ArticleHuman heredity2011
PSEUDOMARKER: a powerful program for joint linkage and/or linkage disequilibrium analysis on mixtures of singletons and related individuals.
Article in Human heredity, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- LD block disorder-specific pleiotropic roles of novel CRHR1 in type 2 diabetes and depression disorder comorbidity.European archives of psychiatry and clinical neuroscience · 2025Article
- The melanocortin receptor genes are linked to and associated with the risk of polycystic ovary syndrome in Italian families.Journal of ovarian research · 2024Article
- Implication of vasopressin receptor genes (AVPR1A and AVPR1B) in the susceptibility to polycystic ovary syndrome.Journal of ovarian research · 2024Article
- Digenic inheritance involving a muscle-specific protein kinase and the giant titin protein causes a skeletal muscle myopathy.Nature genetics · 2024Article
- The melatonin receptor genes are linked and associated with the risk of polycystic ovary syndrome.Journal of ovarian research · 2024Article
- The glucocorticoid receptor gene (NR3C1) is linked to and associated with polycystic ovarian syndrome in Italian families.Journal of ovarian research · 2024Article
- The prolactin receptor gene (PRLR) is linked and associated with the risk of polycystic ovarian syndrome.Journal of ovarian research · 2023Article
- Linkage analysis using whole exome sequencing data implicates SLC17A1, SLC17A3, TATDN2 and TMEM131L in type 1 diabetes in Kuwaiti families.Scientific reports · 2023Article
- Linkage and association of variants in the dopamine receptor 2 gene (DRD2) with polycystic ovary syndrome.Journal of ovarian research · 2023Article
- Novel Risk Variants in the Oxytocin Receptor Gene (International journal of molecular sciences · 2023Article
- Familial Linkage and Association of theInternational journal of molecular sciences · 2022Article
- Comorbidity of NovelInternational journal of molecular sciences · 2022Article
- Novel Linkage Peaks Discovered for Diabetic Nephropathy in Individuals With Type 1 Diabetes.Diabetes · 2021Article
- Two missense mutations in KCNQ1 cause pituitary hormone deficiency and maternally inherited gingival fibromatosis.Nature communications · 2017Article
- Article
- A genome-wide screen for acrophobia susceptibility loci in a Finnish isolate.Scientific reports · 2016Article
- AMIGO-Kv2.1 Potassium Channel Complex Is Associated With Schizophrenia-Related Phenotypes.Schizophrenia bulletin · 2016Article
- Genetic Modifiers of Age at Onset in Carriers of the G206A Mutation in PSEN1 With Familial Alzheimer Disease Among Caribbean Hispanics.JAMA neurology · 2015Article
- Coding mutations in SORL1 and Alzheimer disease.Annals of neurology · 2015Article
- Disease-related mutations among Caribbean Hispanics with familial dementia.Molecular genetics & genomic medicine · 2014Article
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Authors and funding
6 authors.
Funding
Abstract
A decade ago, there was widespread enthusiasm for the prospects of genome-wide association studies to identify common variants related to common chronic diseases using samples of unrelated individuals from populations. Although technological advancements allow us to query more than a million SNPs across the genome at low cost, a disappointingly small fraction of the genetic portion of common disease etiology has been uncovered. This has led to the hypothesis that less frequent variants might be involved, stimulating a renaissance of the traditional approach of seeking genes using multiplex families from less diverse populations. However, by using the modern genotyping and sequencing technology, we can now look not just at linkage, but jointly at linkage and linkage disequilibrium (LD) in such samples. Software methods that can look simultaneously at linkage and LD in a powerful and robust manner have been lacking. Most algorithms cannot jointly analyze datasets involving families of varying structures in a statistically or computationally efficient manner. We have implemented previously proposed statistical algorithms in a user-friendly software package, PSEUDOMARKER. This paper is an announcement of this software package. We describe the motivation behind the approach, the statistical methods, and software, and we briefly demonstrate PSEUDOMARKER's advantages over other packages by example.
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