Literature DB >> 22990389

Inferring causality and functional significance of human coding DNA variants.

Shamil R Sunyaev1.   

Abstract

Sequencing technology enables the complete characterization of human genetic variation. Statistical genetics studies identify numerous loci linked to or associated with phenotypes of direct medical interest. The major remaining challenge is to characterize functionally significant alleles that are causally implicated in the genetic basis of human traits. Here, I review three sources of evidence for the functional significance of human DNA variants in protein-coding genes. These include (i) statistical genetics considerations such as co-segregation with the phenotype, allele frequency in unaffected controls and recurrence; (ii) in vitro functional assays and model organism experiments; and (iii) computational methods for predicting the functional effect of amino acid substitutions. In spite of many successes of recent studies, functional characterization of human allelic variants remains problematic.

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Year:  2012        PMID: 22990389      PMCID: PMC3459643          DOI: 10.1093/hmg/dds385

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


  78 in total

1.  Pattern of sequence variation across 213 environmental response genes.

Authors:  Robert J Livingston; Andrew von Niederhausern; Anil G Jegga; Dana C Crawford; Christopher S Carlson; Mark J Rieder; Sivakumar Gowrisankar; Bruce J Aronow; Robert B Weiss; Deborah A Nickerson
Journal:  Genome Res       Date:  2004-09-13       Impact factor: 9.043

2.  Loss of protein structure stability as a major causative factor in monogenic disease.

Authors:  Peng Yue; Zhaolong Li; John Moult
Journal:  J Mol Biol       Date:  2005-10-21       Impact factor: 5.469

3.  Simultaneous inference of selection and population growth from patterns of variation in the human genome.

Authors:  Scott H Williamson; Ryan Hernandez; Adi Fledel-Alon; Lan Zhu; Rasmus Nielsen; Carlos D Bustamante
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-19       Impact factor: 11.205

4.  Physicochemical constraint violation by missense substitutions mediates impairment of protein function and disease severity.

Authors:  Eric A Stone; Arend Sidow
Journal:  Genome Res       Date:  2005-06-17       Impact factor: 9.043

5.  On the probability that a novel variant is a disease-causing mutation.

Authors:  Adele A Mitchell; Aravinda Chakravarti; David J Cutler
Journal:  Genome Res       Date:  2005-06-17       Impact factor: 9.043

6.  Most rare missense alleles are deleterious in humans: implications for complex disease and association studies.

Authors:  Gregory V Kryukov; Len A Pennacchio; Shamil R Sunyaev
Journal:  Am J Hum Genet       Date:  2007-03-08       Impact factor: 11.025

7.  De novo germline and postzygotic mutations in AKT3, PIK3R2 and PIK3CA cause a spectrum of related megalencephaly syndromes.

Authors:  Jean-Baptiste Rivière; Ghayda M Mirzaa; Brian J O'Roak; Margaret Beddaoui; Diana Alcantara; Robert L Conway; Judith St-Onge; Jeremy A Schwartzentruber; Karen W Gripp; Sarah M Nikkel; Thea Worthylake; Christopher T Sullivan; Thomas R Ward; Hailly E Butler; Nancy A Kramer; Beate Albrecht; Christine M Armour; Linlea Armstrong; Oana Caluseriu; Cheryl Cytrynbaum; Beth A Drolet; A Micheil Innes; Julie L Lauzon; Angela E Lin; Grazia M S Mancini; Wendy S Meschino; James D Reggin; Anand K Saggar; Tally Lerman-Sagie; Gökhan Uyanik; Rosanna Weksberg; Birgit Zirn; Chandree L Beaulieu; Jacek Majewski; Dennis E Bulman; Mark O'Driscoll; Jay Shendure; John M Graham; Kym M Boycott; William B Dobyns
Journal:  Nat Genet       Date:  2012-06-24       Impact factor: 38.330

8.  TGFB2 mutations cause familial thoracic aortic aneurysms and dissections associated with mild systemic features of Marfan syndrome.

Authors:  Catherine Boileau; Dong-Chuan Guo; Nadine Hanna; Ellen S Regalado; Delphine Detaint; Limin Gong; Mathilde Varret; Siddharth K Prakash; Alexander H Li; Hyacintha d'Indy; Alan C Braverman; Bernard Grandchamp; Callie S Kwartler; Laurent Gouya; Regie Lyn P Santos-Cortez; Marianne Abifadel; Suzanne M Leal; Christine Muti; Jay Shendure; Marie-Sylvie Gross; Mark J Rieder; Alec Vahanian; Deborah A Nickerson; Jean Baptiste Michel; Guillaume Jondeau; Dianna M Milewicz
Journal:  Nat Genet       Date:  2012-07-08       Impact factor: 38.330

9.  Rate of de novo mutations and the importance of father's age to disease risk.

Authors:  Augustine Kong; Michael L Frigge; Gisli Masson; Soren Besenbacher; Patrick Sulem; Gisli Magnusson; Sigurjon A Gudjonsson; Asgeir Sigurdsson; Aslaug Jonasdottir; Adalbjorg Jonasdottir; Wendy S W Wong; Gunnar Sigurdsson; G Bragi Walters; Stacy Steinberg; Hannes Helgason; Gudmar Thorleifsson; Daniel F Gudbjartsson; Agnar Helgason; Olafur Th Magnusson; Unnur Thorsteinsdottir; Kari Stefansson
Journal:  Nature       Date:  2012-08-23       Impact factor: 49.962

10.  Gene losses during human origins.

Authors:  Xiaoxia Wang; Wendy E Grus; Jianzhi Zhang
Journal:  PLoS Biol       Date:  2006-02-14       Impact factor: 8.029

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  28 in total

1.  Long runs of homozygosity are enriched for deleterious variation.

Authors:  Zachary A Szpiech; Jishu Xu; Trevor J Pemberton; Weiping Peng; Sebastian Zöllner; Noah A Rosenberg; Jun Z Li
Journal:  Am J Hum Genet       Date:  2013-06-06       Impact factor: 11.025

Review 2.  Rare-disease genetics in the era of next-generation sequencing: discovery to translation.

Authors:  Kym M Boycott; Megan R Vanstone; Dennis E Bulman; Alex E MacKenzie
Journal:  Nat Rev Genet       Date:  2013-09-03       Impact factor: 53.242

3.  Large-scale mass spectrometric detection of variant peptides resulting from nonsynonymous nucleotide differences.

Authors:  Gloria M Sheynkman; Michael R Shortreed; Brian L Frey; Mark Scalf; Lloyd M Smith
Journal:  J Proteome Res       Date:  2013-11-11       Impact factor: 4.466

4.  Evolutionary balancing is critical for correctly forecasting disease-associated amino acid variants.

Authors:  Li Liu; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2013-03-05       Impact factor: 16.240

Review 5.  Rare-variant association analysis: study designs and statistical tests.

Authors:  Seunggeung Lee; Gonçalo R Abecasis; Michael Boehnke; Xihong Lin
Journal:  Am J Hum Genet       Date:  2014-07-03       Impact factor: 11.025

6.  Searching for missing heritability: designing rare variant association studies.

Authors:  Or Zuk; Stephen F Schaffner; Kaitlin Samocha; Ron Do; Eliana Hechter; Sekar Kathiresan; Mark J Daly; Benjamin M Neale; Shamil R Sunyaev; Eric S Lander
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-17       Impact factor: 11.205

Review 7.  Coming of age: ten years of next-generation sequencing technologies.

Authors:  Sara Goodwin; John D McPherson; W Richard McCombie
Journal:  Nat Rev Genet       Date:  2016-05-17       Impact factor: 53.242

8.  Chip-based direct genotyping of coding variants in genome wide association studies: utility, issues and prospects.

Authors:  Caroline M Nievergelt; Nathan E Wineinger; Ondrej Libiger; Phillip Pham; Guangfa Zhang; Dewleen G Baker; Nicholas J Schork
Journal:  Gene       Date:  2014-02-09       Impact factor: 3.688

9.  Widespread macromolecular interaction perturbations in human genetic disorders.

Authors:  Nidhi Sahni; Song Yi; Mikko Taipale; Juan I Fuxman Bass; Jasmin Coulombe-Huntington; Fan Yang; Jian Peng; Jochen Weile; Georgios I Karras; Yang Wang; István A Kovács; Atanas Kamburov; Irina Krykbaeva; Mandy H Lam; George Tucker; Vikram Khurana; Amitabh Sharma; Yang-Yu Liu; Nozomu Yachie; Quan Zhong; Yun Shen; Alexandre Palagi; Adriana San-Miguel; Changyu Fan; Dawit Balcha; Amelie Dricot; Daniel M Jordan; Jennifer M Walsh; Akash A Shah; Xinping Yang; Ani K Stoyanova; Alex Leighton; Michael A Calderwood; Yves Jacob; Michael E Cusick; Kourosh Salehi-Ashtiani; Luke J Whitesell; Shamil Sunyaev; Bonnie Berger; Albert-László Barabási; Benoit Charloteaux; David E Hill; Tong Hao; Frederick P Roth; Yu Xia; Albertha J M Walhout; Susan Lindquist; Marc Vidal
Journal:  Cell       Date:  2015-04-23       Impact factor: 41.582

Review 10.  Genotype to phenotype via network analysis.

Authors:  Hannah Carter; Matan Hofree; Trey Ideker
Journal:  Curr Opin Genet Dev       Date:  2013-11-14       Impact factor: 5.578

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