| P50 | author | Yun Zhu | Q57323873 |
| P2093 | author name string | Momiao Xiong | |
| | Li Luo | |
| P2860 | cites work | Sequencing technologies - the next generation | Q27860568 |
| | Accounting for bias from sequencing error in population genetic estimates | Q28256156 |
| | Human genome sequencing using unchained base reads on self-assembling DNA nanoarrays | Q28263829 |
| | Epigenome-wide association studies for common human diseases | Q28710498 |
| | Pooled association tests for rare variants in exon-resequencing studies | Q28743126 |
| | Generating samples under a Wright-Fisher neutral model of genetic variation | Q29547168 |
| | Understanding mechanisms underlying human gene expression variation with RNA sequencing | Q29614412 |
| | Transcriptome genetics using second generation sequencing in a Caucasian population | Q29614413 |
| | Optimum designs for next-generation sequencing to discover rare variants for common complex disease | Q30537560 |
| | Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data | Q33359015 |
| | A groupwise association test for rare mutations using a weighted sum statistic | Q33408787 |
| | A data-adaptive sum test for disease association with multiple common or rare variants | Q33562753 |
| | A Novel Adaptive Method for the Analysis of Next-Generation Sequencing Data to Detect Complex Trait Associations with Rare Variants Due to Gene Main Effects and Interactions | Q33728642 |
| | Population genetic inference from genomic sequence variation | Q33736564 |
| | Comprehensive Approach to Analyzing Rare Genetic Variants | Q33745005 |
| | An evolutionary framework for association testing in resequencing studies. | Q33750133 |
| | A new testing strategy to identify rare variants with either risk or protective effect on disease | Q33815362 |
| | Testing for an unusual distribution of rare variants | Q33847792 |
| | Common functional principal components analysis: a new approach to analyzing human movement data. | Q33890142 |
| | Rare-variant association testing for sequencing data with the sequence kernel association test | Q33954046 |
| | Association studies for next-generation sequencing | Q35085282 |
| | Bayesian analysis of rare variants in genetic association studies | Q35435860 |
| | Using Wavelet-Based Functional Mixed Models to Characterize Population Heterogeneity in Accelerometer Profiles: A Case Study | Q37070863 |
| | Estimation of allele frequencies from high-coverage genome-sequencing projects | Q37173368 |
| | Population-based resequencing of ANGPTL4 uncovers variations that reduce triglycerides and increase HDL. | Q37389540 |
| | Statistical analysis strategies for association studies involving rare variants | Q37799723 |
| | An evaluation of statistical approaches to rare variant analysis in genetic association studies | Q39941009 |
| | Association tests using kernel-based measures of multi-locus genotype similarity between individuals | Q40859777 |
| | To Identify Associations with Rare Variants, Just WHaIT: Weighted Haplotype and Imputation-Based Tests | Q42369086 |
| | De novo fragment assembly with short mate-paired reads: Does the read length matter? | Q42961632 |
| | An abundance of rare functional variants in 202 drug target genes sequenced in 14,002 people | Q43136367 |
| | The distribution of rare alleles. | Q52361222 |
| | Comparison of methods and sampling designs to test for association between rare variants and quantitative traits. | Q53435624 |
| P433 | issue | 8 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | quantitative trait locus | Q853421 |
| P304 | page(s) | 513-524 | |
| P577 | publication date | 2012-08-01 | |
| P1433 | published in | Journal of Medical Genetics | Q14640281 |
| P1476 | title | Quantitative trait locus analysis for next-generation sequencing with the functional linear models | |
| P478 | volume | 49 | |