A review of feature selection methods for machine learning-based disease risk prediction

N Pudjihartono, T Fadason, AW Kempa-Liehr… - Frontiers in …, 2022 - frontiersin.org
Machine learning has shown utility in detecting patterns within large, unstructured, and
complex datasets. One of the promising applications of machine learning is in precision …

Genetics of diabetes mellitus and diabetes complications

JB Cole, JC Florez - Nature reviews nephrology, 2020 - nature.com
Diabetes is one of the fastest growing diseases worldwide, projected to affect 693 million
adults by 2045. Devastating macrovascular complications (cardiovascular disease) and …

Single-cell eQTL mapping identifies cell type–specific genetic control of autoimmune disease

S Yazar, J Alquicira-Hernandez, K Wing, A Senabouth… - Science, 2022 - science.org
The human immune system displays substantial variation between individuals, leading to
differences in susceptibility to autoimmune disease. We present single-cell RNA sequencing …

Causal relationship between gut microbiota and autoimmune diseases: a two-sample Mendelian randomization study

Q Xu, JJ Ni, BX Han, SS Yan, XT Wei, GJ Feng… - Frontiers in …, 2022 - frontiersin.org
Background Growing evidence has shown that alterations in gut microbiota composition are
associated with multiple autoimmune diseases (ADs). However, it is unclear whether these …

Pancreatic β-cells in type 1 and type 2 diabetes mellitus: different pathways to failure

DL Eizirik, L Pasquali, M Cnop - Nature Reviews Endocrinology, 2020 - nature.com
Loss of functional β-cell mass is the key mechanism leading to the two main forms of
diabetes mellitus—type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) …

Complex genetic signatures in immune cells underlie autoimmunity and inform therapy

V Orrù, M Steri, C Sidore, M Marongiu, V Serra, S Olla… - Nature …, 2020 - nature.com
We report on the influence of~ 22 million variants on 731 immune cell traits in a cohort of
3,757 Sardinians. We detected 122 significant (P< 1.28× 10− 11) independent association …

Interpreting type 1 diabetes risk with genetics and single-cell epigenomics

J Chiou, RJ Geusz, ML Okino, JY Han, M Miller… - Nature, 2021 - nature.com
Genetic risk variants that have been identified in genome-wide association studies of
complex diseases are primarily non-coding. Translating these risk variants into mechanistic …

From GWAS to function: using functional genomics to identify the mechanisms underlying complex diseases

E Cano-Gamez, G Trynka - Frontiers in genetics, 2020 - frontiersin.org
Genome-wide association studies (GWAS) have successfully mapped thousands of loci
associated with complex traits. These associations could reveal the molecular mechanisms …

Benefits and limitations of genome-wide association studies

V Tam, N Patel, M Turcotte, Y Bossé, G Paré… - Nature Reviews …, 2019 - nature.com
Genome-wide association studies (GWAS) involve testing genetic variants across the
genomes of many individuals to identify genotype–phenotype associations. GWAS have …

Synergistic insights into human health from aptamer-and antibody-based proteomic profiling

M Pietzner, E Wheeler, J Carrasco-Zanini… - Nature …, 2021 - nature.com
Affinity-based proteomics has enabled scalable quantification of thousands of protein targets
in blood enhancing biomarker discovery, understanding of disease mechanisms, and …