pit fall s with mtdna analysis in medical genetics hans-jürgen bandelt (hamburg)

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Pitfalls with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg) EMBO World Programme Workshop on Human Evolution and Disease, Hyderabad, India. 6 th – 9 th December 2006

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Pit fall s with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg). EMBO World Programme Workshop on Human Evolution and Disease, Hyderabad, India. 6 th – 9 th December 2006. From the journal Oncogene, this year, one could pick up the following exciting news: - PowerPoint PPT Presentation

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Page 1: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Pitfalls with mtDNA analysis in medical genetics

 

Hans-Jürgen Bandelt (Hamburg) 

EMBO World Programme Workshop on Human Evolution and Disease, Hyderabad, India. 6th – 9th December 2006

Page 2: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

From the journal Oncogene, this year, one could pick up the following exciting news:

“Very strikingly, the mitochondrial sequences in this study (tumor samples as well as controls) with the Indian population revealed a unique profile of eight sequence variants, viz. A73G, A263G, A1438G, A2706G, A4769G, C7028T, A8860G and A15326G appeared at high frequencies in all samples and could be of evolutionary significance.”

Page 3: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Well, not, quite ...

R0 =“... the profile could be specific to the Indian population.”

Page 4: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Leaving aside mutations that were systematically missed (such as A750G and C14766T, probably due to the use of a wrong reference sequence), the claim would translate into:

... Near-absence of haplogroup R0 could be specific to the Indian population.

Note that haplogroup R0 is specific to the West Eurasian mtDNA pool.

Page 5: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Absence of phylogenetic knowledge about human mitochondrial DNA is characteristic of clinical genetics.

Page 6: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

In a paper from Muscle and Nerve, 2003, the authors (from Taipei) identified among completely sequenced 17 cases “a double mutation (A3243G and A14693G) in a patient with MELAS syndrome, who had a diabetic mother and normal siblings. The A14693G substitution is significant from structural and evolutionary points of view. This result indicates that mtDNA should be sequenced in its entirety for the complete evaluation of mitochondriopathy.”

However, the complete mtDNA sequence of that MELAS patient was not reported ...

Page 7: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Y162663834

16231 16223 16126 14693 14178 10398 8392

Y2

16311

15244 14914 7859 6941 5147 482

Y1a

7933

15460 15221 10097 146

Y1b

Y1

N9

5417

N

However, it has been known since 2003 that A14693G is a characteristic mutation of the East Asian haplogroup Y

“A14693G is not identified in 205 human controls and 76 randomly examined species.”

Bandelt, Yao & Kivisild (2005)

Page 8: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

According to Trejaut et al. (2005), haplogroup Y2 does occur in parts of Taiwan

Page 9: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Suppose that you would now find A14693G in some disease context and would consult MITOMAP prior to publishing your case:

Page 10: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)
Page 11: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Green light from MITOMAP, thus – and here you go:

Dong-Ling Tang, Xin Zhou, Xia Li, Lei Zhao, Fang Liu

Diabetes Res Clin Pract. 2006 Jan 13

“… in a Chinese population, a total of 184 T2DM cases and 279 matched healthy controls were recruited. … Our results suggest that the mutations of T3394C and A14693G may contribute to genetic predisposition to T2DM, with the T16189C variant being associated with insulin resistance.”Dong-ling Tang, Xin Zhou, Ke-yuan Zhou, Xia Li, Lei Zhao, Fang Liu, Fang Zheng, Song-mei Liu

Zhonghua Yi Xue Yi Chuan Xue Za Zhi. 2005 Dec 22

“A total of 184 cases of type 2 diabetes mellitus and 210 matched healthy controls with normal glucose tolerance were recruited for the study. …. The mutations of 3394 (T-->C) and 14693 (A-->G) may contribute to the genetic predisposition to type 2 diabetes; 16189 (T-->C) variant is associated with insulin resistance and risk factor of diabetes.”

Page 12: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Double-publication does not seem to be a rare phenomenon in China.

Another way of re-cycling is to publish one and the same mutation as novel multiple times – either found in one and the same patient who was re-examined again and again, or in several different patients – as long as the mutation would not find its way into MITOMAP.

Page 13: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

The control group investigated by Tang et al. (2006) has the peculiar feature that in a sample of size 279 there was absolutely no haplogroup M9a‘b lineage (T3394C). Other studies would, however, rather suggest a figure of 2.7% (in Han Chinese). Under the hypothesis that this percentage is the true frequency, then the event of observing 0/279 M9a‘b lineages would have a probability of 0.05%!

Page 14: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

There are further cases, in cancer research, where control group data are almost void of any variation and thus are either cooked or fabricated, e.g. taken over (via copy-and-paste) from other studies (which have a most peculiar error spectrum themselves).

Page 15: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

11719 73

HV

4769 1438

7028 2706

H

H2

15326 8860

315+C 263

rCRS

L3

CRS UC-Case 3

16524+G10027+G

95728494T8483T8021+A7917+G7904+G

645651014919+T

4032-4033del2036+C1080+C1074+C

98246455

M7a

16324 14364

5899+C

11084 11017

M7a1a

M7a1a5

522-523del 13768

150431478310400489

M

163625178A4883

UC-Case 2

13586124171185311771G11102+G10999G

7337500del

D4c

D4c1

1622397553391207199194

191+A

D4c1a

2766

16245

1614714570G1195611712G11457G11247G118539883G9860G594246623338G3285G1486G1000A

UC-Case 1

15301108731039895408701

1622312705

N

R

Control 1

11955C11947C10590G

39692472del

1476614368G14365G14272G14199G13702G113359559G49853423G3106del

1288212406106096962

F1

16129 137599053

F1a’c

F

R9

16304 13928C

3970

103106392

249del

750H2a

R0=pre-HV14766

Control 2

885086396479+A2687del

741

B4

B

8281-8289del16189

16217

1

12

2

2

1466884143010

D

D4

3 4

3

3

5

M7

16209 12771 4958 4386 2772 2626

M7a1

44

4

4

M8

1629815487T

85847196A 4715

161842835

163191447086846179

M8a1

M8a

5

55

5

5

5

5

5

2

22

11

1

1

1

1111

1 111

1

1111

11

22

2

22

2

2

22

3

333333

3

33

33

3

3

3333

3

33333

3

3

3333

4

44

44

44

44

4

4

4

4

44

44

4

4

44

5555

55

55

55

5

5

5555

7852

Controls Patients

Missed mutations

False mutations

Cooked data

Page 16: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

In particular, mtDNA analysis in cancer studies is riddled with all kinds of error – for example, sample mix-up or contamination:

Bundles of perceived somatic mutations then actually trace parts of phylogenetic pathways in the mtDNA phylogeny (Salas et al. 2005).

Page 17: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

How would authors of inflicted papers react?

Well, they could say that the revisited pathway would just express the disease...

In one remarkable case it was proclaimed:

“This patient had a germline mitochondrial haplotype J, which “shifted” in positions 185, 295, and 16126 back to the phylogenetically older haplotype H, but shifted in position 195 to haplotype W and in position 204 to nowhere.”

Page 18: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

*Said of a style of humour: bizarre and surreal

Pythonesque...*

Page 19: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Monty Python is the collective name of the creators of Monty Python's Flying Circus, a British television comedy sketch show broadcast by the BBC from 1969 to 1974.

The Dead Parrot sketch is one of the most famous in the history of television comedy.

MP‘s foot

Information and links: Wikipedia

Page 20: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

The Dead Parrot sketch portrays a conflict between a disgruntled customer and a shopkeeper, who hold

contradictory positions on the vital state of a Norwegian Blue parrot (an apparent absurdity in itself).

"I know a dead parrot when I see one, and I'm lookin' at one right now."

Page 21: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

The customer complains that the parrot he has recently purchased at the location is, in fact, dead. The

shopkeeper denies this and points out the beauty of its plumage, further suggesting that the bird is merely asleep.

Page 22: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Monty Python's Dead Parrot sketch has come to life in molecular anthropology:

 

The Caucasian King Size parrot

starring

Ivani Nasidze & Mark Stoneking

from the MP Institute EVA

Page 23: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Natal history of the Caucasian King Size parrot:

2001 Nasidze and Stoneking published a Caucasian HVS-I data set (but did not show the data)

2003 At the International Symposium on Forensic DNA Technologies in Münster this Caucasian data set was accused of having an enormous (king size) error spectrum

2004 Nasidze and colleagues gave a false statement (in the Annals of Human Genetics) about the

vital state of their old data set, by employing a sort of a filter analysis (however, non-adjusted to actual sequencing range):

Page 24: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Labels 16000+

“... (analysis not shown). These reticulations were just due to one sequence*, as removal of this sequence removed the excess reticulations.”

False statement! Here‘s the torso of the reticulate network after removal of that sequence

(Bandelt and Kivisild 2006).

* Corrected Sequence not shown

Page 25: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

This Caucasian HVS-I data set has now been displayed publicly and can be inspected in the book:

Advertisement

Human Mitochondrial DNA and the Evolution of Homo sapiens

Bandelt, Hans-Jürgen; Richards, Martin; Macaulay, Vincent (Eds.)

Springer-Verlag, 2006, 117.65€

Page 26: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)
Page 27: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)
Page 28: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Those who wish to evaluate the idiosyncratic variation of this Caucasian data set but have no prior knowledge of natural mtDNA variation may proceed as follows:

Page 29: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Take out all mutations ever observed in any one of the complete sequences referred to in Max Ingman‘s database (http://www.genpat.uu.se/mtDB/)

and represent the surviving variation in the form of a quasi-median network that highlights the character conflicts

and compare with other data sets:

Page 30: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Beautiful plumage From: Bandelt & Dür (2006)*

Page 31: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

*Hans-Jürgen Bandelt & Arne Dür (2007) Translating DNA data tables into quasi-median networks for parsimony analysis and error detection. Molecular Phylogenetics and Evolution 42: 256–271.

In this article it is demonstrated that the mtDB2005-filtered variation of the Caucasian data is even messier than corresponding randomised data tables.

Page 32: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

The stone dead Caucasian King Size parrot:

Bandelt & Kivisild (2006) Quality assessment of DNA sequence data: autopsy of a mis-sequenced mtDNA population sample. Annals of Human Genetics 70: 314–326.

Stoneking & Nasidze (2006) The patient is not dead yet: premature autopsy of a mtDNA data set. Annals of Human Genetics 70: 327–331.

Parson (2006) The art of reading sequence electropherograms. Annals of Human Genetics

Stoneking & Nasidze (2006) Reply to Parson. Annals of Human Genetics

Page 33: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)
Page 34: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Remarkable electropherogram!

What‘s wrong with it?

Page 35: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

This electropherogram don't enter into it. That‘s what‘s wrong with it.

No one has ever claimed that the transition C16168T is a phantom mutation – instead, it‘s the transversion C16168A that may be a phantom mutation.

In Nasidze et al. (2001) the 16168 transition always occurs together with the 16343 transition: this constitutes a confirmed motif within haplogroup U3 (Macaulay et al. 1999).

Page 36: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Eight of these paired electropherograms are irrelevant here because they just show other sequences with the rCRS nucleotide in question. Instead, the heavy strand electropherograms could have been shown in these places!

Page 37: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Walther Parson has aptly demonstrated that those electropherograms reflect well-known and reproducible sequencer artifacts and were not interpreted properly by Nasidze and Stoneking.

They have always asserted that they have read both strands – but without ever giving any evidence for that:“As stated both in the original papers (Nasidze & Stoneking 2001: p.1198; Nasidze et al. 2004: p.207) and in the reply to Bandelt & Kivisild (Stoneking & Nasidze, 2006: p.329), both strands were indeed sequenced in all samples.”

Thus, they are iterating a false statement.

Page 38: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

You know a dead parrot when you see one:

... “(data not shown)” ** and not submitted to GenBank either

... “(analysis not shown)”

Page 39: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

In case you wish to register a complaint, please, address yourself to the ombudsperson:

“Scientific honesty and the observance of the principle of good scientific practice are essential in all scientific work which seeks to expand our knowledge and which is intended to earn respect from the public.”

Page 40: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

From Mark Stoneking’s website

(http://email.eva.mpg.de/~stonekg/files/ombud.htm):“As elected Ombudsperson of the Max Planck Institute for Evolutionary Anthropology, I stand at your disposal in case you are experiencing or observing any kind of scientific misconduct, or if you need advice on the subject of good scientific practice.”

“Scientific misconduct includes: false statements, infringement of intellectual property, impairment of the research work of others, joint accountability.”

Page 41: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Acknowledgement:Sincere thanks are due to

Martin Richards (reminding me of MP‘s immortal Dead Parrot sketch)

and all collaborators (Anita Brandstätter, Claudio Bravi, Mike Coble, Arne Dür, Toomas Kivisild, Jüri Parik, Walther Parson, Antonio Salas, Richard Villems, Yong-Gang Yao)

Page 42: Pit fall s  with mtDNA analysis in medical genetics Hans-Jürgen Bandelt (Hamburg)

Thank you for listening