Literature DB >> 11230178

Prediction of deleterious human alleles.

S Sunyaev1, V Ramensky, I Koch, W Lathe, A S Kondrashov, P Bork.   

Abstract

Single nucleotide polymorphisms (SNPs) constitute the bulk of human genetic variation, occurring with an average density of approximately 1/1000 nucleotides of a genotype. SNPs are either neutral allelic variants or are under selection of various strengths, and the impact of SNPs on fitness remains unknown. Identification of SNPs affecting human phenotype, especially leading to risks of complex disorders, is one of the key problems of medical genetics. SNPs in protein-coding regions that cause amino acid variants (non-synonymous cSNPs) are most likely to affect phenotypes. We have developed a straightforward and reliable method based on physical and comparative considerations that estimates the impact of an amino acid replacement on the three-dimensional structure and function of the protein. We estimate that approximately 20% of common human non-synonymous SNPs damage the protein. The average minor allele frequency of such SNPs in our data set was two times lower than that of benign non-synonymous SNPs. The average human genotype carries approximately 10(3) damaging non-synonymous SNPs that together cause a substantial reduction in fitness.

Entities:  

Mesh:

Year:  2001        PMID: 11230178     DOI: 10.1093/hmg/10.6.591

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  439 in total

1.  Accounting for human polymorphisms predicted to affect protein function.

Authors:  Pauline C Ng; Steven Henikoff
Journal:  Genome Res       Date:  2002-03       Impact factor: 9.043

2.  HapScope: a software system for automated and visual analysis of functionally annotated haplotypes.

Authors:  Jinghui Zhang; William L Rowe; Jeffery P Struewing; Kenneth H Buetow
Journal:  Nucleic Acids Res       Date:  2002-12-01       Impact factor: 16.971

3.  Testing computational prediction of missense mutation phenotypes: functional characterization of 204 mutations of human cystathionine beta synthase.

Authors:  Qiong Wei; Liqun Wang; Qiang Wang; Warren D Kruger; Roland L Dunbrack
Journal:  Proteins       Date:  2010-07

4.  Path to facilitate the prediction of functional amino acid substitutions in red blood cell disorders--a computational approach.

Authors:  Rajith B; George Priya Doss C
Journal:  PLoS One       Date:  2011-09-13       Impact factor: 3.240

5.  Mutations in Fanconi anemia genes and the risk of esophageal cancer.

Authors:  Mohammad R Akbari; Reza Malekzadeh; Pierre Lepage; David Roquis; Ali R Sadjadi; Karim Aghcheli; Abbas Yazdanbod; Ramin Shakeri; Jafar Bashiri; Masoud Sotoudeh; Akram Pourshams; Parviz Ghadirian; Steven A Narod
Journal:  Hum Genet       Date:  2011-01-30       Impact factor: 4.132

6.  SIFT: Predicting amino acid changes that affect protein function.

Authors:  Pauline C Ng; Steven Henikoff
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

7.  Exome sequencing finds a novel PCSK1 mutation in a child with generalized malabsorptive diarrhea and diabetes insipidus.

Authors:  Michael Yourshaw; R Sergio Solorzano-Vargas; Lindsay A Pickett; Iris Lindberg; Jiafang Wang; Galen Cortina; Anna Pawlikowska-Haddal; Howard Baron; Robert S Venick; Stanley F Nelson; Martín G Martín
Journal:  J Pediatr Gastroenterol Nutr       Date:  2013-12       Impact factor: 2.839

8.  Reconstructing large regions of an ancestral mammalian genome in silico.

Authors:  Mathieu Blanchette; Eric D Green; Webb Miller; David Haussler
Journal:  Genome Res       Date:  2004-12       Impact factor: 9.043

9.  Rare loss-of-function mutations in ANGPTL family members contribute to plasma triglyceride levels in humans.

Authors:  Stefano Romeo; Wu Yin; Julia Kozlitina; Len A Pennacchio; Eric Boerwinkle; Helen H Hobbs; Jonathan C Cohen
Journal:  J Clin Invest       Date:  2008-12-15       Impact factor: 14.808

10.  Complex heterozygous WNT1 mutation in severe recessive osteogenesis imperfecta of a Chinese patient.

Authors:  Yanqin Lu; Yunzhang Dai; Yanzhou Wang; Naixiang Zhai; Jian Zhang; Junlong Liu; Xiaoli Yin; Tianyou Li; Xiuzhi Ren; Jinxiang Han
Journal:  Intractable Rare Dis Res       Date:  2018-02
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.