart failure, major adverse cardiovascular event, diabetes, dementia, cancer, chronic obstructive pulmonary disease (COPD), asthma, rheumatism, Crohn’s disease, malabsorption or kidney disease. Six single nucleotide polymorphisms (SNPs) with unknown function associated with ten human genes were identified as candidate healthspan markers. Thirteen homologous or closely related genes were selected in the model organism C. elegans for evaluating healthspan after targeted RNAi-mediated knockdown using pathogen resistance, muscle integrity, chemotaxis index and the …
Inherited Causes Of Clonal Haematopoiesis In 97,691 Whole Genomes, Alexander G. Bick, Joshua S. Weinstock, Satish K. Nandakumar, Charles P. Fulco, Erik L. Bao, Seyedeh M. Zekavat, Mindy D. Szeto, Juan M. Peralta, Joanne E. Curran, John Blangero
Inherited Causes Of Clonal Haematopoiesis In 97,691 Whole Genomes, Alexander G. Bick, Joshua S. Weinstock, Satish K. Nandakumar, Charles P. Fulco, Erik L. Bao, Seyedeh M. Zekavat, Mindy D. Szeto, Juan M. Peralta, Joanne E. Curran, John Blangero
School of Medicine Publications and Presentations
Age is the dominant risk factor for most chronic human diseases, but the mechanisms through which ageing confers this risk are largely unknown1. The age-related acquisition of somatic mutations that lead to clonal expansion in regenerating haematopoietic stem cell populations has recently been associated with both haematological cancer2,3,4 and coronary heart disease5—this phenomenon is termed clonal haematopoiesis of indeterminate potential (CHIP)6. Simultaneous analyses of germline and somatic whole-genome sequences provide the opportunity to identify root causes of CHIP. Here we analyse high-coverage whole-genome sequences from 97,691 participants of diverse …
Benchmarking Relatedness Inference Methods With Genome-Wide Data From Thousands Of Relatives, Monica D. Ramstetter, Thomas D. Dyer, Donna M. Lehman, Joanne E. Curran, Ravindranath Duggirala, John Blangero, Jason G. Mezey, Amy L. Williams
Benchmarking Relatedness Inference Methods With Genome-Wide Data From Thousands Of Relatives, Monica D. Ramstetter, Thomas D. Dyer, Donna M. Lehman, Joanne E. Curran, Ravindranath Duggirala, John Blangero, Jason G. Mezey, Amy L. Williams
School of Medicine Publications and Presentations
Inferring relatedness from genomic data is an essential component of genetic association studies, population genetics, forensics, and genealogy. While numerous methods exist for inferring relatedness, thorough evaluation of these approaches in real data has been lacking. Here, we report an assessment of 12 state-of-the-art pairwise relatedness inference methods using a data set with 2485 individuals contained in several large pedigrees that span up to six generations. We find that all methods have high accuracy (92–99%) when detecting first- and second-degree relationships, but their accuracy dwindles to76% of relative pairs. Overall, the most accurate methods are Estimation of Recent Shared Ancestry …