Michael C. Turchin

ORCID: 0000-0003-3569-1529
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About
Contact & Profiles
Research Areas
  • Genetic Associations and Epidemiology
  • Genetic Mapping and Diversity in Plants and Animals
  • Genetic and phenotypic traits in livestock
  • Genomics and Rare Diseases
  • Evolution and Genetic Dynamics
  • Genetic Syndromes and Imprinting
  • Invertebrate Immune Response Mechanisms
  • Renal Diseases and Glomerulopathies
  • Animal Behavior and Reproduction
  • Liver Disease Diagnosis and Treatment
  • Insect symbiosis and bacterial influences
  • Prenatal Screening and Diagnostics
  • Hepatitis C virus research
  • Genomic variations and chromosomal abnormalities
  • Birth, Development, and Health
  • Advanced Statistical Methods and Models
  • Atherosclerosis and Cardiovascular Diseases
  • Lipoproteins and Cardiovascular Health
  • Bayesian Methods and Mixture Models
  • Statistical Methods and Bayesian Inference
  • Pharmaceutical Economics and Policy
  • Data Analysis with R
  • Intergenerational and Educational Inequality Studies
  • Nutrition, Genetics, and Disease
  • Statistical Methods and Inference

Bristol-Myers Squibb (United States)
2024

Genomic Health (United States)
2021-2022

Icahn School of Medicine at Mount Sinai
2021-2022

Brown University
2018-2020

John Brown University
2018-2020

University of Chicago
2013-2019

Broad Institute
2010-2012

Harvard University
2012

Boston Children's Hospital
2011-2012

Cornell University
2007-2011

Genetic predictions of height differ among human populations and these differences have been interpreted as evidence polygenic adaptation. These were first detected using SNPs genome-wide significantly associated with height, shown to grow stronger when large numbers sub-significant included, leading excitement about the prospect analyzing fractions genome detect adaptation for multiple traits. Previous studies based on SNP effect size measurements in GIANT Consortium meta-analysis. Here we...

10.7554/elife.39702 article EN cc-by eLife 2019-03-21

Proteins present in the seminal fluid of Drosophila melanogaster (accessory gland proteins Acps) contribute to female postmating behavioral changes, sperm storage, competition, and immunity. Consequently, male-female coevolution host-pathogen interactions are thought underlie rapid, adaptive evolution that characterizes several Acp-encoding genes. We propose proteases likely targets selection due their demonstrated or potential roles between-sex immune processes. use within- between-species...

10.1093/molbev/msm270 article EN Molecular Biology and Evolution 2007-12-05

Abstract Genetic predictions of height differ among human populations and these differences are too large to be explained by genetic drift. This observation has been interpreted as evidence polygenic adaptation. Differences across were detected using SNPs genome-wide significantly associated with height, many studies also found that the signals grew stronger when numbers subsignificant analyzed. led excitement about prospect analyzing fractions genome detect subtle selection claims...

10.1101/355057 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2018-06-25

Genome-wide association studies (GWAS) have now been conducted for hundreds of phenotypes relevance to human health. Many such GWAS involve multiple closely-related collected on the same samples. However, vast majority these analyzed using simple univariate analyses, which consider one phenotype at a time. This is despite fact that, least in simulation experiments, multivariate analyses shown be more powerful detecting associations. Here, we conduct 13 different publicly-available datasets...

10.1371/journal.pgen.1008431 article EN cc-by PLoS Genetics 2019-10-09

In order to gain further insight into the processes underlying rapid reproductive protein evolution, we have conducted a population genetic survey of 44 tract–expressed proteases, protease inhibitors, and targets proteolysis in Drosophila melanogaster simulans. Our findings suggest that positive selection on this group genes is temporally heterogeneous, with different patterns inferred using tests sensitive at time scales. Such variation strength through may be expected under models sexual...

10.1093/molbev/msr197 article EN Molecular Biology and Evolution 2011-09-22

Abstract Summary: Meta-analysis across genome-wide association studies is a common approach for discovering genetic associations. However, in some meta-analysis efforts, individual-level data cannot be broadly shared by study investigators due to privacy and Institutional Review Board concerns. In such cases, researchers confirm that each represents unique group of people, leading potentially inflated test statistics false positives. To resolve this problem, we created software tool,...

10.1093/bioinformatics/bts045 article EN Bioinformatics 2012-02-01

Abstract Although genome-wide association studies have provided valuable insights into the genetic basis of complex traits and diseases, translating these findings to causal genes their downstream mechanisms remains challenging. We performed trans expression quantitative trait locus ( -eQTL) meta-analysis in 3,734 lymphoblastoid cell line samples, identifying four robust loci that replicated an independent multi-ethnic dataset 682 individuals. prioritised a missense variant ubiquitin...

10.1101/2024.07.15.24310442 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2024-07-16

Abstract Genome-wide association studies (GWAS) have now been conducted for hundreds of phenotypes relevance to human health. Many such GWAS involve multiple closely-related collected on the same samples. However, vast majority these analyzed using simple univariate analyses, which consider one phenotype at a time. This is de-spite fact that, least in simulation experiments, multivariate analyses shown be more powerful detecting associations. Here, we conduct 13 different publicly-available...

10.1101/638882 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2019-05-16

Abstract Genome-wide association (GWA) studies have identified thousands of significant genetic associations in humans across a number complex traits. However, the majority these focus on linear additive relationships between genotypic and phenotypic variation. Epistasis, or non-additive interactions, has been as major driver both trait architecture evolution multiple model organisms; yet, this same phenomenon is not considered to be factor underlying human There are two possible reasons for...

10.1101/2020.09.24.312421 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2020-09-25

Human populations have undergone dramatic changes in population size the past 100,000 years, including a severe bottleneck of non-African and recent explosive growth. There is currently great interest how these demographic events may affected burden deleterious mutations individuals allele frequency spectrum disease populations. Here we use genetic models to show that--contrary previous conjectures--recent human demography has likely had very little impact on average carried by individuals....

10.48550/arxiv.1305.2061 preprint EN other-oa arXiv (Cornell University) 2013-01-01

ABSTRACT Introduction Chronic kidney disease (CKD) is a common complex condition associated with significant morbidity and mortality in the US worldwide. Early detection critical for effective prevention of progression. Polygenic prediction CKD could enhance screening progression, but this approach has not been optimized risk ancestrally diverse populations. Methods We developed validated genome-wide polygenic score (GPS) defined by estimated glomerular filtration rate (eGFR) <60...

10.1101/2021.10.25.21265398 preprint EN cc-by-nd medRxiv (Cold Spring Harbor Laboratory) 2021-10-26
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