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Complex diseases are multifactorial traits caused by both genetic and environmental factors. They represent the most part of human diseases and include those with largest prevalence and mortality (cancer, heart disease, obesity, etc.).…

Quantitative Methods · Quantitative Biology 2009-05-08 Roberto Amato , Michele Pinelli , Daniel D'Andrea , Gennaro Miele , Mario Nicodemi , Giancarlo Raiconi , Sergio Cocozza

Rare diseases affect hundreds of millions of people worldwide but are hard to detect since they have extremely low prevalence rates (varying from 1/1,000 to 1/200,000 patients) and are massively underdiagnosed. How do we reliably detect…

Machine Learning · Computer Science 2019-12-02 Limeng Cui , Siddharth Biswal , Lucas M. Glass , Greg Lever , Jimeng Sun , Cao Xiao

Rapid advances in human genomics are enabling researchers to gain a better understanding of the role of the genome in our health and well-being, stimulating hope for more effective and cost efficient healthcare. However, this also prompts a…

Cryptography and Security · Computer Science 2018-08-20 Alexandros Mittos , Bradley Malin , Emiliano De Cristofaro

The advent of high--throughput transcription profiling technologies has enabled identification of genes and pathways associated with disease, providing new avenues for precision medicine. A key challenge is to analyze this data in the…

Quantitative Methods · Quantitative Biology 2019-01-11 Sahil D. Shah , Rosemary Braun

In recent years, Whole Genome Sequencing (WGS) evolved from a futuristic-sounding research project to an increasingly affordable technology for determining complete genome sequences of complex organisms, including humans. This prompts a…

Cryptography and Security · Computer Science 2015-02-17 Erman Ayday , Emiliano De Cristofaro , Jean-Pierre Hubaux , Gene Tsudik

There is an urgent and well-recognized need to extend genetic studies to diverse populations, but several obstacles continue to be prohibitive, including (but not limited to) the difficulty of recruiting individuals from diverse populations…

Populations and Evolution · Quantitative Biology 2021-09-28 Charleston W. K. Chiang

Whole and targeted sequencing of human genomes is a promising, increasingly feasible tool for discovering genetic contributions to risk of complex diseases. A key step is calling an individual's genotype from the multiple aligned short read…

Applications · Statistics 2012-06-29 Baiyu Zhou , Alice S. Whittemore

Identifying causative genes from patient phenotypes remains a significant challenge in precision medicine, with important implications for the diagnosis and treatment of genetic disorders. We propose a novel graph-based approach for…

Machine Learning · Computer Science 2025-06-17 Kamilia Zaripova , Ege Özsoy , Nassir Navab , Azade Farshad

Despite advances in clinical genetic testing, including the introduction of exome sequencing (ES), more than 50% of individuals with a suspected Mendelian condition lack a precise molecular diagnosis. Clinical evaluation is increasingly…

Genome sequencing technology has advanced at a rapid pace and it is now possible to generate highly-detailed genotypes inexpensively. The collection and analysis of such data has the potential to support various applications, including…

Cryptography and Security · Computer Science 2015-06-18 Muhammad Naveed , Erman Ayday , Ellen W. Clayton , Jacques Fellay , Carl A. Gunter , Jean-Pierre Hubaux , Bradley A. Malin , XiaoFeng Wang

We introduce Phen-Gen, a method which combines patient disease symptoms and sequencing data with prior domain knowledge to identify the causative gene(s) for rare disorders.

Genomics · Quantitative Biology 2015-03-02 Asif Javed , Saloni Agrawal , Pauline C. Ng

Disease-gene prediction (DGP) refers to the computational challenge of predicting associations between genes and diseases. Effective solutions to the DGP problem have the potential to accelerate the therapeutic development pipeline at early…

Machine Learning · Computer Science 2019-07-15 Vikash Singh , Pietro Lio'

Mapping gene expression as a quantitative trait using whole genome-sequencing and transcriptome analysis allows to discover the functional consequences of genetic variation. We developed a novel method and ultra-fast software Findr for…

Genomics · Quantitative Biology 2017-08-23 Lingfei Wang , Tom Michoel

Generalist Large Language Models (LLMs), such as GPT-4, have shown considerable promise in various domains, including medical diagnosis. Rare diseases, affecting approximately 300 million people worldwide, often have unsatisfactory clinical…

Computation and Language · Computer Science 2024-07-08 Xuanzhong Chen , Xiaohao Mao , Qihan Guo , Lun Wang , Shuyang Zhang , Ting Chen

Genetic data collection has become ubiquitous, producing genetic information about health, ancestry, and social traits. However, unregulated use, especially amid evolving scientific understanding, poses serious privacy and discrimination…

Computers and Society · Computer Science 2025-06-03 Vivek Ramanan , Ria Vinod , Cole Williams , Sohini Ramachandran , Suresh Venkatasubramanian

Human life expectancy has dramatically improved over the course of the last century. Although this reflects a global improvement in sanitation and medical care, this also implies that more people suffer from diseases that typically manifest…

Other Quantitative Biology · Quantitative Biology 2022-07-11 Alexis Rapin , Maroun Bou Sleiman , Johan Auwerx

With the advance of high-throughput sequencing technologies, it has become feasible to investigate the influence of the entire spectrum of sequencing variations on complex human diseases. Although association studies utilizing the new…

Methodology · Statistics 2025-08-19 Ming Li , Zihuai He , Min Zhang , Xiaowei Zhan , Changshuai Wei , Robert C Elston , Qing Lu

Alzheimer's Disease (AD) is the most widespread neurodegenerative disease, affecting over 50 million people across the world. While its progression cannot be stopped, early and accurate diagnostic testing can drastically improve quality of…

Machine Learning · Computer Science 2021-01-11 Vishnu Ram Sampathkumar

The task of understanding and interpreting the complex information encoded within genomic sequences remains a grand challenge in biological research and clinical applications. In this context, recent advancements in large language model…

Genomics · Quantitative Biology 2024-09-25 Qihang Zhao , Chi Zhang , Weixiong Zhang

Our genomes influence nearly every aspect of human biology from molecular and cellular functions to phenotypes in health and disease. Human genetics studies have now associated hundreds of thousands of differences in our DNA sequence…

Other Quantitative Biology · Quantitative Biology 2023-07-27 IGVF Consortium